How should buyers evaluate total cost of ownership in the Artificial Intelligence In Robotics Market?

Budget for integration, safety guarding, and model retraining alongside the robot price, since these often exceed hardware cost. Payback under 24 months usually requires multi-shift utilization and a stable part mix [21]. Read More

Is Robots-as-a-Service a safer entry route than outright purchase?

For plants with volatile volumes, usually yes. Subscriptions shift uptime risk to the vendor and turn capital expense into operating expense, though multi-year costs can exceed ownership [17]. Read More

Which cybersecurity framework applies to robots in the Artificial Intelligence In Robotics Market?

IEC 62443 is the reference framework for securing industrial control systems, including robot controllers. Buyers should require documented secure update pipelines and network segmentation before linking robots to cloud models [11]. Read More

How do simulation-trained robots compare with robots programmed on the shop floor?

Simulation-first training shortens commissioning because policies are refined on digital twins before deployment. The trade-off is the sim-to-real gap, which still demands on-site tuning for friction, lighting, and part variation [16]. Read More

Which emerging use cases could reshape the Artificial Intelligence In Robotics Market after 2030?

Agricultural harvesting, construction layout, and in-home assistance are the leading candidates. Each requires manipulation in unstructured settings, a capability general-purpose models are only beginning to demonstrate [23]. Read More

Can one technical file cover both EU AI Act and Machinery Regulation obligations?

Largely, yes. The two regimes were designed to interlock, so vendors can document AI risk management within the machinery conformity file, cutting duplicate certification work [6][7]. Read More

How are workforce roles changing where AI robots are deployed?

Demand shifts from manual operators toward robot technicians, data annotators, and cell supervisors. Vendors across the Artificial Intelligence In Robotics Market increasingly bundle training academies with equipment contracts [3]. Read More

Artificial Intelligence in Robotics Market (2026 – 2035)

ID: MRFR/ICT/30049-HCR 100 Pages Nirmit Biswas Last Updated: October 17, 2026

Artificial Intelligence in Robotics Market Size, Share and Research Report By Component (Hardware, Software, and Services), By Robot Type (Industrial Robots, Collaborative Robots, Service Robots, and Medical and Healthcare Robots), By Application (Manufacturing and Assembly, Logistics and Warehousing, Healthcare and Surgery, Inspection and Maintenance, and Retail and Customer Service), By End-user Industry (Automotive, Electronics and Semiconductors, Healthcare, Logistics and E-commerce, Food and Beverage, and Others) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) – Industry Forecast Till 2035

Artificial Intelligence in Robotics Market

Market Size

Forecast Period2026-2035

CAGR (2026-2035)12.14%

2025 Market SizeUSD 23.65 Billion

2035 Market SizeUSD 74.49 Billion

Key Players

ABB Ltd.

FANUC Corporation

Yaskawa Electric Corporation

KUKA AG

NVIDIA Corporation

Intuitive Surgical, Inc.

Trends

Foundation-Model Robot Programming
Manufacturing Labor Shortages
E-commerce Fulfillment Automation

Opportunities

General-Purpose Humanoids for Brownfield Plants
Robots-as-a-Service and Fleet Data Monetization
Emerging Markets in India, Brazil, and Saudi Arabia

