High-performance Computing (HPC) Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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 reducing the production cost with an 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.
• 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 the data generated have evolved exponentially and are expected to further increase with the 5G technology already getting adoption.
• The demand for HPC saw significant growth, especially in bioscience, as HPC was used to develop a vaccine and tackle the effects of the pandemic. The data consumption and cloud demand skyrocketed since the outbreak of COVID-19, owing to enterprises moving toward remote working and shifting their workloads onto the cloud.

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.​

Report scope can be customized per your requirements. Click here.

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.
• With the increased demand for data analysis in the healthcare sector, the industry has been at the forefront of technological adoption over the past two decades. Moreover, the need to expedite drug discovery and genomics-related study has been one of the major factors that complemented the adoption of high-performance computing solutions in the market.
• The implementation of AI in the medical sector to help healthcare professionals in diagnostics has been a huge enabler to the adoption of these solutions in industrial applications. For instance, AI image recognition can avert inaccurate diagnoses of cancers and other diseases. But it requires going through a huge set of collected data to arrive at a conclusion. Such systems have been crucial in reducing the already existing workload in the sector.
• Moreover, researchers can considerably understand how the virus initiates infection by knowing more details about the structure of the protein which the virus uses to enter human cells. This is expected to be an important step forward and may help in the development of a vaccine. The HPC resource has Atos’ BullSequana X supercomputer with additional computing capabilities and access to Atos HPC, AI & Quantum Life Sciences Center of Excellence.
• Additionally, in March 2021, Cleveland Clinic and IBM announced a planned 10-year partnership to establish the discovery accelerator, which is a joint Cleveland Clinic-IBM center with the mission of fundamentally advancing the pace of discovery in the healthcare and life sciences sector through the usage of high-performance computing on the hybrid cloud, artificial intelligence (AI), and quantum computing technologies. The collaboration is expected to build a research and clinical infrastructure to empower big data medical research in ethical, privacy-preserving ways and discoveries for patient care and approaches to public health threats such as the COVID-19 pandemic.

To understand key trends, Download Sample Report