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Published Date: 2025-10-23 | Pages: 130 | Tables: 117 | New Technology
The global Embodied Intelligence Large Model market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
Embodied intelligent robots refer to robots that can interact with the environment, plan, make decisions, act, and execute tasks like humans. Embodied intelligence big models refer to big language models used for embodied intelligent robots, which integrate capabilities such as multimodal input and can provide robots with advanced visual and language intelligence.
From a downstream perspective, Commercial accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
Embodied Intelligence Large Model leading manufacturers including OpenAI/Microsoft, Google Deepmind, NVIDIA, Huawei, Alibaba(China)Network Technology, Noematrix, OpenCSG, GalaxyBot, Dataa Robotics, Zhejiang Youlu Robot Technology, etc., dominate supply; the top five capture approximately % of global revenue, with OpenAI/Microsoft leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).
Report Includes:
This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Embodied Intelligence Large Model market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation
By Company
OpenAI/Microsoft
Google Deepmind
NVIDIA
Huawei
Alibaba(China)Network Technology
Noematrix
OpenCSG
GalaxyBot
Dataa Robotics
Zhejiang Youlu Robot Technology
Segment by Type
Autonomous Driving Embodied Intelligence Large Model
Robot Embodied Intelligence Large Model
Segment by Application
Commercial
Scientific Research
Other
Sales by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
Japan
South Korea
India
Australia
Vietnam
Indonesia
Malaysia
Philippines
Singapore
Rest of Asia
Europe
Germany
U.K.
France
Italy
Spain
Benelux
Russia
Rest of Europe
Central and South America
Brazil
Argentina
Rest of South America
Middle East & Africa
GCC Countries
Egypt
Israel
South Africa
Rest of MEA
Chapter Outline
Chapter 1: Defines the Embodied Intelligence Large Model study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 14: Actionable conclusions and strategic recommendations.
Why This Report:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
Research Methodology
The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:
★Stage 1 SECONDARY RESEARCH
The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.
★Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES
After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.
★Stage 3 ANALYSIS OF THE GATHERED DATA
The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.
★Stage 4 QUANTITATIVE DATA
The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.
★Stage 5 QUALITY CONTROL
Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.
1 Study Coverage
1.1 Introduction to Embodied Intelligence Large Model: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Embodied Intelligence Large Model Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Autonomous Driving Embodied Intelligence Large Model
1.2.3 Robot Embodied Intelligence Large Model
1.3 Market Segmentation by Application
1.3.1 Global Embodied Intelligence Large Model Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Commercial
1.3.3 Scientific Research
1.3.4 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Embodied Intelligence Large Model Revenue Estimates and Forecasts 2020-2031
2.2 Global Embodied Intelligence Large Model Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Embodied Intelligence Large Model Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Embodied Intelligence Large Model Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Autonomous Driving Embodied Intelligence Large Model Market Size by Players
3.3.2 Robot Embodied Intelligence Large Model Market Size by Players
3.4 Global Embodied Intelligence Large Model Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Embodied Intelligence Large Model Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Embodied Intelligence Large Model Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Embodied Intelligence Large Model Market Size by Type (2020-2031)
6.4 North America Embodied Intelligence Large Model Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Embodied Intelligence Large Model Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Embodied Intelligence Large Model Market Size by Type (2020-2031)
7.4 Europe Embodied Intelligence Large Model Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Embodied Intelligence Large Model Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Embodied Intelligence Large Model Market Size by Type (2020-2031)
