DUBLIN--(BUSINESS WIRE)--The "High Performance Computing and Data as a Service Market by Technology, Computing Type, Deployment Model, Use Case, Application, Sector (Consumer, Enterprise, Industrial, Government), Industry Vertical, and Region 2019-2024" report has been added to ResearchAndMarkets.com's offering.
This research 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. It 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. It also provides HPC market sizing by component, hardware type, service type, and industry vertical from 2019 to 2024.
This research also evaluates the technologies, companies, strategies, and solutions for DaaS. It assesses business opportunities for enterprise use of own data, others data, and combination of both. It analyzes opportunities for enterprise to monetize their own data through various third-party DaaS offerings. It evaluates opportunities for DaaS in major industry verticals as well as the future outlook for emerging data monetization. Forecasts include global and regional projections by Sector, Data Collection, Source, and Structure from 2019 to 2024.
Market Summary & Insights
No longer solely the realm of supercomputers, the high-performance computing market is increasingly provided via cluster computing. By way of example, Hewlett Packard Enterprise provides a computational clustering solution in conjunction with Intel that represents HPC Infrastructure as a Service (IaaS). This particular HPC IaaS offering environment provides customized tenant clusters tailored to client and application requirements. Key to this particular solution is the intelligent use of APIs, which enable a high degree of flexibility and what HPE refers to as Dynamic Fabric Configuration.
These type of solutions, provided within a cloud-computing based as a Service model, allow 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.
HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps. Stated differently, the market for HPCaaS (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 supercomputers. Some companies are leveraging artificial intelligence (AI) to improve HPC scheduling. As supercomputing resources are typically scarce and expensive, scheduling is important to ensure optimal computational workload scheduling. One company, Microsurgeonbot, Inc. (doing business as MSB.ai), which is developing a tool for setting up computing jobs for supercomputers. There is clearly a very long tail opportunity in HPC through Use of AI tools. HPCaaS will reach scale only through greater supercomputer accessibility.
Data produced by HPC is often difficult to use or even useless at times. Data needs to be managed and presented in a manner that is useful as information. Data as a Service (DaaS) represents a service model in which data is transformed into useful information. DaaS is one part of the larger Everything as a Service (XaaS) cloud computing based services model, including the traditional three horizontals of SaaS (Software as a Service), PaaS (Platform as a Service), and IaaS (Infrastructure as a Service). It intersects with all three and derives value from a number of different horizontals and verticals.
Vendor managed DaaS systems provide necessary scalability and security for sustainable services execution. DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards XaaS. In addition to leveraging big data analytics, another approach to transform data into useful information is through the use of AI. One of the important growth areas for the DaaS market is to leverage AI to offer value-added data in a Decisions as a Service model.
Companies Mentioned
- Advanced Micro Devices Inc.
- Amazon Web Services Inc.
- Atos SE
- Cisco Systems
- DELL Technologies Inc.
- Fujitsu Ltd.
- Hewlett Packard Enterprise
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- NEC Corporation
- NVIDIA
- Rackspace Inc.
Key Topics Covered
High-Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Type, and Region 2019-2024
1. Executive Summary
2. Introduction
3. High-Performance Computing Market Analysis and Forecast
4. High-Performance Computing Company Analysis
5. Conclusions and Recommendations
6. Appendix: Future of Computing
Data as a Service (DaaS) Market: Enterprise, Industrial, Public, and Government DaaS 2019-2024
1. Executive Summary
2. Data as a Service Technologies
3. Data as a Service Market
4. Data as a Service Strategies
5. Data as a Service Applications
6. Market Outlook and Future of Data as a Service
7. Data as a Service Market Analysis and Forecasts 2019-2024
8. Regional DaaS Market Analysis and Forecasts 2019-2024
9. Conclusions and Recommendations
10. Appendix
For more information about this report visit https://www.researchandmarkets.com/r/2vec7s
