The Global Market for High Performance Computing (HPC) 2020-2025 - Covering Unserved and Underserved Markets and Submarkets -

The "High Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Types, Industry Verticals, and Regions 2020 - 2025" report has been added to's offering.

This report evaluates the HPC market including companies, solutions, use cases, and applications. The analysis includes HPC by organizational size, software and system type, server type, and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC. It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical.

High Performance Computing (HPC) may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation such as certain financial services, simulations, and various R&D initiatives.

The market is currently dominated on the demand side by large corporations, universities, and government institutions by way of capabilities that are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc.

Companies Mentioned

  • Advanced Micro Devices Inc.
  • Amazon Web Services Inc.
  • Atos SE
  • Braket, Inc.
  • Cisco Systems
  • Cray
  • DELL Technologies Inc.
  • Fujitsu Ltd
  • Hewlett Packard Enterprise
  • IBM Corporation
  • Inspur
  • Intel Corporation
  • Lenovo
  • Microsoft Corporation
  • Microsurgeonbot, Inc. (
  • NEC Corporation
  • Penguin Computing
  • Rackspace Inc.
  • Sugon

The cloud-computing based as a Service model allows HPC market offerings to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.

Up to 45% of revenue will be directly attributable to the cloud-based business model via HPCaaS, which makes High-Performance Computing solutions available to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems.

In an effort to identify growth opportunities for the HPC market, we investigated market gaps including unserved and underserved markets and submarkets. The research and advisory firm uncovered a market situation in which HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps.

One of the challenge areas identified is low utilization but (ironically) also high wait times for most supercomputers. Scheduling can be a challenge in terms of workload time estimation. About 20% of jobs are computationally heavy 30% of jobs cannot be defined very well in terms of how long jobs will take (within 3-minute window at best). In many instances, users request substantive resources and don't actually use computing time.

In addition to the scheduling challenge, we also identified a company focused on solving additional problems such as computational planning and engineering. We spoke with the principal of a little-known company called Microsurgeonbot, Inc. (doing business as, which is developing a tool for setting up computing jobs for supercomputers.

The company is working to solve major obstacles in accessibility and usability for HPC resources. The company focuses on solving a very important problem in HPC: Supercomputer job set-up and skills gap. Their solution known as "Guru" is poised to make supercomputing much more accessible, especially to engineers in small to medium-sized businesses that do not have the same resources or expertise as large corporate entities.

Key Topics Covered:

1 Executive Summary

1.1 Companies in Report

1.2 Target Audience

1.3 Methodology

2 Introduction

2.1 Next Generation Computing

2.2 High Performance Computing

2.2.1 HPC Technology Supercomputers Computer Clustering

2.2.2 Exascale Computation United States China Europe Japan India Taiwan

2.2.3 High Performance Technical Computing

2.2.4 Market Segmentation Considerations Government, NGOs, and Universities Small Companies and Middle Market

2.2.5 Use Cases and Application Areas Computer Aided Engineering Government Financial Services Education and Research Manufacturing Media and Entertainment Electronic Design Automation Bio-Sciences and Healthcare Energy Management and Utilities Earth Science

2.2.6 Regulatory Framework

2.2.7 Value Chain Analysis

2.2.8 AI to Drive HPC Performance and Adoption

3 High Performance Computing Market Analysis and Forecast 2020 - 2025

3.1 Global High Performance Computing Market 2020 - 2025

3.2 Regional High Performance Computing Market 2020 - 2025

3.3 Exascale Computing Market 2020 - 2025

4 High Performance Computing Company Analysis

5 Conclusions and Recommendations

5.1 AI to Support Adoption and Usage of HPC

5.2 5G and 6G to Drive Increased Demand for HPC

6 Appendix: Future of Computing

6.1 Quantum Computing

6.2 Market Drivers for Future Computing Technologies

6.3 Future Computing Market Challenges

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