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Meticulous Research®—a leading global market research company, published a research report titled, ‘Pick and Place Robots Market by Offering (Robots, Robot Accessories, Software), Payload (Upto 15 KG, 15 KG to 30 KG, More than 30 KG), Sector (E-commerce & Logistics, Food & Beverage, Other Sectors) and Geography - Global Forecast to 2030.’
The global pick and place robots market is projected to reach $ 10.9 billion by 2030, at a CAGR of 23.9% from 2024 to 2030. The growth of this market is attributed to the rising adoption of Industry 4.0 and the Internet of Things (IoT) technologies, increasing adoption of automation in various industries such as food and beverage, automotive, and electronics, and growth of pick and place robots in the e-commerce industry. However, the high initial investment and rising safety concerns due to the growing integration of automation technologies restrain market growth. At the same time, the high labor costs in North America and Europe and the growing demand for automation in various sectors such as manufacturing, packaging, and logistics are expected to create significant opportunities for this market. However, limited flexibility to handle different sizes, shapes, or weights poses challenges to market growth.
The global pick and place robots market is segmented by offering, payload, sector, and geography. The study also evaluates industry competitors and analyses the regional and country-level markets.
Key Players:
The key players profiled in the global pick and place robots market study include ABB Ltd (Switzerland), Fanuc Corporation (Japan), Yaskawa Electric Corporation (Japan), KUKA AG (Germany), Kawasaki Heavy Industries, Ltd. (Japan), Universal Robots A/S (Denmark), Techman Robot Inc. (Taiwan), Omron Corporation (Japan), Seiko Epson Corporation (Japan), Schneider Electric SE (France), Codian Robotics B.V. (Netherlands), JLS Automation (U.S.), Toshiba Infrastructure Systems & Solutions Corporation (Japan), Bastian Solutions, LLC (U.S.), and Mitsubishi Electric Corporation (Japan).
Based on offering, the global pick and place robots market is segmented into robot, robot accessories, and software. In 2024, the retro-reflective sensors segment is expected to account for the largest share of the global pick and place robots market. The large market share of this segment is mainly attributed to the increasing demand for robots to perform precise pick and place operations, as they can be programmed to function in repetitive and hazardous tasks with consistent output, accuracy, and quality. The technology used in robots allows them to operate round the clock, even in harsh environments, increasing productivity and profitability and reducing the human labor required for performing activities that might cause physical injury, thereby increasing workplace safety and reducing labor costs. However, the robot accessories segment is expected to grow at the highest CAGR during the forecast period.
Based on payload, the global pick and place robots market is segmented into up to 15 kg, 15 kg to 30 kg, and more than 30 kg. In 2024, the upto 15 kg segment is expected to account for the largest share of the global pick and place robots market. The large share of this segment is attributed to the increasing need for pick and place applications in the food and beverage, cosmetics, and the semiconductor and electronics industry, where SCARA, Delta, and collaborative robots are extensively used. Generally, these robots can operate at a higher speed and with optional cleanroom specifications. By design, these robots suit applications with a smaller field of operation with limited floor space. In addition, the compact layout makes them relocatable in temporary or remote applications. SCARA and Delta robots are particularly used in clean and hygienic environments, such as the food and beverage industry. Moreover, the up to 15 kg segment is expected to grow at the highest CAGR during the forecast period.
Based on sector, the global pick and place robots market is segmented into pharmaceutical and chemistry, plastic and polymer, metal and mining, e-commerce & logistics, electronics & semiconductor, food & beverage, municipal, cosmetics & personal care, automotive, supply chain and warehousing and other sectors. In 2024, the food and beverage segment is expected to account for the largest share of the pick and place robots market. The stringent government regulations related to food safety & consumption drive the growth of pick and place robots in the F&B industry. Increasing concerns regarding food safety & hygiene and the imposition of regulations have fueled the usage of robots in the food & beverage industry. Government agencies and food & beverage associations have implemented food safety standards globally to ensure healthy food & beverages and reduce illnesses. Also, adopting robotic solutions ensures improved shelf life, food safety, consistent quality, and optimum use of robots and software to help manufacturers grow. However, the pharmaceutical and chemistry segment is expected to grow at the highest CAGR during the forecast period.
Based on geography, the pick and place robots market is segmented into Asia-Pacific, North America, Europe, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of the pick and place robots market. The large market share in this region is attributed to the growing demand for automation solutions and the need to improve productivity, quality, & safety of products across the food and beverage, pharmaceutical, and healthcare sectors. Pick and place robotics also reduces spoilage and improves the shelf-life of F&B and pharmaceutical products. Also, robot minimizes human contact with cutting tools, improving the safety of the production line. Thus, adopting robots increases efficiency and boosts product productivity and quality. These factors have propelled the adoption of pick and place robots in the North American industrial sectors. However, Asia-Pacific is expected to grow at the highest CAGR during the forecast period.
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Key Questions Answered in the Report:
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