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Global High-Performance Computing Market (2023-2028) Competitive Analysis, Impact of Covid-19, Ansoff Analysis

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    Report

  • 130 Pages
  • February 2024
  • Region: Global
  • Infogence Global Research
  • ID: 5820311

High-performance computing is growing due to the increased use of this technology in government sectors as well as in applications that require solving scientific, complex, and business problems

The Global High Performance Computing Market is estimated to be USD 37.99 Bn in 2023 and is expected to reach USD 57 Bn by 2028 growing at a CAGR of 8.45%..

High-Performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. It is the use of supercomputers and parallel processing techniques to solve complex computational problems that are too large or too complex to be solved by traditional computing methods. HPC is used for scientific discoveries, game-changing innovations, and to improve quality of life. It is a foundation for scientific & industrial advancements. It is used in technologies like IoT, AI, and 3D imaging evolves & amount of data that organizations use is increasing exponentially to increase the ability of a computer.

The increasing demand for faster and more efficient data processing in various industries, including the financial, medical, research, geological exploration and analysis, government, and defense sectors, is driving the growth of the HPC market. This demand is generated due to the need for high-accuracy and rapid data processing, achievable with HPC solutions. Additionally, the growing popularity of cloud computing and the increasing digitalization efforts undertaken by various governments contribute to the growth of the HPC market. This has led to a massive demand for HPC services.

Moreover, technology developments in mid-range supercomputing and HPC. The advancements in HPC have led to faster and more efficient computational capabilities, enabling scientists to analyze and simulate complex systems and systems at a higher level of detail. HPC has been on improving the performance of parallel computing, which involves dividing a problem into multiple parts and distributing the workload across multiple processors for simultaneous calculation. This has led to the development of new parallel architectures and algorithms that can take advantage of modern processors' increasing number of cores, creating market growth opportunities. However, HPC Systems exposes it to multiple potential security threats. Data privacy and security negatively hamper the market growth.

Market Segmentations

  • The Global High-Performance Computing Market is segmented based on Component, Computing Type, Deployment, Organization Size, Vertical, and Geography.
  • By Component, the market is classified into Services and Solutions.
  • The HPC service is expected to grow fastest in the upcoming year due to the increasing amount of complex data that businesses and institutions are dealing with. As the world becomes increasingly digitalized, more and more data is generated daily from social media, mobile devices, and the Internet of Things. This data needs to be processed and analyzed in real-time, and traditional computing systems may not be able to handle the data volume and complexity. Additionally, the rise of AI and ML has driven the need for HPC, as these technologies require large amounts of data to train and deploy models. HPC can process the data at scale and run models quickly to enable real-time decision-making.
  • By Computing Type, the market is classified into Parallel Computing, Distributed Computing, and Exascale Computing.
  • The Parallel Computing segment is predicted to hold the largest market share in the forecasting period. It refers to the use of multiple processors or cores to perform calculations simultaneously. In HPC, parallel computing is used to run multiple calculations at the same time, allowing for faster processing of large datasets. Parallel computing is used to increase computer performance and for scientific computing. With the development of technology and architecture, there is a strong demand for developing high-performing Applications. Experiments show that parallel computers can work much faster than an utmost developed single processor; hence its demand is increasing from various industries.
  • By Deployment, the market is classified into On-Cloud and On-Premises.
  • Due to the increasing demand for cloud-based services and solutions, the cloud segment is predicted to grow with the highest CAGR in the forecasting period. Cloud computing provides several benefits, such as cost-effectiveness, scalability, flexibility, and easy accessibility, attracting more and more users to cloud-based solutions. Cloud-based solutions offer SMEs access to advanced technologies and services previously only available to larger enterprises. This has increased competition in the cloud computing market, driving innovation and improving the quality of cloud-based solutions. Additionally, the increasing use of emerging technologies, such as artificial intelligence, the Internet of Things (IoT), and big data analytics, is driving the growth of the cloud segment.
  • By Organization Size, the market is classified into Small & Medium Sized Enterprises and Large Enterprises.
  • Small & Medium organizations hold the largest market share in upcoming years due to scaling computationally to build deep learning algorithms that can take advantage of high volumes of data. With more data comes larger computing needs with great performance specs. This leads to HPC. A small organization may have large amounts of data to process and analyze, such as a scientific research project or a startup's customer data. HPC allows multiple processes to be run in parallel, significantly reducing the time it takes to process and analyze large datasets. HPC can be used to ensure that critical components of such Applications can process high volumes of data with minimal latency. Due to such advantages, the demand for HPC in Small & Medium Sized Enterprises is increasing.
  • By Vertical, the market is classified into BFSI, Education & Research, Energy & Utilities, Gaming, Government & Defense, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, Retail & Consumer Goods, and Transportation.
  • The BFSI sector is predicted to hold the largest market share and grow with the highest CAGR in the forecasting period. High-Performance Computing (HPC) is a technology that enables the processing large and complex data sets at high speeds. The banking sector has been using HPC to improve its performance in several ways. For instance, HPC can enhance customer experience through data analytics by providing insights into trends related to customer behavior. Furthermore, Cloud computing is another technology that has made many things easier in the banking sector, like interoperability, secure storage, 24×7 uptime, etc. This advancement in the IT sector led to many drastic changes in how information is treated.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.
  • North America holds the largest market share. As the need for processing large amounts of data increases, the importance of robust security measures also grows, driving the adoption of cutting-edge technologies, such as HPC systems. Major corporations and SMEs, such as Boeing and General Motors, increasingly adopt HPC systems to overcome technical challenges. The Asia-Pacific region is expected to experience the highest growth in HPC systems due to their increasing use in scientific research and weather forecasting. China is also among the top 10 countries in the world for high-performance computing.

