2013 Revenue of some startup companies

The chart below is from Wikibon’s estimates1 of the 2013 revenue2 of some Big Data companies. Using d3 I drew a chart that shows 2013 revenue (in millions) from Big Data products and services, as well as the share of revenue derived from services, for a few select/startup companies:

Wikibon: 2013 (Big Data) revenue of some startups
(Click HERE to enlarge)

  • The Big 3 Hadoop Vendors (Cloudera/MapR/Hortonworks): Combined revenue was $163M, up from $102M in 2012: $57.2M came from services, compared to $61.6M in 2012.
  • Business Intelligence (including Qlik, Tableau, GoodData, Jaspersoft, Pentaho, Datameer, SiSense, and Actuate): Wikibon parses out what share of revenue comes from Big Data products and services. The total 2013 revenue of Tableau ($204) and Qlik ($467) still dwarf the Hadoop vendors. However the portion that Wikibon attributes to Big Data products and services were much smaller ($33M and $28M respectively).
  • Analytics (Splunk/Palantir/Revolution Analytics/Alteryx): Combined revenue was $761M, with $299.8M coming from services.
  • [Revenue estimates from earlier years can be found here.]

    (1) Methodology: “Regarding methodology, the Big Data market size, forecast, and related market-share data was determined based on extensive research of public revenue figures, media reports, interviews with vendors, venture capitalists and resellers regarding customer pipelines, product roadmaps, and feedback from the Wikibon community of IT practitioners. Many vendors were not able or willing to provide exact figures regarding their Big Data revenue, and because many of the vendors are privately held, Wikibon had to triangulate many types of information to determine its final figures. We also held extensive discussions with former employees of Big Data companies to further calibrate our models.Information types used to estimate revenue of private Big Data vendors included supply-side data collection, number of employees, number of customers, size of average customer engagement, amount of venture capital raised, and age of vendor.”

    (2) Having spoken to some of the companies mentioned in this post, I think that while the above revenue estimates aren’t 100% accurate, they’re in the “general ballpark”.

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