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.
Summary:
Get latest Market Research Reports on AI Data Annotation. Industry analysis & Market Report on AI Data Annotation is a syndicated market report, published as Global AI Data Annotation Market 2025 by Company, Regions, Type and Application, Forecast to 2031. It is complete Research Study and Industry Analysis of AI Data Annotation market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.