Exascale Computing Market Size is valued at USD 4.05 billion in 2023 and is predicted to reach USD 25.9 billion by the year 2031 at a 26.6% CAGR during the forecast period for 2024-2031.
Exascale computing describes supercomputers that are capable of performing one exaflop of work per second or more. Faster, more powerful systems to address challenging tasks in scientific research, simulations, and big data processing drive the rising need for exascale computing. Additionally, standard computer techniques still need to be improved as data amounts grow. The complexity of simulations in disciplines such as climate modelling, aerospace, and healthcare has increased, as has the demand for the enormous processing capacity exascale computers offer. More precise forecasts, better designs, and revolutionary discoveries made possible by these sophisticated simulations help to drive the demand for exascale computing. Furthermore, the adoption of exascale computing is mostly driven by the emergence of data-driven companies. The need for exascale computing to manage industries' workloads will only grow as data keeps expanding tremendously.
However, the high cost of developing an exascale computing sector is a significant market constraint. Additionally, market growth is further hindered by high levels of energy usage and the requirement for highly trained personnel. The COVID-19 pandemic sped up the market for exascale computers because it increased the need for advanced models, remote research, and data-heavy applications. This showed that many areas need powerful external computing resources. Additionally, a number of factors are creating opportunities in the exascale computing market. These include new developments in artificial intelligence and machine learning, rising interest in data analytics, a stronger emphasis on green computing, and a widening range of uses in fields including medicine, weather prediction, and academia.
The exascale computing market is segmented based on component, deployment, and customer type. The components segment comprises hardware, software, and services. According to the deployment, the market is further segmented into on-premises and cloud-based. By customer type, the market is segmented into government and defense, healthcare and biosciences, financial services, research and academia, manufacturing and energy, and others.
Hardware is expected to hold a major global market share in the exascale computing market because cutting-edge, high-performance parts like memory systems and cooling solutions are necessary to achieve the extraordinary efficiency and processing power demanded by exascale systems; several components are crucial. The constant development of better semiconductors and more tailored hardware designs is also fueling investment and expansion in this market.
The government and defence segment is growing because advanced computing power is increasingly needed for national security, data gathering, and complex simulations. Large-scale computers allow for quick data processing and accurate modelling, which are important for defence strategies, cybersecurity, and scientific study. This has led to a lot of investment and use in these areas.
The North American exascale computing market is expected to document the highest market share in revenue in the near future. This can be attributed to big investments from the government and the military, powerful research infrastructure, and the presence of top tech companies. The demand for exascale computer systems is also driven by the region's focus on new ideas and early adoption of cutting-edge technologies. In addition, the Asia Pacific is expected to grow rapidly in the exascale computing market because of the region's growing artificial intelligence and big data industries, massive expenditures in the region's technological infrastructure, and robust governmental backing for scientific research.
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Report Attribute |
Specifications |
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Market Size Value In 2023 |
USD 4.05 Bn |
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Revenue Forecast In 2031 |
USD 25.9 Bn |
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Growth Rate CAGR |
CAGR of 26.6% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By component, deployment, and customer type |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Hewlett Packard Enterprise Company, International Business Machines Corporation, Intel Corporation, NVIDIA Corporation, Cray Inc., Fujitsu Limited, Advanced Micro Devices, Inc., Lenovo Group Limited, Atos SE, and NEC Corporation. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Exascale Computing Market Snapshot
Chapter 4. Global Exascale Computing Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Exascale Computing Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Exascale Computing Industry Trends
Chapter 5. Exascale Computing Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Component:
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
Chapter 6. Exascale Computing Market Segmentation 2: By Deployment, Estimates & Trend Analysis
6.1. Market Share by Deployment, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Deployments:
6.2.1. On-premises
6.2.2. Cloud-based
Chapter 7. Exascale Computing Market Segmentation 3: By Customer Type, Estimates & Trend Analysis
7.1. Market Share by Customer Type, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Customer Types:
7.2.1. Government & Defense
7.2.2. Healthcare & Biosciences
7.2.3. Financial Services
7.2.4. Research & Academia
7.2.5. Manufacturing & Energy
7.2.6. Others
Chapter 8. Exascale Computing Market Segmentation 6: Regional Estimates & Trend Analysis
8.1. Global Exascale Computing Market, Regional Snapshot 2023 & 2031
8.2. North America
8.2.1. North America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031
8.2.3. North America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031
8.2.4. North America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Customer Type, 2019-2031
8.3. Europe
8.3.1. Europe Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031
8.3.3. Europe Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031
8.3.4. Europe Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Customer Type, 2019-2031
8.4. Asia Pacific
8.4.1. Asia Pacific Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031
8.4.3. Asia Pacific Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031
8.4.4. Asia Pacific Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts By Customer Type, 2019-2031
8.5. Latin America
8.5.1. Latin America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031
8.5.3. Latin America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031
8.5.4. Latin America Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Customer Type, 2019-2031
8.6. Middle East & Africa
8.6.1. Middle East & Africa Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031
8.6.3. Middle East & Africa Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by application, 2019-2031
8.6.4. Middle East & Africa Exascale Computing Market Revenue (US$ Million) Estimates and Forecasts by Customer Type, 2019-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Hewlett Packard Enterprise Company
9.2.1.1. Business Overview
9.2.1.2. Key Product/Service Offerings
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. International Business Machines Corporation
9.2.3. Intel Corporation
9.2.4. NVIDIA Corporation
9.2.5. Cray Inc.
9.2.6. Fujitsu Limited
9.2.7. Advanced Micro Devices, Inc.
9.2.8. Lenovo Group Limited
9.2.9. Atos SE
9.2.10. NEC Corporation
Exascale Computing Market By Component-
Exascale Computing Market By Deployment-
Exascale Computing Market By Customer Type-
Exascale Computing Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
