Artificial Intelligence for Edge Devices Market With Top Countries Data : Emerging Technology, Competitive Landscape, Regional Analysis, Key Players, Industry Size and Forecast to 2024

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Global “Artificial Intelligence for Edge Devices Market” Provides analysis and information according to market segments such as geography, technology classification and applications. Artificial Intelligence for Edge Devices market report focuses on global and regional market, providing information on major players like manufacturers, suppliers, distributors, traders, customers, investors and etc. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this Artificial Intelligence for Edge Devices Market report.

Final Report will add the analysis of the impact of COVID-19 on this Artificial Intelligence for Edge Devices industry.

Short Description About Artificial Intelligence for Edge Devices Market :

Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.

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The research covers the current Artificial Intelligence for Edge Devices market size of the market and its growth rates based on 5-year records with company outline of Key players/manufacturers:

  • Microsoft
  • Qualcomm
  • Intel
  • Google
  • Alibaba
  • NVIDIA
  • Arm
  • Horizon Robotics
  • Baidu
  • Synopsys
  • Cambricon
  • MediaTek
  • Mythic
  • NXP

    Scope of the Artificial Intelligence for Edge Devices Market Report:

    Artificial Intelligence for Edge Devices is mainly used for these applications: Automotive, Consumer and Enterprise Robotics, Drones, Head-Mounted Displays, Smart Speakers, Mobile Phones, PCs/Tablets and Security Cameras, and Mobile Phones was the most widely used area which took up about 61.05% of the global total in 2018.

    United States is the largest consumption countries of Artificial Intelligence for Edge Devices in the world in the past few years and it will keep leader position in the next few years. United States market took up about 44.46% the global market in 2018, while Europe was about 19.29%.

    The global Artificial Intelligence for Edge Devices market is valued at 1491.3 million USD in 2018 and is expected to reach 4684.3 million USD by the end of 2024, growing at a CAGR of 25.7% between 2019 and 2024.

    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 Artificial Intelligence for Edge Devices.

    Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.

    This report studies the Artificial Intelligence for Edge 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 Artificial Intelligence for Edge Devices market by product type and applications/end industries.

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    Report further studies the market development status and future Artificial Intelligence for Edge Devices Market trend across the world. Also, it splits Artificial Intelligence for Edge Devices market Segmentation by Type and by Applications to fully and deeply research and reveal market profile and prospects.

    Major Classifications are as follows:

  • Hardware
  • Software

    Major Applications are as follows:

  • Application I
  • Application II

    The Artificial Intelligence for Edge Devices Market Report Provides Answers to the following Key Questions:

    • What will be the Artificial Intelligence for Edge Devices market size and the growth rate in 2024?
    • What are the main key factors driving the global Artificial Intelligence for Edge Devices market?
    • What are the key market trends impacting the growth of the global Artificial Intelligence for Edge Devices market?
    • Which Trending factors influencing the market shares of the top regions across the globe?
    • Who are the key market players and what are their strategies in the global Artificial Intelligence for Edge Devices market?
    • What are the market opportunities and threats faced by the vendors in the global Artificial Intelligence for Edge Devices market?
    • What industrial trends, drivers and challenges are manipulating its growth?
    • What are the key outcomes of the five forces analysis of the global Artificial Intelligence for Edge Devices market?

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