The Deep Learning Processor for Data Center is an emerging and upcoming market showing immense potential for growth. The APAC region is expected to post highest CAGR in the near future.
- Definition / Scope
- Market Overview
- Top Market Opportunities
- Market Drivers
- Market Restraints
- Industry Challenges
- Technology Trends
- Regulatory Trends
- Market Size and Forecast
- Market Outlook
- Technology Roadmap
- Competitive Landscape
- Competitive Factors
- Key Market Players
- Strategic Conclusion
Definition / Scope
The modern data center (DC) is a complex interaction of multiple mechanical, electrical and controls systems. The sheer number of possible operating configurations and nonlinear inter-dependencies make it difficult to understand and optimize energy efficiency. It has been observed that deep learning is an effective way of leveraging existing sensor data to model DC performance and improve energy efficiency.
Deep Learning includes 2 learning phases which includes training and inference. It is expected that increasing deep learning workload, both training and inference, in the data centers for internal usage and of providing computing power as a cloud service.
The support of hardware and processors with better compute performance and power-efficiency are critical to accelerate the development of deep learning in addition to big data and advanced algorithms.
The Global data center accelerator market was valued at USD 1.60 billion in 2017 and is expected to reach USD 21.19 billion by 2022, at a CAGR of 49.47% during the forecast period. In this report, 2017 has been considered as the base year, and the forecast period is from 2018 to 2022.
The market has been segmented on the bases of processor type, application, type, and geography. The data center accelerator market, by processor type, has been segmented into CPU, GPU, FPGA, and ASIC. The market for FPGA is expected to grow at the highest CAGR during the forecast period. The growth can be attributed to the increasing adoption of FPGAs for the acceleration of enterprise workloads.
By application, the market has been segmented into deep learning training, public cloud interface, and enterprise interface. The market for enterprise interface is expected to grow at the highest CAGR during the forecast period. Amazon Web Services (US) has partnered with the on-premises platform providers such as Intel (US), Microsoft (US), and VMware (US) to develop hybrid capabilities across storage, networking, security, and management tools; and to deploy the applications to make the integration of cloud services easy.
The Global Data Center Accelerator market is expected to grow from a Market Cap of USD 1 Billion in 2016 to USD 10 Billion in 2020 clocking a whopping CAGR of 75%.