Forecast of Big Data market size, based on revenue, from 2011 to 2026 (in billion U.S. dollars)

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Market volume in billion U.S. dollars

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Description Source More information
The statistic shows a revenue forecast for the global big data industry from 2011 to 2026. For 2017, the source projects the global big data market size to grow to just under 34 billion U.S. dollars in revenue.
Big data – additional information

The term "big data" describes the enormous amount of data that inundate businesses on a constant basis, as well as the industry which has grown around attempts to collect, analyze, and act upon that data. Due to the size and complexity of "big data" sets, traditional data processing applications are seen as inadequate. While the volume of data becomes largely unimportant beyond a certain point, it is what organizations are able to do with the data that matters. According to its proponents, the ability to harness big data effectively allows businesses to make faster, smarter decisions and improve short- and long-term strategic planning.

The largest big data segment is currently professional services, which represents around two fifths of the total market and generates around 10 billion U.S. dollars annually. Some analysts suggest this may not last, however, with service revenues giving way to big data software revenues over the coming decade. Across all segments, IBM is the current market leader, with revenues of about 1.5 billion U.S. dollars from big data. Hewlett Packard Enterprise and SAP round out the top three, with big data revenues for each company reaching close to a billion U.S. dollars.

While the industry is growing steadily, client companies continue to have some concerns with the wholesale adoption of big data. Employees and executives working with big data have listed security, cost, and a lack of technical big data expertise as some of their most pressing concerns, and many executives believe that maintaining the quality of collected data remains a significant challenge.
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Release date
July 2016
Survey time period
2014 to 2016
Supplementary notes
The values are based on the relevant software, hardware and services revenue.

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