2026中国云仓行业深度研究报告：数智化驱动全产业链降本增效

Industry Overview and Market Size - The Chinese cloud warehouse industry is transitioning from "scale expansion" to "intelligent transformation," becoming a core infrastructure for digital supply chains, leveraging cloud computing, IoT, and AI technologies [1][2] - The market size of China's cloud warehouse sector is projected to exceed 320 billion yuan by 2025, with a year-on-year growth of approximately 25%, indicating strong growth momentum [1][3][4] National Policies and Regulatory Environment - The Chinese government emphasizes the digitalization and intelligence of the logistics industry, with a series of policies providing a solid foundation and direction for the cloud warehouse sector [5] - Key policy documents include the "Special Action Plan for Accelerating the Development of Intelligent Supply Chains" and the "Implementation Plan for Promoting Open and Interconnected Logistics Data," which elevate cloud warehouses to a national strategic level [5] Competitive Landscape - The industry competition is dominated by four main camps: platform systems (CaiNiao, JD), express systems (SF Express), and professional third parties (Zhongshi Cloud Warehouse, Best Express) [6] - Zhongshi Cloud Warehouse has positioned itself as a global intelligent supply chain infrastructure service provider, showcasing its core competitiveness through its self-developed WMS system and dynamic allocation model [7] Zhongshi Cloud Warehouse's Strategic Upgrade - Zhongshi Cloud Warehouse aims to achieve significant milestones by 2026, including a total storage area exceeding 3.82 million square meters, with 35% of its warehouses being smart unmanned [9] - The company plans to optimize logistics costs by 20% and establish 200 core warehouses, enhancing its network density with 2,800 county-level delivery nodes [9] Technological Trends and Development Suggestions - The future development of the cloud warehouse industry will focus on three main directions: digitalization, networking, and greening [11] - Key technological trends include the integration of AI for dynamic optimization, full-temperature coverage for diverse storage needs, and enhanced delivery efficiency through partnerships with top logistics companies [13] - Companies are advised to invest in AI predictive systems, develop distributed networks for inventory pre-positioning, and promote system and network collaboration to lower overall costs [13]