Mo. Aug 5th, 2024

As per BIS Research, the global ADAS and autonomous sensor maintenance equipment industry is expected to reach $34.6 million by 2031, with a CAGR of 30.94% during the forecast period 2021-2031. According to recent studies, the rapid advancement of automated driving features is leading to the integration of sensors and camera systems in the vehicle’s front and back.

According to the market scenario, by 2031, half of a car’s cost will be accounted for by its electronics, in which sensors and semiconductors play a key role. As a result, to avoid increasing breakdowns, these sensors will need to be safeguarded. Advanced driver-assistance systems (ADAS) have already tremendously broadened the range of sensor applications. Sensors are used to automate or assist with a variety of driver activities, including parking, blind-spot monitoring, safe braking, and accident avoidance in ADAS technologies.

Fluid-Based Sensor Maintenance Equipment Generated the Highest Demand:

The fluid-based sensor maintenance segment dominates the worldwide ADAS and autonomous sensor maintenance equipment industry and is likely to continue to do so during the forecast period (2021-2031). Liquid jets (fluid) are a known and proven technique of cleaning vehicles. It’s difficult to overestimate the attractiveness of a proven technology that has been created to meet the automobile industry’s stringent quality, durability, and cost requirements. Applying this strategy to sensors, on the other hand, introduces new issues in terms of capacity, performance, and long-term.

Continental, one of the leading companies in the ADAS and autonomous sensor maintenance equipment market, is working on a technology that will use fluid to clean the 360-degree cameras, which will be used in future systems. The cameras will be deployed in various parts of the vehicle, such as forward, side, rear, and rooftop. A built-in nozzle housing will clean the surface by simply spraying it with fluid. Seeva Technologies has designed a system that uses engine heat to reheat washer fluid, allowing it to clear windshields more effectively. While this isn’t designed to clean sensors right now, the company will use this fundamental technology for ADAS sensor cleaning in the future.

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One of the key factors for this market is the growing need to reduce road accidents, and sensor obstruction while driving is a major concern in a self-driving vehicle. The autonomous industry is aware of the problem, but few automakers have decided to address it. While a clogged sensor might disable an autonomous vehicle (AV), it also leads to an uncomfortable interruption of an assisted-driving or ADAS feature for human drivers. The ADAS and autonomous sensor maintenance equipment are utilized to counter the rising number of road accident fatalities for the effective functioning of the vehicles.

Key Market Players and Competition Synopsis:

Continental AG, SEEVA Technologies, Inc., Ficosa Internacional SA, Magneti Marelli S.p.A., dlhBOWLES, Röchling SE & Co. KG, Kendrion, Waymo, Ford Motor Company, Kautex Textron GMBH & CO. KG, ACTASYS, INC., MS Foster & Associates, INC., Valeo, Shenzhen Mingshang Industrial Co. Ltd., Exotic Automation & Supply

Key Questions Answered in the Report:

• What are the key drivers and challenges in the global ADAS and autonomous sensor maintenance equipment?
• How does the supply chain function in the global ADAS and autonomous sensor maintenance equipment?
• Which vehicle type segment is expected to witness the maximum demand growth in the global ADAS and autonomous sensor maintenance equipment industry during 2020-2031?
• Which are the key application areas for different product types that may experience high demand during the forecast period, 2020-2031?
• Who are the key manufacturers of different ADAS and autonomous sensor maintenance equipment?
• What are the key offerings of the prominent manufacturers in the global market for ADAS and autonomous sensor maintenance equipment?
• Which regions and countries are leading in terms of consumption of global ADAS and autonomous sensor maintenance equipment, and which of them are expected to witness high demand growth from 2020 to 2031?
• What are the key consumer attributes in various regions for ADAS and autonomous sensor maintenance equipment?

The report compiles various segmentations, including market breakdown by application, product, material, and region. The report highlights the market’s essential driving and restraining forces and the opportunities in different applications across the leading countries. In the extensive primary research process undertaken for this study, the sources include industry experts and key executives from prominent companies and organizations across the value chain.

The report also provides a country-based analysis of all the leading countries in every region, including the U.S., the U.K., China, Japan, Mexico, Canada, South Korea, Brazil, Spain, and Germany. Each regional analysis details an individual push-and-pull force, in addition to the key players and applications in that region.

About BIS Research:

BIS Research (Business Intelligence and Strategy Research) is a global B2B market intelligence and advisory firm focusing on those emerging technological trends which are likely to disrupt the dynamics of the market.
With over 150 market research reports published annually, BIS Research focuses on high technology verticals such as 3D Printing, Advanced Materials and Chemicals, Aerospace and Defense, Automotive, Healthcare, Electronics and Semiconductors, Robotics and UAV, and other emerging technologies.

Our in-depth market intelligence reports focus on the market estimations, technology analysis, emerging high-growth applications, deeply segmented granular country-level market data, and other important market parameters useful in the strategic decision-making for senior management.

What distinguishes BIS Research from the rest of the players is that we don’t simply provide data but also complement it with valuable insights and actionable inputs for the success of our clients.

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