Selected research
Industry Research
Embodied AI Data Industry Research Report 2026
Market perspective
The global Embodied AI Data market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Embodied AI Data market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Embodied AI Data market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Embodied AI Data market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Embodied AI Data include Google（Open X-Embodiment）, Figure AI, DeepMind, NVIDIA, PaXiniTech, AgiBot, X-humanoid, Dobot Robotics and LEJU（SHENZHEN) ROBOTICS CO.LTD, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Embodied AI Data market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Embodied AI Data.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Embodied AI Data Market by Company
Google（Open X-Embodiment）
Figure AI
DeepMind
NVIDIA
PaXiniTech
AgiBot
X-humanoid
Dobot Robotics
LEJU（SHENZHEN) ROBOTICS CO.LTD
X Square Robot
Beijing Galbot Co, Ltd.
Fourier
IO-AI
Peng Cheng Laboratory
Unitree Robotics
Appen
GalaXea AI
Beijing Galbot Co.,Ltd.
Embodied AI Data Segment by Type
Simulation Data
Simulation Data & Real Machine Data
Real Machine Data
Embodied AI Data Segment by Application
Industrial Manufacturing
Autonomous Driving
Logistics & Transportation
Home Services
Healthcare & Wellness
Others
Embodied AI Data Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Embodied AI Data market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Embodied AI Data and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Embodied AI Data.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Embodied AI Data companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Simulation Data
- Simulation Data & Real Machine Data
- Real Machine Data
Applications
- Industrial Manufacturing
- Autonomous Driving
- Logistics & Transportation
- Home Services
- Healthcare & Wellness
- Others
Companies covered
- Google（Open X-Embodiment）
- Figure AI
- DeepMind
- NVIDIA
- PaXiniTech
- AgiBot
- X-humanoid
- Dobot Robotics
- LEJU（SHENZHEN) ROBOTICS CO.LTD
- X Square Robot
- Beijing Galbot Co, Ltd.
- Fourier
- IO-AI
- Peng Cheng Laboratory
- Unitree Robotics
- Appen
- GalaXea AI
- Beijing Galbot Co.,Ltd.
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Embodied AI Data by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Simulation Data
- 2.2.3 Simulation Data & Real Machine Data
- 2.2.4 Real Machine Data
- 2.3 Embodied AI Data by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Industrial Manufacturing
- 2.3.3 Autonomous Driving
- 2.3.4 Logistics & Transportation
- 2.3.5 Home Services
- 2.3.6 Healthcare & Wellness
- 2.3.7 Others
- 2.4 Assumptions and Limitations
3 Embodied AI Data Breakdown Data by Type
- 3.1 Global Embodied AI Data Historic Market Size by Type (2021-2026)
- 3.2 Global Embodied AI Data Forecasted Market Size by Type (2027-2032)
4 Embodied AI Data Breakdown Data by Application
- 4.1 Global Embodied AI Data Historic Market Size by Application (2021-2026)
- 4.2 Global Embodied AI Data Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Embodied AI Data Market Perspective (2021-2032)
- 5.2 Global Embodied AI Data Growth Trends by Region
- 5.2.1 Global Embodied AI Data Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Embodied AI Data Historic Market Size by Region (2021-2026)
- 5.2.3 Embodied AI Data Forecasted Market Size by Region (2027-2032)
- 5.3 Embodied AI Data Market Dynamics
- 5.3.1 Embodied AI Data Industry Trends
- 5.3.2 Embodied AI Data Market Drivers
- 5.3.3 Embodied AI Data Market Challenges
- 5.3.4 Embodied AI Data Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Embodied AI Data Players by Revenue
- 6.1.1 Global Top Embodied AI Data Players by Revenue (2021-2026)
- 6.1.2 Global Embodied AI Data Revenue Market Share by Players (2021-2026)
- 6.2 Global Embodied AI Data Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Embodied AI Data Head Office and Area Served
- 6.4 Global Embodied AI Data Players, Product Type & Application
- 6.5 Global Embodied AI Data Manufacturers Established Date
- 6.6 Global Embodied AI Data Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Embodied AI Data Market Size (2021-2032)
