Global High Performance Data Analytics Market

High Performance Data Analytics Market Size, Share, Growth Analysis, By Product(Structured, Semi-Structured and Un-Structured), By Deployment(On-Premise and Cloud), By Industrial Vertical(Government & Defense, Manufacturing, Academia & Research, Healthcare & Life Science), By Region - Industry Forecast 2024-2031

Report ID: SQMIG45C2076 | Region: Global | Published Date: April, 2024
Pages: 201 | Tables: 89 | Figures: 72

High Performance Data Analytics Market News

  • In December 2023, Lenovo is a firm that provides computer hardware, software, and services. At the Zuse Institute Berlin (ZIB), the HPC system "LISE" was enhanced. The institute's researchers would have access to the high processing power needed to run data-intensive applications thanks to this expansion. The main goal of this expansion is to make "LISE" more energy efficient.
  • In August 2023, The HPC cloud platform Gompute, which provides on-premises and hybrid cloud solutions in addition to Cloud HPC services, has been acquired by atNorth, a provider of data center services. As per the deal, atNorth would broaden its offering by including Gompute's data center.
  • In July 2023, the consulting and IT services company HCL Technologies Limited has expanded its partnership with Microsoft Corporation to offer HPC solutions, including advanced analytics, machine learning, core infrastructure, and simulations, to customers in a variety of industries.
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High Performance Data Analytics Market size was valued at USD 46.01 billion in 2022, USD 49.99 billion in 2023 and is projected to grow USD 91.86 billion by 2031, growing at a CAGR of 9.1% in the forecast period (2024-2031).

Businesses need advanced tools to manage and extract value from the deluge of information that comes in the big data era. The market for high-performance data analytics, or HPDA, steps up to save the day. It offers robust solutions that process and analyse large datasets at breakneck speeds, spurring innovation and giving businesses a competitive edge. 'Dawning Information Industry Co., Ltd. (China)', 'NVIDIA Corporation (US)', 'Hewlett Packard Enterprise Development LP (US)', 'Amazon Web Services, Inc. (US)', 'IBM Corporation (US)', 'Fujitsu (Japan)', 'Lenovo (China)', 'Intel Corporation (US)', 'Atos SE (France)', 'Microsoft Corporation (US)', 'Cloudera, Inc. (US)', 'Google LLC (US)', 'Cray Inc. (US)', 'Dell Inc. (US)', 'Bright Computing, Inc. (Netherlands)', 'Cisco Systems, Inc. (US)'

The high performance data analytics market is expanding due in large part to the growing use of artificial intelligence (AI) and machine learning (ML) technologies. As AI and ML algorithms can process enormous volumes of data at previously unheard-of speeds, businesses may instantly gain insightful knowledge and make decisions based on facts. With the use of automation and predictive analytics, these technologies enable companies in a variety of industries to improve customer experiences, streamline processes, and open up new income opportunities.

Edge Computing Revolution: The data analytics and processing landscape is changing due to revolutionary changes in the High-Performance Data Analytics (HPDA) business. The growing use of edge computing for HPDA applications is one notable development. In order to handle and extract insights from this decentralized data, enterprises are using high-performance analytics solutions as the amount of data produced at the edge by IoT devices and sensors keeps growing. In HPDA, edge computing enables real-time analytics at the point of data collection, cutting down on latency and facilitating quick decisions in situations where quick decisions are essential, like in smart cities or autonomous cars.

Due to their heavy reliance on CPU processing, workflows for data preparation, training, and deployment for data analytics were historically laborious and slow. This market will be dominated by the high-performance data analytics (HPDA) area in North America. Accelerated data science has been implemented by two advanced economies in the region, namely the USA and Canada, to improve the efficiency of end-to-end analytics workflows. This has the potential to accelerate value creation and reduce costs across various industries, hence propelling market expansion in the region. With a market share of second to none, the high-performance data analytics (HPDA) market is located in Europe. By incorporating cutting-edge capabilities like AI and HPC into their products, regional providers of data analytics software are broadening their customer base.

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Global High Performance Data Analytics Market

Report ID: SQMIG45C2076

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