Frost & Sullivan has released the China Enterprise AI Knowledge Base Market Research Report, 2026H1. The report defines an enterprise AI knowledge base as an intelligent system that consolidates, governs and serves an organization's internal knowledge to employees, AI agents and business systems. It offers multi-source ingestion, centralized management, intelligent retrieval and trustworthy question answering, and supports business applications within defined access boundaries. Having evolved through the document management, knowledge management and intelligent search stages, the industry entered the agentic knowledge stage in 2025, and the product is shifting from a search tool to core enterprise business infrastructure. Its value is being validated in four areas, namely knowledge asset governance, faster access to knowledge, replication of organizational capabilities, and risk and compliance governance, and enterprises are moving from single-scenario pilots to organization-wide deployment.
The report identifies three development trends. First, knowledge engineering is becoming more refined: ontology, GraphRAG, Agentic RAG and context engineering together improve retrieval accuracy and semantic consistency, making trustworthy generation the core product capability. Second, applications are moving from question answering to task execution. AI agents are turning knowledge bases from Q&A tools into digital workers that act on business tasks, which makes governance mechanisms such as access control, approval, auditing and exception handling a prerequisite for production deployment. Third, knowledge bases are evolving from single application components into a unified and trusted knowledge supply hub, with open interoperability becoming a key condition for them to serve as enterprise-wide knowledge infrastructure. By industry, consulting and financial services show the highest maturity; automotive, manufacturing, healthcare and government have entered some core processes; and retail and construction remain at the stage of localized practice.