Summary Table of Contents Segmentation Download PDF

1 Market Summary | |
2 Key Report Takeaways | |
1. 2.1 By Component | |
2. 2.2 By Robot Type | |
3. 2.3 By Application | |
4. 2.4 By End-user Industry | |
5. 2.5 By Region | |
3 Market Size and Forecast (2021–2035) | |
1. 3.1 Historical Market Size (2021–2025) | |
2. 3.2 Forecast Market Size (2026–2035) | |
3. 3.3 Year-over-Year Growth Analysis | |
4 Driver Impact Analysis | |
1. 4.1 Foundation-Model Robot Programming | |
2. 4.2 Manufacturing Labor Shortages | |
3. 4.3 E-commerce Fulfillment Automation | |
4. 4.4 National Robotics and Industrial Policy | |
5. 4.5 Automotive and Electronics Production Investment | |
6. 4.6 Aging Demographics and Healthcare Demand | |
5 Restraints Impact Analysis | |
1. 5.1 High Upfront and Integration Costs | |
2. 5.2 AI and Robotics Talent Scarcity | |
3. 5.3 Regulatory and Safety Certification Complexity | |
4. 5.4 Cybersecurity and Data Governance Risks | |
5. 5.5 Semiconductor Export Controls and Trade Friction | |
6 Opportunities | |
1. 6.1 General-Purpose Humanoids for Brownfield Plants | |
2. 6.2 Robots-as-a-Service and Fleet Data Monetization | |
3. 6.3 Emerging Markets in India, Brazil, and Saudi Arabia | |
4. 6.4 Eldercare and Hospital Logistics | |
5. 6.5 Simulation, Synthetic Data, and Digital Twins | |
7 Regional Market Share and Country-Level Analysis | |
1. 7.1 North America | | |
  1. 7.1.1 United States | |
2. 7.2 Europe | | |
  1. 7.2.1 Germany | | |
  2. 7.2.2 United Kingdom | | |
  3. 7.2.3 France | | |
  4. 7.2.4 Rest of Europe | |
3. 7.3 Asia-Pacific | | |
  1. 7.3.1 China | | |
  2. 7.3.2 Japan | | |
  3. 7.3.3 South Korea | | |
  4. 7.3.4 India | | |
  5. 7.3.5 Rest of Asia-Pacific | |
4. 7.4 South America | | |
  1. 7.4.1 Brazil | | |
  2. 7.4.2 Rest of South America | |
5. 7.5 Middle East & Africa | | |
  1. 7.5.1 Saudi Arabia | | |
  2. 7.5.2 United Arab Emirates | | |
  3. 7.5.3 Rest of Middle East & Africa | |
8 Future Outlook (2026–2035) | |
1. 8.1 Embodied Foundation Models Become the Control Layer | |
2. 8.2 Humanoid Scale-Up and Unit Economics | |
3. 8.3 Platform Economics and Fleet Interoperability | |
4. 8.4 Energy, Compute, and Sustainability Reporting | |
9 Segmentation Analysis | |
1. 9.1 By Component | | |
  1. 9.1.1 Hardware | | |
  2. 9.1.2 Software | | |
  3. 9.1.3 Services | |
2. 9.2 By Robot Type | | |
  1. 9.2.1 Industrial Robots | | |
  2. 9.2.2 Collaborative Robots | | |
  3. 9.2.3 Service Robots | | |
  4. 9.2.4 Medical and Healthcare Robots | |
3. 9.3 By Application | | |
  1. 9.3.1 Manufacturing and Assembly | | |
  2. 9.3.2 Logistics and Warehousing | | |
  3. 9.3.3 Healthcare and Surgery | | |
  4. 9.3.4 Inspection and Maintenance | | |
  5. 9.3.5 Retail and Customer Service | |
4. 9.4 By End-user Industry | | |
  1. 9.4.1 Automotive | | |
  2. 9.4.2 Electronics and Semiconductors | | |
  3. 9.4.3 Healthcare | | |
  4. 9.4.4 Logistics and E-commerce | | |
  5. 9.4.5 Food and Beverage | | |
  6. 9.4.6 Others | |
10 Competitive Landscape | |
1. 10.1 Market Concentration Analysis | |
2. 10.2 Competitive Benchmarking Matrix | |
3. 10.3 Company Profiles | | |
  1. 10.3.1 ABB Ltd. | | |
  2. 10.3.2 FANUC Corporation | | |
  3. 10.3.3 Yaskawa Electric Corporation | | |
  4. 10.3.4 KUKA AG | | |
  5. 10.3.5 NVIDIA Corporation | | |
  6. 10.3.6 Intuitive Surgical, Inc. | | |
  7. 10.3.7 Teradyne (Universal Robots, MiR) | | |
  8. 10.3.8 Amazon Robotics | | |
  9. 10.3.9 Boston Dynamics | | |
  10. 10.3.10 Alphabet (Google DeepMind) | |
11 Recent News & Developments | |
12 Report Scope and Methodology | |
13 Detailed Sources and Citations | |
14 Frequently Asked Questions (FAQs) | | LIST OF TABLES | |
TABLE 1 Global AI in Robotics Market Size & Forecast, by Revenue (USD Billion), 2021–2035 | |
TABLE 2 Global AI in Robotics Market – Year-over-Year Growth Analysis, 2021–2035 | |
TABLE 3 Driver Impact Analysis, 2026–2035 | |
TABLE 4 Restraints Impact Analysis, 2026–2035 | |
TABLE 5 Global AI in Robotics Market, by Region, 2025–2035 | |
TABLE 6 North America AI in Robotics Market, by Country, 2021–2035 (USD Billion) | |
TABLE 7 Europe AI in Robotics Market, by Country, 2021–2035 (USD Billion) | |
TABLE 8 Asia-Pacific AI in Robotics Market, by Country, 2021–2035 (USD Billion) | |
TABLE 9 South America AI in Robotics Market, by Country, 2021–2035 (USD Billion) | |
TABLE 10 Middle East & Africa AI in Robotics Market, by Country, 2021–2035 (USD Billion) | |
TABLE 11 Global AI in Robotics Market, by Component, 2021–2035 (USD Billion) | |
TABLE 12 Global AI in Robotics Market, by Robot Type, 2021–2035 (USD Billion) | |
TABLE 13 Global AI in Robotics Market, by Application, 2021–2035 (USD Billion) | |
TABLE 14 Global AI in Robotics Market, by End-user Industry, 2021–2035 (USD Billion) | |
TABLE 15 Competitive Benchmarking Matrix, 2025 | |
TABLE 16 Recent News & Developments, 2024–2025 | |
TABLE 17 Report Scope and Methodology | |
TABLE 18 Detailed Sources and Citations | | LIST OF FIGURES | |
FIGURE 1 Market Dynamics Overview – Drivers, Restraints, and Opportunities | |
FIGURE 2 Industry Value Chain Analysis | |
FIGURE 3 Porter's Five Forces Analysis | |
FIGURE 4 Global AI in Robotics Market Size Trend, 2021–2035 (USD Billion) | |
FIGURE 5 Market Share by Component, 2025 (%) | |
FIGURE 6 Market Share by Robot Type, 2025 (%) | |
FIGURE 7 Market Share by Application, 2025 (%) | |
FIGURE 8 Market Share by End-user Industry, 2025 (%) | |
FIGURE 9 Regional Market Share, 2025 (%) | |
FIGURE 10 Regional Growth Comparison, 2026–2035 (CAGR %) | |
FIGURE 11 Competitive Landscape – Estimated Revenue Share Ranges, 2025 | |
FIGURE 12 Competitive Positioning Matrix

