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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
It is commonly anticipated that the next-generation in-car user interface would incorporate gesture recognition technologies. If the driver has made recognizable hand or finger gestures in the designated area without touching a touchscreen, it will be determined using gesture recognition.
In a more advanced system, the driver can touch the steering wheel and tilt his head left or right to adjust the stereo's volume. Another example is that the in-car infotainment system can be activated by an approaching hand. Programed to look out for specific gestures is a camera mounted in the steering wheel or on the dashboard.
It alerts the CPU in charge of the associated infotainment devices when it notices them.The market for automotive gesture recognition systems is anticipated to expand as a result of factors including the incorporation of smart technology features into automobiles and the application of novel technologies for high-end user interfaces (UI).
The market's expansion is slowed down by the need for technology maintenance, upkeep, and troubleshooting, as well as a decline in car production and sales. On the other hand, getting into agreements and contracts with automobile OEMs for long-term business prospects and growth in developing countries are predicted to give attractive growth opportunities for the market players.
In addition, gesture recognition system technology is in its developing phase, thus, there is a limited number of resources with hands-on experience in latest and trending technologies to maintain or troubleshoot the system problems.
Moreover, not only automotive manufacturers, vendors, automotive & transportation industry players, but consumers also need to understand more about gesture recognition system features and maintenance, yet have little understanding of gesture recognition system maintenance and troubleshooting of that solution.
The Global automotive gesture recognition market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
According to the technology route, 3D cameras based on structured light, ToF, stereo imaging, radar based on millimeter wave, ultrasonics, and myoelectricity based on bioelectricity lead the way in gesture recognition technologies. The most popular path for automotive gesture recognition technology at this time is 3D camera-based gesture sensing.
Three-dimensional camera and control unit make up the technological route. The 3D camera, which consists of a camera, infrared LED, and sensor, records hand movements. Using appropriate image processing algorithms, it then recognizes the type of gestures and sends out the appropriate commands.
Structured light, ToF, and stereo vision are three categories under which 3D camera-based technologies can be categorized. With structured light technology, a person's body is illuminated with light that has been coded with information. An infrared sensor then gathers the reflected structural pattern, and a processor eventually creates a 3D model.
It is appropriate to close-range settings within a 10-metre radius and has the advantages of mature hardware, high recognition accuracy, and high resolution. As a structured light solution, Neta S's gesture recognition technology was released.With the aid of 3D images created by the underlying photosensitive components, ToF technology, or time-of-flight (ToF) based range, is made possible.
Within 5 meters, it can successfully and instantly gather depth data. It captures accurate depth of field information independent of the strength of the ambient light (such as sunshine), thanks to its applicability to a larger range of settings.ToF solutions are used in all of the gesture recognition systems that have been integrated into production vehicles like the BMW iX, Li Auto L9, and the newest ARC FOX'S HI Edition.
Gesture recognition sensors have been placed in both the front and back cabins of the Li Auto L9 to ensure that gestures are recognized and controlled by passengers. The sensor for the front cabin is situated above the interior rearview mirror, and the sensor for the back is located above the back entertainment screen.
The 3D geometric information of objects gathered from many photographs is what allows the parallax-based stereo imaging technique to function.The stereo imaging solution for gesture detection that the Mercedes-Benz EQS carries was first introduced. Currently, in-cabin gesture recognition systems do not make extensive use of technologies like millimetee wave radar, ultrasonics, or myoelectricity based on bioelectricity.
These technologies still have significant limits and provide some difficulties in comparison to traditional vision-based gesture recognition. The American division of Muniu Technology, Ainstein, and ADAC Automotive created the joint venture brand RADAC. Ainstein unveiled a system for recognizing vehicle gestures based on radar.
Users can unlock the door by swiping their hands left and right thanks to the gesture recognition sensor that is located on top of the tailboard in this solution.On display at the Geneva International Motor Show was DS' Aero Sport Lounge concept automobile.
This vehicle can recognize and comprehend every motion performed by passengers thanks to the integration of Leap Motion and Ultrahaptics technologies, and it can also respond to those gestures by emitting stereo ultrasonic waves through the microspeaker, which provides haptic feedback.
The MYO wristband, a wearable gadget that makes use of myoelectricity technology, was unveiled by Thalmic Labs, a Canadian business devoted to creating smart gesture control solutions.
The eight built-in myoelectric sensors on the armband capture the electrical activity of the arm muscles and use this information to analyze and identify various hand motions. Users of the application can use MYO's Bluetooth connection to control drones, laptops, smartphones, and other electronic devices. Currently, there are no use cases involving vehicles.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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