Global High Performance Computing research

High Performance Computing Comprehensive Study by Type (Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices}, Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management}, Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing}), Application (High Performance Technical Computing {Government, Chemical, Bio-Science, University /Academic Large Product Manufacturing, Others}, High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others}), Deployment Mode (On-Premises, Cloud), Organization Size (Small and Medium-Sized Enterprises, Large Enterprises) Players and Region - Global Market Outlook to 2028

High Performance Computing Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 7.23%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About High Performance Computing
High performance computing consist of cluster of computers that can run long algorithms and solve out complex problems and equation at an accuracies and speeds which is higher than the conventional computing. High performance computing market is expected to mark significant growth over forecasted period owing to increasing consumers spending on government and defense agencies, educational and research institutions, and incumbents of manufacturing industry, among others and technological advancement. The major companies are adding more proven technologies systematically and strategically in Asia-Pacific countries as these countries are focused on fastest-growing verticals in the IT Sector.

AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketAsia Pacific
UnitValue (USD Billion)
CAGR7.23%


The HPC market is expected to continue to grow steadily in the coming years, driven by the increasing demand for computational power across various industries and the continuous development of innovative solutions. Staying up-to-date on the latest trends and developments is crucial for companies to succeed in this competitive and rapidly evolving landscape. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

AMD (United States), Atos (France), AWS (United States), Cisco Systems (United States), Cray (United States), DDN (United States), Dell (United States), Fujitsu (Japan), Hitachi Vantara (United States), HPE (United States) and Huawei (China) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are IBM (United States), Inspur (China), Intel (United States), Lenovo (United States), Microsoft (United States), NEC (Japan) and NetApp (United States).

Segmentation Overview
AMA Research has segmented the market of Global High Performance Computing market by Type (Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices}, Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management} and Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing}), Application (High Performance Technical Computing {Government, Chemical, Bio-Science, University /Academic Large Product Manufacturing, Others} and High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others}) and Region.



On the basis of geography, the market of High Performance Computing 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). North America region held largest market share in the year 2022. Europe, on the other hand, stood as the second largest market due to the presence of key companies in the region and high technological advancement. If we see Market by Deployment Mode, the sub-segment i.e. On-Premises will boost the High Performance Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Organization Size, the sub-segment i.e. Small and Medium-Sized Enterprises will boost the High Performance Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Increasing Demand at Large Scale Industries

Market Growth Drivers:
Increase Demand of Efficient Computing, Enhanced Scalability, and Reliable Storage Boost the Market and Rapid Adoption of HPC in the Cloud Fuelled up the High-Performance Computing Market

Challenges:
Limitation on Government Regulation are Anticipated to Challenge the Market and Lack of Knowledge limited Budget Fluctuate among the Small and Medium Scale Enterprises

Restraints:
Data Security Risk Hampers the High-Performance Computing Market and Fluctuation in CAPEX and OPEX Restrain the Market

Opportunities:
The proliferation of High-Speed Data with Accuracy and Speed Leads to Grow the Market and Upsurge Demand of High-Speed Hybrid HPC Solutions

Market Leaders and their expansionary development strategies
March 21, 2022: AMD and Pensando Systems announce a strategic partnership to develop next-generation data center solutions, including HPC.
On August 10, 2022: Inspur launches its latest generation of NR series servers, targeting HPC and cloud computing applications.


