Global Supercomputing as a Service
Global Supercomputing as a Service

Supercomputing as a Service Comprehensive Study by Application (Life Sciences, Bio-Pharma, Aerospace, Government, Banking), Deployment Mode (Private Cloud, Public Cloud, Hybrid Cloud), Organizations Size (Small and Medium Size Organization, Large Size Organization) Players and Region - Global Market Outlook to 2025

Supercomputing as a Service Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Oct 2020 Edition 210 Pages 194 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Supercomputing as a Service Market Overview:
Supercomputing as a Service makes it is a powerful computing and analytics capabilities that helps in making faster decisions and reduce time to discovery. The rapid development in the cloud industry is driving the computer as a services market. Supercomputing can be a boost the organizations to analyze large, complex datasets. This is also helpful for data scientists and IT executives to access powerful computing capabilities that enhance time to discovery and data-driven decision making. Some of the players profiled in the study are IBM (United States), HP (United States), Cray (United States), Fujitsu (Japan), Dell (United States), Google (United States), Hitachi (Japan), HuaWei (China), Inspur (China) and Lenovo (Hong Kong).

On the basis of geography, the market of Supercomputing as a Service has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Mode, the sub-segment i.e. Private Cloud will boost the Supercomputing as a Service market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Organizations Size, the sub-segment i.e. Small and Medium Size Organization will boost the Supercomputing as a Service market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Growth Drivers
  • Increase the Requirement for Flexible Computing Services
  • The Rise in Government Initiatives

Influencing Trend
  • In this market, North America is dominating the global supercomputing as a service market because of the high presence of major market players and huge developments in high-performance computing technology.

Restraints
  • Slowdown in the Economy

Opportunities
  • Growing Requirement of Process Complex Computations Processes
  • Increasing Number of Large Size Organization in North America Regions

Challenges
  • Lack of Awareness Among End Users


Key Market Developments:


In May 2019, HPE announced the acquisition of Cray Inc. to counter IBM in the supermarket industry. This is around USD 1.3 billion in markets. Through this initiative, Cray is extending its supercomputing and gain major market share.

The various market players are exploring the market in new geographical regions by adopting various market initiatives such as mergers & acquisitions, expansions, and others. Various new market players are entering the market to capture market growth opportunities.

Target Audience:
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Supercomputing as a Service Providers, Government Regulatory and Research Organizations and End-Use Industries

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Supercomputing as a Service market on the basis of product [] , application [Life Sciences, Bio-Pharma, Aerospace, Government and Banking], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Supercomputing as a Service market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
• To strategically profile the key players and analyzing their market shares and core competencies in the Supercomputing as a Service industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are Nimbix (United States), Penguin Computing (United States) and AXXE-L (Japan).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Supercomputing as a Service market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.
Report Objectives / Segmentation Covered
By Application
  • Life Sciences
  • Bio-Pharma
  • Aerospace
  • Government
  • Banking
By Deployment Mode
  • Private Cloud
  • Public Cloud
  • Hybrid Cloud

By Organizations Size
  • Small and Medium Size Organization
  • Large Size Organization

