AI edge processing today is focused on moving the inference part of the AI workflow to the device, keeping data constrained to the device. There are several different reasons why AI processing is moving to the edge device, depending on the application. Privacy, security, cost, latency, and bandwidth all need to be considered when evaluating cloud versus edge processing. The impact of model compression techniques like Google’s Learn2Compress that enables squeezing large AI models into small hardware form factors is also contributing to the rise of AI edge processing. Federated learning and blockchain-based decentralized AI architectures are also part of the shift of AI processing to the edge with part of the training also likely to move to the edge. Depending on the AI application and device category, there are several hardware options for performing AI edge processing. These options include CPUs, GPUs, ASICs, FPGAs, and SoC accelerators.

Market Analysis and Insights: Global Edge AI Processor Market
The global Edge AI Processor market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Edge AI Processor market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Edge AI Processor market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Edge AI Processor market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Edge AI Processor market.

Global Edge AI Processor Scope and Market Size
Edge AI Processor market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Edge AI Processor market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Machine Learning
Natural Language Processing

Segment by Application
Smart Home & City
Smart Driving
Industrial Automation
Video Surveillance
Drones
Other

By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Amazon
Intel
Alibaba Cloud Computing Co. Ltd.
Google
Inspur
Horizon Robotics
Microsoft
Huawei
CEVA
MediaTek
Spreadtrum Communications