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Big Data: Driver of Enterprise Software Growth
Businesses are spending on Big Data. $29 billion this year, according to Gartner. Of the $29 billion, $5.5 billion is being spent on software while the remainder is going to IT services. That’s about a factor of five ratio between software and services. But Gartner expects over the next year that ratio will climb of software to services costs to be nearly 20, with the ratio dropping in subsequent years as Big Data technology becomes more mature.
Between 2011 and 2016, Gartner is predicting 16.65 growth for Big Data, growing to $43.7 billion in 2016. If the market scope is limited to social media, social network analysis and content analysis, the market is growing 45 percent annually from 2011 to 2016, and when focused on just the sub-market of Big Data analytics as applied to Social Media, the Big Data market is growing 97 percent CAGR from 2011 to 2016. Gartner notes that in 2011 Big Data had an influence on IT spending in almost every market category.
Gartner expects that by 2020 Big Data will be a non-differentiating capability available in most enterprise software. Mark Beyer, research vice president at Gartner, said that “Because big data’s effects are pervasive, big data will evolve to become a standardized requirement in leading information architectural practices, forcing older practices and technology into early obsolescence. As a result, big data will once again become ‘just data’ by 2020 and architectural approaches, infrastructure and hardware/software that does not adapt to this ‘new normal’ will be retired. Organizations resisting this change will suffer severe economic impacts.”













