The global artificial intelligence market size was valued at USD 279.22 billion in 2024 and is projected to grow at a CAGR of 35.9% from 2025 to 2030. The continuous research and innovation directed by tech giants are driving the adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing. For instance, in March 2025, EthicalWeb.Ai launched AI Vault, a generative AI-powered enterprise security SaaS solution for AWS customers. Built on the company's AI intellectual property, including three US patents, AI Vault enhances threat detection, response, and prevention with real-time data redaction. It is a key component of a scalable Gen AI marketplace enterprise offering.
AI has proven to be a significant revolutionary element of the upcoming digital era. Tech giants like Amazon.com, Inc., Google LLC, Apple Inc., Facebook, International Business Machines Corporation, and Microsoft are investing significantly in research and development of AI, thus increasing the artificial intelligence market cap. These companies are working to make AI more accessible for enterprise use cases. Moreover, various companies adopt AI technology to provide better customer experience and improve their presence in the artificial intelligence industry 4.0.
The essential fact accelerating the rate of innovation in AI is accessibility to historical datasets. Since data storage and recovery have become more economical, healthcare institutions and government agencies build unstructured data accessible to the research domain. Researchers are getting access to rich datasets, from historic rain trends to clinical imaging. The next-generation computing architectures, with access to rich datasets, are encouraging information scientists and researchers to innovate faster.
Furthermore, progress in profound learning and ANN (Artificial Neural Networks) has also fueled the adoption of AI in several industries, such as aerospace, healthcare, manufacturing, and automotive. ANN works in recognizing similar patterns and helps in providing modified solutions. Tech companies like Google Maps have been adopting ANN to improve their route and work on feedback received using ANN. ANN is substituting conventional machine learning systems to evolve precise and accurate versions. For instance, recent advancements in computer vision technology, such as GAN (Generative Adversarial Networks) and SSD (Single Shot MultiBox Detector), have led to digital image processing techniques. For instance, images and videos taken in low light, or low resolution, can be transformed into HD quality by employing these techniques. Continuous research in computer vision has built the foundation for digital image processing in security & surveillance, healthcare, and transportation, among other sectors. Such emerging methods in machine learning are anticipated to alter the manner AI versions are trained and deployed.
Software solutions led the market and accounted for 35.0% of the global revenue in 2024. This leading share can be attributed to prudent advances in information storage capacity, high computing power, and parallel processing capabilities to deliver high-end services. Furthermore, the ability to extract data, provide real-time insight, and aid decision-making has positioned this segment to capture a significant portion of the market. Artificial intelligence software solutions include libraries for designing and deploying artificial intelligence applications, such as primitives, linear algebra, inference, sparse matrices, video analytics, and multiple hardware communication capabilities. The need for enterprises to understand and analyze visual content to gain meaningful insights is expected to spur the adoption of artificial intelligence software over the forecast period.
The services segment is anticipated to exhibit the highest CAGR over the forecast period. This growth is driven by the increasing adoption of AI-driven consulting, integration, and support services as businesses seek to optimize AI implementation. Organizations require expert guidance to integrate AI solutions into existing infrastructures, leading to a surge in demand for managed and professional services. Additionally, continuous AI advancements necessitate regular updates, maintenance, and training, further boosting the services market. The expansion of AI-as-a-Service (AIaaS) offerings by cloud providers also contributes to the segment’s rapid growth, making AI more accessible to businesses of all sizes.
The operations segment accounted for around largest revenue share in 2024. The operations segment is the engine room of a business, encompassing all day-to-day activities that deliver products or services to customers. Implementation of AI can automate repetitive tasks, such as data entry and order processing, improving efficiency and reducing errors. Further, by using AI for predictive maintenance, process automation, and supply chain optimization, businesses can streamline workflows, reduce costs, and ensure the smooth delivery of their offerings.
The sales and marketing segment is projected to expand with the highest growth rate from 2025 to 2030. It leverages AI to transform how businesses attract and convert customers. AI can analyze vast amounts of customer data to identify high-potential leads, prioritize sales efforts, and personalize marketing campaigns. Chatbots powered by AI can answer customer inquiries, qualify leads, and even schedule appointments, freeing up sales reps for more complex interactions. Additionally, AI can personalize marketing messages and recommendations based on a customer's demographics, purchase history, and online behavior, leading to more targeted and effective marketing campaigns that drive sales.
The advertising & media segment led the market and accounted for the largest revenue share in 2024. This is attributable to growing AI marketing applications with significant traction. For instance, in October 2024, Amazon Ads launched AI Creative Studio and Audio Generator to simplify ad creation and enhance customer engagement. These tools help brands overcome creative challenges, streamline multi-format advertising, and personalize content. Advertisers can easily update creatives, generate trend-driven content, and tailor ads for different use cases. This improves the shopping experience and boosts campaign performance.
