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Wikibon goes big on Big Data

Four reports show Wikiboners have Big Data hard-on

Comment Wikibon researchers have produced a trio of Big Data reports, so why have the Wikiboners got a hard-on for Big Data?

They have looked at recent Big Data history and out to the 2016-2026 period, and think that Big Data use will explode, growing from $18.2bn in 2014 to $92.1bn – a 14.5 per cent CAGR (compound annual growth rate). The field is complex and varied, with different software technologies and, in the internet of things (IoT) area, a vast new source of data that, although horizontal in a market sense, is nascent, developing fast and bound to have deeply specific and individual attributes in different vertical markets.

There are four individual reports, and they are for Big Data system consumers, practitioners, vendors and their assorted channel partners:

  1. Wikibon's 2016–2026 Worldwide Big Data Market Forecast.
  2. A Big Data Definitions and Methodology document defines Big Data terms for vendors and their customers, such as Data Lakes, Intelligent Systems of Engagement, and Self-Tuning Systems of Intelligence.
  3. The Wikibon 2015 Big Data Market Shares reports how hardware, software, and services vendors are doing so far.
  4. Wikibon report on Spark adoption.

We've seen a table and a couple of charts from the report.

Wikibon_Big_Data_Vendor_shares

Top ten vendors by 2015 revenue ($million)

There are some interesting names there: Palantir (the CIA-backed Big-Brother-Meets-Big-Data company), Splunk, and Accenture (the consultancy) stand out as different from the traditional IT supplier norm.

A chart of vendor shares based on the Top Ten Vendor table shows IBM is in the lead by a wide margin:

Wikibon_BD_vendor_Shares

However, there is much to play for as 67 per cent of the market's revenue is attributed to Others. SAP, Oracle and HPE are in 2nd, 3rd and 4th places respectively. Palantir is in 5th place.

A chart of 2014-2015 vendor growth rates shows Amazon with AWS grew fastest, quite closely followed by Hortonworks, with Cloudera in third place and some way behind:

Wikibon_BD_vendor_growth_rates

Only Microsoft and Splunk from the top ten vendors appear in this chart. Amazon, at $149m revenue, is some way behind the tenth vendor, Microsoft, with its $396m. But Amazon is growing much faster – 166 per cent versus Microsoft's 37 per cent. The implication of this chart is that top-ten vendor status could change substantially. Amazon and Hortonworks may well become top ten vendors, overtaking Microsoft, Teradata, Dell and others.

The Spark report concludes:

  • By 2022, the global market for unified streaming analytics technology will be 16 per cent of all Big Data spending, or about $11.5bn.
  • Spark aims to replace the bulk of Hadoop mix-and-match zoo of analytic engines, but not Hadoop.
  • Other platforms are already on the drawing board in case the Spark community can't overcome Spark's limitations.
  • The Spark community will offer a cut-down, sped-up version to work better at the edge of IoT.

All-in-all, suppliers must be pleased at the market growth predicted here, and at the prospect of massive new data streams to analyze coming from so-called smart devices in the IoT area, and the subsequent need for more analytics.

The Big Data Market Shares report states: "The software, hardware, and professional services markets for big data are still in formative stages – with many less-than-optimal solutions forming an uncertain space for users and vendors. Leadership is still evolving ... While the market will grow rapidly over the next few years, current market conditions, including current market share, will help impact future winners."

These Definitions and Methodology, Market Shares, Big Data Market Forecast and Spark Adoption reports are available to Wikibon premium subscribers. ®

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