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Published Date: 2026-04-01 | Pages: 160 | Tables: 158 | Service & Software
The global Robot Manipulation Dataset market was valued at US$ 1030 million in 2025 and is anticipated to reach US$ 9237 million by 2032, at a CAGR of 36.8% from 2026 to 2032.
With the development of large-scale models and robotics, embodied AI gives artificial intelligence systems a physical form to interact with and learn from their environment. From action programming to human teleoperation, from robotic arms to dexterous hands, embodied AI is gradually establishing a development paradigm at both the hardware and software levels. Drawing inspiration from the development path of autonomous vehicles, data is equally crucial for embodied AI. Data not only serves as "fuel" driving the agent's perception and understanding of the environment, but also helps build environmental models and predict changes through multimodal sensors (such as vision, hearing, and touch). This enables the agent to perform contextual awareness and predictive maintenance based on historical data, thereby making better decisions. Building high-quality, diverse perception datasets is an indispensable foundation. These datasets not only provide rich material for algorithm training but also serve as benchmarks for evaluating embodied performance. Data is key to driving rapid breakthroughs and practical applications in embodied AI technology. High-quality datasets can drive the agent's perception and understanding of the environment, accelerate the training and deployment of embodied AI models, and help robots effectively complete complex tasks. Unlike large language models that can utilize massive amounts of internet information as training data, embodied intelligence models used by robots lack readily available data. They require significant time and resources for practical robot operation or simulation to collect heterogeneous data from multiple sources, including visual, tactile, force, motion trajectory, and robot body state data. Standardized and validated datasets have become a necessity in the embodied intelligence industry. Currently, embodied intelligence bodies take many forms, with diverse application scenarios, leading to a more varied demand for embodied intelligence training data. Some datasets in the industry still focus primarily on specific robots, scenarios, and skills, lacking overall versatility. Therefore, constructing high-quality, diverse perception datasets is an indispensable foundation. These datasets not only provide rich material for algorithm training but also serve as benchmarks for evaluating embodied performance. It is projected that nearly 200 million high-quality, high-dimensional embodied intelligence training datasets will be produced annually by 2024, with the cost of capturing one hour of multi-model robot data for autonomous vehicles reaching $180. The gross margin for global robot operation datasets is projected to be around 60% in 2025. By 2026, the training data volume of leading algorithm companies will inevitably exceed one million hours. The upstream of the embodied intelligence industry chain consists of core components, sensors, batteries, and energy systems; the downstream consists of end-application companies in intelligent manufacturing, autonomous driving, and healthcare. The midstream consists of basic models, cloud platforms and data, and software development. Data needs to collaborate with large models and high computing power.
High-quality data is extremely scarce due to the high cost and difficulty of robot data collection. Embodied intelligence also faces the challenge of insufficient training data; high-quality data is a hurdle that embodied intelligence companies worldwide struggle to overcome. Large language models rely on training with vast amounts of existing internet data to achieve intelligent emergence. If embodied intelligence follows a similar logic, it will require an enormous amount of data. Currently, the industry lacks high-quality embodied interaction data. Enabling robots to achieve accurate understanding and decision-making in complex, dynamic, and unstructured real-world scenarios is a major challenge. Embodied intelligence requires high-dimensional, continuous, and dynamic scene data, but real-device data collection is extremely costly, and simulation data cannot fully bridge the gap between 'virtual and reality'. Existing embodied intelligence robot datasets generally still have several problems: limited sensory modalities, insufficient task complexity, and a lack of standardization. Limited sensory modalities: over-reliance on visual modalities and a lack of multimodal fusion; severe shortage of tactile and force feedback data. Tactile feedback is crucial for precise robot manipulation, but existing datasets generally lack this type of information. Insufficient task complexity: Most datasets focus on simple actions in a single scenario, such as basic operations like grasping, placing, and pushing. These tasks typically require only a single decision or short-range operation, lacking coverage of complex logical reasoning, multi-step collaboration, and goal-related tasks. Lack of standardization: This includes inconsistent data formats, inconsistent evaluation metrics, vague task definitions, and differences in annotation methods, severely limiting the algorithm's generalization ability across scenarios, tasks, and robot types.