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Segmentation Quick Reference

Dimension	Sub-Segments	Dominant Segment	Fastest Growing Segment
By Component	Hardware, Software, Services	Hardware — 57.4% share (2025)	Software — 21.6% CAGR (2026–2035)
By Robot Type	Industrial Robots, Collaborative Robots, Service Robots, Medical and Healthcare Robots	Industrial Robots — 63.1% share (2025)	Medical and Healthcare Robots — 23.2% CAGR (2026–2035)
By Application	Manufacturing and Assembly, Logistics and Warehousing, Healthcare and Surgery, Inspection and Maintenance, Retail and Customer Service	Manufacturing and Assembly — 37.8% share (2025)	Logistics and Warehousing — 22.4% CAGR (2026–2035)
By End-user Industry	Automotive, Electronics and Semiconductors, Healthcare, Logistics and E-commerce, Food and Beverage, Others	Automotive — 25.7% share (2025)	Healthcare — 22.1% CAGR (2026–2035)
By Region	North America, Europe, Asia-Pacific, South America, Middle East & Africa	Asia-Pacific — 13.4% CAGR (2026–2035)	Asia-Pacific — 13.4% CAGR (2026–2035)

Market Segmentation Overview

By Component

Sub-Segment	Key Trend
Hardware	Modular sensors, grippers, and edge AI boards replace monolithic robot builds
Software	Pre-trained perception and motion-planning libraries ship with new robots
Services	Retraining and remote monitoring contracts become recurring revenue

Hardware leads the component mix because sensors, actuators, and edge processors are required in every AI-enabled deployment, and modular designs let buyers upgrade cameras or compute without replacing the arm. Software grows fastest as machine learning & deep learning libraries deliver defect detection and adaptive grasping on existing fleets. Services track software adoption, since learned models need periodic retraining as parts and conditions change.

By Robot Type

Sub-Segment	Key Trend
Industrial Robots	AI lets Articulated Robots handle variable parts without re-teaching
Collaborative Robots	Safety-rated cobots spread into high-mix, low-volume cells
Service Robots	Logistics and cleaning robots move from pilots to fleet deployments
Medical and Healthcare Robots	Surgical platforms add force feedback and computer vision

Industrial Robots dominate because Articulated Robots already form an installed base above 4.28 million units, and AI retrofits extend their useful range to variable workpieces. Medical and Healthcare Robots grow fastest, propelled by surgical clearances such as da Vinci 5 and hospital logistics robots that address staff shortages. Collaborative Robots and Service Robots fill the gap between fixed automation and fully manual work.

By Application

Sub-Segment	Key Trend
Manufacturing and Assembly	Inline vision inspection and predictive maintenance reduce scrap
Logistics and Warehousing	AI-routed mobile robots adapt to shifting inventory in real time
Healthcare and Surgery	Robotic assistance expands into new minimally invasive procedures
Inspection and Maintenance	Legged and crawler robots survey energy and infrastructure assets
Retail and Customer Service	Shelf-scanning and assistance robots enter large-format stores

Manufacturing and Assembly remains the largest application because embedded vision catches defects invisible to human inspectors and edge analytics predicts equipment failures. Logistics and Warehousing grows fastest as e-commerce operators scale mobile robot fleets coordinated by fleet-level AI such as DeepFleet. Healthcare and Surgery and Inspection and Maintenance expand on the strength of specialized, high-value use cases.

By End-user Industry

Sub-Segment	Key Trend
Automotive	Generative AI shortens programming for new models and battery lines
Electronics and Semiconductors	New fabs specify automated wafer and component handling
Healthcare	Aging populations and surgical volumes lift robot demand
Logistics and E-commerce	Parcel sortation and goods-to-person picking automate at scale
Food and Beverage	Vision-guided handling copes with irregular, hygiene-sensitive products
Others	Agriculture, construction, and energy trial field-ready robots

Automotive holds the largest end-user share, applying AI robots to welding, painting, and EV battery assembly, where generative tools cut programming time for new variants. Healthcare grows fastest as care-worker shortages and expanding surgical indications push hospitals toward robotic assistance. Electronics and Semiconductors gains from CHIPS-funded fab construction, while Food and Beverage adopts vision-guided robots for irregular products.

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