North America Advanced Driver Assistance systems (ADAS) Market Forecast to 2028 – COVID-19 Impact and Regional Analysis – by Sensor Type (Image Sensor, LiDAR, Radar Sensor, Ultrasonic Sensor, and Infrared Sensor), Technology Type (Adaptive Front Light, Blind Spot Detection, Electronic Brake Assist, Drowsiness-Monitoring System, Lane Departure Warning, Head-up Display, Night Vision System, Park Assist, E-Call Telematics, Tire Pressure-Monitoring System, and Others), and Vehicle Type (Passenger Car, LCV, and HCV)
The North America advanced driver assistance systems (ADAS) market is expected to grow from US$ 7,236.40 million in 2022 to US$ 28,491.30 million by 2028; it is estimated to grow at a CAGR of 25.7% from 2022 to 2028.
The rising adoption of advanced driver assistance systems (ADAS) is fueled by the incorporation of different sensors, such as radars, cameras, and ultrasonic sensors, and light detection and ranging (LiDAR) systems into automobiles to ensure improvement in road safety. One of the most significant advantages of LiDAR is that the light source is a fully integrated component of the LiDAR system. LiDAR sensors generate light pulses that light up the required area using an eye-safe laser. LiDAR works 24/7, with no loss of performance owing to obstructing factors such as shadows, sunshine, or headlight glare. For example, LeddarTech's LeddarEngine, a LiDAR system, can process over 1 billion data per second, and it can easily understand the process of the LiDAR system figuring out an object's shape, size, and movement, which implies that the car is always updated about its surroundings. The resolution can be increased with the availability of more comprehensive 3D data. High resolutions are crucial for autonomous driving; however, smart toll systems require lesser resolutions. Further, LiDAR determines the size of the driving vehicle before activating a camera that captures the license plate for toll collection. In addition, autonomous driving and smart toll system need extreme precision, and LeddarTech’s LeddarEngine achieves that by providing scalable architecture. If additional light pulses need to be captured and analyzed, more LeddarEngine SOCs can be utilized in parallel. These factors led to the growth of the advanced driver assistance systems (ADAS) market.
With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the North America advanced driver assistance systems (ADAS) market at a good CAGR during the forecast period.
North America Advanced Driver Assistance Systems (ADAS) Market Revenue and Forecast to 2028 (US$ Million )
North America Advanced Driver Assistance Systems (ADAS) Market Segmentation
The North America advanced driver assistance systems (ADAS) market is segmented based on sensor type, technology, vehicle, and country. Based on sensor, the North America advanced driver assistance systems (ADAS) market is segmented into image sensor, LiDAR, radar sensor, ultrasonic sensor, and infrared sensor. The ultrasonic sensor segment is dominating the market in 2022. Based on technology, the North America advanced driver assistance systems (ADAS) market is categorized into adaptive front light, blind spot detection, electronic brake assist, drowsiness-monitoring system, lane departure warning, head-up display, night vision system, park assist, E-call telematics, tire pressure-monitoring system, and others. The blind spot detection segment is dominating the market in 2022. Based on vehicle, the North America advanced driver assistance systems (ADAS) market is categorized into passenger car, LCV, and HCV. The passenger car segment is dominating the North America advanced driver assistance systems (ADAS) market in 2022. Based on country, the North America advanced driver assistance systems (ADAS) market is segmented into the US, Canada, and Mexico. The US is dominating the market in 2022.
A few key players operating in the North America advanced driver assistance systems (ADAS) market are Aptiv PLC; Continental AG; Cypress Semiconductor Corporation; Denso Corporation; First Sensor AG; Harman International; Hitachi, Ltd.; NXP Semiconductors; Robert Bosch GmbH; and ZF Friedrichshafen AG by Altair.
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