This report delivers a comprehensive overview of the global Robot Manipulation Dataset market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding Robot Manipulation Dataset. The Robot Manipulation Dataset market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global Robot Manipulation Dataset market comprehensively. Regional market sizes by Type, by Application, by Business Model, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist Robot Manipulation Dataset manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
Market Segmentation
By Company
Google（Open X-Embodiment）
Figure AI
NVIDIA
SignIQ La
Labellerr
DROID Dataset
DataMesh Robotics
Roboflow
Bright Data Ltd.
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.
RealMan Group
Segment by Type
Real Machine Data
Simulation Data
Segment by Business Model
Data Set Sales
Data Value-added Services (Data Collection)
Segment by Fee
Open Source
Paid
Segment by Application
Logistics Scenarios
Life Service Scenarios
3C Factory;
Hotel Service
Fast-moving Consumer Goods Scenarios
Automobile Factory
By Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia & New Zealand
Rest of Asia
Europe
Germany
France
U.K.
Italy
Ireland
Russia
Rest of Europe
Latin America
Mexico
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Israel
United Arab Emirates (UAE)
Saudi Arabia
Rest of MEA
Chapter Outline
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, by Business Model, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for Robot Manipulation Dataset companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.
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 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Robot Manipulation Dataset Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Real Machine Data
1.2.3 Simulation Data
1.3 Market by Business Model
1.3.1 Global Robot Manipulation Dataset Market Size Growth Rate by Business Model: 2021 vs 2025 vs 2032
1.3.2 Data Set Sales
1.3.3 Data Value-added Services (Data Collection)
1.4 Market by Fee
1.4.1 Global Robot Manipulation Dataset Market Size Growth Rate by Fee: 2021 vs 2025 vs 2032
1.4.2 Open Source
1.4.3 Paid
1.5 Market by Application
1.5.1 Global Robot Manipulation Dataset Market Growth by Application: 2021 vs 2025 vs 2032
1.5.2 Logistics Scenarios
1.5.3 Life Service Scenarios
1.5.4 3C Factory;
1.5.5 Hotel Service
1.5.6 Fast-moving Consumer Goods Scenarios
1.5.7 Automobile Factory
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered
2 Global Growth Trends
2.1 Global Robot Manipulation Dataset Market Perspective (2021–2032)
2.2 Global Robot Manipulation Dataset Growth Trends by Region
2.2.1 Global Robot Manipulation Dataset Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 Robot Manipulation Dataset Historic Market Size by Region (2021–2026)
2.2.3 Robot Manipulation Dataset Forecasted Market Size by Region (2027–2032)
2.3 Robot Manipulation Dataset Market Dynamics
2.3.1 Robot Manipulation Dataset Industry Trends
2.3.2 Robot Manipulation Dataset Market Drivers
2.3.3 Robot Manipulation Dataset Market Challenges
2.3.4 Robot Manipulation Dataset Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Robot Manipulation Dataset Players by Revenue
3.1.1 Global Top Robot Manipulation Dataset Players by Revenue (2021–2026)
3.1.2 Global Robot Manipulation Dataset Revenue Market Share by Players (2021–2026)
3.2 Global Top Robot Manipulation Dataset Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by Robot Manipulation Dataset Revenue
3.4 Global Robot Manipulation Dataset Market Concentration Ratio
3.4.1 Global Robot Manipulation Dataset Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Robot Manipulation Dataset Revenue in 2025
3.5 Global Key Players of Robot Manipulation Dataset Head Offices and Areas Served
3.6 Global Key Players of Robot Manipulation Dataset, Products and Applications
3.7 Global Key Players of Robot Manipulation Dataset, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 Robot Manipulation Dataset Breakdown Data by Type
4.1 Global Robot Manipulation Dataset Historic Market Size by Type (2021–2026)
4.2 Global Robot Manipulation Dataset Forecasted Market Size by Type (2027–2032)
5 Robot Manipulation Dataset Breakdown Data by Application
5.1 Global Robot Manipulation Dataset Historic Market Size by Application (2021–2026)
5.2 Global Robot Manipulation Dataset Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America Robot Manipulation Dataset Market Size (2021–2032)
6.2 North America Robot Manipulation Dataset Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America Robot Manipulation Dataset Market Size by Country (2021–2026)
6.4 North America Robot Manipulation Dataset Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Robot Manipulation Dataset Market Size (2021–2032)
7.2 Europe Robot Manipulation Dataset Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe Robot Manipulation Dataset Market Size by Country (2021–2026)
7.4 Europe Robot Manipulation Dataset Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific Robot Manipulation Dataset Market Size (2021–2032)
8.2 Asia-Pacific Robot Manipulation Dataset Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific Robot Manipulation Dataset Market Size by Region (2021–2026)
8.4 Asia-Pacific Robot Manipulation Dataset Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America Robot Manipulation Dataset Market Size (2021–2032)
9.2 Latin America Robot Manipulation Dataset Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America Robot Manipulation Dataset Market Size by Country (2021–2026)
9.4 Latin America Robot Manipulation Dataset Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Robot Manipulation Dataset Market Size (2021–2032)
10.2 Middle East & Africa Robot Manipulation Dataset Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa Robot Manipulation Dataset Market Size by Country (2021–2026)
10.4 Middle East & Africa Robot Manipulation Dataset Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google（Open X-Embodiment）
11.1.1 Google（Open X-Embodiment） Company Details
11.1.2 Google（Open X-Embodiment） Business Overview
11.1.3 Google（Open X-Embodiment） Robot Manipulation Dataset Introduction
11.1.4 Google（Open X-Embodiment） Revenue in Robot Manipulation Dataset Business (2021–2026)
11.1.5 Google（Open X-Embodiment） Recent Development
11.2 Figure AI
11.2.1 Figure AI Company Details
11.2.2 Figure AI Business Overview
11.2.3 Figure AI Robot Manipulation Dataset Introduction
11.2.4 Figure AI Revenue in Robot Manipulation Dataset Business (2021–2026)
11.2.5 Figure AI Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Details
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Robot Manipulation Dataset Introduction
