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Automotive Gesture Recognition System Market: Current Analysis and Forecast (2021-2027)

Region:Global

Author(s):

Product Code:UMAU21640

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Published on

January 2022

Total pages

215

Table of Content

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About the Report

About the Report

With features like emergency braking, lane monitoring, a gesture recognition system, and stability controls, high-end driver assistance technologies have made driving easier. As a result, the incorporation of such driver assistance technologies into next-generation automobiles is likely to stimulate demand for gesture recognition systems, which will improve driver safety. As a result, the market for automobile gesture recognition systems is growing. In the automobile gesture recognition industry, disruptive ideas are being developed that focus on minimizing driver distraction while also improving the driver's comfort and control at a low cost. In the future years, such innovations are anticipated to have an impact on the growth trajectory of the automotive gesture recognition market. Automakers are actively involved in methods to install many safety systems in vehicles that provide safety without compromising the interior design of automobiles, in order to correspond with increased knowledge about driver safety and growing customer demand for safety features.

Based on component type, the market is segmented into Touch Based Systems and Touchless Systems. The Touchless Systems segment generated revenue of USD XX million in 2020 and is expected to grow at a CAGR XX% during the forecasted period. By component type, the touchless system sector is expected to develop at the quickest rate throughout the projection period. This is due to factors such as improved user experience in touchless gesture recognition systems' different applications and driving comfort.

Based on authentication type, the market is segmented into Hand/Fingerprint/Leg, Face, Vision/IRIS and Others. The Hand/Fingerprint/Leg segment generated revenue of USD XX million in 2020 and is expected to grow at a CAGR XX% during the forecasted period. By authentication type, the Hand/ Fingerprint/ Leg authentication type is expected to have the greatest market size. The expansion of the visual interface market is being fueled by factors such as technical advancements and enhanced safety standards.

Based on sales application, the market is segmented into Multimedia/Infotainment/Navigation, Lighting Systems and Others. The Multimedia/Infotainment/Navigation segment generated revenue of USD XX million in 2020 and is expected to grow at a CAGR XX% during the forecasted period. During the projected period, the multimedia/infotainment/navigation category is expected to increase at the quickest rate. With the growing focus on lowering driver distraction concerns, most gesture recognition system makers and OEMs are concentrating on improving the user experience when operating these infotainment or navigation systems, as well as delivering convenience and comfort to the driver.

For a better understanding of the market adoption of Automotive Gesture Recognition System, the market is analyzed based on its worldwide presence in the countries such as North America (United States, Canada, Rest of North America), Europe (Germany, UK, France, Spain, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Rest of APAC), and Rest of World.

Some of the major players operating in the market include Synaptics Incorporated, Continental AG, Visteon Corp, NXP Semiconductors, Qualcomm Inc., Cognitec Systems GmbH, Cipia Vision Ltd, Samsung Electronics Co., Ltd., Sony Corporation, Neonode Inc.

Products


Companies

Synaptics Incorporated, Continental AG, Visteon Corp, NXP Semiconductors, Qualcomm Inc., Cognitec Systems GmbH, Cipia Vision Ltd, Samsung Electronics Co., Ltd., Sony Corporation, Neonode Inc

Table of Contents

Table of Contents

1 MARKET INTRODUCTION

1.1. Market Definitions

1.2. Limitation

1.3. Stake Holders

1.4. Currency used in Report

2 RESEARCH METHODOLOGY OR ASSUMPTION

2.1. Research Process of the Automotive Gesture Recognition System Market

2.2. Research Methodology of the Automotive Gesture Recognition System Market

2.3. Forecasting Method

2.4. Respondent Profile

2.5. Main Objective of the Automotive Gesture Recognition System Market Study

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET COVID-19 IMPACT

6 AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET REVENUE, 2019-2027F

7 MARKET INSIGHTS BY COMPONENT TYPE

7.1. Touch Based Systems

7.2. Touchless Systems

8 MARKET INSIGHTS BY AUTHENTICATION TYPE

8.1. Hand/Fingerprint/Leg

8.2. Face

8.3. Vision/IRIS

8.4. Others

9 MARKET INSIGHTS BY APPLICATION

9.1. Multimedia/Infotainment/Navigation

9.2. Lighting Systems

9.3. Others

10 MARKET INSIGHTS BY REGION

10.1. NORTH AMERICA AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET

10.1.1. United States

10.1.2. Canada

10.1.3. Rest of North America

10.2. EUROPE AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET

10.2.1. Germany

10.2.2. France

10.2.3. United Kingdom

10.2.4. Spain

10.2.5. Rest of Europe

10.3. ASIA-PACIFIC AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET

10.3.1. China

10.3.2. Japan

10.3.3. India

10.3.4. South Korea

10.3.5. Rest of Asia Pacific

10.4. REST OF WORLD AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET

11 AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET DYNAMICS

11.1. Market Drivers

11.2. Market Challenges

11.3. Impact Analysis

12 AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET OPPORTUNITIES

13 AUTOMOTIVE GESTURE RECOGNITION SYSTEM MARKET TRENDS

14 EMISSION AND FUEL ECONOMY REGULATIONS

15 DEMAND AND SUPPLY SIDE ANALYSIS

15.1. Demand Side Analysis

15.2. Supply Side Analysis

16 VALUE CHAIN ANALYSIS

17 COMPETITIVE SCENARIO

17.1. COMPETITIVE LANDSCAPE

17.1.1. Company Shares, By Revenue

18 COMPANY PROFILED

18.1. Synaptics Incorporated

18.2. Continental AG

18.3. Visteon Corp

18.4. NXP Semiconductors

18.5. Qualcomm Inc.

18.6. Cognitec Systems GmbH

18.7. Cipia Vision Ltd

18.8. Samsung Electronics Co., Ltd.

18.9. Sony Corporation

18.10. Neonode Inc

19 DISCLAIMER

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