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GVR Report cover AI In Healthcare Market Size, Share, And Trends Report

AI In Healthcare Market Size, Share, And Trends Analysis Report By Component (Hardware, Services), By Application, By End Use, By Technology, By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2025 - 2030

  • Report ID: GVR-3-68038-951-7
  • Number of Report Pages: 150
  • Format: PDF
  • Historical Range: 2018 - 2023
  • Forecast Period: 2025 - 2030 
  • Industry: Healthcare

AI In Healthcare Market Size & Trends

The global AI in healthcare market size was estimated at USD 26.57 billion in 2024 and is projected to grow at a CAGR of 38.62% from 2025 to 2030. A key factor driving market growth is the increasing demand in the healthcare sector for enhanced efficiency, accuracy, and better patient outcomes. According to a March 2024 Microsoft-IDC study, 79% of healthcare organizations are presently utilizing AI technology. In addition, the return on investment (ROI) is realized within 14 months, generating USD 3.20 for every USD 1 invested in AI.

AI In Healthcare Market Size, by Component 2020 - 2030 (USD Billion)

AI technologies hold transformative potential in various areas, including medical imaging analysis, predictive analytics, personalized treatment planning, and drug discovery, with the potential to transform conventional healthcare practices.

The exponential growth in healthcare data, sourced from electronic health records, medical imaging scans, wearable devices, and genomic sequencing, presents significant opportunities for AI-powered solutions to extract actionable insights and support clinical decision-making.

Increasing shortage of healthcare workers is also driving the adoption of AI and machine learning (ML) technologies. According to World Economic Forum estimates from May 2023, there will be a global health worker deficit of 10 million by 2030. Hence, AI algorithms can be trained to analyze patient health data, aiding care providers in rapid diagnosis and treatment planning.

Supportive government initiatives, a rise in mergers and acquisitions, technological collaborations, and the impact of the COVID-19 pandemic have all contributed to the market's growth and accelerated the adoption of AI in healthcare. AI and ML algorithms are increasingly used for rapid and accurate diagnosis, including the detection of COVID-19 positive cases using personalized patient data. For instance, a 2020 NCBI study found that AI-based algorithms accurately detected 68% of COVID-19 positive cases in a dataset of 25 patients initially diagnosed as negative by healthcare professionals.

The implementation of AI and ML technologies aims to enhance patient care, reduce machine downtime, and lower care expenses, driving market growth. The pandemic has further accelerated the adoption of AI-based technologies, particularly in diagnostics, patient and medication management, claims processing, workflow optimization, machine integration, and cybersecurity within healthcare settings.

Survey/Case Study Insights

    • Medtronic Survey, November 2023: AI's Potential for Earlier Diagnosis and Improved Access to Care

Survey Insights:

Medtronic Survey, November 2023:

Analyst Insights:

Analyst Insights:

    • Infosys 2018 Survey: Amplifying Human Potential Through Purposeful Artificial Intelligence

Survey Insights:

Infosys 2018 Survey - Survey Insights

Analyst Insights:

Analyst Insights:

Market Concentration & Characteristics

The chart below illustrates the relationship between industry concentration, industry characteristics, and industry participants. The X-axis represents the level of market concentration, ranging from low to high. The Y-axis represents various market characteristics, including industry competition, degree of innovation, level of mergers & acquisition activities, regulatory impact, and regional expansion. For instance, the artificial intelligence (AI) in healthcare industry is highly fragmented, with many players entering the market and launching new innovative products.

The Healthcare AI market exhibits a high degree of innovation, characterized by ongoing advancements in technology. Rapid developments in machine learning, deep learning, natural language processing, and computer vision are driving the evolution of AI-powered healthcare solutions. For instance, in June 2023, Saama introduced two innovative machine learning (ML) and artificial intelligence (AI)-based solutions for clinical trials.

AI In Healthcare Industry Dynamics

Mergers and acquisitions (M&A) play a significant role in shaping the healthcare AI market landscape. Companies engage in M&A to expand their AI software and services, expand their market reach, or acquire specialized technology and expertise. For example, in January 2023, GE Healthcare acquired MIM Software Inc., a provider of AI-based imaging analysis software for radiology.

Regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the United States and GDPR (General Data Protection Regulation) in Europe establish standards for safeguarding patient data privacy and security. Compliance with these regulations is crucial for AI applications in healthcare to ensure the safe and secure handling of patient information, reducing the risk of data breaches and unauthorized access.

Threat of substitute products in the AI healthcare market is anticipated to be low throughout the forecast period. While alternative technologies or approaches may serve as substitutes in specific AI applications within healthcare, their capabilities often differ from AI-driven solutions. For example, in drug discovery, traditional research and development methods may be utilized instead of AI-driven algorithms for identifying potential drug candidates. Similarly, wearable devices and IoT sensors offer alternative means of gathering patient data for monitoring and diagnosis, but they typically lack the advanced analytical capabilities inherent in AI systems.

End Users are becoming increasingly aware of the potential benefits of AI in improving patient care, operational efficiency, and healthcare outcomes. Education initiatives and industry events helped raise awareness about the capabilities and applications of AI in healthcare.

Component Insights

Based on component, the software solution segment dominated the market with the largest revenue share of over 46% in 2024, and it is expected to grow at the fastest CAGR during the forecast period. This growth is attributed to the rapidly growing adoption rate of AI-based software solutions amongst healthcare providers, payers, and patients. For instance, in September 2019, GE Healthcare partnered with five Chinese local software developers, namely, 12Sigma Technologies, Biomind, Shukun Technology, Yizhun Medical AI, and YITU Technology, to collaboratively work on developing the Edison AI platform and support the smooth digital transformation of GE Healthcare.

The services segment is anticipated to grow at a significant CAGR from 2024 to 2030. This significant growth rate is attributed to the rising penetration of AI-based technologies in several healthcare applications such as clinical trials, virtual assistants, robot-assisted surgeries, dosage error reduction, and fraud detection.

Application Insights

Based on application, the robot-assisted surgery segment dominated the market in 2024 with the largest revenue share of over 13%. The surge in robot-assisted surgeries, coupled with increased funding and investment in AI platform development, are key drivers propelling AI penetration in this field. For instance, according to a May 2023 Nasdaq, Inc. article, Intuitive Surgical, a leading surgical robotics provider, reported robust Q1 2023 results, with revenue up by 14% YoY to USD 1.7B, driven by a 26% growth in robotics procedures, surpassing expectations by 12 points. Moreover, the placement of 312 systems exceeded expectations. In addition, the establishment of the Clinical Robotic Surgery Association in India in August 2019 underscores the growing demand for robotic surgeries and the need for trained professionals in this domain. The anticipated rise in AI adoption is attributed to the shortage of skilled surgeons.

The fraud detection segment is anticipated to grow at the fastest CAGR from 2025 to 2030.  The increasing penetration of health insurance, coupled with the rising number of fraud cases in the healthcare industry, are factors contributing to segment growth. For instance, in March 2024, the government issued guidelines to intensify measures on healthcare frauds. Moreover, the growing focus on curbing healthcare costs, along with the technological advancements to launch advanced analytical techniques, is also expected to fuel segment growth. For instance, in August 2024, MediBuddy launched an artificial intelligence (AI)-powered fraud detection system for healthcare reimbursement claims. The system uses machine learning algorithms to provide real-time analysis and alerts, aiding in the identification of potential errors and fraud before they occur.

Technology Insights

Based on technology, the machine learning segment held the largest market share of over 35 % in 2024. The healthcare industry generates vast amounts of data, including electronic health records (EHRs), medical imaging, genomic data, and wearable device data. Machine learning excels at extracting valuable insights from these large and diverse datasets, enabling healthcare providers to make data-driven decisions and improve patient outcomes. This technology is extensively integrated into healthcare solutions for disease diagnosis, prognosis, and treatment planning. Leveraging patient data patterns and correlations, machine learning models can detect early disease indicators, forecast patient outcomes, and propose personalized treatment strategies, thereby enhancing the accuracy and timeliness of interventions.

