Global Supercomputing as a Service

Supercomputing as a Service Comprehensive Study by Type (Vector Processing Machines, Tightly Connected Cluster Computer, Commodity Cluster), Application (Life Sciences, Bio-pharma, Aerospace, Government, Banking, Other), 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 2028

Supercomputing as a Service Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
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.This growth is primarily driven by Increased investments in the R&D of supercomputers by significant companies .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Internet Software & Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as PEZY/Exascaler, Hitachi/Fujitsu, Microsoft, HP, SGI, Bull, HuaWei, Cray, Dawning Information Industry, Inspur, Dell, NUDT, Fujitsu, Lenovo, IBM and Hewlett Packard Enterprise, etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In 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., and In 2020, Microsoft collaborate with OpenAI, It developed one of the world's top five publicly publicized supercomputers for training huge artificial intelligence models. The Azure-hosted supercomputer was created specifically to train the company's AI algorithms. According to a statement released at its virtual Build developers conference, the new supercomputer created for OpenAI features more than 285,000 CPU cores, 10,000 graphics processing units, and 400 gigabits per second of connection for each GPU server.
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.

Regulatory Insights:


Influencing Trend:
Growing investment in R&D and Increasing adoption of supercomputers

Market Growth Drivers:
Increased investments in the R&D of supercomputers by significant companies and Increasing Demand for Higher Processing Power

Challenges:
Lack of Awareness Among End Users

Restraints:
High installation cost and Ample space are significant barriers

Opportunities:
Government investment in high-processing power and Governments across the globe are investing in high-end projects which require high-performing computing devices

