The Economic Impact of the Data Annotation Industry

Data plays an important role in the artificial intelligence (AI) industry. High-quality datasets help power many of the leading AI models that are reshaping economies and societies. As global demand for AI grows, the data annotation industry has become an increasingly important part of the AI ecosystem and a contributor to new economic activity and opportunities across the United States.

This report provides the first look into the growing market of flexible earning opportunities providing human input and oversight into AI systems and their economic benefits. It details how data annotation supports the AI industry and measures its growing contribution to the US economy. This report estimates the US market for data annotation in 2024 is between $2.7–$5.0 billion, with a projected US market size of $10.3–$19.0 billion by 2030.

The report also estimates that the US data annotation industrycontributed $5.7 billion to the US GDP in 2024 and directly supported nearly 200,000 flexible earning opportunities and 9,000 additional full-time employee jobs. Additionally, 25,000 full-time employee jobs were also supported in 2024 through the industry’s supply chain and worker spending. In total, that activity generated an estimated $1.2 billion in federal, state, and local tax revenue. Oxford Economics estimates that the total GDP impact is projected to more than triple to $19.2 billion by 2030.

Oxford Economics surveyed approximately 900 US data annotators in conjunction with this study. Among those surveyed 84% hold at least a bachelor’s degree, 94% of respondents reported that additional supplemental earnings drew them to these opportunities, and 91% respondents indicated flexibility was the core reason they do this work. Nearly three-quarters of respondents hope to apply their AI skills to help support future roles in AI and technology.