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Generative Artificial Intelligence (AI) In Robotics Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The generative artificial intelligence (AI) in robotics market has experienced exponential growth in its size during recent years. It is forecast to increase from $2.3 billion in 2025 to $3.2 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 39.2%. This historical expansion can be attributed to several factors, including the rising adoption of industrial automation, increasing investment in robotics research and development, a growing demand for flexible manufacturing, the early integration of AI in robotics control, and the development 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 set to reach a value of $11.9 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 38.9%. This anticipated growth is driven by several factors, including developments in generative AI algorithms, an increase in collaborative robots (cobots), the broadening of AI-enabled logistics and warehouse automation, the uptake of context-aware robotics systems, and the incorporation of robotics with IoT and cloud platforms. Key trends expected during this period involve adaptive robot behavior generation, generative design for robotic components, AI-driven robotic task optimization, simulation-based robot training, and context-aware robotic decision making.
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Generative Artificial Intelligence (AI) In Robotics Market Development Factors: What’s Supporting Demand?
The rising need for automation across industries is anticipated to drive the growth of the generative artificial intelligence (AI) in robotics market. This demand for automation reflects the increasing desire for systems, technologies, and tools that can perform tasks with minimal human intervention. Industries are implementing automation to address labor shortages, improve operational efficiency, enhance safety, reduce costs, and ensure consistent quality in production processes. Generative AI enables robots to learn and adapt to diverse tasks and environments, establishing them as crucial components in automated processes and aligning with the expanding requirement for intelligent automation solutions across various sectors. For instance, in September 2025, the International Federation of Robotics, a Germany-based non-profit organization, reported that the global stock of industrial robots reached 4,664,000 units in 2024, marking a 9% increase from the previous year. Consequently, the escalating demand for automation in industries is a key driver for the generative artificial intelligence (AI) in robotics market.
Generative Artificial Intelligence (AI) In Robotics Market Segment Performance And Emerging 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 Transformation Trends: What Innovations Are Driving Change?
Major companies in the generative artificial intelligence (AI) in robotics market are actively developing AI technologies, such as vision-language-action models, to enhance robots’ capability to understand and interact with the world by integrating visual and textual information. A vision-language-action model is a multimodal AI framework designed to combine visual data and textual commands, allowing robots to comprehend and perform tasks by generating appropriate actions based on both inputs. For example, in July 2023, Google, a US-based company known for its internet-related services and products, unveiled the Robotics Transformer 2 (RT-2). RT-2 is a vision-language-action (VLA) model that leverages extensive web-scale data and robotics datasets to create generalized instructions for robotic control, thereby enabling robots to execute complex tasks with improved reasoning, symbol understanding, and human recognition capabilities. RT-2 shows significant advancement over its predecessor, RT-1, achieving more than three times the success rate in emergent skill evaluations, which signals its potential for more diverse and intelligent robotic applications. Furthermore, RT-2 allows robots to generalize beyond their initial training data and adapt to new objects, scenarios, and orders by transferring information from web-scale data and robotics training.
Generative Artificial Intelligence (AI) In Robotics Market Key Players: Which Companies Lead Industry Competition?
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 Regional Breakdown: Where Is Demand Concentrated?
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.
