Global Gesture Recognition for Mobile Devices Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2023

SKU ID : GIR- 12757781

Publishing Date : 06-Dec-2018

No. of pages : 137

PRICE
3480
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  • 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.

    Scope of the Report:
    This report studies the Gesture Recognition for Mobile Devices market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Gesture Recognition for Mobile Devices market by product type and applications/end industries.
    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.
    Smartphones segment accounts for the largest market share of Gesture Recognition for Mobile Devices Market and is estimated to lead the overall market in the years to come. The reason being, high demand from emerging countries like India, Indonesia, and China, rising use of smartphones with 3D cameras and growth in unit shipments of smartphones. In addition, high demand for gesture technology in smartphones and upgradation of 2D technology with 3D technology in smartphones are another factor boosting overall segment growth.
    The global Gesture Recognition for Mobile Devices market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
    The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
    North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Gesture Recognition for Mobile Devices.
    Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.

    Market Segment by Companies, this report covers
    Apple
    ArcSoft
    Crunchfish
    eyeSight Technologies
    Intel
    Microsoft
    Qualcomm
    Samsung
    SoftKinetic (Sony)

    Market Segment by Regions, regional analysis covers
    North America (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)
    Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

    Market Segment by Type, covers
    2D Gesture Recognition
    3D Gesture Recognition

    Market Segment by Applications, can be divided into
    Smartphones
    Tablets
    Portable PCs

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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