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Global Automotive Gesture Recognition Systems Market Size By Type Of Gesture Recognition, By Application, By Vehicle Type

Published Date: August - 2024 | Publisher: MIR | No of Pages: 320 | Industry: latest updates trending Report | Format: Report available in PDF / Excel Format

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Global Automotive Gesture Recognition Systems Market Size By Type Of Gesture Recognition, By Application, By Vehicle Type

Automotive Gesture Recognition Systems Market Size And Forecast

Automotive Gesture Recognition Systems Market size was valued at USD 1.53 Billion in 2023 and is projected to reach USD 5.55 Billion by 2031, growing at a CAGR of 17.50% during the forecast period 2024-2031.

Global Automotive Gesture Recognition Systems Market Drivers

The market drivers for the Automotive Gesture Recognition Systems Market can be influenced by various factors. These may include

  • Technological Developments in Human-Machine Interaction (HMI) HMI technology is always evolving, which makes it possible to create advanced gesture recognition systems for use in automobiles. The precision, dependability, and responsiveness of gesture recognition systems are improved by advancements in sensor technology, machine learning algorithms, and gesture detection algorithms.
  • Demand for Intuitive Vehicle Controls To improve the driving experience, consumers are looking for controls in their cars that are easy to use and intuitive. With the help of gesture recognition technology, drivers can use their hands to answer calls, change the volume of the audio, and do other duties that are traditionally performed with physical controls.
  • Put an emphasis on driver safety and distraction reduction To lessen the hazards connected with distracted driving, automakers and regulators give priority to driver safety and distraction reduction solutions. By allowing drivers to engage with car controls with their hands still on the wheel and their eyes still on the road, gesture recognition systems increase safety by minimising distractions.
  • Integration with Advanced Driver aid Systems (ADAS) To improve the usability and functionality of driver aid features, gesture recognition systems are combined with ADAS technology. To increase overall vehicle safety and convenience, drivers can, for instance, utilise hand gestures to manage parking assistance systems, adaptive cruise control, and lane departure warning systems.
  • Trend towards Autonomous and Connected Vehicles As these technologies gain traction, gesture recognition systems for the human-machine interface are becoming more and more common. In addition to voice commands and touchscreens, gesture controls give drivers and passengers another means to interact with the systems and services inside the vehicle.
  • Customer Preference for Innovative Features Automotive manufacturers integrate gesture recognition systems into their vehicles in response to consumer demand for cutting-edge features and technologies. The futuristic and high-tech user experience that gesture controls provide will appeal to tech-savvy customers and raise the vehicle’s perceived worth.
  • Trends in Customisation and Personalisation Based on user preferences, gesture recognition technologies allow for the customisation and personalisation of car settings and controls. Drivers can personalise profiles and set up gestures to carry out particular tasks, which improves ease and user experience overall.
  • Challenges Associated with Urbanisation and Congestion As cities become more populous, there is a greater need for efficient and user-friendly car controls that make it easier for drivers to manoeuvre through challenging driving conditions. By providing a hands-free, simple method of interacting with car systems, gesture recognition systems help drivers feel less stressed and enhance their comfort while driving.
  • Improved User Experience in Electric Vehicles (EVs) Automakers are concentrating on improving the EV user experience in order to draw in and keep EV customers as the market for EVs continues to expand. In addition to giving drivers easy-to-use controls over many vehicle functions, gesture recognition technologies enhance the contemporary and futuristic appearance of electric vehicles.
  • Partnerships and Collaboration Innovation and market expansion are fueled by partnerships between gesture recognition solution providers, technology businesses, and automakers. Collaborations facilitate the creation of comprehensive gesture identification systems that satisfy the distinct demands and specifications of automobile producers and owners.

Global Automotive Gesture Recognition Systems Market Restraints

Several factors can act as restraints or challenges for the Automotive Gesture Recognition Systems Market. These may include

