The high-performance computing market is expected to witness a CAGR of 9.44% over the forecast period 2021 – 2026. Factors such as increasing investment in the Industrial Internet of Things (IIoT), artificial intelligence (AI) and engineering, requiring electronic design automation (EDA) are likely to drive the market during the forecast period.
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The market has expanded due to the continued investment of hardware vendors to develop solutions that support these capabilities.
The rising demand for short product development cycles (PLCs), along with the need to maintain sustained quality, is becoming 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 increasing in various industries, such as automotive and healthcare robotics.
Physical simulation, optimization and machine learning (ML) in a variety of industrial applications, including financial modeling and life science simulation, are some of the examples where HPC plays a critical role in solving complex problems over time. In addition, the regulatory requirements for energy consumption, sustainability and safety, and cost pressures around the world are at the top, which is increasing rapidly, resulting in greater complexity for the engineers in the development field.
In the aerospace and defense sector, the companies place a strong emphasis on lowering production costs with a faster production rate. HPC software solutions enable these companies to provide accurate multi-scale, multi-physics simulation solutions by leveraging the simulation at the design stage, cutting off physical testing.
In addition, cloud-based HPC solutions are gaining traction in the market thanks 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 speed of data generated has evolved exponentially and is expected to increase further with the 5G technology already in use.
Demand for HPC grew significantly, especially in the life sciences as HPC was used to develop a vaccine and address the effects of the pandemic. Data usage and demand for the cloud have skyrocketed since the outbreak of COVID-19, as companies transition to remote working and move their workloads to the cloud.
Key Market Trends
Life Science and Healthcare are expected to witness significant growth
According to HPC Wire, advancements 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 led to an explosive growth of structured and unstructured healthcare-related data.
With the increased demand for data analytics in healthcare, the industry has been at the forefront of technology adoption over the past two decades. In addition, the need to accelerate drug discovery and genomics-related research has been one of the key factors complementing the adoption of high-performance computing solutions in the market.
The implementation of AI in the medical sector to assist healthcare professionals with diagnostics has greatly spurred the adoption of these solutions in industrial applications. For example, AI image recognition can prevent inaccurate diagnoses of cancers and other diseases. But it requires a huge collection of collected data to come to a conclusion. Such systems have been instrumental in reducing the pre-existing workload in the industry.
In addition, researchers can significantly understand how the virus initiates infection by knowing more details about the structure of the protein the virus uses to invade human cells. This is expected to be an important step forward and could aid 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 Discovery Accelerator, a joint Cleveland Clinic-IBM center whose mission is to fundamentally accelerate the pace of discoveries in the healthcare and life sciences sector through of the use 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 enable 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.
North America is expected to hold a large share
The North American region is known for early adoption of advanced technologies, driven by healthy technological development in the United States and Canada. The proliferation of massive data is driving this implementation of new technologies and the need for security, leading to the implementation of HPC systems. North America is expected to continue to dominate the global HPC market during the forecast period. One of the important factors responsible for demand is government investment at the national level in R&D activities.
With the presence of key players in the market including NVIDIA, HPE, IBM, Microsoft and AMD, the demand for high-performance computing in the region is expected to grow significantly. The White House budget for fiscal year 2021 proposed an investment of more than $475 million in exascale computing to secure its place as the leading country (United States) in the supercomputing space. The investment also targets a fivefold improvement in application performance over the Summit system at the Oak Ridge Leadership Computing Facility in the United States.
In April 2021, OpenFive, a provider of customizable silicon-focused solutions with differentiated IP, announced the successful tape of a high-performance SoC on TSMC’s N5 process, with integrated IP solutions targeting HPC/AI, networking and storage solutions . Combined with OpenFive advanced 2.5D packaging solutions and high performance, low power consumption and low latency HBM/D2D interface IP, designers can now create systems-on-chip (SoCs) that pack more computing power into smaller form factors for AI and HPC applications .
The vendors in the market have also entered into new partnerships with other companies to expand their geographic coverage and reach. For example, Graphcore expanded its partner program to increase its capacity to reach new customers and support them in their scaling journey with its intelligence processing unit (IPU) solutions. The company added several partners to its global partner program in the North American region, including Applied Data Systems, Images and Technology, to expand its reach in the region.
While manufacturers have made significant improvements in the use of HPC systems for innovation, the penetration of HPCs into the US manufacturing base for small and medium-sized enterprises has come much more slowly and periodically. The large number of SMEs make up several users who have adopted HPC in the region.
Competition in the high-performance computing market is fierce and highly fragmented. Established market participants, such as Hewlett Packard Enterprise, Advanced Micro Devices Inc., Intel Corporation, NEC Corporation and IBM Corporation, have significant influence on the overall market. High-performance computing vendors are increasingly focused on providing improved solutions that can meet different requirements.
June 2021 – Travelport names Amazon Web Services (AWS) as its cloud partner of choice as it outlines plans to leverage the tech giant’s portfolio to improve the performance and scalability of its operations. In addition to offering cloud capabilities, AWS will leverage other technologies, including HPC, storage, security, analytics, machine learning, and databases, to provide Travelport with a faster, easier, and more personalized travel booking experience.
April 2021 – NVIDIA announced a series of partnerships to allow and combine NVIDIA GPUs and software with Arm-based CPUs. The initiatives include combining AWS Graviton2-based Amazon EC2 instances with NVIDIA GPUs; support scientific and AI application development with a new HPC Developer Kit, enhancing video analytics and edge security features; and creating a new class of Arm-based PCs with NVIDIA RTX GPUs.
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