Artificial Intelligence (AI) in Logistics Automation Market Global Report 2026

The artificial intelligence (AI) in logistics automation market size has grown exponentially in recent years. It will grow from $12.29 billion in 2025 to $16.45 billion in 2026 at a compound annual growth rate (CAGR) of 33.8%. The growth in the historic period can be attributed to growth of e commerce logistics demand, expansion of warehouse automation systems, rising adoption of transportation management software, increasing globalization of supply chains, early integration of machine learning in logistics planning.

The artificial intelligence (AI) in logistics automation market size is expected to see exponential growth in the next few years. It will grow to $53.14 billion in 2030 at a compound annual growth rate (CAGR) of 34.1%. The growth in the forecast period can be attributed to advancement in autonomous delivery vehicles and drones, expansion of ai driven supply chain orchestration platforms, rising demand for real time logistics visibility, growth of edge computing in warehouse operations, increasing focus on cost efficient and sustainable logistics operations. Major trends in the forecast period include rise of hyperlocal last-mile delivery optimization platforms, increasing adoption of predictive demand-based inventory positioning, expansion of autonomous drone and vehicle-based delivery networks, growing integration of digital twin models for logistics simulation, surge in cross-border e-commerce logistics automation and customs digitization.

The expansion of e-commerce is expected to propel the growth of the artificial intelligence (AI) in logistics automation market going forward. E-commerce refers to the process of buying and selling goods or services through digital platforms and online networks. The expansion of e-commerce is driven by the increasing use of smartphones and internet connectivity, enabling consumers to conveniently browse, compare, and purchase products anytime and from virtually any location. The expansion of e-commerce is increasing the demand for artificial intelligence (AI) in logistics automation by driving higher order volumes and delivery expectations, prompting warehouses to adopt AI-powered systems that accelerate picking, sorting, packaging, and inventory management operations with greater accuracy and efficiency. For instance, in May 2026, according to the Census Bureau, a US-based government agency, e-commerce estimates for the first quarter of 2026 increased by 9.7% (±1.8%) compared to the corresponding period in 2025. Therefore, the expansion of e-commerce is driving the growth of the artificial intelligence (AI) in logistics automation market.

Leading 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 example, 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.

In September 2023, Logility Inc., a US-based supply chain planning software company, acquired Garvis for an undisclosed amount. Through this acquisition, Logility aims to strengthen its artificial intelligence-driven supply chain planning capabilities by incorporating generative artificial intelligence, machine learning, and AI-native demand forecasting into its digital supply chain platform to improve forecasting accuracy and operational decision-making. Garvis Analytics NV is a Belgium-based software-as-a-service company that specializes in artificial intelligence (AI) for logistics automation, with a particular focus on automating supply chain and logistics planning processes.

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.

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. The countries covered in the artificial intelligence (AI) in logistics automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in logistics automation market consists of revenues earned by entities by providing services such as route optimization, demand forecasting, warehouse automation, shipment tracking, and fleet management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in logistics automation market also includes sales of warehouse automation systems, autonomous robots, and smart warehouse management systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence (AI) in logistics automation market research report is one of a series of new reports that provides artificial intelligence (AI) in logistics automation market statistics, including artificial intelligence (AI) in logistics automation industry global market size, regional shares, competitors with a artificial intelligence (AI) in logistics automation market share, detailed artificial intelligence (AI) in logistics automation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in logistics automation industry. This artificial intelligence (AI) in logistics automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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