AI-Powered Robot Picker Market Report 2026

The artificial intelligence (AI)-powered robot picker market size has grown exponentially in recent years. It will grow from $1.81 billion in 2025 to $2.18 billion in 2026 at a compound annual growth rate (CAGR) of 20.3%. The growth in the historic period can be attributed to warehouse automation adoption, rising labor shortages, growth in e-commerce fulfillment, early robotics integration, cost reduction initiatives.

The artificial intelligence (AI)-powered robot picker market size is expected to see exponential growth in the next few years. It will grow to $4.6 billion in 2030 at a compound annual growth rate (CAGR) of 20.5%. The growth in the forecast period can be attributed to AI perception improvements, smart warehouse investments, demand for faster fulfillment, flexible manufacturing adoption, robotics-as-a-service models. Major trends in the forecast period include vision-based item recognition, autonomous robotic picking systems, ai-driven grasp optimization, high-speed order fulfillment automation, human-robot collaborative picking.

The intensifying labor shortages and rising wage pressures are expected to accelerate the growth of the artificial intelligence-powered robot picker market going forward. Labor shortages and wage pressures refer to limited worker availability in warehousing and logistics roles alongside increasing compensation costs. These challenges are intensifying due to shrinking availability of skilled labor compared with growing demand across logistics, manufacturing, and service sectors. Artificial intelligence-powered robot pickers address these pressures by automating repetitive picking tasks, reducing dependence on manual labor, and enabling consistent productivity with lower long-term labor expenses. For instance, in December 2025, according to the U.S. Bureau of Labor Statistics, warehousing employment remained largely stable at 1.81 million seasonally adjusted, showing minimal change since April 2025 after peaking near 1.82 million in August 2025, highlighting ongoing labor supply limitations. Therefore, the intensifying labor shortages and wage pressures are driving the growth of the artificial intelligence-powered robot picker market.

Leading companies in the artificial intelligence-powered robot picker market are focusing on developing advanced solutions, such as AI-enabled robotic item pickers, to automate unstructured picking tasks in warehouse environments. AI-enabled robotic item pickers refer to vision-based robotic systems that combine machine learning algorithms with intelligent grippers, such as suction-based end effectors, to identify, grasp, and place a wide variety of items without requiring prior item-specific data. For example, in May 2023, ABB Robotics, a Switzerland-based automation company, launched its Robotic Item Picker solution, an AI-enabled robotic picking system designed for warehousing and logistics operations. The solution uses advanced computer vision and machine learning to accurately identify and pick a wide range of items at high speed. It features adaptive gripping technology that enables reliable handling of mixed, irregular, and fragile objects. Additionally, the system integrates seamlessly with existing warehouse management and automation systems, supporting flexible and scalable deployment.

In October 2025, SoftBank Group, a Japan-based investment firm, acquired the robotics division of ABB Ltd. for approximately $5.4 billion. Through this acquisition, SoftBank sought to expand its presence in AI-powered robotics by incorporating ABB’s industrial and autonomous robotics technologies into its Physical AI strategy to strengthen automation across logistics, e-commerce, and warehouse operations. ABB’s robotics division is a Switzerland-based provider of industrial robots, autonomous systems, sensors, and control technologies serving manufacturing and logistics sectors.

Major companies operating in the artificial intelligence (ai)-powered robot picker market are Fanuc Crop., 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., EVS Tech Co. Ltd.

Tariffs have created both challenges and opportunities for the AI-powered robot picker market by increasing costs for imported robotic arms, sensors, and AI-enabled vision components. Higher equipment and integration costs have affected capital investment decisions for warehouses and logistics operators. Regions dependent on imported robotics hardware, particularly Asia-Pacific and Europe, face moderate pricing pressure. To mitigate these impacts, vendors are localizing assembly and diversifying component sourcing strategies. Modular system designs are gaining traction to control costs. Robotics-as-a-service models are expanding adoption. These shifts are improving deployment flexibility and long-term scalability.

Artificial intelligence-powered robot pickers refers to automated robotic systems that use artificial intelligence, machine vision, and advanced algorithms to identify, select, and handle items accurately within warehouses or industrial environments. Their main purpose is to increase picking speed and accuracy, reduce labor dependency, lower operational costs, and improve overall efficiency in material handling and order fulfillment operations.

The primary components of artificial intelligence-powered robot pickers include hardware, software, and services. Hardware refers to the physical robotic systems and mechanical components that enable automated picking operations with high accuracy, speed, and reliability in industrial environments. The various applications involved include fixed robotic arm picking workstations, automated guided vehicle plus robotic arm integrated picking robots, and collaborative robotic arms, supported by perception and algorithm technologies such as two-dimensional vision plus barcode recognition, three-dimensional vision recognition plus posture estimation, and vision plus force control fusion type, and are distributed through sales channels such as direct sales, system integrators, value-added resellers, and original equipment manufacturers, and are adopted by end users including manufacturing, automotive, and electronics companies, as well as logistics and warehousing, healthcare, and retail industries.

The artificial intelligence-powered robot picker market consists of revenues earned by entities by providing services such as robotic system integration, warehouse automation consulting, deployment and commissioning services, software configuration and optimization, and maintenance and technical support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence-powered robot picker market also includes sales of robotic picking systems, machine vision modules, artificial intelligence control software, robotic arms and grippers, and automated material handling units. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence (AI)-powered robot picker market research report is one of a series of new reports that provides artificial intelligence (AI)-powered robot picker market statistics, including artificial intelligence (AI)-powered robot picker industry global market size, regional shares, competitors with a artificial intelligence (AI)-powered robot picker market share, detailed artificial intelligence (AI)-powered robot picker market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered robot picker industry. This artificial intelligence (AI)-powered robot picker market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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