Supercomputer Market is Likely to Rise at 11.06% CAGR By 2030

Published Date : 01 Jun 2023

The global supercomputer market size was evaluated at USD 9.44 billion in 2022 and it is expected to touch over USD 21.9 billion by 2030, growing at a CAGR of 11.06% during the forecast period 2022 to 2030.

Supercomputer Market Size And Growth Rate From 2022 To 2032

The world's fastest computers, supercomputers, are part of supercomputing technology. Interconnects, I/O systems, memory, and processing cores make up supercomputers.

Supercomputers, in contrast to conventional computers, employ many central processing units (CPU). These CPUs are arranged into compute nodes, each of which consists of a memory block and a processor or group of processors (symmetric multiprocessing, or SMP). A supercomputer at scale may have tens of thousands of nodes. These nodes can work together to solve a particular problem thanks to their interconnect communication capabilities. Interconnects are another means by which nodes interact with I/O systems, such as networking and data storage. An important point to keep in mind is that data centers need cooling systems and appropriate facilities to accommodate everything due to the power consumption of modern supercomputers.

The first two purposeful supercomputers, IBM's 7030 Stretch and Sperry Rand's UNIVAC LARC, which were intended to be more powerful than the fastest commercial machines at the time, introduced the word supercomputer in the early 1960s. The development of cutting-edge, high-performance computer technology for military purposes first received regular financing from the US government in the late 1950s, which sparked a series of events that influenced the development of supercomputing.

The vast majority of installed modern mainstream computer systems cannot match the sustained performance offered by supercomputers. Supercomputers make it possible to generate information in applications like the analysis of intelligence data, weather forecasting, and climate modeling that would not otherwise be possible or that could not be produced in time to be useful. Scientific research in vital fields including physics, material sciences, biology, and medicine can be expedited by the use of supercomputing. In situations when tests are risky, expensive, or even impossible to perform or instrument, supercomputer simulations can supplement or replace experimentation. They can dilate space, allowing us to witness atomic phenomena, or contract space, allowing us to observe the core of a supernova. They can collapse time, allowing us to observe the change of the climate over centuries or the evolution of galaxies over billions of years. Better forecasts of a hurricane's landfall or the effects of an earthquake can save lives and money.

Regional Snapshots:

APAC has the highest installed base of supercomputers, accounting for over 46 percent of the total. Chinese enterprises are pursuing an ambitious approach to establish their own supercomputing systems based on locally generated software and hardware. In 2022, China covertly built the world's first exascale supercomputer, which was quickly followed by a second machine. The Next Platform originally reported on the supercomputers, but Kahaner explained them a few months later.

The number of TOP500 installations in China has risen to 227, up from 219 six months earlier. Meanwhile, the percentage of systems headquartered in the United States remains near an all-time low of 118. However, systems in the United States are substantially larger on average, accounting for 37.8 percent of the list's aggregate performance. China is close behind, with a performance share of 31.9 percent. However, as compared to six months ago, this performance disparity has narrowed. The United States accounted for 38.4 percent of the list's aggregate performance in June 2019, while China accounted for 29.9 percent.

Japan is still third in the number of TOP500 systems, with 29, followed by France (18), Germany (16), and the Netherlands (15). Lenovo (174), Sugon (71), and Inspur (70) are the top three system vendors in terms of the number of installations, reflecting China's overwhelming dominance (65). Cray is fourth with 36 systems, while HPE is fifth with 35. Given that Cray is now owned by HPE, the two companies would essentially connect Sugon to 71 systems.

Supercomputer Market Report Scope:

Report Coverage Details
Market Revenue in 2023 USD 10.49 Billion
Projected Forecast Revenue in 2030 USD 21.9 Billion
Growth Rate from 2022 to 2030 CAGR of 11.06%
Largest Market Asia Pacific
Base Year 2022
Forecast Period 2022 To 2032
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Market Dynamics:


One of the key drivers supporting supercomputing market growth is the increased use of big data analytics. The growing use of big data analytics has increased the demand for supercomputers significantly. The extraction of insights from big data is becoming more popular today. This necessitates the development of a more advanced computing infrastructure. Supercomputers are ideal for processing large amounts of data available on the market due to their ample storage and high processing capabilities. This can be seen in the financial services industry, where companies like PayPal have resorted to purchasing cluster supercomputers over the last two to three years. Furthermore, the introduction of newer advanced analytics methods and tools is expected to gain traction among enterprises in order to maximize the intelligence obtained from big data analytics. 

The increasing adoption of supercomputing systems by commercial customers is driving the global supercomputer market growth. Global technological changes are driving the supercomputer market. In this, businesses must keep up with technological advances and strive for competitive advantage. The race to build bigger, fasters systems that intensified, with supercomputer prowess that closely linked to competitiveness. The supercomputer companies are attempting to apply their technologies to such companies. Automobile manufacturers, chemical, drug companies, manufacturers, oil companies, aircraft manufacturers, and energy producers are among the companies looking to purchase such systems.

