Artificial Intelligence for Edge Devices Market (Updated Version Available)

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.
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 touched xxx million USD with a CAGR xx % from 2015-2019 around the world. In the future, it is predicted to reach xxx million USD in 2020 with a CAGR xx % from 2020 - 2026.
As the report focuses on global Artificial Intelligence for Edge Devices Market, mainly in Europe and Asia Pacific, North America, Middle East and Africa, and South America. This report segmented the Market on the basis of regions, manufacturers, applications, and type.

in addition, this report introduces Market competition situation among the vendors and company profile, besides, Market price analysis and value chain features are covered in this report.

In Market segmentation by manufacturers, the report covers the following companies-
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP

In Market segmentation by geographical regions, the report has analyzed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

In Market segmentation by types covers:
Hardware
Software
In Market segmentation by applications :
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Mobile Phones
PCs/Tablets
Security Cameras

Apart from the drivers, restraints, and opportunities, the report also offers competitive landscape, including various growth strategies adopted by profiled players for establishing significant position in the industry. The segmentation included in the comprehensive report will help respectable manufacturers to set up their processing units in the regions and increase their global presence. This would also benefit the industry and increase the company\'s product portfolio.

The research provides answers to the following key questions:
• What is the estimated growth rate and Market share and size of the Artificial Intelligence for Edge Devices Market for the forecast period 2020 - 2026?
• What are the driving forces in the Artificial Intelligence for Edge Devices Market for the forecast period 2020 - 2026?
• Who are the prominent Market players and how have they gained a competitive edge over other competitors?
• What are the Market trends influencing the progress of the Artificial Intelligence for Edge Devices industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the Market hold for the prominent Market players?