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Big Data: Growing market!

 

 

Hadoop, MapReduce, Hive, Hbase, Lucene, Solr? The only thing growing faster than enterprise data these days is the landscape of big data tools. These tools, which are designed to help organizations turn big data into opportunities, are gaining deeper insight into massive volumes of information. A recent Gartner report predicts that enterprise data will increase by 650% over the next five years, which means that the time is now for IT decision makers to determine which big data tools are the best - and most cost-effective - for their organization. 

A new report from analyst firm Gartner forecasts that IT organizations will spend $232 billion (US) on hardware, software and services related to Big Data through 2016.

Some key findings from the report: $5.5 billion in new software sales will be driven directly by demands for new big data functionality in 2012, and will grow at a rate of over 16% annually through 2016.

The sub-segments receiving the biggest Big Data investments are social network analysis and content analytics, with 45% of new spending each year. In the short term, much more will be spent on IT services than on software, by as much as a 20:1 ratio. Gartner forecasts that this ratio will drop as the market matures., Gartner projects a 20x ratio of IT Services to Software in the short term, dropping as this market matures and more expertise is available "Big Data" will soon be the "new normal".

According to Gartner VP Mark Beyer, by 2020 "big data features and functionality will be non-differentiating and routinely expected from traditional enterprise vendors and part of their product offerings". This certainly aligns with what we're seeing with our customers here at Revolution Analytics. Across the board, companies have move from experimenting with Big Data to making significant investments in data architectures — particularly around Hadoop and Big Data appliances. Those companies who have completed (or are at least well along) the process of setting up the data infrastructure are now turning to solutions to analyze the data, to get value from the millions spent capturing and storing it.

Written by FStoop