沙利文发布《全球及中国AI数据服务市场发展白皮书（2026）》
人工智能正在从以算法和算力驱动的技术竞争阶段，逐步进入以高质量数据驱动模型能力提升的新阶段。作为连接数据资源与模型能力的重要基础环节，AI数据服务正由传统机器学习阶段的数据采集与标注，向覆盖模型训练、能力对齐、效果评测及持续优化的高价值数据服务体系升级，为大模型、物理AI及AI Agent等新一代智能系统的发展提供关键支撑。高质量、多模态、专业化及场景化数据正逐渐成为影响人工智能系统性能、可靠性及商业化落地的重要因素。
当前，全球AI数据服务产业正处于由传统数据生产向智能化数据工程和全栈数据服务演进的关键阶段。随着大模型、智能体等技术快速发展，围绕模型训练、模型评测、行业知识增强、真实世界理解及智能应用优化等方向，产业链正在形成涵盖数据资源、数据工程、智能工具和持续反馈机制的新型价值体系。作为全球领先的产业研究与增长咨询机构，弗若斯特沙利文基于全球产业数据库、专家访谈及行业案例研究，正式发布《全球及中国AI数据服务市场发展白皮书（2026）》。
本白皮书围绕AI数据服务产业发展背景、市场规模、产业链结构、技术演进及未来发展趋势展开系统研究，深入分析AI大模型数据服务、物理AI与世界模型数据服务以及AI Agent数据服务等核心细分市场的发展路径。报告旨在为政府机构、投资机构、AI数据服务企业、产业链参与者及生态合作伙伴提供关于AI数据服务产业趋势、商业模式演进及市场机会的前瞻性洞察，助力产业各方把握人工智能时代数据基础设施的发展机遇。
AI is transitioning from a technology competition driven by algorithms and computing power toward 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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