Our 2026 global market reports are now updated with the latest data, delivering insights into key trends, segments, and growth drivers.
The artificial intelligence-powered robot picker market is gaining remarkable attention as industries increasingly turn to automation for efficiency and speed. With technological advances and growing operational demands, this market is set to experience substantial expansion over the coming years.
Below, we explore the current market size, key drivers, leading companies, and notable trends shaping this dynamic sector.
Steady Growth Expected in the Artificial Intelligence-Powered Robot Picker Market
The artificial intelligence-powered robot picker market is projected to grow significantly, reaching a valuation of $4.6 billion by 2030. This expansion reflects a compound annual growth rate (CAGR) of 20.5%, driven by advancements in AI perception technologies, increasing investments in smart warehouses, the need for faster order fulfillment, adoption of flexible manufacturing, and the rise of robotics-as-a-service models.
Key trends anticipated during this period include enhanced vision-based item recognition, fully autonomous robotic picking systems, AI-supported grasp optimization, high-speed automated order processing, and collaborative picking between humans and robots.
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Labor Shortages Drive Adoption of AI-Powered Robot Pickers
One of the primary forces behind the market’s growth is the ongoing shortage of labor and the resulting increase in wages within warehousing and logistics sectors. As the availability of skilled workers diminishes while demand across manufacturing, logistics, and service industries rises, companies are turning to automation to fill the gap.
AI-powered robot pickers alleviate workforce constraints by automating repetitive picking tasks, reducing dependence on manual labor, and enabling steady productivity with lower labor costs over time.
Rising Wage Pressure Further Accelerates Market Expansion
In addition to labor shortages, escalating wage costs are pushing companies to adopt robotic picking solutions.
According to data from the U.S.
Bureau of Labor Statistics in December 2025, warehousing employment remained relatively flat at approximately 1.8 million jobs, indicating little relief in labor supply despite persistent demand. This stagnation underscores the pressure on businesses to find cost-effective alternatives, making AI-enabled robotic pickers increasingly attractive.
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Key Market Segments Defining the Artificial Intelligence-Powered Robot Picker Industry
The market is segmented based on several important criteria to capture the diversity of offerings and applications. These include:
1) Component Types: Hardware, Software, and Services
2) Picking Object Types: Fixed Robotic Arm Picking Workstations, Automated Guided Vehicle combined with Robotic Arm Integrated Picking Robots, and Collaborative Robotic Arms
3) Perception and Algorithm Technologies: 2D Vision with Barcode Recognition, 3D Vision paired with Posture Estimation, and Vision combined with Force Control Fusion
4) Sales Channels: Direct Sales, System Integrators, Value-Added Resellers, and Original Equipment Manufacturers
5) End Use Industries: Manufacturing, Automotive, Electronics, Logistics and Warehousing, Healthcare, and Retail
Further subcategories break down hardware into robotic arms, grippers and end effectors, sensors and cameras, actuators, and control units. Software covers navigation, vision processing, machine learning, task scheduling, and fleet management.
Services include installation, maintenance, training, integration, and software updates.
Innovations and Trends Shaping the Future of AI-Powered Robot Picker Market
Leading companies in this industry are focusing on creating advanced AI-powered robotic pickers capable of handling complex, unstructured picking tasks within warehouse environments. These vision-enabled robots use machine learning combined with intelligent gripping mechanisms — such as suction-based end effectors — to identify, grasp, and place a wide variety of items without needing item-specific pre-programmed data.
For example, ABB Robotics launched its AI-powered Robotic Item Picker in May 2023, which leverages sophisticated computer vision and machine learning techniques to pick a broad array of items quickly and reliably. Its adaptive gripping technology manages mixed, irregular, and fragile objects while integrating seamlessly with existing warehouse management systems for flexible deployment.
Regional Market Performance and Growth Prospects
In 2025, North America held the largest share of the artificial intelligence-powered robot picker market. However, the Asia-Pacific region is expected to experience the fastest growth during the forecast period.
The market research covers key geographic areas including Asia-Pacific, Southeast Asia, Western and Eastern Europe, North and South America, the Middle East, and Africa, providing a comprehensive view of global market dynamics.
Leading Companies Driving Innovation and Market Expansion
Several prominent firms are at the forefront of the artificial intelligence-powered robot picker industry, including Fanuc Corp., Yaskawa Electric Corporation, Knapp AG, Kardex Remstar LLC, Addverb Technologies Pvt. Ltd., Exotec SAS, Kawasaki Robotics, Mobile Industrial Robots A/S, Locus Robotics Inc., 6 River Systems Inc., Sanctuary AI Corporation, Agility Robotics Inc., Brightpick Robotics Inc., Apptronik Inc., Vecna Robotics Inc., RightHand Robotics Inc., Plus One Robotics Inc., inVia Robotics Inc., XYZ Robotics Inc., and EVS Tech Co.
Ltd. These companies are shaping the market through continuous innovation and expanding applications of AI-enabled robotic picking technologies.
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