LAMEA Data Center Accelerator Market By Type (HPC Data Center and Cloud Data Center), By Processor Type (CPU, FPGA, GPU and ASIC), By Application (Deep Learning Training, Public Cloud Interface and Enterprise Interface), By Country, Growth Potential, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027
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Market Report Description
The Latin America, Middle East and Africa Data Center Accelerator Market would witness market growth of 36.9% CAGR during the forecast period (2021-2027).
Factor like increasing focus on parallel computing in AI data centers by the companies would augment the growth of the data center accelerator market. The speed of AI algorithms has significantly boosted owing to the growing usage of neural networks and machine learning, which needs parallel computing solutions. These parallel computing models have emerged as the most beneficial models for the deployment of deep learning training and interfaces because artificial neural networks function effectively and efficiently with a parallel computing framework. This high usage of neural networks and machine learning has resulted in the higher growth of the data center accelerator market.
The growing demand for improvement in application performance is anticipated to fuel the demand for data center accelerators in the market in the coming years. Additionally, increasing data storage needs in the market and rising usage of mobile data owing to growing applications in the market along with internet use in various companies are among the key driving factors of the data center accelerator market. Companies around the globe are shifting to cloud data storages that would bolster the demand for data center accelerators over the forecast period.
With the high usage of the internet across various companies in this region, the demand for building data centers is also surging, which is bolstering the growth of the data center accelerator market over the forecast period. Big data technology is gaining momentum in this region due to the high generation of domain-specific information by numerous public and private companies.
Moreover, AI and deep learning technologies are highly adopted by the companies, which are creating demand for data center accelerators in this region. The untapped potential of this region is motivating several companies to enter and expand their business in the region. Numerous companies are investing in the usage of various latest technologies and hence, fueling the growth of the regional data center accelerator market in the forecast period.
The Deep Learning Training market dominated the Saudi Arabia Data Center Accelerator Market by Application 2020, thereby, achieving a market value of $428.2 million by 2027. The Public Cloud Interface market is showcasing a CAGR of 38.4% during (2021 - 2027). Additionally, The Enterprise Interface market is expected to witness highest CAGR of 39% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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:
- HPC Data Center
- Cloud Data Center
By Processor Type
- Deep Learning Training
- Public Cloud Interface
- Enterprise Interface
- Saudi Arabia
- South Africa
- Rest of LAMEA
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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