  • High Implementation Cost Including hardware, software development, integration, testing, and other costs, putting gesture recognition systems in cars can get expensive. Car manufacturers may be discouraged from implementing gesture recognition technology by high initial costs, particularly in market sectors where affordability is a critical factor.
  • Complexity and Technical Challenges Overcoming technical obstacles such inconsistent ambient conditions, interference from other sensors, and precise gesture detection is necessary to develop dependable and accurate gesture recognition systems for automotive applications. Technical difficulties could raise the cost of research and development and postpone the release of new products.
  • User acceptability and Familiarity A number of criteria, including user experience, convenience of use, and familiarity with gesture-based interactions, influence consumer acceptability and adoption of gesture recognition systems in automobiles. Demand for gesture recognition features may be constrained by scepticism, discomfort, or reluctance to new technologies. These factors could also slow down market penetration.
  • Restricted Vocabulary of Gestures Most gesture recognition systems only provide a small list of predefined gestures or commands, which might not be sufficient for all situations or user preferences. The inability to recognise some gestures may irritate users and make them unhappy with how the system works.
  • Interference and False Positives A variety of environmental elements, including noise, vibrations, ambient illumination, and occlusions, might impede the accuracy and dependability of gesture recognition. User confidence and trust may be impacted by false positives or misinterpretations of gestures that result in unintentional actions or system faults.
  • Safety Concerns With the advent of new human-machine interaction technologies like gesture recognition, driver distraction is a major safety risk in car design. Inadequately planned or executed gesture controls have the potential to worsen driver distraction and cognitive burden, therefore jeopardising road safety.
  • Regulatory Compliance For gesture recognition systems to perform safely, they must adhere to safety standards and regulations, such as ISO 26262 for functional safety in automotive systems. Regulatory compliance could include more testing, validation, and documentation, which would complicate and increase the cost of product development.
  • Integration Difficulties Due to compatibility problems and interoperability requirements, integrating gesture recognition systems with current car interfaces, control systems, and infotainment platforms can be difficult. Customer satisfaction and market adoption depend on seamless integration with other car features.
  • Limited Market Awareness and Education It’s possible that customers, suppliers, and automakers have a limited knowledge and comprehension of gesture recognition technology. In order to highlight the advantages, functionalities, and applications of gesture recognition systems in automobiles, educational and demonstration initiatives are required.
  • Rival Technologies Voice recognition, touchscreens, physical buttons, steering wheel controls, and other human-machine interface technologies are competitors of gesture recognition. There is rivalry for market share since the choice of interface is influenced by variables like user preference, ergonomics, and driving context.

Global Automotive Gesture Recognition Systems Market Segmentation Analysis

The Global Automotive Gesture Recognition Systems Market is Segmented on the basis of Type of Gesture Recognition, Application, Vehicle Type, and Geography.

Automotive Gesture Recognition Systems Market, By Type of Gesture Recognition

  • Hand Gesture Recognition Recognition of hand movements and gestures made by the driver or passengers within the vehicle cabin.
  • Finger Gesture Recognition Recognition of specific finger movements or gestures, often used for controlling infotainment systems or navigation.
  • Facial Gesture Recognition Recognition of facial expressions or gestures, potentially used for driver monitoring or personalization features.

Automotive Gesture Recognition Systems Market, By Application

  • Infotainment System Control Gesture recognition for controlling audio, video, navigation, and other infotainment features within the vehicle.
  • Driver Assistance Gesture recognition for controlling driver assistance systems such as adaptive cruise control, lane departure warning, and parking assistance.
  • Interior Lighting Control Gesture recognition for adjusting interior lighting settings based on user preferences or environmental conditions.
  • Climate Control Gesture recognition for controlling temperature, airflow, and other climate control features within the vehicle cabin.
  • Other In-Car Functions Including gesture-based control of windows, sunroofs, seats, mirrors, and other vehicle functions.

Automotive Gesture Recognition Systems Market, By Vehicle Type

  • Passenger Cars Gesture recognition systems implemented in passenger vehicles, including sedans, SUVs, hatchbacks, and coupes.
  • Commercial Vehicles Gesture recognition systems implemented in commercial vehicles such as trucks, buses, and vans.
  • Electric Vehicles (EVs) and Autonomous Vehicles Gesture recognition systems integrated into electric and autonomous vehicles for enhanced user experience and control.

Automotive Gesture Recognition Systems Market, By Geography

  • North America Includes the United States and Canada, characterized by a strong automotive industry and high demand for advanced driver assistance systems and infotainment features.
  • Europe Includes countries such as Germany, the UK, France, Italy, and Spain, with a focus on automotive innovation and luxury vehicle markets.
  • Asia-Pacific Includes China, Japan, India, South Korea, and Australia, where rapid urbanization, increasing disposable income, and technological advancements drive market growth.
  • Latin America Includes Brazil, Mexico, and other countries in Central and South America, with a growing automotive market and increasing demand for advanced vehicle features.
  • Middle East and Africa Includes countries such as Saudi Arabia, UAE, South Africa, and others, where rising urbanization and infrastructure development contribute to market expansion.

Key Players

The major players in the Automotive Gesture Recognition Systems Market are

  • Continental AG
  • HARMAN International Industries
  • SoftKinetic
  • Synaptics Incorporated
  • Visteon Corp
  • NXP Semiconductors
  • Omek Interactive Ltd.
  • Qualcomm Inc.
  • eyeSight Technologies Ltd.
  • Cognitec Systems GmbH

Report Scope

REPORT ATTRIBUTESDETAILS
Study Period

2020-2031

Base Year

2023

Forecast Period

2024-2031

Historical Period

2020-2022

Unit

Value (USD Billion)

Key Companies Profiled

Continental AG, HARMAN International Industries, SoftKinetic, Synaptics Incorporated, Visteon Corp, Omek Interactive Ltd., Qualcomm Inc., eyeSight Technologies Ltd., Cognitec Systems GmbH.

Segments Covered

By Type of Gesture Recognition, By Application, By Vehicle Type, and Geography.

Customization scope

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