From 2020 to 2030, which is the forecast period, the high-performance data analytics (HPDA) market can attain a growth rate of over 18%, asserts Market Research Future (MRFR). High-performance data analytics market size to expand at a CAGR of 21.72 % by 2030
Crucial players in global high performance data analytics (HPDA) market include Cisco system, Inc. (U.S.), Red Hat, Inc. (U.S.), IBM Corporation (U.S.), Hewlett-Packard Enterprise (U.S.), Oracle Corporation (U.S.), Microsoft Corporation (U.S.), Cray Inc. (U.S.), Intel Corporation (U.S.), Juniper Networks (U.S.), ATOS SE (France), and others.
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Top Drivers and Key Barriers
High performance data analytics refers to a technology that offers solutions to data analytics services like streaming analytics, graph modeling and visualization, emerging architecture analysis and exploratory data analysis among others. Additionally, it enjoys strong demand among numerous businesses that focus on taking fast decisions to gain better position in the market.
Businesses across the globe are highly dependent on large scale data analytics to obtain better insights into their customers’ behavior along with their business needs, which stimulates market growth.
Artificial intelligence (AI) and Analytics need extremely powerful processes across networking, storage and compute. Therefore, more and more companies are making extensive use of HPC solutions for AI-backed innovation and productivity. To illustrate, ZEFF Inc. offers top-quality AI database, which can be considered a good example of the strong combination of HPC and AI. Backed by HPC, ZEFF has been able to handle a high number of image issues for people in a day or less, which otherwise would have taken weeks or months to finish.
The worldwide high performance data analytics (HPDA) market can be segmented into component, technology and application.
Component-based segments mentioned in the report are software and hardware.
Depending on the technology, the market consists of structured, semi-structured and unstructured.
Application-wise, the market can be split into financial, manufacturing, healthcare, telecommunications, energy and retailers among others.
The main regions as per which the global high-performance data analytics market is segmented into include North America, Asia Pacific (APAC), Europe, and Rest-of-the-World (RoW).
North America seems to have gained the highest traction in the global high-performance data analytics market. The region can note further success in the near future, given its high use of latest technologies that helps smoothen the operational process. The region is also known for its world-class infrastructure, which can help elevate the market position. Moreover, rising number of research and development (RD) activities for development of HPC also add to the market strength. The United States (U.S.) forms the strongest market for high performance data analytics in the region, given the massive demand from the IT sector.
Europe is the second-most profitable market for high performance data analytics. Increasing importance of activity-based intelligence (ABI) is also boosting demand for HDPA in the region. On top of this, the mounting demand for high performance data analytics in multiple end-use industries coupled with the high adaptability across different data also works in favor of the regional market.
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The APAC region has emerged as the third most significant market for high performance data analytics, backed by several developing nations that make substantial investments in upgrading their infrastructure. This expected to result in the expansion of the high-performance data analytics market in the region. Besides, mushrooming manufacturing industries in prominent countries like India and China boosts the market demand in the region. The region is geared up to embracing the latest technologies and also making extensive use of HPDA in its mainframe IT infrastructure. For instance, supercomputers are in huge demand in local communities in Singapore, along with several universities such as A*Star Computational Resource Centre, Institute of HPC, and others.
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