Gesture recognition facilitates hands-free control of navigation systems, allowing users to input destinations, zoom in or out on maps, and make calls without manual interaction. Reduces distractions, road and focus on the road, and streamlines communication and navigation tasks for a more efficient driving experience. Gesture-controlled parking assistance systems enable users to manipulate cameras and receive visual feedback, aiding in precise parking manoeuvres. Simplifies parking in tight spaces, making it more accessible for drivers and reducing the risk of collisions during parking.
Gesture recognition systems contribute to accessibility by allowing individuals with physical disabilities to operate various vehicle functions using hand gestures. Promotes inclusion by allowing a broader spectrum of individuals to experience the freedom and independence of driving. Gesture recognition is increasingly being integrated into vehicle entertainment and gaming features, allowing users to interact with in-car entertainment systems through gestures. Gesture recognition can interpret specific gestures as alerts or warnings, providing a non-verbal means of communication between the vehicle and the driver.
Maruti Suzuki, a leading automaker in India, has introduced the SmartPlay Studio infotainment system in models like the Maruti Suzuki Dzire. The system includes advanced features such as touchscreen controls and gesture recognition, showcasing the integration of new technologies in mainstream models in India. The Mercedes-Benz E-Class, for example, incorporates gesture recognition for hands-free control of infotainment and navigation functions in India. All these factors will uplift the regional market’s expansion in the coming years.
The China market dominated the Asia Pacific Automotive Gesture Recognition System Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $363.5 Million by 2030. The Japan market is registering a CAGR of 17.8% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 19.3% during (2023 - 2030).
Based on Component, the market is segmented into Touchless Systems, and Touch Based Systems. Based on Application, the market is segmented into Multimedia/Infotainment/Navigation, Lighting Systems, and Others. Based on Authentication Type, the market is segmented into Hand/Finger Print/Leg Recognition, Vision/IRIS Recognition, Facial Recognition, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Aptiv PLC, Cognitec Systems GmbH (Salto Systems, S.L.), Continental AG, NXP Semiconductors N.V., Samsung Electronics Co., Ltd. (Samsung Group), Sony Corporation, Synaptics Incorporated, Qualcomm Incorporated, Visteon Corporation, and Apple, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Component
- Touchless Systems
- Touch Based Systems
By Application
- Multimedia/Infotainment/Navigation
- Lighting Systems
- Others
By Authentication Type
- Hand/Finger Print/Leg Recognition
- Vision/IRIS Recognition
- Facial Recognition
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Aptiv PLC
- Cognitec Systems GmbH (Salto Systems, S.L.)
- Continental AG
- NXP Semiconductors N.V.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Sony Corporation
- Synaptics Incorporated
- Qualcomm Incorporated
- Visteon Corporation
- Apple, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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Table of Contents
Companies Mentioned
- Aptiv PLC
- Cognitec Systems GmbH (Salto Systems, S.L.)
- Continental AG
- NXP Semiconductors N.V.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Sony Corporation
- Synaptics Incorporated
- Qualcomm Incorporated
- Visteon Corporation
- Apple, Inc.
Methodology
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