The market in North America is expected to hold the largest share of the market. The APAC region is projected to have great opportunities in this market and would grow at the highest CAGR by 2021.High performance data analytics market categorizes the global HPDA market by component as hardware, software, and services, by type as unstructured, semi-structured, and structured, by deployment model, by vertical, and by region.
According to report “High Performance Data Analytics (HPDA) Market by Component (Hardware, software, and Services), Data Type (Unstructured, Semi-Structured and Structured), Deployment Model (On-Premises and On-Demand), Vertical, and Region – Global forecast to 2021″, the High Performance Data Analytics (HDPA) market is estimated to grow from USD 25.71 Billion in 2016 to USD 78.26 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 24.9%.
The proliferation of open source frameworks for big data analytics and the ability of powerful High Performance Computing (HPC) systems to process data at higher resolutions are the key driving forces of HPDA market.
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Storage by component to grow at the highest Compound Annual Growth Rate (CAGR) during the forecast period
The HPDA market is segmented by component which is further categorized into hardware, software, and services. Hardware segment is sub segmented into storage and servers, where storage is poised to grow at the highest CAGR over the forecasted period. HPDA applications are used for computational analysis, information escalated research, rich media, 3D-modelling, seismic handling, data mining, and large scale simulation. These applications handle huge volumes of data in a short span of time and require high capacity accessibility of storage, provided with higher speed and expandability.
On-cloud market to grow at the highest CAGR during the forecast period
The market, by deployment model has been segmented into on-premises and on-cloud model. On-cloud deployment model is expected to witness the highest CAGR during the period 2016 to 2021. On-cloud deployment model will gain traction in the coming years owing to the cost effectiveness, agility, and affordability it offers to the end customer.
