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Artificial Intelligence for Edge Devices Market to Perceive Potential Growth over period 2019-2027 with Top Players Profiled Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics

Artificial Intelligence for Edge Devices Overview:

Artificial intelligence (AI) processing is mostly done in a cloud-based data center these days. The majority of AI processing is dominated by deep learning training, which requires a great deal of computing power. Artificial intelligence for peripherals means that AI software algorithms are processed locally on a hardware device. The algorithms use data (sensor data or signals) created on the device. A device that uses Edge AI software does not need to be connected to work properly, it can process data and make decisions independently without a connection.

The Artificial Intelligence for Edge Devices Market is expected to grow with a CAGR of +27% over the forecast period 2020 to 2027 to generate +1500 Million USD revenue by 2027.

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Leading Players of Artificial Intelligence for Edge Devices Market:

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

Artificial Intelligence for Edge Devices Market segmentation:

Market by Type:

  • Hardware
  • Software

Market by Application:

  • Drones
  • Head-Mounted Displays
  • Smart Speakers
  • Automotive
  • Consumer and Enterprise Robotics
  • Mobile Phones
  • PCs/Tablets
  • Security Cameras

Regional Analysis:

North America (USA, Canada, and Mexico), Europe (Germany, France, UK, Italy, and Russia), Asia Pacific (China, India, Japan, South Korea, Australia, Indonesia, and Malaysia), Middle East and Africa (Bahrain, Egypt, Jordan, Kuwait, Morocco, Oman, Qatar, Saudi Arabia, and Syria)

Beneficial data was collected through a combination of primary and secondary studies. It provides a thorough explanation of global key factors affecting Artificial Intelligence for Edge Devices market growth. The research report has been presented in a clear and professional manner with effective infographics.

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Furthermore, Artificial Intelligence for Edge Devices Market research has been done with proven research methodologies like qualitative and quantitative research methodologies. Different infographics have been used while curating the report of the global market. The report profiles a few of the companies operating in the global market.

Following major points are highlighted in the research report:

  • The present approach of Artificial Intelligence for Edge Devices Market
  • Tracking of opportunities
  • Detailed elaboration of market trends (challenges, threats, opportunities, strengths, and weaknesses)
  • Identification of effective sales pattern Artificial Intelligence for Edge Devices Market
  • Analytical view on demand-supply chaining
  • Analysis of product development strategies
  • Detailed description on the adoption of new methodologies
  • Profiling of leading key players Artificial Intelligence for Edge Devices Market

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