Artificial intelligence has witnessed a significant share in the BFSI sector due to high demand for risk & compliance applications along with regulatory and supervisory technologies (SupTech). By using AI-based insights in Suptech tools in financial markets, the authorities are increasingly examining FinTech-based apps used for regulatory, supervisory, and oversight purposes for any potential benefits. In a similar vein, regulated institutions are creating and implementing FinTech applications for reporting and regulatory and compliance obligations. Financial institutions are using AI applications for risk management and internal controls as well. The combination of AI technology with behavioral sciences enables large financial organizations to prevent wrongdoing, moving the emphasis from ex-post resolution to proactive prevention.
Other verticals for artificial intelligence systems include retail, law, automotive & transportation, agriculture, and others. Increasing government regulations play a crucial role in driving the growth of the automotive artificial intelligence market. Governments worldwide are becoming increasingly concerned about road safety and enacting strict safety measures. Additionally, conversational AI platform is also one of the most used artificial intelligence applications in every vertical. Retail segment is anticipated to witness a substantial rise owing to the increasing focus on providing an enhanced shopping experience. An increasing amount of digital data in text, sound, and images from different social media sources is driving the need for data mining and analytics. In the entertainment and advertising industry, AI has been creating a positive impact, and companies are using AI techniques to promote their products and connect to the customer base.
The deep learning segment led the market and accounted for largest revenue share in 2024 owing to the growing prominence of its complicated data-driven applications, including text/content or speech recognition. Deep learning offers lucrative investment opportunities as it helps overcome the challenges of high data volumes. Rising investments in research and development by leading players will also play a crucial role in increasing the uptake of artificial intelligence technologies.
The machine vision segment is anticipated to exhibit the highest CAGR over the forecast period. The machine vision industry has seen a rise in 3D imaging technologies, including stereo vision and structured lighting. For performing robotic tasks like path planning and navigation, 3D structured light technologies are preferred. Most established vendors, such as Keyence Corporation, have developed their structured light technology systems. The technology is also experiencing widespread adoption in industrial operations, significantly replacing manual inspection and measurement processes. The growing need for efficient and reliable inspection and measurement solutions drives this shift. Machine vision systems deploy smart cameras and image processing to perform measurements and inspections.
The North America AI market accounted for a revenue share of 29.5% in 2024. It is attributed to favorable government initiatives to encourage the adoption of artificial intelligence (AI) across various industries. Governments in North America are investing in AI research and development, establishing specialized research institutes and centers, and funding AI-related projects. They also utilize AI in many fields, such as enhancing public safety and transportation and promoting healthcare innovation.
The artificial intelligence industry in the U.S. is anticipated to exhibit a significant CAGR over the forecast period and has made remarkable progress in the field of AI and robotics. Regional companies and research institutions have been at the forefront of creating innovative robots that leverage AI to perform various tasks. In addition, the U.S. is actively developing social and companion robots capable of interacting with humans and offering assistance in diverse environments.
The Europe AI market is anticipated to witness a substantial CAGR from 2025 to 2030. The financial sector in the region is undergoing a significant transformation due to the growing adoption of AI technologies. AI is being integrated into different areas of finance, leading to revolutionary changes in traditional practices and improving customer experience.
The artificial intelligence industry in the Asia Pacific region is anticipated to register the highest CAGR over the forecast period. In the Asia-Pacific region, the financial industry is increasingly utilizing AI for tasks such as customer service, credit scoring, risk assessment, and fraud detection. AI-powered chatbots are becoming more common, enhancing customer interactions and providing more seamless banking experiences. As AI technology continues to evolve, the financial sector in Asia-Pacific is expected to explore more advanced applications, which will further transform how financial services are delivered and perceived.
Some key companies in the security and vulnerability management industry AiCure., Clarifai, Inc., and Enlitic, Inc.
AiCure is a company focused on developing clinically validated artificial intelligence technologies aimed at improving medication adherence and patient behavior. It offers a software-as-a-service (SaaS) model that includes motion-sensing and facial recognition technologies. AiCure is creating a mobile technology platform that integrates recent advancements in AI, such as machine learning, predictive analytics, deep learning, and computer vision. This platform uses AI on mobile devices to verify medication ingestion in high-risk populations and clinical trials.
Clarifai, Inc. is an artificial intelligence company specializing in visual recognition solutions and advanced image recognition systems. Its technology identifies objects, tags, and categories in images and searches for similar images, detecting visual search results and near duplicates. Clarifai, Inc. provides visual recognition and computer vision AI for enterprises and developers. Their products support various applications, including custom face recognition, demographic analysis, and content moderation.
