Industry: Service & Software
Published Date: 2026-03-09
Pages: 82 Pages
Report ld: 6090815
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Embodied Intelligent Data Collection Factory Market Size(US$)

CAGR 2026-2032
36.8%
Market Size,2032
USD 8,989
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Embodied Intelligent Data Collection Factory was estimated to be worth US$ 1030 million in 2025 and is projected to reach US$ 8989 million, growing at a CAGR of 36.8% from 2026 to 2032.
With the development of large models and robotics, embodied AI gives artificial intelligence systems a physical form to interact with and learn from the environment. From motion programming to human teleoperation, from robotic arms to dexterous hands, embodied intelligence has gradually established a development paradigm at the software and hardware levels. Drawing on the path of the development of self-driving cars, data is also crucial to embodied intelligence. Data not only serves as "fuel" to drive the intelligent body to perceive and understand the environment, but also helps build environmental models and predict changes through multimodal sensors (such as vision, hearing, and touch), enabling the intelligent body to perform situational awareness and predictive maintenance based on historical data, thereby making better decisions. Building high-quality and diverse perception data sets is an indispensable basic work. These data sets not only provide rich materials for algorithm training, but also become a benchmark reference standard for evaluating embodied performance. The embodied intelligence data collection factory is a base for providing data training and support for embodied intelligent robots. At present, many domestic companies have deployed embodied intelligence data collection factories, among which the more well-known ones are Pasini's factory in Tianjin, Zhiyuan Robot's factory in Shanghai, and the factory of the Embodied Intelligence Robot Innovation Center in Beijing. Through large-scale data collection and model training, these factories aim to address the lack of high-quality data sets in the development of embodied intelligence and provide strong data support for the robotics industry. 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 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. Data acquisition factories are industrial infrastructure, addressing the "data hunger" problem of embodied intelligence. Their value lies in lowering the data acquisition threshold and promoting technology popularization. Datasets are the fuel for model training, directly affecting the robot's intelligence level.
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 essential for the embodied intelligence industry. Currently, embodied intelligence bodies take many forms, and application scenarios vary widely, leading to more diverse demands for 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 indispensable foundational work. These datasets not only provide rich material for algorithm training but also serve as benchmarks for evaluating embodied performance.
This report provides a comprehensive view of the global market for Embodied Intelligent Data Collection Factory, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Embodied Intelligent Data Collection Factory market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Embodied Intelligent Data Collection Factory.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Embodied Intelligent Data Collection Factory companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Embodied Intelligent Data Collection Factory revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Embodied Intelligent Data Collection Factory revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
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TABLE OF CONTENTS
1 Market Overview
1.1 Embodied Intelligent Data Collection Factory Product Introduction
1.2 Global Embodied Intelligent Data Collection Factory Market Size Forecast (2021–2032)
1.3 Embodied Intelligent Data Collection Factory Market Trends & Drivers
1.3.1 Embodied Intelligent Data Collection Factory Industry Trends
1.3.2 Embodied Intelligent Data Collection Factory Market Drivers & Opportunities
1.3.3 Embodied Intelligent Data Collection Factory Market Challenges
1.3.4 Embodied Intelligent Data Collection Factory Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Embodied Intelligent Data Collection Factory Players Revenue Ranking (2025)
2.2 Global Embodied Intelligent Data Collection Factory Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Embodied Intelligent Data Collection Factory Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Embodied Intelligent Data Collection Factory
2.6 Embodied Intelligent Data Collection Factory Market Competitive Analysis
2.6.1 Embodied Intelligent Data Collection Factory Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Embodied Intelligent Data Collection Factory Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Embodied Intelligent Data Collection Factory revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Embodied Intelligent Data Collection Factory Market Classification
3.1 Introduction by Type
3.1.1 Data Set Sales
3.1.2 Data Value-added Services
3.1.3 Global Embodied Intelligent Data Collection Factory Sales Value by Type
3.1.3.1 Global Embodied Intelligent Data Collection Factory Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global Embodied Intelligent Data Collection Factory Sales Value, by Type (2021–2032)
3.1.3.3 Global Embodied Intelligent Data Collection Factory Sales Value, by Type (%), 2021–2032
3.2 Introduction by Data Properties
3.2.1 Simulation Data
3.2.2 Simulation Data & Real Machine Data
3.2.3 Real Machine Data
3.2.4 Global Embodied Intelligent Data Collection Factory Sales Value by Data Properties
3.2.4.1 Global Embodied Intelligent Data Collection Factory Sales Value by Data Properties (2021 vs 2025 vs 2032)
3.2.4.2 Global Embodied Intelligent Data Collection Factory Sales Value, by Data Properties (2021–2032)
3.2.4.3 Global Embodied Intelligent Data Collection Factory Sales Value, by Data Properties (%), 2021–2032
3.3 Introduction by Data Type
3.3.1 Industrial Data
3.3.2 Service Data
3.3.3 Global Embodied Intelligent Data Collection Factory Sales Value by Data Type
