Market Overview:
The global gesture recognition for mobile devices market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The increasing demand for smartphones, tablets, and portable PCs are the major factors driving the growth of this market. Additionally, the growing trend of using gesture recognition in various applications such as gaming, healthcare, automotive etc., is also propelling the growth of this market. However, high installation cost and lack of awareness about gesture recognition technology are some factors restraining the growth of this market. On basis on type, 2D gesture recognition held a dominant position in 2017 and is expected to maintain its dominance during forecast period 2018-2030 owing to its low installation cost as compared to 3D Gesture Recognition technology.
Product Definition:
Gesture recognition is the process of recognizing specific gestures made by a person and translating them into computer-readable instructions. Gesture recognition is important for mobile devices because it allows users to interact with their devices using natural movements, without having to learn specific commands or use an on-screen keyboard. Gesture recognition can also be used to control certain features of the device, such as playing music or changing the volume.
2D Gesture Recognition:
2D gesture recognition is the ability of an electronic device or software to recognize and analyze human gestures. The technology has been around for quite some time; however, it has gained popularity in recent years due to its use in consumer electronics such as smartphones and tablets. 2D gesture recognition enables users to control devices with their hands by making various movements using their fingers, hands, arms, etc.
3D Gesture Recognition:
3D gesture recognition is the ability of an electronic device to recognize human gestures. The technology has been around for quite some time, but only recently has it started gaining widespread acceptance. 3D gesture recognition in the mobile devices market is still in its nascent stage and holds a lot of promise for providing users with a more intuitive interface when compared to traditional touch screen interfaces.
Global 3D Gesture Recognition.
Application Insights:
The smartphones segment dominated the global gesture recognition for mobile devices market, accounting for a revenue share of over 60% in 2017. The high adoption rate of smartphones has led to an increase in the number of applications that require access to device resources such as camera and microphone. Gesture recognition technology can be used to enhance user experience by reducing the load on device resources and providing enhanced functionality through various features such as tap-to-zoom, touch screen navigation, etc. Furthermore, companies are investing heavily in research & development activities with a view toward enhancing their product offerings for smartphones. For instance, Baidu Inc., one of America's largest search engine providers is working on developing natural language processing capabilities into its voice assistant software application platform which will enable users to commandeer their devices more intuitively via voice commands instead of using traditional keyboards or touch screens. Such initiatives are expected to drive demand over the forecast period thereby contributing significantly toward market growth during the study period.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to retain its dominance over the forecast period as well, owing to increasing adoption of smartphones, high usage frequency of gesture recognition applications and growing popularity of social media. Asia Pacific is anticipated to be the fastest-growing regional market from 2018 to 2030 due to increasing smartphone penetration and rising demand for consumer electronics with advanced features. Moreover, improving internet connectivity enables users in this region use apps that work on gesture recognition technology platform – such as Uber or AirBnB’s app without typing any address or contact details.
Growth Factors:
- Increasing demand for gesture recognition in smartphones and tablets
- Growing popularity of gesture-based user interfaces in gaming and entertainment applications
- Proliferation of low-cost sensors and processors that support gesture recognition
- Advances in machine learning algorithms that improve the accuracy of gesture recognition
- Emergence of new use cases for gesture recognition beyond traditional consumer electronics applications
Scope Of The Report
Report Attributes
Report Details
Report Title
Gesture Recognition for Mobile Devices Market Research Report
By Type
2D Gesture Recognition, 3D Gesture Recognition
By Application
Smartphones, Tablets, Portable PCs
By Companies
Apple, ArcSoft, Crunchfish, eyeSight Technologies, Intel, Microsoft, Qualcomm, Samsung, SoftKinetic (Sony)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
206
Number of Tables & Figures
145
Customization Available
Yes, the report can be customized as per your need.
Global Gesture Recognition for Mobile Devices Market Report Segments:
The global Gesture Recognition for Mobile Devices market is segmented on the basis of:
Types
2D Gesture Recognition, 3D Gesture Recognition
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Smartphones, Tablets, Portable PCs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Apple
- ArcSoft
- Crunchfish
- eyeSight Technologies
- Intel
- Microsoft
- Qualcomm
- Samsung
- SoftKinetic (Sony)
Highlights of The Gesture Recognition for Mobile Devices Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- 2D Gesture Recognition
- 3D Gesture Recognition
- By Application:
- Smartphones
- Tablets
- Portable PCs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Gesture Recognition for Mobile Devices Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Gesture recognition is a technology that allows mobile devices to identify specific gestures made by the user. This can include things like swiping left or right on a touchscreen, flicking an finger up or down, and more. Gesture recognition can be used for various purposes, including navigation and inputting text.