11.3.4 NVIDIA Revenue in Robot Manipulation Dataset Business (2021–2026)
11.3.5 NVIDIA Recent Development
11.4 SignIQ La
11.4.1 SignIQ La Company Details
11.4.2 SignIQ La Business Overview
11.4.3 SignIQ La Robot Manipulation Dataset Introduction
11.4.4 SignIQ La Revenue in Robot Manipulation Dataset Business (2021–2026)
11.4.5 SignIQ La Recent Development
11.5 Labellerr
11.5.1 Labellerr Company Details
11.5.2 Labellerr Business Overview
11.5.3 Labellerr Robot Manipulation Dataset Introduction
11.5.4 Labellerr Revenue in Robot Manipulation Dataset Business (2021–2026)
11.5.5 Labellerr Recent Development
11.6 DROID Dataset
11.6.1 DROID Dataset Company Details
11.6.2 DROID Dataset Business Overview
11.6.3 DROID Dataset Robot Manipulation Dataset Introduction
11.6.4 DROID Dataset Revenue in Robot Manipulation Dataset Business (2021–2026)
11.6.5 DROID Dataset Recent Development
11.7 DataMesh Robotics
11.7.1 DataMesh Robotics Company Details
11.7.2 DataMesh Robotics Business Overview
11.7.3 DataMesh Robotics Robot Manipulation Dataset Introduction
11.7.4 DataMesh Robotics Revenue in Robot Manipulation Dataset Business (2021–2026)
11.7.5 DataMesh Robotics Recent Development
11.8 Roboflow
11.8.1 Roboflow Company Details
11.8.2 Roboflow Business Overview
11.8.3 Roboflow Robot Manipulation Dataset Introduction
11.8.4 Roboflow Revenue in Robot Manipulation Dataset Business (2021–2026)
11.8.5 Roboflow Recent Development
11.9 Bright Data Ltd.
11.9.1 Bright Data Ltd. Company Details
11.9.2 Bright Data Ltd. Business Overview
11.9.3 Bright Data Ltd. Robot Manipulation Dataset Introduction
11.9.4 Bright Data Ltd. Revenue in Robot Manipulation Dataset Business (2021–2026)
11.9.5 Bright Data Ltd. Recent Development
11.10 PaXiniTech
11.10.1 PaXiniTech Company Details
11.10.2 PaXiniTech Business Overview
11.10.3 PaXiniTech Robot Manipulation Dataset Introduction
11.10.4 PaXiniTech Revenue in Robot Manipulation Dataset Business (2021–2026)
11.10.5 PaXiniTech Recent Development
11.11 AgiBot
11.11.1 AgiBot Company Details
11.11.2 AgiBot Business Overview
11.11.3 AgiBot Robot Manipulation Dataset Introduction
11.11.4 AgiBot Revenue in Robot Manipulation Dataset Business (2021–2026)
11.11.5 AgiBot Recent Development
11.12 X-humanoid
11.12.1 X-humanoid Company Details
11.12.2 X-humanoid Business Overview
11.12.3 X-humanoid Robot Manipulation Dataset Introduction
11.12.4 X-humanoid Revenue in Robot Manipulation Dataset Business (2021–2026)
11.12.5 X-humanoid Recent Development
11.13 Dobot Robotics
11.13.1 Dobot Robotics Company Details
11.13.2 Dobot Robotics Business Overview
11.13.3 Dobot Robotics Robot Manipulation Dataset Introduction
11.13.4 Dobot Robotics Revenue in Robot Manipulation Dataset Business (2021–2026)
11.13.5 Dobot Robotics Recent Development
11.14 LEJU（SHENZHEN) ROBOTICS CO.LTD
11.14.1 LEJU（SHENZHEN) ROBOTICS CO.LTD Company Details
11.14.2 LEJU（SHENZHEN) ROBOTICS CO.LTD Business Overview
11.14.3 LEJU（SHENZHEN) ROBOTICS CO.LTD Robot Manipulation Dataset Introduction
11.14.4 LEJU（SHENZHEN) ROBOTICS CO.LTD Revenue in Robot Manipulation Dataset Business (2021–2026)
11.14.5 LEJU（SHENZHEN) ROBOTICS CO.LTD Recent Development
11.15 X Square Robot
11.15.1 X Square Robot Company Details
11.15.2 X Square Robot Business Overview
11.15.3 X Square Robot Robot Manipulation Dataset Introduction
11.15.4 X Square Robot Revenue in Robot Manipulation Dataset Business (2021–2026)
11.15.5 X Square Robot Recent Development
11.16 Beijing Galbot Co, Ltd.
11.16.1 Beijing Galbot Co, Ltd. Company Details
11.16.2 Beijing Galbot Co, Ltd. Business Overview
11.16.3 Beijing Galbot Co, Ltd. Robot Manipulation Dataset Introduction
11.16.4 Beijing Galbot Co, Ltd. Revenue in Robot Manipulation Dataset Business (2021–2026)
11.16.5 Beijing Galbot Co, Ltd. Recent Development
