AI In Warehousing Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Application, By Deployment, By Organization Size, By Industry, By Region, And Segment Forecasts, 2025 - 2030

AI In Warehousing Market Size & Trends

The global AI in warehousing market size was estimated at USD 11.22 billion in 2024 and is expected to grow at a CAGR of 26.1% from 2025 to 2030. This can be attributed to the surge in e-commerce, which demands faster and more accurate order fulfillment. Warehouses are under pressure to handle larger volumes and more complex inventories, leading to the adoption of AI-driven automation, robotics, and advanced analytics. These technologies streamline workflows, reduce manual errors, and improve inventory management, while also addressing labor shortages and rising operational costs. The integration of AI enables real-time decision-making and enhances productivity, making warehouses more efficient and competitive. For instance, Ocado operates highly advanced AI-driven warehouses where robotic systems, coordinated by artificial intelligence (AI), manage automated storage, retrieval, and packing with remarkable efficiency and precision.

Continuous advancements in robotics, machine learning, and big data analytics are making AI solutions increasingly accessible and scalable for warehouses of all sizes. The integration of AI with IoT devices allows for real-time tracking and management of inventory and assets, improving visibility and decision-making across the supply chain. Companies are also investing in research and development to introduce innovative solutions that optimize warehouse workflows, automate routine tasks, and support predictive maintenance. AI-powered computer vision and robotic systems further enhance operational accuracy by automatically identifying misplaced or damaged goods, reducing human error, and streamlining inventory processes.

Furthermore, sustainability and the need for cost-effective operations are also influencing the adoption of AI in warehousing. AI technologies help optimize energy use, reduce waste, and improve resource allocation, aligning with corporate sustainability goals. As businesses seek to enhance performance metrics and meet evolving customer expectations, the use of AI in warehousing continues to expand, transforming traditional logistics into data-driven, efficient, and agile operations.

Global AI In Warehousing Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global AI in warehousing market report based on component, application, deployment, organization size, industry, and region:

• Component Outlook (Revenue, USD Million, 2017 - 2030)
• Hardware
• Software
• Application Outlook (Revenue, USD Million, 2017 - 2030)
• Inventory Management
• Order Picking & Sorting
• Warehouse Optimization
• Predictive Maintenance
• Supply Chain Visibility
• Deployment Outlook (Revenue, USD Million, 2017 - 2030)
• Cloud
• On-premises
• Organization Size Outlook (Revenue, USD Million, 2017 - 2030)
• Small & Medium Enterprises (SMEs)
• Large Enterprises
• Industry Outlook (Revenue, USD Million, 2017 - 2030)
• Logistics & Transportation
• Retail & E-commerce
• Healthcare
• Manufacturing
• Food & Beverage
• Others
• Regional Outlook (Revenue, USD Million, 2017 - 2030)
• North America
• U.S.
• Canada
• Mexico
• Europe
• UK
• Germany
• France
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Latin America
• Brazil
• MEA
• UAE
• South Africa
• KSA