- 7.2 North America Embodied AI Data Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Embodied AI Data Market Size by Country (2021-2026)
- 7.4 North America Embodied AI Data Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Embodied AI Data Market Size (2021-2032)
- 8.2 Europe Embodied AI Data Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Embodied AI Data Market Size by Country (2021-2026)
- 8.4 Europe Embodied AI Data Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Embodied AI Data Market Size (2021-2032)
- 9.2 Asia-Pacific Embodied AI Data Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Embodied AI Data Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Embodied AI Data Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Embodied AI Data Market Size (2021-2032)
- 10.2 South America Embodied AI Data Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Embodied AI Data Market Size by Country (2021-2026)
- 10.4 South America Embodied AI Data Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Embodied AI Data Market Size (2021-2032)
- 11.2 Middle East & Africa Embodied AI Data Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Embodied AI Data Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Embodied AI Data Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Google（Open X-Embodiment）
- 12.1.1 Google（Open X-Embodiment） Company Information
- 12.1.2 Google（Open X-Embodiment） Business Overview
- 12.1.3 Google（Open X-Embodiment） Revenue in Embodied AI Data Business (2021-2026)
- 12.1.4 Google（Open X-Embodiment） Embodied AI Data Product Portfolio
- 12.1.5 Google（Open X-Embodiment） Recent Developments
- 12.2 Figure AI
- 12.2.1 Figure AI Company Information
- 12.2.2 Figure AI Business Overview
- 12.2.3 Figure AI Revenue in Embodied AI Data Business (2021-2026)
- 12.2.4 Figure AI Embodied AI Data Product Portfolio
- 12.2.5 Figure AI Recent Developments
- 12.3 DeepMind
- 12.3.1 DeepMind Company Information
- 12.3.2 DeepMind Business Overview
- 12.3.3 DeepMind Revenue in Embodied AI Data Business (2021-2026)
- 12.3.4 DeepMind Embodied AI Data Product Portfolio
- 12.3.5 DeepMind Recent Developments
- 12.4 NVIDIA
- 12.4.1 NVIDIA Company Information
- 12.4.2 NVIDIA Business Overview
- 12.4.3 NVIDIA Revenue in Embodied AI Data Business (2021-2026)
- 12.4.4 NVIDIA Embodied AI Data Product Portfolio
- 12.4.5 NVIDIA Recent Developments
- 12.5 PaXiniTech
- 12.5.1 PaXiniTech Company Information
- 12.5.2 PaXiniTech Business Overview
- 12.5.3 PaXiniTech Revenue in Embodied AI Data Business (2021-2026)
- 12.5.4 PaXiniTech Embodied AI Data Product Portfolio
- 12.5.5 PaXiniTech Recent Developments
- 12.6 AgiBot
- 12.6.1 AgiBot Company Information
- 12.6.2 AgiBot Business Overview
- 12.6.3 AgiBot Revenue in Embodied AI Data Business (2021-2026)
- 12.6.4 AgiBot Embodied AI Data Product Portfolio
- 12.6.5 AgiBot Recent Developments
- 12.7 X-humanoid
- 12.7.1 X-humanoid Company Information
- 12.7.2 X-humanoid Business Overview
- 12.7.3 X-humanoid Revenue in Embodied AI Data Business (2021-2026)
- 12.7.4 X-humanoid Embodied AI Data Product Portfolio
- 12.7.5 X-humanoid Recent Developments
- 12.8 Dobot Robotics
- 12.8.1 Dobot Robotics Company Information
- 12.8.2 Dobot Robotics Business Overview
- 12.8.3 Dobot Robotics Revenue in Embodied AI Data Business (2021-2026)
- 12.8.4 Dobot Robotics Embodied AI Data Product Portfolio
- 12.8.5 Dobot Robotics Recent Developments
- 12.9 LEJU（SHENZHEN) ROBOTICS CO.LTD
- 12.9.1 LEJU（SHENZHEN) ROBOTICS CO.LTD Company Information
- 12.9.2 LEJU（SHENZHEN) ROBOTICS CO.LTD Business Overview
- 12.9.3 LEJU（SHENZHEN) ROBOTICS CO.LTD Revenue in Embodied AI Data Business (2021-2026)
- 12.9.4 LEJU（SHENZHEN) ROBOTICS CO.LTD Embodied AI Data Product Portfolio
- 12.9.5 LEJU（SHENZHEN) ROBOTICS CO.LTD Recent Developments
- 12.10 X Square Robot
- 12.10.1 X Square Robot Company Information
- 12.10.2 X Square Robot Business Overview
- 12.10.3 X Square Robot Revenue in Embodied AI Data Business (2021-2026)
- 12.10.4 X Square Robot Embodied AI Data Product Portfolio
- 12.10.5 X Square Robot Recent Developments
- 12.11 Beijing Galbot Co, Ltd.
