Edge AI hardware market has significant
potential growth opportunities in the near future. An edge device is a hardware
that controls the flow of data between different networks. Edge device depends
on functions with different roles and essentially serve as network entry
points. The different functions of edge devices are filtering, translation,
routing, transmission, processing, storage of data passing between networks and
monitoring and the devices are worn by enterprises and service providers.
Artificial intelligence (AI) is a computer-enabled robotic system to process
information and produces an outcome in a systematic manner, likely, to the
thought process of humans in decision making, problem-solving and learning.
Rising demand for smart devices and increasing adoption of edge computing in
IoT are the factors increasing the growth of Edge AI hardware market.
Browse the full
report description Edge AI Hardware Market by Devices (Smartphones, Cameras,
Wearables, Automobile, Smart Speakers, and Others), by End-User (Healthcare,
Consumer Electronics, IT & Telecom, Automotive, Transportation, Government,
and Others) - Global Industry Share, Growth, Competitive Analysis and Forecast,
2019-2025 at https://www.omrglobal.com/industry-reports/edge-ai-hardware-market
Moreover, increasing
real-time low latency on edge devices and reduction in operation cost and data
storing are the factors that drive the market growth. Cloud computing depends
on a single data center; edge computing performs with the more distributed
networks and excludes the round-trip journey to the cloud and provide the local
authority and real-time responsiveness. It keeps the processing closest to the
end-user application with devices that includes tablets, smartphones and home
security systems that generate and consume the data that reduces latency and
rising to real-time automated decision making. The consumer demand for low
latency needs for quick music download and streaming videos.
The Edge AI hardware
market is highly fragmented due to the presence of several market players that
are significantly operating across the globe. The key market players include
NVIDIA Corp., Huawei Technologies Co. Ltd., Qualcomm Technologies, Inc., and
Wave Computing, Inc. Qualcomm is one of the leading players for the significant
growth of the Edge AI hardware industry that are focused on adopting organic
strategies that include partnership & collaboration and product launch. For
instance, in 2019, the company introduces the new series the Qualcomm QCS400
series of audio SoCs (System-on-Chips) specially designed to support the voice
UI enabled smart home and ecosystem. These series are based on high performance
and low power system architecture and help customer to meet the growing demand
for soundbars, smarter speakers, smart home assistants, and audiovisual
receivers. The series is designed for innovation and increased processing
power, accommodate AI engine that product developer can use to help them to
generate new machine learning inferences.
Current market trends
report covered in the market report:
Global Edge AI
hardware Market – Segmentation
By Device
By End-User
Global Edge AI
Hardware Market –Segment by region
North America
Europe
Asia-Pacific
Rest of the World
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