"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.
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 scientific R&D.
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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 $40 Billion in 2015 alone. These
investments are further expected to grow at a CAGR of 14% over the next 5
years.
The “Big Data Market: 2015 – 2030
– 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. The report also presents market size
forecasts for Big Data hardware, software and professional services from 2015
through to 2030. Historical figures are also presented for 2010, 2011, 2012,
2013 and 2014. The forecasts are further segmented for 8 horizontal submarkets,
15 vertical markets, 6 regions and 35 countries.
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