Fatigue sensing wearables are devices that can sense and record different variables and parameters of an individual's body such as skin temperature and blood pressure, and pulse rate to detect drowsiness and exhaustive or fatigued state of the driver. Different types of sensors that monitor the person's condition to detect both physical and mental fatigue are available in the market.
Scope of the Report:
This report focuses on the Fatigue Sensing Wearables in Automotive in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
The gadgets available for detecting fatigue in the automotive industry are based on monitoring the heart rate or pulse rate, skin conductivity, and sweating. The vendors in this market offer products based on the measurement of pulse rate to detect if the person is falling asleep. These wearables work on the principle of skin conductivity or skin temperature and sweating and are cost-effective. Analysts predict that the physiological measurement segment will account for the major shares of this global market throughout the forecast period.
The worldwide market for Fatigue Sensing Wearables in Automotive is expected to grow at a CAGR of roughly xx% over the next five years, will reach xx million US$ in 2023, from xx million US$ in 2017, according to our study.
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Market Segment by Manufacturers, this report covers
- SmartCap Tech
- Analog Devices
Market Segment by Regions, regional analysis covers
- North America (United States, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia etc.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
- Physiological Measurement
- Brainwave-Based Measurement
Market Segment by Applications, can be divided into
- 18-45 Years Old
- 45-60 Years Old
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