Semiconductor and Electronics Robotic Welding Market is projected to grow up to 11.2% CAGR during the forecasting period...

Robotic Welding Market is projected to grow up to 11.2% CAGR during the forecasting period 2021-2027.

Robots automate the process, resulting in increased accuracy, reduced waste, and faster production. Robots can adapt to a wide number of welding techniques, including arc, resistance, spot, TIG, and more, thanks to the variety of machinery available. Because welding robots are programmable, it is a possible concept to invest some time in programming the robot to programme it with the details of the set of activities it has to execute in the manufacturing/supply chain. The time spent initially can be countered subsequently by the machine's increased speed as compared to people. Because the welding system can be designed to do repetitive jobs with incredible accuracy, all of these advantages of a Robotic Welding arm apply regardless of order size. Robots are widely utilised in the automotive industry and can perform a wide range of operations, including painting, welding, finishing, and many more. This will also help to increase market demand. The Global Robotic Welding Market study offers a comprehensive analysis of the industry. The research includes a detailed analysis of key segments, trends, drivers, constraints, the competitive landscape, and other important market variables.

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Key Driving Factors: Increasing Manufacturing Automation Adoption to Promote Growth

Modern technology has had a favourable impact on the manufacturing sector all around the world. Adoption of modern automated welding services is causing a paradigm shift in several important industrial sectors. Automation has provided various benefits, including increased efficiency and accuracy, reduced uptake time, and increased productivity. This is projected to boost demand for advanced robotic welding systems in a variety of industries.

Opportunities: Laser and plasma welding methods are becoming more popular.

To weld different parts together, a laser welding robot uses a laser beam that is created using carbon dioxide and focused with the help of optics at workpieces. Laser welding technology provides significant cost savings for producing medium- and large-batch sizes of output goods. It has high welding speeds, lowers rework, is highly reliable, ensures improved weld quality, and is extremely precise. This method enables narrow welds with little modifications to the welded objects. Laser welding technique is employed in difficult-to-reach welding places. It can also be employed in high-volume applications in the automotive and transportation, electrical and electronics, and aerospace and defence industries that demand enhanced accuracy.

This report offers the major market player’s profiles, such as FANUC Corporation (Japan), YASKAWA Electric Corporation (Japan), KUKA AG (Germany), ABB (Switzerland), Kawasaki Heavy Industries, Ltd. (Japan), Panasonic Corporation (Japan), DAIHEN Corporation (Japan), NACHI-FUJIKOSHI CORP. (Japan), Comau S.p.A. (Italy), and Hyundai Robotics (South Korea) 

Based on Application:  On the basis of application, the Global Robotic Market is divided into Automotive & Transportation, Electricals & Electronics, Aerospace & Defense, Metals & Machinery, and Others. Because of the significant growth of automobiles in developing nations, which may be linked to a rise in disposable income in the population, the automotive & transportation segment dominates the market. Developing economies such as China, India, Brazil, and Iran have a high demand for vehicles.

The Robotic Welding Market report has been categorized as below

Based on type:

  • Arc Welding

  • Spot Welding

  • Others

Based on payload

  • <50 kg Payload

  • 50-150 kg Payload

  • >150 kg Payload

Based on end user:

  • Automotive & Transportation

  • Metals and Machinery

  • Electrical and Electronics

  • Aerospace & Defense

  • Others

By Region

  • North America

  •  Europe

  • Asia Pacific

  • Rest of World

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Published Date : July-2021