AI Data Labeling Market Size, Share, and Trends 2026 to 2035

AI Data Labeling Market (By Sourcing Type: In-house, Outsourced; By Data Type: Text, Image, Audio, Video, Point-Cloud; By Labeling Method: Manual, Automatic, Semi-supervised/Human-in-loop; By End-user Industry: Automotive and Mobility, Healthcare and Life Sciences, Retail and E-commerce, BFSI, IT and Telecom, Industrial and Robotics, Others (Agriculture, Media, etc.)) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 26 Feb 2026  |  Report Code : 7902  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI Data Labeling Market 

5.1. COVID-19 Landscape: AI Data Labeling Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI Data Labeling Market, By Sourcing Type

8.1. AI Data Labeling Market, by Sourcing Type

8.1.1. In-house

8.1.1.1. Market Revenue and Forecast

8.1.2. Outsourced

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global AI Data Labeling Market, By Data Type

9.1. AI Data Labeling Market, by Data Type

9.1.1. Text

9.1.1.1. Market Revenue and Forecast

9.1.2. Image

9.1.2.1. Market Revenue and Forecast

9.1.3. Audio

9.1.3.1. Market Revenue and Forecast

9.1.4. Video

9.1.4.1. Market Revenue and Forecast

9.1.5. Point-Cloud

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global AI Data Labeling Market, By Labeling Method 

10.1. AI Data Labeling Market, by Labeling Method

10.1.1. Manual

10.1.1.1. Market Revenue and Forecast

10.1.2. Automatic

10.1.2.1. Market Revenue and Forecast

10.1.3. Semi-supervised/Human-in-loop

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global AI Data Labeling Market, By End-user Industry 

11.1. AI Data Labeling Market, by End-user Industry

11.1.1. Automotive and Mobility

11.1.1.1. Market Revenue and Forecast

11.1.2. Healthcare and Life Sciences

11.1.2.1. Market Revenue and Forecast

11.1.3. Retail and E-commerce

11.1.3.1. Market Revenue and Forecast

11.1.4. BFSI

11.1.4.1. Market Revenue and Forecast

11.1.5. IT and Telecom

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global AI Data Labeling Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Sourcing Type

