According to KDC‘s China AI Agent Industry Ecosystem Map 2026, AI Agent has expanded rapidly across office collaboration, software development and multiple industrial sectors. KDC released the 2026 AI Agent Industrial Ecosystem Atlas on June 30, 2026 at the China Intelligent-computing Industry Ecological Annual Conference. The atlas sorts out representative enterprises across full industrial chains through industrial surveys, public collection and expert review.
The atlas builds a three-tier analytical framework covering infrastructure and underlying capability, development tools and platforms, and agent applications. This complete framework displays the whole picture of the AI Agent industry from underlying hardware support to end-user business deployment. It offers clear reference material for industrial research and practical project implementation.
The AI Agent industry is stepping into a critical phase shifting from technical innovation toward large‑scale commercial adoption. Each industrial link keeps deepening collaboration, and enterprises focus on lowering underlying costs while solving integration and security pain points in real-world deployment scenarios. More industry-customized agent products keep rolling out for physical-world business workflows.
KEY TAKEAWAYS
Infrastructure and underlying capability layer forms the industrial foundation. This layer contains four core segments providing computing, data and model resources for AI Agent operation. Mass-deployed liquid-cooled hardware addresses high power consumption from agent workloads, and both general-purpose and vertical large-models deliver core capabilities for enterprise-level agent products. The industry advances three key directions to reduce the overall development and operation expenditure of AI Agent systems.
Development platform and tool layer serves as the intermediate hub of industrial chain. Six core functional modules support full-cycle agent development, debugging and runtime management. Low-code and no-code tools cut technical barriers for small-and-medium-sized enterprises, shorten development cycles and reduce engineering costs for corporate clients. Multi-agent collaboration standards and matching security tools are continuously optimized for real-world production deployment.
Agent application layer delivers tangible industrial value for real-economy sectors. Scenarios fall into general-purpose and vertical-industry tracks covering ten typical enterprise business fields. General-purpose agents achieve large-scale enterprise adoption while most vertical-industry projects stay at pilot verification phase. AI Agents are evolving from simple question-answering tools into autonomous entities with independent planning and multi-tool invocation capability.
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