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Global AI Data Annotation Market 2025 by Company, Regions, Type and Application, Forecast to 2031

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1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI Data Annotation by Type
    • 1.3.1 Overview: Global AI Data Annotation Market Size by Type: 2020 Versus 2024 Versus 2031
    • 1.3.2 Global AI Data Annotation Consumption Value Market Share by Type in 2024
    • 1.3.3 Text Data Annotation
    • 1.3.4 Image Data Annotation
    • 1.3.5 Video Data Annotation
    • 1.3.6 Audio Data Annotation
    • 1.3.7 Others
  • 1.4 Global AI Data Annotation Market by Application
    • 1.4.1 Overview: Global AI Data Annotation Market Size by Application: 2020 Versus 2024 Versus 2031
    • 1.4.2 Large Enterprises
    • 1.4.3 Small and Medium Enterprises
  • 1.5 Global AI Data Annotation Market Size & Forecast
  • 1.6 Global AI Data Annotation Market Size and Forecast by Region
    • 1.6.1 Global AI Data Annotation Market Size by Region: 2020 VS 2024 VS 2031
    • 1.6.2 Global AI Data Annotation Market Size by Region, (2020-2031)
    • 1.6.3 North America AI Data Annotation Market Size and Prospect (2020-2031)
    • 1.6.4 Europe AI Data Annotation Market Size and Prospect (2020-2031)
    • 1.6.5 Asia-Pacific AI Data Annotation Market Size and Prospect (2020-2031)
    • 1.6.6 South America AI Data Annotation Market Size and Prospect (2020-2031)
    • 1.6.7 Middle East & Africa AI Data Annotation Market Size and Prospect (2020-2031)

2 Company Profiles

  • 2.1 Content Whale
    • 2.1.1 Content Whale Details
    • 2.1.2 Content Whale Major Business
    • 2.1.3 Content Whale AI Data Annotation Product and Solutions
    • 2.1.4 Content Whale AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.1.5 Content Whale Recent Developments and Future Plans
  • 2.2 Scale AI
    • 2.2.1 Scale AI Details
    • 2.2.2 Scale AI Major Business
    • 2.2.3 Scale AI AI Data Annotation Product and Solutions
    • 2.2.4 Scale AI AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.2.5 Scale AI Recent Developments and Future Plans
  • 2.3 SuperAnnotate
    • 2.3.1 SuperAnnotate Details
    • 2.3.2 SuperAnnotate Major Business
    • 2.3.3 SuperAnnotate AI Data Annotation Product and Solutions
    • 2.3.4 SuperAnnotate AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.3.5 SuperAnnotate Recent Developments and Future Plans
  • 2.4 iMerit
    • 2.4.1 iMerit Details
    • 2.4.2 iMerit Major Business
    • 2.4.3 iMerit AI Data Annotation Product and Solutions
    • 2.4.4 iMerit AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.4.5 iMerit Recent Developments and Future Plans
  • 2.5 Kili Technology
    • 2.5.1 Kili Technology Details
    • 2.5.2 Kili Technology Major Business
    • 2.5.3 Kili Technology AI Data Annotation Product and Solutions
    • 2.5.4 Kili Technology AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.5.5 Kili Technology Recent Developments and Future Plans
  • 2.6 Telus International
    • 2.6.1 Telus International Details
    • 2.6.2 Telus International Major Business
    • 2.6.3 Telus International AI Data Annotation Product and Solutions
    • 2.6.4 Telus International AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.6.5 Telus International Recent Developments and Future Plans
  • 2.7 CloudFactory
    • 2.7.1 CloudFactory Details
    • 2.7.2 CloudFactory Major Business
    • 2.7.3 CloudFactory AI Data Annotation Product and Solutions
    • 2.7.4 CloudFactory AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.7.5 CloudFactory Recent Developments and Future Plans
  • 2.8 Sama AI
    • 2.8.1 Sama AI Details
    • 2.8.2 Sama AI Major Business
    • 2.8.3 Sama AI AI Data Annotation Product and Solutions
    • 2.8.4 Sama AI AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.8.5 Sama AI Recent Developments and Future Plans
  • 2.9 Cogito
    • 2.9.1 Cogito Details
    • 2.9.2 Cogito Major Business
    • 2.9.3 Cogito AI Data Annotation Product and Solutions
    • 2.9.4 Cogito AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.9.5 Cogito Recent Developments and Future Plans
  • 2.10 Labelbox
    • 2.10.1 Labelbox Details
    • 2.10.2 Labelbox Major Business
    • 2.10.3 Labelbox AI Data Annotation Product and Solutions
    • 2.10.4 Labelbox AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.10.5 Labelbox Recent Developments and Future Plans
  • 2.11 Label Your Data
    • 2.11.1 Label Your Data Details
    • 2.11.2 Label Your Data Major Business
    • 2.11.3 Label Your Data AI Data Annotation Product and Solutions
    • 2.11.4 Label Your Data AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.11.5 Label Your Data Recent Developments and Future Plans
  • 2.12 Aya Data
    • 2.12.1 Aya Data Details
    • 2.12.2 Aya Data Major Business
    • 2.12.3 Aya Data AI Data Annotation Product and Solutions
    • 2.12.4 Aya Data AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.12.5 Aya Data Recent Developments and Future Plans
  • 2.13 BasicAI
    • 2.13.1 BasicAI Details
    • 2.13.2 BasicAI Major Business
    • 2.13.3 BasicAI AI Data Annotation Product and Solutions
    • 2.13.4 BasicAI AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.13.5 BasicAI Recent Developments and Future Plans
  • 2.14 Macgence
    • 2.14.1 Macgence Details
    • 2.14.2 Macgence Major Business
    • 2.14.3 Macgence AI Data Annotation Product and Solutions
    • 2.14.4 Macgence AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.14.5 Macgence Recent Developments and Future Plans
  • 2.15 Damco
    • 2.15.1 Damco Details
    • 2.15.2 Damco Major Business
    • 2.15.3 Damco AI Data Annotation Product and Solutions
    • 2.15.4 Damco AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.15.5 Damco Recent Developments and Future Plans
  • 2.16 Learning Spiral AI
    • 2.16.1 Learning Spiral AI Details
    • 2.16.2 Learning Spiral AI Major Business
    • 2.16.3 Learning Spiral AI AI Data Annotation Product and Solutions
    • 2.16.4 Learning Spiral AI AI Data Annotation Revenue, Gross Margin and Market Share (2020-2025)
    • 2.16.5 Learning Spiral AI Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI Data Annotation Revenue and Share by Players (2020-2025)
  • 3.2 Market Share Analysis (2024)
    • 3.2.1 Market Share of AI Data Annotation by Company Revenue
    • 3.2.2 Top 3 AI Data Annotation Players Market Share in 2024
    • 3.2.3 Top 6 AI Data Annotation Players Market Share in 2024
  • 3.3 AI Data Annotation Market: Overall Company Footprint Analysis
    • 3.3.1 AI Data Annotation Market: Region Footprint
    • 3.3.2 AI Data Annotation Market: Company Product Type Footprint
    • 3.3.3 AI Data Annotation Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI Data Annotation Consumption Value and Market Share by Type (2020-2025)
  • 4.2 Global AI Data Annotation Market Forecast by Type (2026-2031)

