Global Warehouse Order Picking Software Market

According to a new report published by Introspective Market Research, titled, “Warehouse Order Picking Software Market by Type, Deployment Model, Picking System, and Application: Global Opportunity Analysis and Industry Forecast, 2024–2032,” 

Warehouse Order Picking Software Market Size Was Valued at USD 9.11 Billion in 2023 and is Projected to Reach USD 19.48 Billion by 2032, Growing at a CAGR of 11.2% From 2024-2032.

Warehouse Order Picking Software is a technology solution that improves the process of picking items from a warehouse or distribution center. Typical features include inventory management, order routing, real-time location tracking, and picking route optimization. The software aims to increase efficiency, accuracy, and speed in fulfilling customer orders by providing warehouse workers with the information and tools they need to pick items quickly and accurately.

Warehouse Order Picking Softwaremay include barcode scanning to identify items, pick-to-light or pick-to-voice functionality for hands-free picking, and integration with warehouse management systems (WMS) or enterprise resource planning (ERP) systems for seamless order processing. Some advanced solutions may use artificial intelligence (AI) and machine learning to analyze historical data and predict the best picking routes or inventory replenishment needs.

The growing complexity of warehouse operations, combined with the need for accuracy in order fulfillment, has increased the market for Warehouse Order Picking Software. Manual picking procedures become ineffective and costly as warehouses manage multiple order types and handle a higher volume of SKUs.

The growing formation of technology such as barcode scanning, pick-to-light systems, and RFID (radio-frequency identification) tracking into Warehouse Order Picking Software is propelling market expansion. These technologies allow for faster and more accurate picking processes by providing warehouse workers with real-time information and guidance on the location of items to be picked.

The Warehouse Order Picking Software Market is segmented into Type, Deployment Mode, Picking System, Application, and region. By Type, the market is categorized into Barcode scanning/RFID picking, Paper-based picking, Voice-directed picking, and Pick-to-light. By Deployment Model, the market is categorized into Cloud-based and On-premise. By Picking System, the market is categorized into wave picking, batch picking, and zone picking. By Application, the market is categorized into E-Commerce, Construction, Retail, Transportation & Logistics, and Healthcare. By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

Businesses expanding their product offerings and target to diverse customer demands, also warehouses are faced with handling an increasingly broad range of stock-keeping units (SKUs). Manual picking methods struggle to keep up with this complexity, resulting in inefficiencies and errors in order fulfilment. Warehouse order picking software addresses this issue by offering sophisticated tools for managing different SKU types, locations, and picking strategies, resulting in optimal selection and streamlined processes. ​

Additionally, the need for increased operational efficiency and productivity causes up demand for warehouse order-picking software. Manual picking methods frequently result in time-consuming processes and errors, which can cause delays and customer dissatisfaction. Warehouse order picking software automates and optimizes picking processes, resulting in fewer errors and shorter fulfillment times.

Global Warehouse Order Picking Software Market, Segmentation

The Warehouse Order Picking Software market is segmented based on Type, Deployment Model, Picking System, and Application, And Region.

Type:

Barcode scanning and RFID technology are becoming widely used in warehouse operations, which improves inventory visibility and accuracy, lowers error rates, and increases order fulfillment efficiency.  Real-time tracking of inventory movements is made possible by these technologies, which help warehouses allocate resources and pick routes more efficiently, increasing productivity and lowering costs. Modern warehouse order-picking software solutions use barcode scanning and RFID technology to automate data capture processes, streamline order-picking workflows, and provide real-time inventory levels and locations. As warehouses attempt to improve operational efficiency and customer responsiveness, demand for robust barcode scanning/RFID picking solutions is expected to remain high, driving the growth of this segment.

Application:

The exponential growth of e-commerce has resulted in an unprecedented increase in order volume and demand for efficient order fulfillment solutions. Online retailers struggle to meet customer expectations for quick and accurate deliveries, making advanced warehouse order-picking software essential for optimizing picking processes, reducing errors, and improving overall operational efficiency. The increasing competition in the e-commerce industry requires businesses to invest in advanced technologies to gain a competitive advantage. Warehouse order-picking software makes it possible for e-commerce companies to streamline their fulfillment operations, shorten order processing times, and improve order accuracy, resulting in increased customer satisfaction and loyalty.

Region:

Asia Pacific is poised for rapid growth, due to the region's growing e-commerce industry, which has increased demand for advanced order fulfillment solutions. Consumers are increasingly turning to online shopping and e-commerce, while businesses are modernizing warehouse operations and improving order-picking efficiency. This increased demand for efficient order-picking solutions is driving the adoption of warehouse order-picking software throughout the Asia-Pacific region. Manufacturing activities continue to thrive in China, India, Japan, South Korea, and Southeast Asian countries such as Vietnam, Thailand, and Indonesia, creating a growing demand for automated warehouse solutions to support production and distribution operations.

Some of the leading Warehouse Order Picking Software market players are

• iVision (US)
• Lightning Pick (US)
• Lucas Systems (US)
• Veeqo (UK)
• Scandit (Switzerland)
• ABB Group (Switzerland)
• Boltrics (Netherlands)
• TGW Group (Austria)
• Iptor (Sweden)
• Euclid Labs (Italy)
• Increff (India)
• Calidus LLC (UAE), and Other Active Players.

Key Industry Developments

• In April 2023, ABB Robotics launched an AI-enabled robotic item picker that helps customers automate order picking and sorter induction operations, and it fulfills ABB's vision of a fully automated warehouse by combining automated storage and automated order picking.

 Key Findings of the Study / Key Industry Developments. 

• The integration of advanced technologies such as barcode scanning, RFID tracking, pick-to-light, and pick-to-voice systems into Warehouse Order Picking Software is significantly propelling market expansion. These technologies enhance picking accuracy and speed by providing real-time information and hands-free guidance to warehouse workers.
• The Asia-Pacific region is experiencing rapid growth in the Warehouse Order Picking Software market due to the burgeoning e-commerce industry and the increasing need for advanced order fulfillment solutions. Countries like China, India, and Japan, along with Southeast Asian nations, are seeing significant demand for automated warehouse solutions to support both e-commerce and manufacturing activities.