Logistics Picking Robots Market Size, Share, Growth, and Industry Analysis, By Type (Full-Automatic and Semi-Automatic), By Application (Logistic Picking, Logistic Handling and Others), Regional Insights and Forecast From 2025 To 2034

Last Updated: 29 July 2025
SKU ID: 30051508

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LOGISTICS PICKING ROBOTS MARKET OVERVIEW

The global logistics picking robots market size is forecasted to reach USD 45.96 billion by 2034 from USD 11.06 billion in 2025, growing at a steady CAGR of 17.16% during the forecast period from 2025 to 2034.

The United States Logistics Picking Robots market size is projected at USD 4.40 billion in 2025, the Europe Logistics Picking Robots market size is projected at USD 3.42 billion in 2025, and the China Logistics Picking Robots market size is projected at USD 1.00 billion in 2025.

Logistics picking robots are autonomous or semi-autonomous robotic systems designed to streamline the process of picking and packing items in logistics and warehousing operations. These robots are a crucial part of the supply chain automation ecosystem, helping businesses improve efficiency, accuracy, and speed in their order fulfillment processes. Logistics picking robots are primarily used for picking items from shelves, bins, or pallets and then packing them into containers or boxes. This process is essential for preparing orders for shipment in e-commerce, retail, and distribution center settings.

Picking robots often rely on computer vision systems to identify and locate items on shelves or in bins. Sensors such as LIDAR, cameras, and depth sensors help the robot navigate its environment and avoid collisions. Logistics picking robots can work 24/7 without breaks, leading to faster order fulfillment and reduced labor costs. They can minimize picking errors and ensure that the right items are packed in each order. In some cases, robots work alongside human workers, making the picking process more efficient and less physically demanding.

KEY FINDINGS

  • Market Size and Growth: Valued at USD 11.06 billion in 2025, projected to touch USD 45.96 billion by 2034 at a CAGR of 17.16%.
  • Key Market Driver: Rising labor shortages contributed to a 6.9% increase in robotic picking system installations across large-scale warehouses.
  • Major Market Restraint: High initial installation cost limited adoption among SMEs, resulting in a 3.1% adoption gap compared to large enterprises.
  • Emerging Trends: AI-integrated picking robots rose by 5.7% in market share due to real-time decision-making and improved operational efficiency.
  • Regional Leadership: Asia Pacific led with 39.6% share in 2024, supported by smart logistics investments in China, Japan, and South Korea.
  • Competitive Landscape: Top five companies accounted for 51.2% of the market, emphasizing real-time vision systems and software upgrades.
  • Market Segmentation: Full-automatic segment captured 64.8% share in 2024, favored for continuous picking performance and minimal human supervision.
  • Recent Development: A major player launched a multi-arm robot in 2024, enhancing picking speed by 26.4% in high-volume fulfillment centers.

COVID-19 IMPACT

Increased Demand for Automation to Boost Demand Significantly

The COVID-19 pandemic has been unprecedented and staggering, with logistics picking robots experiencing higher-than-anticipated demand across all regions compared to pre-pandemic levels. The sudden rise in CAGR is attributable to the market’s growth and demand returning to pre-pandemic levels.

COVID-19 had a life changing impact globally. The logistics picking robots market was significantly affected. The virus had various impacts on different markets. Lockdowns were imposed in several nations. This erratic pandemic caused disruptions on all sorts of businesses. Restrictions tightened during the pandemic due to increasing number of cases. Numerous Industries were affected. However, the market for logistics picking robots experienced an increased demand.

The pandemic exposed vulnerabilities in global supply chains. Companies looked to automation to mitigate disruptions, reduce lead times, and create more flexible and adaptable supply chain networks. Picking robots were reconfigured or adapted to meet the demands of new safety protocols and social distancing measures. This included changes in robot deployment, scheduling, and interaction with human workers.

The pandemic underscored the importance of supply chain resilience and the need to reduce reliance on human labor, especially in situations where social distancing and safety measures were required. As a result, there was a heightened interest in automation, including logistics picking robots, to maintain business continuity. There were labor shortages in various industries, including logistics and warehousing. This made it challenging for companies to find and retain human workers for tasks that could be automated, further driving the adoption of picking robots. The market is anticipated to boost the market following the pandemic.

LATEST TRENDS

Integration of New Technologies to Broaden Market Growth

Integration with WMS and other warehouse software solutions was becoming increasingly important. Seamless connectivity between logistics picking robots and WMS allowed for real-time data exchange, enhancing overall warehouse efficiency and order accuracy. Continued advancements in artificial intelligence and machine learning were enhancing the capabilities of logistics picking robots. These technologies enabled robots to adapt to changing environments, optimize pick routes, and improve item recognition, making them more versatile and efficient.

Companies were seeking robotics solutions that could be tailored to their specific needs. Manufacturers were offering more customizable and scalable options to meet the diverse requirements of different industries and warehouse configurations. The use of multiple robots working together in a coordinated manner was becoming more common. This approach helped distribute the workload and improve overall picking efficiency. These latest developments are anticipated to boost the logistics picking robots market share.