5 Market Size Segment by Application

  • 5.1 Global AI Data Annotation Consumption Value Market Share by Application (2020-2025)
  • 5.2 Global AI Data Annotation Market Forecast by Application (2026-2031)

6 North America

  • 6.1 North America AI Data Annotation Consumption Value by Type (2020-2031)
  • 6.2 North America AI Data Annotation Market Size by Application (2020-2031)
  • 6.3 North America AI Data Annotation Market Size by Country
    • 6.3.1 North America AI Data Annotation Consumption Value by Country (2020-2031)
    • 6.3.2 United States AI Data Annotation Market Size and Forecast (2020-2031)
    • 6.3.3 Canada AI Data Annotation Market Size and Forecast (2020-2031)
    • 6.3.4 Mexico AI Data Annotation Market Size and Forecast (2020-2031)

7 Europe

  • 7.1 Europe AI Data Annotation Consumption Value by Type (2020-2031)
  • 7.2 Europe AI Data Annotation Consumption Value by Application (2020-2031)
  • 7.3 Europe AI Data Annotation Market Size by Country
    • 7.3.1 Europe AI Data Annotation Consumption Value by Country (2020-2031)
    • 7.3.2 Germany AI Data Annotation Market Size and Forecast (2020-2031)
    • 7.3.3 France AI Data Annotation Market Size and Forecast (2020-2031)
    • 7.3.4 United Kingdom AI Data Annotation Market Size and Forecast (2020-2031)
    • 7.3.5 Russia AI Data Annotation Market Size and Forecast (2020-2031)
    • 7.3.6 Italy AI Data Annotation Market Size and Forecast (2020-2031)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI Data Annotation Consumption Value by Type (2020-2031)
  • 8.2 Asia-Pacific AI Data Annotation Consumption Value by Application (2020-2031)
  • 8.3 Asia-Pacific AI Data Annotation Market Size by Region
    • 8.3.1 Asia-Pacific AI Data Annotation Consumption Value by Region (2020-2031)
    • 8.3.2 China AI Data Annotation Market Size and Forecast (2020-2031)
    • 8.3.3 Japan AI Data Annotation Market Size and Forecast (2020-2031)
    • 8.3.4 South Korea AI Data Annotation Market Size and Forecast (2020-2031)
    • 8.3.5 India AI Data Annotation Market Size and Forecast (2020-2031)
    • 8.3.6 Southeast Asia AI Data Annotation Market Size and Forecast (2020-2031)
    • 8.3.7 Australia AI Data Annotation Market Size and Forecast (2020-2031)