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Supercomputing as a Service Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Supercomputing as a Service Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Supercomputing as a Service players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Supercomputing as a Service Study Sheds Light on
— The Supercomputing as a Service Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Supercomputing as a Service industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Supercomputing as a Service industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Vector Processing Machines
  • Tightly Connected Cluster Computer
  • Commodity Cluster
By Application
  • Life Sciences
  • Bio-pharma
  • Aerospace
  • Government
  • Banking
  • Other
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. Increased investments in the R&D of supercomputers by significant companies
      • 3.2.2. Increasing Demand for Higher Processing Power
    • 3.3. Market Challenges
      • 3.3.1. Lack of Awareness Among End Users
    • 3.4. Market Trends
      • 3.4.1. Growing investment in R&D
      • 3.4.2. Increasing adoption of supercomputers
  • 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 Type, Application, Deployment Mode, , Organizations Size and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Supercomputing as a Service (Value)
      • 5.2.1. Global Supercomputing as a Service by: Type (Value)
        • 5.2.1.1. Vector Processing Machines
        • 5.2.1.2. Tightly Connected Cluster Computer
        • 5.2.1.3. Commodity Cluster
      • 5.2.2. Global Supercomputing as a Service by: Application (Value)
        • 5.2.2.1. Life Sciences
        • 5.2.2.2. Bio-pharma
        • 5.2.2.3. Aerospace
        • 5.2.2.4. Government
        • 5.2.2.5. Banking
        • 5.2.2.6. Other
      • 5.2.3. Global Supercomputing as a Service by: Deployment Mode (Value)
        • 5.2.3.1. Private Cloud
        • 5.2.3.2. Public Cloud
        • 5.2.3.3. Hybrid Cloud
      • 5.2.4. Global Supercomputing as a Service by: Organizations Size (Value)
        • 5.2.4.1. Small and Medium Size Organization
        • 5.2.4.2. Large Size Organization
      • 5.2.5. Global Supercomputing as a Service Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. PEZY/Exascaler
        • 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. Hitachi/Fujitsu
        • 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. Microsoft
        • 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. HP
        • 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. SGI
        • 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. Bull
        • 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. HuaWei
        • 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. Cray
        • 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. Dawning Information Industry
        • 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. Inspur
        • 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
      • 6.4.11. Dell
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. NUDT
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Fujitsu
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Lenovo
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. IBM
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Hewlett Packard Enterprise
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
  • 7. Global Supercomputing as a Service Sale, by Type, Application, Deployment Mode, , Organizations Size and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Supercomputing as a Service (Value)
      • 7.2.1. Global Supercomputing as a Service by: Type (Value)
        • 7.2.1.1. Vector Processing Machines
        • 7.2.1.2. Tightly Connected Cluster Computer
        • 7.2.1.3. Commodity Cluster
      • 7.2.2. Global Supercomputing as a Service by: Application (Value)
        • 7.2.2.1. Life Sciences
        • 7.2.2.2. Bio-pharma
        • 7.2.2.3. Aerospace
        • 7.2.2.4. Government
        • 7.2.2.5. Banking
        • 7.2.2.6. Other
      • 7.2.3. Global Supercomputing as a Service by: Deployment Mode (Value)
        • 7.2.3.1. Private Cloud
        • 7.2.3.2. Public Cloud
        • 7.2.3.3. Hybrid Cloud
      • 7.2.4. Global Supercomputing as a Service by: Organizations Size (Value)
        • 7.2.4.1. Small and Medium Size Organization
        • 7.2.4.2. Large Size Organization
      • 7.2.5. Global Supercomputing as a Service Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 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 Type(USD Million)
  • Table 2. Supercomputing as a Service Vector Processing Machines , by Region USD Million (2017-2022)
  • Table 3. Supercomputing as a Service Tightly Connected Cluster Computer , by Region USD Million (2017-2022)
  • Table 4. Supercomputing as a Service Commodity Cluster , by Region USD Million (2017-2022)
  • Table 5. Supercomputing as a Service: by Application(USD Million)
  • Table 6. Supercomputing as a Service Life Sciences , by Region USD Million (2017-2022)
  • Table 7. Supercomputing as a Service Bio-pharma , by Region USD Million (2017-2022)
  • Table 8. Supercomputing as a Service Aerospace , by Region USD Million (2017-2022)
  • Table 9. Supercomputing as a Service Government , by Region USD Million (2017-2022)
  • Table 10. Supercomputing as a Service Banking , by Region USD Million (2017-2022)
  • Table 11. Supercomputing as a Service Other , by Region USD Million (2017-2022)
  • Table 12. Supercomputing as a Service: by Deployment Mode(USD Million)
  • Table 13. Supercomputing as a Service Private Cloud , by Region USD Million (2017-2022)
  • Table 14. Supercomputing as a Service Public Cloud , by Region USD Million (2017-2022)
  • Table 15. Supercomputing as a Service Hybrid Cloud , by Region USD Million (2017-2022)
  • Table 16. Supercomputing as a Service: by Organizations Size(USD Million)
  • Table 17. Supercomputing as a Service Small and Medium Size Organization , by Region USD Million (2017-2022)
  • Table 18. Supercomputing as a Service Large Size Organization , by Region USD Million (2017-2022)
  • Table 19. South America Supercomputing as a Service, by Country USD Million (2017-2022)
  • Table 20. South America Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 21. South America Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 22. South America Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 23. South America Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 24. Brazil Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 25. Brazil Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 26. Brazil Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 27. Brazil Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 28. Argentina Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 29. Argentina Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 30. Argentina Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 31. Argentina Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 32. Rest of South America Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 33. Rest of South America Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 34. Rest of South America Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 35. Rest of South America Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 36. Asia Pacific Supercomputing as a Service, by Country USD Million (2017-2022)