- 12.11.1 Beijing Galbot Co, Ltd. Company Information
- 12.11.2 Beijing Galbot Co, Ltd. Business Overview
- 12.11.3 Beijing Galbot Co, Ltd. Revenue in Embodied AI Data Business (2021-2026)
- 12.11.4 Beijing Galbot Co, Ltd. Embodied AI Data Product Portfolio
- 12.11.5 Beijing Galbot Co, Ltd. Recent Developments
- 12.12 Fourier
- 12.12.1 Fourier Company Information
- 12.12.2 Fourier Business Overview
- 12.12.3 Fourier Revenue in Embodied AI Data Business (2021-2026)
- 12.12.4 Fourier Embodied AI Data Product Portfolio
- 12.12.5 Fourier Recent Developments
- 12.13 IO-AI
- 12.13.1 IO-AI Company Information
- 12.13.2 IO-AI Business Overview
- 12.13.3 IO-AI Revenue in Embodied AI Data Business (2021-2026)
- 12.13.4 IO-AI Embodied AI Data Product Portfolio
- 12.13.5 IO-AI Recent Developments
- 12.14 Peng Cheng Laboratory
- 12.14.1 Peng Cheng Laboratory Company Information
- 12.14.2 Peng Cheng Laboratory Business Overview
- 12.14.3 Peng Cheng Laboratory Revenue in Embodied AI Data Business (2021-2026)
- 12.14.4 Peng Cheng Laboratory Embodied AI Data Product Portfolio
- 12.14.5 Peng Cheng Laboratory Recent Developments
- 12.15 Unitree Robotics
- 12.15.1 Unitree Robotics Company Information
- 12.15.2 Unitree Robotics Business Overview
- 12.15.3 Unitree Robotics Revenue in Embodied AI Data Business (2021-2026)
- 12.15.4 Unitree Robotics Embodied AI Data Product Portfolio
- 12.15.5 Unitree Robotics Recent Developments
- 12.16 Appen
- 12.16.1 Appen Company Information
- 12.16.2 Appen Business Overview
- 12.16.3 Appen Revenue in Embodied AI Data Business (2021-2026)
- 12.16.4 Appen Embodied AI Data Product Portfolio
- 12.16.5 Appen Recent Developments
- 12.17 GalaXea AI
- 12.17.1 GalaXea AI Company Information
- 12.17.2 GalaXea AI Business Overview
- 12.17.3 GalaXea AI Revenue in Embodied AI Data Business (2021-2026)
- 12.17.4 GalaXea AI Embodied AI Data Product Portfolio
- 12.17.5 GalaXea AI Recent Developments
- 12.18 Beijing Galbot Co.,Ltd.
- 12.18.1 Beijing Galbot Co.,Ltd. Company Information
- 12.18.2 Beijing Galbot Co.,Ltd. Business Overview
- 12.18.3 Beijing Galbot Co.,Ltd. Revenue in Embodied AI Data Business (2021-2026)
- 12.18.4 Beijing Galbot Co.,Ltd. Embodied AI Data Product Portfolio
- 12.18.5 Beijing Galbot Co.,Ltd. Recent Developments
13 Report Conclusion
14 Disclaimer
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