Artificial Intelligence In Robotics Market Size, Share & Trends Analysis Report By Offering (Hardware, Software), By Deployment (On-Premise, Cloud), By Robots Type, By Technology, By End-use, By Region, And Segment Forecasts, 2024 - 2030

Market Size & Trends

The global artificial intelligence in robotics market size was estimated at USD 12.77 billion in 2023 and is projected to grow at a CAGR of 38.5% from 2024 to 2030. The growing complexity and customization requirements in manufacturing and logistics are driving the demand for AI-powered robotics solutions. Traditional industrial robots are often limited in their capabilities and require extensive programming and reconfiguration to adapt to changing production demands or product specifications.

On the other hand, AI-enabled robots offer greater flexibility, versatility, and agility due to their ability to learn from data, adapt to new tasks, and optimize performance in real-time. It enables manufacturers to automate a broader range of processes, customize production workflows, and respond rapidly to market fluctuations or customer demands, enhancing operational agility and competitive advantage in dynamic and fast-paced industries. According to ScienceDirect, an increase of 1.34 robots per 1000 workers (equivalent to one standard deviation) reduced workplace injuries by around 1.2 per worker.

The proliferation of data and connectivity in the digital age is fueling the growth of the market for AI in robotics. AI-powered robots leverage data from various sources, including sensors, IoT devices, cloud platforms, and enterprise systems, to make informed decisions, optimize processes, and generate actionable insights. Robots can analyze vast amounts of data in real-time by harnessing big data analytics, machine learning algorithms, and predictive modeling techniques, identify patterns, trends, and anomalies, and derive actionable insights to improve performance, optimize resource allocation, and drive continuous improvement. This data-driven approach enables companies to unlock new opportunities for innovation, efficiency, and value creation across the entire robotics ecosystem.

Moreover, the increasing integration of AI-powered robotics into smart infrastructure and urban development projects is driving the adoption of robotics solutions in city planning, transportation, and public services. As cities become more interconnected and data-driven, there is a growing need for robots to assist with traffic management, waste collection, public safety, and infrastructure maintenance. AI-enabled robots with sensors, cameras, and AI algorithms can analyze real-time data from smart sensors, traffic cameras, and other sources to optimize traffic flow, detect and respond to security threats, and manage critical infrastructure systems. By leveraging AI in robotics, cities can improve residents' efficiency, sustainability, and quality of life, creating smarter and more livable urban environments that are resilient to future challenges and disruptions.

Market Concentration & Characteristics

The market growth stage is high, and the pace is accelerating. The increasing need for remote operations and telepresence is fueling the adoption of AI-powered robotics solutions. The industry is concentrated, with several established players and new entrants competing for the highest market share. Technological advancements led to the development of sophisticated AI models capable of learning from large datasets and improving their performance through continuous feedback. By utilizing the capabilities of AI, robots analyze complex data, detect patterns, and make intelligent decisions in real-time, enabling them to operate more autonomously and efficiently.

Traditional rule-based programming is a product substitute for AI in robotics. In this approach, robots are programmed with a set of predefined rules and instructions to perform specific tasks. Unlike AI, which learns and adapts based on data, rule-based systems rely on predetermined logic and conditions. In addition, evolutionary algorithms and genetic programming offer alternatives using evolutionary principles to optimize robot behavior and design. However, these methods may require extensive computational resources and are typically less flexible than AI-based approaches.

Regulatory pressures and compliance requirements drive companies to adopt AI-powered robotics solutions to ensure adherence to industry standards, regulations, and quality control measures. In healthcare, pharmaceuticals, and food production sectors, stringent regulatory requirements govern product safety, quality assurance, and risk management. AI-enabled robots equipped with advanced sensing, monitoring, and traceability capabilities enable companies to track and document compliance with regulatory standards, automate audit processes, and ensure adherence to best practices and industry guidelines.

Offerings Insights

In terms of offering, the hardware segment held the largest market share of 60.1% in 2023. The hardware segment encompasses various physical components that enable robots to perceive, process information, and interact with their surroundings. They are analogous to the body of a living being. The hardware segment includes a wide range of sensors, such as cameras, cloud, ultrasonic sensors, and infrared sensors, which play a vital role in allowing robots to perceive their environment and make decisions based on collected data. In March 2023, ECOVACS, an international market leader in service robotics, launched its DEEBOT T10 OMNI robot vacuum to the US market, featuring AI and deep-clean solutions. The all-in-one cleaning assistant uses TrueMapping 2.0 technology, Cloud laser technology, and dToF sensors for precise movement. It also has AIVI 3.0 for navigating obstacles and can send alerts and communicate with users through a two-way audio system.

