Press release
Automotive Driver State Monitoring System Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2017 - 2022
Automotive Driver State Monitoring System
Research analysts forecast the global automotive driver state monitoring system market to grow at a CAGR of 10.77% during the period 2017-2021.
About Automotive Driver State Monitoring System
The driver state monitoring system is an advanced driver assistance system tool adopted to analyze the state of a driver while driving, thereby, preventing fatalities or injuries that can be caused due to distractions. The market encompasses the device which captures the driver's eye movement using infrared, camera, and other sensors. The driving behavior can be monitored by other methods like using sensors in seats and steering and by using biometrics. Driver state monitoring system detects drowsiness by eyeball movement and the stability of steer by measuring the steering angle. The market includes both passenger vehicles and commercial vehicles segments in APAC, EMEA, and the Americas.
Covered in this report
The report covers the present scenario and the growth prospects of the global automotive driver state monitoring system market for 2017-2021. To calculate the market size, the report considers the new installations of driver state monitoring system and exclude the aftermarket or replacement market of the system.
Browse full table of contents and data tables at https://www.marketresearchnest.com/global-automotive-driver-state-monitoring-system-market-2017-2021.html
The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA
Technavio's report, Global Automotive Driver State Monitoring System Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
Technavio recognizes the following companies as the key players in the global automotive driver state monitoring system market: Bosch, Continental, Seeing Machines, Tobii, Valeo, and Visteon.
Other Prominent Vendors in the market are: Aisin Seiki, Autoliv, Delphi Automotive, DENSO, EDGE3 Technologies, Ficosa, Harman International, Hyundai Mobis, Jungo Connectivity, Magna, Osram Opto Semiconductors, and Panasonic.
Commenting on the report, an analyst from Research team said: “The latest trend gaining momentum in the market is Advances in vision-based sensors and processors. Along with artificial intelligence and high-performance vehicle positioning and cloud connectivity, the advanced DSMS are playing a crucial role in the future of autonomous commercial vehicles. In an effort to improve the DSMS technology, various automotive solution developers are investing a significant amount in R&D of such systems. The developers are working on aspects, such as working of the system during the night, accurate analyses of fatigue, correct evaluation of concentration and drowsiness of the driver, to make the system more reliable and accurate.
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According to the report, one of the major drivers for this market is Reducing the number of accidents through use of DSMS. Drowsiness and fatigue in drivers are major causes of road accidents, especially for commercial vehicle drivers who have to travel long distances for logistics and transportation purposes. According to research, more than 20% of the crashes reported in 2010 were caused due to drowsiness or fatigue of drivers. Also, it was found that more than 10% of the rear-end vehicle collisions were caused due to fatigue-related problems. The number of vehicle collisions is increasing, and so is the fatality rate. This has been a major cause of concern for fleet operators as well as the governments of various countries.
Further, the report states that one of the major factors hindering the growth of this market is Limitations in measuring drowsiness and fatigue through behavioral activity. There are some functional limitations in DSMS. As a result, it is unable to detect fatigue, drowsiness, and lack of concentration accurately. The inefficacy is mostly related to accurate detection of drowsiness in drivers, which is calculated based on the eye movements of the person. In certain instances, the system has been unable to identify the level of drowsiness accurately.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
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