Automotive Gesture Recognition Market Report 2024

This Automotive Gesture Recognition market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The automotive gesture recognition market size has grown exponentially in recent years. It will grow from $1.66 billion in 2023 to $2.0 billion in 2024 at a compound annual growth rate (CAGR) of 20.1%. The increase in the historic period can be linked to the rising demand for improved user interfaces in vehicles, the advancement of driver assistance systems (ADAS), a greater focus on driver safety and convenience, progress in sensor technologies, and the transition towards electric and autonomous vehicles.

The automotive gesture recognition market size is expected to see exponential growth in the next few years. It will grow to $4.17 billion in 2028 at a compound annual growth rate (CAGR) of 20.2%. The anticipated growth in the forecast period is driven by the growing consumer demand for smooth and intuitive human-machine interactions, continued development of fully autonomous vehicles, a heightened emphasis on enhancing the in-car experience in electric vehicles, the expansion of smart vehicle technologies, and a stronger awareness of environmental sustainability promoting the adoption of advanced automotive features. Key trends in the forecast period include the integration of gesture recognition systems in electric and autonomous vehicles, advancements in driver assistance systems (ADAS), the use of artificial intelligence and machine learning, the growth of touchless technology, and the increasing prevalence of in-vehicle infotainment systems with gesture controls.

The increasing consumer demand for connected vehicles is expected to drive the growth of the automotive gesture recognition market. Connected vehicles are sophisticated cars equipped with technology that allows communication with external systems and devices. This demand is fueled by a focus on safety, enhanced convenience, and improved driving experiences. Gesture recognition technology allows drivers to control vehicle functions without physical contact, reducing distractions and increasing safety. It also assists drivers with disabilities, improves accessibility, and integrates with AI to offer personalized and adaptive user experiences. For example, a report from the Insurance Institute for Highway Safety, a US-based non-profit organization, projected in August 2022 that there would be 3.5 million autonomous vehicles on American roads by 2025, with the number expected to rise to 4.5 million by 2030. As a result, the growing consumer interest in connected vehicles is propelling the automotive gesture recognition market.

Leading companies in the automotive gesture recognition market are focusing on advanced biometric facial recognition to offer personalized driving experiences and facilitate seamless interaction with in-car systems. This technology uses cameras and algorithms to identify vehicle occupants based on their facial features. For instance, in January 2024, Continental AG, a Germany-based automotive manufacturer, introduced the Face Authentication Display, a two-stage access control system that employs advanced biometric technology for enhanced vehicle security and user convenience. The system, integrated discreetly behind the driver’s display console, features a high-contrast organic light-emitting diode (OLED) screen that preserves the vehicle’s sleek design while using its pixels for facial identification. It supports facial recognition both inside and outside the vehicle, improving security by preventing unauthorized access and allowing control over entry for family members. Additionally, it prevents children from starting the engine, adding an extra layer of safety.

In January 2023, PreAct Technologies Inc., a US-based developer specializing in near-field software-definable flash lidar, acquired Gestoos SA for an undisclosed amount. This acquisition is intended to enhance PreAct’s ability to provide advanced sensor solutions across multiple sectors, including automotive, robotics, and industrial applications. Gestoos SA, a Spain-based company, specializes in gesture recognition technology for the automotive industry.

Major companies operating in the automotive gesture recognition market are Robert Bosch GmbH, Intel Corporation, Qualcomm Incorporated, Continental AG, Mitsubishi Electric Corporation, Fujitsu Limited, NVIDIA Corporation, Avnet Inc., Valeo India Private Limited, Texas Instruments Incorporated, STMicroelectronics N.V., Infineon Technologies AG, NXP Semiconductors N.V., Harman International Industries Incorporated, Zebra Technologies Corporation, IDEMIA, Synaptics Inc., Omnivision Technologies Inc., Cognex Corporation, Visage Technologies, Ultraleap Limited, LeddarTech Inc., Motion Gestures.

North America was the largest region in the automotive gesture recognition market in 2023. The regions covered in the automotive gesture recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the automotive gesture recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Automotive gesture recognition technology allows drivers and passengers to operate vehicle systems using hand gestures or body movements without the need to touch physical controls. This technology employs sensors and cameras to interpret gestures, improving safety and comfort by reducing distractions and providing a more intuitive and seamless interaction. It also enhances the in-car experience with a modern and user-friendly interface.

Key types of automotive gesture recognition include hand recognition, fingerprint recognition, palm recognition, leg recognition, facial recognition, vision, and iris recognition, among others. Hand, fingerprint, palm, and leg recognition technologies detect specific physical attributes or movements to improve vehicle control and user interaction, making the system both safer and more intuitive. The involved products consist of both touch-based and touchless systems for applications such as multimedia, infotainment, navigation, and lighting systems.

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The automotive gesture recognition market consists of revenues earned by entities by providing services such as consulting services, data analytics services, and system integration. The market value includes the value of related goods sold by the service provider or included within the service offering. The automotive gesture recognition market also includes sales of control panels, microprocessors, haptic feedback devices, and gesture recognition modules. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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