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The rising implementation of HMI technologies in the automotive industry is notably driving market growth. Vehicle manufacturers are increasingly implementing HMI technologies in their vehicles, especially in connected and autonomous models. One of the major reasons behind this evolution is the need to improve safety while driving and to reduce fatalities due to vehicular accidents. In addition, the requirement for convenience and comfort has improved automotive infotainment systems from being conventional audio players to touchscreen-based infotainment systems.
To enhance driving safety, voice recognition technology has been integrated into automotive infotainment systems by vehicle manufacturers. Voice recognition technology for in-car infotainment systems is widely accepted across every segment of vehicles. This has compelled luxury vehicle manufacturers to offer innovative technologies for controlling in-car infotainment systems as product differentiators. Gesture recognition is one such technology. Hence, such factors are expected to drive the growth of the global market during the forecast period.
Increasing priority for ToF cameras for gesture recognition is an emerging trend in the market. Gesture recognition software can be integrated with sensors and any type of camera in electronic devices to detect air gestures. The need for more accurate gesture control and the introduction of facial recognition features in electronic devices such as laptops and smartphones have compelled electronic device manufacturers to implement 3D cameras into their products. For instance, Apple Inc. has implemented 3D depth-sensing cameras for its smartphones and tablets. There are different types of 3D depth-sensing cameras, such as structured light cameras, active stereo cameras, and ToF cameras. 3D cameras used in laptops and smartphones are either structured light cameras or stereo cameras that consume more power, resulting in fast battery discharge. Therefore, to overcome this drawback, ToF cameras are being used in smartphones.
ToF cameras emit IR light signals for devices and measure the time required for light signals to reflect. This measurement allows ToF cameras to analyze the depth of the image by differentiating between the light reflected from different parts of the body. Unlike other types of 3D cameras, which use dot projectors as a source of depth sensing, ToF cameras use laser sources for depth sensing. Therefore, they consume less power than other types of 3D cameras. Therefore, such factors will drive the growth of the market during the forecast period.
The limited accuracy in recognizing motion gestures is a major challenge impeding market growth. The lack of standardized gestures and movements is one of the major reasons for the occurrences of accuracy errors with respect to capturing motion gestures. Gesture recognition-enabled devices such as smart TVs, gaming consoles, and laptops require users to move their hands, eyes, or legs to initiate the necessary action. For instance, in an automotive infotainment system, which is enabled with gesture recognition technology, the user can move his or her palms right to left or left to right to switch songs. However, a subtle movement of the individual's hand can activate a function that the user did not intend. Such factors are expected to hinder the growth of the global market during the forecast period.
Another reason for the lack of accuracy is computational issues, which occur due to lighting conditions. Poor lighting conditions cause difficulty in distinguishing between the foreground and background features, resulting in the inaccurate detection of hand and other body movements. The lack of accuracy in recognizing motion gestures is decreasing the adoption rate of gesture recognition technology by electronic device manufacturers. This factor is expected to challenge the growth of the global market during the forecast period.
The market forecasting report includes the adoption lifecycle of the market research and growth, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth and trends strategies.
Global Market Customer Landscape
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD Million" for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
Touch Screen Market: Touch Screen Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, India, Germany - Size and Forecast
Touch Controller IC Market: Touch Controller IC Market Analysis APAC, North America, Europe, Middle East and Africa, South America - US, China, South Korea, Taiwan, Germany - Size and Forecast
Automotive Touch Screen Control Systems Market: Automotive Touch Screen Control Systems Market Analysis APAC, Europe, North America, South America, Middle East and Africa - China, US, Japan, India, Germany - Size and Forecast
The market is revolutionizing Human-Computer Interaction (HCI) and Human-Machine Interaction (HMI) with 2D gesture recognition technology and 3D gesture recognition technology. Utilizing 3D vision technologies and advanced technologies, this market is expanding across various sectors including airports, commercial spaces, healthcare spaces, and public transportation systems. Leading vendors are enhancing hardware capabilities with display capacitive sensors, image sensors, Embedded systems, and ultrasonic sensors, while software algorithms and machine learning algorithms drive the functionality. Applications range from driver safety in luxury cars to medical rehabilitation and in-vehicle infotainment (IVI) systems. The market addresses security concerns with touchless multifactor authentication and offers touchless capability in retail stores and hospitals, ensuring seamless touchless interaction and proximity detection without physical contact.
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Market Scope |
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Report Coverage |
Details |
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Page number |
181 |
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Base year |
2023 |
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Historic period |
2018 - 2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 37.91% |
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Market growth 2024-2028 |
USD 73.44 billion |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
28.4 |
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Regional analysis |
APAC, North America, Europe, Middle East and Africa, and South America |
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Performing market contribution |
APAC at 50% |
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Key countries |
US, China, Japan, Germany, and South Korea |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
Alphabet Inc., Apple Inc., Cipia Vision Ltd., Elliptic Laboratories AS, ESPROS Photonics Corp., GestureTek technologies, Infineon Technologies AG, Intel Corp., IrisGuard Ltd., Jabil Inc., Microchip Technology Inc., NVIDIA Corp., OMRON Corp., Qualcomm Inc., Sony Group Corp., STMicroelectronics International N.V., Synaptics Inc., Texas Instruments Inc., Ultraleap Ltd., and Vishay Intertechnology Inc. |
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Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period |
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Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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The gesture recognition solution market size is projected to increase by USD 73.44 billion at a CAGR of 37.91% between 2023 and 2028. The growth of the market depends on several factors, including the development of processors that support gesture recognition, the increasing adoption of human-machine interface (HMI) technologies in the automotive industry, and advancements in machine vision technologies. The development of sophisticated processors enhances the accuracy and responsiveness of gesture recognition systems, making them more reliable and user-friendly. The automotive industry's growing adoption of HMI technologies improves driver and passenger interaction with vehicles, promoting safety and convenience. Additionally, progress in machine vision technologies contributes to more robust and efficient gesture recognition systems, further driving their integration into modern vehicles. These factors collectively propel the growth of the automotive gesture recognition systems market.
The market growth and forecasting report includes key player's detailed analyses of the competitive landscape of the market and information about key companies, including Alphabet Inc., Apple Inc., Cipia Vision Ltd., Elliptic Laboratories AS, ESPROS Photonics Corp., GestureTek technologies, Infineon Technologies AG, Intel Corp., IrisGuard Ltd., Jabil Inc., Microchip Technology Inc., NVIDIA Corp., OMRON Corp., Qualcomm Inc., Sony Group Corp., STMicroelectronics International N.V., Synaptics Inc., Texas Instruments Inc., Ultraleap Ltd., and Vishay Intertechnology Inc.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Technology
7 Market Segmentation by Application
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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