The software segment is anticipated to witness the fastest CAGR over the forecast period. The rise of collaborative robotics, where robots work alongside humans in shared workspaces, drives the demand for AI software, enabling seamless interaction and collaboration. AI algorithms would allow robots to understand natural language commands, recognize gestures, and interpret human intentions, facilitating safe and intuitive human-robot collaboration. This trend is particularly prevalent in manufacturing, healthcare, and logistics industries, where robots and humans collaborate on tasks requiring both physical and cognitive capabilities.

Deployment Insights

The on-premise segment held the largest revenue share in 2023. The on-premise deployment model offers advantages regarding data privacy, security, and compliance with regulatory requirements. By processing data locally on the robotic system, organizations maintain control over sensitive information and mitigate potential risks associated with transmitting data to external servers or cloud-based platforms. It is especially pertinent in industries such as healthcare and defense, where data confidentiality and security are of paramount concern.

The cloud segment is anticipated to witness a significant CAGR over the forecast period. The global proliferation of high-speed internet connectivity and 5G networks is driving the adoption of cloud-based AI in robotics. With faster and more reliable internet connections, robotic systems can access cloud-based AI resources in real-time, enabling seamless integration of cloud-based services into robotic workflows. This connectivity allows for remote monitoring, control, and management of robotic systems, facilitating collaboration and coordination across distributed environments and enabling new use cases such as teleoperation and remote maintenance.

Robots Type Insights

The service robots segment held the largest share in 2023. Increasing demand for automation and efficiency in service industries is driving the segment growth. Service robots with AI capabilities such as natural language processing, computer vision, and machine learning can perform various tasks autonomously, enhancing customer experiences, reducing operational costs, and improving service quality. These AI-powered robots can assist with customer service, patient care, cleaning, and delivery tasks, enabling organizations to streamline operations and focus on value-added activities.

The industrial robots segment is anticipated to witness the fastest CAGR over the forecast period. The convergence of AI and robotics enables the development of smart factories and Industry 4.0 initiatives. AI-powered industrial robots collaborate with other machines, sensors, and systems within the manufacturing environment, enabling seamless integration and communication across the production line. This connectivity and intelligence facilitate real-time monitoring, predictive maintenance, and optimization of manufacturing processes, leading to improved quality control, reduced downtime, and enhanced operational efficiency. According to the International Federation of Robotics, in 2022, industrial robot installations worldwide increased by 5% year over year, with 553,052 robots installed. The distribution by region shows that 73% of these new robots were deployed in Asia, 10% in the Americas, and 15% in Europe.

Technology Insights

The machine learning segment held the largest revenue share in 2023. The machine learning segment involves implementing algorithms and models that enable robots to acquire knowledge, make decisions, and improve performance through experience. With the help of machine learning algorithms, robots analyze data, identify patterns, and make decisions based on the information collected from their environment. According to the IBM Global AI Adoption Index 2022, advancement in AI, the need to reduce costs and automate critical processes, and an increasing amount of embedded AI are some of the most significant drivers for adopting AI and ML.

The edge computing segment is expected to grow at the fastest CAGR over the forecast period. The proliferation of Internet of Things (IoT) devices in robotics contributes to the adoption of edge computing. With sensors generating vast amounts of data, edge computing allows for distributed data processing and analysis closer to the point of data generation. It reduces the need to send large volumes of data to centralized servers for processing, alleviating bandwidth constraints and minimizing latency, which ensures efficient and timely robotic operations.

End-use Insights

The automotive segment held the largest revenue share in 2023. The increasing demand for autonomous vehicles and smart transportation solutions is driving the segment growth. AI-powered robots play a crucial role in enabling autonomous driving capabilities, including perception, decision-making, and navigation. Advanced AI algorithms allow vehicles to interpret sensor data, recognize objects and obstacles, and make real-time decisions to navigate safely and efficiently on roads, highways, and urban environments.

