Automated Order Picking Market - Global Forecast 2025-2032

The automated order picking market is transforming modern supply chains by enabling faster, more accurate, and scalable fulfillment operations. As businesses face increasing complexity from e-commerce and shifting customer demands, automation is becoming a strategic imperative for logistics optimization.

Market Snapshot: Automated Order Picking Market Size and Growth

The Automated Order Picking Market grew from USD 9.91 billion in 2024 to USD 11.14 billion in 2025. It is expected to continue growing at a CAGR of 12.14%, reaching USD 24.80 billion by 2032.

Scope & Segmentation of the Automated Order Picking Market

• Technologies: Covers Automated Storage and Retrieval Systems, Autonomous Mobile Robots, Conveyors and Sorters, and Goods-To-Person systems. Includes subtypes such as Micro-Load, Mini-Load, Unit-Load, Laser-Guided, Vision-Guided, Belt Conveyors, Parcel Sorters, and Roller Conveyors.
• End-User Industries: Spans Automotive, E-Commerce & Retail (including Electronics, Fashion, Grocery), Food & Beverage, Healthcare & Pharmaceuticals, Logistics & Distribution (covering In-House Distribution Centers and Third-Party Logistics).
• Components: Profiles Hardware (Actuators, Conveyance Components, Sensors & Cameras), Services (Consulting & Integration, Maintenance & Support), and Software (Robotics Management, Warehouse Control, Warehouse Management).
• Functions: Includes Packaging (Boxing, Labeling, Wrapping), Palletizing, Picking, and Sortation (Cross-Belt, High-Speed).
• Warehouse Types: Examines Cold Storage and Non-Temperature Controlled environments.
• Regions: Analyzes Americas (North America: United States, Canada, Mexico; Latin America: Brazil, Argentina, Chile, Colombia, Peru), EMEA (Europe: United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland; Middle East: UAE, Saudi Arabia, Qatar, Turkey, Israel; Africa: South Africa, Nigeria, Egypt, Kenya), and Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan).
• Companies: Assesses Dematic GmbH, Honeywell Intelligrated, Swisslog Holding AG, Knapp AG, Daifuku Co., Murata Machinery, and TGW Logistics Group .

Key Takeaways: Strategic Insights for Senior Leaders

• Automated order picking solutions are reshaping warehouse operations by integrating advanced robotics with intelligent software for real-time fulfillment and precision control.
• Technology adoption supports seamless scalability, ergonomic improvements, and dynamic adaptation to SKU complexity and omnichannel fulfillment needs.
• Labor cost pressures and workforce challenges have accelerated investment in automation and modular systems, enabling phased deployment without operational disruption.
• End-user segments such as automotive, food & beverage, and healthcare leverage automation not only for speed but also for compliance, hygiene, and traceability requirements.
• Regional adoption patterns vary: Near-shoring trends in the Americas, digital factory modernization in EMEA, and large-scale deployment in Asia-Pacific all shape the competitive landscape.

Tariff Impact on Automated Order Picking Technologies

Starting in 2025, changes in United States import duties for robotics components are creating new cost pressures throughout automated order picking systems. These tariffs are prompting companies to reassess sourcing and supply chain strategies. Many organizations are focusing on localizing manufacturing, diversifying suppliers, and negotiating contracts proactively to reduce risk. This adaptation underscores the broader push toward increased resilience and efficiency in operational planning.

Methodology & Data Sources

This report combines secondary research from technical journals, industry white papers, regulatory filings, and proprietary databases with targeted primary interviews from industry stakeholders. Data triangulation, structured interviews, and peer-reviewed analysis ensure both accuracy and credible forecasting.

Why This Report Matters for Decision-Makers

• Enables informed investment and technology adoption decisions, benchmarking leading providers and segment growth.
• Offers actionable guidance for supply chain resilience, tariff strategy, and workforce development in automation projects.
• Supports strategic planning by highlighting regional adoption trends and operational innovation drivers.

Conclusion

Automated order picking is redefining supply chain performance through innovation, resilience, and scalable deployment strategies. This report delivers actionable intelligence to help senior leaders navigate technology choices, mitigate regulatory risks, and achieve operational excellence.

 

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