The generative artificial intelligence (AI) in robotics market size is expected to see exponential growth in the next few years. It will grow to $11.9 billion in 2030 at a compound annual growth rate (CAGR) of 38.9%. The growth in the forecast period can be attributed to advancements in generative AI algorithms, growth in collaborative robots (cobots), expansion of AI-enabled logistics and warehouse automation, adoption of context-aware robotics systems, integration of robotics with iot and cloud platforms. Major trends in the forecast period include adaptive robot behavior generation, generative design for robotic components, AI-driven robotic task optimization, simulation-based robot training, context-aware robotic decision making.
The increased demand for automation in industries is expected to support the growth of generative artificial intelligence (AI) in the robotics market. Demand for automation reflects the growing need for technologies that perform tasks with minimal human involvement. Industries are adopting automation to address labor shortages, improve operational efficiency, enhance workplace safety, reduce costs, and maintain consistent production quality. Generative AI allows robots to learn, adapt, and operate across diverse tasks and environments, making them essential components of modern automated systems aligned with the growing need for intelligent automation solutions. For example, in September 2025, according to the International Federation of Robotics, a Germany-based non-profit organization, the global stock of industrial robots reached 4,664,000 units in 2024, reflecting a 9% increase from the previous year. Therefore, the increasing demand for automation in industries is supporting the growth of generative artificial intelligence (AI) in the robotics market.
Leading companies operating in the generative artificial intelligence (AI) in robotics market are developing AI technologies such as vision-language-action models to improve robots’ ability to understand and interact with their environment by combining visual and textual inputs. A vision-language-action model is a multimodal framework that translates visual perception and language instructions into robotic actions. For example, in July 2023, Google, a US-based technology company, introduced Robotics Transformer 2 (RT-2), a vision-language-action model trained on web-scale and robotics datasets. RT-2 demonstrates significantly higher success rates in complex task execution and enables robots to generalize beyond their original training data.
In October 2023, Rockwell Automation, a US-based industrial automation and information company, acquired Clearpath Robotics for an undisclosed amount. Through this acquisition, Rockwell Automation aims to enhance its industrial automation and robotics capabilities, accelerate end-to-end autonomous production logistics solutions, and deliver safer and more efficient manufacturing environments for customers. Clearpath Robotics is a Canada-based company that develops autonomous mobile robots and enables AI-driven capabilities for research and industrial applications.
Major companies operating in the generative artificial intelligence (AI) in robotics market are Google LLC, Microsoft Corporation, Siemens AG, Intel Corporation, International Business Machines Corporation, ABB Ltd., NVIDIA Corporation, Intuitive Surgical Inc., KUKA AG, UiPath Inc., Zoox Inc., Nuro Inc., Boston Dynamics Inc., Locus Robotics Inc., UBTECH Robotics Corp., Velodyne Lidar Inc., Clearpath Robotics Inc., ANYbotics AG, Syntiant Corp., Misty Robotics Inc., Hanson Robotics Ltd., Thymio, PAL Robotics S.L.
North America was the largest region in the generative artificial intelligence (AI) in robotics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in robotics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in robotics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have affected the generative AI in robotics market by increasing the cost of importing high-performance processors, sensors, actuators, and robotic platforms. These tariffs have had a significant impact on hardware-intensive segments such as robotic arms and embedded systems, particularly in regions like North America, Europe, and Asia-Pacific, which rely on imported robotics components. While the tariffs have increased operational costs and slowed deployment in some industries, they have also encouraged local manufacturing and innovation, prompting companies to develop cost-efficient AI-driven robotic solutions and diversify their supply chains.
The generative artificial intelligence (AI) in robotics market research report is one of a series of new reports that provides generative artificial intelligence (AI) in robotics market statistics, including generative artificial intelligence (AI) in robotics industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in robotics market share, detailed generative artificial intelligence (AI) in robotics market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in robotics industry. This generative artificial intelligence (AI) in robotics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Generative artificial intelligence (AI) in robotics involves using advanced algorithms to develop innovative designs, control strategies, and adaptive behaviors for robots. This technology enables robots to perform complex tasks and interact with their environment in new and efficient ways. Generative AI allows robots to create new solutions or strategies for unfamiliar or complex tasks, enhancing their adaptability to dynamic environments.
The key components of generative AI in robotics include software and hardware. The software segment encompasses applications and platforms that enable robots to learn from data and generate outputs based on that learning. Technologies involved include machine learning, context awareness, computer vision, and natural language processing. Various industry sectors that benefit from this technology include manufacturing, pharmaceuticals, logistics and warehousing, retail, and others.
The generative artificial intelligence (AI) in robotics market consists of revenues earned by entities providing services such as autonomous navigation, task automation, advanced simulation, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in robotics market also includes sales of autonomous mobile robots, collaborative robots, robotic arms, and agricultural robots. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative Artificial Intelligence (AI) In Robotics Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence (AI) in robotics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence (AI) in robotics? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in robotics market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Hardware2) By Technology: Machine Learning; Context Awareness; Computer Vision; Natural Language Processing
3) By Industry Vertical: Manufacturing; Pharmaceutical; Logistics And Warehousing; Retail; Other Industry Verticals
Subsegments:
1) By Software: AI Algorithms for Robotics; Simulation and Modeling Software; Machine Learning Frameworks; Natural Language Processing (NLP) Software; Computer Vision Software; Robotics Operating Systems (ROS); Generative Design Software2) By Hardware: Robotic Arms; Sensors; Processors; Actuators; Embedded Systems; Robotic Platforms; Connectivity Devices
Companies Mentioned: Google LLC; Microsoft Corporation; Siemens AG; Intel Corporation; International Business Machines Corporation; ABB Ltd.; NVIDIA Corporation; Intuitive Surgical Inc.; KUKA AG; UiPath Inc.; Zoox Inc.; Nuro Inc.; Boston Dynamics Inc.; Locus Robotics Inc.; UBTECH Robotics Corp.; Velodyne Lidar Inc.; Clearpath Robotics Inc.; ANYbotics AG; Syntiant Corp.; Misty Robotics Inc.; Hanson Robotics Ltd.; Thymio; PAL Robotics S.L
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative AI in Robotics market report include:- Google LLC
- Microsoft Corporation
- Siemens AG
- Intel Corporation
- International Business Machines Corporation
- ABB Ltd.
- NVIDIA Corporation
- Intuitive Surgical Inc.
- KUKA AG
- UiPath Inc.
- Zoox Inc.
- Nuro Inc.
- Boston Dynamics Inc.
- Locus Robotics Inc.
- UBTECH Robotics Corp.
- Velodyne Lidar Inc.
- Clearpath Robotics Inc.
- ANYbotics AG
- Syntiant Corp.
- Misty Robotics Inc.
- Hanson Robotics Ltd.
- Thymio
- PAL Robotics S.L
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 3.2 Billion |
| Forecasted Market Value ( USD | $ 11.9 Billion |
| Compound Annual Growth Rate | 38.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 24 |