Recent Development

  • SambaNova introduced a new HPC-based solution to perform sentiment analysis, language translation, and entity recognition in banking services. - February 2022
  • Lenovo Group Limited announced a new service Lenovo TruScale™, which delivers the power of on-premises supercomputing to organizations of all sizes through a cloud-like experience. - January 2022

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Advanced Micro Devices, Inc., Cisco Systems, Inc., IBM Corp., Micron Technology, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Luxemburg, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Nigeria, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global High-Performance Computing Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global High-Performance Computing Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global High-Performance Computing Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The research report also provides a detailed market size analysis and projections in volume and value terms. The projections are calculated using verified research methodologies.
  • Excel data sheet for the market size will also be provided with the report.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter’s 5 forces model, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 on the market is also featured in the report.
  • The report includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report includes Self-Assessment Form, which helps customers evaluate their position in the market compared to their competitors
  • The report offers customized research - tailored uniquely to our customers with a quick turnaround time. We offer a 15% customization option at no extra charge to all our clients for any of our syndicated reports.

Report Highlights:

  • A complete analysis of the market, including the parent industry
  • Important market dynamics and trends
  • Impact Analysis - a comprehensive assessment to confront risk and make strategic & operational decisions to counter the changes in the market environment.
  • Market segmentation
  • Competitive Analysis: Comparative analysis of competitor
  • Historical, current, and projected size of the market based on value and volume
  • Market size of the US states
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Impact Analysis
4.2 Drivers
4.2.1 Increasing Demand for HPC and Deep Learning Framework
4.2.2 Increasing Need for Enhanced Scalability, High Computing Performance, and Reliable Storage
4.2.3 Increased Demand to Process Data with Speed and Accuracy in Time-Critical Applications
4.3 Restraints
4.3.1 High Deployment Cost
4.4 Opportunities
4.4.1 Increasing Focus on Deployment of Hybrid HPC Solutions
4.4.2 The advent of Exascale Computing to Maximize the Benefits of HPC
4.4.3 Technology Developments in Mid-Range Supercomputers
4.5 Challenges
4.5.1 Data Security & Privacy Concerns
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter’s Five Forces Analysis
5.3 PESTLE Analysis
