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Generative Artificial Intelligence (AI) In Robotics Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The generative artificial intelligence (AI) in robotics market has seen its size expand significantly in recent years. It is forecast to grow from $2.3 billion in 2025 to $3.2 billion in 2026, at a compound annual growth rate (CAGR) of 39.2%. This historical growth can be ascribed to elements like the increasing embrace of industrial automation, elevated investment in robotics R&D, an escalating demand for flexible manufacturing, the initial incorporation of AI into robotics control, and the creation of robotic simulation tools.
The market for generative artificial intelligence (AI) in robotics is projected to experience rapid expansion over the coming years. This market is anticipated to reach $11.9 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 38.9%. This anticipated growth during the forecast timeframe stems from various factors, including progress in generative AI algorithms, an increase in collaborative robots (cobots), the broadening scope of AI-powered logistics and warehouse automation, the uptake of context-aware robotics systems, and the incorporation of robotics with IoT and cloud platforms. Key trends foreseen for this period encompass the development of adaptive robot behaviors, the use of generative design for robotic parts, AI-guided optimization of robotic tasks, robot training through simulation, and context-aware decision-making by robots.
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Generative Artificial Intelligence (AI) In Robotics Market Growth Momentum: Which Factors Are Influencing Demand?
The escalating need for automation across industries is anticipated to stimulate the expansion of the generative artificial intelligence (AI) in robotics market. This demand for automation signifies a growing requirement for systems, technologies, and tools capable of executing tasks with minimal human involvement. Industries are implementing automation to address workforce deficits, boost operational effectiveness, enhance safety standards, reduce expenditures, and ensure uniform quality in their production workflows. Generative AI empowers robots to learn and adapt to various tasks and environments, making them indispensable components in automated processes, thereby aligning with the increasing need for intelligent automation solutions across sectors. For instance, in September 2025, according to the International Federation of Robotics, a Germany-based non-profit organization, the worldwide inventory of industrial robots reached 4,664,000 units in 2024, marking a 9% increase from the prior year. Consequently, the heightened demand for automation in industries significantly drives the generative artificial intelligence (AI) in robotics market.
Generative Artificial Intelligence (AI) In Robotics Market Segments: Where Are The Largest Growth Opportunities?
The generative artificial intelligence (AI) in robotics market covered in this report is segmented –
1) By Component: Software, Hardware
2) 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 Software
2) By Hardware: Robotic Arms, Sensors, Processors, Actuators, Embedded Systems, Robotic Platforms, Connectivity Devices
#Generative Artificial Intelligence (AI) In Robotics Market Trends Influencing Long-Term Demand
Major companies engaged in the generative artificial intelligence (AI) in robotics market are currently advancing AI technologies, specifically vision-language-action models, to bolster robots’ capacity to comprehend and engage with their environment by integrating visual and textual information. A vision-language-action model represents a multimodal AI architecture that unifies visual data and textual instructions, enabling robots to understand and carry out tasks by generating suitable actions based on both inputs. As an illustration, in July 2023, Google, a US-based entity focused on Internet-related services and products, launched the Robotics Transformer 2 (RT-2). RT-2 is a vision-language-action (VLA) model engineered to learn from vast web-scale data and robotics datasets to produce generalized instructions for robotic control, thereby empowering robots to execute complex tasks with enhanced reasoning, symbol understanding, and human recognition capabilities. RT-2 shows considerable improvement over its precursor, RT-1, achieving more than three times the success rate in emergent skill assessments, which points to its potential for more diverse and intelligent robotic applications. RT-2 also facilitates robots in generalizing beyond their initial training data, adapting to new objects, scenarios, and commands through the transfer of information from web-scale data and robotics training.
Generative Artificial Intelligence (AI) In Robotics Market Major Participants And Competitive Dynamics
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
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Generative Artificial Intelligence (AI) In Robotics Market Largest Region By Revenue And Market Share
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
