Automotive Paint Robots Market Future Assessment by End-Users Industry and Trends through 2028

Image: 
Kategorie der Pressemeldung: 
Mitteilung: 

The global automotive paint robots market study presents an all in all compilation of the historical, current and future outlook of the market as well as the factors responsible for such a growth. With SWOT analysis, the business study highlights the strengths, weaknesses, opportunities and threats of each automotive paint robots market player in a comprehensive way. Further, the automotive paint robots market report emphasizes the adoption pattern of the automotive paint robots across various industries.

The automotive paint robots market report highlights the following players:

  • KUKA Roboter GmbH
  • Yaskawa Electric Corporation
  • FANUC CORPORATION
  • Others

The automotive paint robots market report examines the operating pattern of each player – new product launches, partnerships, and acquisitions – has been examined in detail.

The global market for automotive paint robots is expected to witness growth with a moderate CAGR of ~5 per cent. The growth can be attributed to the rising demand for automation from the automotive industry, and the resultant increase in research and development in the field, which accounts for greater amounts of investment.

Manufacturers Focus on New Product Launches

The global market for automotive paint robots is largely consolidated with major names such as Yskawa Electric Corporation, Durr AG, KUKA Roboter GmbH, ABB Ltd., and Fanuc Corporation account for approximately 80 per cent of the overall market share.

Major manufacturers are focusing their businesses towards new product development, mergers and acquisitions, and collaborations.  The rate of vehicle production across regions such as India, Japan, and the Middle East and Africa are expected to remain high, leading the adoption rate, surpassing Latin America and Europe, with a rise of CAGRs of approximately 4 per cent for these regions. New products involve setups which can operate without linear displacement rails, reduced interference work envelops, greater reach and efficiency, with minimal service costs, which results in a shorter period to gain returns on investment.

You can Request an Example Copy from here - https://www.factmr.com/connectus/sample?flag=S&rep_id=2232

Demand for Quality Standards Support Development

Aesthetic related challenges are common to the painting process in the automotive industry. Across the globe, the changes in terms of the quality of finish are very notable. This can be attributed to the various locations associated with a coating process, including substrates made from steel or aluminum alloys.

Market players producing automotive paint robots can result in increased sophistication in automated functions, which result in a greater focus on uniformity for interior and exterior finishes. These changes can be attributed to developments in measurement and uniformity. The industry is witnessing increased efforts by universities and research institutions, which have been focusing their efforts towards the development of robotic painting systems that coat fast and efficient automation, for the future penetration, contributing to the size of the market.

Ask Industry Professional about Report – https://www.factmr.com/connectus/sample?flag=AE&rep_id=2232

Drone Tech and Real Time Diagnostics Gain Importance

While ground based operations continue to be the most widely used option in automotive paint robots, by using telescopic arms, drone technology has recently started to gain traction with the inclusion of sprayer systems, which not only allows increased scope of mobility, but also aids with the future growth of trajectory with operations at different altitudes. In addition, manufacturers are also focusing research efforts for systems, which analyze paint quality in real time, instead of as a post completion phase. This trend is expected to grow substantially with the rapid innovation in industrial internet of things operations. This will also help in a substantial reduction in terms of space and costs.