Enhanced with market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports deliver more actionable and strategically valuable research.
Artificial Intelligence (AI) In Logistics Automation Market Revenue Growth Supported By A CAGR Of 1141.51% Through 2030
The artificial intelligence (AI) in logistics automation market has experienced substantial growth in recent years. It is anticipated to expand from $12.29 billion in 2025 to $16.45 billion by 2026, exhibiting a compound annual growth rate (CAGR) of 33.8%. This historical expansion can be attributed to factors like the increasing demand for e-commerce logistics, the development of warehouse automation systems, the rising implementation of transportation management software, the growing globalization of supply chains, and the early incorporation of machine learning into logistics planning.
The artificial intelligence (AI) in logistics automation market is projected to experience substantial growth over the coming years, with an anticipated expansion to $53.14 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 34.1%. This development during the forecast period can be attributed to various factors such as advancements in autonomous delivery vehicles and drones, the broadening of AI-driven supply chain orchestration platforms, increased demand for real-time logistics visibility, the expansion of edge computing in warehouse operations, and a heightened focus on cost-efficient and sustainable logistics operations. Furthermore, significant trends expected within this period include the emergence of hyperlocal last-mile delivery optimization platforms, a rising adoption of predictive demand-based inventory positioning, the enlargement of autonomous drone and vehicle-based delivery networks, increasing integration of digital twin models for logistics simulation, and a substantial surge in cross-border e-commerce logistics automation and customs digitization.
Download A Free Sample Report For Comprehensive Market Insights:
Artificial Intelligence (AI) In Logistics Automation Market Growth Drivers: What Factors Are Accelerating Expansion?
The expanding e-commerce sector is anticipated to drive the advancement of the artificial intelligence (AI) in logistics automation market in the future. E-commerce involves the transaction of products or services via digital channels and internet-based systems. This growth in e-commerce stems from the widespread adoption of smartphones and improved internet access, allowing consumers the convenience of browsing, comparing, and buying items at any moment and from almost anywhere. The growth of e-commerce fuels the need for artificial intelligence (AI) in logistics automation, as it leads to higher order volumes and heightened delivery expectations. This, in turn, encourages warehouses to integrate AI-driven solutions to enhance the speed and precision of picking, sorting, packaging, and inventory management tasks. As an illustration, data released in May 2026 by the Census Bureau, a US-based government agency, showed that e-commerce estimates for the first quarter of 2026 saw an increase of 9.7% (±1.8%) when contrasted with the identical period in 2025. Consequently, the ongoing expansion of e-commerce is a key factor propelling the development of the artificial intelligence (AI) in logistics automation market.
Artificial Intelligence (AI) In Logistics Automation Market Segmentation Trends And Revenue Drivers
The artificial intelligence (AI) in logistics automation market covered in this report is segmented –
1) By Components: Hardware; Software; Services
2) By Deployment Modes: Cloud-Based; On-Premises; Hybrid
3) By Enterprise Sizes: Small And Medium Enterprises; Large Enterprises
4) By Applications: Warehouse Automation; Fleet Management And Autonomous Vehicles; Last-Mile Delivery; Supply Chain Planning And Forecasting; Customer Service And Experience; Cross-Border Logistics And Customs Automation
5) By End-User Industry: E-Commerce And Retail; Manufacturing; Transportation And Logistics; Food And Beverage; Pharmaceuticals
Subsegments:
1) By Hardware: Autonomous Mobile Robots; Automated Guided Vehicles; Sensors; Cameras; Radio Frequency Identification Devices; Industrial Robots; Automated Storage And Retrieval Systems; Drones; Conveyor Systems
2) By Software: Transportation Management Software; Warehouse Management Software; Inventory Optimization Software; Predictive Analytics Software; Route Optimization Software; Supply Chain Visibility Software; Fleet Management Software; Order Management Software
3) By Services: Consulting Services; System Integration Services; Deployment Services; Maintenance And Support Services; Managed Services; Training Services; Data Analytics Services; Cloud Services
Artificial Intelligence-Powered Grid-Based Robotic Fulfillment System Boosts Warehouse Efficiency And Order Throughput
Major companies operating in the artificial intelligence (AI) in logistics automation market are focusing on developing innovative solutions, such as AI-powered grid-based robotic fulfillment systems, to enhance operational efficiency, accelerate order processing, and improve warehouse throughput. AI-powered grid-based robotic fulfillment systems are warehouse automation systems that use artificial intelligence-driven robots operating within a structured grid layout to efficiently store, retrieve, and process orders with minimal human intervention. For instance, in March 2026, Brightpick Inc., a US-based warehouse robotics and automation company, launched Gridpicker, an AI-powered grid-based robotic fulfillment system to enable high-throughput, fully automated warehouse order picking and fulfillment operations. The system is built on Brightpick’s established Autopicker technology and uses AI-powered mobile manipulators operating within a dense grid storage architecture to execute autonomous item picking and order consolidation. It integrates computer vision, machine learning-based task allocation, and real-time fleet orchestration to optimize picking paths and minimize idle time. The solution is designed to significantly increase warehouse throughput, reduce labor dependency, and enhance fulfillment speed and accuracy, positioning it as a next-generation alternative to conventional automated storage and retrieval systems.
#Artificial Intelligence (AI) In Logistics Automation Market Industry Leaders: Which Organizations Are Driving Competition?
Major companies operating in the artificial intelligence (AI) in logistics automation market are Amazon Robotics LLC; Oracle Corporation; Siemens AG; ABB Ltd.; Daifuku Co. Ltd.; KUKA AG; Zebra Technologies Corp.; Kardex Holding AG; Manhattan Associates Inc.; Dematic Corp.; Ocado Group plc; Blue Yonder Group Inc.; Symbotic Inc.; AutoStore Holdings Ltd.; Swisslog Holding AG; Boston Dynamics Inc.; GreyOrange Pte. Ltd.; Geekplus Technology Co. Ltd.; Addverb Technologies Pvt. Ltd.; Locus Robotics Corporation; Fortna Inc.; Llama Logisol Private Limited; FarEye Technologies Inc.; Brightpick Inc.
Access The Complete Artificial Intelligence (AI) In Logistics Automation Market Report:
#Artificial Intelligence (AI) In Logistics Automation Market Largest Region: Which Geography Holds The Highest Market Share?
North America was the largest region in the artificial intelligence (AI) in logistics automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in logistics automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Get in touch with us:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.