11.17 Fourier
11.17.1 Fourier Company Details
11.17.2 Fourier Business Overview
11.17.3 Fourier Robot Manipulation Dataset Introduction
11.17.4 Fourier Revenue in Robot Manipulation Dataset Business (2021–2026)
11.17.5 Fourier Recent Development
11.18 IO-AI
11.18.1 IO-AI Company Details
11.18.2 IO-AI Business Overview
11.18.3 IO-AI Robot Manipulation Dataset Introduction
11.18.4 IO-AI Revenue in Robot Manipulation Dataset Business (2021–2026)
11.18.5 IO-AI Recent Development
11.19 Peng Cheng Laboratory
11.19.1 Peng Cheng Laboratory Company Details
11.19.2 Peng Cheng Laboratory Business Overview
11.19.3 Peng Cheng Laboratory Robot Manipulation Dataset Introduction
11.19.4 Peng Cheng Laboratory Revenue in Robot Manipulation Dataset Business (2021–2026)
11.19.5 Peng Cheng Laboratory Recent Development
11.20 Unitree Robotics
11.20.1 Unitree Robotics Company Details
11.20.2 Unitree Robotics Business Overview
11.20.3 Unitree Robotics Robot Manipulation Dataset Introduction
11.20.4 Unitree Robotics Revenue in Robot Manipulation Dataset Business (2021–2026)
11.20.5 Unitree Robotics Recent Development
11.21 Appen
11.21.1 Appen Company Details
11.21.2 Appen Business Overview
11.21.3 Appen Robot Manipulation Dataset Introduction
11.21.4 Appen Revenue in Robot Manipulation Dataset Business (2021–2026)
11.21.5 Appen Recent Development
11.22 GalaXea AI
11.22.1 GalaXea AI Company Details
11.22.2 GalaXea AI Business Overview
11.22.3 GalaXea AI Robot Manipulation Dataset Introduction
11.22.4 GalaXea AI Revenue in Robot Manipulation Dataset Business (2021–2026)
11.22.5 GalaXea AI Recent Development
11.23 Beijing Galbot Co.,Ltd.
11.23.1 Beijing Galbot Co.,Ltd. Company Details
11.23.2 Beijing Galbot Co.,Ltd. Business Overview
11.23.3 Beijing Galbot Co.,Ltd. Robot Manipulation Dataset Introduction
11.23.4 Beijing Galbot Co.,Ltd. Revenue in Robot Manipulation Dataset Business (2021–2026)
11.23.5 Beijing Galbot Co.,Ltd. Recent Development
11.24 RealMan Group
11.24.1 RealMan Group Company Details
11.24.2 RealMan Group Business Overview
11.24.3 RealMan Group Robot Manipulation Dataset Introduction
11.24.4 RealMan Group Revenue in Robot Manipulation Dataset Business (2021–2026)
11.24.5 RealMan Group Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
List of Tables
Table 1. Global Robot Manipulation Dataset Market Size Growth Rate by Type (US$ Million): 2021 vs 2025 vs 2032
Table 2. Key Players of Real Machine Data
Table 3. Key Players of Simulation Data
Table 4. Global Robot Manipulation Dataset Market Size Growth Rate by Business Model (US$ Million): 2021 vs 2025 vs 2032
Table 5. Key Players of Data Set Sales
Table 6. Key Players of Data Value-added Services (Data Collection)
Table 7. Global Robot Manipulation Dataset Market Size Growth Rate by Fee (US$ Million): 2021 vs 2025 vs 2032
Table 8. Key Players of Open Source
Table 9. Key Players of Paid
Table 10. Global Robot Manipulation Dataset Market Size Growth by Application (US$ Million): 2021 vs 2025 vs 2032
Table 11. Global Robot Manipulation Dataset Market Size by Region (US$ Million): 2021 vs 2025 vs 2032
Table 12. Global Robot Manipulation Dataset Market Size by Region (US$ Million), 2021–2026
Table 13. Global Robot Manipulation Dataset Market Share by Region (2021–2026)
Table 14. Global Robot Manipulation Dataset Forecasted Market Size by Region (US$ Million), 2027–2032
Table 15. Global Robot Manipulation Dataset Market Share by Region (2027–2032)
Table 16. Robot Manipulation Dataset Market Trends
Table 17. Robot Manipulation Dataset Market Drivers
Table 18. Robot Manipulation Dataset Market Challenges
Table 19. Robot Manipulation Dataset Market Restraints
Table 20. Global Robot Manipulation Dataset Revenue by Players (US$ Million), 2021–2026
