Cloud High Performance Computing Market: Industry Analysis and Opportunity Assessment with Forecast upto 2025
Cloud high performance computing (HPC) refers to servers with high performance and computational data centric tasks. The cloud high performance computing is the integration of multiple processes which provide enhanced performance with improved efficiency in performance from a regular computer or a desktop. The cloud high performance computing provides solving complex problems which are related to business, engineering and technology. In the cloud high performance computing multiple high performance computers are arranged in a cluster within a single processor. The high performance computing application mostly requires fast storage, enhanced network performance, huge amount of memory. The cloud high performance computing is a relatively new technology and is expected to experience substantial growth over the next few years. Some of the key factors driving the cloud high performance computing market include emergence of big data market, complex application management and adoption of pay as you go model. Risk of information loss is a key factor restraining the market growth. Further growth in cost at the time of transition from on premises to cloud based high performance computing is another factor which is restraining the demand for cloud high performance computing market. Obtain Report Details @ http://www.transparencymarketresearch.com/cloud-high-performance-computingmarket.html The cloud high performance computing market by service type has been segmented into high performance computing PAAS, high performance computing IAAS, workload management and data organization, clustering software, managed services and professional services. The high performance computing PAAS segment in the cloud high performance computing market segmented by type accounted for the largest market share in term of revenue. The managed service segment is expected to grow at the fastest rate over the next few years.
The cloud high performance computing market by end use industry has been segmented into biosciences, academics, research and development, engineering and design, government, financial services, government, media, online gaming and entertainment, weather and environment, manufacturing and others. The government segment in the cloud high performance computing market segmented by end use industry held the largest market share. The academics, research and development segment in the cloud high performance computing market followed the government segment. The online gaming and entertainment segment in the cloud high performance computing segmented by end use industry is expected to grow at the fastest rate over the next few years. Make an Enquiry@ http://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=27092 Geographically the cloud high performance computing market by geography has been broadly segmented into Europe, North America, Asia Pacific, Latin America, Middle East and Africa. North America led the cloud high performance computing market in terms of revenue share. Europe followed North America in the cloud high performance computing market. Asia Pacific is expected to grow at the fastest rate over the next few years in the cloud high performance computing market. Some of the key players operating in the cloud high performance computing market include Microsoft Corporation (Washington, U.S.), International Business Machines Corporation (New York, U.S.), Dell Inc. (Texas, U.S.), Google Inc. (California, U.S.), Penguin Computing (California, U.S.), Amazon Web Services (Washington, U.S.), Adoptive Computing (U.S.), Sabalcore Computing (U.S.), Univa Corporation (Illinois, U.S.). The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.
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