Automotive Gesture Recognition Market: Industry Analysis and Forecast (2024-2030) Trends, Statistics, Dynamics, Segmentation by Type, Application and Region

Automotive Gesture Recognition Market Overview:

The Automotive Gesture Recognition Market was valued at USD 4.84 billion in 2023, and is predicted to grow at a CAGR of 27.70 percent to USD 26.82 billion by 2030. 

 

The Automotive Gesture Recognition Market is studied by segments like Type (hand recognition/fingerprint recognition/palm recognition/leg recognition, facial recognition, vision/iris recognition, and others), Application (navigation/multimedia/infotainment systems, lighting systems, and others) and Region (North America, Europe, Asia-Pacific, and Rest of the World). The report consists of the Trend, Forecast, Competitive Analysis, and Growth Opportunities of the market.

 

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For the forecast period of 2024 to 2030, the report provides a complete analysis that reflects today's Automotive Gesture Recognition Market realities and future market prospects. To provide a comprehensive perspective of the market, the research segments and analyses it in great detail. The key data and observations offered in the study can help market participants and investors identify low-hanging fruit in the market and build growth strategies.

 

COVID-19 Impact on Automotive Gesture Recognition Market

The overall automotive industry suffered significant financial losses and significant uncertainty in business operations during COVID-19, as the majority of the governments restricted international travel to control the virus's spread. Due to negative demand and supply forecast, from COVID-19 crisis constraints, and supply chain interruptions, 2021 was a considerable negative performance year for the automotive gesture recognition market. Short-term budget cuts, extended equipment lifecycles, smaller staff sizes, and lower compensation are among the strategies used by market participants in the automotive gesture recognition market to manage operations.

 

Automotive Gesture Recognition Market Dynamics:

Touchless systems gain momentum

 

The dominance of touch-based gesture recognition recognition systems in the automobile gesture recognition market, despite a strong preference for touch-based technology among end users.  While touch-based gesture recognition acquired over 80% of worldwide market share in 2021, touchless technologies have entered the market with significantly increased customer confidence and are projected to have a positive market outlook during the projection period and beyond. In comparison to touch-based systems, however, the implementation of touchless automotive gesture recognition in simpler operations increases complexity and is expected to face the obstacle of limited adoption.

 

Increased adoption of functional safety technologies

 

Auto manufacturers are actively involved in ways to install many safety features in automobiles that provide safety without compromising the interior design of automobiles, in order to match with increased knowledge about driver safety and increasing customer demand for safety features.

 

The use of sensor-based electronic gadgets in automobiles has increased in the last decade as a result of technical improvements. In a similar manner, the HMI or human-machine interface in the form of gesture recognition is becoming more common in autos.

 

Furthermore, as government rules for driver safety become stricter, the trend of installing functional safety systems has increased, which is projected to drive the growth of the automotive gesture recognition market to new heights in the future years.

 

Opportunity of growing trend of Electric Vehicles and autonomous driving

 

The automobile industry's electrification has resulted in the introduction of autonomous and electric vehicles, which are the largest consumers of electronic gadgets. Autonomous vehicles, particularly, are the pinnacle of electronic device operations, as they are guided by sensors and are helping systems with minimal human participation. The growing number of electrified and driverless automobiles is likely to include sensor-based automotive gesture recognition technologies.

The expanding relevance of driver safety, as well as the automotive industry's ongoing electrification, are expected to open up new potential for the automotive gesture recognition market.

 

Restraints

 

Integration of high-end technology on vehicles, such as a gesture recognition system, has resulted in computer-like sophisticated high-end technical features. The use of digital technology in the automotive industry has improved operating efficiency, performance, and convenience. Failures of gesture recognition systems, on the other hand, pose a significant barrier for automotive market participants. These technologies are improving car capabilities and features, but they are posing development hurdles for automakers. Furthermore, because gesture recognition market is still in its early stages, there are a limited amount of resources with hands-on experience in the most recent and current technologies available to maintain or debug system issues.

 

Furthermore, not only automotive manufacturers, vendors, and other players in the automotive and transportation industries, but also consumers, need to learn more about gesture recognition features and maintenance. They have limited knowledge of gesture recognition maintenance and troubleshooting. As a result, constraints such as a scarcity of trained workers, expertise and automotive gesture recognition system engineers, are limiting the market's growth.

