Top 5 Automotive Paint Robots Market Players Account for Nearly 80% Revenue Share Collectively
Majority share of the automotive paint robots market continues to remain concentrated among well-established companies, particularly among top 5 players, namely, Durr AG, ABB Ltd., FANUC CORPORATION, KUKA Roboter GmbH, Yaskawa Electric Corporation.
Fact.MR study opines the lead of these Tier 1 automotive paint robots market players will continue, with their collective revenue share estimated at over 80% throughout the assessment period (2018-2028).
Operating margin of these prominent market participants is expected to oscillate between 7% and 9%. New product development, collaborations, and merger & acquisition activities prevail as pervasive expansion strategies for Tier 1 automotive paint robots manufacturers.
Acquisition of AB Rotech by ABB Group, Durr AG’s collaboration with KUKA AG for technically-advanced painting robots, and launch of P-40iA – an intelligent, lightweight robotic arm for efficient & dynamic automotive painting are prime examples of expansion strategies of Tier 1 automotive paint robots market players.
Dissecting “Orange Peel” Through Process-Oriented Approaches – A Key Focus Area for Players
Orange peel prevails as an aesthetics-related challenge in the automotive industry, wherein variations in the finish paint quality stand out when compared.
This is mainly the result of different locations associated with coating process of a diverse array of substrates that include various alloys of aluminum and steel.
Process-oriented approaches have therefore gained emphasis among automotive paint robots market players for consistent conformance to rigorous aesthetic standards.
Increasing sophistication among automotive end customers, apropos of uniform finish on both interior and exterior vehicle surfaces, has further led key automotive paint robots manufacturers to focus on developments to alleviate concerns related to orange peel.
Key automotive paint robots market stakeholders such as BYK Additives & Instruments, and Saint Clair Systems, have introduced robotic automation-based paint uniformity and thickness measurement systems.
These systems include 2K paint temperature control system, and Wave-Scan measurement technology, which have become global standards for distinctness of image measurement and objective orange peel identification.
Research Efforts to Automate Painting Trade
Automotive paint robots market has witnessed several research efforts, particularly by research institutions and universities, targeted toward automating the painting trade.
A prime example of such research projects being the development of mobile paint spraying system by the Nanyang Technological University, the arms of which can reach heights up to 10 meters.
Developments such as aforementioned have served as a boon for established commercial vehicle manufacturers. Several other relevant projects, such as that of Hubert Palfinger Technologies GmbH, which focuses on development of a robotic painting system that can coat ships with area output of nearly 1400 square meters per hour.
Relative efficiency and enhanced productivity offered by such developments point at their significant future penetration into the automotive paint robots market, thereby contributing to the market size.
Telescopic Arm or Drones – Alternate Solutions Gain Significance
Most of the predominant products as well as ongoing research projects associated with automotive paint robots basically feature ground-based operation, working with telescopic arms for coating surfaces.
However, the drone technology combined with sprayer systems has recently been becoming palpable in flexible coating of walls and other surfaces.
Permeation of drones in the automotive paint robots market has eliminated challenges associated with altitudes, meanwhile providing mobility and positioning to surfaces.
Flying automotive paint robots, which combine drones and sprayer systems, are expected to pave direction for future growth trajectory of the automotive paint robots market.
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Emphasis of Leading Manufacturers on Real-Time Diagnostics
Optimization of the paint quality in real time while its application, instead of following quality inspection post-completion of the painting process, has gradually been gaining emphasis among the automotive paint robots manufacturers.
Leading manufacturers, such as Durr and ABB, have already introduced automotive paint robots that enable real-time, precise control and smart diagnostics.
Durr, on the other hand, is currently installing a highly-automated paint shop that features an integrated IIoT technology, in combination with an innovative layout concept that enables system design with dramatic reduction in the cost and space involved.
Automated paint system such as these involve use of various paint robots, and growing introduction of real-time paint diagnostics and measuring systems is poised to have significant impacts on future prospects of the automotive paint robots market.
