피스 피킹 로봇 시장 보고서 : 로봇 유형, 최종사용자, 지역별(2026-2034년)

The global piece picking robots market size reached USD 1,630.6 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 74,684.1 Million by 2034, exhibiting a growth rate (CAGR) of 51.36% during 2026-2034. The market is rapidly growing, driven by increasing emphasis on efficiency and productivity, growing demand for labor shortage solutions, significant growth in the e-commerce industry, rapid technological advancements, and escalating focus on scalability and flexibility.

Piece Picking Robots Market Analysis:

• Market Growth and Size: The market is witnessing stable growth, driven by the increasing demand for automation in various industries. Additionally, the rising e-commerce sector, labor shortages, and the need for efficient warehouse operations, is positively impacting the market growth.
• Major Market Drivers: Key drivers influencing the market growth include the rising labor costs, the need for faster order processing in e-commerce, the growing emphasis on warehouse optimization, technological advancements in robotics and artificial intelligence (AI), and the need for increased efficiency and productivity in logistics and supply chain management.
• Technological Advancements: Recent innovations in AI, machine learning (ML), and sensor technology, which have greatly enhanced the capabilities of piece picking robots, making them more adaptable, accurate, and cost-effective. Additionally, the ongoing advancements, enabling robots to handle a wider range of products and operate in more complex environments, is driving the market growth.
• Industry Applications: The market is experiencing high product demand in industries such as retail, warehousing, distribution centers, logistics, pharmaceuticals, and e-commerce, owing to their ability to efficiently sort and handle items.
• Key Market Trends: The key market trends involve the ongoing shift towards collaborative robots (cobots) that work alongside humans, and mobile robots that enhance flexibility in warehouses. Additionally, the increasing focus on integrating robots with existing warehouse management systems for streamlined operations is bolstering the market growth.
• Geographical Trends: North America leads the market due to its advanced technological infrastructure and strong e-commerce sector. Other regions are also showing significant growth, fueled by expanding manufacturing and retail sectors.
• Competitive Landscape: The market is characterized by a mix of established players and emerging companies that are focusing on research and development (R&D), global expansion, strategic partnerships, and product innovation. Furthermore, leading companies are continually advancing their technologies to stay competitive.
• Challenges and Opportunities: The market faces various challenges, such as high initial investment costs and the need for skilled personnel to operate and maintain these systems. However, the development of cost-effective solutions and training programs for workforce development are creating new opportunities for the market growth.

Piece Picking Robots Market Trends:

Increasing emphasis on efficiency and productivity

The widespread adoption of piece picking robots to enhance efficiency and productivity, especially in logistics, warehousing, and distribution sectors, is bolstering the market growth. These robots streamline the picking process, which is a traditionally labor-intensive and time-consuming task. Furthermore, they automate the retrieval and placement of individual items and can operate continuously without breaks, fatigue, or errors that are common in human labor. Additionally, the continuous operation of piece picking robots drastically cuts down the processing time for orders, enabling companies to handle a higher volume of orders with increased accuracy. Moreover, they can be programmed to optimize picking routes and strategies, further reducing the time taken for each pick. This optimization is particularly crucial during peak demand periods, such as holidays or sales events, where quick turnaround times are essential.

Growing demand for labor shortage solutions

Piece picking robots present an effective solution to labor shortages, a challenge increasingly faced by industries across the globe. They perform repetitive, mundane tasks that are often unappealing to human workers, thereby filling critical gaps in the workforce. It is particularly relevant in the context of demographic shifts and changing workforce preferences, where there is a growing reluctance to engage in physically demanding and low-value tasks. Furthermore, automation through piece picking robots ensures that businesses can maintain operational efficiency despite these labor market challenges. Moreover, they can work in environments that might be hazardous or uncomfortable for humans, such as those with extreme temperatures or high-risk factors.

Significant growth in the e-commerce industry

The burgeoning growth of e-commerce, which requires rapid processing of a large number of small, individual orders, is propelling the market growth. Piece picking robots enhance the ability of e-commerce businesses to handle vast volumes of orders efficiently and accurately. They also facilitate quick delivery times and order accuracy through their speed and precision, which aids in increasing sales and enhancing customer satisfaction. Furthermore, piece picking robots enable businesses to process orders at a pace and accuracy that would be impossible with a human workforce alone, especially during high-demand periods like sales events or holidays. Additionally, the shifting consumer preferences towards more personalized and diverse product offerings is facilitating the demand for these robots, as they can handle a wide range of items with different shapes, sizes, and weights.

