Gesture Recognition Market: Analysis Report on Global Automotive Gesture Recognition Market Booming Trends and Forecast Assessment for the Period 2017 – 2022

The automotive industry has witnessed emergence of a plethora of products that were developed to meet the stringent driver safety regulations. Gesture recognition systems are among such products that have enhanced the operability of automobile drivers. Automotive Gesture Recognition Systems are gaining lucrative application in futuristic automobile offerings which include – autonomous/self-driving cars and EVs. However, developers of automotive gesture recognition systems are working towards lowering the costs of integrating these systems in existing electronic circuits of vehicles. The universal penchant for “touchless” engagement with the electronic features of a vehicle is making gesture recognition a key purchasing criteria among car buyers.

Automotive gesture recognition systems are computing devices integrated in a vehicles electronic features that use algorithms to interpret motion of the driver. These systems allow the driver to use electronic amenities without direct physical contact. Eye tracking, facial recognition, voice recognition, and lip movement analysis are known as perceptual user interfaces that collectively form gesture recognition system in automobiles.

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While developers of automotive gesture recognition systems are aiming to reduce the need of physical contact in in-car operations, the report distinctly highlights the demand for touch-based products. Considering this contradiction, the report emphasizes that drivers will be more inclined towards touch-based automotive gesture recognition systems as adopting touchless sensing technologies in simple operations will be more complex for the entire driving community. Between 2017 and 2022, the global revenues amassed from sales of touch-based automotive gesture recognition products are likely to showcase an increment of US$ 2.7 Bn. In 2017, touchless products are likely to account for a little over 18% of the market. Adoption of touchless products is, thus, expected to be lower than that of touch-based automotive gesture recognition systems.

Multimedia, Infotainment & Navigation – Key Application of Automotive Gesture Recognition

Infotainment is likely to be the best-suited application for automotive gesture recognition systems. Through voice recognition, drivers can effortlessly change songs, videos, radio channels and other media, and boost their in-car entertainment quotient. Navigation is also observed as a lucrative application for automotive gesture recognition systems as a simple hand gesture will help car turn on the side indicators.

The report highlights that over three-fourth of global automotive gesture recognition system sales by the end of 2017 will be accounted by their application in multimedia, infotainment or navigation. Collectively, these application segments will gain 181 BPS by 2022 over 2017, registering US$ 2.5 Bn incremental opportunity over the forecast period.

Manufacturers are focusing towards improvement of key recognition technologies

The report explores the growth of global automotive gesture recognition market across recognition technologies. Developers of automotive gesture recognition systems are expected to focus on upgrading the existing gesture recognition technologies by adopting advanced sensors. However, with such advancements, automotive gesture recognition systems will come with high initial costs. Manufacturers of automobiles will be opting for affordable options, limiting the deployment of technological advancements in automotive gesture recognition systems.

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Manufacturers of commercial vehicles are less likely to promote the use of automotive gesture recognition systems, primarily due to higher proximity of these vehicles in public utilities. With passenger cars, automotive gesture recognition systems can profile the driver’s identity, and are not stressed with multiple gesture recognitions. Moreover, consumers interested in passenger cars will opt for highly-advanced variants to uplift their driving experience, and automotive gesture recognition systems are expected to befit such needs. The report estimates that through 2022, revenues amassed from sales of automotive gesture recognition systems in passenger cars will soar at a robust pace, reflecting an exponential value CAGR. The segment will also showcase highest gain of 364 BPS by 2022 over 2017, indicating that automotive gesture recognition systems are meant to facilitate the operability needs of passenger car drivers.

Competition Tracking

The report has also profiled leading manufacturers of automotive gesture recognition systems, observing their active participation in the expansion of global market. These companies include Cognitec Systems GmbH, Eyesight Technologies, Harman International, NXP Semiconductors, Gestigon GmbH, Qualcomm technologies Inc., Synaptics Incorporated, Continental AG, Softkinetic, and Visteon Corporation.

Table of Contents

Chapter 1. Global Automotive Gesture Recognition System Market - Executive Summary. 32

Chapter 2. Global Automotive Gesture Recognition System Market Overview. 33

2.1. Introduction. 34

       2.1.1. Global Automotive Gesture Recognition System Market Taxonomy. 34

       2.1.2. Global Automotive Gesture Recognition System Market Definition. 34

2.2. Global Automotive Gesture Recognition System Market Size (US$ Mn) and Forecast, 2012-2022. 35

       2.2.1. Global Automotive Gesture Recognition System Market Y-o-Y Growth. 35

2.3. Global Automotive Gesture Recognition Market: Macroeconomic Factors. 35

       2.3.1. Economic Outlook. 35

       2.3.2. International Policy. 36

       2.3.3. Profitability of Enterprises. 36

       2.3.4. Increasing Purchasing Power of Middle Class. 36

       2.3.5. Complex Eco System. 36

       2.3.6. Supply chain Issues. 37

       2.3.7. End-user Sentiment. 37

2.4. Global Automotive Gesture Recognition Market impact factors. 37

       2.4.1. Autonomous Vehicles. 37

       2.4.2. The Influence of China. 37

       2.4.3. Disruption in Traditional Business Models. 38

       2.4.4. Rising Component Costs in Developing Countries. 38

       2.4.5. Fluctuating Input costs. 38

       2.4.6. Shrinking Product Development Time. 39

Continued………………

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