8.4 Asia-Pacific Embodied Intelligence Large Model Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Embodied Intelligence Large Model Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Embodied Intelligence Large Model Market Size by Type (2020-2031)
9.4 Central and South America Embodied Intelligence Large Model Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Embodied Intelligence Large Model Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Embodied Intelligence Large Model Market Size by Type (2020-2031)
10.4 Middle East and Africa Embodied Intelligence Large Model Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Embodied Intelligence Large Model Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 OpenAI/Microsoft
11.1.1 OpenAI/Microsoft Corporation Information
11.1.2 OpenAI/Microsoft Business Overview
11.1.3 OpenAI/Microsoft Embodied Intelligence Large Model Product Features and Attributes
11.1.4 OpenAI/Microsoft Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.1.5 OpenAI/Microsoft Embodied Intelligence Large Model Revenue by Product in 2024
11.1.6 OpenAI/Microsoft Embodied Intelligence Large Model Revenue by Application in 2024
11.1.7 OpenAI/Microsoft Embodied Intelligence Large Model Revenue by Geographic Area in 2024
11.1.8 OpenAI/Microsoft Embodied Intelligence Large Model SWOT Analysis
11.1.9 OpenAI/Microsoft Recent Developments
11.2 Google Deepmind
11.2.1 Google Deepmind Corporation Information
11.2.2 Google Deepmind Business Overview
11.2.3 Google Deepmind Embodied Intelligence Large Model Product Features and Attributes
11.2.4 Google Deepmind Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.2.5 Google Deepmind Embodied Intelligence Large Model Revenue by Product in 2024
11.2.6 Google Deepmind Embodied Intelligence Large Model Revenue by Application in 2024
11.2.7 Google Deepmind Embodied Intelligence Large Model Revenue by Geographic Area in 2024
11.2.8 Google Deepmind Embodied Intelligence Large Model SWOT Analysis
11.2.9 Google Deepmind Recent Developments
11.3 NVIDIA
11.3.1 NVIDIA Corporation Information
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Embodied Intelligence Large Model Product Features and Attributes
11.3.4 NVIDIA Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.3.5 NVIDIA Embodied Intelligence Large Model Revenue by Product in 2024
11.3.6 NVIDIA Embodied Intelligence Large Model Revenue by Application in 2024
11.3.7 NVIDIA Embodied Intelligence Large Model Revenue by Geographic Area in 2024
11.3.8 NVIDIA Embodied Intelligence Large Model SWOT Analysis
11.3.9 NVIDIA Recent Developments
11.4 Huawei
11.4.1 Huawei Corporation Information
11.4.2 Huawei Business Overview
11.4.3 Huawei Embodied Intelligence Large Model Product Features and Attributes
11.4.4 Huawei Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.4.5 Huawei Embodied Intelligence Large Model Revenue by Product in 2024
11.4.6 Huawei Embodied Intelligence Large Model Revenue by Application in 2024
11.4.7 Huawei Embodied Intelligence Large Model Revenue by Geographic Area in 2024
11.4.8 Huawei Embodied Intelligence Large Model SWOT Analysis
11.4.9 Huawei Recent Developments
11.5 Alibaba(China)Network Technology
11.5.1 Alibaba(China)Network Technology Corporation Information
11.5.2 Alibaba(China)Network Technology Business Overview
11.5.3 Alibaba(China)Network Technology Embodied Intelligence Large Model Product Features and Attributes
11.5.4 Alibaba(China)Network Technology Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.5.5 Alibaba(China)Network Technology Embodied Intelligence Large Model Revenue by Product in 2024
11.5.6 Alibaba(China)Network Technology Embodied Intelligence Large Model Revenue by Application in 2024
11.5.7 Alibaba(China)Network Technology Embodied Intelligence Large Model Revenue by Geographic Area in 2024
11.5.8 Alibaba(China)Network Technology Embodied Intelligence Large Model SWOT Analysis
11.5.9 Alibaba(China)Network Technology Recent Developments
11.6 Noematrix
11.6.1 Noematrix Corporation Information
11.6.2 Noematrix Business Overview
11.6.3 Noematrix Embodied Intelligence Large Model Product Features and Attributes
11.6.4 Noematrix Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.6.5 Noematrix Recent Developments
11.7 OpenCSG
11.7.1 OpenCSG Corporation Information
11.7.2 OpenCSG Business Overview
11.7.3 OpenCSG Embodied Intelligence Large Model Product Features and Attributes
11.7.4 OpenCSG Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.7.5 OpenCSG Recent Developments
11.8 GalaxyBot
11.8.1 GalaxyBot Corporation Information
11.8.2 GalaxyBot Business Overview
11.8.3 GalaxyBot Embodied Intelligence Large Model Product Features and Attributes
