Global Gesture Recognition in Automotive 麻豆原创 Research Report 2023

Publication ID:

PB502234209

Publication Date:

February 7, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Internet [2]

Computing & Electronics [3]

Description:

Gesture recognition is the ability of a device to identify and respond to different gestures, such as movement of hands, fingers, arms, head, or the entire body, of an individual.
Highlights
The global Gesture Recognition in Automotive market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Driver safety regulations by various governments have boosted the adoption of automotive gesture recognition systems due to provision of benefits such as improved maneuvering control, compatibility of vehicle鈥檚 electronic systems and drivability. However, high cost of integration and complexity may limit their adoption, hampering the automotive gesture recognition market growth. Manufacturers are investing heavily for upgrading the existing gesture recognition technology with advanced sensors, resulting in increased costs, further posing a threat to the industry growth.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Gesture Recognition in Automotive, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Gesture Recognition in Automotive.
The Gesture Recognition in Automotive market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Gesture Recognition in Automotive market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Gesture Recognition in Automotive companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Cognivue
Harman
Microsoft
Softkinetic
Segment by Type
Touch Based Systems
Touchless Systems
Segment by Application
Multimedia/Navigation/Infotainment
Door/Window
Sunroof
AC Blower
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Gesture Recognition in Automotive companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Gesture Recognition in Automotive 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Touch Based Systems
1.2.3 Touchless Systems
1.3 麻豆原创 by Application
1.3.1 Global Gesture Recognition in Automotive 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Multimedia/Navigation/Infotainment
1.3.3 Door/Window
1.3.4 Sunroof
1.3.5 AC Blower
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Gesture Recognition in Automotive 麻豆原创 Perspective (2018-2029)
2.2 Gesture Recognition in Automotive Growth Trends by Region
2.2.1 Global Gesture Recognition in Automotive 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Gesture Recognition in Automotive Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Gesture Recognition in Automotive Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Gesture Recognition in Automotive 麻豆原创 Dynamics
2.3.1 Gesture Recognition in Automotive Industry Trends
2.3.2 Gesture Recognition in Automotive 麻豆原创 Drivers
2.3.3 Gesture Recognition in Automotive 麻豆原创 Challenges
2.3.4 Gesture Recognition in Automotive 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Gesture Recognition in Automotive Players by Revenue
3.1.1 Global Top Gesture Recognition in Automotive Players by Revenue (2018-2023)
3.1.2 Global Gesture Recognition in Automotive Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Gesture Recognition in Automotive 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Gesture Recognition in Automotive Revenue
3.4 Global Gesture Recognition in Automotive 麻豆原创 Concentration Ratio
3.4.1 Global Gesture Recognition in Automotive 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Gesture Recognition in Automotive Revenue in 2022
3.5 Gesture Recognition in Automotive Key Players Head office and Area Served
3.6 Key Players Gesture Recognition in Automotive Product Solution and Service
3.7 Date of Enter into Gesture Recognition in Automotive 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Gesture Recognition in Automotive Breakdown Data by Type
4.1 Global Gesture Recognition in Automotive Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Gesture Recognition in Automotive Forecasted 麻豆原创 Size by Type (2024-2029)
5 Gesture Recognition in Automotive Breakdown Data by Application
5.1 Global Gesture Recognition in Automotive Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Gesture Recognition in Automotive Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Gesture Recognition in Automotive 麻豆原创 Size (2018-2029)
6.2 North America Gesture Recognition in Automotive 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Gesture Recognition in Automotive 麻豆原创 Size by Country (2018-2023)
6.4 North America Gesture Recognition in Automotive 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Gesture Recognition in Automotive 麻豆原创 Size (2018-2029)
7.2 Europe Gesture Recognition in Automotive 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Gesture Recognition in Automotive 麻豆原创 Size by Country (2018-2023)
7.4 Europe Gesture Recognition in Automotive 麻豆原创 Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Gesture Recognition in Automotive 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Gesture Recognition in Automotive 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Gesture Recognition in Automotive 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Gesture Recognition in Automotive 麻豆原创 Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Gesture Recognition in Automotive 麻豆原创 Size (2018-2029)
9.2 Latin America Gesture Recognition in Automotive 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Gesture Recognition in Automotive 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Gesture Recognition in Automotive 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Gesture Recognition in Automotive 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Gesture Recognition in Automotive 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Gesture Recognition in Automotive 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Gesture Recognition in Automotive 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Cognivue
11.1.1 Cognivue Company Detail
11.1.2 Cognivue Business Overview
11.1.3 Cognivue Gesture Recognition in Automotive Introduction
11.1.4 Cognivue Revenue in Gesture Recognition in Automotive Business (2018-2023)
11.1.5 Cognivue Recent Development
11.2 Harman
11.2.1 Harman Company Detail
11.2.2 Harman Business Overview
11.2.3 Harman Gesture Recognition in Automotive Introduction
11.2.4 Harman Revenue in Gesture Recognition in Automotive Business (2018-2023)
11.2.5 Harman Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Gesture Recognition in Automotive Introduction
11.3.4 Microsoft Revenue in Gesture Recognition in Automotive Business (2018-2023)
11.3.5 Microsoft Recent Development
11.4 Softkinetic
11.4.1 Softkinetic Company Detail
11.4.2 Softkinetic Business Overview
11.4.3 Softkinetic Gesture Recognition in Automotive Introduction
11.4.4 Softkinetic Revenue in Gesture Recognition in Automotive Business (2018-2023)
11.4.5 Softkinetic Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Cognivue
Harman
Microsoft
Softkinetic

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