AI In Healthcare Market Share, by Technology, 2024 (%)

The context-aware computing segment is expected to grow at the fastest CAGR over the forecast period. AI algorithms integrate and analyze diverse data sources such as electronic health records (EHRs), real-time vital signs, medical history, environmental factors, and patient activity to understand patient context dynamically.

End Use Insights

Based on end use, healthcare companies dominated the market with the largest revenue share of over 30% in 2024. The widespread adoption of AI technologies in drug development, leveraging genomic information, medical records, and clinical trial data, enables the identification of personalized treatment options and the targeting of therapies to specific patient groups. For instance, in April 2025, PRISM BioLab and Elix partnered to advance AI-driven drug discovery using PRISM BioLab's small-molecule peptide-mimetic PepMetics technology and Elix's AI drug discovery platform.

“Improving drug discovery efficiency is an eternal challenge. Delivering better medicines to patients and healthcare professionals as quickly as possible requires innovation. Our PepMetics technology has characteristics that are highly compatible with AI applications.”

-PRISM BioLab CTO Tatsuya Toma

Moreover, AI-driven analytics and predictive modeling improve the design, execution, and analysis of clinical trials, resulting in more efficient and cost-effective trials. As per a study by Scilife N.V. in January 2024, approximately 80% of professionals in the pharmaceutical and life sciences sectors utilize AI in drug discovery. Furthermore, research from another study suggests that AI technology reduces the time required by pharmaceutical companies to discover new drugs from 5-6 years to just one year.

The healthcare providers (hospitals, outpatient facilities, and others) segment is expected to grow significantly over the forecast period. AI-powered medical imaging analysis tools aid healthcare providers in interpreting medical images like X-rays, MRIs, and CT scans. These tools improve diagnostic accuracy, shorten interpretation time, and facilitate early disease detection, resulting in prompt interventions and enhanced patient care. For instance, in February 2025, researchers in Switzerland developed a robust AI model that can automatically segment major anatomical structures in MRI images, independent of the imaging sequence. This advancement enhances the efficiency and accuracy of MRI analysis, potentially transforming diagnostic practices in medical imaging.

In addition, hospitals are leveraging AI-driven predictive analytics to anticipate patient admission rates, pinpoint at-risk populations, and allocate resources effectively. These factors are driving growth within the segment throughout the forecast period.

Regional Insights

North America AI in healthcare industry dominated the global market and accounted for the largest revenue share of over 54% in 2024. This can be attributed to advancements in healthcare IT infrastructure, growing care expenditures, widespread adoption of AI/ML technologies, favorable government initiatives, lucrative funding options, and the presence of several key market players. Factors such as a growing geriatric population, changing lifestyles, increasing prevalence of chronic disorders, growing demand for value-based care, and rising awareness levels towards the implementation of AI-based technologies are further propelling market growth in North America.

AI In Healthcare Market Trends, by Region, 2025 - 2030

U.S. AI In Healthcare Market Trends

The Artificial Intelligence (AI) in healthcare industry in the U.S. is expected to grow significantly over the forecast period. This can be attributed to rising demand for efficient and personalized healthcare solutions, coupled with advancements in AI research and development, especially in machine learning and natural language processing, alongside regulatory initiatives and supportive policies.

Europe AI In Healthcare Market Trends

The Artificial Intelligence (AI) in healthcare industry in Europe is anticipated to witness significant growth during the forecast period. This can be attributed to the widespread adoption of AI technologies and increasing investments in AI by both government and private organizations. For example, in 2021, the Department of Health and Social Care in Europe allocated USD 49.3 million (£36 million) across thirty-eight AI initiatives aimed at enhancing patient care and expediting diagnosis.

Artificial Intelligence (AI) in healthcare industry in the UK held the largest market share in the European region in 2024. AI applications are becoming increasingly prevalent in healthcare, particularly in areas such as medical imaging analysis, predictive analytics, and personalized treatment planning. The UK's National Health Service (NHS) is actively exploring AI technologies to enhance patient care, optimize operations, and tackle various healthcare challenges. In addition, supportive government initiatives are expected to propel market growth further. For instance, in April 2025, the UK government encouraged the use of AI in hospitals to improve patient care.

Asia Pacific AI In Healthcare Market Trends

The Artificial Intelligence (AI) in healthcare industry in the Asia Pacific region is expected to experience significant growth in the coming years. This growth is fueled by rapid innovations and advancements in IT infrastructure, as well as the emergence of entrepreneurship ventures specializing in AI-based technologies. Increasing investments from private investors, venture capitalists, and non-profit organizations aimed at enhancing clinical outcomes, improving data analysis and security, and reducing costs are driving adoption rates in the region. In addition, favorable government initiatives that support and promote the adoption of AI-based technologies by healthcare organizations and providers are key factors driving the growth of the Asia Pacific market.

The Artificial Intelligence (AI) in healthcare industry in China held the largest market share in the Asia Pacific region in 2024. This can be attributed to the increasing adoption of AI technologies for diagnosis, medical imaging, and robot assisted surgeries in the country. Moreover, supportive government initiatives and partnerships and collaborations by key market players contribute to market growth further. For instance, in May 2024, Wuhan Union Hospital and Baidu Health partnered to enhance outpatient services by integrating AI technology into healthcare. 

Latin America AI In Healthcare Market Trends

The Artificial Intelligence (AI) in healthcare industry in Latin America is anticipated to grow significantly in the coming years. This can be attributed to the growing awareness about AI technologies, increasing government spending and collaboration activities.

Middle East & Africa AI In Healthcare Market Trends

The Artificial Intelligence (AI) in healthcare industry in Middle East & Africa region is anticipated to grow significantly during the forecast period. The rising prevalence of chronic diseases in the region and the growing need for efficient and accurate diagnosis and treatment methods are prompting Healthcare providers to integrate AI into their systems.

Key AI In Healthcare Company Insights

Market players are utilizing innovative product development strategies, partnerships, and mergers, and acquisitions to expand their presence in response to the increasing demand for early and accurate disease detection, cost containment, addressing the shortage of healthcare providers, and providing value-based care.

Key AI In Healthcare Companies:

The following are the leading companies in the AI in healthcare market. These companies collectively hold the largest market share and dictate industry trends.

  • Microsoft
  • IBM
  • Google
  • NVIDIA Corporation
  • Intel Corporation
  • Itrex Group
  • GE Healthcare
  • Medtronic
  • Oracle
  • Medidata
  • Merck
  • IQVIA

Recent Developments

  • In April 2025, HelloCareAI raised USD 47 million to expand its AI-driven virtual care platform for smart hospitals. The initiative focuses on enhancing patient care through AI-assisted nursing, remote monitoring, and efficient workflow management.

  • In February 2025, Innovaccer launched "Agents of Care," AI-powered assistants designed to combat burnout among healthcare professionals. These agents automate routine administrative tasks, enhancing operational efficiency and enabling healthcare professionals to dedicate more time to patient interactions.

  • In January 2025, VitVio secured USD 2.05 million in pre-seed funding to develop AI-powered operating rooms to enhance surgical efficiency and patient safety.

  • In September 2024, Huawei Launched Medical Technology Digitalization 2.0 Solution to facilitate precision healthcare with AI.

  • In June 2024, the National Health Research Institute (NHRI) and Chang Gung Memorial Hospital (CGMH) adopted NVIDIA's accelerated computing and generative AI technologies to advance biomedical research.

“The use of AI in healthcare will fundamentally change the way we approach disease prevention and treatment. With AI’s ability to analyze vast amounts of data quickly and accurately, we can develop personalized medicine strategies and early intervention methods that were previously unattainable.”