3.3.3.1 Global Embodied Intelligent Data Collection Factory Sales Value by Data Type (2021 vs 2025 vs 2032)
3.3.3.2 Global Embodied Intelligent Data Collection Factory Sales Value, by Data Type (2021–2032)
3.3.3.3 Global Embodied Intelligent Data Collection Factory Sales Value, by Data Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Industrial Manufacturing
4.1.2 Autonomous Driving
4.1.3 Logistics & Transportation
4.1.4 Home Services
4.1.5 Healthcare & Wellness
4.1.6 Others
4.2 Global Embodied Intelligent Data Collection Factory Sales Value by Application
4.2.1 Global Embodied Intelligent Data Collection Factory Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Embodied Intelligent Data Collection Factory Sales Value by Application (2021–2032)
4.2.3 Global Embodied Intelligent Data Collection Factory Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Embodied Intelligent Data Collection Factory Sales Value by Region
5.1.1 Global Embodied Intelligent Data Collection Factory Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Embodied Intelligent Data Collection Factory Sales Value by Region (2021–2026)
5.1.3 Global Embodied Intelligent Data Collection Factory Sales Value by Region (2027–2032)
5.1.4 Global Embodied Intelligent Data Collection Factory Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
5.2.2 North America Embodied Intelligent Data Collection Factory Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
5.3.2 Europe Embodied Intelligent Data Collection Factory Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
5.4.2 Asia Pacific Embodied Intelligent Data Collection Factory Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
5.5.2 South America Embodied Intelligent Data Collection Factory Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
5.6.2 Middle East & Africa Embodied Intelligent Data Collection Factory Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Embodied Intelligent Data Collection Factory Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.3 United States
6.3.1 United States Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.3.2 United States Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.4.2 Europe Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.5.2 China Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.5.3 China Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.6.2 Japan Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.7.2 South Korea Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.8.2 Southeast Asia Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Embodied Intelligent Data Collection Factory Sales Value, 2021–2032
6.9.2 India Embodied Intelligent Data Collection Factory Sales Value by Type (%), 2025 vs 2032
6.9.3 India Embodied Intelligent Data Collection Factory Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Google Deepmind
7.1.1 Google Deepmind Profile
7.1.2 Google Deepmind Main Business
7.1.3 Google Deepmind Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.1.4 Google Deepmind Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.1.5 Google Deepmind Recent Developments
7.2 PaXiniTech
7.2.1 PaXiniTech Profile
7.2.2 PaXiniTech Main Business
7.2.3 PaXiniTech Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.2.4 PaXiniTech Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.2.5 PaXiniTech Recent Developments
7.3 AgiBot
7.3.1 AgiBot Profile
7.3.2 AgiBot Main Business
7.3.3 AgiBot Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.3.4 AgiBot Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.3.5 AgiBot Recent Developments
7.4 X-humanoid
7.4.1 X-humanoid Profile
7.4.2 X-humanoid Main Business
7.4.3 X-humanoid Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.4.4 X-humanoid Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.4.5 X-humanoid Recent Developments
7.5 Dobot Robotics
7.5.1 Dobot Robotics Profile
7.5.2 Dobot Robotics Main Business
7.5.3 Dobot Robotics Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.5.4 Dobot Robotics Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.5.5 Dobot Robotics Recent Developments
7.6 LEJU(SHENZHEN) ROBOTICS CO.LTD
7.6.1 LEJU(SHENZHEN) ROBOTICS CO.LTD Profile
7.6.2 LEJU(SHENZHEN) ROBOTICS CO.LTD Main Business
7.6.3 LEJU(SHENZHEN) ROBOTICS CO.LTD Embodied Intelligent Data Collection Factory Products, Services, and Solutions
7.6.4 LEJU(SHENZHEN) ROBOTICS CO.LTD Embodied Intelligent Data Collection Factory Revenue (US$ Million), 2021–2026
7.6.5 LEJU(SHENZHEN) ROBOTICS CO.LTD Recent Developments
8 Industry Chain Analysis
8.1 Embodied Intelligent Data Collection Factory Value Chain
8.2 Embodied Intelligent Data Collection Factory Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Embodied Intelligent Data Collection Factory Sales Model
8.5.2 Sales Channels
8.5.3 Embodied Intelligent Data Collection Factory Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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Published: 2026-03-12
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Published: 2026-03-12
Pages: 77
The global Embodied Intelligent Data Collection Factory market was valued at US$ 1030 million in 2025 and is anticipated to reach US$ 8989 million by 2032, at a CAGR of 36.8% from 2026 to 2032.
Published: 2026-03-12
Pages: 108
The global Embodied Intelligent Data Collection Factory market is projected to grow from US$ 753 million in 2024 to US$ 6752 million by 2031, at a CAGR of 36.8% (2025-2031), driven by critical product segments and diverse end‑use applications.
Published: 2025-11-13
Pages: 130
The global market for Embodied Intelligent Data Collection Factory was estimated to be worth US$ 753 million in 2024 and is forecast to a readjusted size of US$ 6752 million by 2031 with a CAGR of 36.8% during the forecast period 2025-2031.
Published: 2025-11-13
Pages: 91
The global market for Embodied Intelligent Data Collection Factory was valued at US$ 753 million in the year 2024 and is projected to reach a revised size of US$ 6752 million by 2031, growing at a CAGR of 36.8% during the forecast period.
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The global Embodied Intelligent Data Collection Factory market size was US$ 753 million in 2024 and is forecast to a readjusted size of US$ 6752 million by 2031 with a CAGR of 36.8% during the forecast period 2025-2031.
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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