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Scope of the Report:
The global Data Center Accelerator market is valued at 3603.2 million USD in 2018 and is expected to reach 12720 million USD by the end of 2024, growing at a CAGR of 37.1% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Data Center Accelerator.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Data Center Accelerator market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Data Center Accelerator market by product type and applications/end industries.
Market Segment by Companies, this report covers
- Advanced Micro Devices
- Alphabet (Google)
- Achronix Semiconductor
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
In 2018, GPU accounted for a major share of 85% in the global Data Center Accelerator market. And this product segment is poised to reach 29819 M USD by 2025 from 2983 M USD in 2018.
Market Segment by Applications, can be divided into
- Deep Learning Training
- HPC and Others
In Data Center Accelerator market, Deep Learning Training segment holds an important share in terms of application, and it is expected to reach 23381 M USD by 2025, at a CAGR of 40.16% during 2018 and 2025. It means that Data Center Accelerator will be promising in the Deep Learning Training field in the next couple of years.