Some of the key players operating in the gesture recognition for mobile devices market are Apple, ArcSoft, Crunchfish, eyeSight Technologies, Intel, Microsoft, Qualcomm, Samsung, SoftKinetic (Sony).
The gesture recognition for mobile devices market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Gesture Recognition for Mobile Devices Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Gesture Recognition for Mobile Devices Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Gesture Recognition for Mobile Devices Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Gesture Recognition for Mobile Devices Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Gesture Recognition for Mobile Devices Market Size & Forecast, 2018-2028 4.5.1 Gesture Recognition for Mobile Devices Market Size and Y-o-Y Growth 4.5.2 Gesture Recognition for Mobile Devices Market Absolute $ Opportunity
Chapter 5 Global Gesture Recognition for Mobile Devices Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Gesture Recognition for Mobile Devices Market Size Forecast by Type
5.2.1 2D Gesture Recognition
5.2.2 3D Gesture Recognition
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Gesture Recognition for Mobile Devices Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Gesture Recognition for Mobile Devices Market Size Forecast by Applications
6.2.1 Smartphones
6.2.2 Tablets
6.2.3 Portable PCs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Gesture Recognition for Mobile Devices Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Gesture Recognition for Mobile Devices Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Gesture Recognition for Mobile Devices Analysis and Forecast
9.1 Introduction
9.2 North America Gesture Recognition for Mobile Devices Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Gesture Recognition for Mobile Devices Market Size Forecast by Type
9.6.1 2D Gesture Recognition
9.6.2 3D Gesture Recognition
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Gesture Recognition for Mobile Devices Market Size Forecast by Applications
9.10.1 Smartphones
9.10.2 Tablets
9.10.3 Portable PCs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Gesture Recognition for Mobile Devices Analysis and Forecast
10.1 Introduction
10.2 Europe Gesture Recognition for Mobile Devices Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Gesture Recognition for Mobile Devices Market Size Forecast by Type
10.6.1 2D Gesture Recognition
10.6.2 3D Gesture Recognition
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Gesture Recognition for Mobile Devices Market Size Forecast by Applications
10.10.1 Smartphones
10.10.2 Tablets
10.10.3 Portable PCs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Gesture Recognition for Mobile Devices Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Gesture Recognition for Mobile Devices Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Gesture Recognition for Mobile Devices Market Size Forecast by Type
11.6.1 2D Gesture Recognition
11.6.2 3D Gesture Recognition
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Gesture Recognition for Mobile Devices Market Size Forecast by Applications
11.10.1 Smartphones
11.10.2 Tablets
11.10.3 Portable PCs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Gesture Recognition for Mobile Devices Analysis and Forecast
12.1 Introduction
12.2 Latin America Gesture Recognition for Mobile Devices Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Gesture Recognition for Mobile Devices Market Size Forecast by Type
12.6.1 2D Gesture Recognition
12.6.2 3D Gesture Recognition
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Gesture Recognition for Mobile Devices Market Size Forecast by Applications
12.10.1 Smartphones
12.10.2 Tablets
12.10.3 Portable PCs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Gesture Recognition for Mobile Devices Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Gesture Recognition for Mobile Devices Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Gesture Recognition for Mobile Devices Market Size Forecast by Type
13.6.1 2D Gesture Recognition
13.6.2 3D Gesture Recognition
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Gesture Recognition for Mobile Devices Market Size Forecast by Applications
13.10.1 Smartphones
13.10.2 Tablets
13.10.3 Portable PCs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Gesture Recognition for Mobile Devices Market: Competitive Dashboard
14.2 Global Gesture Recognition for Mobile Devices Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Apple
14.3.2 ArcSoft
14.3.3 Crunchfish
14.3.4 eyeSight Technologies
14.3.5 Intel
14.3.6 Microsoft
14.3.7 Qualcomm
14.3.8 Samsung
14.3.9 SoftKinetic (Sony)