Global Cloud High Performance Computing (HPC) Market: Overview
The cloud computing is based on Internet computing that offers collective computer processing resources and information to computers and other equipment on demand. It is a form for enabling omnipresent, on-demand admittance to a common pool of configurable computing resources.
The cloud computing can be quickly provisioned and unconstrained with nominal managing effort. On the whole, cloud computing lets the users and ventures with a range of abilities to store and processes their information in either confidentially owned cloud, otherwise on a moderator server in order to make information accessing methods which are much easy and consistent.
Global Cloud High Performance Computing (HPC) Market: Growth Factors
The major factors driving the growth of the global cloud high performance computing (HPC) market are complex applications management, the emergence of big data market, and adoption of the pay-as-you-go model. High performance computing involves the computation of complex applications such as ultra-high definition workflows, electronic design automatic simulations, financial quantitative analysis, seismic analysis, and genome analysis that are related to weather forecasting, climate change, and space exploration. Cloud HPC assists in the computation of these complex applications by offering an advanced computing environment. Furthermore, with the benefits of pay-as-you-go model adoption, both SMBs and large enterprises are willing to spend more on cloud HPC.
|Historic Years||2016 - 2020|
|Forecast Years||2021 - 2028|
|Segments Covered||By Product Type, By Application, and By End Use|
|Forecast Units||Value (USD Billion), and Volume (Units)|
|Quantitative Units||Revenue in USD million/billion and CAGR from 2021 to 2028|
|Regions Covered||North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World|
|Countries Covered||U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others|
|Number of Companies Covered||10 companies with scope for including additional 15 companies upon request|
|Report Coverage||Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.|
|Customization Scope||Avail customized purchase options to meet your exact research needs.|
Global Cloud High Performance Computing (HPC) Market: Segmentation
The cloud high performance computing (HPC) market starts with capturing information from major vendor revenues in the course of secondary research. The upended method was in use to verify the on the whole market size of the global cloud high performance computing (HPC) market from the profits of key players. This statistics triangulation and market break down methods were employed to complete the entire market engineering procedure and verify the correct statistics for all segments as well as sub-segments.
Global Cloud High Performance Computing (HPC) Market: Regional Analysis
North America is anticipated to have the leading market share and is anticipated to dominate the global cloud high performance computing (HPC) market in the coming future owing to different innovations during technology advancement, research & development and increasing demand for dealing flexibility and alertness. The global cloud high performance (HPC) market is projected to witness vast growth in Asia Pacific (APAC) due to enhanced technology, scalability, cost effectiveness, and enhanced production.
Global Cloud High Performance Computing (HPC) Market: Competitive players
Major players in the global cloud high performance computing (HPC) market include IBM Corporation, Dell, Amazon Web Services, Microsoft Corporation, Google, Penguin Computing, Sabalcore Computing, Adaptive Computing, and others.
Global Cloud High Performance Computing (HPC) Market: Regional Segment Analysis
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