According
to the recent research report "Data Center Accelerator Market by Processor
Type (CPU, GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud Accelerator),
Application (Deep Learning Training, Public Cloud Interface, Enterprise
Interface), and Geography - Global Forecast to 2023", the data center accelerator market is
expected to be valued at USD 2.84 billion by 2018 and is expected to reach USD
21.19 billion by 2023, at a CAGR of 49.47% from 2018 to 2023.
The
shifting focus toward parallel computing in AI data centers and growth of
cloud-based services are among the factors driving the growth of the data
center accelerator market. A growing number of tech giants and start-ups have
begun offering machine learning as a cloud service due to the burgeoning demand
for AI-based computation. Cloud-based solutions are ideal for small and
midsized businesses that find on-premise solutions costlier. Thus, the
increasing adoption of cloud-based technology is necessitating the need for
deep learning.
Deep learning training to hold largest
share during forecast period
The
key factor driving the growth of the data center accelerator market for deep
learning training is the increasing use of the technology in various
applications such as voice recognition, fraud detection, voice search,
recommendation engines, sentiment analysis, image recognition, and motion
detection. Also, the companies such as Amazon Web Services (US) and Microsoft
(US) have developed a deep learning interface, which can be used to prototype,
build, train, and deploy machine learning models for cloud and mobile apps.
GPU held largest share of market based
on processor type in 2017
The
key factor driving the growth of data center accelerator market is the focus on
parallel computing in AI data centers. Deep neural networks and machine
learning would require parallel computing solutions that can speed up 90% of
algorithms in AI. GPUs are suitable for parallel computing because of their
parallel architecture with thousands of cores within, which enable them to
handle multiple instructions concurrently. Parallel computing model is ideal
for implementing deep learning training and interface as artificial neural
networks principally work more efficiently with a parallel computing framework.
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North America held largest share for
data center accelerator market in 2017
North
America held the largest market share in 2017. The growing trend of cloud
computing has radically increased the economic impact of data center
investments made by leading service providers, such as Amazon (US), Facebook
(US), Google (US), and Microsoft (US).
Also, there is a demand for sophisticated infrastructure and services in
North America, which encourages the owners of data centers to opt for the
ANSI/TIA-942 standard and also, continually, invest in upgrading their
equipment and processes.
Major
players operating in the data center accelerator market include NVIDIA (US),
Intel (US), Alphabet (US), Advanced Micro Devices (US), Achronix Semiconductor
(US), Oracle (US), Xilinx (US), IBM (US), HP (US), Dell (US), Lenovo (China),
Fujitsu (Japan), and Cisco (US).
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