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.
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 global Fatigue Sensing Wearables in Automotive market was valued at xx million US$ in 2018 and will reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on Fatigue Sensing Wearables in Automotive volume and value at global level, regional level and company level. From a global perspective, this report represents overall Fatigue Sensing Wearables in Automotive market size by analyzing historical data and future prospect.
Regionally, this report categorizes the production, apparent consumption, export and import of Fatigue Sensing Wearables in Automotive in North America, Europe, China, Japan, Southeast Asia and India.
For each manufacturer covered, this report analyzes their Fatigue Sensing Wearables in Automotive manufacturing sites, capacity, production, ex-factory price, revenue and market share in global market.

The following manufacturers are covered:
Bosch
Delphi
Toyobo
SmartCap Tech
Analog Devices
Caterpillar
Omnitracs
Xilinx

Segment by Regions
North America
Europe
China
Japan
Southeast Asia
India

Segment by Type
Physiological Measurement
Brainwave-Based Measurement

Segment by Application
18-45 Years Old
45-60 Years Old
Other