Key Target Audience
High Performance Computing Manufacturers, High Performance Computing Traders, End-Use Market Participants of Different Segments of High Performance Computing, Government and Research Organizations, R&D Institutions and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

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, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices}
  • Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management}
  • Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing}
By Application
  • High Performance Technical Computing {Government, Chemical
  • Bio-Science, University /Academic Large Product Manufacturing, Others}
  • High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others}
By Deployment Mode
  • On-Premises
  • Cloud

By Organization Size
  • Small and Medium-Sized Enterprises
  • Large Enterprises

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 Demand of Efficient Computing, Enhanced Scalability, and Reliable Storage Boost the Market
      • 3.2.2. Rapid Adoption of HPC in the Cloud Fuelled up the High-Performance Computing Market
    • 3.3. Market Challenges
      • 3.3.1. Limitation on Government Regulation are Anticipated to Challenge the Market
      • 3.3.2. Lack of Knowledge limited Budget Fluctuate among the Small and Medium Scale Enterprises
    • 3.4. Market Trends
      • 3.4.1. Increasing Demand at Large Scale Industries
  • 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 High Performance Computing, by Type, Application, Deployment Mode, Organization Size and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global High Performance Computing (Value)
      • 5.2.1. Global High Performance Computing by: Type (Value)
        • 5.2.1.1. Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices}
        • 5.2.1.2. Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management}
        • 5.2.1.3. Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing}
      • 5.2.2. Global High Performance Computing by: Application (Value)
        • 5.2.2.1. High Performance Technical Computing {Government, Chemical
        • 5.2.2.2. Bio-Science, University /Academic Large Product Manufacturing, Others}
        • 5.2.2.3. High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others}
      • 5.2.3. Global High Performance Computing by: Deployment Mode (Value)
        • 5.2.3.1. On-Premises
        • 5.2.3.2. Cloud
      • 5.2.4. Global High Performance Computing by: Organization Size (Value)
        • 5.2.4.1. Small and Medium-Sized Enterprises
        • 5.2.4.2. Large Enterprises
      • 5.2.5. Global High Performance Computing 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
    • 5.3. Global High Performance Computing (Price)
      • 5.3.1. Global High Performance Computing by: Type (Price)
  • 6. High Performance Computing: 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. AMD (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. Atos (France)
        • 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. AWS (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. Cisco Systems (United States)
        • 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. Cray (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. DDN (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. Dell (United States)
        • 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. Fujitsu (Japan)
        • 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. Hitachi Vantara (United States)
        • 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. HPE (United States)
        • 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. Huawei (China)
        • 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
  • 7. Global High Performance Computing Sale, by Type, Application, Deployment Mode, Organization Size and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global High Performance Computing (Value)
      • 7.2.1. Global High Performance Computing by: Type (Value)
        • 7.2.1.1. Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices}
        • 7.2.1.2. Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management}
        • 7.2.1.3. Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing}
      • 7.2.2. Global High Performance Computing by: Application (Value)
        • 7.2.2.1. High Performance Technical Computing {Government, Chemical
        • 7.2.2.2. Bio-Science, University /Academic Large Product Manufacturing, Others}
        • 7.2.2.3. High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others}
      • 7.2.3. Global High Performance Computing by: Deployment Mode (Value)
        • 7.2.3.1. On-Premises
        • 7.2.3.2. Cloud
      • 7.2.4. Global High Performance Computing by: Organization Size (Value)
        • 7.2.4.1. Small and Medium-Sized Enterprises
        • 7.2.4.2. Large Enterprises
      • 7.2.5. Global High Performance Computing 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
    • 7.3. Global High Performance Computing (Price)
      • 7.3.1. Global High Performance Computing by: Type (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. High Performance Computing: by Type(USD Billion)