-Dr. Hung-Yi Chiou, director of the Institute of Population Health Sciences (IPHS) at NHRI.

  • In March 2024, Microsoft collaborated with NVIDIA to enhance AI innovation and accelerate computing capabilities. This collaboration leverages Microsoft Azure's global scale and advanced computing along with NVIDIA's DGX Cloud, and Clara suite, to accelerate innovation and improve patient care.

“Microsoft is building on its longstanding collaboration with NVIDIA to empower the healthcare and life sciences industry with the power of Azure and generative AI, helping unlock new horizons for clinical research, drug discovery and patient care worldwide. Through this collaboration, we aim to help the industry unlock breakthroughs in healthcare, making care more precise, accessible and effective to deliver a meaningful difference in the lives of patients globally.”

- Peter Durlach, corporate vice president, Health & Life Sciences, Microsoft

  • In March 2024, NVIDIA introduced new Generative AI Microservices to transform medical technology (MedTech), drug discovery, and digital health. This innovative approach aims to reshape healthcare technology by harnessing advanced artificial intelligence (AI) capabilities.

“For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible. By helping healthcare companies easily build and manage AI solutions, we’re enabling them to harness the full power and potential of generative AI.”

- Kimberly Powell, vice president of healthcare at NVIDIA

  • In September 2023, Merck KGaA entered into a strategic collaboration with Exscientia and BenevolentAI to drive accelerated drug discovery with the integration of high-end AI platforms.

AI In Healthcare Market Report Scope

Report Attribute

Details

Market size value in 2025

USD 36.67 billion

Revenue forecast in 2030

USD 187.69 billion

Growth rate

CAGR of 38.62% from 2025 to 2030

Historical data

2018 - 2023

Forecast period

2025 - 2030

Quantitative units

Revenue in USD million/billion and CAGR from 2024 to 2030

Report coverage

Revenue, company ranking, competitive landscape, growth factors, and trends

Segments covered

Component, application, technology, end use, and region

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

U.S.; Canada; Germany; UK; Spain; France; Italy; Sweden; Denmark; Norway; Russia; Japan; China; India; South Korea; Australia; Singapore, Thailand; Brazil; Mexico; Argentina; South Africa; Saudi Arabia; UAE; Kuwait

Key companies profiled

Microsoft; IBM; NVIDIA Corporation; Intel Corporation; Itrex Group; GE Healthcare; Google; Medtronic; Oracle; Medidata; Merck; IQVIA

Customization scope

Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Global AI In Healthcare Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country-level and provides an analysis of industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research, Inc. has segmented the AI in healthcare market report based on component, application, technology, end use, and region:

  • Component Outlook (Revenue, USD Million, 2018 - 2030)

    • Hardware

      • Processor

        • MPU (memory protection unit)

        • FPGA (Field-programmable gate array)

        • GPU (Graphics processing unit)

        • ASIC (Application-specific integrated circuit)

      • Memory

      • Network

        • Adapter

        • Interconnect

        • Switch

    • Software Solutions

      • AI platform

        • Application Program Interface (API)

        • Machine Learning Framework

      • AI Solutions

        • On premise

        • Cloud based

    • Services

      • Deployment & Integration

      • Support & Maintenance

      • Others (Consulting, Compliance management etc.)

  • Application Outlook (Revenue, USD Million, 2018 - 2030)

    • Robot Assisted Surgery

    • Virtual Assistants

    • Administrative Workflow Assistants

    • Connected Medical devices

    • Medical Imaging & Diagnostics

    • Clinical Trials

    • Fraud Detection

    • Cybersecurity

    • Dosage Error Reduction

    • Precision medicine

    • Drug discovery & development

    • Lifestyle management & remote patient monitoring

    • Wearables

    • Others (Patient engagement, etc.)

  • Technology Outlook (Revenue, USD Million, 2018 - 2030)

    • Machine Learning

      • Deep learning

      • Supervised

      • Unsupervised

      • Others (Reinforcement learning, Semi supervised)

    • Natural Language Processing

      • Smart Assistance

      • OCR (Optical Character Recognition)

      • Auto Coding

      • Text analytics

      • Speech analytics

      • Classification and categorization

    • Context-Aware Computing'

    • Computer Vision

  • End Use Outlook (Revenue, USD Million, 2018 - 2030)

    • Healthcare providers (hospitals, outpatient facilities, and others)

    • Healthcare payers

    • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)

    • Patients

    • Others

  • Regional Outlook (Revenue, USD Million, 2018 - 2030)

    • North America

      • U.S.

