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Global Large AI Models for Robots Market Strategic Research Report

Global Large AI Models for Robots Market Strategic Research …
$3,500 USD
Market Research Reports
Strategic Research Report
Global Large AI Models for Robots Market
$26.79B2025
21.5%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: LLM-Driven Robots, Vision-Language-Action (VLA) Models, Multimodal Embodied AI Models

By Application: Industrial Manufacturing, Warehousing And Logistics, Healthcare And Nursing, Home Services, Specialized Operations, Retail And Commercial Services, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: OpenAI, Anthropic, Google, Microsoft, Meta, Mistral AI, Cohere, Alibaba, Baidu, Tencent, DeepSeek, NVIDIA, Tesla, Figure AI, Boston Dynamics

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 112 pages
Market size 2025
$26.79B
Billion USD
Forecast CAGR
21.5%
2025-2032
Forecast 2032
$104.7B
Projected
Regionen
5
Asia Pacific · Latin America · MEA · Europe · North America

Übersicht

Scope of the Report

The global Large AI Models for Robots market size is predicted to grow from US$ 26,790 million in 2025 to US$ 105,055 million in 2032; it is expected to grow at a CAGR of 21.5% from 2026 to 2032.

Large AI models for robotics refer to a class of general-purpose artificial intelligence models designed to drive physical robotic systems. By integrating multimodal data, these models establish generalizable "embodied intelligent decision-making capabilities," enabling robots to perform integrated tasks—encompassing perception, understanding, planning, and action—within complex, real-world environments. Unlike traditional robotics systems reliant on rule-based programming and single-task control, these large AI models—centered on architectures such as Transformers, Vision-Language-Action (VLA) models, or world models—are trained on massive datasets. This training endows robots with cross-scenario adaptability and autonomous decision-making skills, facilitating a transition from industrial automation robots to "general-purpose robots" capable of operating across diverse physical environments, including manufacturing, logistics, healthcare, home services, and specialized operations.

Large AI models for robotics are currently transitioning from the "technology validation phase" to a period of "commercial explosion." Key drivers include labor shortages, the automation upgrade of the manufacturing sector, and the extension of AI capabilities from the digital realm into the physical world. As technologies related to embodied intelligence and world models mature, robots will evolve from single-task executors into "physical AI agents" possessing general-purpose capabilities. The industry is projected to enter a cycle of rapid expansion between 2026 and 2035, with applications gradually extending from industrial and warehousing settings to home services, medical care, operations in hazardous environments, and national defense. In the long term, this sector could reshape the structure of global production functions, establishing a "robot workforce" as a major productivity infrastructure—following cloud computing and AI—and driving industrial restructuring valued in the trillions of dollars.

This report presents a comprehensive overview of the global Large AI Models for Robots market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • LLM-Driven Robots
  • Vision-Language-Action (VLA) Models
  • Multimodal Embodied AI Models

Segment by Service Robot Forms

  • Humanoid Robots
  • Wheeled Service Robots
  • Industrial Robotic Arms
  • Quadruped Robots
  • Others

Segment by players, this report covers

  • OpenAI
  • Anthropic
  • Google
  • Microsoft
  • Meta
  • Mistral AI
  • Cohere
  • Alibaba
  • Baidu
  • Tencent
  • DeepSeek
  • NVIDIA
  • Tesla
  • Figure AI
  • Boston Dynamics

Segment by Application

  • Industrial Manufacturing
  • Warehousing And Logistics
  • Healthcare And Nursing
  • Home Services
  • Specialized Operations
  • Retail And Commercial Services
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Large AI Models for Robots market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Industrial Manufacturing, Warehousing And Logistics, Healthcare And Nursing evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Large AI Models for Robots Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 21.5%
Regional growth momentum
Market share by segment
Key metrics
Base value
$26.79B
2025
Forecast
$104.7B
2032
CAGR
21.5%
2025–2032
Regionen
5
global
Key companies
OpenAIAnthropicGoogleMicrosoftMetaMistral AICohereAlibaba
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
LLM-Driven RobotsVision-Language-Action (VLA) ModelsMultimodal Embodied AI Models
By Application
Industrial ManufacturingWarehousing And LogisticsHealthcare And NursingHome ServicesSpecialized OperationsRetail And Commercial ServicesOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 LLM-Driven Robots
  • 3.1.3 Vision-Language-Action (VLA) Models
  • 3.1.4 Multimodal Embodied AI Models
  • 3.1.5 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Industrial Manufacturing
  • 4.1.3 Warehousing And Logistics
  • 4.1.4 Healthcare And Nursing
  • 4.1.5 Home Services
  • 4.1.6 Specialized Operations
  • 4.1.7 Retail And Commercial Services
  • 4.1.8 Others
  • 4.1.9 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 OpenAI
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Anthropic
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Google
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Microsoft
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Meta
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Mistral AI
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Cohere
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Alibaba
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Baidu
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Tencent
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 DeepSeek
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 NVIDIA
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Tesla
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Figure AI
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 Boston Dynamics
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the size of the global Large AI Models for Robots market?
The global Large AI Models for Robots market is estimated at US$ 26.79 billion in 2025 (base year) and is projected to reach US$ 105.06 billion by 2032.
What is the forecast CAGR for the Large AI Models for Robots market?
The market is expected to grow at a CAGR of 21.5% from 2026 to 2032, expanding from US$ 26.79 billion in 2025 to US$ 105.06 billion in 2032, roughly 3.9 times its base-year value.
What is Large AI Models for Robots?
Large AI models for robotics refer to a class of general-purpose artificial intelligence models designed to drive physical robotic systems. By integrating multimodal data, these models establish generalizable "embodied intelligent decision-making capabilities," enabling robots to perform integrated tasks—encompassing perception, understanding, planning, and action—within complex, real-world environments.
How is the Large AI Models for Robots market segmented by type?
By type, the market is segmented into LLM-Driven Robots, Vision-Language-Action (VLA) Models and Multimodal Embodied AI Models.
What are the key applications of Large AI Models for Robots?
Key applications covered include Industrial Manufacturing, Warehousing And Logistics, Healthcare And Nursing, Home Services, Specialized Operations, Retail And Commercial Services and Others.
Which companies are profiled in the Large AI Models for Robots market report?
Key players profiled include OpenAI, Anthropic, Google, Microsoft, Meta, Mistral AI, Cohere and Alibaba, among 15 companies covered in total.
What geographies does the Large AI Models for Robots market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What are the key demand drivers for Large AI Models for Robots?
In the long term, this sector could reshape the structure of global production functions, establishing a "robot workforce" as a major productivity infrastructure—following cloud computing and AI—and driving industrial restructuring valued in the trillions of dollars.
Who should buy the Large AI Models for Robots market report?
The report is intended for manufacturers and solution providers, distributors and end users in Industrial Manufacturing, Warehousing And Logistics and Healthcare And Nursing, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Large AI Models for Robots market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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