Table 21. Global Robot Manipulation Dataset Market Share by Players (2021–2026)
Table 22. Global Top Robot Manipulation Dataset Players by Tier (Tier 1, Tier 2, and Tier 3), based on Robot Manipulation Dataset Revenue, 2025
Table 23. Ranking of Global Top Robot Manipulation Dataset Companies by Revenue (US$ Million) in 2025
Table 24. Global 5 Largest Players Market Share by Robot Manipulation Dataset Revenue (CR5 and HHI), 2021–2026
Table 25. Global Key Players of Robot Manipulation Dataset, Headquarters and Area Served
Table 26. Global Key Players of Robot Manipulation Dataset, Products and Applications
Table 27. Global Key Players of Robot Manipulation Dataset, Date of General Availability (GA)
Table 28. Mergers and Acquisitions, Expansion Plans
Table 29. Global Robot Manipulation Dataset Market Size by Type (US$ Million), 2021–2026
Table 30. Global Robot Manipulation Dataset Revenue Market Share by Type (2021–2026)
Table 31. Global Robot Manipulation Dataset Forecasted Market Size by Type (US$ Million), 2027–2032
Table 32. Global Robot Manipulation Dataset Revenue Market Share by Type (2027–2032)
Table 33. Global Robot Manipulation Dataset Market Size by Application (US$ Million), 2021–2026
Table 34. Global Robot Manipulation Dataset Revenue Market Share by Application (2021–2026)
Table 35. Global Robot Manipulation Dataset Forecasted Market Size by Application (US$ Million), 2027–2032
Table 36. Global Robot Manipulation Dataset Revenue Market Share by Application (2027–2032)
Table 37. North America Robot Manipulation Dataset Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 38. North America Robot Manipulation Dataset Market Size by Country (US$ Million), 2021–2026
Table 39. North America Robot Manipulation Dataset Market Size by Country (US$ Million), 2027–2032
Table 40. Europe Robot Manipulation Dataset Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 41. Europe Robot Manipulation Dataset Market Size by Country (US$ Million), 2021–2026
Table 42. Europe Robot Manipulation Dataset Market Size by Country (US$ Million), 2027–2032
Table 43. Asia-Pacific Robot Manipulation Dataset Market Size Growth Rate by Region (US$ Million): 2021 vs 2025 vs 2032
Table 44. Asia-Pacific Robot Manipulation Dataset Market Size by Region (US$ Million), 2021–2026
Table 45. Asia-Pacific Robot Manipulation Dataset Market Size by Region (US$ Million), 2027–2032
Table 46. Latin America Robot Manipulation Dataset Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 47. Latin America Robot Manipulation Dataset Market Size by Country (US$ Million), 2021–2026
Table 48. Latin America Robot Manipulation Dataset Market Size by Country (US$ Million), 2027–2032
Table 49. Middle East & Africa Robot Manipulation Dataset Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 50. Middle East & Africa Robot Manipulation Dataset Market Size by Country (US$ Million), 2021–2026
Table 51. Middle East & Africa Robot Manipulation Dataset Market Size by Country (US$ Million), 2027–2032
Table 52. Google（Open X-Embodiment） Company Details
Table 53. Google（Open X-Embodiment） Business Overview
Table 54. Google（Open X-Embodiment） Robot Manipulation Dataset Product
Table 55. Google（Open X-Embodiment） Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 56. Google（Open X-Embodiment） Recent Development
Table 57. Figure AI Company Details
Table 58. Figure AI Business Overview
Table 59. Figure AI Robot Manipulation Dataset Product
Table 60. Figure AI Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 61. Figure AI Recent Development
Table 62. NVIDIA Company Details
Table 63. NVIDIA Business Overview
Table 64. NVIDIA Robot Manipulation Dataset Product
Table 65. NVIDIA Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 66. NVIDIA Recent Development
Table 67. SignIQ La Company Details