  • Table 2. High Performance Computing Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices} , by Region USD Billion (2017-2022)
  • Table 3. High Performance Computing Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management} , by Region USD Billion (2017-2022)
  • Table 4. High Performance Computing Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing} , by Region USD Billion (2017-2022)
  • Table 5. High Performance Computing: by Application(USD Billion)
  • Table 6. High Performance Computing High Performance Technical Computing {Government, Chemical , by Region USD Billion (2017-2022)
  • Table 7. High Performance Computing Bio-Science, University /Academic Large Product Manufacturing, Others} , by Region USD Billion (2017-2022)
  • Table 8. High Performance Computing High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others} , by Region USD Billion (2017-2022)
  • Table 9. High Performance Computing: by Deployment Mode(USD Billion)
  • Table 10. High Performance Computing On-Premises , by Region USD Billion (2017-2022)
  • Table 11. High Performance Computing Cloud , by Region USD Billion (2017-2022)
  • Table 12. High Performance Computing: by Organization Size(USD Billion)
  • Table 13. High Performance Computing Small and Medium-Sized Enterprises , by Region USD Billion (2017-2022)
  • Table 14. High Performance Computing Large Enterprises , by Region USD Billion (2017-2022)
  • Table 15. South America High Performance Computing, by Country USD Billion (2017-2022)
  • Table 16. South America High Performance Computing, by Type USD Billion (2017-2022)
  • Table 17. South America High Performance Computing, by Application USD Billion (2017-2022)
  • Table 18. South America High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 19. South America High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 20. Brazil High Performance Computing, by Type USD Billion (2017-2022)
  • Table 21. Brazil High Performance Computing, by Application USD Billion (2017-2022)
  • Table 22. Brazil High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 23. Brazil High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 24. Argentina High Performance Computing, by Type USD Billion (2017-2022)
  • Table 25. Argentina High Performance Computing, by Application USD Billion (2017-2022)
  • Table 26. Argentina High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 27. Argentina High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 28. Rest of South America High Performance Computing, by Type USD Billion (2017-2022)
  • Table 29. Rest of South America High Performance Computing, by Application USD Billion (2017-2022)
  • Table 30. Rest of South America High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 31. Rest of South America High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 32. Asia Pacific High Performance Computing, by Country USD Billion (2017-2022)
  • Table 33. Asia Pacific High Performance Computing, by Type USD Billion (2017-2022)
  • Table 34. Asia Pacific High Performance Computing, by Application USD Billion (2017-2022)
  • Table 35. Asia Pacific High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 36. Asia Pacific High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 37. China High Performance Computing, by Type USD Billion (2017-2022)
  • Table 38. China High Performance Computing, by Application USD Billion (2017-2022)
  • Table 39. China High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 40. China High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 41. Japan High Performance Computing, by Type USD Billion (2017-2022)
  • Table 42. Japan High Performance Computing, by Application USD Billion (2017-2022)
  • Table 43. Japan High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 44. Japan High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 45. India High Performance Computing, by Type USD Billion (2017-2022)
  • Table 46. India High Performance Computing, by Application USD Billion (2017-2022)
  • Table 47. India High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 48. India High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 49. South Korea High Performance Computing, by Type USD Billion (2017-2022)
  • Table 50. South Korea High Performance Computing, by Application USD Billion (2017-2022)
  • Table 51. South Korea High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 52. South Korea High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 53. Taiwan High Performance Computing, by Type USD Billion (2017-2022)
  • Table 54. Taiwan High Performance Computing, by Application USD Billion (2017-2022)
  • Table 55. Taiwan High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 56. Taiwan High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 57. Australia High Performance Computing, by Type USD Billion (2017-2022)
  • Table 58. Australia High Performance Computing, by Application USD Billion (2017-2022)
  • Table 59. Australia High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 60. Australia High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 61. Rest of Asia-Pacific High Performance Computing, by Type USD Billion (2017-2022)