      • Canada

    • Europe

      • UK

      • Germany

      • France

      • Italy

      • Spain

      • Sweden

      • Denmark

      • Norway

      • Russia

    • Asia Pacific

      • China

      • India

      • Japan

      • Australia

      • Singapore

      • South Korea

      • Thailand

    • Latin America

      • Brazil

      • Mexico

      • Argentina

    • MEA

      • South Africa

      • Saudi Arabia

      • UAE

      • Kuwait

Frequently Asked Questions About This Report

Table of Contents

Chapter 1. Methodology and Scope
                    1.1. Market Segmentation & Scope
                    1.2. Research Methodology
                    1.3. Information Procurement
                        1.3.1. Purchased database
                        1.3.2. GVR’s internal database
                        1.3.3. Secondary sources
                        1.3.4. Primary research
                        1.3.5. Details of primary research
                            1.3.5.1. Data for primary interviews in North America
                            1.3.5.2. Data for primary interviews in Europe
                            1.3.5.3. Data for primary interviews in Asia Pacific
                            1.3.5.4. Data for primary interviews in Latin America
                            1.3.5.5. Data for Primary interviews in MEA
                    1.4. Information or Data Analysis
                        1.4.1. Data analysis models
                    1.5. Market Formulation & Data Validation
                    1.6. Model Details
                        1.6.1. Commodity flow analysis (Model 1)
                        1.6.2. Approach 1: Commodity flow approach
                        1.6.3. Volume price analysis (Model 2)
                        1.6.4. Approach 2: Volume price analysis
                    1.7. List of Secondary Sources
                    1.8. List of Primary Sources
                    1.9. Objectives
Chapter 2. Executive Summary
                    2.1. Market Outlook
                    2.2. Segment Outlook
                        2.2.1. Component outlook
                        2.2.2. Application outlook
                        2.2.3. Technology outlook
                        2.2.4. End Use outlook
                        2.2.5. Regional outlook
                    2.3. Competitive Insights
Chapter 3. Artificial Intelligence (AI) in Healthcare Market Variables, Trends & Scope
                    3.1. Market Lineage Outlook
                        3.1.1. Parent market outlook
                        3.1.2. Related/ancillary market outlook
                    3.2. Market Dynamics
                        3.2.1. Market driver analysis
                        3.2.2. Market restraint analysis
                        3.2.3. Market opportunity analysis
                        3.2.4. Market challenges analysis
                    3.3. Case Studies: Real-World Implementation Success Stories of AI-Driven Healthcare
                    3.4. AI in Healthcare Market Analysis Tools
                        3.4.1. Industry Analysis - Porter’s
                            3.4.1.1. Supplier power
                            3.4.1.2. Buyer power
                            3.4.1.3. Substitution threat
                            3.4.1.4. Threat of new entrant
                            3.4.1.5. Competitive rivalry
                        3.4.2. PESTEL Analysis
                            3.4.2.1. Political landscape
                            3.4.2.2. Technological landscape
                            3.4.2.3. Economic landscape
                            3.4.2.4. Environmental Landscape
                            3.4.2.5. Legal Landscape
                            3.4.2.6. Social Landscape
                    3.5. Industry Analysis - COVID-19 impact
                    3.6. Case Studies
Chapter 4. Artificial Intelligence (AI) in Healthcare Market: Component Estimates & Trend Analysis
                    4.1. Definitions and Scope
                    4.2. Segment Dashboard
                    4.3. AI in Healthcare Market Movement Analysis
                    4.4. AI in Healthcare Market Size & Trend Analysis, by Component, 2018 to 2030 (USD Million)
                        4.4.1. Software Solutions
                            4.4.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.1.1.1. AI platform
                                    4.4.1.1.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.1.1.1.2. Application Program Interface (API)
                                    4.4.1.1.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.1.1.1.3. Machine Learning Framework
                                    4.4.1.1.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                            4.4.1.1.2. AI Solutions
                                4.4.1.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.1.1.2.2. On premise
                                    4.4.1.1.2.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.1.1.2.3. Cloud based
                                    4.4.1.1.2.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.2. Hardware
                            4.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.2.1.1. Processor
                                    4.4.2.1.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.1.2. MPU (memory protection unit)
                                        4.4.2.1.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.1.3. FPGA (Field-programmable gate array)
                                        4.4.2.1.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.1.4. GPU (Graphics processing unit)
                                        4.4.2.1.1.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.1.5. ASIC (Application-specific integrated circuit)
                                        4.4.2.1.1.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.2.1.2. Memory
                                    4.4.2.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.2.1.3. Network
                                    4.4.2.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.3.2. Adapter
                                        4.4.2.1.3.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.3.3. Interconnect
                                        4.4.2.1.3.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                    4.4.2.1.3.4. Switch
                                        4.4.2.1.3.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.3. Services
                            4.4.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.3.1.1. Deployment & Integration
                                    4.4.3.1.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.3.1.2. Support & Maintenance
                                    4.4.3.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                4.4.3.1.3. Others (Consulting, Compliance management etc.)
                                    4.4.3.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.4. Distributed Denial of Service (DDoS) Mitigation
                            4.4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.5. Security Information and Event Management
                            4.4.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.6. Intrusion Detection System (IDS)/Intrusion Prevention System (IPS)
                            4.4.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        4.4.7. Others
                            4.4.7.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 5. Artificial Intelligence (AI) in Healthcare Market: Application Estimates & Trend Analysis
                    5.1. Definitions and Scope
                    5.2. Segment Dashboard
                    5.3. AI in Healthcare Market Movement Analysis
                    5.4. AI in Healthcare Market Size & Trend Analyses, by Application, 2018 to 2030 (USD Million)
                        5.4.1. Robot Assisted Surgery
                            5.4.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.2. Virtual Assistants
                            5.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.3. Administrative Workflow Assistants
                            5.4.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.4. Connected Medical Devices
                            5.4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.5. Medical Imagining & Diagnosis
                            5.4.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.6. Clinical Trials
                            5.4.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.7. Fraud Detection
                            5.4.7.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.8. Cybersecurity
                            5.4.8.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.9. Dosage Error Reduction
                            5.4.9.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.10. Precision medicine
                            5.4.10.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.11. Drug discovery & development
                            5.4.11.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.12. Lifestyle management & remote patient monitoring
                            5.4.12.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.13. Wearables
                            5.4.13.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        5.4.14. Others
                            5.4.14.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 6. Artificial Intelligence (AI) in Healthcare Market: Technology Estimates & Trend Analysis
                    6.1. Definitions and Scope
                    6.2. Segment Dashboard
                    6.3. AI in Healthcare Market Movement Analysis
                    6.4. AI in Healthcare Market Size & Trend Analyses, by Technology, 2018 to 2030 (USD Million)
                        6.4.1. Machine Learning
                            6.4.1.1. Market estimates and forecast 2018 to 2030 (USD million)
                                6.4.1.1.1. Deep learning
                                    6.4.1.1.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.1.1.2. Supervised
                                    6.4.1.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.1.1.3. Unsupervised
                                    6.4.1.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.1.1.4. Others (Reinforcement learning, Semi supervised)
                                    6.4.1.1.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        6.4.2. NLP
                            6.4.2.1. Market estimates and forecast 2018 to 2030 (USD million)
                                6.4.2.1.1. Smart Assistance
                                    6.4.2.1.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.2.1.2. OCR (Optical Character Recognition)
                                    6.4.2.1.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.2.1.3. Auto Coding
                                    6.4.2.1.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.2.1.4. Text analytics
                                    6.4.2.1.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.2.1.5. Speech analytics
                                    6.4.2.1.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
                                6.4.2.1.6. Classification and categorization
                                    6.4.2.1.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        6.4.3. Computer Vision
                            6.4.3.1. Market estimates and forecast 2018 to 2030 (USD million)
                        6.4.4. Context-aware computing
                            6.4.4.1. Market estimates and forecast 2018 to 2030 (USD million)
Chapter 7. Artificial Intelligence (AI) in Healthcare Market: End Use Estimates & Trend Analysis
                    7.1. Definitions and Scope
                    7.2. Segment Dashboard
                    7.3. AI in Healthcare Market Movement Analysis
                    7.4. AI in Healthcare Market Size & Trend Analyses, By End Use, 2018 to 2030 (USD Million)
                        7.4.1. Healthcare providers (hospitals, outpatient facilities, and others)
                            7.4.1.1. Market estimates and forecast 2018 to 2030 (USD million)
                        7.4.2. Healthcare payers
                            7.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        7.4.3. Healthcare Companies
                            7.4.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        7.4.4. Patients
                            7.4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
                        7.4.5. Others
                            7.4.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 8. Artificial Intelligence (AI) in Healthcare Market: Regional Estimates & Trend Analysis by Component, Applications, Technology & End Use
                    8.1. Regional Market Dashboard
                    8.2. Global Regional Market Snapshot
                    8.3. Market Size, & Forecasts Trend Analysis, 2018 to 2030
                    8.4. North America
                        8.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
                        8.4.2. U.S.
                            8.4.2.1. U.S. market estimates and forecast, 2018 - 2030 (USD Million)
                        8.4.3. Canada
                            8.4.3.1. Canada market estimates and forecast, 2018 - 2030 (USD Million)
                    8.5. Europe
                        8.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
                        8.5.2. UK
                            8.5.2.1. UK market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.3. Germany
                            8.5.3.1. Germany market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.4. France
                            8.5.4.1. France market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.5. Italy
                            8.5.5.1. Italy market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.6. Spain
                            8.5.6.1. Spain market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.7. Sweden
                            8.5.7.1. Sweden market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.8. Denmark
                            8.5.8.1. Denmark market estimates and forecast, 2018 - 2030 (USD Million)
                        8.5.9. Norway
                            8.5.9.1. Norway market estimates and forecast, 2018 - 2030 (USD Million)
                    8.6. Asia Pacific
                        8.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)
                        8.6.2. Japan
                            8.6.2.1. Japan market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.3. China
                            8.6.3.1. China market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.4. India
                            8.6.4.1. India market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.5. Singapore
                            8.6.5.1. Singapore market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.6. Australia
                            8.6.6.1. Australia market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.7. South Korea
                            8.6.7.1. South Korea market estimates and forecast, 2018 - 2030 (USD Million)
                        8.6.8. Thailand
                            8.6.8.1. Thailand market estimates and forecast, 2018 - 2030 (USD Million)
                    8.7. Latin America
                        8.7.1. Market estimates and forecasts 2018 to 2030 (USD Million)
                        8.7.2. Brazil
                            8.7.2.1. Brazil market estimates and forecast, 2018 - 2030 (USD Million)
                        8.7.3. Mexico
                            8.7.3.1. Mexico market estimates and forecast, 2018 - 2030 (USD Million)
                        8.7.4. Argentina
                            8.7.4.1. Argentina market estimates and forecast, 2018 - 2030 (USD Million)
                    8.8. MEA
                        8.8.1. Market estimates and forecasts 2018 to 2030 (USD Million)
                        8.8.2. South Africa
                            8.8.2.1. South Africa market estimates and forecast, 2018 - 2030 (USD Million)
                        8.8.3. Saudi Arabia
                            8.8.3.1. Saudi Arabia market estimates and forecast, 2018 - 2030 (USD Million)
                        8.8.4. UAE
                            8.8.4.1. UAE market estimates and forecast, 2018 - 2030 (USD Million)
                        8.8.5. Kuwait
                            8.8.5.1. UAE market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 9. Competitive Landscape
                    9.1. Recent Developments & Impact Analysis, By Key Market Participants
                    9.2. Company/Competition Categorization
                        9.2.1. Key Innovators
                        9.2.2. Market Leaders
                        9.2.3. Emerging Players
                    9.3. Vendor Landscape
                        9.3.1. Key company market share analysis, 2024
                        9.3.2. Microsoft
                            9.3.2.1. Company overview
                            9.3.2.2. Financial performance
                            9.3.2.3. Product benchmarking
                            9.3.2.4. Strategic initiatives
                        9.3.3. IBM
                            9.3.3.1. Company overview
                            9.3.3.2. Financial performance
                            9.3.3.3. Product benchmarking
                            9.3.3.4. Strategic initiatives
                        9.3.4. NVIDIA Corporation
                            9.3.4.1. Company overview
                            9.3.4.2. Financial performance
                            9.3.4.3. Product benchmarking
                            9.3.4.4. Strategic initiatives
                        9.3.5. Intel Corporation
                            9.3.5.1. Company overview
                            9.3.5.2. Financial performance
                            9.3.5.3. Product benchmarking
                            9.3.5.4. Strategic initiatives
                        9.3.6. Itrex Group
                            9.3.6.1. Company overview
                            9.3.6.2. Financial performance
                            9.3.6.3. Product benchmarking
                            9.3.6.4. Strategic initiatives
                        9.3.7. GE Healthcare
                            9.3.7.1. Company overview
                            9.3.7.2. Financial performance
                            9.3.7.3. Product benchmarking
                            9.3.7.4. Strategic initiatives
                        9.3.8. Medtronic
                            9.3.8.1. Company overview
                            9.3.8.2. Financial performance
                            9.3.8.3. Product benchmarking
                            9.3.8.4. Strategic initiatives
                        9.3.9. Oracle
                            9.3.9.1. Company overview
                            9.3.9.2. Financial performance
                            9.3.9.3. Product benchmarking
                            9.3.9.4. Strategic initiatives
                        9.3.10. Medidata
                            9.3.10.1. Company overview
                            9.3.10.2. Financial performance
                            9.3.10.3. Product benchmarking
                            9.3.10.4. Strategic initiatives
                        9.3.11. Google
                            9.3.11.1. Company overview
                            9.3.11.2. Financial performance
                            9.3.11.3. Product benchmarking
                            9.3.11.4. Strategic initiatives
                        9.3.12. IQVIA
                            9.3.12.1. Company overview
                            9.3.12.2. Financial performance
                            9.3.12.3. Product benchmarking
                            9.3.12.4. Strategic initiatives


