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市场调查报告书
商品编码
1422832
2024-2032 年按机器人类型(协作式、移动式)、最终用户(製药、零售/仓储/配送中心/物流中心等)和地区分列的单件拣选机器人市场报告Piece Picking Robots Market Report by Robot Type (Collaborative, Mobile), End User (Pharmaceutical, Retail/Warehousing/Distribution Centers/Logistics Centers, and Others), and Region 2024-2032 |
2023年,全球单件拣选机器人市场规模达到6.52亿美元。展望未来, IMARC Group预计到2032年市场规模将达到319.327亿美元,2024-2032年复合年增长率(CAGR)为52.47%。工业自动化趋势的兴起、提高物流和供应链效率的需求不断增加以及劳动力成本的大幅上升是推动市场的一些关键因素。
零件拣选机器人是自动化系统,旨在从储存系统或仓库中处理和拣选单一产品零件。这些机器人使用先进的感测器、夹具和电脑视觉来高精度地识别和抓取产品。工件拾取机器人的特点包括高机动性、多轴灵活性以及操纵不同形状和尺寸的物体的能力。它们通常用于电子商务和零售公司的仓库和配送中心,以减少从事重复性和关键任务的体力劳动,以满足现代供应链的高要求。在仓库中使用单件拣选机器人可以提高速度和生产率,降低劳动成本,并透过消除工人处理重型或危险物品的需要来提高工人的安全性。这些软体驱动、硬体支援的机器人旨在与其他自动化系统集成,并且可以轻鬆编程以处理新产品或更改拾取模式。
全球市场主要受到工业自动化新兴趋势以及工业 4.0 的出现的推动。这可以归因于对最小化行进距离、最大化空间利用、最小化拣选错误以及最小化零售工人伤害的需求日益增长。与此一致的是,由于电子商务产业的显着成长,对提高物流和供应链效率的需求不断增加,正在为市场创造利润丰厚的成长机会。此外,对电子商务基础设施、小型商店和全通路履行等产品上游处理开发的投资不断增加,也为市场提供了动力。此外,机械手臂生产和新软体工具的技术不断进步,可以处理更广泛的物品并在更复杂的环境中运行,这为市场创造了积极的前景。除此之外,机器学习 (ML)、人工智慧 (AI) 和云端资料管理系统的日益集成,以缩短开发週期并提供即时可见性,正在对市场产生积极影响。全球劳动成本的大幅上涨进一步推动了市场的发展。促进市场发展的其他一些因素包括快速工业化、可支配收入水准的提高、订单和发货量的增加以及机器人技术的众多创新。
The global piece picking robots market size reached US$ 652.0 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 31,932.7 Million by 2032, exhibiting a growth rate (CAGR) of 52.47% during 2024-2032. The emerging trend of industrial automation, escalating demand to enhance the efficiency of the logistics and supply chain, and considerable rise in the labor costs represent some of the key factors driving the market.
Piece picking robots are automated systems that are designed to handle and pick individual product pieces from a storage system or warehouse. These robots use advanced sensors, grippers, and computer vision to identify and grasp products with high precision and accuracy. Characteristics of piece picking robots include high mobility, multi-axis dexterity, and the ability to manipulate objects of varying shapes and sizes. They are commonly used in warehouses and distribution centers for e-commerce and retail companies to reduce manual labor to be devoted to repetitive and critical tasks in order to meet the high demands of modern supply chains. Using piece picking robots in warehouse provides enhanced speed and productivity, reduced labor costs, and higher worker safety by eliminating the need for workers to handle heavy or dangerous items. These software-driven, hardware-enabled robots are designed to integrate with other automated systems and can be easily programmed to handle new products or change pick patterns.
The global market is primarily driven by the emerging trend of industrial automation, along with the advent of industry 4.0. This can be attributed to the growing need to minimize travel distance, maximize the use of space, minimize pick errors, and minimize injuries among retail workers. In line with this, the escalating demand to enhance the efficiency of the logistics and supply chain due to significant growth in the e-commerce industry is creating lucrative growth opportunities in the market. Also, the rising investments in the development of upstream handling of products in e-commerce infrastructure, smaller format stores, and omnichannel fulfillment are providing an impetus to the market. Moreover, continual technological advancements in the production of robotic arms and new software tools to handle a wider range of items and operate in more complex environments are creating a positive outlook for the market. Besides this, the growing integration of machine learning (ML), artificial intelligence (AI), and cloud data management systems to shorten development cycles and offer real-time visibility is impacting the market positively. The market is further fueled by the considerable rise in the labor costs on the global level. Some of the other factors contributing to the market include rapid industrialization, inflating disposable income levels, increasing volumes of orders and shipments, and numerous innovations in robotics.
IMARC Group provides an analysis of the key trends in each segment of the global piece picking robots market, along with forecasts at the global, regional, and country level from 2024-2032. Our report has categorized the market based on robot type and end user.
Robot Type Insights
Collaborative
Mobile
The report has provided a detailed breakup and analysis of the piece picking robots market based on the robot type. This includes collaborative and mobile. According to the report, collaborative represented the largest segment.
End User Insights
Pharmaceutical
Retail/Warehousing/Distribution Centers/Logistics Centers
Others
A detailed breakup and analysis of the piece picking robots market based on the department has also been provided in the report. This includes pharmaceutical, retail/warehousing/distribution centers/logistics centers, and others.
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
The report has also provided a comprehensive analysis of all the major regional markets that include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and Middle East and Africa. According to the report, North America was the largest market for piece picking robots. Some of the factors driving the North America piece picking robots market include rapid industrialization, inflating disposable income levels, significant growth in the e-commerce industry, etc.
Competitive Landscape
The report has also provided a comprehensive analysis of the competitive landscape in the global piece picking robots market. Detailed profiles of all major companies have also been provided. Some of the companies covered 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., etc.