  • Table 62. Rest of Asia-Pacific High Performance Computing, by Application USD Billion (2017-2022)
  • Table 63. Rest of Asia-Pacific High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 64. Rest of Asia-Pacific High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 65. Europe High Performance Computing, by Country USD Billion (2017-2022)
  • Table 66. Europe High Performance Computing, by Type USD Billion (2017-2022)
  • Table 67. Europe High Performance Computing, by Application USD Billion (2017-2022)
  • Table 68. Europe High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 69. Europe High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 70. Germany High Performance Computing, by Type USD Billion (2017-2022)
  • Table 71. Germany High Performance Computing, by Application USD Billion (2017-2022)
  • Table 72. Germany High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 73. Germany High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 74. France High Performance Computing, by Type USD Billion (2017-2022)
  • Table 75. France High Performance Computing, by Application USD Billion (2017-2022)
  • Table 76. France High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 77. France High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 78. Italy High Performance Computing, by Type USD Billion (2017-2022)
  • Table 79. Italy High Performance Computing, by Application USD Billion (2017-2022)
  • Table 80. Italy High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 81. Italy High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 82. United Kingdom High Performance Computing, by Type USD Billion (2017-2022)
  • Table 83. United Kingdom High Performance Computing, by Application USD Billion (2017-2022)
  • Table 84. United Kingdom High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 85. United Kingdom High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 86. Netherlands High Performance Computing, by Type USD Billion (2017-2022)
  • Table 87. Netherlands High Performance Computing, by Application USD Billion (2017-2022)
  • Table 88. Netherlands High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 89. Netherlands High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 90. Rest of Europe High Performance Computing, by Type USD Billion (2017-2022)
  • Table 91. Rest of Europe High Performance Computing, by Application USD Billion (2017-2022)
  • Table 92. Rest of Europe High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 93. Rest of Europe High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 94. MEA High Performance Computing, by Country USD Billion (2017-2022)
  • Table 95. MEA High Performance Computing, by Type USD Billion (2017-2022)
  • Table 96. MEA High Performance Computing, by Application USD Billion (2017-2022)
  • Table 97. MEA High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 98. MEA High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 99. Middle East High Performance Computing, by Type USD Billion (2017-2022)
  • Table 100. Middle East High Performance Computing, by Application USD Billion (2017-2022)
  • Table 101. Middle East High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 102. Middle East High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 103. Africa High Performance Computing, by Type USD Billion (2017-2022)
  • Table 104. Africa High Performance Computing, by Application USD Billion (2017-2022)
  • Table 105. Africa High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 106. Africa High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 107. North America High Performance Computing, by Country USD Billion (2017-2022)
  • Table 108. North America High Performance Computing, by Type USD Billion (2017-2022)
  • Table 109. North America High Performance Computing, by Application USD Billion (2017-2022)
  • Table 110. North America High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 111. North America High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 112. United States High Performance Computing, by Type USD Billion (2017-2022)
  • Table 113. United States High Performance Computing, by Application USD Billion (2017-2022)
  • Table 114. United States High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 115. United States High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 116. Canada High Performance Computing, by Type USD Billion (2017-2022)
  • Table 117. Canada High Performance Computing, by Application USD Billion (2017-2022)
  • Table 118. Canada High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 119. Canada High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 120. Mexico High Performance Computing, by Type USD Billion (2017-2022)
  • Table 121. Mexico High Performance Computing, by Application USD Billion (2017-2022)
  • Table 122. Mexico High Performance Computing, by Deployment Mode USD Billion (2017-2022)
  • Table 123. Mexico High Performance Computing, by Organization Size USD Billion (2017-2022)
  • Table 124. High Performance Computing: by Type(USD/Units)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • 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. High Performance Computing: by Type(USD Billion)