  • Table 37. Asia Pacific Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 38. Asia Pacific Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 39. Asia Pacific Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 40. Asia Pacific Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 41. China Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 42. China Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 43. China Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 44. China Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 45. Japan Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 46. Japan Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 47. Japan Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 48. Japan Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 49. India Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 50. India Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 51. India Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 52. India Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 53. South Korea Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 54. South Korea Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 55. South Korea Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 56. South Korea Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 57. Taiwan Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 58. Taiwan Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 59. Taiwan Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 60. Taiwan Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 61. Australia Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 62. Australia Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 63. Australia Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 64. Australia Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 69. Europe Supercomputing as a Service, by Country USD Million (2017-2022)
  • Table 70. Europe Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 71. Europe Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 72. Europe Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 73. Europe Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 74. Germany Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 75. Germany Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 76. Germany Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 77. Germany Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 78. France Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 79. France Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 80. France Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 81. France Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 82. Italy Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 83. Italy Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 84. Italy Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 85. Italy Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 86. United Kingdom Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 87. United Kingdom Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 88. United Kingdom Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 89. United Kingdom Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 90. Netherlands Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 91. Netherlands Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 92. Netherlands Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 93. Netherlands Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 94. Rest of Europe Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 95. Rest of Europe Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 96. Rest of Europe Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 97. Rest of Europe Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 98. MEA Supercomputing as a Service, by Country USD Million (2017-2022)
  • Table 99. MEA Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 100. MEA Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 101. MEA Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 102. MEA Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 103. Middle East Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 104. Middle East Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 105. Middle East Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 106. Middle East Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 107. Africa Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 108. Africa Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 109. Africa Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 110. Africa Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 111. North America Supercomputing as a Service, by Country USD Million (2017-2022)
  • Table 112. North America Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 113. North America Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 114. North America Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 115. North America Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 116. United States Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 117. United States Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 118. United States Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 119. United States Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 120. Canada Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 121. Canada Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 122. Canada Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 123. Canada Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 124. Mexico Supercomputing as a Service, by Type USD Million (2017-2022)
  • Table 125. Mexico Supercomputing as a Service, by Application USD Million (2017-2022)
  • Table 126. Mexico Supercomputing as a Service, by Deployment Mode USD Million (2017-2022)
  • Table 127. Mexico Supercomputing as a Service, by Organizations Size USD Million (2017-2022)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Supercomputing as a Service: by Type(USD Million)
  • Table 145. Supercomputing as a Service Vector Processing Machines , by Region USD Million (2023-2028)
  • Table 146. Supercomputing as a Service Tightly Connected Cluster Computer , by Region USD Million (2023-2028)
  • Table 147. Supercomputing as a Service Commodity Cluster , by Region USD Million (2023-2028)
