Data Collection And Labeling Market Grows with Enhanced Model Accuracy

The global data collection and labeling market was valued at USD 3.77 billion in 2024 and is projected to grow to USD 17.10 billion by 2030, at a compound annual growth rate (CAGR) of 28.4 % between 2025 and 2030. This expansion is driven primarily by growing demand for high-quality data to train machine learning (ML) and artificial intelligence (AI) models.

Key Market Trends & Insights

• In 2024, the North America region dominated the market, holding a revenue share of 35.0 %.
• The United States specifically led the regional market, given its concentration of major tech players and strong infrastructure for data storage and processing.
• By data type, the image/video segment accounted for over 40.0 % of the global market in 2024.
• Looking at verticals, the IT sector held the largest revenue share in 2024.
• Regionally, besides North America’s leadership, the Asia Pacific region is expected to experience the fastest growth in the forecast period.

Market Size & Forecast

• The market size in 2024 stood at USD 3.77 billion.
• The forecast for 2030 is USD 17.10 billion, reflecting a robust growth pipeline.
• The CAGR for the period 2025–2030 is 28.4 %.
• Among regional markets, North America was the largest in 2024, while Asia Pacific is poised for the fastest growth through the forecast period.

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Key Companies & Market Share Insight

A number of firms play significant roles in the data collection and labeling market. For instance:

Appen Limited employs a large global crowd of skilled workers to deliver text, audio, image and video annotation services, supporting AI/ML models across automotive, healthcare, finance and technology sectors.

Alegion specializes in scalable, high-quality training data annotation for images, text and video across industries such as automotive, healthcare, retail and technology. Its platform supports seamless project management and quality assurance to help train AI models effectively.

Key Companies List

Leading companies in the data collection and labeling space include:

• Reality AI
• Globalme Localization Inc.
• Global Technology Solutions
• RELX Group plc
• Labelbox, Inc
• Dobility, Inc.
• Sensata Technologies, Inc
• Trilldata Technologies Pvt Ltd
• Appen Limited
• Playment Inc
• SAS Institute Inc.
• Teledyne Technologies Incorporated

Conclusion

In summary, the data collection and labeling market is on a strong growth trajectory, expanding from USD 3.77 billion in 2024 to an estimated USD 17.10 billion by 2030 at a 28.4 % CAGR. Visual data types (image/video) and the IT vertical currently lead the market, while automotive applications and the Asia Pacific region are primed for rapid growth. Leading service providers such as Appen and Alegion anchor the competitive landscape, enabling organizations across sectors to access the annotated data required for AI and ML model development.

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