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Cloud High Performance Computing (Hpc) Market - Forecast (2021 - 2026)
Cloud High Performance Computing (Hpc) Market - Forecast (2021 - 2026)
“Cloud High Performance Computing (HPC) Industry Outlook – Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Cloud High Performance Computing (HPC) industry.

Cloud High Performance Computing (Hpc) Market - Industry Analysis, Market Size, Share, Trends,Application Analysis, Growth and Forecast 2021 - 2026

Cloud High Performance Computing (HPC) Market size is analysed to grow at a CAGR of 20% during the forecast 2021-2026 to reach $23.1 billion by 2026. Cloud high performance computing (HPC) servers are those that provide high computational data centric tasks as well as high performance by integrating multiple processes for improved efficiency over a standard computer or desktop. Cloud high performance computing can solve complex engineering, business, and technology problems. Multiple high-performance computers within a single processor are arranged in a cluster in this case. The emergence of big data and complex applications across various industries, such as ultra-high definition workflows, electronic design automation simulations, and so on, is driving the market growth. Furthermore, the incorporation of machine learning for achieving a brand advantage is increasing, particularly in public-centric services, with every major player investing in this technology. This is aided by cloud high-performance computing, which aids in database management at a lower cost and at a faster rate. The deployment of autonomous vehicles has increased across many industries, including aerospace, healthcare, automotive, and e-commerce. Vehicles are useful for any business, from factories to distribution centres. As a result, several software programs run concurrently to ensure that the process runs smoothly. This is where high performance computing (HPC) comes into effect.

 

 

Report Coverage

The report: “Cloud High Performance Computing (HPC) Industry Outlook – Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Cloud High Performance Computing (HPC) industry.

By Service: HPC IaaS, HPC PaaS, Data Organization, Workload Management, Clustering Software and Analytics Tool, Professional Service, Managed Service.
By Deployment: Public Cloud, Private Cloud, Hybrid Cloud.
By Organization Size: SMEs, Large Enterprises.
By End-User: Academia & Research, Design & Engineering, Defense, Government, Financial Services, Manufacturing, Others.
By Geography: North America, South America, Europe, APAC, and RoW

Key Takeaways

  • High performance computing (HPC) is the use of parallel processing to run advanced application programmes in an efficient, dependable, and timely manner. On HPC systems, newer workloads such as genomic sequencing, machine learning, deep learning, speech and facial recognition, pattern recognition, and so on are being executed.
  • HPC IaaS is expected to grow at a 21.3% CAGR and reach US$8 billion by the end of the analysis period.
  • India and China dominate the cloud HPC market in Asia-Pacific, and these two countries are the world's emerging economies.
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 Cloud High Performance Computing (HPC) Market, By Region, 2020

Cloud High Performance Computing (HPC) Market

 

 

Cloud High Performance Computing (HPC) Market Segment Analysis - By Service

During the forecast period, the HPC IaaS segment will grow at a faster CAGR. Cloud HPC services are increasingly being adopted by a wide range of end users, including government, academia, and research, biosciences, and others, resulting in global market growth. HPC IaaS enables to deliver high-value infrastructure and application services for even the most demanding HPC requirements. Due to the growth of complex applications and increasing workloads, the HPC IaaS market is expected to have the largest market share in the cloud HPC market in the service type.

 

Cloud High Performance Computing (HPC) Market Segment Analysis – By End-User

Defense is analysed to grow at highest CAGR during the forecast period 2021-2026. There's a lot going on in key mil-aero areas like satellite image processing, signal and intelligence processing, and video analytics. A wealth of image and video data, for example, is being collected via satellite, unmanned aerial vehicles (UAVs), and other devices. In this scenario, cloud high performance computing enables the military to identify security threats or targets of interest much more quickly and accurately. Furthermore, (HPC) is well suited for, and is steadily being adopted for, a wide range of defence and aerospace applications. HPC is currently used in training and simulation, onboard navigation, defence, and attack systems, and command, control, communications, intelligence, computers, and surveillance. Weapons systems are becoming increasingly complex, necessitating extensive interaction with sensors as well as a human in the loop. The United States is a world superpower, and the Department of Defense is looking to upgrade its high-performance computing capabilities. As a result, increased defence spending will facilitate the adoption of cloud HPC technologies.