List of Tables

Table 1 List of Abbreviation
Table 2 North America AI in Healthcare Market, By region, 2018 - 2030 (USD Million)
Table 3 North America AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 4 North America AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 5 North America AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 6 North America AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 7 U.S. AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 8 U.S. AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 9 U.S. AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 10 U.S. AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 11 Canada AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 12 Canada AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 13 Canada AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 14 Canada AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 15 Europe AI in Healthcare Market, By region, 2018 - 2030 (USD Million)
Table 16 Europe AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 17 Europe AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 18 Europe AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 19 Europe AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 20 Germany AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 21 Germany AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 22 Germany AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 23 Germany AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 24 UK AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 25 UK AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 26 UK AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 27 UK AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 28 France AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 29 France AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 30 France AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 31 France AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 32 Italy AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 33 Italy AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 34 Italy AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 35 Italy AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 36 Spain AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 37 Spain AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 38 Spain AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 39 Spain AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 40 Sweden AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 41 Sweden AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 42 Sweden AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 43 Sweden AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 44 Denmark AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 45 Denmark AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 46 Denmark AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 47 Denmark AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 48 Norway AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 49 Norway AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 50 Norway AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 51 Norway AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 52 Russia AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 53 Russia AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 54 Russia AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 55 Russia AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 56 Asia Pacific AI in Healthcare Market, By region, 2018 - 2030 (USD Million)
Table 57 Asia Pacific AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 58 Asia Pacific AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 59 Asia Pacific AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 60 Asia Pacific AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 61 China AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 62 China AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 63 China AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 64 China AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 65 Japan AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 66 Japan AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 67 Japan AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 68 Japan AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 69 India AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 70 India AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 71 India AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 72 India AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 73 Singapore AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 74 Singapore AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 75 Singapore AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 76 Singapore AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 77 Australia AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 78 Australia AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 79 Australia AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 80 Australia AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 81 South Korea AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 82 South Korea AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 83 South Korea AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 84 South Korea AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 85 Thailand AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 86 Thailand AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 87 Thailand AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 88 Thailand AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 89 Latin America AI in Healthcare Market, By region, 2018 - 2030 (USD Million)
Table 90 Latin America AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 91 Latin America AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 92 Latin America AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 93 Latin America AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 94 Brazil AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 95 Brazil AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 96 Brazil AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 97 Brazil AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 98 Mexico AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 99 Mexico AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 100 Mexico AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 101 Mexico AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 102 Argentina AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 103 Argentina AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 104 Argentina AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 105 Argentina AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 106 MEA AI in Healthcare Market, By region, 2018 - 2030 (USD Million)
Table 107 MEA AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 108 MEA AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 109 MEA AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 110 MEA AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 111 South Africa AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 112 South Africa AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 113 South Africa AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 114 South Africa AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 115 Saudi Arabia AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 116 Saudi Arabia AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 117 Saudi Arabia AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 118 Saudi Arabia AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 119 UAE AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 120 UAE AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 121 UAE AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 122 UAE AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 123 Kuwait AI in Healthcare Market, By Components, 2018 - 2030 (USD Million)
Table 124 Kuwait AI in Healthcare Market, By Application, 2018 - 2030 (USD Million)
Table 125 Kuwait AI in Healthcare Market, By Technology, 2018 - 2030 (USD Million)
Table 126 Kuwait AI in Healthcare Market, By End Use, 2018 - 2030 (USD Million)
Table 127 List of other players
Table 128 Participant’s overview
Table 129 Financial performance
Table 130 Key companies undergoing expansions
Table 131 Key companies undergoing acquisitions
Table 132 Key companies undergoing collaborations
Table 133 Key companies launching new components/services
Table 134 Key companies undergoing partnerships
Table 135 Key companies undertaking other strategies


