Report overview
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.
This report aims to provide a comprehensive presentation of the global market for Gesture Recognition for Mobile Devices, 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 for Mobile Devices. This report contains market size and forecasts of Gesture Recognition for Mobile Devices in global, including the following market information:
Global Gesture Recognition for Mobile Devices Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Gesture Recognition for Mobile Devices market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The incorporation of gesture recognition by processor manufacturers as one of the primary growth factors for the gesture recognition for mobile devices market. Vendors are focusing on the development of new processors that support gesture recognition technology. Processor manufacturers are also engaging in collaborations and M&A with gesture recognition companies to facilitate the smoother integration of gesture recognition technology in their processors and additionally provide single chip gesture solutions that can be compatible with TOF cameras in consumer electronic devices.
We surveyed the Gesture Recognition for Mobile Devices companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Gesture Recognition for Mobile Devices Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Gesture Recognition for Mobile Devices Market Segment Percentages, by Type, 2022 (%)
2D Gesture Recognition
3D Gesture Recognition
Global Gesture Recognition for Mobile Devices Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Gesture Recognition for Mobile Devices Market Segment Percentages, by Application, 2022 (%)
Smartphones
Tablets
Portable PCs
Global Gesture Recognition for Mobile Devices Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Gesture Recognition for Mobile Devices Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Gesture Recognition for Mobile Devices revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Gesture Recognition for Mobile Devices revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Apple
ArcSoft
Crunchfish
eyeSight Technologies
Intel
Microsoft
Qualcomm
Samsung
SoftKinetic (Sony)
Outline of Major Chapters:
Chapter 1: Introduces the definition of Gesture Recognition for Mobile Devices, market overview.
Chapter 2: Global Gesture Recognition for Mobile Devices market size in revenue.
Chapter 3: Detailed analysis of Gesture Recognition for Mobile Devices company competitive landscape, revenue and 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: Sales of Gesture Recognition for Mobile Devices in regional level and country level. 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 of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