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increase the Requirement for Flexible Computing Services
      • 3.2.2. The Rise in Government Initiatives
    • 3.3. Market Challenges
      • 3.3.1. Lack of Awareness Among End Users
    • 3.4. Market Trends
      • 3.4.1. In this market, North America is dominating the global supercomputing as a service market because of the high presence of major market players and huge developments in high-performance computing technology.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Supercomputing as a Service, by Application, Deployment Mode, Organizations Size and Region (value and price ) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Supercomputing as a Service (Value)
      • 5.2.1. Global Supercomputing as a Service by: Application (Value)
        • 5.2.1.1. Life Sciences
        • 5.2.1.2. Bio-Pharma
        • 5.2.1.3. Aerospace
        • 5.2.1.4. Government
        • 5.2.1.5. Banking
      • 5.2.2. Global Supercomputing as a Service by: Deployment Mode (Value)
        • 5.2.2.1. Private Cloud
        • 5.2.2.2. Public Cloud
        • 5.2.2.3. Hybrid Cloud
      • 5.2.3. Global Supercomputing as a Service by: Organizations Size (Value)
        • 5.2.3.1. Small and Medium Size Organization
        • 5.2.3.2. Large Size Organization
      • 5.2.4. Global Supercomputing as a Service Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Supercomputing as a Service (Price)
  • 6. Supercomputing as a Service: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. HP (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Cray (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Fujitsu (Japan)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Dell (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Hitachi (Japan)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. HuaWei (China)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Inspur (China)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Lenovo (Hong Kong)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Supercomputing as a Service Sale, by Application, Deployment Mode, Organizations Size and Region (value and price ) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Supercomputing as a Service (Value)
      • 7.2.1. Global Supercomputing as a Service by: Application (Value)
        • 7.2.1.1. Life Sciences
        • 7.2.1.2. Bio-Pharma
        • 7.2.1.3. Aerospace
        • 7.2.1.4. Government
        • 7.2.1.5. Banking
      • 7.2.2. Global Supercomputing as a Service by: Deployment Mode (Value)
        • 7.2.2.1. Private Cloud
        • 7.2.2.2. Public Cloud
        • 7.2.2.3. Hybrid Cloud
      • 7.2.3. Global Supercomputing as a Service by: Organizations Size (Value)
        • 7.2.3.1. Small and Medium Size Organization
        • 7.2.3.2. Large Size Organization
      • 7.2.4. Global Supercomputing as a Service Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Supercomputing as a Service (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Supercomputing as a Service: by Application(USD Million)
  • Table 2. Supercomputing as a Service Life Sciences , by Region USD Million (2014-2019)
  • Table 3. Supercomputing as a Service Bio-Pharma , by Region USD Million (2014-2019)
  • Table 4. Supercomputing as a Service Aerospace , by Region USD Million (2014-2019)
  • Table 5. Supercomputing as a Service Government , by Region USD Million (2014-2019)
  • Table 6. Supercomputing as a Service Banking , by Region USD Million (2014-2019)
  • Table 7. Supercomputing as a Service: by Deployment Mode(USD Million)
  • Table 8. Supercomputing as a Service Private Cloud , by Region USD Million (2014-2019)
  • Table 9. Supercomputing as a Service Public Cloud , by Region USD Million (2014-2019)
  • Table 10. Supercomputing as a Service Hybrid Cloud , by Region USD Million (2014-2019)
  • Table 11. Supercomputing as a Service: by Organizations Size(USD Million)
  • Table 12. Supercomputing as a Service Small and Medium Size Organization , by Region USD Million (2014-2019)
  • Table 13. Supercomputing as a Service Large Size Organization , by Region USD Million (2014-2019)
  • Table 14. South America Supercomputing as a Service, by Country USD Million (2014-2019)
  • Table 15. South America Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 16. South America Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 17. South America Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 18. Brazil Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 19. Brazil Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 20. Brazil Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 21. Argentina Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 22. Argentina Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 23. Argentina Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 24. Rest of South America Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 25. Rest of South America Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 26. Rest of South America Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 27. Asia Pacific Supercomputing as a Service, by Country USD Million (2014-2019)
  • Table 28. Asia Pacific Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 29. Asia Pacific Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 30. Asia Pacific Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 31. China Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 32. China Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 33. China Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 34. Japan Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 35. Japan Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 36. Japan Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 37. India Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 38. India Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 39. India Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 40. South Korea Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 41. South Korea Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 42. South Korea Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 43. Taiwan Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 44. Taiwan Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 45. Taiwan Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 46. Australia Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 47. Australia Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 48. Australia Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 49. Rest of Asia-Pacific Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 50. Rest of Asia-Pacific Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 51. Rest of Asia-Pacific Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 52. Europe Supercomputing as a Service, by Country USD Million (2014-2019)
