Frost & Sullivan and Leadleo have released the 2026 China Enterprise AI Agent Solutions Market Report. The report defines an enterprise AI agent solution as a full-stack technology system built around enterprise data and business logic. From the bottom up, it consists of four layers: models and inference, data and knowledge, build and orchestration, and delivery and applications, with tool connectivity and runtime governance running across all layers. Enterprise AI agents are moving from knowledge retrieval and content generation toward agentic workflows that call business systems and execute processes collaboratively, and their core value lies in a governable, traceable and iterable business execution architecture.
The report identifies three development trends. First, the evaluation standard is shifting from accurate answers to reliable execution: the Agent Harness has become the orchestration hub, and task completion rate, runtime stability and cost per task are becoming the key evaluation metrics. Second, runtime governance has become a prerequisite for production, as identity, permissions, auditing and human approval must be built in before go-live. Third, products are evolving from personal productivity tools into process execution systems, and business models are shifting from tool procurement to value delivery centered on scenario implementation, ongoing operations and verified outcomes. Growth is now driven by both supply and demand, and whether enterprises can validate the business value of AI agents in core processes will determine the next stage of market growth.
