
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 Data Collection and Labelling market was valued at US$ 2577 million in 2023 and is anticipated to reach US$ 11030 million by 2030, witnessing 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 €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$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services. China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/20 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Data Collection and Labelling, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Collection and Labelling.
Report Scope
The Data Collection and Labelling market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Collection and Labelling market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Collection and Labelling companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 2: 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 3: Detailed analysis of Data Collection and Labelling companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Collection and Labelling Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Text
1.2.3 Image or Video
1.2.4 Audio
1.3 Market by Application
1.3.1 Global Data Collection and Labelling Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 IT
1.3.3 Government
1.3.4 Automotive
1.3.5 BFSI
1.3.6 Healthcare
1.3.7 Retail and E-commerce
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Collection and Labelling Market Perspective (2019-2030)
2.2 Data Collection and Labelling Growth Trends by Region
2.2.1 Global Data Collection and Labelling Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Collection and Labelling Historic Market Size by Region (2019-2024)
2.2.3 Data Collection and Labelling Forecasted Market Size by Region (2025-2030)
2.3 Data Collection and Labelling Market Dynamics
2.3.1 Data Collection and Labelling Industry Trends
2.3.2 Data Collection and Labelling Market Drivers
2.3.3 Data Collection and Labelling Market Challenges
2.3.4 Data Collection and Labelling Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Collection and Labelling Players by Revenue
3.1.1 Global Top Data Collection and Labelling Players by Revenue (2019-2024)
3.1.2 Global Data Collection and Labelling Revenue Market Share by Players (2019-2024)
3.2 Global Data Collection and Labelling Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Collection and Labelling Revenue
3.4 Global Data Collection and Labelling Market Concentration Ratio
3.4.1 Global Data Collection and Labelling Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Collection and Labelling Revenue in 2023
3.5 Data Collection and Labelling Key Players Head office and Area Served
3.6 Key Players Data Collection and Labelling Product Solution and Service
3.7 Date of Enter into Data Collection and Labelling Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Collection and Labelling Breakdown Data by Type
4.1 Global Data Collection and Labelling Historic Market Size by Type (2019-2024)
4.2 Global Data Collection and Labelling Forecasted Market Size by Type (2025-2030)
5 Data Collection and Labelling Breakdown Data by Application
5.1 Global Data Collection and Labelling Historic Market Size by Application (2019-2024)
5.2 Global Data Collection and Labelling Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Collection and Labelling Market Size (2019-2030)
6.2 North America Data Collection and Labelling Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Collection and Labelling Market Size by Country (2019-2024)
6.4 North America Data Collection and Labelling Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Collection and Labelling Market Size (2019-2030)
7.2 Europe Data Collection and Labelling Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Collection and Labelling Market Size by Country (2019-2024)
7.4 Europe Data Collection and Labelling Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Collection and Labelling Market Size (2019-2030)
8.2 Asia-Pacific Data Collection and Labelling Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Collection and Labelling Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Collection and Labelling Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Collection and Labelling Market Size (2019-2030)
9.2 Latin America Data Collection and Labelling Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Collection and Labelling Market Size by Country (2019-2024)
9.4 Latin America Data Collection and Labelling Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Collection and Labelling Market Size (2019-2030)
10.2 Middle East & Africa Data Collection and Labelling Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Collection and Labelling Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Collection and Labelling Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Reality AI
11.1.1 Reality AI Company Detail
11.1.2 Reality AI Business Overview
11.1.3 Reality AI Data Collection and Labelling Introduction
11.1.4 Reality AI Revenue in Data Collection and Labelling Business (2019-2024)
11.1.5 Reality AI Recent Development
11.2 Global Technology Solutions
11.2.1 Global Technology Solutions Company Detail
11.2.2 Global Technology Solutions Business Overview
11.2.3 Global Technology Solutions Data Collection and Labelling Introduction
11.2.4 Global Technology Solutions Revenue in Data Collection and Labelling Business (2019-2024)
11.2.5 Global Technology Solutions Recent Development
11.3 Globalme Localization
11.3.1 Globalme Localization Company Detail
11.3.2 Globalme Localization Business Overview
11.3.3 Globalme Localization Data Collection and Labelling Introduction
11.3.4 Globalme Localization Revenue in Data Collection and Labelling Business (2019-2024)
11.3.5 Globalme Localization Recent Development
11.4 Alegion
11.4.1 Alegion Company Detail
11.4.2 Alegion Business Overview
11.4.3 Alegion Data Collection and Labelling Introduction
11.4.4 Alegion Revenue in Data Collection and Labelling Business (2019-2024)
11.4.5 Alegion Recent Development
11.5 Dobility
11.5.1 Dobility Company Detail
11.5.2 Dobility Business Overview
11.5.3 Dobility Data Collection and Labelling Introduction
11.5.4 Dobility Revenue in Data Collection and Labelling Business (2019-2024)
11.5.5 Dobility Recent Development
11.6 Labelbox
11.6.1 Labelbox Company Detail
11.6.2 Labelbox Business Overview
11.6.3 Labelbox Data Collection and Labelling Introduction
11.6.4 Labelbox Revenue in Data Collection and Labelling Business (2019-2024)
11.6.5 Labelbox Recent Development
11.7 Scale AI
11.7.1 Scale AI Company Detail
11.7.2 Scale AI Business Overview
11.7.3 Scale AI Data Collection and Labelling Introduction
11.7.4 Scale AI Revenue in Data Collection and Labelling Business (2019-2024)
11.7.5 Scale AI Recent Development
11.8 Trilldata Technologies
11.8.1 Trilldata Technologies Company Detail
11.8.2 Trilldata Technologies Business Overview
11.8.3 Trilldata Technologies Data Collection and Labelling Introduction
11.8.4 Trilldata Technologies Revenue in Data Collection and Labelling Business (2019-2024)
11.8.5 Trilldata Technologies Recent Development
11.9 Playment
11.9.1 Playment Company Detail
11.9.2 Playment Business Overview
11.9.3 Playment Data Collection and Labelling Introduction
11.9.4 Playment Revenue in Data Collection and Labelling Business (2019-2024)
11.9.5 Playment Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Reality AI
Global Technology Solutions
Globalme Localization
Alegion
Dobility
Labelbox
Scale AI
Trilldata Technologies
Playment
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*If Applicable.