The healthcare segment is expected to grow at the fastest CAGR during the forecast period. The growing focus on telemedicine and remote healthcare delivery is driving the segment's growth. AI-powered robotics enable remote consultations, diagnostics, and treatments, bridging geographical barriers and improving access to healthcare services, particularly in rural and underserved areas. Robots equipped with telepresence capabilities facilitate virtual interactions between patients and healthcare providers, enabling real-time communication, examination, and consultation. AI algorithms also assist in diagnosis, treatment planning, and remote surgical procedures, enhancing the efficiency and effectiveness of telemedicine initiatives.

Regional Insights

The artificial intelligence (AI) in robotics market in North America is expected to witness the fastest CAGR during the forecast period. The increasing demand for personalized and on-demand services is driving the adoption of AI-powered robotics in the service industry. With the rise of e-commerce, food delivery, and ride-sharing platforms, robots need to provide efficient and reliable customer services in real-time. AI-powered robots are being deployed in retail, food service, and transportation sectors to automate tasks such as order fulfillment, delivery, and customer service. These robots leverage AI algorithms to understand customer preferences, optimize delivery routes, and provide personalized recommendations, enhancing the customer experience while reducing operational costs for businesses.

U.S. Artificial Intelligence In Robotics Market Trends

The U.S. artificial intelligence in the robotics market was dominant in North America. The strong industrial base and emphasis on automation and efficiency are driving the adoption of AI-powered robotics across various sectors, with a diverse economy spanning manufacturing, healthcare, logistics, agriculture, and defense. In manufacturing, AI-powered robots are deployed for assembly, welding, and quality control, enabling faster production cycles and higher precision. Robots assist with surgery, patient care, and laboratory automation in healthcare, improving patient outcomes and operational efficiency. In logistics, AI-powered robots optimize warehouse operations, order fulfillment, and last-mile delivery, enhancing supply chain efficiency and customer satisfaction. These applications of AI in robotics drive demand for innovative solutions and propel market growth in the U.S.

Asia Pacific Artificial Intelligence In Robotics Market Trends

Asia Pacific artificial intelligence in robotics market dominated the global market with a revenue share of 44.6% in 2023. Regulatory mandates and safety considerations are driving the adoption of AR technology. As safety regulations become increasingly stringent, automakers are turning to AR-based driver assistance systems to enhance situational awareness and reduce distractions for drivers.

The artificial intelligence in robotics market in China held a revenue share of 19.4% in the Asia Pacific region. China's rapid urbanization and infrastructure development are driving the adoption of AI-powered robotics in construction, logistics, and smart city initiatives. AI-enabled robots are deployed in construction projects to improve efficiency, safety, and precision, reducing construction time and costs while enhancing quality and sustainability. In smart city initiatives, AI-enabled robots are used for security surveillance, public transportation management, and environmental monitoring, contributing to developing more efficient, sustainable, and livable urban environments.

The India artificial intelligence in robotics market is expected to witness the fastest CAGR during the forecast period. Indian government's focus on promoting digital transformation and innovation through initiatives such as the National AI Strategy and the Digital India program is driving market growth. These initiatives aim to adopt the capabilities of AI and robotics to address societal challenges, drive economic growth, and improve the quality of life for citizens. The government's support for AI research, development, and adoption is creating an enabling environment for market growth in India, fostering collaboration between industry, academia, and government agencies to accelerate innovation and technology adoption.

Latin America Artificial Intelligence In Robotics Market Trends

The artificial intelligence in robotics market in Latin America is expected to witness significant growth during the forecast period. The increasing demand for automation and efficiency in logistics and transportation is driving the adoption of AI-powered robotics in Latin America's supply chain and logistics industry. With the growth of e-commerce, international trade, and urbanization, there is a growing need for technologies that streamline logistics operations, improve efficiency, and reduce costs. AI-enabled robots are being deployed in warehouses, distribution centers, and transportation hubs to automate sorting, picking, packing, and delivery tasks. These robots leverage AI algorithms to optimize routes, manage inventory, and coordinate real-time logistics operations, enabling faster order fulfillment, reduced shipping times, and lower transportation costs.

Key Artificial Intelligence In Robotics Company Insights

Some of the key players operating in the market include NVIDIA Corporation, SoftBank Robotics Group, HANSON ROBOTICS LTD., among others.

• ·NVIDIA Corporation is a U.S. technology company that offers graphics processing units (GPUs), artificial intelligence (AI), and semiconductor design. NVIDIA's AI technologies enable robots to autonomously perceive, navigate, and interact with their environments. By leveraging NVIDIA's GPUs and AI software frameworks such as CUDA and TensorFlow, robotics developers can train sophisticated AI models that power intelligent robotic systems. NVIDIA's AI platforms, such as the NVIDIA Jetson series, provide developers with powerful tools and libraries for building AI-powered robots and autonomous machines.