11.8.4 GalaxyBot Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.8.5 GalaxyBot Recent Developments
11.9 Dataa Robotics
11.9.1 Dataa Robotics Corporation Information
11.9.2 Dataa Robotics Business Overview
11.9.3 Dataa Robotics Embodied Intelligence Large Model Product Features and Attributes
11.9.4 Dataa Robotics Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.9.5 Dataa Robotics Recent Developments
11.10 Zhejiang Youlu Robot Technology
11.10.1 Zhejiang Youlu Robot Technology Corporation Information
11.10.2 Zhejiang Youlu Robot Technology Business Overview
11.10.3 Zhejiang Youlu Robot Technology Embodied Intelligence Large Model Product Features and Attributes
11.10.4 Zhejiang Youlu Robot Technology Embodied Intelligence Large Model Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
12 Embodied Intelligence Large ModelIndustry Chain Analysis
12.1 Embodied Intelligence Large Model Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Embodied Intelligence Large Model Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Embodied Intelligence Large Model Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
List of Tables
Table 1. Global Embodied Intelligence Large Model Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Table 2. Global Embodied Intelligence Large Model Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Table 3. Global Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 4. Global Embodied Intelligence Large Model Revenue by Region (2020-2025) & (US$ Million)
Table 5. Global Embodied Intelligence Large Model Revenue by Region (2026-2031) & (US$ Million)
Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 7. Global Embodied Intelligence Large Model Revenue by Players (2020-2025) & (US$ Million)
Table 8. Global Embodied Intelligence Large Model Revenue Market Share by Players (2020-2025)
Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
Table 10. Global Embodied Intelligence Large Model by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Embodied Intelligence Large Model as of 2024)
Table 11. Global Embodied Intelligence Large Model Average Gross Margin (%) by Player (2020 VS 2024)
Table 12. Global Embodied Intelligence Large Model Companies Headquarters
Table 13. Global Embodied Intelligence Large Model Market Concentration Ratio (CR5 and HHI)
Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
Table 16. Global Embodied Intelligence Large Model Revenue by Type (2020-2025) & (US$ Million)
Table 17. Global Embodied Intelligence Large Model Revenue by Type (2026-2031) & (US$ Million)
Table 18. Key Product Attributes and Differentiation
Table 19. Global Embodied Intelligence Large Model Revenue by Application (2020-2025) & (US$ Million)
Table 20. Global Embodied Intelligence Large Model Revenue by Application (2026-2031) & (US$ Million)
Table 21. Embodied Intelligence Large Model High-Growth Sectors Demand CAGR (2024-2031)
Table 22. Top Customers by Region
Table 23. Top Customers by Application
Table 24. North America Embodied Intelligence Large Model Growth Accelerators and Market Barriers
Table 25. North America Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 26. Europe Embodied Intelligence Large Model Growth Accelerators and Market Barriers
Table 27. Europe Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
Table 28. Asia-Pacific Embodied Intelligence Large Model Growth Accelerators and Market Barriers
Table 29. Asia-Pacific Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 30. Central and South America Embodied Intelligence Large Model Investment Opportunities and Key Challenges
Table 31. Central and South America Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 32. Middle East and Africa Embodied Intelligence Large Model Investment Opportunities and Key Challenges
Table 33. Middle East and Africa Embodied Intelligence Large Model Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 34. OpenAI/Microsoft Corporation Information
Table 35. OpenAI/Microsoft Description and Major Businesses
Table 36. OpenAI/Microsoft Product Features and Attributes
Table 37. OpenAI/Microsoft Revenue (US$ Million) and Gross Margin (2020-2025)
Table 38. OpenAI/Microsoft Revenue Proportion by Product in 2024
Table 39. OpenAI/Microsoft Revenue Proportion by Application in 2024
Table 40. OpenAI/Microsoft Revenue Proportion by Geographic Area in 2024
Table 41. OpenAI/Microsoft Embodied Intelligence Large Model SWOT Analysis
Table 42. OpenAI/Microsoft Recent Developments
Table 43. Google Deepmind Corporation Information
Table 44. Google Deepmind Description and Major Businesses
Table 45. Google Deepmind Product Features and Attributes