9 South America

  • 9.1 South America AI Data Annotation Consumption Value by Type (2020-2031)
  • 9.2 South America AI Data Annotation Consumption Value by Application (2020-2031)
  • 9.3 South America AI Data Annotation Market Size by Country
    • 9.3.1 South America AI Data Annotation Consumption Value by Country (2020-2031)
    • 9.3.2 Brazil AI Data Annotation Market Size and Forecast (2020-2031)
    • 9.3.3 Argentina AI Data Annotation Market Size and Forecast (2020-2031)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI Data Annotation Consumption Value by Type (2020-2031)
  • 10.2 Middle East & Africa AI Data Annotation Consumption Value by Application (2020-2031)
  • 10.3 Middle East & Africa AI Data Annotation Market Size by Country
    • 10.3.1 Middle East & Africa AI Data Annotation Consumption Value by Country (2020-2031)
    • 10.3.2 Turkey AI Data Annotation Market Size and Forecast (2020-2031)
    • 10.3.3 Saudi Arabia AI Data Annotation Market Size and Forecast (2020-2031)
    • 10.3.4 UAE AI Data Annotation Market Size and Forecast (2020-2031)

11 Market Dynamics

  • 11.1 AI Data Annotation Market Drivers
  • 11.2 AI Data Annotation Market Restraints
  • 11.3 AI Data Annotation Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI Data Annotation Industry Chain
  • 12.2 AI Data Annotation Upstream Analysis
  • 12.3 AI Data Annotation Midstream Analysis
  • 12.4 AI Data Annotation Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    According to our latest research, the global AI Data Annotation market size will reach USD 2044 million in 2031, growing at a CAGR of 6.1% over the analysis period.
    Artificial intelligence data annotation refers to the process of labeling, classifying and structuring raw data (such as text, images, audio, video, etc.) through manual or semi-automatic methods to make it recognizable training data for machine learning models. The annotation content may include object detection, semantic segmentation, sentiment analysis, entity recognition, etc., which directly affects the accuracy and performance of the AI ​​model. This process usually follows strict annotation specifications and combines quality verification mechanisms to ensure high consistency and reliability of data. It is widely used in AI fields such as computer vision, natural language processing, and speech recognition.

    This report is a detailed and comprehensive analysis for global AI Data Annotation market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
    Key Features:
    Global AI Data Annotation market size and forecasts, in consumption value ($ Million), 2020-2031
    Global AI Data Annotation market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
    Global AI Data Annotation market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
    Global AI Data Annotation market shares of main players, in revenue ($ Million), 2020-2025
    The Primary Objectives in This Report Are:
    To determine the size of the total market opportunity of global and key countries
    To assess the growth potential for AI Data Annotation
    To forecast future growth in each product and end-use market
    To assess competitive factors affecting the marketplace
    This report profiles key players in the global AI Data Annotation market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Content Whale, Scale AI, SuperAnnotate, iMerit, Kili Technology, Telus International, CloudFactory, Sama AI, Cogito, Labelbox, etc.
    This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
    Market segmentation
    AI Data Annotation market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
    Market segment by Type
    Text Data Annotation
    Image Data Annotation
    Video Data Annotation
    Audio Data Annotation
    Others
    Market segment by Application
    Large Enterprises
    Small and Medium Enterprises
    Market segment by players, this report covers
    Content Whale
    Scale AI
    SuperAnnotate
    iMerit
    Kili Technology
    Telus International
    CloudFactory
    Sama AI
    Cogito
    Labelbox
    Label Your Data
    Aya Data
    BasicAI
    Macgence
    Damco
    Learning Spiral AI
    Market segment by regions, regional analysis covers
    North America (United States, Canada and Mexico)
    Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
    South America (Brazil, Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
    The content of the study subjects, includes a total of 13 chapters:
    Chapter 1, to describe AI Data Annotation product scope, market overview, market estimation caveats and base year.
    Chapter 2, to profile the top players of AI Data Annotation, with revenue, gross margin, and global market share of AI Data Annotation from 2020 to 2025.
    Chapter 3, the AI Data Annotation competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
    Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
    Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI Data Annotation market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
    Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
    Chapter 12, the key raw materials and key suppliers, and industry chain of AI Data Annotation.
    Chapter 13, to describe AI Data Annotation research findings and conclusion.

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