
AI-Powered Industrial Robot Market
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The global AI-powered industrial robot market was estimated at USD 16.8 billion in 2025. The market is expected to grow from USD 17.9 billion in 2026 to USD 33.3 billion in 2035, at a CAGR of 7.1% according to latest report published by Global Market Insights Inc.
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Major demand for advanced AI-powered industrial robots comes mainly due to innovations in software-defined automation. This demand also increases, essentially due to a surge in strategic mergers and acquisitions among robotics leaders, hence the need to enhance operational throughput. Market consolidation among major players translates into enormous breakthroughs, expanded technology portfolios, and a more robust presence in the global manufacturing landscape. The basis of conventional fixed-automation solutions, such as basic hard-coded articulated arms or standard non-integrated sensors, is finding major replacement from high-performance AI-driven autonomous systems.
"Agentic AI" robots and generative-modeled systems represent a more data-driven method of production since they digitally and physically track motion metrics and environmental data in real time to optimize even the most complex cells in a very short period. The utilization of this advanced technology is in line with the industrial sector's drift toward personalized, high-mix manufacturing; hence, it's a huge contributor to market growth.
The growing demand for reshoring and smart factories in the North American region and the rise in labor and automation budgets in the European and Asia-Pacific markets are the major drivers that have led to the commercial feasibility of this equipment. Factory owners as well as systems engineers are ready to choose an efficient and technology-upgraded process for their productions.
Among the most important drivers for the market for high-performing industrial machinery is the application of multi-modal sensor fusion and AI-based modeled motion planning, which has gained popularity for its verified advantages such as faster cycle time and zero possibility of mechanical collision. However, it is a market that is largely driven by its dependence on the knowledge of the long-term beneficial role of digital twin integration and edge engineering, resulting in increased adoption of these powerful tools. Also, human robot interaction for safety and ease will be further improved by developments in tactile sensation and vibration-damping materials.
These combined factors are the reason behind the market's positive financial performance, in addition to increasing adoption rates, industrywide progression toward IT/OT convergence, and demand for performance of high efficiency. The gradual transformation of basic industrial tools into highly durable professional-grade autonomous machinery is vastly dependent on advancements in material science. The industry is now set to witness a significant changeover in favor of lightweight alloys, carbon composites, and high-resilience polymers that not only will increase the lifecycle of a product but improve the energy transfer across a wide range of payloads and environmental conditions.
The manufacturers are eager to improve the user experience by integrating features such as IoT-enabled diagnostics, which enable real-time health analytics, and variable control systems that allow better maneuverability on the factory floor. The largest factors driving the AI-powered robotics market include increased interest from Small and Medium Enterprises (SMEs), the proliferation of "dark warehouses" at a rapid pace, and, professionally, data-backed process improvement.
Its effectiveness has attracted both casual manufacturers who want quick returns on investments, as well as high-tech car manufacturing plants demanding utmost consistency. This adoption of the technology has had a significant effect on the composition found in the market, whereby the Articulated Robots and Software as a Service (SaaS) segment has been registering the highest revenue, contributing the most significant part of the entire equipment market share. A major part of this segment entails products whose accuracy lies directly in computational capability, long cycle, and high customization, thus making it a perfect fit for the flexible and quickly adaptable nature required in today’s industrial environment.
| Key Takeaway | Details |
|---|---|
| Market Size & Growth | |
| Base Year | 2025 |
| Market Size in 2025 | USD 16.8 Billion |
| Market Size in 2026 | USD 17.9 Billion |
| Forecast Period 2026-2035 CAGR | 7.1% |
| Market Size in 2035 | USD 33.3 Billion |
| Key Market Trends | |
| Drivers | Impact |
| Labor shortages & reshoring | Demographic declines in manufacturing hubs are driving a transition from manual labor to "Agentic AI" robots that require minimal human supervision. |
| Generative AI & LLM Integration | The move from "rule-based" to "intent-based" programming allows non-technical staff to control robots via natural language, lowering the barrier to entry. |
| Pitfalls & Challenges | Impact |
| High integration complexity | Retrofitting legacy factory floors with AI sensors and ensuring interoperability between different robot brands remains a significant technical hurdle. |
| Increasing risk for Data Privacy & Cybersecurity | As robots become IoT-enabled and cloud-connected, the risk of industrial espionage and cyber-attacks on production lines increases. |
| Opportunities: | Impact |
| Increasing demand of Robot-as-a-Service (RaaS) | Subscription-based models allow SMEs to deploy advanced AI robotics without the massive upfront capital expenditure (CapEx). |
| Humanoid General-Purpose Robots | Advancements in "Physical AI" (like Tesla’s Optimus or Figure AI) offer the potential for robots to perform multi-purpose tasks in human-centric environments. |
| Market Leaders (2025) | |
| Market Leader |
8% market share |
| Top Players |
Consolidate market share of 30% |
| Competitive Edge |
|
| Regional Insights | |
| Largest Market | North America |
| Fastest growing market | Asia Pacific |
| Emerging countries | China, Brazil, India |
| Future outlook |
|
The industrial robotics industry is during a paradigm shift, fuelled by the convergence of Information Technology and Operational Technology, as well as rapid advancement in Artificial Intelligence. Concretely, this market is being transformed by companies introducing next-generation autonomous systems capable of Agentic AI decision-making, 3D vision-language models, 5G-enabled edge computing, and tactile sensor integration, among other breakthrough technologies. In sum, these are targeted at changing manufacturers who need agile, "zero-code" solutions to manage high-mix, low-volume production. Their response to the trends within the industry is a commitment to further innovation that arms factories with state-of-the-art tools to increase productivity without "downtime penalties" and help bring about a self-correcting, resilient ecosystem in manufacturing.
