The big data software market will grow nearly sixfold by 2019, recording as much as 50 per cent growth according to Ovum’s latest market size and forecast report on information management software.
“The experimental era of big data is coming to an end, organisations are formalising their use of big data technology to realise the business value they expect to find,” says Tom Pringle, Practice Leader, and co-author of the report.
The report highlights the fact that while big data software in 2015 is just a small part of the overall market for information management, it is set to increase at a CAGR of 50 per cent through 2019 and play an increasingly important role that will position big data analytics as a core capability for many enterprises by 2019.
“Big data, as an open source technology, has been accessible without creating huge financial impact on the market,” Pringle says.
“Ovum believes that situation is changing, with commercial Hadoop distributions and a fast-growing ecosystem of enabling and extending technologies pointing toward a bright future for big data.”
In addition, the report suggests that the overall market for information management software is growing at a significant CAGR of 11 per cent.
Aside from the major impact of big data’s growth, business intelligence (BI) and analytics are also strongly contributing to growth - close to doubling by 2019, from a market size of US$15.85 billion in 2015.
“Self-service BI, enabling a whole new universe of users, is driving the expansion of the market,” Pringle adds.
“With easier to use self-serve tools becoming mainstream, and moves to the cloud and mobile providing accessibility, barriers to growth in this market are being eroded.”
Day-to-day data management remains the largest part of the market, according to the report, accounting for in excess of 40 per cent of total spend at US$24.1 billion in 2015.
“Even as the biggest dollar spend on information management, data management continues to grow strongly, with a CAGR through 2019 of 9 per cent,” Pringle adds.
“This expansion speaks not only to the growth in data volumes, but particularly the newer challenges of managing a much more heterogenous range of data types and the speed with which those data are generated.”
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