Warehouse Order Picking - Global Strategic Business Report

The global market for Warehouse Order Picking was estimated at US$9.9 Billion in 2024 and is projected to reach US$17.2 Billion by 2030, growing at a CAGR of 9.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Warehouse Order Picking market.

Global Warehouse Order Picking Market - Key Trends & Drivers Summarized

Why Is Warehouse Order Picking Becoming a Priority for Logistics Efficiency?

Warehouse order picking is a crucial component of supply chain operations, directly impacting order accuracy, fulfillment speed, and customer satisfaction. As consumer expectations for fast and accurate deliveries rise, businesses are prioritizing efficient order-picking strategies to reduce operational costs and improve service levels. Traditional manual picking methods are being replaced by advanced solutions such as pick-to-light, voice-directed picking, and robotic picking systems to enhance efficiency. The growth of e-commerce and direct-to-consumer (DTC) shipping has further increased the complexity of warehouse order picking, requiring warehouses to handle high order volumes while maintaining precision. Industries such as retail, pharmaceuticals, and manufacturing are adopting order-picking automation to minimize errors and optimize workflow, ensuring streamlined warehouse operations. As businesses strive to improve last-mile logistics and reduce order processing times, order-picking innovations are becoming central to warehouse efficiency strategies.

How Are Robotics and AI Transforming Warehouse Order Picking?

Technological advancements in robotics, AI, and data analytics are revolutionizing warehouse order-picking processes, making them faster, more accurate, and cost-efficient. AI-driven warehouse management systems (WMS) analyze real-time order data to optimize picking routes and prioritize urgent shipments, reducing picking time and labor costs. Robotic picking systems, including autonomous mobile robots (AMRs) and robotic arms, are increasingly being integrated into warehouse operations, allowing for seamless item retrieval and order consolidation. Vision-guided picking technology enhances accuracy by enabling robots and warehouse workers to identify and select items with greater precision. Wearable technology, such as smart glasses and voice-guided picking headsets, further streamlines order fulfillment by providing hands-free navigation and real-time inventory tracking. As AI-powered automation continues to evolve, warehouse order picking is becoming more adaptive, data-driven, and scalable, improving overall supply chain efficiency.

What Challenges Are Impacting the Adoption of Automated Order Picking?

Despite its advantages, warehouse order picking faces several challenges, including high implementation costs, workforce adaptation, and integration with existing logistics infrastructure. The deployment of automated picking systems requires significant capital investment in robotics, AI, and warehouse automation technologies, making it less accessible for small and mid-sized enterprises. Additionally, integrating order-picking solutions with legacy warehouse management systems (WMS) and enterprise resource planning (ERP) software can be complex, requiring extensive customization. Another challenge is workforce adaptation, as employees need training to operate AI-driven picking technologies effectively. Furthermore, maintaining accuracy in high-mix, low-volume warehouse environments presents difficulties, particularly when dealing with fragile or irregularly shaped items. Addressing these challenges requires cost-effective automation solutions, enhanced training programs, and flexible picking technologies that adapt to diverse warehouse layouts.

What Factors Are Driving the Growth of the Warehouse Order Picking Market?

The growth in the warehouse order picking market is driven by several factors, including the expansion of e-commerce, increasing adoption of robotics in warehouses, and the push for real-time inventory visibility. The rise of omnichannel retailing has intensified the need for efficient order fulfillment, compelling businesses to invest in automated picking solutions that improve accuracy and reduce lead times. The increasing use of AI-driven analytics and predictive demand forecasting has further optimized order-picking processes, allowing businesses to anticipate and manage fluctuations in order volumes. Additionally, the shift towards smart warehouses and digital supply chain integration has fueled demand for real-time tracking and automated sorting technologies. The expansion of urban fulfillment centers and last-mile delivery hubs has also contributed to market growth, as companies seek to enhance distribution efficiency in high-density areas. As warehouse automation continues to advance, the demand for intelligent order-picking solutions is expected to grow, driving further innovation in robotics, AI, and logistics technology.

Report Scope

The report analyzes the Warehouse Order Picking market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.

Segments: Method (Single Order Picking, Multiple Order Picking); Technology (Automated Storage & Retrieval Systems, Automated Guided Vehicles/Autonomous Mobile Robots, Conveyor Systems, Scanners, Others); Deployment (Cloud, On-Premise); End-Use (Construction, Manufacturing, Retail, E-Commerce, Healthcare, Pharma & Cosmetics, Transportation & Logistics, Others)

Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the Single Order Picking segment, which is expected to reach US$9.7 Billion by 2030 with a CAGR of a 8.1%. The Multiple Order Picking segment is also set to grow at 11.8% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, estimated at $2.7 Billion in 2024, and China, forecasted to grow at an impressive 12.9% CAGR to reach $3.4 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Why You Should Buy This Report:

• Detailed Market Analysis: Access a thorough analysis of the Global Warehouse Order Picking Market, covering all major geographic regions and market segments.
• Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
• Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Warehouse Order Picking Market.
• Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.

Key Questions Answered:

• How is the Global Warehouse Order Picking Market expected to evolve by 2030?
• What are the main drivers and restraints affecting the market?
• Which market segments will grow the most over the forecast period?
• How will market shares for different regions and segments change by 2030?
• Who are the leading players in the market, and what are their prospects?

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of players such as AutoStore, BEUMER Group, Berkshire Grey, Dematic, Honeywell Intelligrated and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Select Competitors (Total 34 Featured):

• AutoStore
• BEUMER Group
• Berkshire Grey
• Dematic
• Honeywell Intelligrated
• Körber AG
• Locus Robotics
• Manhattan Associates
• Modula S.p.A.
• Murata Machinery, Ltd.
• Numina Group
• Oracle Corporation
• PTC Inc.
• SAP SE
• Siggins
• Softeon
• SSI SCHAEFER
• Swisslog Holding AG
• Toyota Industries Corporation
• ULMA Handling Systems

Tariff Impact Analysis: Key Insights for 2025

Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.

The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.

What’s Included in This Edition:

• Tariff-adjusted market forecasts by region and segment
• Analysis of cost and supply chain implications by sourcing and trade exposure
• Strategic insights into geographic shifts

Buyers receive a free July 2025 update with:

• Finalized tariff impacts and new trade agreement effects
• Updated projections reflecting global sourcing and cost shifts
• Expanded country-specific coverage across the industry