A gesture recognition system is a type of technology that uses sophisticated sensors to read and interpret hand movements and gestures as commands to perform specific actions. Gesture recognition is useful in automotive because it allows drivers and passengers to interact with the vehicle. The automotive industry's ongoing efforts to develop semi-autonomous and autonomous vehicles will drive demand for the sensor market. The automotive industry has achieved levels 0, 1, and 2 autonomy, and it is currently developing and testing advanced levels 3, 4, and 5.  

The market share of automotive gesture recognition systems will increase as consumers, concerned government authorities, and manufacturers become more aware of the benefits of using them. Growing government investments in the automotive industry are increasing the market growth rate to some extent. The growing awareness of the use of gesture recognition systems in automobiles and other vehicles drives the market share upward. Furthermore, cameras used in automobiles, as well as other sensors such as infrared and LiDAR sensors, aid in the accurate analysis of the surroundings and assist the driver when using hand gestures. This expands the range of applications that the driver can control with gestures. As sensor technology advances, so does the consumer base, resulting in increased market size.

The automotive gesture recognition system is still in its early stages of development, and it can currently be used for limited applications such as climate control and sound system controls, among others. These can make it difficult for users to adopt gesture recognition technology. This eventually acts as a brake on market growth. Additionally, implementing gesture recognition systems in automobiles is an expensive process. For the gesture recognition system to function, the vehicle must have specific hardware and software installed, depending on the system and applications offered. As a result, the high cost of implementation may limit manufacturers' ability to provide gesture recognition systems, increasing the overall cost of the vehicle. 

 

The COVID-19 pandemic caused a decline in automobile market share. Vehicle production and supply were significantly reduced. The disruption in the global supply chain was the cause of this. Raw materials could not be supplied to gesture recognition system producers, and delivery of gesture recognition systems from producers to consumers was halted. The economic distress that spread across all sectors of society during the COVID-19 pandemic had a negative impact on market growth. Although COVID-19 had a negative impact on the automotive gesture recognition systems market in the aftermath of the pandemic, market share has since recovered. 

The market study provides market data by competitive landscape, revenue analysis, market segments and detailed analysis of key market players such as; Cipia Vision Ltd., Cognitec Systems GmbH, CONTINENTAL AG, NXP SEMICONDUCTORS, QUALCOMM TECHNOLOGIES, INC., SAMSUNG ELECTRONICS CO., LTD., Sony Corporation, Synaptics Incorporated, Usens Inc. and VISTRON CORPORATION.

By Authentication Type: Based on the Authentication Type, Global Automotive Gesture Recognition System Market is segmented as; Facial Recognition, Hand/Finger Print/ Leg Recognition, Vision/IRIS Recognition and Others.

By Application: Based on the Application, Global Automotive Gesture Recognition System Market is segmented as; Multimedia/Infotainment/Navigation, Lighting Systems and Others.

By Component: Based on the Component, Global Automotive Gesture Recognition System Market is segmented as; Touch- Based Systems and Touchless Systems.

By Region: This research also includes data for North America, Asia-Pacific, Latin America, Middle East & Africa and Europe.

This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.