|Base Year Market Size
|USD 5.1 Billion
|Forecast Year Market Size
|USD 14.0 Billion
|Fastest Growing Market
The global collision avoidance sensor market size was valued at USD 5.1 billion in 2022. It is projected to reach USD 14.0 billion by 2031, growing at a CAGR of 11.9% during the forecast period (2023–2031)
An automated system or human operator can avoid colliding with an object by using a collision avoidance sensor system to identify objects or obstacles in their path. The global collision avoidance sensor market is expanding due to expanding applications for collision avoidance sensors in the mining, construction, and automotive industries. The demand for better sensory technology has increased as a result of both the rise in accidents worldwide and the introduction of automated driving assistance systems. Vendors have begun introducing element-specific automobile sensors to provide the highest level of accuracy.
These sensors operate on the echo-ranging principle, which involves the ranger sending a high-frequency light, radio, or audio frequency. These sensors are used in new ADAS systems being put into cars for higher security levels because they can foresee any potential contact. The sensor's intensity can be adjusted appropriately. The 360-degree cameras and laser technology make it simpler for the driver to feel the contact and even see what has happened in the sensory range. In the most typical case, sensors prevent collisions when a driver reverses their car in a parking lot.
The sale of high-end and mid-range vehicles is rising globally due to technological advancements, growing safety concerns, and rising consumer purchasing power for luxury and autonomous vehicles. These cutting-edge cars have advanced driver assistance features like brake assists, forward collision warning, lane departure warning, automatic emergency braking, pedestrian detection, adaptive cruise control, blind-spot detection, automatic high beams, and backup cameras. They also have anti-collision sensors with various technologies like radar, LiDAR, and ultrasound. The use of automatic emergency braking systems, lane-departure warning systems, electronic stability controls, and automatic brake systems in European Union vehicles is already required. Due to the rising demand for autonomous vehicles, automakers worldwide are heavily investing in R&D activities and adding cutting-edge features to functions like monitoring, warning, steering, and braking to set their products apart from their rivals.
In business, drones are frequently used. Drone use is rising across many industrial sectors. The use of collision sensors is additional. Autonomous drones have a high demand for this product. These market demand factors will probably increase demand for collision avoidance sensors overall. We present a camera with a hemispherical field of view. To create a genuinely omnidirectional sensor, two such cameras can be placed back-to-back without going against the single viewpoint restriction. We investigate how such a sensor might affect computational vision.
Radar, LiDAR, ultrasonic, and other anti-crash and block hole detection systems are a few examples of collision avoidance sensors with several benefits. On the other hand, some elements that have an impact on how these devices sense things may also have an impact on how well these sensors perform. Several sensors essential to operating advanced safety systems can become blocked and shut down due to snow, ice, or salt grimes/dirt accumulating on cars. This is a significant limitation that collision avoidance sensors encounter when in use. Other barriers to using sensors and cameras include sensor placement and maintenance, blind-spot monitoring systems mounted outside vehicles, and the impact of ice, snow, salt, or dirt.
24 GHz and 77 GHz are the two frequencies that are frequently used in radar applications. The market is moving toward 77-GHz radars due to regulations regarding radar sensors, and this shift has several advantages for both the automotive and industrial sectors. The ISM (industrial, scientific, and medical) band, also known as the narrow band with a bandwidth of 250 MHz, spans the frequency range of 24 GHz between 24.0 GHz and 24.25 GHz. Basic applications like blind spot detection use the 5-GHz wide band (ultra-wideband), which is a part of this band type. Narrowband usage is sometimes appropriate, but ultra-wideband (UWB) devices are needed for long ultra-wideband applications with a limited frequency range. The ultra-wideband (UWB) is therefore anticipated to be completely phased out starting in 2022 as a result of spectrum regulations and standards created by the Federal Communications Commission (FCC) and the European Telecommunications Standards Institute (ETSI).
