In modern economic operations, warehousing serves as a pivotal component of supply chains. The deep integration ofAIWMS (Artificial Intelligence + Warehousing & Logistics) and WMSROBOT (Warehouse Logistics Robots)is accelerating the transformation of operational paradigms in the warehousing sector. According to the latest statistics, China’s express delivery volume reached 174.5 billion parcels in 2024, with revenue hitting 1.4 trillion yuan. This represents year-on-year growth of 21% and 13% respectively. Consequently, this has established the industry as a pillar of domestic economy and the largest segment in the global logistics market. Such massive operational scale demands exceptional efficiency and precision in warehousing processes. In response, the synergistic application ofAIWMSandWMSROBOTemerges as the core solution to meet these requirements.
I. Industry Landscape:AIWMSandWMSROBOTHave Become Standard in High- Efficiency Warehousing. Data shows that in 2024, China’s logistics sector deployed nearly 1,000 autonomous vehicles and over 300 drones. These handled nearly 3 million parcels via drone delivery. The country now operates 1,300 large-scale mail and parcel processing centers, with daily processing capacity reaching 729 million items. Notably, more than 60% of these centers have integrated WMSROBOT equipment — including automated guided vehicles (AGVs) and smart sorting robots. In addition, they have combined these with AIWMS’s intelligent scheduling system, achieving a 100% increase in parcel processing efficiency.
II. Synergistic Value:HowAIWMSEnhancesWMSROBOTPerformance? With the rapid development of the express delivery industry, the intelligent warehousing sector has grown significantly. As a core system integrating artificial intelligence and warehouse management, AIWMS has become a key driver for enterprise digital transformation. In the new era of smart manufacturing and flexible production, manufacturers now prioritize precision and high-quality output over mere quantity. Through big data analytics and intelligent algorithms, AIWMS enables refined management functions like accurate inventory forecasting and dynamic storage optimization. These features significantly improve warehouse efficiency and resource allocation. Meanwhile, WMSROBOT, as the core execution device, covers the entire workflow from material handling and picking to stacking. This drastically reduces manual reliance. The synergy between these two systems drives cost reduction and efficiency gains in warehousing operations. Therefore, implementing AIWMS and WMSROBOT systems across the entire production environment — including enterprise warehouses — delivers substantial economic and social benefits.
III. Market Outlook:Accelerated Adoption of AIWMS and WMSROBOT. In the context of global digital transformation, labor shortages, and rising labor costs, the smart logistics and warehousing sector is experiencing rapid growth against the odds. AIWMS and WMSROBOT are leading this market expansion.
The penetration rate is expected to keep rising. The global smart logistics warehousing market is projected to hit the $100 billion milestone by 2027, with a compound annual growth rate (CAGR) of 13% from 2022 to 2027. Domestically, China’s warehousing automation market is anticipated to exceed 200 billion yuan by 2025, accounting for approximately 30% of the global market. This will come with a CAGR of 17% — outpacing the global growth rate. Meanwhile, the market share of AIWMS and WMSROBOT will surpass 40%, emerging as the primary growth drivers.
Figure: 2019–2027 China Intelligent Warehousing Market Size and AIWMS & WMSROBOT Share Forecast. From the perspective of overall market growth, the market size growth rate in 2022 was relatively low due to various factors such as pandemic control. In the following years, the rapid development of industries such as new energy, pharmaceuticals, automobile manufacturing, and cross- border 3C products drove the market growth to quickly recover to pre-pandemic levels. These industries have extremely high demands for flexible and intelligent warehousing. As a result, this further stimulates the application demand for AIWMS and WMSROBOT. Meanwhile, the industry is gradually maturing, and it is expected that after 2026, the industry growth rate will slightly decline. However, the overall scale will continue to grow. It is estimated that in 2027, the China Intelligent Logistics Warehousing Market will reach the level of 260 billion. Among these, the large-scale application of AIWMS systems and the technological iteration of WMSROBOT will become important supports for industry growth.
IV. Application Expansion:Flexible Demand Drives WMSROBOT-AIWMS Integration. In warehouse automation applications, large and medium-sized enterprises remain the primary clients, with stable demand for automated storage systems (ASR) and sorting/conveying equipment. These high-investment projects naturally generate substantial revenue. However, as flexible production demands grow, warehouse operations increasingly prioritize safety and adaptability in handling and loading processes. This accelerates the adoption of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs). This trend is expected to drive the fastest growth in WMSROBOT adoption. The AIWMS system, serving as the “intelligent brain” for WMSROBOT, enables unified scheduling algorithms to integrate multiple types of
Collaborative operation of multi-type robots has resolved the issues of poor compatibility and chaotic scheduling in traditional equipment, further enhancing the application value of WMSROBOT. For instance, in a car factory project, the AIWMS system coordinated multiple types of WMSROBOT, achieving remarkable results: a threefold increase in component storage and retrieval efficiency and a space utilization rate exceeding 85%.
Illustration: Correlation Analysis Between WMSROBOT’s AGV/AMR and AIWMS Scheduling Systems. In terms of application-layer hardware pricing, this analysis primarily examines core WMSROBOT products like AGVs and AMRs. In the early years, pallet trucks were priced at 200,000–250,000 yuan per unit due to insufficient production scale and heavy reliance on imported components. However, with recent market advancements and the localization of key components like LiDAR and sensors, pallet truck prices have plummeted. By 2024, the standard AGV model had dropped below 100,000 yuan. The decline in hardware costs has further accelerated the large-scale adoption of AIWMS and WMSROBOT systems, particularly lowering the entry barrier for SMEs seeking intelligent upgrades. As hardware costs decrease and system intelligence matures, the integration of AIWMS and WMSROBOT has become an inevitable path for warehouse modernization. For enterprises planning intelligent warehouse transformation, this presents a critical window for thorough evaluation and strategic deployment.
[Get complete industry insights] For detailed information on the technical path of the AIWMS system and WMSROBOT robots, selection guidelines, and more benchmark cases, please download the “AIWMS (Artificial Intelligence + Warehousing and Logistics) WMSROBOT (Warehousing and Logistics Robot) (2025) China Intelligent Warehouse Market Research Report” released by AIoT StarMap Research Institute (free electronic version):https://imgs.iotku.com/2025/2/8/4a277f8484009cd6.pdfTake im- mediate action to seize the new round of growth dividend of intelligent warehousing!