List of Figures

Fig. 1 Market research process
Fig. 2 Data triangulation techniques
Fig. 3 Primary research pattern
Fig. 4 Primary interviews
Fig. 5 Market research approaches
Fig. 6 Value-chain-based sizing & forecasting
Fig. 7 QFD modeling for market share assessment
Fig. 8 Market formulation & validation
Fig. 9 AI in Healthcare market: market outlook
Fig. 10 AI in Healthcare competitive insights
Fig. 11 Parent market outlook
Fig. 12 Related/ancillary market outlook
Fig. 13 Penetration and growth prospect mapping
Fig. 14 Industry value chain analysis
Fig. 15 AI in Healthcare market driver impact
Fig. 16 AI in Healthcare market restraint impact
Fig. 17 AI in Healthcare market strategic initiatives analysis
Fig. 18 AI in Healthcare market: Components movement analysis
Fig. 19 AI in Healthcare market: Components outlook and key takeaways
Fig. 20 Software Solutions market estimates and forecast, 2018 - 2030
Fig. 21 Hardware management estimates and forecast, 2018 - 2030
Fig. 22 Services estimates and forecast, 2018 - 2030
Fig. 23 AI in Healthcare market: Application movement analysis
Fig. 24 AI in Healthcare market: Application outlook and key takeaways
Fig. 25 Robot assisted surgery market estimates and forecast, 2018 - 2030
Fig. 26 Virtual assistants market estimates and forecast,2018 - 2030
Fig. 27 Administrative workflow assistants market estimates and forecast,2018 - 2030
Fig. 28 Connected medical devices market estimates and forecast,2018 - 2030
Fig. 29 Medical imaging & diagnostics market estimates and forecast,2018 - 2030
Fig. 30 Clinical trials market estimates and forecast,2018 - 2030
Fig. 31 Fraud detection market estimates and forecast,2018 - 2030
Fig. 32 Cybersecurity market estimates and forecast,2018 - 2030
Fig. 33 Dosage error reduction market estimates and forecast,2018 - 2030
Fig. 34 Precision medicine market estimates and forecast,2018 - 2030
Fig. 35 Drug discovery & developments market estimates and forecast,2018 - 2030
Fig. 36 Lifestyle management & remote patient monitoring market estimates and forecast,2018 - 2030
Fig. 37 Wearables market estimates and forecast,2018 - 2030
Fig. 38 Others market estimates and forecast,2018 - 2030
Fig. 39 AI in Healthcare market: End Use movement analysis
Fig. 40 AI in Healthcare market: End Use outlook and key takeaways
Fig. 41 Healthcare providers (hospitals, outpatient facilities, and others) market estimates and forecast, 2018 - 2030
Fig. 42 Healthcare payers market estimates and forecast,2018 - 2030
Fig. 43 Healthcare Companies market estimates and forecast, 2018 - 2030
Fig. 44 Patients market estimates and forecast, 2018 - 2030
Fig. 45 Others market estimates and forecast, 2018 - 2030
Fig. 46 AI in Healthcare market: Technology movement analysis
Fig. 47 AI in Healthcare market: Technology outlook and key takeaways
Fig. 48 Machine learning market estimates and forecast, 2018 - 2030
Fig. 49 NLP market estimates and forecast,2018 - 2030
Fig. 50 Context-aware computiing market estimates and forecast, 2018 - 2030
Fig. 51 Computer vision market estimates and forecast, 2018 - 2030
Fig. 52 Global AI in Healthcare market: regional movement analysis
Fig. 53 Global AI in Healthcare market: regional outlook and key takeaways
Fig. 54 Global AI in Healthcare market share and leading players
Fig. 55 North America, by country
Fig. 56 North America market estimates and forecast, 2018 - 2030
Fig. 57 U.S. market estimates and forecast, 2018 - 2030
Fig. 58 Canada market estimates and forecast, 2018 - 2030
Fig. 59 Europe market estimates and forecast, 2018 - 2030
Fig. 60 UK market estimates and forecast, 2018 - 2030
Fig. 61 Germany market estimates and forecast, 2018 - 2030
Fig. 62 France market estimates and forecast, 2018 - 2030
Fig. 63 Italy market estimates and forecast, 2018 - 2030
Fig. 64 Spain market estimates and forecast, 2018 - 2030
Fig. 65 Sweden market estimates and forecast, 2018 - 2030
Fig. 66 Denmark market estimates and forecast, 2018 - 2030
Fig. 67 Norway market estimates and forecast, 2018 - 2030
Fig. 68 Russia market estimates and forecast, 2018 - 2030
Fig. 69 Asia Pacific market estimates and forecast, 2018 - 2030
Fig. 70 China market estimates and forecast, 2018 - 2030
Fig. 71 Japan market estimates and forecast, 2018 - 2030
Fig. 72 India market estimates and forecast, 2018 - 2030
Fig. 73 Australia market estimates and forecast, 2018 - 2030
Fig. 74 South Korea market estimates and forecast, 2018 - 2030
Fig. 75 Singapore market estimates and forecast, 2018 - 2030
Fig. 76 Thailand market estimates and forecast, 2018 - 2030
Fig. 77 Latin America market estimates and forecast, 2018 - 2030
Fig. 78 Brazil market estimates and forecast, 2018 - 2030
Fig. 79 Mexico market estimates and forecast, 2018 - 2030
Fig. 80 Argentina market estimates and forecast, 2018 - 2030
Fig. 81 Middle East and Africa market estimates and forecast, 2018 - 2030
Fig. 82 South Africa market estimates and forecast, 2018 - 2030
Fig. 83 Saudi Arabia market estimates and forecast, 2018 - 2030
Fig. 84 UAE market estimates and forecast, 2018 - 2030
Fig. 85 Kuwait market estimates and forecast, 2018 - 2030
Fig. 86 Market share of key market players- AI in Healthcare market

