The market is expected to witness a surge in the adoption of the technology owing to benefits such as extracting business insights from socially shared pictures and auto-organizing untagged photo collections. Also, it helps in offering enhanced safety features in autonomous vehicles, such as emergency vehicle detection, terrain detection, wear detection, and condition monitoring. Machine learning, powered by data collection, has been embedded in several fields, such as robotics and drones, automated image organization of visual websites, and face identification on social networking websites. One of the most popular data collection applications is social media monitoring, as visual listening and visual analytics are the essential factors of digital marketing. Also, this technology is highly used in applications related to safety and security, such as data collection for facial recognition used by law enforcement agencies.
The global market for Data Collection and Labelling was estimated to be worth US$ 2577 million in 2023 and is forecast to a readjusted size of US$ 11030 million by 2030 with a CAGR of 23.5% during the forecast period 2024-2030
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services. China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/20 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Collection and Labelling, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Collection and Labelling by region & country, by Type, and by Application.
The Data Collection and Labelling market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Collection and Labelling.
Market Segmentation
By Company
Reality AI
Global Technology Solutions
Globalme Localization
Alegion
Dobility
Labelbox
Scale AI
Trilldata Technologies
Playment
Segment by Type:
Text
Image or Video
Audio
Segment by Application
IT
Government
Automotive
BFSI
Healthcare
Retail and E-commerce
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Collection and Labelling manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, 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 by 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: Revenue of Data Collection and Labelling in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Collection and Labelling in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Data Collection and Labelling Product Introduction
1.2 Global Data Collection and Labelling Market Size Forecast
1.3 Data Collection and Labelling Market Trends & Drivers
1.3.1 Data Collection and Labelling Industry Trends
1.3.2 Data Collection and Labelling Market Drivers & Opportunity
1.3.3 Data Collection and Labelling Market Challenges
1.3.4 Data Collection and Labelling Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Collection and Labelling Players Revenue Ranking (2023)
2.2 Global Data Collection and Labelling Revenue by Company (2019-2024)
2.3 Key Companies Data Collection and Labelling Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Collection and Labelling Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Collection and Labelling
2.6 Data Collection and Labelling Market Competitive Analysis
2.6.1 Data Collection and Labelling Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Collection and Labelling Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Collection and Labelling as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Text
3.1.2 Image or Video
3.1.3 Audio
3.2 Global Data Collection and Labelling Sales Value by Type
3.2.1 Global Data Collection and Labelling Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Collection and Labelling Sales Value, by Type (2019-2030)
3.2.3 Global Data Collection and Labelling Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 IT
4.1.2 Government
4.1.3 Automotive
4.1.4 BFSI
4.1.5 Healthcare
4.1.6 Retail and E-commerce
4.1.7 Others
4.2 Global Data Collection and Labelling Sales Value by Application
4.2.1 Global Data Collection and Labelling Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Collection and Labelling Sales Value, by Application (2019-2030)
4.2.3 Global Data Collection and Labelling Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Collection and Labelling Sales Value by Region
5.1.1 Global Data Collection and Labelling Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Collection and Labelling Sales Value by Region (2019-2024)
5.1.3 Global Data Collection and Labelling Sales Value by Region (2025-2030)
5.1.4 Global Data Collection and Labelling Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Collection and Labelling Sales Value, 2019-2030
5.2.2 North America Data Collection and Labelling Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Collection and Labelling Sales Value, 2019-2030
5.3.2 Europe Data Collection and Labelling Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Collection and Labelling Sales Value, 2019-2030
5.4.2 Asia Pacific Data Collection and Labelling Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Collection and Labelling Sales Value, 2019-2030
5.5.2 South America Data Collection and Labelling Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Collection and Labelling Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Collection and Labelling Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Collection and Labelling Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Collection and Labelling Sales Value
6.3 United States
6.3.1 United States Data Collection and Labelling Sales Value, 2019-2030
6.3.2 United States Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Collection and Labelling Sales Value, 2019-2030
6.4.2 Europe Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Collection and Labelling Sales Value, 2019-2030
6.5.2 China Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Collection and Labelling Sales Value, 2019-2030
6.6.2 Japan Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Collection and Labelling Sales Value, 2019-2030
6.7.2 South Korea Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Collection and Labelling Sales Value, 2019-2030
6.8.2 Southeast Asia Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Collection and Labelling Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Collection and Labelling Sales Value, 2019-2030
6.9.2 India Data Collection and Labelling Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Collection and Labelling Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Reality AI
7.1.1 Reality AI Profile
7.1.2 Reality AI Main Business
7.1.3 Reality AI Data Collection and Labelling Products, Services and Solutions
7.1.4 Reality AI Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.1.5 Reality AI Recent Developments
7.2 Global Technology Solutions
7.2.1 Global Technology Solutions Profile
7.2.2 Global Technology Solutions Main Business
7.2.3 Global Technology Solutions Data Collection and Labelling Products, Services and Solutions
7.2.4 Global Technology Solutions Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.2.5 Global Technology Solutions Recent Developments
7.3 Globalme Localization
7.3.1 Globalme Localization Profile
7.3.2 Globalme Localization Main Business
7.3.3 Globalme Localization Data Collection and Labelling Products, Services and Solutions
7.3.4 Globalme Localization Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.3.5 Alegion Recent Developments
7.4 Alegion
7.4.1 Alegion Profile
7.4.2 Alegion Main Business
7.4.3 Alegion Data Collection and Labelling Products, Services and Solutions
7.4.4 Alegion Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.4.5 Alegion Recent Developments
7.5 Dobility
7.5.1 Dobility Profile
7.5.2 Dobility Main Business
7.5.3 Dobility Data Collection and Labelling Products, Services and Solutions
7.5.4 Dobility Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.5.5 Dobility Recent Developments
7.6 Labelbox
7.6.1 Labelbox Profile
7.6.2 Labelbox Main Business
7.6.3 Labelbox Data Collection and Labelling Products, Services and Solutions
7.6.4 Labelbox Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.6.5 Labelbox Recent Developments
7.7 Scale AI
7.7.1 Scale AI Profile
7.7.2 Scale AI Main Business
7.7.3 Scale AI Data Collection and Labelling Products, Services and Solutions
7.7.4 Scale AI Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.7.5 Scale AI Recent Developments
7.8 Trilldata Technologies
7.8.1 Trilldata Technologies Profile
7.8.2 Trilldata Technologies Main Business
7.8.3 Trilldata Technologies Data Collection and Labelling Products, Services and Solutions
7.8.4 Trilldata Technologies Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.8.5 Trilldata Technologies Recent Developments
7.9 Playment
7.9.1 Playment Profile
7.9.2 Playment Main Business
7.9.3 Playment Data Collection and Labelling Products, Services and Solutions
7.9.4 Playment Data Collection and Labelling Revenue (US$ Million) & (2019-2024)
7.9.5 Playment Recent Developments
8 Industry Chain Analysis
8.1 Data Collection and Labelling Industrial Chain
8.2 Data Collection and Labelling Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Collection and Labelling Sales Model
8.5.2 Sales Channel
8.5.3 Data Collection and Labelling Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Reality AI
Global Technology Solutions
Globalme Localization
Alegion
Dobility
Labelbox
Scale AI
Trilldata Technologies
Playment
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*If Applicable.
