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Artificial intelligence is moving from a stage driven by algorithms and computing power to a new phase where high-quality data drives model improvement. As a crucial link connecting data resources and AI capabilities, AI data services are evolving from traditional machine learning data collection and annotation to a high-value service system covering model training, capability alignment, evaluation and continuous optimization, providing essential support for the development of large models, physical AI and AI agents. High-quality, multimodal, domain-specific and scenario-based data are becoming important factors affecting AI system performance, reliability and commercialization.
Currently, the global AI data services industry is at a critical stage of transition from traditional data production to intelligent data engineering and comprehensive data service ecosystems. With the rapid development of technologies such as large models and AI agents, the industry is creating new value chains that include data resources, data engineering, intelligent tools and continuous feedback mechanisms. As a leading global industry research and growth consulting firm, Frost & Sullivan officially releases the "Global and China AI Data Services Market Development White Paper (2026)" based on global industry databases, expert interviews and market research.
This white paper conducts a systematic analysis of the background, market size, industry chain structure, technological evolution and future trends of the AI data services industry. It deeply examines the development paths of core markets such as AI large model data services, physical AI and world model data services, and AI agent data services. The report aims to provide forward-looking insights for government agencies, investment institutions, AI data services companies, industry chain participants and ecosystem partners regarding industry trends, business model evolution and market opportunities, helping all parties in the industry seize the development opportunities of data infrastructure in the era of artificial intelligence.
AI is transitioning from a technology competition driven by algorithms and computing power to a new stage where high-quality data drives AI model advancement. As a critical foundation connecting data resources and AI capabilities, AI data services are evolving from traditional data collection and annotation toward high-value services covering model training, alignment, evaluation and optimization, supporting the development of AI Large Model, physical AI and AI agents. High-quality, multimodal, domain-specific and scenario-based data are becoming increasingly important for improving AI performance, reliability and commercialization.
Currently, the global AI data services industry is transitioning from traditional data production toward intelligent data engineering and comprehensive data service ecosystems. Driven by foundation models and AI agents, the industry is developing new value chains encompassing data resources, data engineering, intelligent tools and continuous feedback mechanisms. Frost & Sullivan officially releases the "Global and China AI Data Services Market Development White Paper (2026)" based on global industry databases, expert interviews and market research.
The White Paper analyzes the AI data services industry from multiple perspectives, including market development, market size, value chain, technology evolution and future trends. It further examines key segments including AI Large Model data services, physical AI and world model data services, and AI agent data services, providing insights into industry trends, business model evolution and market opportunities for ecosystem participants.
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Mr. Yan from Frost & Sullivan
