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Automated order picking market seen reaching $11.58 billion by 2030

4 hours ago
By AI, Created 12:18 UTC, Sep 17, 2026, AGP -

The automated order picking system market is projected to rise from $6.16 billion in 2025 to $11.58 billion by 2030, driven by e-commerce growth, warehouse automation and labor shortages. North America led the market in 2025, while Asia-Pacific is expected to grow fastest through the forecast period.

Why it matters: - Automated order picking systems are becoming a core part of warehouse and distribution-center operations as retailers and logistics firms push for faster fulfillment and fewer errors. - The market forecast points to continued spending on automation, robotics and smart warehouse infrastructure through 2030. - E-commerce growth is increasing order volumes and making automated picking more valuable for speed, accuracy and labor efficiency.

What happened: - The Business Research Company projected the automated order picking system market will grow from $6.16 billion in 2025 to $7.01 billion in 2026. - The firm forecast the market will reach $11.58 billion by 2030. - The report said the market is expanding because of e-commerce order growth, warehouse productivity pressures, logistics labor shortages, larger distribution centers and a stronger focus on order accuracy. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period.

The details: - Automated order picking systems use computer-controlled machinery and robotic equipment to select products from storage and move them to packing or shipping stations. - The systems are designed to improve operational efficiency, reduce human error, speed order processing and optimize storage use. - The forecast period runs through 2030, with a projected compound annual growth rate of 13.4% for 2026 to 2030. - The report identified emerging trends including high-speed fulfillment systems, optimized warehouse space, multi-order processing, error-reduction technologies and labor-efficiency improvements. - The market outlook also points to broader adoption of robotics in logistics and more demand for scalable warehouse solutions. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The company also highlighted new report features including market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel dashboards, market hotspots infographics, and updated graphics and tables. - A free sample of the report is available here. - The full report is available here.

Between the lines: - The forecast reflects a wider shift in warehouses from manual picking toward automation as online retail becomes more inventory-intensive and time-sensitive. - The combination of labor shortages and rising order volumes gives automation vendors a strong near-term demand backdrop. - North America's current lead suggests the region has already adopted more warehouse automation, while Asia-Pacific's growth outlook points to faster modernization across high-volume logistics markets.

What's next: - The report expects investments in smart warehouses and robotics to keep supporting market expansion through 2030. - Continued e-commerce growth and omnichannel retail adoption are likely to keep pressure on fulfillment systems to move faster and handle more orders with fewer errors. - The market will likely reward technologies that improve throughput, reduce labor dependence and make better use of warehouse space.

The bottom line: - Automated order picking is moving from a niche efficiency tool to a central warehouse technology, and the market forecast shows that shift is accelerating.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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