Cloud High Performance Computing (HPC) Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Hardware (Servers, Storage Devices, Systems, and Networking Devices), Software, and Services), By Deployment Type (On-premises, Cloud), By Industrial Application (Aerospace and Defense, Energy and Utilities, BFSI, Media and Entertainment, Manufacturing, Life Scien
Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationCloud High Performance Computing (HPC) Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Hardware (Servers, Storage Devices, Systems, and Networking Devices), Software, and Services), By Deployment Type (On-premises, Cloud), By Industrial Application (Aerospace and Defense, Energy and Utilities, BFSI, Media and Entertainment, Manufacturing, Life Scien
| Forecast Period | 2024-2028 |
| Market Size (2022) | USD 9.57 Billion |
| CAGR (2023-2028) | 10.36% |
| Fastest Growing Segment | Manufacturing |
| Largest Market | North America |
Global cloud high performance computing (HPC) market
The name "high performance computing" (HPC) refers to the attempt to aggregate computing influence in such a way that it provides significantly more horsepower than that provided by conventional servers and computers. Supercomputing, or high-performance computing, is like everyday computing, but more powerful than that.
The growing demand for high-efficiency computing (HEC) has developed a prominent trend in recent years, this is driven by numerous factors and with significant implications for technology, industries, and society. High-efficiency computing indicates for the ability to perform complex computational tasks with less energy consumption and maximizing computational power.
One of the fundamental drivers behind this demand is the exponential growth of data-intensive applications and the need to process vast amounts of information efficiently. From artificial intelligence (AI) and machine learning (ML) to big data analytics and scientific simulations, these functions require immense computational resources. High-efficiency computing enables organizations to meet these demands while reducing costs and environmental impact. Furthermore, energy efficiency has become a crucial consideration, since increasing awareness of environmental sustainability. By adopting high-efficiency computing systems, businesses and data centers can reduce their carbon footprint, contributing to a greener future. Owing to this, now a days companies are focusing towards high-efficiency computing (HEC) systems. In addition, governments and controlling bodies have also appreciated the importance of energy-efficient computing and are encouraging the development and adoption of energy-saving technologies. As a result, the global high-efficiency computing (HEC) is anticipated to grow, during the forecast period.
The pursuit of high-efficiency computing has resulted advancements in hardware, software, and system architecture. From power-efficient processors & accelerators to intelligent cooling systems and optimized algorithms, researchers and engineers are constantly modernizing to improve computational efficiency. In conclusion, the growing demand for high-efficiency computing stems is due to the need to process large volumes of data, reduce energy consumption, and address environmental concerns. This trend will continue to shape the technology landscape, driving innovation and enabling new possibilities in various fields, ranging from healthcare and finance to transportation and renewable energy.
High-performance computing (HPC) is being used more and more in government sectors, which is driving innovation and improving governance. These changes and advancements have been transformative in different sectors. HPC is being used by governments all over the world to solve difficult problems and make well-informed choices in a variety of areas.
Growth would be fuelled by the adoption of HPC in the cloud. An additional layer of complexity is added when data is transferred for analysis. To detect hidden threats and make better risk-based decisions, the platform should integrate all an organization's data sources while leaving the data alone. An integrated search program that can check all sources, including those from third parties, for signs of danger is ideal. Marvell launched the OCTEON 10 DPU in June of last year, which is intended for workloads in security, networking, and storage geared toward 5G, cloud, carrier, and enterprise data center applications. The OCTEON 10 DPU from Marvell combines hardware acceleration, data path bandwidth, and I/O options like DDR5 and PCIe 5.0.
Even though cloud-based solutions are becoming one of the most viable options for a variety of applications because they provide users with storage and computation requirements at a relatively low cost, appropriate security measures must still be included to safeguard cloud users' data and applications. Also, in February 2022, IBM bought telecommunications consulting services and solutions provider Sentaca to build scalable, cloud and edge-enabled process automation and safety solutions for communications service providers and expand its hybrid cloud consulting business. Due to the above-mentioned development the market will grow soon.
The High Cost of High-Performance Computing Maintenance
High-performance computing (HPC) systems have revolutionized several industries by assisting complex simulations, data analysis, and scientific research at unprecedented speeds. However, along with their exceptional capabilities comes a significant cost associated with their maintenance. The high cost of HPC maintenance can be attributed to several factors. The initial investment in acquiring HPC infrastructure is substantial. These systems require specialized hardware components, such as powerful processors, large amounts of memory, and high-speed interconnects. Additionally, they often necessitate dedicated facilities with robust cooling and power supply capabilities.
Therefore, the power consumption of HPC systems is another significant expenditure. These systems expend substantial amounts of electricity in their high-performance nature and continuous operation. The cost of electricity, coupled with the cooling requirements to prevent overheating, contributes significantly to the overall maintenance expenses. Lastly, HPC systems have a limited lifespan. As technology advances, newer and more efficient components become found at, rendering older systems less cost-effective to maintain and upgrading or replacing HPC infrastructure can be a significant financial burden.
Additionally, HPC systems demand regular maintenance to ensure optimal performance and reliability. Regular software updates, security patches, and system tuning are essential to keep the HPC infrastructure running smoothly, but they require ongoing investments in human resources and licensing fees.
Due to the high cost of HPC maintenance, ongoing maintenance conditions, power consumption, and the demand for periodic upgrades, the market might face some downfall. Despite these expenses, the immense computational power and profits derived from HPC makes it a valuable investment for organizations that rely on difficult data analysis and simulations.
Recent Developments
- In April 2022, CGG Company have taken initiatives tofacilitate continuous differentiation in its core business and accelerate thedevelopment of new operations, CGG is significantly expanding itshigh-performance computing (HPC) capacity related service offerings. The corporationhas obtained a lease to construct a European HPC hub in Southeast England. Thishub become operational in the first half of 2023 and increase the company'scloud HPC capacity by up to 100 petaflops.
- In February 2022, Ansys formed a strategic merger with Amazon WebServices, Inc. The partnership enables Ansys products to be deployed on AmazonWeb Services, making simulation workloads more user-friendly & providingscalability and flexibility. Furthermore, the collaboration would providesimple access to software and storage solutions from anywhere via a webbrowser. Also, the collaboration would extend cloud-based high-performancecomputing (HPC) to promote electronic design automation (EDA), computer-aidedengineering (CAE), and simulation solutions.
Market Segmentation
Global
Market player
Major market players in the
| Attribute | Details |
| Base Year | 2022 |
| Historic Data | 2018 – 2021 |
| Estimated Year | 2023 |
| Forecast Period | 2024 – 2028 |
| Quantitative Units | Revenue in USD Million and CAGR for 2018-2022 and 2023-2028 |
| Report Coverage | Revenue forecast, company share, growth factors, and trends |
| Segments Covered | Component Deployment Type Industrial Application Region |
| Regional Scope | North America, Asia-Pacific, Europe, South America, Middle East & Africa |
| Country Scope | United States, Canada, Mexico, China, India, Japan, South Korea, Australia, Germany, United Kingdom, France, Spain, Italy, Brazil, Argentina, Colombia, Saudi Arabia, South Africa, UAE |
| Advanced Micro Devices Inc., Hewlett Packard Enterprise, Sugon Information Industry Co. Ltd, Fujistu Ltd, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Dell Technologies Inc., Dassault Systems SE, Lenovo Group Limited | |
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