5.4 Impact of COVID-19
5.5 Ansoff Matrix Analysis
6 Global High-Performance Computing Market, By Component
6.1 Introduction
6.2 Hardware
6.3 Software
6.4 Services
6.4.1 Design & Consulting
6.4.2 Integration & Deployment
6.4.3 Support, Maintenance, & Management
7 Global High-Performance Computing Market, By Computing Type
7.1 Introduction
7.2 Parallel Computing
7.3 Distriuted Computing
7.4 Exascale Computing
8 Global High-Performance Computing Market, By Deployment
8.1 Introduction
8.2 On-Cloud
8.3 On-Premises
9 Global High-Performance Computing Market, By Organization Size
9.1 Introduction
9.2 Small & Medium-Sized Enterprises
9.3 Large Enterprises
10 Global High-Performance Computing Market, By Vertical
10.1 Introduction
10.2 BFSI
10.3 Education & Research
10.4 Energy & Utilities
10.5 Gaming
10.6 Government & Defense
10.7 Healthcare & Life Sciences
10.8 Manufacturing
10.9 Media & Entertainment
10.10 Retail & Consumer Goods
10.11 Transportation
11 Americas' High-Performance Computing Market
11.1 Introduction
11.2 Argentina
11.3 Brazil
11.4 Canada
11.5 Chile
11.6 Colombia
11.7 Mexico
11.8 Peru
11.9 United States
11.10 Rest of Americas
12 Europe's High-Performance Computing Market
12.1 Introduction
12.2 Austria
12.3 Belgium
12.4 Denmark
12.5 Finland
12.6 France
12.7 Germany
12.8 Ireland
12.9 Italy
12.10 Luxembourg
12.11 Netherlands
12.12 Norway
12.13 Poland
12.14 Russia
12.15 Spain
12.16 Sweden
12.17 Switzerland
12.18 United Kingdom
12.19 Rest of Europe
13 Middle East and Africa's High-Performance Computing Market
13.1 Introduction
13.2 Egypt
13.3 Israel
13.4 Qatar
13.5 Nigeria
13.6 Saudi Arabia
13.7 South Africa
13.8 United Arab Emirates
13.9 Rest of MEA
14 APAC's High-Performance Computing Market
14.1 Introduction
14.2 Australia
14.3 Bangladesh
14.4 China
14.5 India
14.6 Indonesia
14.7 Japan
14.8 Malaysia
14.9 Philippines
14.10 Singapore
14.11 South Korea
14.12 Sri Lanka
14.13 Thailand
14.14 Taiwan
14.15 Rest of Asia-Pacific
15 Competitive Landscape
15.1 Competitive Quadrant
15.2 Market Share Analysis
16 Company Profiles
16.1 Advanced Micro Devices, Inc.
16.1.1 Company Overview
16.1.2 Company Snapshot
16.1.3 Product Overview
16.1.4 Business Overview
16.1.5 SWOT Analysis
16.1.6 Recent Developments
16.2 Altair Engineering Inc.
16.2.1 Company Overview
16.2.2 Company Snapshot
16.2.3 Product Overview
16.2.4 Business Overview
16.2.5 SWOT Analysis
16.2.6 Recent Developments
16.3 Amazon Web Services, Inc.
16.3.1 Company Overview
16.3.2 Company Snapshot
16.3.3 Product Overview
16.3.4 Business Overview
16.3.5 SWOT Analysis
16.3.6 Recent Developments
16.4 Atos
16.4.1 Company Overview
16.4.2 Company Snapshot
16.4.3 Product Overview
16.4.4 Business Overview
16.4.5 SWOT Analysis
16.4.6 Recent Developments
16.5 Cisco Systems, Inc.
16.5.1 Company Overview
16.5.2 Company Snapshot
16.5.3 Product Overview
16.5.4 Business Overview
16.5.5 SWOT Analysis
16.5.6 Recent Developments
16.6 Dassault Systèmes SE
16.6.1 Company Overview
16.6.2 Company Snapshot
16.6.3 Product Overview
16.6.4 Business Overview
16.6.5 SWOT Analysis
