Research Overview

Sensors are an integral component found in most digital devices, from smartphones to intelligent vehicles. Industrial Internet of Things, smart cities and factories, autonomous cars, and telehealth create a need for sensor solutions that offer advanced data analytics for efficient usage of energy sources, improved health and safety, and environmental monitoring. Combining data obtained from various sensors using fusion algorithms yields faster insights and provides sophisticated error-free analysis than data obtained from individual sensors.

Sensor fusion constantly deals with sensor outputs. As such, fusion algorithms must be aware of the sensor output type. The development of sensor components with more standardized outputs will lead to easy-to-install sensor fusion algorithms.

This report analyzes the importance of sensor fusion in today's era, factors driving and restricting their growth, competitor analysis, and future growth opportunities.