Table 68. SignIQ La Business Overview
Table 69. SignIQ La Robot Manipulation Dataset Product
Table 70. SignIQ La Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 71. SignIQ La Recent Development
Table 72. Labellerr Company Details
Table 73. Labellerr Business Overview
Table 74. Labellerr Robot Manipulation Dataset Product
Table 75. Labellerr Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 76. Labellerr Recent Development
Table 77. DROID Dataset Company Details
Table 78. DROID Dataset Business Overview
Table 79. DROID Dataset Robot Manipulation Dataset Product
Table 80. DROID Dataset Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 81. DROID Dataset Recent Development
Table 82. DataMesh Robotics Company Details
Table 83. DataMesh Robotics Business Overview
Table 84. DataMesh Robotics Robot Manipulation Dataset Product
Table 85. DataMesh Robotics Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 86. DataMesh Robotics Recent Development
Table 87. Roboflow Company Details
Table 88. Roboflow Business Overview
Table 89. Roboflow Robot Manipulation Dataset Product
Table 90. Roboflow Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 91. Roboflow Recent Development
Table 92. Bright Data Ltd. Company Details
Table 93. Bright Data Ltd. Business Overview
Table 94. Bright Data Ltd. Robot Manipulation Dataset Product
Table 95. Bright Data Ltd. Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 96. Bright Data Ltd. Recent Development
Table 97. PaXiniTech Company Details
Table 98. PaXiniTech Business Overview
Table 99. PaXiniTech Robot Manipulation Dataset Product
Table 100. PaXiniTech Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 101. PaXiniTech Recent Development
Table 102. AgiBot Company Details
Table 103. AgiBot Business Overview
Table 104. AgiBot Robot Manipulation Dataset Product
Table 105. AgiBot Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 106. AgiBot Recent Development
Table 107. X-humanoid Company Details
Table 108. X-humanoid Business Overview
Table 109. X-humanoid Robot Manipulation Dataset Product
Table 110. X-humanoid Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 111. X-humanoid Recent Development
Table 112. Dobot Robotics Company Details
Table 113. Dobot Robotics Business Overview
Table 114. Dobot Robotics Robot Manipulation Dataset Product
Table 115. Dobot Robotics Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 116. Dobot Robotics Recent Development
Table 117. LEJU（SHENZHEN) ROBOTICS CO.LTD Company Details
Table 118. LEJU（SHENZHEN) ROBOTICS CO.LTD Business Overview
Table 119. LEJU（SHENZHEN) ROBOTICS CO.LTD Robot Manipulation Dataset Product
Table 120. LEJU（SHENZHEN) ROBOTICS CO.LTD Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 121. LEJU（SHENZHEN) ROBOTICS CO.LTD Recent Development
Table 122. X Square Robot Company Details
Table 123. X Square Robot Business Overview
Table 124. X Square Robot Robot Manipulation Dataset Product
Table 125. X Square Robot Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 126. X Square Robot Recent Development
Table 127. Beijing Galbot Co, Ltd. Company Details
Table 128. Beijing Galbot Co, Ltd. Business Overview
Table 129. Beijing Galbot Co, Ltd. Robot Manipulation Dataset Product
Table 130. Beijing Galbot Co, Ltd. Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 131. Beijing Galbot Co, Ltd. Recent Development
Table 132. Fourier Company Details
Table 133. Fourier Business Overview
Table 134. Fourier Robot Manipulation Dataset Product
Table 135. Fourier Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 136. Fourier Recent Development
Table 137. IO-AI Company Details
Table 138. IO-AI Business Overview
Table 139. IO-AI Robot Manipulation Dataset Product
Table 140. IO-AI Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 141. IO-AI Recent Development
