Automated Order Picking System Global Market Report 2026

An automated order picking system is a warehouse automation solution that uses computer-controlled machines and robotic equipment to automatically retrieve products from storage areas and transfer them to packing or shipping stations for order processing. These systems are designed to enhance operational efficiency, minimize human errors, accelerate order fulfillment, optimize storage utilization, and manage high-volume orders with consistent accuracy.

The primary components of automated order picking systems include hardware, software, and services. Hardware refers to physical automation equipment and infrastructure used to identify, pick, and transport items efficiently within warehouses and distribution centers. These systems use technologies such as automated guided vehicles, robotic picking systems, conveyor systems, vision systems, and sorting systems and are categorized into system types including single order picking systems, batch order picking systems, zone picking systems, pick-to-light systems, and voice picking systems. They are deployed through on-premise systems, cloud-based systems, and hybrid systems, and the various applications include e-commerce, retail distribution centers, food and beverage, pharmaceuticals, and manufacturing.

Tariffs are influencing the automated order picking system market by increasing the cost of imported robotics equipment, sensors, semiconductors, conveyor components, and warehouse automation hardware required for automated fulfillment operations. This is slowing system deployment and warehouse modernization initiatives, particularly in regions dependent on imported industrial equipment such as Asia-Pacific and Latin America. Hardware-intensive segments such as robotic picking systems, automated guided vehicles, conveyor systems, and sensors and vision systems are most affected due to global supply chain dependencies. However, tariffs are also encouraging local manufacturing, regional supplier diversification, and increased investments in domestic warehouse automation ecosystems, creating long-term resilience in the market.

The automated order picking system market research report is one of a series of new reports from The Business Research Company that provides automated order picking system market statistics, including automated order picking system industry global market size, regional shares, competitors with a automated order picking system market share, detailed automated order picking system market segments, market trends and opportunities, and any further data you may need to thrive in the automated order picking system industry. This automated order picking system 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.

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 $1,118.7 billion, 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 SCHAFER 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.

The automated order picking system market consists of revenues earned by entities by providing services such as order fulfillment service, inventory handling service, sorting and distribution service, real-time tracking and monitoring service, and supply chain optimization service. The market value includes the value of related goods sold by the service provider or included within the service offering. The automated order picking system market also includes sales of robotic picking systems, conveyor systems, automated storage and retrieval systems, and sortation 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.

Automated Order Picking System Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses automated order picking system market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for automated order picking system ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The automated order picking system market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Hardware; Software; Services
• 2) By Technology: Automated Guided Vehicles; Robotic Picking Systems; Conveyor Systems; Vision Systems; Sorting Systems
• 3) By System Type: Single Order Picking Systems; Batch Order Picking Systems; Zone Picking Systems; Pick To Light Systems; Voice Picking Systems
• 4) By Deployment Mode: On Premise Systems; Cloud Based Systems; Hybrid Systems
• 5) By Application: Electronic Commerce; Retail Distribution Centers; Food And Beverage; Pharmaceuticals; Manufacturing
• Subsegments:
• 1) By Hardware: Robotic Arms; Sensors And Vision Systems; Control Systems; Sortation Equipment
• 2) By Software: Warehouse Management Software; Order Management Software; Inventory Optimization Software; Machine Learning Based Control Software; Simulation And Planning Software
• 3) By Services: System Integration Services; Maintenance And Support Services; Consulting Services; Installation Services; Training Services
• Companies Mentioned: Murata Machinery Ltd.; Jungheinrich AG; Daifuku Co. Ltd.; KNAPP AG; SSI SCHAFER 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
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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