Automated Order Picking System Market Global Report 2026

The automated order picking system market size has grown rapidly in recent years. It will grow from $6.16 billion in 2025 to $7.01 billion in 2026 at a compound annual growth rate (CAGR) of 13.8%. The growth in the historic period can be attributed to growth of e-commerce order volumes, increasing demand for warehouse productivity improvements, rising labor shortages in logistics operations, expansion of large-scale distribution centers, growing focus on order accuracy and fulfillment efficiency.

The automated order picking system market size is expected to see rapid growth in the next few years. It will grow to $11.58 billion in 2030 at a compound annual growth rate (CAGR) of 13.4%. The growth in the forecast period can be attributed to increasing investment in smart warehouse infrastructure, rising demand for automated fulfillment solutions, expansion of omnichannel retail operations, growing adoption of robotics-based logistics systems, increasing need for scalable warehouse operations. Major trends in the forecast period include increasing adoption of high-speed warehouse fulfillment systems, growing demand for warehouse space optimization, expansion of multi-order processing capabilities, rising implementation of error reduction technologies, increasing focus on labor efficiency improvement.

The growing demand for e-commerce is expected to drive the growth of the automated order picking system market going forward. E-commerce refers to the buying and selling of products and services through electronic networks over the internet. The expansion of e-commerce is driven by increased internet penetration and widespread smartphone adoption, which have simplified online shopping by enabling customers to browse, compare, and purchase products conveniently from any location at any time. Automated order picking systems support e-commerce operations by enabling the fast and precise retrieval of products from warehouses, reducing manual labor requirements, minimizing picking errors, and accelerating order fulfillment and delivery processes. For instance, in February 2024, according to the U.S. Census Bureau, a U.S.-based government agency, total e-commerce sales in 2023 were estimated at $1.11 trillion, representing a 7.6% increase compared to 2022. Therefore, the growing demand for e-commerce is driving the growth of the automated order picking system market.

Major companies operating in the automated order picking system market are focusing on developing advanced self-learning robotic picking systems to enhance picking accuracy, improve warehouse efficiency, reduce reliance on manual labor, and accelerate order fulfillment processes. A self-learning robotic picking system refers to an artificial intelligence-enabled warehouse automation solution that continuously improves its ability to recognize, handle, and sort products by analyzing operational data without requiring complete manual reprogramming for each new product or operational change. For instance, in January 2024, RightHand Robotics, Inc., a US-based warehouse automation technology company, launched the RightPick 4 robotic picking system for warehouses. The solution is a self-learning automated order fulfillment system that integrates computer vision, machine learning, and advanced robotic gripping technologies to accurately pick individual items from storage bins. It improves gripping performance and adapts to new products and packaging variations through data-driven fleet learning, eliminating the need for extensive manual reprogramming. The system also enhances handling flexibility across diverse product categories while maintaining high picking accuracy and reducing human involvement in warehouse operations.

In March 2024, Honeywell International Inc., a US-based industrial automation company, partnered with Berkshire Grey, Inc. to integrate AI-powered robotic picking technology with warehouse execution software to enhance automated order fulfillment efficiency, accuracy, and productivity. This collaboration aims to improve automated picking and fulfillment operations across retail, e-commerce, grocery, and logistics facilities by combining robotic automation, artificial intelligence, and warehouse management technologies. Berkshire Grey, Inc. is a US-based company that develops AI-driven robotic automation solutions designed to automate warehouse activities, including picking, sorting, packing, and product movement.

Major companies operating in the automated order picking system market report are Murata Machinery Ltd., Jungheinrich AG, Daifuku Co. Ltd., KNAPP AG, SSI SCHÄFER Group, BEUMER Group GmbH & Co. KG, Mecalux S.A., Symbotic Inc., TGW Logistics Group GmbH, Kardex Holding AG, Addverb Technologies Limited, AutoStore Holdings Ltd., HAI ROBOTICS Co. Ltd., Geekplus Technology Co. Ltd., Exotec SAS, GreyOrange Pte. Ltd., Locus Robotics Corp., RightHand Robotics Inc., Plus One Robotics Inc., OSARO Inc., Scallog SAS, Dematic, Vanderlande Industries, KUKA AG, Bastian Solutions, Witron Logistik + Informatik GmbH.

North America was the dominating region in the automated order picking system market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the automated order picking system market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the automated order picking system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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