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DUBLIN, Jan. 9, 2020 /PRNewswire/ -- 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 ResearchAndMarkets.com's offering.

This report evaluates the HPC market including companies, solutions, use cases, and applications. 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.

However, 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.

In fact, HPCaaS is poised to become much more commonly available, partially due to new on-demand supercomputer service offerings, and in part as a result of emerging AI-based tools for engineers. Accordingly, 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 a recent study, we conducted interviews with major players in the market as well as smaller, lesser known companies that are believed to be influential in terms of innovative solutions that are likely to drive adoption and usage of both cluster-based HPC and supercomputing.

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.

Stated differently, the market for HPC as a Service (e.g. access to high-performance computing services) currently suffers from problems related to the utilization, scheduling, and set-up time to run jobs on a supercomputer. We identified start-ups and small companies working to solve these problems.

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 MSB.ai), 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 Summary1.1 Companies in Report1.2 Target Audience1.3 Methodology

2 Introduction2.1 Next Generation Computing2.2 High Performance Computing2.2.1 HPC Technology2.2.1.1 Supercomputers2.2.1.2 Computer Clustering2.2.2 Exascale Computation2.2.2.1 United States2.2.2.2 China2.2.2.3 Europe2.2.2.4 Japan2.2.2.5 India2.2.2.6 Taiwan2.2.3 High Performance Technical Computing2.2.4 Market Segmentation Considerations2.2.4.1 Government, NGOs, and Universities2.2.4.2 Small Companies and Middle Market2.2.5 Use Cases and Application Areas2.2.5.1 Computer Aided Engineering2.2.5.2 Government2.2.5.3 Financial Services2.2.5.4 Education and Research2.2.5.5 Manufacturing2.2.5.6 Media and Entertainment2.2.5.7 Electronic Design Automation2.2.5.8 Bio-Sciences and Healthcare2.2.5.9 Energy Management and Utilities2.2.5.10 Earth Science2.2.6 Regulatory Framework2.2.7 Value Chain Analysis2.2.8 AI to Drive HPC Performance and Adoption

3 High Performance Computing Market Analysis and Forecast 2020-20253.1 Global High Performance Computing Market 2020-20253.1.1 Total High Performance Computing Market 2020-20253.1.2 High Performance Computing Market by Component 2020-20253.1.2.1 High Performance Computing Market by Hardware and Infrastructure Type 2020-20253.1.2.1.1 High Performance Computing Market by Server Type 2020-20253.1.2.2 High Performance Computing Market by Software and System Type 2020-20253.1.2.3 High Performance Computing Market by Professional Service Type 2020-20253.1.3 High Performance Computing Market by Deployment Type 2020-20253.1.4 High Performance Computing Market by Organization Size 2020-20253.1.5 High Performance Computing Market by Server Price Band 2020-20253.1.6 High Performance Computing Market by Application Type 2020-20253.1.6.1 High Performance Technical Computing Market by Industry Vertical 2020-20253.1.6.2 Critical High Performance Business Computing Market by Industry Vertical 2020-20253.1.1 High Performance Computing Deployment Options: Supercomputer vs. Clustering 2020-20253.1.2 High Performance Computing as a Service (HPCaaS) 2020-20253.1.3 AI Powered High Performance Computing Market3.1.3.1 AI Powered High Performance Computing Market by Component3.1.3.2 AI Powered High Performance Computing Market by AI Technology3.2 Regional High Performance Computing Market 2020-20253.3 Exascale Computing Market 2020-20253.3.1 Exascale Computing Driven HPC Market by Component 2020-20253.3.2 Exascale Computing Driven HPC Market by Hardware Type 2020-20253.3.3 Exascale Computing Driven HPC Market by Service Type 2020-20253.3.4 Exascale Computing Driven HPC Market by Industry Vertical 2020-20253.3.1 Exascale Computing as a Service 2020-2025

4 High Performance Computing Company Analysis4.1 HPC Vendor Ecosystem4.2 Leading HPC Companies4.2.1 Amazon Web Services Inc.4.2.2 Atos SE4.2.3 Adavnced Micro Devices Inc.4.2.4 Cisco Systems4.2.5 DELL Technologies Inc.4.2.6 Fujitsu Ltd.4.2.7 Hewlett Packard Enterprise (HPE)4.2.8 IBM Corporation4.2.9 Intel Corporation4.2.10 Microsoft Corporation4.2.11 NEC Corporation4.2.12 NVIDIA4.2.13 Rackspace Inc.4.1 Companies to Watch4.1.1 Braket Inc.4.1.1 MicroSurgeonBot Inc. (MSB.ai)

5 Conclusions and Recommendations5.1 AI to Support Adoption and Usage of HPC5.2 5G and 6G to Drive Increased Demand for HPC

6 Appendix: Future of Computing6.1 Quantum Computing6.1.1 Quantum Computing Technology6.1.2 Quantum Computing Considerations6.1.3 Market Challenges and Opportunities6.1.4 Recent Developments6.1.5 Quantum Computing Value Chain6.1.6 Quantum Computing Applications6.1.7 Competitive Landscape6.1.8 Government Investment in Quantum Computing6.1.9 Quantum Computing Stakeholders by Country6.1 Other Future Computing Technologies6.1.1 Swarm Computing6.1.2 Neuromorphic Computing6.1.3 Biocomputing6.2 Market Drivers for Future Computing Technologies6.2.1 Efficient Computation and High Speed Storage6.2.2 Government and Private Initiatives6.2.3 Flexible Computing6.2.4 AI-enabled, High Performance Embedded Devices, Chipsets, and ICs6.2.5 Cost Effective Computing powered by Pay-as-you-go Model6.3 Future Computing Market Challenges6.3.1 Data Security Concerns in Virtualized and Distributed Cloud6.3.2 Funding Constrains R&D Activities6.3.3 Lack of Skilled Professionals across the Sector6.3.4 Absence of Uniformity among NGC Branches including Data Format

For more information about this report visit https://www.researchandmarkets.com/r/xa4mit

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