DUBLIN–()–The “Data Center Accelerator Market – Growth, Trends, and Forecasts (2020 – 2025)” report has been added to ResearchAndMarkets.com’s offering.

The data center accelerator market is expected to register a CAGR of 41% over the forecast period (2020 – 2025).

From scientific discoveries to artificial intelligence (AI), modern data centers are crucial to solving some of the world’s most critical challenges. These advanced data centers are transforming to increase networking bandwidth and optimize workloads like artificial intelligence. Datacenter administrators also expect the lower total cost of ownership, lower power, and new services.

Accelerators enable customers to meet these demands. They are designed to solve customer problems, high-performance, and hardware-based acceleration with excellent cost and power efficiency. For instance, the NVIDIA Volta recently accelerated its computing platform, giving these modern data centers the power to accelerate machine learning, deep learning, and high-performance computing workloads.

As businesses are increasingly applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings, enterprises are implementing machine learning applications, such as image and voice recognition, CPUs, and GPUs. They are being relied on more for faster training real-time inference. This is because these advanced processors can work for the increased network bandwidths created by the AI and ML workloads.

From machine learning inference, video transcoding, and data analytics to computational storage, electronic trading, and financial risk modeling, enterprises are actively looking for programmability, flexibility, and high throughput and low latency performance advantages to any server deployment.

The ever-increasing demands on the data center are pushing existing infrastructure to its limit, driving the need for adaptable solutions that can optimize performance across a broad range of workloads and extend the lifecycle of existing infrastructure, ultimately reducing TCO. To capture this demand and gain market recognition, players have been actively focusing on expanding their product portfolio.

The growing need for data centers and cloud resources from both the consumer service and business perspective has led to the development of large-scale public cloud data centers called hyperscale data centers. According to Cisco, hyperscale data centers are expected to increase by more than 60% by 2021, compared to 2016.

The COVID-19 pandemic has posed additional stress on the overall economy across sectors. It has also shifted focus towards a digital economy. Alibaba Cloud, China’s top cloud computing provider, is investing billions in building next-generation data centers to support digital transformation needs in a “post-pandemic world. In April 2020, AlibabaCloud announced that over the next three years, it would invest RMB 200 billion in core technologies and future-oriented data centers.

Key Market Trends

FPGA to Drive the Market Growth

FPGAs (Field programmable gate arrays) are pre-fabricated silicon devices that can be programmed electrically (post-manufacturing) to become almost any kind of digital system. They are an array of configurable logic blocks (CLBs) connected with programmable interconnects and can be reprogrammed to the desired application requirements after manufacturing.

  • The adoption of FPGA chips across all industries is driven by the fact that they combine the best parts of processor-based systems and application-specific integrated circuits (ASICs). In addition to this, for low-to-medium volume productions, FPGAs provide cheaper solutions and faster time to market than ASIC, which normally requires a lot of resources, in terms of time and capital, to obtain the first device.
  • FPGA in accelerators increase real-time inference throughput versus high-end CPUs, and reduce latency versus GPUs, providing significant merit when running real-time inference applications. Owing to this, FPGA is anticipated to become a significant area of investment by several players.
  • In Aug 2019, chipmaker Xilinx launched a new data center accelerator card that is primarily designed to fit into the standard PCIe server slots and run on any server. The company also describes it as the first adaptable compute, network, and storage accelerator card that is built for any server, any cloud. The FGPA-based card can also be used to turbocharge the workloads such as financial risk modeling, electronic financial trading, video transcoding, or machine learning.

Competitive Landscape

The data center accelerator market is fragmented. Players adopt various strategies such as new product launches, expansions, acquisitions to increase their market share. Moreover, the companies operating in this market invest huge amounts in research and development, which is helping them bring about more innovations in the products offered.

Key Topics Covered:


1.1 Study Assumptions & Market Definition

1.2 Scope of the Study




4.1 Market Overview

4.2 Industry Value Chain Analysis

4.3 Industry Attractiveness – Porter’s Five Force Analysis


5.1 Market Drivers

5.2 Market Restraints

5.3 Assessment of Impact of COVID-19 on the Industry


6.1 Impact of deep learning, public cloud interface, and enterprise interface on the data center accelerators


7.1 By Processor Type

7.1.1 CPU (Central Processing Unit)

7.1.2 GPU (Graphics Processing Unit)

7.1.3 FPGA (Field-Programmable Gate Array)

7.2 By Accelerator Type

7.2.1 High-performance Computing Accelerator

7.2.2 Cloud Accelerator

7.3 Geography


8.1 Company Profiles

8.1.1 Intel Corporation

8.1.2 NVIDIA Corporation

8.1.3 Advanced Micro Devices Inc.

8.1.4 Achronix Semiconductor Corporation

8.1.5 Xilinx Inc.

8.1.6 Hewlett Packard Enterprise Company

8.1.7 Dell Technologies Inc.

8.1.8 IBM Corporation

8.1.9 Cisco Systems Inc.

8.1.10 Qualcomm Technologies, Inc.



For more information about this report visit https://www.researchandmarkets.com/r/tou5bz

(Excerpt) Read more Here | 2021-01-11 10:34:00
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