The Asia Pacific Data Center Accelerator Market is expected to witness market growth of 36.1% CAGR during the forecast period (2021-2027).
The data center accelerator market is growing at a significant pace due to the factors like the growing number of enterprises providing machine learning as a cloud service. This surge in the number of such companies is owing to the increasing demand for AI-based computation. Data center accelerators are widely used in fraud detection, image recognition, recommendation engines, voice search, sentiment analysis, motion detection, voice recognition, and among others.
In addition, some enterprises are increasingly creating a deep learning interface that could be utilized to create, train and implement machine learning models for cloud & mobile applications. In the next couple of years, the data center accelerator market is estimated to witness a boost in demand due to the rising demand for deep learning and the cloud-based services.
Investments by the Chinese government for encouraging technological progress have resulted in the growing adoption of cloud-based services, like Big Data Analytics and the Internet of Things (IoT). There are several government reforms like the establishment of free trade in Shanghai, which are gaining more international investors. The rising demand for high-density, redundant facilities is promoting a transformation in the design & development of the country’s data centers.
There is a high demand for data centers in China because the companies are looking for improved connectivity and scalable solutions to grow their business in the region. In addition, the increasing adoption of improved and latest technologies by the companies operating in emerging nations like India, China, and Japan is expected to support the regional growth of the data center accelerator market.
The growing technological advancements in the emerging nations of the region are among the major driving factors of the regional data center accelerator market during the forecast period. Additionally, the strong implementation of hybrid cloud technology by numerous enterprises in this region is expected to augment the growth of the regional data center accelerator market over the forecast period.
The China market dominated the Asia Pacific GPU Data Center Accelerator Market by Country 2020, thereby, achieving a market value of $1,416.1 million by 2027. The Japan market is exhibiting a CAGR of 36.1% during (2021 - 2027). Additionally, The India market is poised to grow at a CAGR of 37.7% during (2021 - 2027).
Based on Type, the market is segmented into HPC Data Center and Cloud Data Center. Based on Processor Type, the market is segmented into CPU, FPGA, GPU and ASIC. Based on Application, the market is segmented into Deep Learning Training, Public Cloud Interface and Enterprise Interface. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, NEC Corporation, Google, Inc., IBM Corporation, Micron Technology, Inc., Advanced Micro Devices, Inc., Marvell Technology Group Ltd., NVIDIA Corporation, Xilinx, Inc. and Qualcomm, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Type
- HPC Data Center
- Cloud Data Center
By Processor Type
- CPU
- FPGA
- GPU
- ASIC
By Application
- Deep Learning Training
- Public Cloud Interface
- Enterprise Interface
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Intel Corporation
- NEC Corporation
- Google, Inc.
- IBM Corporation
- Micron Technology, Inc.
- Advanced Micro Devices, Inc.
- Marvell Technology Group Ltd.
- NVIDIA Corporation
- Xilinx, Inc.
- Qualcomm, Inc.
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Table of Contents
Companies Mentioned
- Intel Corporation
- NEC Corporation
- Google, Inc.
- IBM Corporation
- Micron Technology, Inc.
- Advanced Micro Devices, Inc.
- Marvell Technology Group Ltd.
- NVIDIA Corporation
- Xilinx, Inc.
- Qualcomm, Inc.
Methodology
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