  • Table 53. Europe Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 54. Europe Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 55. Europe Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 56. Germany Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 57. Germany Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 58. Germany Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 59. France Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 60. France Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 61. France Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 62. Italy Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 63. Italy Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 64. Italy Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 65. United Kingdom Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 66. United Kingdom Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 67. United Kingdom Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 68. Netherlands Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 69. Netherlands Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 70. Netherlands Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 71. Rest of Europe Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 72. Rest of Europe Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 73. Rest of Europe Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 74. MEA Supercomputing as a Service, by Country USD Million (2014-2019)
  • Table 75. MEA Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 76. MEA Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 77. MEA Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 78. Middle East Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 79. Middle East Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 80. Middle East Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 81. Africa Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 82. Africa Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 83. Africa Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 84. North America Supercomputing as a Service, by Country USD Million (2014-2019)
  • Table 85. North America Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 86. North America Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 87. North America Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 88. United States Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 89. United States Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 90. United States Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 91. Canada Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 92. Canada Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 93. Canada Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 94. Mexico Supercomputing as a Service, by Application USD Million (2014-2019)
  • Table 95. Mexico Supercomputing as a Service, by Deployment Mode USD Million (2014-2019)
  • Table 96. Mexico Supercomputing as a Service, by Organizations Size USD Million (2014-2019)
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Supercomputing as a Service: by Application(USD Million)
  • Table 108. Supercomputing as a Service Life Sciences , by Region USD Million (2020-2025)
  • Table 109. Supercomputing as a Service Bio-Pharma , by Region USD Million (2020-2025)
  • Table 110. Supercomputing as a Service Aerospace , by Region USD Million (2020-2025)
  • Table 111. Supercomputing as a Service Government , by Region USD Million (2020-2025)
  • Table 112. Supercomputing as a Service Banking , by Region USD Million (2020-2025)
  • Table 113. Supercomputing as a Service: by Deployment Mode(USD Million)
  • Table 114. Supercomputing as a Service Private Cloud , by Region USD Million (2020-2025)
  • Table 115. Supercomputing as a Service Public Cloud , by Region USD Million (2020-2025)
  • Table 116. Supercomputing as a Service Hybrid Cloud , by Region USD Million (2020-2025)
  • Table 117. Supercomputing as a Service: by Organizations Size(USD Million)
  • Table 118. Supercomputing as a Service Small and Medium Size Organization , by Region USD Million (2020-2025)
  • Table 119. Supercomputing as a Service Large Size Organization , by Region USD Million (2020-2025)
  • Table 120. South America Supercomputing as a Service, by Country USD Million (2020-2025)
  • Table 121. South America Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 122. South America Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 123. South America Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 124. Brazil Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 125. Brazil Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 126. Brazil Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 127. Argentina Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 128. Argentina Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 129. Argentina Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 130. Rest of South America Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 131. Rest of South America Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 132. Rest of South America Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 133. Asia Pacific Supercomputing as a Service, by Country USD Million (2020-2025)
  • Table 134. Asia Pacific Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 135. Asia Pacific Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 136. Asia Pacific Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 137. China Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 138. China Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 139. China Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 140. Japan Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 141. Japan Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 142. Japan Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 143. India Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 144. India Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 145. India Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 146. South Korea Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 147. South Korea Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 148. South Korea Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 149. Taiwan Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 150. Taiwan Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 151. Taiwan Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 152. Australia Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 153. Australia Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 154. Australia Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 155. Rest of Asia-Pacific Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 156. Rest of Asia-Pacific Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 157. Rest of Asia-Pacific Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 158. Europe Supercomputing as a Service, by Country USD Million (2020-2025)
