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Data Center Accelerator Market Size, Share & Industry Analysis By Processor Type (GPU (Graphics Processing Unit), CPU (Central Processing Unit), FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit)), By Accelerator Type (High-Performance Computing, Artificial Intelligence, Other Application) And Regional Forecast 2022-2029

Region : Global | Report ID: FBI106461 | Status : Ongoing

 

KEY MARKET INSIGHTS

The rise in parallel computing in Artificial Intelligence (AI) data centers is attributed to the expansion of the data center accelerator sector. Rising demand for AI in HPC data centers, and increased offering of machine learning by companies around the world, as well as rising demand for consumer-driven data and application performance enhancement, are all contributing to the data center accelerator market's growth.


Furthermore, the increasing need for data centers and cloud resources from both a commercial and consumer viewpoint has resulted in large-scale public cloud data centers, driving the target market forward. For Instance, according to Cisco System, Inc., the number of hyperscale data centers will expand by more than 60% by 2021 compared to 2016.


Also, virtual reality and augmented reality for digital client involvement would provide significant potential for the data center accelerator market to grow.


IMPACT OF COVID-19 ON THE DATA CENTER ACCELERATOR MARKET


The COVID-19 pandemic has put significant strain on the economy in a variety of ways. It has also moved its attention to the digital economy. Alibaba Cloud, China's largest cloud computing company, invests billions in next-generation data centers in fulfilling digital transformation needs in a "post-pandemic future. For Instance, In June 2021, Alibaba Cloud announced to invest USD 1 billion in core technologies and future-oriented data centers, including 100,000 technology startups in the Asia Pacific.


KEY INSIGHTS-


The report will cover the following insights-



  • Micro Macro Economic Indicators

  • Drivers, Restraints, Opportunities, and Trends

  • Impact of Covid-19

  • Business Strategies Adopted by Key Players

  • Consolidated SWOT Analysis of Key Players


ANALYSIS BY INDUSTRY-


Field Programmable Gate Array to Boost the Market Growth


The adoption of FPGA chips among all industries is driven by the fact that FPGA chips combine the greatest parts of processor-based systems and application-specific integrated circuits.  Furthermore, FPGAs offer less expensive options and a speed to market than ASIC for low-to-medium volume operations, which often requires a significant amount of time and money to obtain the first device. As a result, FPGA is expected to become an important investment area for a number of players. For Instance, in March 2020, Xilinx, Inc. introduced the SmartNIC platform, which offers real convergence of storage, network, and computes acceleration features on a single chip. Telcos and private cloud data center operators suffering from increasing networking needs and escalating costs can benefit from the Alveo U25 SmartNIC's increased efficiency and lower TCO. The U25 integrates a SmartNIC architecture that is well optimized with a robust and versatile FPGA-based engine that allows for complete programmability and turnkey accelerated applications.


REGIONAL ANALYSIS-


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North America is expected to hold a major market share in the data center accelerator market due to the rise in the number of hyper-scale data centers; the United States now has the most data centers in the world and is experiencing rapid development in terms of big data and traffic. For Instance, According to Cisco Systems, Inc., the global volume of big data in data center storage is estimated to exceed 403 exabytes by 2021, with the United States accounting for a significant portion of that.


KEY PLAYERS COVERED-


Key players in the data center accelerator market include Intel Corporation, NVIDIA Corporation, Advanced Micro Devices Inc., Xilinx Inc., IBM Corporation, Google Inc., Marvell Technology, Qualcomm Technology, Achronix Semiconductor Corporation, NEC Corporation, and others.


SEGMENTATION






















 ATTRIBUTE


  DETAILS

By Processor Type




  • GPU (Graphics Processing Unit)

  • CPU (Central Processing Unit)

  • FPGA (Field Programmable Gate Array)

  • ASIC (Application Specific Integrated Circuit)



By Accelerator Type




  • High-Performance Computing

  • Artificial Intelligence

  • Other Application



By Geography




  • North America (the US, Canada, Mexico)

  • Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, and Rest of Europe)

  • Asia Pacific (Japan, China, India, South Korea, ASEAN, Oceania, and Rest of Asia Pacific)

  • Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, and Rest of the Middle East & Africa)

  • Latin America (Brazil, Argentina, and Rest of Latin America)



KEY RECENT DEVELOPMENTS-



  • January 2021 – NVIDIA Corporation has expanded its vGPU software to help workstations and AI applications run faster. With the company's virtual GPU (vGPU) technology, Organizations can deliver greater scalability and performance to their employees by using GPU-accelerated virtual machines from the data center or cloud.  

  • May 2020 – Advanced Micro Devices Inc. announced the latest AMD Instinct MI100 accelerator with ROCm 4.0 open ecosystem support. AMD InstinctTM MI100 accelerators redefine high-performance computing (HPC) and AI with leading compute performance. EPYC CPU AMD and AMD Instinct accelerator-based installations were addressed, as was the company's relationship with Microsoft Azure for HPC in the cloud.


  • Ongoing
  • 2021
  • 2018-2020

    CHOOSE LICENSE TYPE

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