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Big Data: The Amazing Numbers in 2015

Big data is growing — in fact, the sector is growing so fast and we are producing data so voraciously, that no one can afford to ignore it as a “fad” any more.

And, it’s going to affect all companies, large and small, across all segments of the market — from healthcare to public safety, and retail to wholesale.

Big data is changing the world as we know it. If you don’t believe me, check out some of these (frankly staggering) statistics:

  • 60%
    One study suggests that retailers who fully leverage the power of big data could see an increase in their operating margins by as much as 60 percent! (Source)
  • 4.4 million
    That’s how many IT jobs there will be internationally in the big data field by the end of 2015, and it’s estimated that 1.9 million of these jobs will be in the U.S. alone. It also suggests that there will be a large gap between the number of jobs available and the number of skilled workers to fill those jobs. (Source)
  • $3.4 billion
    The advanced and predictive analytics (APA) software market is expected to grow to $3.4 billion worldwide by 2018. (Source)
  • $8 million
    In one study, the average business expected to spend $8 million this year on big data and related projects. (Source)
  • $50.1 billion
    Big Data was a $28.5B market in 2014, growing to $50.1 billion overall in 2017. (Source)
  • 5 times more likely
    Companies that use big data analytics are five times more likely to make decisions “much faster” than their competition. (Source)
  • $65.7 million
    As little as a 10 percent increase in the accessibility of data can mean an additional $65.7 million net income for a typical Fortune 1000 company. (Source)
  • $200 million
    The Obama administration is investing more than $200 million in big data initiatives. (Source)
  • 90 percent
    Ninety percent of the data in existence was created in the last two years. (Source)
  • $3.57 billion
    Customer experience enhancement is expected to be the largest big data business category, and the one with the most growth, with forecasts saying this sector will grow from $0.75 billion in 2015 to $3.57 billion in 2020.
  • 26 hours 
    Macy’s has reportedly been able to save 26 hours every time it optimizes pricing for its 73 million products through use of big data, allowing them to change pricing more frequently to follow retail trends. (Source)
  • $500 billion
    One study suggests that the U.S. government could save $500 billion annuallyby implementing big data projects. (Source)

Studies also show that companies (especially small and medium sized companies) put cost and personnel problems as the top reasons they haven’t implemented big data projects yet, but these projects need to become priority fast, or those companies risk being left behind. 

Other articles by Bernard Marr

Do you have questions or comments about big data? I’d love to hear them in the comments below.

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Comment by José Antonio González on June 23, 2015 at 1:17pm

About your following comment:

Studies also show that companies (especially small and medium sized companies) put cost and personnel problems as the top reasons they haven’t implemented big data projects yet, but these projects need to become priority fast, or those companies risk being left behind. 

Could you provide more info about which studies are these?

Comment by Sione Palu on June 23, 2015 at 12:08am

Quote :  "One study suggests that the U.S. government could save $500 billion"

I think that the US government could save much more than $500 billion if it reduces its spending, rather than doing big data project. Presidential candidate Rand Paul has the solution for this sort of saving without any big data project.

"Rand Paul unveils his 'fair and flat' tax plan"

http://video.foxnews.com/v/4309974268001/rand-paul-unveils-his-fair...

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