1、1 THE ECONOMIC IMPACT OF THE DATA ANNOTATION INDUSTRY DECEMBER 2025 2 TABLE OF CONTENTS Executive summary.2 1.Introduction.5 2.How Data Annotation Helps Power Todays AI Systems.6 2.1 The role of data in AI production.6 2.2 The importance of humans in creating good quality data.8 2.3 The data annotat

2、ion industry.10 2.4 Data annotation as a pathway tO AI Upskilling.13 3.Understanding the Economic impact of the data annotation industry in the US.14 3.1 The economic footprint of the data annotation industry.15 3.2 The economic impact of the data annotation industry in 2030.17 4.Annotators in the A

3、I data industry.19 4.1 Who are data annotators?.19 4.2 Motivations for performing data annotation work.25 5.Conclusion.32 6.Appendix 1:Economic impact analysis.33 7.Appendix 2:Survey design.36 8.Appendix 3:Additional survey findings.37 2 EXECUTIVE SUMMARY Data is a critical foundation of the artific

4、ial intelligence(AI)industry.High-quality datasets are fundamental to the leading AI models that are reshaping economies and societies.As global demand for AI increases,the data annotation industry has emerged as a cornerstone of the AI value chain and a key enabler of AI growth,but it is also fueli

5、ng economic activity and supporting new economic opportunities across the United States.THE DATA ANNOTATION INDUSTRY IN THE US IS A RAPIDLY GROWING ECONOMIC FORCE The US market size of the data annotation is estimated to be between$2.7 billion and$5.0 billion in 2024.By 2030,the market is expected t

6、o grow to between$10.3 billion and$19.0 billion1.We estimate that the data annotation industrys total contribution to the US GDP was$5.7 billion in 2024,which is comparable to established sectors like computer storage device manufacturing($4.2 billion)and computer terminals equipment manufacturing($