Artificial Intelligence for Edge Devices Market (Updated Version Available)

Reports Insights has added a new detailed report on Global Artificial Intelligence for Edge Devices Market to its humongous database with the vision to shape the future of related businesses. The report covers the detailed information including growth rate, driving forces, market size, market trends, challenges, oppotunities and competitive analysis on the global and regional basis.

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.

The Global Artificial Intelligence for Edge Devices Market was valued at xx Million US$ in 2019 and is projected to reach xx Million US$ by 2028, at a CAGR of xx% during the forecast period. In this study, 2019 has been considered as the base year and 2020 to 2028.

Different leading key players have been profiled to get better insights into the businesses. It offers detailed elaboration on different top-level industries which are functioning in global regions. It includes informative data such as company overview, contact information, and some significant strategies followed by key players.

The Top Key Players include:

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


The global Artificial Intelligence for Edge Devices market is the professional and accurate study of various business perspectives such as major key players, key geographies, divers, restraints, opportunities, and challenges. This global research report has been aggregated on the basis of various market segments and sub-segments associated with the global market.

Global Artificial Intelligence for Edge Devices Market Key Segments:
On the Basis of Type:

Hardware
Software

On the Basis of Application:

Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Mobile Phones
PCs/Tablets
Security Cameras
On the Basis of Region:

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa (MEA)

Research Snapshot:

• Historic Period: 2014 - 2018
• Base Year: 2019
• Forecast Period: 2020-2028

Geographically, the global Artificial Intelligence for Edge Devices market has been analyzed in various regions such as North America, Latin America, Middle East, Asia-Pacific, Africa, Europe, and India. The global Artificial Intelligence for Edge Devices region is dominating this market in the upcoming future.

The study objectives of global market research report:

• To analyze the global Artificial Intelligence for Edge Devices market on the basis of several business verticals such as drivers, restraints, and opportunities
• It offers detailed elaboration on the global competitive landscape
• To get an informative data of various leading key industries functioning across the global regions
• It offers qualitative and quantitative analysis of the global Artificial Intelligence for Edge Devices market
• It offers all-inclusive information of global market along with its features, applications, challenges, threats, and opportunities

The major key questions addressed through this innovative research report:

1. What are the major challenges in front of the global Artificial Intelligence for Edge Devices market?
2. Who are the key vendors of the global Artificial Intelligence for Edge Devices market?
3. What are the leading key industries of the global Artificial Intelligence for Edge Devices market?
4. Which factors are responsible for driving the global Artificial Intelligence for Edge Devices market?
5. What are the key outcomes of SWOT and Porter\'s five analysis?
6. What are the major key strategies for enhancing global opportunities?
7. What are the different effective sales patterns?
8. What will be the global market size in the forecast period?

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Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.