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市場調查報告書
商品編碼
1422832
2024-2032 年按機器人類型(協作式、移動式)、最終用戶(製藥、零售/倉儲/配送中心/物流中心等)和地區分列的單件揀選機器人市場報告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,全球單件揀選機器人市場規模達到6.52億美元。展望未來, IMARC Group預計到2032年市場規模將達到319.327億美元,2024-2032年複合年成長率(CAGR)為52.47%。工業自動化趨勢的興起、提高物流和供應鏈效率的需求不斷增加以及勞動力成本的大幅上升是推動市場的一些關鍵因素。
零件揀選機器人是自動化系統,旨在從儲存系統或倉庫中處理和揀選單一產品零件。這些機器人使用先進的感測器、夾具和電腦視覺來高精度地識別和抓取產品。工件拾取機器人的特點包括高機動性、多軸靈活性以及操縱不同形狀和尺寸的物體的能力。它們通常用於電子商務和零售公司的倉庫和配送中心,以減少從事重複性和關鍵任務的體力勞動,以滿足現代供應鏈的高要求。在倉庫中使用單件揀選機器人可以提高速度和生產率,降低勞動成本,並透過消除工人處理重型或危險物品的需要來提高工人的安全性。這些軟體驅動、硬體支援的機器人旨在與其他自動化系統整合,並且可以輕鬆編程以處理新產品或更改拾取模式。
全球市場主要受到工業自動化新興趨勢以及工業 4.0 的出現的推動。這可以歸因於對最小化行進距離、最大化空間利用、最小化揀選錯誤以及最小化零售工人傷害的需求日益成長。與此一致的是,由於電子商務產業的顯著成長,對提高物流和供應鏈效率的需求不斷增加,正在為市場創造利潤豐厚的成長機會。此外,對電子商務基礎設施、小型商店和全通路履行等產品上游處理開發的投資不斷增加,也為市場提供了動力。此外,機械手臂生產和新軟體工具的技術不斷進步,可以處理更廣泛的物品並在更複雜的環境中運行,這為市場創造了積極的前景。除此之外,機器學習 (ML)、人工智慧 (AI) 和雲端資料管理系統的日益整合,以縮短開發週期並提供即時可見性,正在對市場產生積極影響。全球勞動成本的大幅上漲進一步推動了市場的發展。促進市場發展的其他一些因素包括快速工業化、可支配收入水準的提高、訂單和出貨量的增加以及機器人技術的眾多創新。
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.