  • Table 137. High Performance Computing Hardware and Architecture {Memory Capacity, Energy Management ,Server, Network Devices} , by Region USD Billion (2023-2028)
  • Table 138. High Performance Computing Software and system Management {Middle ware, Programming Tools, Performance Optimization Tools, Cluster Management, Fabric Management} , by Region USD Billion (2023-2028)
  • Table 139. High Performance Computing Professional Services {Design and Consulting , Integration and Deployment, Training and Outsourcing} , by Region USD Billion (2023-2028)
  • Table 140. High Performance Computing: by Application(USD Billion)
  • Table 141. High Performance Computing High Performance Technical Computing {Government, Chemical , by Region USD Billion (2023-2028)
  • Table 142. High Performance Computing Bio-Science, University /Academic Large Product Manufacturing, Others} , by Region USD Billion (2023-2028)
  • Table 143. High Performance Computing High Performance Business Computing {Retail, Financial Service, Ultra scale Internet, Transportation, Others} , by Region USD Billion (2023-2028)
  • Table 144. High Performance Computing: by Deployment Mode(USD Billion)
  • Table 145. High Performance Computing On-Premises , by Region USD Billion (2023-2028)
  • Table 146. High Performance Computing Cloud , by Region USD Billion (2023-2028)
  • Table 147. High Performance Computing: by Organization Size(USD Billion)
  • Table 148. High Performance Computing Small and Medium-Sized Enterprises , by Region USD Billion (2023-2028)
  • Table 149. High Performance Computing Large Enterprises , by Region USD Billion (2023-2028)
  • Table 150. South America High Performance Computing, by Country USD Billion (2023-2028)
  • Table 151. South America High Performance Computing, by Type USD Billion (2023-2028)
  • Table 152. South America High Performance Computing, by Application USD Billion (2023-2028)
  • Table 153. South America High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 154. South America High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 155. Brazil High Performance Computing, by Type USD Billion (2023-2028)
  • Table 156. Brazil High Performance Computing, by Application USD Billion (2023-2028)
  • Table 157. Brazil High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 158. Brazil High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 159. Argentina High Performance Computing, by Type USD Billion (2023-2028)
  • Table 160. Argentina High Performance Computing, by Application USD Billion (2023-2028)
  • Table 161. Argentina High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 162. Argentina High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 163. Rest of South America High Performance Computing, by Type USD Billion (2023-2028)
  • Table 164. Rest of South America High Performance Computing, by Application USD Billion (2023-2028)
  • Table 165. Rest of South America High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 166. Rest of South America High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 167. Asia Pacific High Performance Computing, by Country USD Billion (2023-2028)
  • Table 168. Asia Pacific High Performance Computing, by Type USD Billion (2023-2028)
  • Table 169. Asia Pacific High Performance Computing, by Application USD Billion (2023-2028)
  • Table 170. Asia Pacific High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 171. Asia Pacific High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 172. China High Performance Computing, by Type USD Billion (2023-2028)
  • Table 173. China High Performance Computing, by Application USD Billion (2023-2028)
  • Table 174. China High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 175. China High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 176. Japan High Performance Computing, by Type USD Billion (2023-2028)
  • Table 177. Japan High Performance Computing, by Application USD Billion (2023-2028)
  • Table 178. Japan High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 179. Japan High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 180. India High Performance Computing, by Type USD Billion (2023-2028)
  • Table 181. India High Performance Computing, by Application USD Billion (2023-2028)
  • Table 182. India High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 183. India High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 184. South Korea High Performance Computing, by Type USD Billion (2023-2028)
  • Table 185. South Korea High Performance Computing, by Application USD Billion (2023-2028)
  • Table 186. South Korea High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 187. South Korea High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 188. Taiwan High Performance Computing, by Type USD Billion (2023-2028)
  • Table 189. Taiwan High Performance Computing, by Application USD Billion (2023-2028)
  • Table 190. Taiwan High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 191. Taiwan High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 192. Australia High Performance Computing, by Type USD Billion (2023-2028)
