Frost & Sullivan and LeadLeo Jointly Release the “2026 China Enterprise Data Analytics Agent Market Research”

As large language models and AI agent technologies continue to advance, enterprise data analytics is evolving beyond traditional reporting and natural language querying toward autonomous task planning, multi-step execution, and intelligent insight generation. By integrating business semantic understanding, tool orchestration, task planning, and trusted governance, enterprise data analytics agents are lowering barriers to data access while extending analytical capabilities into higher-value applications, including root-cause analysis, predictive analytics, and business decision support. China's enterprise data analytics agent market is currently characterized by three parallel development paths: standalone application-based, platform-based, and BI-derived solutions, each addressing distinct enterprise needs and data maturity levels. Looking ahead, improvements in enterprise data readiness, semantic governance, and agent capabilities are expected to drive greater convergence toward unified underlying platforms and diversified applications, accelerating the transformation of data analytics from specialized tools into enterprise-wide intelligent decision-support capabilities.