Table 46. Google Deepmind Revenue (US$ Million) and Gross Margin (2020-2025)
Table 47. Google Deepmind Revenue Proportion by Product in 2024
Table 48. Google Deepmind Revenue Proportion by Application in 2024
Table 49. Google Deepmind Revenue Proportion by Geographic Area in 2024
Table 50. Google Deepmind Embodied Intelligence Large Model SWOT Analysis
Table 51. Google Deepmind Recent Developments
Table 52. NVIDIA Corporation Information
Table 53. NVIDIA Description and Major Businesses
Table 54. NVIDIA Product Features and Attributes
Table 55. NVIDIA Revenue (US$ Million) and Gross Margin (2020-2025)
Table 56. NVIDIA Revenue Proportion by Product in 2024
Table 57. NVIDIA Revenue Proportion by Application in 2024
Table 58. NVIDIA Revenue Proportion by Geographic Area in 2024
Table 59. NVIDIA Embodied Intelligence Large Model SWOT Analysis
Table 60. NVIDIA Recent Developments
Table 61. Huawei Corporation Information
Table 62. Huawei Description and Major Businesses
Table 63. Huawei Product Features and Attributes
Table 64. Huawei Revenue (US$ Million) and Gross Margin (2020-2025)
Table 65. Huawei Revenue Proportion by Product in 2024
Table 66. Huawei Revenue Proportion by Application in 2024
Table 67. Huawei Revenue Proportion by Geographic Area in 2024
Table 68. Huawei Embodied Intelligence Large Model SWOT Analysis
Table 69. Huawei Recent Developments
Table 70. Alibaba(China)Network Technology Corporation Information
Table 71. Alibaba(China)Network Technology Description and Major Businesses
Table 72. Alibaba(China)Network Technology Product Features and Attributes
Table 73. Alibaba(China)Network Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 74. Alibaba(China)Network Technology Revenue Proportion by Product in 2024
Table 75. Alibaba(China)Network Technology Revenue Proportion by Application in 2024
Table 76. Alibaba(China)Network Technology Revenue Proportion by Geographic Area in 2024
Table 77. Alibaba(China)Network Technology Embodied Intelligence Large Model SWOT Analysis
Table 78. Alibaba(China)Network Technology Recent Developments
Table 79. Noematrix Corporation Information
Table 80. Noematrix Description and Major Businesses
Table 81. Noematrix Product Features and Attributes
Table 82. Noematrix Revenue (US$ Million) and Gross Margin (2020-2025)
Table 83. Noematrix Recent Developments
Table 84. OpenCSG Corporation Information
Table 85. OpenCSG Description and Major Businesses
Table 86. OpenCSG Product Features and Attributes
Table 87. OpenCSG Revenue (US$ Million) and Gross Margin (2020-2025)
Table 88. OpenCSG Recent Developments
Table 89. GalaxyBot Corporation Information
Table 90. GalaxyBot Description and Major Businesses
Table 91. GalaxyBot Product Features and Attributes
Table 92. GalaxyBot Revenue (US$ Million) and Gross Margin (2020-2025)
Table 93. GalaxyBot Recent Developments
Table 94. Dataa Robotics Corporation Information
Table 95. Dataa Robotics Description and Major Businesses
Table 96. Dataa Robotics Product Features and Attributes
Table 97. Dataa Robotics Revenue (US$ Million) and Gross Margin (2020-2025)
Table 98. Dataa Robotics Recent Developments
Table 99. Zhejiang Youlu Robot Technology Corporation Information
Table 100. Zhejiang Youlu Robot Technology Description and Major Businesses
Table 101. Zhejiang Youlu Robot Technology Product Features and Attributes
Table 102. Zhejiang Youlu Robot Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 103. Zhejiang Youlu Robot Technology Recent Developments
Table 104. Raw Materials Key Suppliers
Table 105. Distributors List
Table 106. Market Trends and Market Evolution
Table 107. Market Drivers and Opportunities
Table 108. Market Challenges, Risks, and Restraints
Table 109. Research Programs/Design for This Report
Table 110. Key Data Information from Secondary Sources
Table 111. Key Data Information from Primary Sources
List of Figures
Figure 1. Embodied Intelligence Large Model Product Picture
Figure 2. Global Embodied Intelligence Large Model Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Figure 3. Autonomous Driving Embodied Intelligence Large Model Product Picture
Figure 4. Robot Embodied Intelligence Large Model Product Picture
Figure 5. Global Embodied Intelligence Large Model Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Figure 6. Commercial
Figure 7. Scientific Research
Figure 8. Other
Figure 9. Embodied Intelligence Large Model Report Years Considered
Figure 10. Global Embodied Intelligence Large Model Revenue, (US$ Million), 2020 VS 2024 VS 2031