  • According to the International Federation of Robotics (IFR), over 121,000 logistics robots were deployed globally in 2023, with picking robots accounting for 32% of new installations in e-commerce warehouses.
  • As per the U.S. Department of Commerce, more than 300 fulfillment centers in North America integrated robotic picking systems in 2022–2023, driven by labor shortages and order volume spikes.
Global-Logistics-Picking-Robots-Market-Share-By-Type,-2034

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LOGISTICS PICKING ROBOTS MARKET SEGMENTATION

By Type

Based on type, the market is divided into full-automatic and semi-automatic.

By Application

Based on application, the market is bifurcated into logistic picking, logistic handling and others.

DRIVING FACTORS

E-commerce Growth to Boost Market Share

The rapid expansion of e-commerce and online shopping has been a primary driver of the market. As more consumers turn to online retail, businesses have had to automate their order fulfillment processes to keep up with the high demand for fast and accurate deliveries. Logistics picking robots can significantly improve the efficiency and productivity of warehouse and distribution center operations. They can work around the clock, maintain a high level of accuracy, and optimize picking routes, leading to faster order fulfillment and cost savings.

Labor Shortages to Fuel Market Share

Labor shortages in the logistics and warehousing sectors, exacerbated by factors such as the COVID-19 pandemic and demographic shifts, have created a pressing need for automation solutions like logistics picking robots. These robots can perform repetitive and physically demanding tasks, reducing reliance on human labor. While there is an initial investment in acquiring and implementing logistics picking robots, many businesses view them as a cost-effective solution in the long run. Robots can reduce labor costs, lower error rates, and lead to better inventory management. These factors are anticipated to drive the market.

  • According to the European Commission’s “Digitising European Industry” initiative, over €450 million was invested in automation for supply chain operations between 2021 and 2023, contributing to the deployment of AI-enabled picking robots.
  • The Indian Ministry of Commerce & Industry reported that logistics automation demand rose by 28% in 2023 across urban e-retail hubs, encouraging wider adoption of robotic picking arms and autonomous mobile systems.

RESTRAINING FACTORS

Complexity of Mixed Environments to Hamper Market Share

In warehouses with a mix of automated and manual processes, coordinating the activities of robots and human workers can be complex. Ensuring safety and efficiency in such mixed environments can pose challenges. Resistance to automation and fear of job displacement among the existing workforce can be barriers to the adoption of logistics picking robots. Companies need to address these concerns through proper change management and workforce training. The factors are anticipated to hinder the logistics picking robots market growth.

  • As per data from the U.S. National Institute of Standards and Technology (NIST), integration error rates up to 15% were recorded in multi-vendor robot setups, slowing large-scale adoption in mixed-product warehouses.
  • According to the Japan Robot Association (JARA), initial setup costs for advanced picking robots can exceed USD 300,000 per unit, limiting their use in small and mid-sized logistics enterprises.

LOGISTICS PICKING ROBOTS MARKET REGIONAL INSIGHTS

North America to Dominate the Market owing to Automation in Logistics

North America, particularly the United States, has been a major shareholder in the market. Several factors contribute to its dominance. The United States has one of the largest and most mature e-commerce markets globally, driving the demand for automation in logistics and warehousing. North America is home to many leading robotics and automation companies, fostering innovation in the logistics robotics sector.  Access to venture capital and investment funding has supported the development and adoption of logistics picking robots. High labor costs in North America have encouraged businesses to invest in automation solutions, including picking robots, to reduce operational expenses.

KEY INDUSTRY PLAYERS

Key Players Focus on Partnerships to Gain a Competitive Advantage

Prominent market players are making collaborative efforts by partnering with other companies to stay ahead in the competition. Many companies are also investing in new product launches to expand their product portfolio. Mergers and acquisitions are also among the key strategies used by players to expand their product portfolio.

  • Grenzebach: Company reports reveal that Grenzebach deployed over 1,200 robotic picking units in smart warehouses across Europe and Asia between 2022 and 2023, particularly in automated material handling applications.
  • Grey Orange: As per operational data, Grey Orange’s AI-based picking robots processed over 630 million items globally in 2023, with over 250 installations in high-volume e-commerce distribution centers.

List of Top Logistics Picking Robots Companies

  • Grenzebach
  • Grey Orange
  • Dematic
  • KUKA(Swisslog)
  • Geek+
  • Vecna
  • Hitachi
  • Bastian
  • Knapp
  • Wuxi A-carrier
  • Daifuku
  • Hi-tech Robotic Systemz
  • IAM Robotics
  • CIM Corp
  • Vanderlande

REPORT COVERAGE

This research profiles a report with extensive studies that take into description of the firms that exist in the market affecting the forecasting period. With detailed studies done, it also offers a comprehensive analysis by inspecting the factors like segmentation, opportunities, industrial developments, trends, growth, size, share, restraints and others. This analysis is subject to alteration if the key players and probable analysis of market dynamics changes.

Logistics Picking Robots Market Report Scope & Segmentation

Attributes Details

Market Size Value In

US$ 11.06 Billion in 2025

Market Size Value By

US$ 45.96 Billion by 2034

Growth Rate

CAGR of 17.16% from 2025 to 2034

Forecast Period

2025-2034

Base Year

2024

Historical Data Available

Yes

Regional Scope

Global

Segments Covered

By Type

  • Full-automatic
  • Semi-automatic

By Application

  • Logistics Picking
  • Logistics Handling
  • Others

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