The cloud is increasingly being used by supercomputing centers to manage workloads. At the moment, the cloud is used to run parallel application that does not require specific architecture. However, as time goes on, more sophisticated applications to most run on the cloud. In keeping with this trend, Cray formed a partnership with Microsoft. The collaboration of Cray accesses the Microsoft Corporation’s Azure customer base, which has the huge potential to large power boost the company's growth. As a result, these factors will drive the growth of the supercomputing market during the forecast period.


Many industries rely on supercomputers, but misconceptions about cloud-based supercomputers may prevent organizations from reaping the benefits of these powerful systems, which include faster time to market, new business insights, unprecedented agility and scalability, and more. When comparing on-premises infrastructure to cloud-based supercomputers, it is critical to look beyond a simple cost-per-core-hour analysis and consider the overall business impact. In the new digital economy, factors such as employee productivity, cutting-edge technology, and innovation acceleration can mean the difference between leading the industry and falling behind. Global hacking incidents are a legitimate concern for supercomputer development. Multiple supercomputers across Europe were infected with cryptocurrency mining malware and were shut down to investigate intrusions. Security incidents have been reported in the United Kingdom, Germany, and Switzerland, and a similar intrusion has been reported in Spanish data centers. Such incidents are compelling businesses to prioritize supercomputer security.


Super computing promises exciting advances in personalized medicine, genomics, carbon capture, astrophysics, market economics, biofuel, blockchain, and cryptography. It will allow  to better predict the weather, solve more complex algorithmic problems (such as the travelling salesman problem), explore the outskirts of our universe, and build a more energy-efficient power grid.

Because of the COVID-19 pandemic, demand for data centers, AI, and machine learning is increasing exponentially among enterprises such as government and educational institutions. This expansion is boosting demand for supercomputers. It is expected to continue at this rate until the end of 2022, contributing to the spread of the impact and importance of supercomputers in various end-user industries. Another major concern in areas where supercomputing is expected to grow is the rise in cyberattacks.


The high total cost of ownership and large power consumptionwill be a major challenge for the global supercomputers market share growth during the forecast period. A supercomputer's ownership and maintenance are both expensive (in the range of millions). The total cost includes installation, power consumption (in megawatts), and maintenance. The cost of designing, building, and installing a supercomputer can range from $100 million to $300 million. On average, these systems consume 6-7 megawatts of power, with peak consumption approaching 9.5 megawatts. The annual energy cost for such usage is approximately $6-$7 million.Over the life of a supercomputer, the energy costs nearly equal the total investment costs. The energy requirements of a supercomputer increase as its computational power increases. Furthermore, several technicians are required to keep the supercomputer running. As a result, market growth will be hampered.

Recent Developments:

  • In just three weeks, NVIDIA created the world's most powerful supercomputer.In the midst of the pandemic, NVIDIA announced the creation of an industrial supercomputer in three weeks. The Selene mega-system is the world's seventh-fastest computer. It has its own robot attendant and is pushing the boundaries of artificial intelligence in automotive, healthcare, and natural-language processing. NVIDIA claims that their team created ever-larger clusters of V100-based NVIDIA DGX PODs. The team then put together large clusters of V100-based NVIDIA DGX-2 systems known as DGX PODs. The Argonne National Laboratory, located outside of Chicago, is using a system based on Selene's DGX SuperPOD design to research ways to stop the coronavirus, according to the company. 
  • Chinese Scientists Have Achieved Quantum Supremacy. In one of the most recent developments, Chinese researchers claimed to have achieved quantum supremacy by performing calculations 100 trillion times faster than theworld's most advanced supercomputer. They claimed that their supercomputer Jiuzhang can outperform Google's Sycamore, a 54-qubit processor that the tech giantclaimed to have achieved quantum supremacy last year. The experiment was carried out using light and photons.

Major Key Players:

  • Nvidia (Japan)
  • NEC Corporation (Japan)
  • Lenovo (China)
  • Intel (US)
  • IBM (US)
  • HPE (US)
  • Fujitsu (Japan)
  • Dwave
  • Honeywell (Canada)
  • SpaceX
  • Dell (US)
  • CISCO (US)
  • Atos (France)
  • Advanced Micro Devices (US)

Market Segmentation:

By Operating System

  • Unix
  • Linux

By Type

  • Vector Processing Machines
  • Tightly Connected Cluster Computer
  • Commodity Cluster

By End User

  • Commercial Industries
  • Government Entities
  • Research Institutions

By Application

  • Cloud Infrastructure
  • Commercial
  • Space & Research Centers
  • Hospitals & Laboratories
  • Government Entities
  • Defense
  • BFSI

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