Frost & Sullivan Has Officially Released "2026 White Paper on the Development of Global and China's AI Data Service Market"

Shanghai, China--(Newsfile Corp. - August 23, 2026) - Frost & Sullivan has officially released the "2026 White Paper on the Development of Global and China's AI Data Service Market" based on global industry databases, expert interviews and market research. Competition in AI is shifting from a focus on algorithms and computing power toward a new phase in which high-quality data plays an increasingly important role in model development. 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 large language models, physical AI and AI agents.

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 large language 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.

Development Background of the Global and China AI Data Services Markets

Evolution of the AI Industry

The AI industry has evolved from traditional models to large language models (LLMs) and multimodal models, and is now advancing toward physical AI, world models and AI agents. Model capabilities have expanded from task-specific perception to cross-modal understanding, content generation, complex reasoning, autonomous planning, tool use and task execution, while AI applications are increasingly extending beyond the digital domain into the physical world. Looking ahead, advances in general-purpose capabilities, lower barriers to adoption, broader industrial applications and greater autonomy are expected to be key directions shaping the continued evolution of the AI industry.

AI Industry Value Chain: Computing Power, Algorithms and Data as Synergistic Drivers

The AI industry's value chain is underpinned by the interplay of three core elements: computing power, algorithms and data. Computing power determines the scale and efficiency at which model capabilities can be deployed, while algorithms shape the level of intelligence and the direction of AI development. Data provides the essential inputs for model training, optimization, evaluation and feedback. AI data services transform raw data into high-quality, well-governed, evaluation-ready and continuously refined data assets, serving as a critical link between computing resources, algorithmic capabilities and real-world applications.

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