 

Cloud High Performance Computing (HPC) Market Segment Analysis - Geography

APAC is analysed to be the major region with a share of 33.3% in 2020 for the Cloud High Performance Computing (HPC) Market. India and China dominate the cloud HPC market in Asia-Pacific, and these two countries are the world's emerging economies. Furthermore, China claims to have one of the most developed HPC systems, having ramped up HPC investment faster than the other countries. The country's "National AI Development Plan," released in July 2017, revealed the country's commitment to spending USD 22.15 billion on artificial intelligence research by 2020, and USD 59.07 billion by 2025. This plan aims to position China as a market leader in artificial intelligence in driverless technology, consumer AI applications, telemedicine, and bio-pharmacy, and it is expected to create enormous potential for the development of the cloud high performance computing (HPC) market. The mentioned factors contribute to the overall growth of the Asia-Pacific high-performance computing market. Furthermore, the cloud democratises HPC access by eliminating the large capital outlay, maintenance costs, and power and space requirements, as well as reducing deployment time to a mere 20 minutes. Instead, the capital, time, and manpower can be used to acquire computer power and other resources that will aid in the progress of the research. As a result, as Asia-Pacific economies develop, the cost advantages of cloud HPC over traditional HPC will drive market growth in the region.

 

 

Cloud High Performance Computing (HPC) Market Drivers

The ability of HPC solutions to process large volumes of data with speed and accuracy will boost market growth:

The ability of HPC solutions to process large volumes of data quickly and accurately is the primary factor driving the growth of the Cloud HPC market. Finance, medical, research, seismic exploration, and government and defence are among the industry verticals where applications are experiencing slow and inefficient data processing issues. The fast-paced nature of the financial market necessitates vitality in order for derivative valuations to be processed more quickly and accurately. Applications in the medical field, such as computed tomography (CT) scanning and magnetic resonance imaging (MRI), necessitate quick, accurate results from the processing of complex algorithms. HPC assists them in significantly reducing compute time and processing CT and MRI data quickly and accurately. As a result, one of the major factors driving the growth of the Cloud HPC market is the increasing need in various fields for faster processing of data with high accuracy.

 

The emergence of big data analytics market and the adoption of cloud computing is expected to boost the market growth:

The emergence of the big data analytics market, as well as the adoption of cloud computing solutions for industrial digitization and automation, are two major factors driving the market for cloud high-performance computing. These characteristics are likely to accelerate the market. Rising pay-as-you-go model adoption, a high need to manage complex tasks, and the emergence of Big Data are all factors driving the global cloud high performance computing market. Because of faster deployment, high flexibility, and scalability, high-performance computing is now being adopted at a rapid rate by both small and medium-sized businesses.

 

Cloud High Performance Computing (HPC) Market Challenges

Lack of Knowledge and Limited Budget among SMEs is expected to hinder market growth:

Many SMEs' potential users are unaware of the benefits of HPC and lack the funds to set up such systems. Because of the high investment costs involved, many SMEs in developing countries remain sceptical of HPC adoption. Many of them are unaware of the numerous benefits that HPC provides, such as improved performance and customizable delivery. These businesses also lack the technical expertise required to set up and run an HPC system. Cloud computing, on the other hand, has the potential to increase the use of HPC among SMEs by significantly lowering their costs.

 

Cloud High Performance Computing (HPC) Market Landscape

Technology launches, acquisitions, Partnerships and R&D activities are key strategies adopted by players in the Cloud High Performance Computing (HPC) market. In 2020, the market of AS-interface industry outlook has been fragmented by several companies. Cloud High Performance Computing (HPC) top 10 companies include

 

  1. IBM
  2. Microsoft
  3. Google
  4. Dell
  5. Amazon Web Services
  6. Intel
  7. Penguin Computing
  8. Sabalcore Computing
  9. Univa Corporation
  10. Huawei 

 

Acquisitions/Technology Launches/Partnerships

 

  • In November 2020, Intel collaborated with HPE, an American multinational enterprise information technology company, and Argonne, a science and engineering research national laboratory operated by UChicago Argonne for the Department of Energy in the United States. These companies worked together to create Aurora, an exascale computer system designed to accelerate scientific breakthroughs, innovation, and discovery.
  • In July 2020, HPE partnered with University of Edinburgh, EPCC, in Scotland. HPE offers end-to-end infrastructure, such as HPE and AI solutions, powered by HPE Apollo Systems and HPE Superdome Flex Servers.
 
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