Global High Performance Computing (HPC) Market 2019-2024 by Component, Infrastructure, Services, Price Band, HPC Applications, & Deployment Type – ResearchAndMarkets.com – Press Release




DUBLIN–(Business Wire)–The “High
Performance Computing (HPC) Market by Component, Infrastructure,
Services, Price Band, HPC Applications, Deployment Type, and Region
2019-2024”
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. The
report provides HPC market sizing by component, hardware type, service
type, and industry vertical from 2019 to 2024.

High Performance Computing (HPC) refers to high speed computation, which
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 and analysis such as high frequency
trading, autonomous vehicles, genomics-based personalized medicine,
computer-aided design, deep learning, and more. Specific examples
include computational fluid dynamics, simulation, modeling, and seismic
tomography.

No longer solely the realm of supercomputers, HPC is increasingly
provided via cluster computing. By way of example, Hewlett Packard
Enterprise (HPE) 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.

HPC capabilities 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 capabilities 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.

Today, HPC is universally associated with classical computing. While
quantum computing does not utilize a faster clock-speed than classical
computing, it is much faster than traditional computing infrastructure
for solving certain problems as quantum computers can handle
exponentially larger data sets. Accordingly, quantum computing is
well-positioned to support certain industry verticals and solve certain
problems such as cybersecurity and cryptocurrencies that rely upon prime
factoring. Current classical computing technologies would take an
inordinate amount of time to break-down prime factors to support
cryptology and blockchain technology.

Due to the limitations of quantum computing, and the evolution of HPC,
we see a future in which hybrid systems utilize both quantum and
classical CPUs on the same computing platform. These next generation
computing systems will provide the best of both worlds – high speed
general purpose computing combined with use case specific
ultra-performance for certain tasks that will remain outside the range
of binary computation for the foreseeable future. Mind Commerce sees a
future of quantum and classical CPUs on the same computing platform,
which will lead to a combined general purpose and use case specific
computation solution that will solve many industry problems in a more
scalable and economic manner.

Key Topics Covered:

1 Executive Summary

2 Introduction

2.1 Next Generation Computing

2.2 High Performance Computing

2.2.1 HPC Technology

2.2.1.1 Supercomputers

2.2.1.2 Computer Clustering

2.2.2 Exascale Computation

2.2.2.1 United States

2.2.2.2 China

2.2.2.3 Europe

2.2.2.4 Japan

2.2.2.5 India

2.2.2.6 Taiwan

2.2.3 High Performance Technical Computing

2.2.4 Market Segmentation Considerations

2.2.5 Use Cases and Application Areas

2.2.5.1 Computer Aided Engineering

2.2.5.2 Government

2.2.5.3 Financial Services

2.2.5.4 Education and Research

2.2.5.5 Manufacturing

2.2.5.6 Media and Entertainment

2.2.5.7 Electronic Design Automation

2.2.5.8 Bio-Sciences and Healthcare

2.2.5.9 Energy Management and Utilities

2.2.5.10 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

3.1 Global High Performance Computing Market 2019 – 2024

3.1.1 Total High Performance Computing Market

3.1.2 High Performance Computing Market by Component

3.1.2.1 High Performance Computing Market by Hardware and Infrastructure
Type

3.1.2.1.1 High Performance Computing Market by Server Type

3.1.2.2 High Performance Computing Market by Software and System Type

3.1.2.3 High Performance Computing Market by Professional Service Type

3.1.3 High Performance Computing Market by Deployment Type

3.1.4 High Performance Computing Market by Organization Size

3.1.5 High Performance Computing Market by Server Price Band

3.1.6 High Performance Computing Market by Application Type

3.1.6.1 High Performance Technical Computing Market by Industry Vertical

3.1.6.2 Critical High Performance Business Computing Market by Industry
Vertical

3.1.1 High Performance Computing Deployment Options: Supercomputer vs.
Clustering

3.1.2 High Performance Computing as a Service (HPCaaS)

3.1.3 AI Powered High Performance Computing Market

3.1.3.1 AI Powered High Performance Computing Market by Component

3.1.3.2 AI Powered High Performance Computing Market by AI Technology

3.2 Regional High Performance Computing Market 2019 – 2024

3.3 Exascale Computing Market

3.3.1 Exascale Computing Driven HPC Market by Component

3.3.2 Exascale Computing Driven HPC Market by Hardware Type

3.3.3 Exascale Computing Driven HPC Market by Service Type

3.3.4 Exascale Computing Driven HPC Market by Industry Vertical

3.3.1 Exascale Computing as a Service

4 High Performance Computing Company Analysis

4.1 HPC Vendor Ecosystem

4.2 Leading HPC Companies

4.2.1 Amazon Web Services Inc.

4.2.2 Atos SE

4.2.3 Advanced Micro Devices Inc.

4.2.4 Cisco Systems

4.2.5 DELL Technologies Inc.

4.2.6 Fujitsu Ltd

4.2.7 Hewlett Packard Enterprise

4.2.8 IBM Corporation

4.2.9 Intel Corporation

4.2.10 Microsoft Corporation

4.2.11 NEC Corporation

4.2.12 NVIDIA

4.2.13 Rackspace Inc.

5 Conclusions and Recommendations

6 Appendix: Future of Computing

6.1 Quantum Computing

6.1.1 Quantum Computing Technology

6.1.2 Quantum Computing Considerations

6.1.3 Market Challenges and Opportunities

6.1.4 Recent Developments

6.1.5 Quantum Computing Value Chain

6.1.6 Quantum Computing Applications

6.1.7 Competitive Landscape

6.1.8 Government Investment in Quantum Computing

6.1.9 Quantum Computing Stakeholders by Country

6.1 Other Future Computing Technologies

6.1.1 Swarm Computing

6.1.2 Neuromorphic Computing

6.1.3 Biocomputing

6.2 Market Drivers for Future Computing Technologies

6.2.1 Efficient Computation and High Speed Storage

6.2.2 Government and Private Initiatives

6.2.3 Flexible Computing

6.2.4 AI enabled, High Performance Embedded Devices, Chipsets, and ICs

6.2.5 Cost Effective Computing powered by Pay-as-you-go Model

6.3 Future Computing Market Challenges

6.3.1 Data Security Concerns in Virtualized and Distributed Cloud

6.3.2 Funding Constrains R&D Activities

6.3.3 Lack of Skilled Professionals across the Sector

6.3.4 Absence of Uniformity among NGC Branches including Data Format

For more information about this report visit https://www.researchandmarkets.com/research/3tgvjl/global_high?w=4

ResearchAndMarkets.com
Laura Wood, Senior Press Manager
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