High-performance Computing (HPC) Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

Market Overview

The high-performance computing market is expected to witness a CAGR of 9.44% over the forecast period from 2021 - 2026. Factors, such as increasing investments in the Industrial Internet of Things (IIoT), artificial intelligence (AI), and engineering, which demand electronic design automation (EDA), are likely to drive the market over the forecast period. The market has been augmented by the continued investment from hardware providers to develop solutions that support these capabilities. The surging demand for short product development cycles (PLCs), along with a need to maintain persistent quality, becomes nearly impossible to address in real-time without using the right tools and advanced technologies. The adoption of HPC systems with computer-aided engineering software for high-fidelity modeling simulation is on the rise among various industries, such as automotive and healthcare robotics.

• Physical simulation, optimization, and machine learning (ML) in varied industrial applications, including financial modeling and life science simulation, are some of the examples where HPC plays a critical role in solving complex problems within time. Additionally, the regulatory requirements for energy consumption, sustainability and safety, and the cost pressure are at the top across the world, which is rapidly increasing, resulting in increased complexity for the engineers in the field for development. In the aerospace and defense sector, the companies are highly emphasizing on reducing the production cost with increased production rate. HPC software solutions enable these companies to provide accurate multi-scale and multi-physics simulation solutions by leveraging the simulation at the design phase, cutting off physical testing.
• The HPC market is experiencing a hardware challenge over the years, as the trend has always been processor-driven. In 2000, the most powerful supercomputer boasted peak performance of 3.2 teraflops (TF), whereas, it is 187.7 peak petaflops (PF), an increase in core count by 228 times. Additionally, the current generation of HPC also needs to be providing adequate memory capacity to handle data-intensive workloads. Hence, packaging a higher average number of processors, memory parts, and other components in HPC systems creates a challenge. HPC services are also getting traction in recent years. These services are the majority in terms of consultation, deployment, and maintenance. Companies, such as HPE, have mentioned focusing on providing HPC services, such as advisory services and professional services for integration and installation.
• Mercedes-AMG Petronas Motorsport team has said partnering with HPE to get an assist with its high -performance racing cars with advanced IT engineering. The company has gained from HPE’s professional service, HPE Pointnext, for new technology advantages to power its drivers around the track. With this deployment, the team is enabled with efficient data tackling capability for better insight into its data and reduced development time and iterations that lead to better team performance. Moreover, cloud-based HPC solutions are gaining traction in the market due to their cost-effective pay-as-you-go pricing model. This has become a critical factor in driving the market as the volume, variety, and velocity of data generated have evolved exponentially and are expected to further increase with the 5G technology already getting adoption.
• Predominantly, government agencies, research institutions, and universities are likely to benefit from cloud-based HPC solutions. The traditional electronic methodology has been time-consuming and has increased complexity with the high number of variables to be simulated at a time. By adopting the HPC software, time and complexity are reduced. HPC is recognized as one of the powerful tools to combat against COVID-19. Folding home is one of the projects lead by OCF for simulating protein dynamics, which includes the process of protein folding and the movement of proteins created in various diseases. The University of Aberdeen, the Plymouth Marine Laboratory, and the University of East Anglia have joined this project to run simulations of different protein dynamics on their computers and provide new opportunities for developing therapeutics.

Scope of the Report

High-performance computing (HPC) is the process of the use of parallel processing for running advanced application programs efficiently, reliably, and quickly. Newer workloads, such as genomic sequencing, machine learning, deep learning, speech, and facial recognition, and pattern recognition, are being executed on HPC systems. High-performance computers contribute a lot to industrial competitiveness, national security, scientific progress, and quality of life.

Using HPC computations capabilities, scientists and researchers get a better decision and analysis and a simulation support system to determine how the explored object may behave in a real-life situation, influenced by different physical predictor variables. This saves time and R&D expenses and assists in building a more qualitative and precise product. This would be a very daunting task to do without model simulation, which usually consists of larger systems, many geometric details, and complex physics.​

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Key Market Trends

Life Science and Healthcare is Expected to Witness Significant Growth

• According to HPC Wire, advances in genomics, precision medicine, the widespread adoption of electronic health records (EHRs) and digital imaging, and the increasing proliferation of medical IoT and mobile devices have resulted in an explosive growth of structured and unstructured healthcare-related data. For instance, it is expected that by 2020, the amount of medical data that is being generated in the world will double by every 73 days, where a typical healthcare consumer in the developed countries is expected to contribute to this by creating 1,200 terabytes of data in a lifetime.
• In June 2021, the UK government and IBM announced a five-year EUR 210 million (USD 297.5 million) artificial intelligence (AI) and quantum computing collaboration for making new discoveries and developing sustainable technologies in various industries ranging from life sciences to manufacturing. The program will hire 60 scientists, interns, and students to work under the IBM Research and the UK’s Science and Technology Facilities Council (STFC) to apply AI, high performance computing (HPC) and data analytics, quantum computing, and cloud technologies” to advance research in areas, like materials development, life sciences, environmental sustainability, and manufacturing.
• The adoption of AI in the medical sector, to help the healthcare professionals in diagnostics, has been a massive enabler to the approval of these solutions in the industry application. For instance, AI Image recognition has been an enormous enabler for the doctor's inaccurate diagnosis of cancer or other such diseases but going through a vast set of collected data to conclude. Such systems have been crucial in reducing the already existing workload in the sector. Moreover, software plays a critical role in utilizing the potential of the HPC and supercomputing capabilities by building a healthcare professional platform that enables the core components necessary for precision medicine.
• Additionally, these also bring the power to offer the data scientists the insights beyond the image and sequence analysis and enable computational modeling. The researchers become able to use the analytics tools, machine-learning frameworks extended to big-graph analytics. Genomic Analysis, Molecular Dynamics, Clinical trial Simulation of drugs, and Medical imaging are few of the significant application that has experienced an expedited adoption of HPC capabilities. Vendors with prior experience and a platform that offers data privacy and secrecy are better placed in the competitive scenario in the industry segment. The end-users are highly regulated and are impacted by the goodwill.

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