Registering a CAGR of 30% over the forecast period, the market value of Gesture Recognition for Smart TV is expected to reach US$ 3540 million in the year 2027.
Smart TV gesture recognition is a system that is used to create an excellent user experience in terms of connectivity and interactive communication between the human and machine. Smart TV gesture recognition is a system that is primarily used to improve the user experience in terms of interactive communication and connectivity between the machine and the human. Systems designed to integrate gesture and voice control into a standard smart TV have a longer lifespan.
This entire gesture recognition is programmed by software, which is capable of executing all types of gesture functionality; however, the major disadvantage is that it is not very reliable when used on a larger scale. The gesture recognition technology is evolving from the semiconductor level to the end-use application, which is constantly transforming the smart TV market. The global gesture recognition market is expected to expand significantly.
This entire gesture recognition is programmed by software, which is capable of executing all types of gesture functionality; however, the major disadvantage is that it is not very reliable when used on a larger scale. The gesture recognition technology is evolving from the semiconductor level to the end-use application, which is constantly transforming the smart TV market. The global gesture recognition market is expected to expand significantly.
The report aspects discussed the profile of the top manufacturers of the global Gesture Recognition for Smart TV market. These aspects include the financial status of major companies, trending advancements, and the entire market scenario. Growth of the report has examined Gesture Recognition for Smart TV Market production, demand and growth potential, geographic analysis, as well as current market developments in various regions and countries.
The global Gesture Recognition for Smart TV includes the identification and analysis of the various market participants competing in the global market. Prominent competitors include EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft, Omron, Panasonic, SoftKinetic, SONY, Thalmic Labs and others.
Gesture Interaction allows you to control your Samsung TV.
May 18. 2022— To control your frequently used functions, try using simple gestures. You can use your 2022 Samsung Smart TV more conveniently by using pre-set or custom Gesture Interactions. Gesture Interaction allows you to control your TV by using the TV's camera and AI technology to recognise your gestures.
The market is segmented based on the type, applications, companies, and regions.
By Type, it is segmented into
By Application, it is segmented into
North America dominates the global gesture recognition for smart TV market and is expected to grow significantly during the forecast period. This expansion is attributed to rising consumer disposable income and rising adoption of smart TVs. During the forecast period, the European market is expected to grow moderately.
The Gesture Recognition for Smart TV Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type, and segment. It focuses extensively on revealing a detailed regional analysis. The Global Gesture Recognition for Smart TV Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.
Scope of the Report covers Gesture Recognition for Smart TV Market with a detailed analysis of the overall scenario for the market. It also highlights the business participants’ environment in the global marketplace. This report also provides an overview of leading companies covering the latest successful marketing strategies, market contributions, current and historical background, and latest market happenings to help key organizations to grow and generate larger profits. Business players will greatly benefit from this Gesture Recognition for Smart TV Market analysis report as it has vital details to provide about regional markets and expected opportunities for the prediction time period 2022-2027. Growth between segments is used to understand the different growth factors that are expected to dominate the market as a whole and to develop strategies to differentiate between key applications and target markets. It further reveals how the worldwide market is working through efficient information graphics.
Report Attributes | Report Details |
Report Title | Gesture Recognition for Smart TV Market - Global Growth, Trends and Forecast (2022 - 2027) By Types, By Application, By Regions, and By Key Players: EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft |
Forecast Period 2022 to 2027 CAGR | CAGR of 30% over the forecast period (2022-2027) |
By Type |
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By Application |
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By Companies | EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft, Omron, Panasonic, SoftKinetic, SONY, Thalmic Labs |
Regions Covered |
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Countries Covered |
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Base Year | 2022 |
Historical Year | 2017 to 2021 |
Forecast Year | 2022 to 2027 |
Number of Pages | 158 |
Customization Available | Yes, the report can be customized as per your needs |
What is the study period of this market?
The Gesture Recognition for Smart TV Market is studied from 2017 - 2027.
What is the growth rate of the Gesture Recognition for Smart TV Market?
The Gesture Recognition for Smart TV Market is growing at a CAGR of 30% over the next 5 years.
Who are the key players in Gesture Recognition for Smart TV Market?
EyeSight Mobile Technologies, LG Electronics, Texas Instruments, PointGrab, Samsung, ArcSoft, Omron, Panasonic, SoftKinetic, SONY, Thalmic Labs
What regions does this Gesture Recognition for Smart TV Market report cover?
North America (the United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
What are the significant types of Gesture Recognition for Smart TV Market?
Based Kinect, Based Vision, Other
What are the major end-use applications of Gesture Recognition for Smart TV Market?
Household, Commercial
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SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.
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