Every Day Big Data Statistics – 2.5 Quintillion Bytes of Data Created Daily

Every day 2.5 Quintillion bytes of data are created. Here is an interesting big data infographic contributed by Ben Walker, Marketing Executive at vouchercloud

Vouchercloud is Europe’s biggest mobile voucher app, allowing shoppers to save money on well-known international brands, independent retailers and local services. vouchercloud provides voucher codes for online shopping, mobile vouchers straight to your smart phone from an award-winning app and printable vouchers that you can take in-store.

Vouchers can be used for days out, high street shopping, at restaurants and for leisure activities, from a wide range of shops and retailers. A GPS service is used to deliver deals direct to your phone from the retailers nearest to you, in whatever format you like. This means you can save money on the go by redeeming the voucher, simply by downloading the app and then presenting it on your phone when you make your purchase.

Enjoy the Infographic below and comment if you have something interesting on big data.


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  • Just quick fact checking. Isn’t 2.5 Quintillion = 100 million Blu-ray discs? Assuming (25GB capacity – single-sided).

  • The 2.5 exabytes per day likely underestimates the daily total of created data. An article in the Harvard Business Review in Oct. 2012 page 62 estimates 2.5 exabytes created data per day. If that is accurate it is definitely more now.

  • I suspect that a huge amount of the data generated these days, and nights, is quite useless and meaningless, considering what I see posted in many venues and forums. And that’s not even considering the intentionally and unintentionally fake stuff which is a seriously growing problem. Also, much data is generated and used internally by various systems and processes in more or less automated fashion and therefore does not contribute to data we need to be concerned about. Along with this is a tremendous quantity of internal business data that never makes it into the outside world, unless leaked or stolen and distributed. Then there is a lot of data that is simply repeated, with or without minor modification, such as news stories or blogs that are reposted multiple times. Advertising produces a tremendous amount of data, much of which is ignored. All together, these sources and perhaps others that I haven’t thought of yet, account for a huge portion of the flood of data that is generated but that does not contribute to data we need to be mindful of in any way. So, our data load is considerably reduced from the overwhelming flow that is generated.

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