Global Automotive Gesture Recognition Market Insights, Trends & Future Development Status Recorded d

Published: Mon Dec 17 2018

Automotive manufacturers, particularly carmakers, are offering a plethora of infotainment and other electronic features that can be manipulated by driver and passengers. However, increasing number of functionality features inside the vehicle holds the potential risk of driver distraction. Studies have observed that among the causes of driver distraction, visual and manual distractions are at the helm. As manufacturers and product development engineers are engaged in developing functionality features with least driver distraction, the gesture detection systems based on different sensors and 3D tracking technology continue to fail in achieving the highest efficiency. Disruptive innovations are being introduced in the automotive gesture recognition market that focus on reducing driver distraction and enhancing comfort and control of the driver at an affordable cost. Innovations as such are likely to influence the growth trajectory of the automotive gesture recognition market in the coming years.

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Shift towards Touchless Systems Gaining Momentum; Touch-based Gesture Recognition Dominates

The dominance of the touch-based gesture recognition systems in the Automotive Gesture Recognition Market against the backdrop of a prominent end-user sentiment for touch-based technologies. While over 80% of the global market shares in 2017 were captured by touch-based gesture recognition segment, touchless systems have entered the market witnessing a considerably rising consumer confidence and are expected to witness an optimistic market outlook during the forecast period and beyond. However, adoption of touchless automotive gesture recognition system in the simple operations increases complexity and is likely to face the challenge of restricted adoption as compared to touch-based systems.

Increasing Implementation of the Functional Safety Technology in Automobiles Drives Adoption of Gesture Recognition Technology

To align with the rising awareness regarding driver safety and growing consumer demand for safety features, automakers are actively engaged in ways to install multiple safety features in the automobiles that ensure safety without affecting the interior design of automobiles. Owing to technological advancements, implementation of sensor-based electronic devices in automobiles has amplified in the past decade. On the same lines, the human-machine interface (HMI) in the form of gesture recognition is being installed in automobiles at a higher rate. Further, with the increasing government regulations for driver safety, the trend of installation of the functional safety features has been propelled, in turn, expected to drive the automotive gesture recognition market at an exponential rate in the coming years.

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Vehicle Electrification and Autonomous Driving Trends to Present Lucrative Opportunity for Gesture Recognition Market

Electrification of the automotive industry has introduced autonomous and electric vehicles that are the highest consumer of electronic devices. Autonomous vehicles, in particular, present the epitome of electronic device operations where the vehicle is guided by sensors and assisting systems providing minimum human intervention. Sensor-based automotive gesture recognition technology is likely to be installed in the increasing numbers of electric and autonomous vehicles. Growing importance of driver safety and ongoing electrification of the automotive industry is set to present new opportunities for the automotive gesture recognition market.

About the Report

FactMR’s new report analyzes the automotive gesture recognition market performance on the global stage during the forecast period of 2012 – 2022. The report provides a thorough analysis and valuable insights into the automotive gesture recognition market that provides the readers with an all-inclusive scenario of the market. Considering various facets of the market, the market study focuses on important segments including product types of the automotive gesture recognition market including touch-based systems and touchless systems. The report elaborates other segments on the basis of recognition types including hand/fingerprint, vision/iris and facial; based on application types including multimedia/navigation/infotainment, lighting systems, and door/window opening and based on vehicle type passenger car (PC), light commercial vehicle (LCH) and heavy commercial vehicle (HCV) of the automotive gesture recognition market. An exhaustive research study backed by historical data, current market size and future market projections delivers the most credible market forecast of the automotive gesture recognition market.

Market Definition

Automotive gesture recognition is comprised of electronic system installed in automobiles as a part of the human-machine interface (HMI). The automotive gesture recognition systems work on and the motion sensors of the gesture recognition system perceive physical movements of the driver without the need of physical contact or manual data insertion.  Eye tracking, facial recognition, voice recognition, and lip movement analysis are known as perceptual user interfaces that collectively form gesture recognition system in automobiles.

Competitive Landscape

The competitive landscape discusses the market position of key companies operating in the automotive gesture recognition market on the global stage. With the ongoing electrification of the automotive industry, automakers are expected to introduce electric automobiles with the functional safety features including driver assistance such as gesture recognition systems. The recent past has witnessed significant merger, acquisition and other expansion strategies adopted by the automotive gesture recognition manufacturers. Such developments are likely to bode well for the progress of the automotive gesture recognition market during the forecast period.

The report has identified key market players of the automotive gesture recognition market, few of them are Continental AG, Harman International, NXP Semiconductors, Cognitec Systems GmbH, Gestigon GmbH, Eyesight Technologies, Synaptics Incorporated, Softkinetic, Visteon Corporation, and Qualcomm Technologies Inc. among others.

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