Global Automotive Gesture Recognition Market Analysis, Trend, Size, Share, and Forecast 2017 – 2022

A fresh study, covering “Automotive Gesture Recognition Market Forecast, Trend Analysis & Competition Tracking – Global Review 2017 to 2022” has been broadcasted to wide online repository of Fact MR, which presents deep focus on the automotive market. This smart study contains precise data that offers a clear insight about market current scenario and future projections for the benefit of readers. Moreover, the study enclosed significant data which tends to make the research a powerful source for analysts and industry experts who are looking to gain necessary knowledge about the prevailing market trends, opportunities and drivers present in the Automotive Gesture Recognition market.

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Fact.MR’s report on the global automotive gesture recognition market offers key insights on how adoption of automotive gesture recognition will gain vigorous momentum during the forecast period, 2017-2022. In 2017, the global automotive gesture recognition market is pegged to reach a value of US$ 1.19 Bn. With rising inclination towards touchless operability solutions, the global automotive gesture recognition market is anticipated to bring in revenues worth over US$ 4.2 Bn, reflecting a soaring CAGR by the end of 2022.

Demand for Touch-based Gesture Recognition Systems to Gain Traction

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.

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.

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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
2.4.7. Adoption of New Mobility Solutions. 39
2.4.8. Focus on Granular Insights – City-wise Analysis will Replace Region-wise Analysis. 39
2.4.9. Rising Complexity Influencing Greater Emphasis on Platformimg. 40
2.4.10. Innovations in Technology. 40
2.5. Supply Chain. 40
2.6. Cost Structure. 41
2.7. Pricing Analysis. 41
2.8. Raw Material Sourcing Strategy and Analysis. 41
2.9. List of Distributors. 41
2.10. Key Participants Market Presence (Intensity Map) By Region. 42
2.11. Competitive Assessment and Technology Trends in Future. 42

Continued…..

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