Rapid technological advancements

Technological advancements in robotics, artificial intelligence (AI), and machine learning (ML), leading to the development and increased capabilities of piece picking robots, are contributing to the market growth. Modern robots are equipped with sophisticated sensors, vision systems, and AI algorithms that enable them to identify, handle, and sort a wide variety of items with high accuracy. Furthermore, these advancements have transformed robots from rigid, pre-programmed machines to adaptive systems capable of learning and optimizing their actions. In line with this, the integration of machine learning (ML) algorithms, which allow piece picking robots to improve their picking strategies over time, adapting to changes in inventory, layout, or order patterns, is boosting the market growth. Apart from this, recent improvements in robotics technology, which have reduced the cost of these systems, making them accessible to a broader range of businesses, including small and medium-sized enterprises, are favoring the market growth.

Escalating focus on scalability and flexibility

Piece picking robots offer businesses the ability to scale operations up or down with ease, aligning closely with changing demand patterns. It is particularly important in industries where demand can fluctuate significantly due to seasonal trends, sales events, or changing consumer preferences. Piece picking robots allow businesses to quickly adjust their picking capacity to meet these fluctuations without the need for extensive workforce restructuring. Furthermore, they can be reprogrammed or repurposed for different tasks, ensuring that the investment in robotic systems remains relevant and valuable over time. This adaptability is a significant advantage over traditional automation systems, which are often rigid and difficult to modify. Additionally, the modular nature of piece picking robotic systems, allowing businesses to expand their operations as needed, is supporting the market growth.

Piece Picking Robots Industry Segmentation:

Breakup by Robot Type:

• Collaborative
• Mobile

Collaborative accounts for the majority of the market share

Collaborative robots, also known as cobots, represent the largest market segment, owing to their ability to safely interact with humans in a shared workspace due to advanced sensors, safety features, and responsive programming. They are typically smaller and more flexible than traditional industrial robots, making them suitable for a wide range of applications, from small-scale operations to large warehouses. Furthermore, cobots excel in tasks that require a high degree of precision and delicacy, such as handling fragile or irregularly shaped items. Moreover, they are valued for their ease of programming and reprogramming, allowing for rapid adaptation to different tasks and products.

Mobile robots are equipped with navigation capabilities, allowing them to move autonomously within a warehouse or distribution center. They often utilize advanced technologies like light detection and ranging (LiDAR), cameras, and complex algorithms to navigate and avoid obstacles, ensuring efficient and safe operation around human workers. Mobile robots are particularly adept at transporting goods from one location to another, a task essential in large warehouses and distribution centers.

Breakup by End User:

• Pharmaceutical
• Retail/Warehousing/Distribution Centers/Logistics Centers
• Others

The pharmaceutical sector utilizes piece picking robots for tasks like handling delicate medication packages, sorting different types of drugs, and assembling orders. These robots offer the advantage of precise and gentle handling, which is crucial for fragile pharmaceutical products. Additionally, they provide a high level of consistency and traceability, which is essential for meeting regulatory requirements.

Retail/warehousing/distribution centers/logistics centers employ piece picking robots for optimizing inventory management, order fulfillment, and overall supply chain efficiency. They are used for picking and sorting a wide variety of items, from small consumer goods to larger packages, ensuring rapid and accurate order processing. It is particularly crucial in the context of the e-commerce boom, where consumers expect quick delivery times and precise order fulfillment.

Breakup by Region:

• North America
  • United States
  • Canada
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

North America leads the market, accounting for the largest piece picking robots market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America holds the largest market share, driven by advanced technological infrastructure, the presence of leading robotics companies, and high investment in automation technologies. Additionally, the strong focus on innovation, coupled with a robust e-commerce sector in the region, is catalyzing the market growth. Furthermore, the widespread integration of robotic solutions across industries, such as retail, logistics, and pharmaceuticals in North America, to enhance efficiency and competitiveness is catalyzing the market growth. Besides this, the presence of a highly skilled workforce for robot maintenance and operation, along with supportive government policies encouraging automation, is driving the market growth.

