Research Report on Automotive Radar Market

 Road accidents carry an annual mortality of 1.35 million, says the World Health Organization (WHO). Often, while driving, people don’t pay attention on the road or they drive at a higher speed than allowed. Pedestrians are to blame for a lot of the road accidents too, as many of them cross the road without looking both ways or while looking at or talking on the phone. To bring down the accident rate, several countries have made it mandatory for vehicles to have advanced driver-assistance systems (ADAS), which help the driver in more ways than one.

With the increasing installation of ADAS features in vehicles, the automotive radar market is predicted to grow at an 8.4% CAGR during 2020–2030, from $5,839.0 million in 2019. This is because ADAS depends on radars to determine the distance of various objects in the vehicle’s way, such as automobiles in the front and back, pedestrians on the road, or road blockages and stop signs. With time, the penetration of autonomous vehicles is also expected to increase, which would be even more dependent on radars. A large number of such automobiles are expected to be pressed in shared mobility services, thereby creating a high demand for radars.

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This would be because, for service providers, autonomous vehicles are a lot more cost-effective than human-driven ones. This is owing to their self-driving features, which eliminate the need for drivers and paying them salary. This, in turn, would help shared mobility companies offer rides to the masses at significantly lower rates. In the present era of the high costs associated with owning a personal vehicle, such as the automobile purchase cost, parking fee, fuel expenses, regular maintenance charges, and insurance premium, people are finding it convenient to share a ride than own a vehicle.

There are two types of such components integrated in automobiles: short- & medium-range and long-range. Of these, the former type has a higher installation rate, as the number of such radars in a vehicle is significantly higher than that of the long-range variants. For instance, in vehicles with level 1 autonomy features, two short- & medium-range and only one long-range radar are used. Similarly, in a level 2 autonomous vehicle, the number of short- & medium-range and long-range range radars is three and one, respectively. However, the use of long-range radars is increasing, as they can sense objects up to 150 meters away.

Hence, with the rising deployment of self-driving vehicles and integration of safety features in conventional automobiles, the requirement for radars will keep mushrooming.

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