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The data center accelerator market is estimated to be worth USD 2.84 billion in 2018 and is expected to reach USD 21.19 billion by 2023, at a CAGR of 49.47% from 2018 to 2023. The market is driven by factors such as the growing demand for AI in HPC data centers, growth of cloud-based services, and focus toward parallel computing in AI data centers. Furthermore, rising market for FPGA-based accelerators has created growth opportunities for the market players.

The evolution of technologies, namely machine learning and artificial intelligence (AI), has generated the demand for cognitive computing technology across various verticals such as automotive, industrial, and consumer. Rapid developments in the video analytics domain and the increasing adoption of advanced technologies in the security and surveillance industry have resulted in the development of high-performance AI-capable processors such as graphics processing units (GPUs) and tensor processing units (TPUs), which have higher memory bandwidth and computational capability than traditional processors, i.e., central processing units (CPUs).

The rising need for coprocessors due to the slowdown of Moore’s Law creates a major growth opportunity for the growth of players in this market. 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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Top 2 players in the data center accelerator market:

NVIDIA is among the world leaders in the visual computing business. It has a well-established geographic footprint and deals with major OEMs or ODMs. The company continues to lead in terms of the development of new products for the data center accelerator market. Recently, NVIDIA has witnessed a significant jump in its data center revenue, and the company is posing tough competition to Intel in the market. The company claims that its data center business has started ramping up. It has also won support from Microsoft, Amazon, Google, Alibaba, Baidu, Tencent, and Oracle for Volta. For instance, in March 2018, Oracle (US) collaborated with NVIDIA (US) to launch NVIDIA’s Tesla GPUs, based on the Volta architecture, as a new Oracle Cloud Infrastructure. Volta would be available for their internal use in deep learning as well as for external public cloud services. With the Moore’s Law slowing down, GPU accelerators are expected to witness significant success in deep learning, and interface applications.

Intel is a pioneer in the processors market, which offers CPU and field programmable gate arrays (FPGAs) in data centers to speed up computation-intensive workloads in data centers. These programmable logic devices can be reconfigured for different applications such as manufacturing, and military and aerospace, and automotive. For instance, in October 2017, the company launched standard PAC for Xeon servers as well as software that makes them easier to program. In addition, Intel and its partners have built functions for a wide variety of applications such as encryption, compression, network packet processing, database acceleration, video streaming analytics, and machine learning. NVIDIA GPUs are posing a major competition to Intel’s “Xeon Phi” CPUs that account for a significant share of the data center market share contributed by Intel.

Related Reports:

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

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