  • Table 159. Europe Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 160. Europe Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 161. Europe Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 162. Germany Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 163. Germany Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 164. Germany Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 165. France Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 166. France Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 167. France Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 168. Italy Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 169. Italy Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 170. Italy Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 171. United Kingdom Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 172. United Kingdom Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 173. United Kingdom Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 174. Netherlands Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 175. Netherlands Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 176. Netherlands Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 177. Rest of Europe Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 178. Rest of Europe Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 179. Rest of Europe Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 180. MEA Supercomputing as a Service, by Country USD Million (2020-2025)
  • Table 181. MEA Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 182. MEA Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 183. MEA Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 184. Middle East Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 185. Middle East Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 186. Middle East Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 187. Africa Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 188. Africa Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 189. Africa Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 190. North America Supercomputing as a Service, by Country USD Million (2020-2025)
  • Table 191. North America Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 192. North America Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 193. North America Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 194. United States Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 195. United States Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 196. United States Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 197. Canada Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 198. Canada Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 199. Canada Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 200. Mexico Supercomputing as a Service, by Application USD Million (2020-2025)
  • Table 201. Mexico Supercomputing as a Service, by Deployment Mode USD Million (2020-2025)
  • Table 202. Mexico Supercomputing as a Service, by Organizations Size USD Million (2020-2025)
  • Table 203. Research Programs/Design for This Report
  • Table 204. Key Data Information from Secondary Sources
  • Table 205. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Supercomputing as a Service: by Application USD Million (2014-2019)
  • Figure 5. Global Supercomputing as a Service: by Deployment Mode USD Million (2014-2019)
  • Figure 6. Global Supercomputing as a Service: by Organizations Size USD Million (2014-2019)
  • Figure 7. South America Supercomputing as a Service Share (%), by Country
  • Figure 8. Asia Pacific Supercomputing as a Service Share (%), by Country
  • Figure 9. Europe Supercomputing as a Service Share (%), by Country
  • Figure 10. MEA Supercomputing as a Service Share (%), by Country
  • Figure 11. North America Supercomputing as a Service Share (%), by Country
  • Figure 12. Global Supercomputing as a Service share by Players 2019 (%)
  • Figure 13. Global Supercomputing as a Service share by Players (Top 3) 2019(%)
  • Figure 14. Global Supercomputing as a Service share by Players (Top 5) 2019(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2019
  • Figure 18. HP (United States) Revenue, Net Income and Gross profit
  • Figure 19. HP (United States) Revenue: by Geography 2019
  • Figure 20. Cray (United States) Revenue, Net Income and Gross profit
  • Figure 21. Cray (United States) Revenue: by Geography 2019
  • Figure 22. Fujitsu (Japan) Revenue, Net Income and Gross profit
  • Figure 23. Fujitsu (Japan) Revenue: by Geography 2019
  • Figure 24. Dell (United States) Revenue, Net Income and Gross profit
  • Figure 25. Dell (United States) Revenue: by Geography 2019
  • Figure 26. Google (United States) Revenue, Net Income and Gross profit
  • Figure 27. Google (United States) Revenue: by Geography 2019
  • Figure 28. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 29. Hitachi (Japan) Revenue: by Geography 2019
  • Figure 30. HuaWei (China) Revenue, Net Income and Gross profit
  • Figure 31. HuaWei (China) Revenue: by Geography 2019
  • Figure 32. Inspur (China) Revenue, Net Income and Gross profit
  • Figure 33. Inspur (China) Revenue: by Geography 2019
  • Figure 34. Lenovo (Hong Kong) Revenue, Net Income and Gross profit
  • Figure 35. Lenovo (Hong Kong) Revenue: by Geography 2019
  • Figure 36. Global Supercomputing as a Service: by Application USD Million (2020-2025)
  • Figure 37. Global Supercomputing as a Service: by Deployment Mode USD Million (2020-2025)
  • Figure 38. Global Supercomputing as a Service: by Organizations Size USD Million (2020-2025)
  • Figure 39. South America Supercomputing as a Service Share (%), by Country
  • Figure 40. Asia Pacific Supercomputing as a Service Share (%), by Country
  • Figure 41. Europe Supercomputing as a Service Share (%), by Country
  • Figure 42. MEA Supercomputing as a Service Share (%), by Country
  • Figure 43. North America Supercomputing as a Service Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • HP (United States)
  • Cray (United States)
  • Fujitsu (Japan)
  • Dell (United States)
  • Google (United States)
  • Hitachi (Japan)
  • HuaWei (China)
  • Inspur (China)
  • Lenovo (Hong Kong)
Additional players considered in the study are as follows:
Nimbix (United States) , Penguin Computing (United States) , AXXE-L (Japan)
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