Table 142. Peng Cheng Laboratory Company Details
Table 143. Peng Cheng Laboratory Business Overview
Table 144. Peng Cheng Laboratory Robot Manipulation Dataset Product
Table 145. Peng Cheng Laboratory Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 146. Peng Cheng Laboratory Recent Development
Table 147. Unitree Robotics Company Details
Table 148. Unitree Robotics Business Overview
Table 149. Unitree Robotics Robot Manipulation Dataset Product
Table 150. Unitree Robotics Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 151. Unitree Robotics Recent Development
Table 152. Appen Company Details
Table 153. Appen Business Overview
Table 154. Appen Robot Manipulation Dataset Product
Table 155. Appen Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 156. Appen Recent Development
Table 157. GalaXea AI Company Details
Table 158. GalaXea AI Business Overview
Table 159. GalaXea AI Robot Manipulation Dataset Product
Table 160. GalaXea AI Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 161. GalaXea AI Recent Development
Table 162. Beijing Galbot Co.,Ltd. Company Details
Table 163. Beijing Galbot Co.,Ltd. Business Overview
Table 164. Beijing Galbot Co.,Ltd. Robot Manipulation Dataset Product
Table 165. Beijing Galbot Co.,Ltd. Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 166. Beijing Galbot Co.,Ltd. Recent Development
Table 167. RealMan Group Company Details
Table 168. RealMan Group Business Overview
Table 169. RealMan Group Robot Manipulation Dataset Product
Table 170. RealMan Group Revenue in Robot Manipulation Dataset Business (US$ Million), 2021–2026
Table 171. RealMan Group Recent Development
Table 172. Research Programs/Design for This Report
Table 173. Key Data Information from Secondary Sources
Table 174. Key Data Information from Primary Sources
Table 175. Authors List of This Report
List of Figures
Figure 1. Robot Manipulation Dataset Picture
Figure 2. Global Robot Manipulation Dataset Market Size Comparison by Type (US$ Million), 2021–2032
Figure 3. Global Robot Manipulation Dataset Market Share by Type: 2025 vs 2032
Figure 4. Real Machine Data Features
Figure 5. Simulation Data Features
Figure 6. Global Robot Manipulation Dataset Market Size Comparison by Business Model (US$ Million), 2021–2032
Figure 7. Data Set Sales Features
Figure 8. Data Value-added Services (Data Collection) Features
Figure 9. Global Robot Manipulation Dataset Market Size Comparison by Fee (US$ Million), 2021–2032
Figure 10. Open Source Features
Figure 11. Paid Features
Figure 12. Global Robot Manipulation Dataset Market Size by Application (US$ Million), 2021–2032
Figure 13. Global Robot Manipulation Dataset Market Share by Application: 2025 vs 2032
Figure 14. Logistics Scenarios Case Studies
Figure 15. Life Service Scenarios Case Studies
Figure 16. 3C Factory; Case Studies
Figure 17. Hotel Service Case Studies
Figure 18. Fast-moving Consumer Goods Scenarios Case Studies
Figure 19. Automobile Factory Case Studies
Figure 20. Robot Manipulation Dataset Report Years Considered
Figure 21. Global Robot Manipulation Dataset Market Size (US$ Million), Year-over-Year: 2021–2032
Figure 22. Global Robot Manipulation Dataset Market Size, (US$ Million), 2021 vs 2025 vs 2032
Figure 23. Global Robot Manipulation Dataset Market Share by Region: 2025 vs 2032
Figure 24. Global Robot Manipulation Dataset Market Share by Players in 2025
Figure 25. Global Robot Manipulation Dataset Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
Figure 26. The Top 10 and 5 Players Market Share by Robot Manipulation Dataset Revenue in 2025
Figure 27. North America Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 28. North America Robot Manipulation Dataset Market Share by Country (2021–2032)