  • Table 193. Australia High Performance Computing, by Application USD Billion (2023-2028)
  • Table 194. Australia High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 195. Australia High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 196. Rest of Asia-Pacific High Performance Computing, by Type USD Billion (2023-2028)
  • Table 197. Rest of Asia-Pacific High Performance Computing, by Application USD Billion (2023-2028)
  • Table 198. Rest of Asia-Pacific High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 199. Rest of Asia-Pacific High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 200. Europe High Performance Computing, by Country USD Billion (2023-2028)
  • Table 201. Europe High Performance Computing, by Type USD Billion (2023-2028)
  • Table 202. Europe High Performance Computing, by Application USD Billion (2023-2028)
  • Table 203. Europe High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 204. Europe High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 205. Germany High Performance Computing, by Type USD Billion (2023-2028)
  • Table 206. Germany High Performance Computing, by Application USD Billion (2023-2028)
  • Table 207. Germany High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 208. Germany High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 209. France High Performance Computing, by Type USD Billion (2023-2028)
  • Table 210. France High Performance Computing, by Application USD Billion (2023-2028)
  • Table 211. France High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 212. France High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 213. Italy High Performance Computing, by Type USD Billion (2023-2028)
  • Table 214. Italy High Performance Computing, by Application USD Billion (2023-2028)
  • Table 215. Italy High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 216. Italy High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 217. United Kingdom High Performance Computing, by Type USD Billion (2023-2028)
  • Table 218. United Kingdom High Performance Computing, by Application USD Billion (2023-2028)
  • Table 219. United Kingdom High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 220. United Kingdom High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 221. Netherlands High Performance Computing, by Type USD Billion (2023-2028)
  • Table 222. Netherlands High Performance Computing, by Application USD Billion (2023-2028)
  • Table 223. Netherlands High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 224. Netherlands High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 225. Rest of Europe High Performance Computing, by Type USD Billion (2023-2028)
  • Table 226. Rest of Europe High Performance Computing, by Application USD Billion (2023-2028)
  • Table 227. Rest of Europe High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 228. Rest of Europe High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 229. MEA High Performance Computing, by Country USD Billion (2023-2028)
  • Table 230. MEA High Performance Computing, by Type USD Billion (2023-2028)
  • Table 231. MEA High Performance Computing, by Application USD Billion (2023-2028)
  • Table 232. MEA High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 233. MEA High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 234. Middle East High Performance Computing, by Type USD Billion (2023-2028)
  • Table 235. Middle East High Performance Computing, by Application USD Billion (2023-2028)
  • Table 236. Middle East High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 237. Middle East High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 238. Africa High Performance Computing, by Type USD Billion (2023-2028)
  • Table 239. Africa High Performance Computing, by Application USD Billion (2023-2028)
  • Table 240. Africa High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 241. Africa High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 242. North America High Performance Computing, by Country USD Billion (2023-2028)
  • Table 243. North America High Performance Computing, by Type USD Billion (2023-2028)
  • Table 244. North America High Performance Computing, by Application USD Billion (2023-2028)
  • Table 245. North America High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 246. North America High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 247. United States High Performance Computing, by Type USD Billion (2023-2028)
  • Table 248. United States High Performance Computing, by Application USD Billion (2023-2028)
  • Table 249. United States High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 250. United States High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 251. Canada High Performance Computing, by Type USD Billion (2023-2028)
  • Table 252. Canada High Performance Computing, by Application USD Billion (2023-2028)
  • Table 253. Canada High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 254. Canada High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 255. Mexico High Performance Computing, by Type USD Billion (2023-2028)
  • Table 256. Mexico High Performance Computing, by Application USD Billion (2023-2028)
