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Demand Analysis of Big Data Infrastructure Presented in New Report 2016-2020

Demand Analysis of Big Data Infrastructure Presented in New Report 2016-2020

Big data-the deluge of information that businesses are trying to make utilizable for conclusive business growth-is the buzzword in the IT industry. Big data solutions are what enterprises are looking to for a meaningful analysis of conversations on social networking sites, management of patient health records, preventing data breach and data theft in the financial sector, and more.’s new report addition, titled “Global Big Data Infrastructure Market 2016-2020,” is a veritable instrument to assess the growth of the global big data infrastructure market during the forecast period from 2016 to 2020. The report looks into the current state of this market, based on which a forecast analysis for the said market is presented. The report examines other vital aspects such as market drivers, restraints, and opportunities in the past to present market size estimates until the end of the forecast period in 2020. Growth analytics of the major market segments for big data infrastructure are presented for the Americas, EMEA, and APAC.

The report says that the global big data infrastructure market will expand at a remarkable 33.15% CAGR during the forecast period from 2016 to 2020. The top vendors for big data infrastructure mentioned in this report are Dell, HP, NetApp, IBM, Fusion-io, and Cisco. Some other prominent vendors in this market are Intel, Teradata, and Oracle.

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The report points out reasons why the global big data infrastructure market will display double-digit growth in the coming years. First and foremost, organizations are recognizing that big data directly translates into business growth. Big data is bringing a radical change in the whole equation for businesses not only for information-laden companies such as Google, Amazon, and Facebook, but also for a slew of other industries. In the Big Data game, organizations need to have three table stakes: The first is the data itself, second is advanced analytical tools such as NoSQL and Hadoop, and the third is expert personnel for advanced analytics.

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However, the complexities involved in transforming procured data to be made utilizable are challenging this market’s growth. Not only this, many organizations are facing challenges with processing inadequacies for massive volumes of data being generated. Nevertheless, the emergence of open source frameworks for data management and data processing are marked trends favoring the growth of this market.

Organizations are increasingly developing their own analytical tools based on open-source platforms that are suitable for their business needs. In doing so, the objective is to collect massive amounts of information and combine traditional indices like sales with things such as comments on social media portals and location information from mobile devices. Following this, the information is scrutinized to find out how to improve products, slash costs, and retain customers for future growth.

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