  • Table 148. Supercomputing as a Service: by Application(USD Million)
  • Table 149. Supercomputing as a Service Life Sciences , by Region USD Million (2023-2028)
  • Table 150. Supercomputing as a Service Bio-pharma , by Region USD Million (2023-2028)
  • Table 151. Supercomputing as a Service Aerospace , by Region USD Million (2023-2028)
  • Table 152. Supercomputing as a Service Government , by Region USD Million (2023-2028)
  • Table 153. Supercomputing as a Service Banking , by Region USD Million (2023-2028)
  • Table 154. Supercomputing as a Service Other , by Region USD Million (2023-2028)
  • Table 155. Supercomputing as a Service: by Deployment Mode(USD Million)
  • Table 156. Supercomputing as a Service Private Cloud , by Region USD Million (2023-2028)
  • Table 157. Supercomputing as a Service Public Cloud , by Region USD Million (2023-2028)
  • Table 158. Supercomputing as a Service Hybrid Cloud , by Region USD Million (2023-2028)
  • Table 159. Supercomputing as a Service: by Organizations Size(USD Million)
  • Table 160. Supercomputing as a Service Small and Medium Size Organization , by Region USD Million (2023-2028)
  • Table 161. Supercomputing as a Service Large Size Organization , by Region USD Million (2023-2028)
  • Table 162. South America Supercomputing as a Service, by Country USD Million (2023-2028)
  • Table 163. South America Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 164. South America Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 165. South America Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 166. South America Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 167. Brazil Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 168. Brazil Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 169. Brazil Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 170. Brazil Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 171. Argentina Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 172. Argentina Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 173. Argentina Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 174. Argentina Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 175. Rest of South America Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 176. Rest of South America Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 177. Rest of South America Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 178. Rest of South America Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 179. Asia Pacific Supercomputing as a Service, by Country USD Million (2023-2028)
  • Table 180. Asia Pacific Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 181. Asia Pacific Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 182. Asia Pacific Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 183. Asia Pacific Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 184. China Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 185. China Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 186. China Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 187. China Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 188. Japan Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 189. Japan Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 190. Japan Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 191. Japan Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 192. India Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 193. India Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 194. India Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 195. India Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 196. South Korea Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 197. South Korea Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 198. South Korea Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 199. South Korea Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 200. Taiwan Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 201. Taiwan Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 202. Taiwan Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 203. Taiwan Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 204. Australia Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 205. Australia Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 206. Australia Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 207. Australia Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 208. Rest of Asia-Pacific Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 209. Rest of Asia-Pacific Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 210. Rest of Asia-Pacific Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 211. Rest of Asia-Pacific Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 212. Europe Supercomputing as a Service, by Country USD Million (2023-2028)
  • Table 213. Europe Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 214. Europe Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 215. Europe Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 216. Europe Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 217. Germany Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 218. Germany Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 219. Germany Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 220. Germany Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 221. France Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 222. France Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 223. France Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 224. France Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 225. Italy Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 226. Italy Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 227. Italy Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 228. Italy Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 229. United Kingdom Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 230. United Kingdom Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 231. United Kingdom Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 232. United Kingdom Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 233. Netherlands Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 234. Netherlands Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 235. Netherlands Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 236. Netherlands Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 237. Rest of Europe Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 238. Rest of Europe Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 239. Rest of Europe Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 240. Rest of Europe Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 241. MEA Supercomputing as a Service, by Country USD Million (2023-2028)