• ·SoftBank Robotics Group is a robotics company dedicated to creating advanced robots that enhance people's lives in various domains. The flagship product of SoftBank Robotics Group is Pepper, a humanoid robot designed to engage with people in social and commercial settings. Pepper has advanced sensors, cameras, and AI algorithms that enable it to perceive and respond to human emotions, gestures, and speech. With its friendly demeanor and intuitive interactions, Pepper has been deployed in various environments, including retail stores, banks, airports, and hospitality venues, where it serves as a greeter, concierge, and customer service assistant, enhancing the customer experience and driving engagement.

• Hanson Robotics Ltd is a robotics company developing humanoid robots with artificial intelligence (AI) capabilities. Hanson Robotics specializes in developing hardware and software components for humanoid robots, including advanced facial recognition systems, speech synthesis, and machine learning algorithms. The company's robots are designed to be versatile and adaptable, capable of performing various tasks in different environments, from customer service and entertainment to healthcare and education.

Recent Developments

• In April 2024, Wind River, a provider of software for critical, intelligent systems, announced that Yaskawa Electric Corporation, a manufacturer of industrial robots, is utilizing Wind River Linux in the development of their latest product, MOTOMAN NEXT. This advanced AI robot possesses autonomous adaptability to its environment and is equipped with sophisticated AI capabilities for decision-making. The robot excels in handling complex tasks in unpredictable environments, expanding automation into previously challenging areas that demanded human-level perception and judgment capabilities.

• In March 2024, NVIDIA launched Project GR00T, a specialized model aimed at enhancing its robotics and embodied AI endeavors. GR00T-equipped robots will possess the capability to comprehend human language and mimic human actions rapidly. This technology enables them to swiftly learn coordination, agility, and various other skills necessary for navigating, adapting to, and engaging with the physical environment.

• In March 2024, Franka Robotics launched the Franka AI Companion, a versatile tool for robotics researchers. This tool integrates with various hardware devices like cameras and software components like the NVIDIA Isaac Manipulator. The Franka AI Companion expands Franka Robotics' ecosystem of integrations, complementing existing tools. These integrations allow users to fully utilize the advanced data acquisition and real-time control features of Franka robots.

• In November 2023, Brain Corp, an AI company, partnered with Dane Technologies to develop retail inventory scanning solutions. These solutions will be built on Brain Corp's latest robotics platform, featuring a new modular architecture. This platform represents the next step in Brain Corp's BrainOS robotics platform, currently powering over 30,000 autonomous robots in commercial spaces. The partnership will capitalize on the strengths of both companies: Brain Corp's expertise in AI and autonomous technology and Dane Technologies' experience in manufacturing and deploying retail tech solutions.

• In July 2023, SoftBank Robotics Group Corp. (SBR) introduced Keenbot, an AI-powered tray delivery robot designed to streamline food service operations. Keenbot works alongside human staff to enhance efficiency and ensure consistent customer service. With versatile delivery modes, it can carry up to four dishes simultaneously, alleviating the burden on wait staff and allowing them to concentrate on other duties while still attending to patrons.

Artificial Intelligence In Robotics Market Report Scope

Global Artificial Intelligence In Robotics Market Report Segmentation

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 2018 to 2030. For this study, Grand View Research has segmented the global artificial intelligence in robotics market report based on offering, deployment, robots type, technology, end-use, and region.

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

  • Hardware

  • Software

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

  • On-Premise

  • Cloud

• Robots Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Industrial Robots

  • Service Robots

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

  • Machine Learning

  • Computer Vision

  • Natural Language Processing

  • Context Aware Computing

  • Edge Computing

  • Others

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

  • Automotive

  • Manufacturing

  • Transportation and Logistics

  • Healthcare

  • Retail

  • Aerospace

  • Military and Defense

  • Agriculture

  • Others

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

  • North America

    • U.S.

    • Canada

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • Netherlands

  • Asia Pacific

    • China

    • India

    • Japan

    • South Korea

    • Australia

  • Latin America

    • Brazil

    • Mexico

    • Argentina

  • Middle East and Africa (MEA)

    • UAE

    • Saudi Arabia

    • South Africa