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Market Segmentation

  • Artificial Intelligence (AI) in Healthcare Component Outlook (Revenue, USD Million, 2018 - 2030)
    • Hardware
      • Processor
        • MPU (memory protection unit)
        • FPGA (Field-programmable gate array)
        • GPU (Graphics processing unit)
        • ASIC (Application-specific integrated circuit)
      • Memory
      • Network
        • Adapter
        • Interconnect
        • Switch
    • Software Solutions
      • AI platform
        • Application Program Interface (API)
        • Machine Learning Framework
      • AI Solutions
        • On premise
        • Cloud based
    • Services
      • Deployment & Integration
      • Support & Maintenance
      • Others (Consulting, Compliance management etc.)
  • Artificial Intelligence (AI) in Healthcare Application Outlook (Revenue, USD Million, 2018 - 2030)
    • Robot Assisted Surgery
    • Virtual Assistants
    • Administrative Workflow Assistants
    • Connected Medical devices
    • Medical Imaging & Diagnostics
    • Clinical Trials
    • Fraud Detection
    • Cybersecurity
    • Dosage Error Reduction
    • Precision medicine
    • Drug discovery & development
    • Lifestyle management & remote patient monitoring
    • Wearables
    • Others (Patient engagement, etc.)
  • Artificial Intelligence (AI) in Healthcare Technology Outlook (Revenue, USD Million, 2018 - 2030)
    • Machine Learning
      • Deep learning
      • Supervised
      • Unsupervised
      • Others (Reinforcement learning, Semi supervised)
    • Natural Language Processing
      • Smart Assistance
      • OCR (Optical Character Recognition)
      • Auto Coding
      • Text analytics
      • Speech analytics
      • Classification and categorization
    • Context-Aware Computing'
    • Computer Vision
  • Artificial Intelligence (AI) in Healthcare End Use Outlook (Revenue, USD Million, 2018 - 2030)
    • Healthcare providers (hospitals, outpatient facilities, and others)
    • Healthcare payers
    • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
    • Patients
    • Others
  • Artificial Intelligence (AI) in Healthcare Regional Outlook (Revenue, USD Million, 2018 - 2030)
    • North America
      • North America AI in Healthcare Market, by Component
        • Hardware
          • Processor
            • MPU (memory protection unit)
            • FPGA (Field-programmable gate array)
            • GPU (Graphics processing unit)
            • ASIC (Application-specific integrated circuit)
          • Memory
          • Network
            • Adapter
            • Interconnect
            • Switch
        • Software Solutions
          • AI platform
            • Application Program Interface (API)
            • Machine Learning Framework
          • AI Solutions
            • On premise
            • Cloud based
        • Services
          • Deployment & Integration
          • Support & Maintenance
          • Others (Consulting, Compliance management etc.)
      • North America Artificial Intelligence (AI) in Healthcare Market, by Application
        • Robot Assisted Surgery
        • Virtual Assistants
        • Administrative Workflow Assistants
        • Connected Medical devices
        • Medical Imaging & Diagnostics
        • Clinical Trials
        • Fraud Detection
        • Cybersecurity
        • Dosage Error Reduction
        • Precision medicine
        • Drug discovery & development
        • Lifestyle management & remote patient monitoring
        • Wearables
        • Others (Patient engagement, etc.)
      • North America Artificial Intelligence (AI) in Healthcare Market, by Technology
        • Machine Learning
          • Deep learning
          • Supervised
          • Unsupervised
          • Others (Reinforcement learning, Semi supervised)
        • Natural Language Processing
          • Smart Assistance
          • OCR (Optical Character Recognition)
          • Auto Coding
          • Text analytics
          • Speech analytics
          • Classification and categorization
        • Context-Aware Computing'
        • Computer Vision
      • North America Artificial Intelligence (AI) in Healthcare Market, by End Use
        • Healthcare providers (hospitals, outpatient facilities, and others)
        • Healthcare payers
        • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
        • Patients
        • Others
      • U.S.
        • U.S. AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • U.S. Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • U.S. Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • U.S. Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Canada
        • Canada AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Canada Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Canada Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Canada Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
    • Europe
      • Europe AI in Healthcare Market, by Component
        • Hardware
          • Processor
            • MPU (memory protection unit)
            • FPGA (Field-programmable gate array)
            • GPU (Graphics processing unit)
            • ASIC (Application-specific integrated circuit)
          • Memory
          • Network
            • Adapter
            • Interconnect
            • Switch
        • Software Solutions
          • AI platform
            • Application Program Interface (API)
            • Machine Learning Framework
          • AI Solutions
            • On premise
            • Cloud based
        • Services
          • Deployment & Integration
          • Support & Maintenance
          • Others (Consulting, Compliance management etc.)
      • Europe Artificial Intelligence (AI) in Healthcare Market, by Application
        • Robot Assisted Surgery
        • Virtual Assistants
        • Administrative Workflow Assistants
        • Connected Medical devices
        • Medical Imaging & Diagnostics
        • Clinical Trials
        • Fraud Detection
        • Cybersecurity
        • Dosage Error Reduction
        • Precision medicine
        • Drug discovery & development
        • Lifestyle management & remote patient monitoring
        • Wearables
        • Others (Patient engagement, etc.)
      • Europe Artificial Intelligence (AI) in Healthcare Market, by Technology
        • Machine Learning
          • Deep learning
          • Supervised
          • Unsupervised
          • Others (Reinforcement learning, Semi supervised)
        • Natural Language Processing
          • Smart Assistance
          • OCR (Optical Character Recognition)
          • Auto Coding
          • Text analytics
          • Speech analytics
          • Classification and categorization
        • Context-Aware Computing'
        • Computer Vision
      • Europe Artificial Intelligence (AI) in Healthcare Market, by End Use
        • Healthcare providers (hospitals, outpatient facilities, and others)
        • Healthcare payers
        • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
        • Patients
        • Others
      • UK
        • UK AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • UK Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • UK Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • UK Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Germany
        • Germany AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Germany Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Germany Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Germany Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • France
        • France AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • France Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • France Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • France Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Italy
        • Italy AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Italy Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Italy Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Italy Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Spain
        • Spain AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Spain Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Spain Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Spain Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Sweden
        • Sweden AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Sweden Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Sweden Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Sweden Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Denmark
        • Denmark AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Denmark Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Denmark Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Denmark Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Norway
        • Norway AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Norway Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Norway Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Norway Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Russia
        • Russia AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Russia Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Russia Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Russia Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
    • Asia Pacific
      • Asia Pacific AI in Healthcare Market, by Component
        • Hardware
          • Processor
            • MPU (memory protection unit)
            • FPGA (Field-programmable gate array)
            • GPU (Graphics processing unit)
            • ASIC (Application-specific integrated circuit)
          • Memory
          • Network
            • Adapter
            • Interconnect
            • Switch
        • Software Solutions
          • AI platform
            • Application Program Interface (API)
            • Machine Learning Framework
          • AI Solutions
            • On premise
            • Cloud based
        • Services
          • Deployment & Integration
          • Support & Maintenance
          • Others (Consulting, Compliance management etc.)
      • Asia Pacific Artificial Intelligence (AI) in Healthcare Market, by Application
        • Robot Assisted Surgery
        • Virtual Assistants
        • Administrative Workflow Assistants
        • Connected Medical devices
        • Medical Imaging & Diagnostics
        • Clinical Trials
        • Fraud Detection
        • Cybersecurity
        • Dosage Error Reduction
        • Precision medicine
        • Drug discovery & development
        • Lifestyle management & remote patient monitoring
        • Wearables
        • Others (Patient engagement, etc.)
      • Asia Pacific Artificial Intelligence (AI) in Healthcare Market, by Technology
        • Machine Learning
          • Deep learning
          • Supervised
          • Unsupervised
          • Others (Reinforcement learning, Semi supervised)
        • Natural Language Processing
          • Smart Assistance
          • OCR (Optical Character Recognition)
          • Auto Coding
          • Text analytics
          • Speech analytics
          • Classification and categorization
        • Context-Aware Computing'
        • Computer Vision
      • Asia Pacific Artificial Intelligence (AI) in Healthcare Market, by End Use
        • Healthcare providers (hospitals, outpatient facilities, and others)
        • Healthcare payers
        • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
        • Patients
        • Others
      • China
        • China AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • China Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • China Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • China Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • India
        • India AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • India Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • India Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • India Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Japan
        • Japan AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Japan Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Japan Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Japan Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Australia
        • Australia AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Australia Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Australia Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Australia Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Singapore
        • Singapore AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Singapore Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Singapore Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Singapore Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • South Korea
        • South Korea AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • South Korea Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • South Korea Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • South Korea Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Thailand
        • Thailand AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Thailand Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Thailand Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Thailand Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
    • Latin America
      • Latin America AI in Healthcare Market, by Component
        • Hardware
          • Processor
            • MPU (memory protection unit)
            • FPGA (Field-programmable gate array)
            • GPU (Graphics processing unit)
            • ASIC (Application-specific integrated circuit)
          • Memory
          • Network
            • Adapter
            • Interconnect
            • Switch
        • Software Solutions
          • AI platform
            • Application Program Interface (API)
            • Machine Learning Framework
          • AI Solutions
            • On premise
            • Cloud based
        • Services
          • Deployment & Integration
          • Support & Maintenance
          • Others (Consulting, Compliance management etc.)
      • Latin America Artificial Intelligence (AI) in Healthcare Market, by Application
        • Robot Assisted Surgery
        • Virtual Assistants
        • Administrative Workflow Assistants
        • Connected Medical devices
        • Medical Imaging & Diagnostics
        • Clinical Trials
        • Fraud Detection
        • Cybersecurity
        • Dosage Error Reduction
        • Precision medicine
        • Drug discovery & development
        • Lifestyle management & remote patient monitoring
        • Wearables
        • Others (Patient engagement, etc.)
      • Latin America Artificial Intelligence (AI) in Healthcare Market, by Technology
        • Machine Learning
          • Deep learning
          • Supervised
          • Unsupervised
          • Others (Reinforcement learning, Semi supervised)
        • Natural Language Processing
          • Smart Assistance
          • OCR (Optical Character Recognition)
          • Auto Coding
          • Text analytics
          • Speech analytics
          • Classification and categorization
        • Context-Aware Computing'
        • Computer Vision
      • Latin America Artificial Intelligence (AI) in Healthcare Market, by End Use
        • Healthcare providers (hospitals, outpatient facilities, and others)
        • Healthcare payers
        • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
        • Patients
        • Others
      • Brazil
        • Brazil AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Brazil Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Brazil Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Brazil Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Mexico
        • Mexico AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Mexico Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Mexico Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Mexico Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Argentina
        • Argentina AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Argentina Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Argentina Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Argentina Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
    • MEA
      • MEA AI in Healthcare Market, by Component
        • Hardware
          • Processor
            • MPU (memory protection unit)
            • FPGA (Field-programmable gate array)
            • GPU (Graphics processing unit)
            • ASIC (Application-specific integrated circuit)
          • Memory
          • Network
            • Adapter
            • Interconnect
            • Switch
        • Software Solutions
          • AI platform
            • Application Program Interface (API)
            • Machine Learning Framework
          • AI Solutions
            • On premise
            • Cloud based
        • Services
          • Deployment & Integration
          • Support & Maintenance
          • Others (Consulting, Compliance management etc.)
      • MEA Artificial Intelligence (AI) in Healthcare Market, by Application
        • Robot Assisted Surgery
        • Virtual Assistants
        • Administrative Workflow Assistants
        • Connected Medical devices
        • Medical Imaging & Diagnostics
        • Clinical Trials
        • Fraud Detection
        • Cybersecurity
        • Dosage Error Reduction
        • Precision medicine
        • Drug discovery & development
        • Lifestyle management & remote patient monitoring
        • Wearables
        • Others (Patient engagement, etc.)
      • MEA Artificial Intelligence (AI) in Healthcare Market, by Technology
        • Machine Learning
          • Deep learning
          • Supervised
          • Unsupervised
          • Others (Reinforcement learning, Semi supervised)
        • Natural Language Processing
          • Smart Assistance
          • OCR (Optical Character Recognition)
          • Auto Coding
          • Text analytics
          • Speech analytics
          • Classification and categorization
        • Context-Aware Computing'
        • Computer Vision
      • MEA Artificial Intelligence (AI) in Healthcare Market, by End Use
        • Healthcare providers (hospitals, outpatient facilities, and others)
        • Healthcare payers
        • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
        • Patients
        • Others
      • South Africa
        • South Africa AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • South Africa Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • South Africa Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • South Africa Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Saudi Arabia
        • Saudi Arabia AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Saudi Arabia Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Saudi Arabia Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Saudi Arabia Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • UAE
        • UAE AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • UAE Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • UAE Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • UAE Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others
      • Kuwait
        • Kuwait AI in Healthcare Market, by Component
          • Hardware
            • Processor
              • MPU (memory protection unit)
              • FPGA (Field-programmable gate array)
              • GPU (Graphics processing unit)
              • ASIC (Application-specific integrated circuit)
            • Memory
            • Network
              • Adapter
              • Interconnect
              • Switch
          • Software Solutions
            • AI platform
              • Application Program Interface (API)
              • Machine Learning Framework
            • AI Solutions
              • On premise
              • Cloud based
          • Services
            • Deployment & Integration
            • Support & Maintenance
            • Others (Consulting, Compliance management etc.)
        • Kuwait Artificial Intelligence (AI) in Healthcare Market, by Application
          • Robot Assisted Surgery
          • Virtual Assistants
          • Administrative Workflow Assistants
          • Connected Medical devices
          • Medical Imaging & Diagnostics
          • Clinical Trials
          • Fraud Detection
          • Cybersecurity
          • Dosage Error Reduction
          • Precision medicine
          • Drug discovery & development
          • Lifestyle management & remote patient monitoring
          • Wearables
          • Others (Patient engagement, etc.)
        • Kuwait Artificial Intelligence (AI) in Healthcare Market, by Technology
          • Machine Learning
            • Deep learning
            • Supervised
            • Unsupervised
            • Others (Reinforcement learning, Semi supervised)
          • Natural Language Processing
            • Smart Assistance
            • OCR (Optical Character Recognition)
            • Auto Coding
            • Text analytics
            • Speech analytics
            • Classification and categorization
          • Context-Aware Computing'
          • Computer Vision
        • Kuwait Artificial Intelligence (AI) in Healthcare Market, by End Use
          • Healthcare providers (hospitals, outpatient facilities, and others)
          • Healthcare payers
          • Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
          • Patients
          • Others

