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The global automotive blind spot detection system market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 11% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.
The automotive blind spot detection (BSD) system refers to a sensor-based solution used to identify objects in the periphery of the mirrors or bumper of the vehicle. It consists of various embedded sensors that send out electromagnetic waves or computer-processed images through a digital camera. Some of the commonly used BSD sensors include radar-, ultrasonic- and light detection and ranging (LiDAR)-based sensors. Upon detecting a stationary or moving object, the system generates tactile, audible, vibrating or visual signals to warn the driver. As a result, the system is widely used in passenger cars and light, medium and heavy commercial vehicles.
The growing automotive industry across the globe represents one of the key factors creating a positive outlook for the market. Furthermore, the increasing utilization of innovative tools and systems to minimize the instances of vehicle collisions and accidents is providing a thrust to the market growth. With the growing demand for luxury vehicles, automobile manufacturers are integrating various advanced safety features, such as pedestrian detection and BSD systems, for enhanced object detection and cross-traffic alerts. In line with this, widespread adoption of radar-based BSD systems in commercial vehicles for long, medium and short-range object detection is also favoring the market growth. Additionally, various technological advancements, such as the development of smart mirrors and multicamera systems, are acting as other growth-inducing factors. These systems are usually combined with the existing infotainment screens and use ultrasonic waves that work in extreme weather conditions with high accuracy. Other factors, including the implementation of stringent government policies to enhance road and passenger safety, along with rising expenditure capacities of individuals, are anticipated to drive the market further.
IMARC Group provides an analysis of the key trends in each sub-segment of the global automotive blind spot detection system market report, along with forecasts for growth at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, vehicle type, technology and end user.
Breakup by Vehicle Type:
Breakup by Technology:
Breakup by End User:
Breakup by Region:
The report has also analysed the competitive landscape of the market with some of the key players being Autoliv Inc., Continental Aktiengesellschaft, Delphi Technologies Plc, DENSO Corporation, Ficosa International S.A. (Panasonic Corporation), Magna International Inc., Mando Corporation, Preco Electronics Inc. (Sensata Technologies), Robert Bosch GmbH, Smart Microwave Sensors GmbH and ZF Friedrichshafen AG (Zeppelin-Stiftung).
|Base Year of the Analysis||2020|
|Segment Coverage||Vehicle Type, Technology, End User, Region|
|Region Covered||Asia Pacific, Europe, North America, Latin America, Middle East and Africa|
|Countries Covered||United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico|
|Companies Covered||Autoliv Inc., Continental Aktiengesellschaft, Delphi Technologies Plc, DENSO Corporation, Ficosa International S.A. (Panasonic Corporation), Magna International Inc., Mando Corporation, Preco Electronics Inc. (Sensata Technologies), Robert Bosch GmbH, Smart Microwave Sensors GmbH and ZF Friedrichshafen AG (Zeppelin-Stiftung)|
|Customization Scope||10% Free Customization|
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|Post-Sale Analyst Support||10-12 Weeks|
|Delivery Format||PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)|
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