16.6.6 Recent Developments
16.7 DataDirect Networks, Inc.
16.7.1 Company Overview
16.7.2 Company Snapshot
16.7.3 Product Overview
16.7.4 Business Overview
16.7.5 SWOT Analysis
16.7.6 Recent Developments
16.8 Dell Inc.
16.8.1 Company Overview
16.8.2 Company Snapshot
16.8.3 Product Overview
16.8.4 Business Overview
16.8.5 SWOT Analysis
16.8.6 Recent Developments
16.9 DustPhotonics Ltd.
16.9.1 Company Overview
16.9.2 Company Snapshot
16.9.3 Product Overview
16.9.4 Business Overview
16.9.5 SWOT Analysis
16.9.6 Recent Developments
16.10 Fujitsu Ltd.
16.10.1 Company Overview
16.10.2 Company Snapshot
16.10.3 Product Overview
16.10.4 Business Overview
16.10.5 SWOT Analysis
16.10.6 Recent Developments
16.11 Hewlett Packard Enterprise Company
16.11.1 Company Overview
16.11.2 Company Snapshot
16.11.3 Product Overview
16.11.4 Business Overview
16.11.5 SWOT Analysis
16.11.6 Recent Developments
16.12 IBM Corp.
16.12.1 Company Overview
16.12.2 Company Snapshot
16.12.3 Product Overview
16.12.4 Business Overview
16.12.5 SWOT Analysis
16.12.6 Recent Developments
16.13 Intel Corp.
16.13.1 Company Overview
16.13.2 Company Snapshot
16.13.3 Product Overview
16.13.4 Business Overview
16.13.5 SWOT Analysis
16.13.6 Recent Developments
16.14 Lenovo Group Ltd.
16.14.1 Company Overview
16.14.2 Company Snapshot
16.14.3 Product Overview
16.14.4 Business Overview
16.14.5 SWOT Analysis
16.14.6 Recent Developments
16.15 Microchip Technology
16.15.1 Company Overview
16.15.2 Company Snapshot
16.15.3 Product Overview
16.15.4 Business Overview
16.15.5 SWOT Analysis
16.15.6 Recent Developments
16.16 Micron Technology
16.16.1 Company Overview
16.16.2 Company Snapshot
16.16.3 Product Overview
16.16.4 Business Overview
16.16.5 SWOT Analysis
16.16.6 Recent Developments
16.17 Nvidia Corp.
16.17.1 Company Overview
16.17.2 Company Snapshot
16.17.3 Product Overview
16.17.4 Business Overview
16.17.5 SWOT Analysis
16.17.6 Recent Developments
16.18 Penguin Computing, Inc.
16.18.1 Company Overview
16.18.2 Company Snapshot
16.18.3 Product Overview
16.18.4 Business Overview
16.18.5 SWOT Analysis
16.18.6 Recent Developments
16.19 Rescale, Inc.
16.19.1 Company Overview
16.19.2 Company Snapshot
16.19.3 Product Overview
16.19.4 Business Overview
16.19.5 SWOT Analysis
16.19.6 Recent Developments
16.20 Sabalcore Computing
16.20.1 Company Overview
16.20.2 Company Snapshot
16.20.3 Product Overview
16.20.4 Business Overview
16.20.5 SWOT Analysis
16.20.6 Recent Developments
17 Appendix
17.1 Self-Assessment Form

Companies Mentioned

  • Advanced Micro Devices, Inc.
  • Altair Engineering Inc.
  • Amazon Web Services, Inc.
  • Atos
  • Cisco Systems, Inc.
  • Dassault Systèmes SE
  • DataDirect Networks, Inc.
  • Dell Inc.
  • DustPhotonics Ltd.
  • Fujitsu Ltd.
  • Hewlett Packard Enterprise Company
  • IBM Corp.
  • Intel Corp.
  • Lenovo Group Ltd.
  • Microchip Technology
  • Micron Technology
  • Nvidia Corp.
  • Penguin Computing, Inc.
  • Rescale, Inc.
  • Sabalcore Computing

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