The piece picking robots market in Europe is characterized by its strong manufacturing base and high adoption of advanced industrial technologies. Additionally, the strong emphasis on innovation and efficiency in the region, driving the integration of robotic systems in various industries, is supporting the market growth. Moreover, the implementation of stringent regulations regarding workplace safety and product quality is favoring the market growth.

The Asia Pacific region is experiencing rapid growth in the piece picking robots market, primarily driven by the expanding manufacturing and e-commerce sectors. Additionally, the increasing focus on technological advancements, combined with a growing workforce skilled in robotics, is supporting the market growth. Moreover, the presence of large-scale manufacturing capabilities, especially in the electronics and automotive industries, which necessitate efficient and precise handling processes, is favoring the market growth.

Latin America's piece picking robots market is emerging, with growth driven by the increasing adoption of automation technologies in the manufacturing and logistics sectors. Furthermore, the escalating awareness regarding the benefits of robotic automation in improving efficiency and reducing operational costs is positively influencing the market growth. Moreover, the rising focus on modernizing industrial infrastructure and the growing presence of international companies investing in automation technologies is fueling the market growth.

The Middle East and Africa (MEA) region is a developing market for piece picking robots, with growth driven by initiatives to diversify economies and invest in technological advancements. Additionally, the increasing focus on building smart cities and the widespread adoption of advanced industrial technologies are favoring the market growth. Moreover, the ongoing economic diversification and technological investments in the region are catalyzing the market growth.

Leading Key Players in the Piece Picking Robots Industry:

Major companies are focusing on research and development (R&D) to innovate and improve robot functionalities. It includes enhancing the robots' accuracy, speed, and ability to handle a wider variety of items. Additionally, leading companies are forming partnerships with other technology firms, logistics companies, and end-user industries to co-develop new solutions, integrate complementary technologies, and extend market reach. Furthermore, they are setting up new offices, distribution networks, or manufacturing facilities, as well as tailoring products to meet specific regional needs and compliance standards. Besides this, several key players are launching new models of piece picking robots or expanding the range of applications that their robots can handle.

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

• Berkshire Grey Inc.
• Dematic (Kion Group AG)
• Fritz Schafer GmbH
• Hand Plus Robotics Pte. Ltd.
• Kindred Systems Inc. (Ocado Group)
• Knapp AG
• Nimble Robotics Inc.
• Osaro Inc.
• Righthand Robotics Inc.
• Swisslog Holding AG (kuka AG)
• Universal Robots A/S (Teradyne Inc.)
• XYZ Robotics Inc

Key Questions Answered in This Report:

• How has the global piece picking robots market performed so far, and how will it perform in the coming years?
• What are the drivers, restraints, and opportunities in the global piece picking robots market?
• What is the impact of each driver, restraint, and opportunity on the global piece picking robots market?
• What are the key regional markets?
• Which countries represent the most attractive piece picking robots market?
• What is the breakup of the market based on the robot type?
• Which is the most attractive robot type in the piece picking robots market?
• What is the breakup of the market based on the end user?
• Which is the most attractive end user in the piece picking robots market?
• What is the competitive structure of the market?
• Who are the key players/companies in the global piece picking robots market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Piece Picking Robots Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Robot Type

• 6.1 Collaborative
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Mobile
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by End User

• 7.1 Pharmaceutical
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Retail/Warehousing/Distribution Centers/Logistics Centers
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast
• 7.3 Others
  • 7.3.1 Market Trends
  • 7.3.2 Market Forecast

