Global Data Analytics Supercomputer Market Overview:
Data Analytics Supercomputer is a powerful processing technology that offers exceptional capabilities for handling hundreds of terabytes of data. It has fast, scalable engines and parallel processing architecture that can integrate large volumes of disparate data for effective and reliable analysis. These supercomputers use data-parallel processing for applications using big data. North America is dominating the market due to the presence of the global players in this region as well as high technological advancement. North America is expected to dominate the market throughout the forecast period whereas Asia-Pacific has emerged as the fastest growing market and is expected to be the second-biggest market by the end of the forecast period. The increasing need to immediately analyze massive amounts of data is expected to increase the growth of the market in the forecast period.
- Proliferation Of Open Source Frameworks (Hadoop) For Big Data Analytics
- Ability To Process Data At Higher Resolutions
- Trend For Extracting Insights From Big Data
- High Capital Investment Cost
- Incapability Of Traditional BI And Analytical Approaches
- Unmanageable Amount Of Data Volume Across Various Industries
- Complexity In Programming Due To Massive Parallelization
Some of the key players profiled in the report are IBM (United States), PSSC Labs (United States), Silicon Graphics International (United States), Intel (United States), Dell (United States), Hewlett Packard (United States), Amazon Web Services (United States), Bright Computing(United States), Google(United States), Microsoft (United States), Advanced Micro Devices (United States), Cisco Systems (United States), TotalCAE (United States), Cepoint Networks (United States), Lenovo (China), Penguin Computing (United States) and RackMountPro (United States). Considering Market by Operating System, the sub-segment i.e. Linux will boost the Data Analytics Supercomputer market.
Complexity In Programming Due To Massive Parallelization and In September 2019, Hewlett Packard Enterprise acquired Cray Inc., a supercomputing leader. For the acquisition, HPE paid approximately USD 1.4 billion per share of USD 35. This merger was aimed to extend HPE’s industry-leading HPC and AI portfolio.
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The top-down and bottom-up approaches are used to estimate and validate the size of the Global Data Analytics Supercomputer market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Data Analytics Supercomputer market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Data Analytics Supercomputer Manufacturer, Technology Providers, Dealers, Suppliers, Traders, and Distributors, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End Use Industry.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.