  • Table 242. MEA Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 243. MEA Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 244. MEA Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 245. MEA Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 246. Middle East Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 247. Middle East Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 248. Middle East Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 249. Middle East Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 250. Africa Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 251. Africa Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 252. Africa Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 253. Africa Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 254. North America Supercomputing as a Service, by Country USD Million (2023-2028)
  • Table 255. North America Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 256. North America Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 257. North America Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 258. North America Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 259. United States Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 260. United States Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 261. United States Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 262. United States Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 263. Canada Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 264. Canada Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 265. Canada Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 266. Canada Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 267. Mexico Supercomputing as a Service, by Type USD Million (2023-2028)
  • Table 268. Mexico Supercomputing as a Service, by Application USD Million (2023-2028)
  • Table 269. Mexico Supercomputing as a Service, by Deployment Mode USD Million (2023-2028)
  • Table 270. Mexico Supercomputing as a Service, by Organizations Size USD Million (2023-2028)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. 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 Type USD Million (2017-2022)
  • Figure 5. Global Supercomputing as a Service: by Application USD Million (2017-2022)
  • Figure 6. Global Supercomputing as a Service: by Deployment Mode USD Million (2017-2022)
  • Figure 7. Global Supercomputing as a Service: by Organizations Size USD Million (2017-2022)
  • Figure 8. South America Supercomputing as a Service Share (%), by Country
  • Figure 9. Asia Pacific Supercomputing as a Service Share (%), by Country
  • Figure 10. Europe Supercomputing as a Service Share (%), by Country
  • Figure 11. MEA Supercomputing as a Service Share (%), by Country
  • Figure 12. North America Supercomputing as a Service Share (%), by Country
  • Figure 13. Global Supercomputing as a Service share by Players 2022 (%)
  • Figure 14. Global Supercomputing as a Service share by Players (Top 3) 2022(%)
  • Figure 15. Global Supercomputing as a Service share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. PEZY/Exascaler Revenue, Net Income and Gross profit
  • Figure 18. PEZY/Exascaler Revenue: by Geography 2022
  • Figure 19. Hitachi/Fujitsu Revenue, Net Income and Gross profit
  • Figure 20. Hitachi/Fujitsu Revenue: by Geography 2022
  • Figure 21. Microsoft Revenue, Net Income and Gross profit
  • Figure 22. Microsoft Revenue: by Geography 2022
  • Figure 23. HP Revenue, Net Income and Gross profit
  • Figure 24. HP Revenue: by Geography 2022
  • Figure 25. SGI Revenue, Net Income and Gross profit
  • Figure 26. SGI Revenue: by Geography 2022
  • Figure 27. Bull Revenue, Net Income and Gross profit
  • Figure 28. Bull Revenue: by Geography 2022
  • Figure 29. HuaWei Revenue, Net Income and Gross profit
  • Figure 30. HuaWei Revenue: by Geography 2022
  • Figure 31. Cray Revenue, Net Income and Gross profit
  • Figure 32. Cray Revenue: by Geography 2022
  • Figure 33. Dawning Information Industry Revenue, Net Income and Gross profit
  • Figure 34. Dawning Information Industry Revenue: by Geography 2022
  • Figure 35. Inspur Revenue, Net Income and Gross profit
  • Figure 36. Inspur Revenue: by Geography 2022
  • Figure 37. Dell Revenue, Net Income and Gross profit
  • Figure 38. Dell Revenue: by Geography 2022
  • Figure 39. NUDT Revenue, Net Income and Gross profit
  • Figure 40. NUDT Revenue: by Geography 2022
  • Figure 41. Fujitsu Revenue, Net Income and Gross profit
  • Figure 42. Fujitsu Revenue: by Geography 2022
  • Figure 43. Lenovo Revenue, Net Income and Gross profit
  • Figure 44. Lenovo Revenue: by Geography 2022
  • Figure 45. IBM Revenue, Net Income and Gross profit
  • Figure 46. IBM Revenue: by Geography 2022
  • Figure 47. Hewlett Packard Enterprise Revenue, Net Income and Gross profit
  • Figure 48. Hewlett Packard Enterprise Revenue: by Geography 2022
  • Figure 49. Global Supercomputing as a Service: by Type USD Million (2023-2028)
  • Figure 50. Global Supercomputing as a Service: by Application USD Million (2023-2028)
  • Figure 51. Global Supercomputing as a Service: by Deployment Mode USD Million (2023-2028)
  • Figure 52. Global Supercomputing as a Service: by Organizations Size USD Million (2023-2028)
  • Figure 53. South America Supercomputing as a Service Share (%), by Country
  • Figure 54. Asia Pacific Supercomputing as a Service Share (%), by Country
  • Figure 55. Europe Supercomputing as a Service Share (%), by Country
  • Figure 56. MEA Supercomputing as a Service Share (%), by Country
  • Figure 57. North America Supercomputing as a Service Share (%), by Country
List of companies from research coverage that are profiled in the study
  • PEZY/Exascaler
  • Hitachi/Fujitsu
  • Microsoft
  • HP
  • SGI
  • Bull
  • HuaWei
  • Cray
  • Dawning Information Industry
  • Inspur
  • Dell
  • NUDT
  • Fujitsu
  • Lenovo
  • IBM
  • Hewlett Packard Enterprise
Additional players considered in the study are as follows:
Nimbix (United States) , Penguin Computing (United States) , AXXE-L (Japan)
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Key Highlights of Report


May 2023 210 Pages 92 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Supercomputing as a Service Quantitative research analysis
Global Supercomputing as a Service Qualitative Industry Analysis
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Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Supercomputing as a Service Market are PEZY/Exascaler, Hitachi/Fujitsu, Microsoft, HP, SGI, Bull, HuaWei, Cray, Dawning Information Industry, Inspur, Dell, NUDT, Fujitsu, Lenovo, IBM and Hewlett Packard Enterprise etc.
Life Sciences segment in Global market to hold robust market share owing to "Increased investments in the R&D of supercomputers by significant companies ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Supercomputing as a Service market throughout the forecasted period.

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