Albany, NY -- (SBWIRE) -- 07/09/2014 -- Big Data originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.
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Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to R&D.
Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for nearly $30 Billion in 2014 alone. These investments are further expected to grow at a CAGR of 17% over the next 6 years.
The “Big Data Market: 2014 – 2020 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies.
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The report has the following key findings:
In 2014 Big Data vendors will pocket nearly $30 Billion from hardware, software and professional services revenues
Big Data investments are further expected to grow at a CAGR of nearly 17% over the next 6 years, eventually accounting for $76 Billion by the end of 2020
The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents
Nearly every large scale IT vendor maintains a Big Data portfolio
The report covers the following topics:
Big Data ecosystem
Market drivers and barriers
Big Data technology, standardization and regulatory initiatives
Big Data industry roadmap and value chain
Analysis and use cases for 15 vertical markets
Big Data analytics technology and case studies
Market forecasts and historical figures are provided for each of the following submarkets and their categories:
Hardware, Software & Professional Services
Storage & Compute Infrastructure
Hadoop & Infrastructure Software
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