  • Table 257. Mexico High Performance Computing, by Deployment Mode USD Billion (2023-2028)
  • Table 258. Mexico High Performance Computing, by Organization Size USD Billion (2023-2028)
  • Table 259. High Performance Computing: by Type(USD/Units)
  • Table 260. Research Programs/Design for This Report
  • Table 261. Key Data Information from Secondary Sources
  • Table 262. 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 High Performance Computing: by Type USD Billion (2017-2022)
  • Figure 5. Global High Performance Computing: by Application USD Billion (2017-2022)
  • Figure 6. Global High Performance Computing: by Deployment Mode USD Billion (2017-2022)
  • Figure 7. Global High Performance Computing: by Organization Size USD Billion (2017-2022)
  • Figure 8. South America High Performance Computing Share (%), by Country
  • Figure 9. Asia Pacific High Performance Computing Share (%), by Country
  • Figure 10. Europe High Performance Computing Share (%), by Country
  • Figure 11. MEA High Performance Computing Share (%), by Country
  • Figure 12. North America High Performance Computing Share (%), by Country
  • Figure 13. Global High Performance Computing: by Type USD/Units (2017-2022)
  • Figure 14. Global High Performance Computing share by Players 2022 (%)
  • Figure 15. Global High Performance Computing share by Players (Top 3) 2022(%)
  • Figure 16. Global High Performance Computing share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. AMD (United States) Revenue, Net Income and Gross profit
  • Figure 19. AMD (United States) Revenue: by Geography 2022
  • Figure 20. Atos (France) Revenue, Net Income and Gross profit
  • Figure 21. Atos (France) Revenue: by Geography 2022
  • Figure 22. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 23. AWS (United States) Revenue: by Geography 2022
  • Figure 24. Cisco Systems (United States) Revenue, Net Income and Gross profit
  • Figure 25. Cisco Systems (United States) Revenue: by Geography 2022
  • Figure 26. Cray (United States) Revenue, Net Income and Gross profit
  • Figure 27. Cray (United States) Revenue: by Geography 2022
  • Figure 28. DDN (United States) Revenue, Net Income and Gross profit
  • Figure 29. DDN (United States) Revenue: by Geography 2022
  • Figure 30. Dell (United States) Revenue, Net Income and Gross profit
  • Figure 31. Dell (United States) Revenue: by Geography 2022
  • Figure 32. Fujitsu (Japan) Revenue, Net Income and Gross profit
  • Figure 33. Fujitsu (Japan) Revenue: by Geography 2022
  • Figure 34. Hitachi Vantara (United States) Revenue, Net Income and Gross profit
  • Figure 35. Hitachi Vantara (United States) Revenue: by Geography 2022
  • Figure 36. HPE (United States) Revenue, Net Income and Gross profit
  • Figure 37. HPE (United States) Revenue: by Geography 2022
  • Figure 38. Huawei (China) Revenue, Net Income and Gross profit
  • Figure 39. Huawei (China) Revenue: by Geography 2022
  • Figure 40. Global High Performance Computing: by Type USD Billion (2023-2028)
  • Figure 41. Global High Performance Computing: by Application USD Billion (2023-2028)
  • Figure 42. Global High Performance Computing: by Deployment Mode USD Billion (2023-2028)
  • Figure 43. Global High Performance Computing: by Organization Size USD Billion (2023-2028)
  • Figure 44. South America High Performance Computing Share (%), by Country
  • Figure 45. Asia Pacific High Performance Computing Share (%), by Country
  • Figure 46. Europe High Performance Computing Share (%), by Country
  • Figure 47. MEA High Performance Computing Share (%), by Country
  • Figure 48. North America High Performance Computing Share (%), by Country
  • Figure 49. Global High Performance Computing: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • AMD (United States)
  • Atos (France)
  • AWS (United States)
  • Cisco Systems (United States)
  • Cray (United States)
  • DDN (United States)
  • Dell (United States)
  • Fujitsu (Japan)
  • Hitachi Vantara (United States)
  • HPE (United States)
  • Huawei (China)
Additional players considered in the study are as follows:
IBM (United States) , Inspur (China) , Intel (United States) , Lenovo (United States) , Microsoft (United States) , NEC (Japan) , NetApp (United States)
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Mar 2024 244 Pages 90 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global High Performance Computing research Quantitative research analysis
Global High Performance Computing research Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as AMD (United States), Atos (France), AWS (United States), Cisco Systems (United States), Cray (United States), DDN (United States), Dell (United States), Fujitsu (Japan), Hitachi Vantara (United States), HPE (United States) and Huawei (China) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Increasing Demand at Large Scale Industries" is seen as one of major influencing trends for High Performance Computing Market during projected period 2022-2028.
The High Performance Computing market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates High Performance Computing Market to reach USD49.87 Billion by 2028.

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