12.1.2. Market Revenue and Forecast, by Data Type

12.1.3. Market Revenue and Forecast, by Labeling Method

12.1.4. Market Revenue and Forecast, by End-user Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Sourcing Type

12.1.5.2. Market Revenue and Forecast, by Data Type

12.1.5.3. Market Revenue and Forecast, by Labeling Method

12.1.5.4. Market Revenue and Forecast, by End-user Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Sourcing Type

12.1.6.2. Market Revenue and Forecast, by Data Type

12.1.6.3. Market Revenue and Forecast, by Labeling Method

12.1.6.4. Market Revenue and Forecast, by End-user Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Sourcing Type

12.2.2. Market Revenue and Forecast, by Data Type

12.2.3. Market Revenue and Forecast, by Labeling Method

12.2.4. Market Revenue and Forecast, by End-user Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Sourcing Type

12.2.5.2. Market Revenue and Forecast, by Data Type

12.2.5.3. Market Revenue and Forecast, by Labeling Method

12.2.5.4. Market Revenue and Forecast, by End-user Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Sourcing Type

12.2.6.2. Market Revenue and Forecast, by Data Type

12.2.6.3. Market Revenue and Forecast, by Labeling Method

12.2.6.4. Market Revenue and Forecast, by End-user Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Sourcing Type

12.2.7.2. Market Revenue and Forecast, by Data Type

12.2.7.3. Market Revenue and Forecast, by Labeling Method

12.2.7.4. Market Revenue and Forecast, by End-user Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Sourcing Type

12.2.8.2. Market Revenue and Forecast, by Data Type

12.2.8.3. Market Revenue and Forecast, by Labeling Method

12.2.8.4. Market Revenue and Forecast, by End-user Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Sourcing Type

12.3.2. Market Revenue and Forecast, by Data Type

12.3.3. Market Revenue and Forecast, by Labeling Method

12.3.4. Market Revenue and Forecast, by End-user Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Sourcing Type

12.3.5.2. Market Revenue and Forecast, by Data Type

12.3.5.3. Market Revenue and Forecast, by Labeling Method

12.3.5.4. Market Revenue and Forecast, by End-user Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Sourcing Type

12.3.6.2. Market Revenue and Forecast, by Data Type

12.3.6.3. Market Revenue and Forecast, by Labeling Method

12.3.6.4. Market Revenue and Forecast, by End-user Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Sourcing Type

12.3.7.2. Market Revenue and Forecast, by Data Type

12.3.7.3. Market Revenue and Forecast, by Labeling Method

12.3.7.4. Market Revenue and Forecast, by End-user Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Sourcing Type

12.3.8.2. Market Revenue and Forecast, by Data Type

12.3.8.3. Market Revenue and Forecast, by Labeling Method

12.3.8.4. Market Revenue and Forecast, by End-user Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Sourcing Type

12.4.2. Market Revenue and Forecast, by Data Type

12.4.3. Market Revenue and Forecast, by Labeling Method

12.4.4. Market Revenue and Forecast, by End-user Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Sourcing Type

12.4.5.2. Market Revenue and Forecast, by Data Type

12.4.5.3. Market Revenue and Forecast, by Labeling Method

12.4.5.4. Market Revenue and Forecast, by End-user Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Sourcing Type

12.4.6.2. Market Revenue and Forecast, by Data Type

12.4.6.3. Market Revenue and Forecast, by Labeling Method

12.4.6.4. Market Revenue and Forecast, by End-user Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Sourcing Type

12.4.7.2. Market Revenue and Forecast, by Data Type

12.4.7.3. Market Revenue and Forecast, by Labeling Method

12.4.7.4. Market Revenue and Forecast, by End-user Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Sourcing Type

12.4.8.2. Market Revenue and Forecast, by Data Type

12.4.8.3. Market Revenue and Forecast, by Labeling Method

12.4.8.4. Market Revenue and Forecast, by End-user Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Sourcing Type

12.5.2. Market Revenue and Forecast, by Data Type

12.5.3. Market Revenue and Forecast, by Labeling Method

12.5.4. Market Revenue and Forecast, by End-user Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Sourcing Type

12.5.5.2. Market Revenue and Forecast, by Data Type

12.5.5.3. Market Revenue and Forecast, by Labeling Method

12.5.5.4. Market Revenue and Forecast, by End-user Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Sourcing Type

12.5.6.2. Market Revenue and Forecast, by Data Type

12.5.6.3. Market Revenue and Forecast, by Labeling Method

12.5.6.4. Market Revenue and Forecast, by End-user Industry

Chapter 13. Company Profiles

13.1. Google LLC

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Microsoft Azure

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Amazon Web Services

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. AI Appen Limited

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Scale AI Inc

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. CloudFactory Ltd

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Sama Inc

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. iMerit Technologies Pvt Ltd

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Cogito Tech LLC

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Labelbox Inc

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

Answer : The AI data labeling market size is expected to increase from USD 2.30 billion in 2025 to USD 18.23 billion by 2035.

Answer : The AI data labeling market is expected to grow at a compound annual growth rate (CAGR) of around 23.00% from 2026 to 2035.

Answer : The major players in the AI data labeling market include Amazon Web Services, Google LLC, Microsoft Azure, AI Appen Limited, Scale AI Inc, CloudFactory Ltd, Sama Inc, iMerit Technologies Pvt Ltd, Cogito Tech LLC, Labelbox Inc, SuperAnnotate Ltd, Explosion AI GmbH, Deep Systems LLC, BasicAI Inc, Dataloop AI Ltd, Lionbridge AI , Alegion Corp, Clickworker GmbH, Deepen AI Inc, and Playment.

Answer : The driving factors of the AI data labeling market are the growing adoption of AI, the rising need for high-quality labeled datasets, and the evolution of automated and AI-assisted labeling solutions.

Answer : North America region will lead the global AI data labeling market during the forecast period 2026 to 2035.

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