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Based on the robot type, the market is divided into articulated robots, SCARA robots, delta robots, and others. The articulated robots segment held the largest share, accounting for 45% of the global AI-powered industrial robot market in 2025.
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Based on technology, the AI-powered industrial robot market is segmented into machine learning & deep learning, computer vision & imaging, Natural Language Processing (NLP), and others. In 2025, the machine learning & deep learning segment held a major market share of 33.5%, generating a revenue of USD 5.6 billion.
Based on the end user, the AI-powered industrial robot market is segmented into automotive, electronics & electrical, food & beverage, pharmaceuticals & healthcare, consumer goods, logistics & warehousing, and others. In 2025, automotive held the major market share of 35%, reflecting the industry’s reliance on high-precision autonomous assembly.
In 2025, North America is the largest market for AI-powered industrial robots. It has an estimated market value of USD 5.3 billion in 2025 with a projected growth rate of 7.3% through 2035.
Europe AI-Powered Industrial Robot Market
Europe is a significant market, estimated at USD 4.1 billion in 2025 with a projected growth rate of 6.8%. Germany leads the region with a sub-regional growth rate of 7.4% and a market value of USD 1 billion in 2025, followed by the UK and Italy.
Asia Pacific AI-Powered Industrial Robot Market
Asia Pacific is the second largest and fastest-growing regional market. It has an estimated market value of USD 4.6 billion in 2025 with a projected growth rate of 7.7% from 2026 to 2035.
Latin America represents a smaller segment of the global market, expected to reach USD 1.4 billion in 2025, growing at a rate of 5.6% from 2026 to 2035.
FANUC Corporation is leading the market with approximately 8% market share. Top players including FANUC Corporation, ABB Ltd, Yaskawa Electric Corporation, KUKA SE & Co. KGaA, and Teradyne Inc. collectively hold around 30%, indicating a moderately consolidated yet competitive landscape. These prominent players are proactively involved in strategic endeavors, such as mergers & acquisitions, facility expansions, and collaborations, to expand their product portfolios, extend their reach to a broad customer base, and strengthen their market position.
FANUC Corporation continues to solidify its leadership by embracing open-source ecosystems. In a major strategic shift, FANUC recently announced support for the ROS 2 (Robot Operating System) platform, allowing developers to use Python for industrial robot programming. This move, combined with their collaboration with NVIDIA, aims to unlock "Physical AI" capabilities, making high-precision industrial hardware more accessible to a new generation of software engineers.
ABB Ltd is undergoing a massive structural transformation, announcing the spin-off of its Robotics & Discrete Automation division into a standalone public entity by Q2 2026. This "pure-play" robotics company will focus on high-growth areas like AI-driven logistics and autonomous mobile robots (AMRs). To lower adoption barriers, ABB recently launched AppStudio, a no-code platform that allows even non-specialists to create complex robot control interfaces, effectively democratizing automation for SMEs.
Major players operating in the AI-powered industrial robot industry are:
Teradyne’s Universal Robots (UR) has aggressively targeted the "Physical AI" sector with the launch of its AI Accelerator toolkit at NVIDIA GTC 2025. This toolkit integrates NVIDIA Isaac libraries into UR’s PolyScope X platform, enabling cobots to perform tasks like bimanual assembly and LLM-driven programming. In December 2025, Teradyne also announced the opening of a new U.S. Operations Hub in Michigan for 2026 to support the massive reshoring trend in North American manufacturing.
The AI-powered industrial robot market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Billion) and volume (Thousand Units) from 2022 to 2035, for the following segments:
The above information is provided for the following regions and countries:
The market size was USD 16.8 billion in 2025, with a CAGR of 7.1% expected through 2035, driven by advancements in AI technologies and the integration of IT and OT in industrial robotics.
The market is expected to reach USD 33.3 billion by 2035, fueled by innovations such as Agentic AI, 3D vision-language models, and 5G-enabled edge computing.
The market is projected to reach USD 17.9 billion in 2026.
The machine learning & deep learning segment generated USD 5.6 billion in 2025, accounting for 33.5% of the market share.
Articulated robots held the largest share, accounting for 45% of the AI-powered industrial robot market in 2025.
North America was the largest market in 2025, with an estimated value of USD 5.3 billion and a projected growth rate of 7.3% through 2035. The region's dominance is attributed to strong technological adoption and industrial automation.
Key trends include the adoption of generative AI and natural language programming for intuitive robot-human interaction, the rise of humanoid and "Physical AI" robots for human-like movements, and the development of VLA models for robots to adapt to unstructured environments.
Key players include ABB Ltd, Agility Robotics, Inc., Boston Dynamics, Inc., FANUC Corporation, Figure AI, Inc., Kawasaki Heavy Industries Ltd., Keyence Corporation, KUKA SE & Co. KGaA, NVIDIA Corporation, and Omron Corporation.
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