Enlitic, Inc. provides artificial intelligence solutions for the healthcare industry. The company develops software that offers insights into treatment planning, early detection, and disease monitoring. Enlitic creates tools that help physicians use medical data effectively and also produces clinical decision-support solutions. The company collaborates with academic institutions, healthcare providers, and pharmaceutical companies to advance its AI technologies.
The following are the leading companies in the artificial intelligence market. These companies collectively hold the largest market share and dictate industry trends.
View a comprehensive list of companies in the Artificial Intelligence Market
In March 2025, ServiceNow launched a suite of AI-powered products to enhance enterprise workflow automation. The offerings include AI Agent Studio, a no-code tool for custom AI agent creation; AI Agent Orchestrator, a control tower for seamless AI agent coordination; and thousands of pre-built AI agents to optimize operations and reduce mean-time-to-resolution.
In March 2025, the Commonwealth Bank of Australia expanded its partnership and investment in Anthropic PBC to accelerate AI adoption. The collaboration aims to enhance customer experiences, support bank personnel, and provide Commonwealth Bank of Australia technologists with direct access to Anthropic PBC's AI expertise, advancing safe and responsible AI development.
In March 2025, NTT DATA Group Corporation and CrowdStrike, Inc. announced an expanded partnership to enhance NTT DATA Group Corporation's managed cybersecurity services using the AI-native CrowdStrike, Inc.'s Falcon platform. This collaboration combines NTT DATA Group Corporation's world-class managed services with Falcon's advanced cybersecurity capabilities, enabling clients to strengthen threat detection, response, and prevention, ensuring robust protection against breaches.
Report Attribute |
Details |
Market size value in 2025 |
USD 390.91 billion |
Revenue forecast in 2030 |
USD 1,811.75 billion |
Growth rate |
CAGR of 35.9% from 2025 to 2030 |
Actual data |
2017 - 2024 |
Forecast period |
2025 - 2030 |
Quantitative units |
Revenue in USD billion/million, and CAGR from 2025 to 2030 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments covered |
Solution, technology, end use, function, region |
Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
Country scope |
U.S.; Canada; Mexico; Germany; UK; France; China; India; Japan; Australia; South Korea; Brazil; UAE; South Africa; KSA |
Key companies profiled |
Advanced Micro Devices; AiCure; Arm Limited; Atomwise, Inc.; Ayasdi AI LLC; Baidu, Inc.; Clarifai, Inc; Cyrcadia Health; Enlitic, Inc.; Google LLC; H2O.ai.; HyperVerge, Inc.; International Business Machines Corporation; IBM Watson Health; Intel Corporation; Iris.ai AS.; Lifegraph; Microsoft; NVIDIA Corporation; Sensely, Inc.; Zebra Medical Vision, Inc. |
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 |
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global artificial intelligence market report based on solution, technology, function, end use, and region:
Solution Outlook (Revenue, USD Billion, 2017 - 2030)
Hardware
Accelerators
Processors
Memory
Network
Software
Services
Professional
Managed
Technology Outlook (Revenue, USD Billion, 2017 - 2030)
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Machine Vision
Generative AI
Function Outlook (Revenue, USD Billion, 2017 - 2030)
Cybersecurity
Finance and Accounting
Human Resource Management
Legal and Compliance
Operations
Sales and Marketing
Supply Chain Management
End-Use Outlook (Revenue, USD Billion, 2017 - 2030)
Healthcare
Robot Assisted Surgery
Virtual Nursing Assistants
Hospital Workflow Management
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Automated Image Diagnosis
BFSI
Risk Assessment
Financial Analysis/Research
Investment/Portfolio Management
Others
Law
Retail
Advertising & Media
Automotive & Transportation
Agriculture
Manufacturing
Others
Regional Outlook (Revenue, USD Billion, 2017 - 2030)
North America
U.S.
Canada
Europe
UK
Germany
France
Asia Pacific
China
Japan
India
South Korea
Australia
South America
Brazil
Mexico
Middle East and Africa (MEA)
KSA
UAE
South Africa
b. The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is expected to reach USD 279.22 billion in 2024.
b. The global artificial intelligence market is expected to grow at a compound annual growth rate of 36.6% from 2023 to 2030 to reach USD 1,811.75 billion by 2030.
b. North America dominated the AI market and accounted for over 30.9% share of global revenue in 2021 owing to favorable government initiatives to encourage the adoption of artificial intelligence (AI) across various industries.
b. Some key players operating in the AI market include Atomwise, Inc.; Lifegraph; Sense.ly, Inc.; Zebra Medical Vision, Inc.; Baidu, Inc.; H2O ai; IBM Watson Health; NVIDIA; Enlitic, Inc.; Google LLC; Intel Corporation; and Microsoft Corporation.
b. Key factors that are driving the artificial intelligence market growth include a rise in the adoption of big data, analytics, and the increasing potential of R&D in developing AI systems and technological innovations across the globe.
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