Market Overview:
The global gesture recognition for smart TV market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for gesture recognition technology in smart TVs across different regions. Gesture recognition technology enables users to interact with their devices using hand gestures, which eliminates the need for traditional input methods such as keyboards and mice. This helps improve user experience and provides a more natural interaction with devices. Based on type, the global gesture recognition for smart TV market is segmented into Kinect-based and vision-based segments. The Kinect-based segment is expected to hold a larger share of the market during the forecast period owing to its growing popularity among consumers and developers alike. Based on application, the market is segmented into household and commercial applications segments.
Product Definition:
Gesture recognition for smart TVs is the ability of a TV to interpret certain hand gestures and motions in order to control certain functions of the TV. This can include anything from turning the TV on or off, changing the channel, or adjusting the volume. Gesture recognition is important for smart TVs because it allows users to interact with their TVs without having to use a remote control.
Based Kinect:
Based Kinect is a technology that enables the development of motion-sensing applications for television sets. It also provides an interface between computers and living rooms, which are connected to the internet. The system uses a depth camera to sense movements in order to interpret gestures made by users.
Based Vision:
Based vision is a technology that enables the conversion of video images captured by a camera into a series of lines and spaces, which are then decoded to generate the image. The technology is used in gesture recognition for smart TV as it helps in identifying various gestures made by users while using remote control for changing channels or volume. It also helps identify multiple fingers making various movements to operate different functions on TVs such as switching channels or turning sound off and on.
Application Insights:
The commercial application segment accounted for the largest share of more than 60.0% in 2017. The use of gesture recognition technology in smart TVs has become a trend to enhance user experience and improve customer interaction with brands, thus leading to an increase in adoption by commercial establishments such as hotels, restaurants and shopping malls. Furthermore, the technology is also being used at sports stadiums where it can be implemented through interactive kiosks or scoreboards that display live match data along with advertisements or promotions running during downtime.
Household application is expected to witness significant growth over the forecast period owing to rising usage of smart TVs across homes worldwide as they provide easy access to online content and services without having users switch between different inputs such as keyboards/mice or remote controls while watching TV programs or movies from various providers like Netflix, HBO NOW & Cinemaxxhile surfing internet using a web browser installed on the set-top box (STB).
Regional Analysis:
North America dominated the global market in 2017 owing to early adoption of technology. The region is expected to maintain its dominance over the forecast period due to increasing penetration of smart TV and growing awareness about gesture recognition technology. Europe accounted for a significant share in terms of revenue, as well as volume, in 2017 owing to high demand from countries such as France and Germany. Increasing use cases such as gaming and shopping are also driving the regional market growth. Asia Pacific is projected to grow at a lucrative CAGR during the forecast period due to rising disposable income coupled with increasing penetration of smartphones among consumers especially in developing countries like India and China.
Growth Factors:
- Increasing demand for smart TVs
- Rising disposable income of consumers
- Technological advancements in gesture recognition technology
- Growing popularity of home entertainment systems
- Proliferation of affordable gesture recognition-enabled devices
Scope Of The Report
Report Attributes
Report Details
Report Title
Gesture Recognition for Smart TV Market Research Report
By Type
Based Kinect, Based Vision, Others
By Application
Household, Commercial
By Companies
EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft, Omron, Panasonic, SoftKinetic, SONY, EyeSight Mobile Technologies
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
201
Number of Tables & Figures
141
Customization Available
Yes, the report can be customized as per your need.
Global Gesture Recognition for Smart TV Market Report Segments:
The global Gesture Recognition for Smart TV market is segmented on the basis of:
Types
Based Kinect, Based Vision, Others
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
Household, Commercial
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:
- EyeSight Mobile Technologies
- LG Electronics
- Texas Instruments
- PointGrab
- Samsung
- ArcSoft
- Omron
- Panasonic
- SoftKinetic
- SONY
- EyeSight Mobile Technologies
Highlights of The Gesture Recognition for Smart TV 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:
- Based Kinect
- Based Vision
- Others
- By Application:
- Household
- Commercial
- 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 Smart TV 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.
How you may use our products:
- 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 feature that allows a smart TV to understand simple hand movements. This can be used for things like changing channels, adjusting the volume, or launching apps.
Some of the major players in the gesture recognition for smart tv market are EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft, Omron, Panasonic, SoftKinetic, SONY, EyeSight Mobile Technologies.
The gesture recognition for smart tv 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 Smart TV 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 Smart TV Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Gesture Recognition for Smart TV 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 Smart TV 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 Smart TV Market Size & Forecast, 2020-2028
4.5.1 Gesture Recognition for Smart TV Market Size and Y-o-Y Growth
4.5.2 Gesture Recognition for Smart TV Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Based Kinect
5.2.2 Based Vision
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Household
6.2.2 Commercial
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Gesture Recognition for Smart TV 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 Smart TV 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Based Kinect
9.6.2 Based Vision
9.6.3 Others
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 Market Size Forecast by Applications
9.10.1 Household
9.10.2 Commercial
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Based Kinect
10.6.2 Based Vision
10.6.3 Others
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 Market Size Forecast by Applications
10.10.1 Household
10.10.2 Commercial
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Based Kinect
11.6.2 Based Vision
11.6.3 Others
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 Market Size Forecast by Applications
11.10.1 Household
11.10.2 Commercial
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Based Kinect
12.6.2 Based Vision
12.6.3 Others
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 Market Size Forecast by Applications
12.10.1 Household
12.10.2 Commercial
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Based Kinect
13.6.2 Based Vision
13.6.3 Others
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) Market Size Forecast by Applications
13.10.1 Household
13.10.2 Commercial
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 Smart TV Market: Competitive Dashboard
14.2 Global Gesture Recognition for Smart TV Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 EyeSight Mobile Technologies
14.3.2 LG Electronics
14.3.3 Texas Instruments
14.3.4 PointGrab
14.3.5 Samsung
14.3.6 ArcSoft
14.3.7 Omron
14.3.8 Panasonic
14.3.9 SoftKinetic
14.3.10 SONY
14.3.11 EyeSight Mobile Technologies