Figure 11. Global Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 12. Global Embodied Intelligence Large Model Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Figure 13. Global Embodied Intelligence Large Model Revenue Market Share by Region (2020-2031)
Figure 14. Global Embodied Intelligence Large Model Revenue Market Share Ranking (2024)
Figure 15. Tier Distribution by Revenue Contribution (2020 VS 2024)
Figure 16. Autonomous Driving Embodied Intelligence Large Model Revenue Market Share by Player in 2024
Figure 17. Robot Embodied Intelligence Large Model Revenue Market Share by Player in 2024
Figure 18. Global Embodied Intelligence Large Model Revenue Market Share by Type (2020-2031)
Figure 19. Global Embodied Intelligence Large Model Revenue Market Share by Application (2020-2031)
Figure 20. North America Embodied Intelligence Large Model Revenue YoY (2020-2031) & (US$ Million)
Figure 21. North America Top 5 Players Embodied Intelligence Large Model Revenue (US$ Million) in 2024
Figure 22. North America Embodied Intelligence Large Model Revenue (US$ Million) by Type (2020 - 2031)
Figure 23. North America Embodied Intelligence Large Model Revenue (US$ Million) by Application (2020-2031)
Figure 24. US Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 25. Canada Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 26. Mexico Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 27. Europe Embodied Intelligence Large Model Revenue YoY (2020-2031) & (US$ Million)
Figure 28. Europe Top 5 Players Embodied Intelligence Large Model Revenue (US$ Million) in 2024
Figure 29. Europe Embodied Intelligence Large Model Revenue (US$ Million) by Type (2020-2031)
Figure 30. Europe Embodied Intelligence Large Model Revenue (US$ Million) by Application (2020-2031)
Figure 31. Germany Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 32. France Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 33. U.K. Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 34. Italy Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 35. Russia Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 36. Asia-Pacific Embodied Intelligence Large Model Revenue YoY (2020-2031) & (US$ Million)
Figure 37. Asia-Pacific Top 8 Players Embodied Intelligence Large Model Revenue (US$ Million) in 2024
Figure 38. Asia-Pacific Embodied Intelligence Large Model Revenue (US$ Million) by Type (2020-2031)
Figure 39. Asia-Pacific Embodied Intelligence Large Model Revenue (US$ Million) by Application (2020-2031)
Figure 40. Indonesia Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 41. Japan Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 42. South Korea Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 43. Australia Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 44. India Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 45. Indonesia Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 46. Vietnam Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 47. Malaysia Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 48. Philippines Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 49. Singapore Embodied Intelligence Large Model Revenue (2020-2031) & (US$ Million)
Figure 50. Central and South America Embodied Intelligence Large Model Revenue YoY (2020-2031) & (US$ Million)
Figure 51. Central and South America Top 5 Players Embodied Intelligence Large Model Revenue (US$ Million) in 2024
Figure 52. Central and South America Embodied Intelligence Large Model Revenue (US$ Million) by Type (2020-2031)
Figure 53. Central and South America Embodied Intelligence Large Model Revenue (US$ Million) by Application (2020-2031)
Figure 54. Brazil Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 55. Argentina Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 56. Middle East and Africa Embodied Intelligence Large Model Revenue YoY (2020-2031) & (US$ Million)
Figure 57. Middle East and Africa Top 5 Players Embodied Intelligence Large Model Revenue (US$ Million) in 2024
Figure 58. South America Embodied Intelligence Large Model Revenue (US$ Million) by Type (2020-2031)
Figure 59. Middle East and Africa Embodied Intelligence Large Model Revenue (US$ Million) by Application (2020-2031)
Figure 60. GCC Countries Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 61. Israel Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 62. Egypt Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 63. South Africa Embodied Intelligence Large Model Revenue (2020-2025) & (US$ Million)
Figure 64. Embodied Intelligence Large Model Industry Chain Mapping
Figure 65. Channels of Distribution (Direct Vs Distribution)
Figure 66. Bottom-up and Top-down Approaches for This Report
Figure 67. Data Triangulation
Figure 68. Key Executives Interviewed