8 Market Breakup by Region

• 8.1 North America
  • 8.1.1 United States
    • 8.1.1.1 Market Trends
    • 8.1.1.2 Market Forecast
  • 8.1.2 Canada
    • 8.1.2.1 Market Trends
    • 8.1.2.2 Market Forecast
• 8.2 Asia-Pacific
  • 8.2.1 China
    • 8.2.1.1 Market Trends
    • 8.2.1.2 Market Forecast
  • 8.2.2 Japan
    • 8.2.2.1 Market Trends
    • 8.2.2.2 Market Forecast
  • 8.2.3 India
    • 8.2.3.1 Market Trends
    • 8.2.3.2 Market Forecast
  • 8.2.4 South Korea
    • 8.2.4.1 Market Trends
    • 8.2.4.2 Market Forecast
  • 8.2.5 Australia
    • 8.2.5.1 Market Trends
    • 8.2.5.2 Market Forecast
  • 8.2.6 Indonesia
    • 8.2.6.1 Market Trends
    • 8.2.6.2 Market Forecast
  • 8.2.7 Others
    • 8.2.7.1 Market Trends
    • 8.2.7.2 Market Forecast
• 8.3 Europe
  • 8.3.1 Germany
    • 8.3.1.1 Market Trends
    • 8.3.1.2 Market Forecast
  • 8.3.2 France
    • 8.3.2.1 Market Trends
    • 8.3.2.2 Market Forecast
  • 8.3.3 United Kingdom
    • 8.3.3.1 Market Trends
    • 8.3.3.2 Market Forecast
  • 8.3.4 Italy
    • 8.3.4.1 Market Trends
    • 8.3.4.2 Market Forecast
  • 8.3.5 Spain
    • 8.3.5.1 Market Trends
    • 8.3.5.2 Market Forecast
  • 8.3.6 Russia
    • 8.3.6.1 Market Trends
    • 8.3.6.2 Market Forecast
  • 8.3.7 Others
    • 8.3.7.1 Market Trends
    • 8.3.7.2 Market Forecast
• 8.4 Latin America
  • 8.4.1 Brazil
    • 8.4.1.1 Market Trends
    • 8.4.1.2 Market Forecast
  • 8.4.2 Mexico
    • 8.4.2.1 Market Trends
    • 8.4.2.2 Market Forecast
  • 8.4.3 Others
    • 8.4.3.1 Market Trends
    • 8.4.3.2 Market Forecast
• 8.5 Middle East and Africa
  • 8.5.1 Market Trends
  • 8.5.2 Market Breakup by Country
  • 8.5.3 Market Forecast

9 SWOT Analysis

• 9.1 Overview
• 9.2 Strengths
• 9.3 Weaknesses
• 9.4 Opportunities
• 9.5 Threats

10 Value Chain Analysis

11 Porters Five Forces Analysis

• 11.1 Overview
• 11.2 Bargaining Power of Buyers
• 11.3 Bargaining Power of Suppliers
• 11.4 Degree of Competition
• 11.5 Threat of New Entrants
• 11.6 Threat of Substitutes

12 Price Analysis

13 Competitive Landscape

• 13.1 Market Structure
• 13.2 Key Players
• 13.3 Profiles of Key Players
  • 13.3.1 Berkshire Grey Inc.
    • 13.3.1.1 Company Overview
    • 13.3.1.2 Product Portfolio
  • 13.3.2 Dematic (Kion Group AG)
    • 13.3.2.1 Company Overview
    • 13.3.2.2 Product Portfolio
  • 13.3.3 Fritz Schafer GmbH
    • 13.3.3.1 Company Overview
    • 13.3.3.2 Product Portfolio
  • 13.3.4 Hand Plus Robotics Pte. Ltd.
    • 13.3.4.1 Company Overview
    • 13.3.4.2 Product Portfolio
  • 13.3.5 Kindred Systems Inc. (Ocado Group)
    • 13.3.5.1 Company Overview
    • 13.3.5.2 Product Portfolio
  • 13.3.6 Knapp AG
    • 13.3.6.1 Company Overview
    • 13.3.6.2 Product Portfolio
  • 13.3.7 Nimble Robotics Inc.
    • 13.3.7.1 Company Overview
    • 13.3.7.2 Product Portfolio
  • 13.3.8 Osaro Inc.
    • 13.3.8.1 Company Overview
    • 13.3.8.2 Product Portfolio
  • 13.3.9 Righthand Robotics Inc.
    • 13.3.9.1 Company Overview
    • 13.3.9.2 Product Portfolio
  • 13.3.10 Swisslog Holding AG (kuka AG)
    • 13.3.10.1 Company Overview
    • 13.3.10.2 Product Portfolio
  • 13.3.11 Universal Robots A/S (Teradyne Inc.)
    • 13.3.11.1 Company Overview
    • 13.3.11.2 Product Portfolio
  • 13.3.12 XYZ Robotics Inc.
    • 13.3.12.1 Company Overview
    • 13.3.12.2 Product Portfolio