PUNE, India, November 7, 2016 /PRNewswire/ -- According to a new market research 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", published by MarketsandMarkets, the 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%. (Logo: http://photos.prnewswire.com/prnh/20160303/792302 ) Browse 69 market data Tables and 55 Figures spread through 162Pages and in-depth TOC on"High Performance Data Analytics (HPDA) Market"http://www.marketsandmarkets.com/Market-Reports/high-performance-data-analytics-market-39751632.html Early buyers will receive 10% customization on this report. 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. 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.