Figure 29. United States Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 30. Canada Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 31. Europe Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 32. Europe Robot Manipulation Dataset Market Share by Country (2021–2032)
Figure 33. Germany Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 34. France Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 35. U.K. Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 36. Italy Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 37. Russia Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 38. Ireland Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 39. Asia-Pacific Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 40. Asia-Pacific Robot Manipulation Dataset Market Share by Region (2021–2032)
Figure 41. China Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 42. Japan Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 43. South Korea Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 44. Southeast Asia Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 45. India Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 46. Australia & New Zealand Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 47. Latin America Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 48. Latin America Robot Manipulation Dataset Market Share by Country (2021–2032)
Figure 49. Mexico Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 50. Brazil Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 51. Middle East & Africa Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 52. Middle East & Africa Robot Manipulation Dataset Market Share by Country (2021–2032)
Figure 53. Israel Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 54. Saudi Arabia Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 55. UAE Robot Manipulation Dataset Market Size YoY Growth (US$ Million), 2021–2032
Figure 56. Google（Open X-Embodiment） Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 57. Figure AI Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 58. NVIDIA Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 59. SignIQ La Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 60. Labellerr Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 61. DROID Dataset Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 62. DataMesh Robotics Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 63. Roboflow Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 64. Bright Data Ltd. Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 65. PaXiniTech Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 66. AgiBot Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 67. X-humanoid Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 68. Dobot Robotics Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 69. LEJU（SHENZHEN) ROBOTICS CO.LTD Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 70. X Square Robot Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 71. Beijing Galbot Co, Ltd. Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 72. Fourier Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 73. IO-AI Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 74. Peng Cheng Laboratory Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 75. Unitree Robotics Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 76. Appen Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 77. GalaXea AI Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 78. Beijing Galbot Co.,Ltd. Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 79. RealMan Group Revenue Growth Rate in Robot Manipulation Dataset Business (2021–2026)
Figure 80. Bottom-up and Top-down Approaches for This Report
Figure 81. Data Triangulation
Figure 82. Key Executives Interviewed
