Press release
AI Data Labelling Market to Reach USD 5.46 Billion by 2030, Driven by Enterprise AI Adoption and Human-in-the-Loop Workflows
AI Data Labelling Market Size & Trends | Mordor Intelligence
AI Data Labelling Market Overview
The AI Data Labelling Market is witnessing steady expansion as organizations across industries increase their dependence on high-quality annotated data to support artificial intelligence applications. According to Mordor Intelligence, the AI Data Labelling Market size is valued at USD 1.89 billion in 2025 and is projected to reach USD 5.46 billion by 2030, reflecting strong demand for reliable training data that supports accuracy, safety, and compliance across AI systems.
Report Overview: https://www.mordorintelligence.com/industry-reports/ai-data-labeling-market?utm_source=openpr
Key Trends Shaping the AI Data Labelling Market
Rising Adoption of Human-in-the-Loop Labelling Models
Organizations increasingly rely on human-in-the-loop workflows to ensure accuracy, context understanding, and bias control in training datasets. This trend is strengthening quality benchmarks across the AI Data Labelling Market, especially for safety-critical and regulated use cases.
Growing Preference for Outsourced Data Labelling Services
Enterprises are shifting toward outsourced providers to manage large data volumes, workforce scalability, and compliance requirements. This approach supports consistency and governance while contributing to overall AI Data Labelling Market size expansion.
Expansion of Generative AI Feedback and Review Tasks
The growth of generative AI applications is increasing demand for tasks such as response evaluation, content validation, and model alignment checks. These activities are shaping U AI Data Labelling Market trends by emphasizing skilled human review over basic annotation.
Increased Focus on Data Privacy and Secure Labelling Environments
Data protection regulations are driving the adoption of secure, access-controlled labelling environments. Enterprises handling sensitive data are prioritizing vendors that support audit trails and regional data handling, influencing AI Data Labelling Market statistics globally.
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AI Data Labelling Market Segmentation Overview
By Sourcing Type
In-house
Outsourced
By Data Type
Text
Image
Audio
Video
3-D Point Cloud
By Labelling Method
Manual
Automatic
Human-in-the-Loop / Semi-supervised
By Enterprise Size
Small and Medium Enterprises
Large Enterprises
By End-User Industry
Automotive and Mobility
Healthcare and Life Sciences
Retail and E-commerce
Banking, Financial Services, and Insurance
IT and Telecom
Industrial and Robotics
Others (Agriculture, Media, and related sectors)
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Key Players in the AI Data Labelling Market
Appen Limited
Scale AI Inc.
Amazon Web Services
Google LLC
CloudFactory Ltd.
iMerit
Conclusion
The AI Data Labelling Market continues to grow as artificial intelligence becomes embedded in everyday business operations. High-quality labelled data remains essential for model reliability, regulatory compliance, and responsible deployment. Enterprises are increasingly viewing data labelling as a strategic investment rather than a supporting function.
For more insights on AI Data Labelling Market, please visit the Mordor Intelligence Page: https://www.mordorintelligence.com/industry-reports/ai-data-labeling-market?utm_source=openpr
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