Wikibon Real World of Big Data Infographic
This visually appealing infographic focuses on Big Data in the enterprise, covering the revenue breakdown, main growth drivers, who are the big spenders, Big Data Investment sectors, and Big Data in Motion.
Wikibon.org, By Jeff Kelly, May 28, 2013
... We at Wikibon have been documenting Big Data in the Real World for the last two years, including publishing a series of vertical-specific research notes highlighting how enterprises in retail, banking, media, utilities and pharma are leveraging Big Data analytics to drive performance.
We were also the first analyst firm, in February of 2012, to publish a comprehensive Big Data market size report. Today, Wikibon's Big Data Vendor Revenue and Market Forecast 2012-2017provides figures on real revenue that vendors, large and small, are today deriving from Big Data products and services.
Today, we're proud to debut the latest offering in our ongoing efforts to chronicle the reality of Big Data, this Real World of Big Data infographic. Our goal with the infographic is to communicate the real world applications of and revenue created by Big Data in the enterprise in a visually exciting way. You'll notice a handful of Big Data uses cases, including dynamic price optimization at Sears, real-time marketing campaign analysis by Lyris and analytics to support drug discovery at Bristol Myers Squibb.
Gregory PS: Interesting highlights from the infographic:
- 2012 Big Data Revenue: $11.4 Billion
- 2017 Big Data Projectted Revenue: $47.8 Billion
- Main growth drivers: Increasing adoption by "traditional" enterprises, Maturation of Big Data Software, Improved professional services, Continued investment in hardware by Web giants
- Big spenders on Big data: Google spent $3B on infrastructure in 2012; Facebook - over $1B; CIA has $600M deal with Amazon to build a private cloud
- Big Data Investment sectors: Pharma, Finance, Industrial Internet
- Big Data in Motion is a key trend - dynamic pricing, real-time security, real-time feedback on advertising, faster disease detection