Europe collision avoidance sensor market size is expected to grow at a CAGR of 10.96% during the forecast period. The UK, Germany, France, Italy, Spain, and the rest of Europe are all included in the analysis of Europe's collision avoidance sensor market. Stringent government regulations and a thriving automotive industry propel it. Large-scale studies on collision warning and avoidance systems have been happening in the area. For instance, the European Union is conducting in-depth research as part of the eSafety program of the European Commission. Europe has an advantage over other regions because it pioneered adopting collision avoidance technology. Investment in the collision avoidance sensor market is increased by the presence of major players in Germany. These systems must adhere to strict regulations to prevent accidents. A collision in the air can also be avoided using this sensor. Demand for collision avoidance sensors is rising across all industries, including mining, transportation, and automobiles.
Asia Pacific is expected to grow at the fastest CAGR of 12.82% during the forecast period. China, India, Japan, Australia, and the rest of Asia-Pacific are all included in the analysis of the Asia-Pacific collision avoidance sensor market. Due to the increased emphasis on implementing strict road safety regulations, Asia Pacific is predicted to experience remarkable growth. The government’s implementation of strict safety regulations, economic growth, the rising purchasing power of consumers, high standards of living, GDP growth, and rising sales of premium cars are anticipated to be significant regional growth drivers for Asia Pacific and MEA.
|Robert Bosch GmbH Rockwell Collins Inc. L3 Technologies Saab AB General Electric Delphi Automotive Plc. Denso Corporation Mobileye Autoliv Inc. Becker Mining Hexagon Wabtec Corporation Honeywell International Inc. Alstom Siemens AG
|U.K. Germany France Spain Italy Russia Nordic Benelux Rest of Europe
|China Korea Japan India Australia Taiwan South East Asia Rest of Asia-Pacific
|Middle East and Africa
|UAE Turkey Saudi Arabia South Africa Egypt Nigeria Rest of MEA
|Brazil Mexico Argentina Chile Colombia Rest of LATAM
|Revenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends
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Based on type, the global market is bifurcated into adaptive cruise control, autonomous emergency braking, lane departure warning systems, parking assistance, and others.
The parking assistance segment is the highest contributor to the market and is expected to grow at a CAGR of 11.56% during the forecast period. Vision-based and ultrasound anti-collision sensors are used in vehicles with parking assistance systems. When the park assist locates a suitable parallel or perpendicular space, it immediately notifies the driver. The system determines the best way to enter the space, the number of steering maneuvers required, and the best path if the driver presses the button to activate the park assist. For instance, parking assistance systems with integrated surround-view cameras and ultrasonic sensors are available on Mercedes-Benz, BMW, Audi, and Infiniti vehicles.
Based on technology, the global market is bifurcated into LiDAR, camera, RADAR, and ultrasonic.
The RADAR segment is the highest contributor to the market and is expected to grow at a CAGR of 12.1% during the forecast period. Radars are the most popular detection system option that demands precise measurement of the location and distance of obstacles. Although they have a smaller and shorter field of view than radar, vision and infrared cameras are more helpful in identifying and categorizing obstacles. Short-range obstacle detection is possible with low-cost ultrasound systems. They are mainly utilized in solutions for vehicle parking assistance. LiDAR-based anti-collision sensors can produce detailed imagery and have a wide field of view.
Based on application, the global market is bifurcated into automotive, defense & aerospace, construction & mining, marine, and rail.
The automotive segment is the highest contributor to the market and is expected to grow at a CAGR of 11.72% during the forecast period. Worldwide, there is an increase in the sales of high-end luxury vehicles, utility vehicles, and sports utility vehicles (SUVs). The global market for collision avoidance sensors is anticipated to grow due to the development of fully automated self-driving cars. Additionally anticipated to positively affect market growth are innovations and advancements in sensor technology and their incorporation into autonomous transportation systems. The global collision avoidance sensor market's growth is driven by strict regulations aimed at driver and passenger safety, rising consumer demand for vehicle safety, and rising investments from automotive companies.