Robust Future Vehicle Production Growth Worldwide to Influence Demand
Vehicle production is likely to witness strong growth in Japan, India, and MEA, with the Fact.MR study forecasting approximately 5.0%, 5.9%, and 5.6% CAGR in these regions respectively.
Apart from these regions, vehicle production will continue on their steady growth trajectory in countries of Europe and Latin America, with CAGRs projected at approximately 4.0% in these regions.
Such strong prospects for vehicle production worldwide point at promising demand trends for various machinery and equipment, and automotive paint robots are no exception.
An Adaptive Approach to Modern-day Research Needs
The report offers a detailed assessment on the competition landscape of the automotive paint robots market, wherein key the automotive paint robots market players have been identified and profiled.
A dashboard view has been offered on the automotive paint robots market players in the report. Additionally, a SWOT analysis has been delivered on all the key automotive paint robots market players included in the report.
Some recent developments in the automotive paint robots market:
- Durr AG has recently introduced its EcoRP E043i 7-axis automotive paint robot, which enables operations deprived of linear displacement rail. This automotive paint robot of Durr AG offers greater kinematic freedom, while aiding end customers in saving on investments.
- Yaskawa Electric Corporation has launched two new automotive paint robots, namely the compact MPX1150 and the MPX2600, which are designed for automotive painting applications. These automotive paint robots of Yaskawa require relatively lower interference work envelopes, and can be installed in close proximity to workpieces.
- A recently launched automotive paint robot of KUKA, KR AGILUS, features greater arm reach than its competitive products in the automotive paint robots market. KR AGILUS allows for effective organization of work stations, and offers high precision and efficiency. This automotive paint robot is associated with minimum service cost, which translates directly into short ROI period.
Automotive Paint Robots Market - Definition
Automotive paint robots are equipment that facilitate detailing work on automobiles in a systematic and consistent manner.
The automotive paint robots are designed specifically with robotic arms that move in horizontal and vertical directions, in turn enabling uniform application of paint on the automobiles.
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About the Report
This report offers a scrutinized analysis on the automotive paint robots market for the period, 2018 to 2028. Key automotive paint robots market growth influencers, including drivers, challenges, trends, and opportunities, have also been studied in detail.
The size of the automotive paint robots market has been evaluated and rendered in terms of volume (units) as well as value (US$ Mn).
Additional Questions Answered
Some important questions on automotive paint robots market have been answered, apart from the aforementioned insights, have been listed below.
- What type of automotive paint robot will hold larger revenue share of automotive paint robot market?
- Which region will remain most lucrative for automotive paint robot market growth?
- What will be the revenue share of floor-mounted automotive paint robots in 2018?
- Will revenue share of ceiling-mounted automotive paint robots and rail-mounted automotive paint robots remain approximately equal?
- What will be the volume sales of 7-axis automotive paint robots in 2018?
A robust research methodology forms the base for the insights & forecast offered on the automotive paint robots market in this report. Exhaustive secondary and primary researches are conducted for gaining the most recent and accurate information on the automotive paint robots market.
Intelligence gained on automotive paint robots market from the primary interviews have been used for validating the data acquired from the secondary research.
The automotive paint robots market report is expected to be an authentic information source for enabling clients to make fact-based future expansion of their businesses in automotive paint robots market.
Automotive Paint Robots Market - Segmentation
The automotive paint robots market has been primary segmented into automotive paint robots type, automotive paint robots configuration, and regional markets for automotive paint robots.
Imperative automotive paint robots market numbers such as revenues, volume sales, Y-o-Y growth, CAGR, and the revenue share of all the automotive paint robots market segments and their sub-segments in terms of both value & volume, have been provided in the report.
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Is the market research conducted by Fact.MR?
Yes, the report has been compiled by expert analysts of Fact.MR, through a combination of primary and secondary research. To know more about how the research was conducted, you can speak to a research analyst.
What research methodology is followed by Fact.MR?
Fact.MR follows a methodology that encompasses the demand-side assessment of the market, and triangulates the same through a supply-side analysis. This methodology is based on the use of standard market structure, methods, and definitions.
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