Report content

Qualitative Analysis

  • Industry overview
  • Industry trends
  • Market drivers and restraints
  • Market size
  • Growth prospects
  • Porter’s analysis
  • PESTEL analysis
  • Key market opportunities prioritized
  • Competitive landscape
    • Company overview
    • Financial performance
    • Product benchmarking
    • Latest strategic developments

Quantitative Analysis

  • Market size, estimates, and forecast from 2018 to 2030
  • Market estimates and forecast for product segments up to 2030
  • Regional market size and forecast for product segments up to 2030
  • Market estimates and forecast for application segments up to 2030
  • Regional market size and forecast for application segments up to 2030
  • Company financial performance
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Research Methodology

Grand View Research employs comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecast possible. The company utilizes a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. In Addition, a recurring theme prevalent across all our research reports is data triangulation that looks market from three different perspectives. Critical elements of methodology employed for all our studies include:

Preliminary data mining

Raw market data is obtained and collated on a broad front. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. For comprehensive understanding of the market, it is essential to understand the complete value chain and in order to facilitate this; we collect data from raw material suppliers, distributors as well as buyers.

Technical issues and trends are obtained from surveys, technical symposia and trade journals. Technical data is also gathered from intellectual property perspective, focusing on white space and freedom of movement. Industry dynamics with respect to drivers, restraints, pricing trends are also gathered. As a result, the material developed contains a wide range of original data that is then further cross-validated and authenticated with published sources.

Statistical model

Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development and pricing trends is fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression and time series analysis. Market forecasting is performed via a combination of economic tools, technological analysis, and industry experience and domain expertise.

Econometric models are generally used for short-term forecasting, while technological market models are used for long-term forecasting. These are based on an amalgamation of technology landscape, regulatory frameworks, economic outlook and business principles. A bottom-up approach to market estimation is preferred, with key regional markets analyzed as separate entities and integration of data to obtain global estimates. This is critical for a deep understanding of the industry as well as ensuring minimal errors. Some of the parameters considered for forecasting include:

    • Market drivers and restrains, along with their current and expected impact
    • Raw material scenario and supply v/s price trends
    • Regulatory scenario and expected developments
    • Current capacity and expected capacity additions up to 2030

We assign weights to these parameters and quantify their market impact using weighted average analysis, to derive an expected market growth rate.

Primary validation

This is the final step in estimating and forecasting for our reports. Exhaustive primary interviews are conducted, on face to face as well as over the phone to validate our findings and assumptions used to obtain them. Interviewees are approached from leading companies across the value chain including suppliers, technology providers, domain experts and buyers so as to ensure a holistic and unbiased picture of the market. These interviews are conducted across the globe, with language barriers overcome with the aid of local staff and interpreters. Primary interviews not only help in data validation, but also provide critical insights into the market, current business scenario and future expectations and enhance the quality of our reports. All our estimates and forecast are verified through exhaustive primary research with Key Industry Participants (KIPs) which typically include:

    • Market leading companies
    • Raw material suppliers
    • Product distributors
    • Buyers

The key objectives of primary research are as follows:

    • To validate our data in terms of accuracy and acceptability
    • To gain an insight in to the current market and future expectations

Data Collection Matrix

Perspective

Primary research

Secondary research

Supply side
  • Manufacturers
  • Technology distributors and wholesalers
  • Company reports and publications
  • Government publications
  • Independent investigations
  • Economic and demographic data

Demand side
  • End-user surveys
  • Consumer surveys
  • Mystery shopping
  • Case studies
  • Reference customers


Industry Analysis Matrix

Qualitative analysis

Quantitative analysis
  • Industry landscape and trends
  • Market dynamics and key issues
  • Technology landscape
  • Market opportunities
  • Porter’s analysis and PESTEL analysis
  • Competitive landscape and component benchmarking
  • Policy and regulatory scenario
  • Market revenue estimates and forecast up to 2030
  • Market revenue estimates and forecasts up to 2030, by technology
  • Market revenue estimates and forecasts up to 2030, by application
  • Market revenue estimates and forecasts up to 2030, by type
  • Market revenue estimates and forecasts up to 2030, by component
  • Regional market revenue forecasts, by technology
  • Regional market revenue forecasts, by application
  • Regional market revenue forecasts, by type
  • Regional market revenue forecasts, by component

 

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