 

Automotive Gesture Recognition Market Segment Analysis:

Based on Type, the Automotive Gesture Recognition Market is classified into hand recognition/fingerprint recognition/palm recognition/leg recognition, facial recognition, vision/iris recognition, and others. There have been significant developments in passenger automobiles over the years, in response to the continuously changing consumer needs. One such element is the vehicle's biometric security system, which improves vehicle security. The hand recognition/fingerprint recognition/palm recognition/leg recognition sub-segment is expected to gain the most traction and increase steadily during the forecast period, owing to the huge number of technological breakthroughs in the market.

 

 

Based on Application, the Automotive Gesture Recognition Market is classified into navigation/multimedia/infotainment systems, lighting systems, and others. During the forecast period, navigation/multimedia/infotainment systems are expected to lead the market among these applications. Since a substantial portion of automotive gesture recognition systems are utilised for infotainment purposes, such as playing music and scanning radio channels, they have a bigger market share than other applications. Consumers also want navigation, which drives up demand.

 

Automotive Gesture Recognition Market Regional Analysis:

North America is expected to lead globally when it comes to the consumer demands. The market in the region has included some of the most modern vehicle automation technology and has a high rate of technical adoption. The presence of numerous well-established car manufacturers like Tesla offering high-end vehicle models with improved automotive gesture recognition systems is expected to fuel market expansion in this area.

 

Due to the sheer existence of the world's most well-known automotive manufacturers, the market in Europe is expected to increase significantly, owing to the high demand for gesture recognition systems. Many passenger automobiles and buses in Europe, for example, are outfitted with this technology, which greatly improves driver and vehicle safety. In 2016, BMW announced the development of AirTouch, a gesture control-based UI that uses sensors installed in the vehicle's dash near the main infotainment display to analyse 3D hand movements, allowing drivers to interact with the infotainment system while not touching the screen.

 

In the Asia Pacific region, there is a growing demand for cars, which can be linked to increased disposable income and an increasing demand for cars with high-end amenities. Automobile manufacturers in China and India are expected to have a high growth in the automotive gesture recognition market as they strive to adapt their vehicles to global standards. Furthermore, rising government programs aimed at encouraging the use of electric vehicles are expected to help the market's growth in the Asia-Pacific region.

 

To understand the Automotive Gesture Recognition industry and study the market trends.

Focusing on the type of Automotive Gesture Recognition market, knowing the drivers and challenges of the same. Understanding the market segment geographically to gauge the growth potential.

 

The report includes analytical models like the Porter’s Five Forces, which helps in understanding the operating environment of the competition in the Automotive Gesture Recognition Market and thereby study the stakeholders to derive an efficient strategy; and PESTLE Analysis to gain a macro perspective of the Automotive Gesture Recognition Industry in terms of political aspects like Government stability, policies, trade regulation and economic aspects like market trends, taxes and inflation. It also provides the effect of environmental factors and influence of social and legal aspects on the Automotive Gesture Recognition Market.

 

Automotive Gesture Recognition Market Scope:

 

Automotive Gesture Recognition Market		Market Segmentation
Market Indicators:	Details	by Type	Hand recognition/fingerprint recognition/palm recognition/leg recognition Facial recognition Vision/iris recognition Others
Historical Data:	2018-2022	by Application	Navigation/multimedia/infotainment systems Lighting systems Others
Forecast Period:	2024-2030	by Region	North America Europe Asia Pacific Middle East and Africa South America
Base Year:	2023
CAGR:	27.70%
Market Size in 2021:	USD 4.84 Bn.
Market size in 2027:	USD 26.82 Bn.

 

Automotive Gesture Recognition Market Key Players:

• Cognitec Systems GmbH (Germany)
• Cipia Vision Ltd. (Israel)
• Continental AG (Germany)
• Samsung Electronics Co., Ltd (South Korea)
• Eyesight Technologies Ltd. (Israel)
• Sony Corporation (Japan)
• Harman International Industries, Inc. (USA)
• Usens Inc (USA)
• NXP Semiconductors N.V. (Netherlands)
• Qualcomm Inc. (USA)
• Omek Interactive Ltd. (Israel)
• Softkinetic Inc. (Belgium)
• Synaptics Incorporated (USA)
• Aptiv (Ireland)
• Visteon Corp. (USA)