Last week, we published U.S. consumption numbers in real-time, highlighting the speed at which physical goods and services are purchased.
What Happens In An Internet Minute In 2016?
Today, we enter into the digital realm to see what happens every minute on the internet. The statistics are mind-boggling and put in perspective how scalable platforms have taken over the world:
ValueWalk's Raul Panganiban interviews Kirk Du Plessis, Founder and CEO of Option Alpha, and discuss Option Alpha and his general approach to investing. Q1 2021 hedge fund letters, conferences and more The following is a computer generated transcript and may contain some errors. Interview with Option Alpha's Kirk Du Plessis
The above infographic shows how truly important the element of scale is to business today.
Google literally processes 2.4 million searches every minute. In that same span of time, 700,000 people login to Facebook and Amazon sells over $200,000 of physical and digital goods.
Platforms such as the ones listed above are comparable in magnitude to other mega-sized companies, but without the intense capital expenditures, debt, or hard costs. That’s why Alphabet, Google’s parent company, can spend over a billion dollars each year on “moonshots”, and why Facebook’s stock is up 35.6% over the last 52 weeks.
Here are the full stats on what happens every internet minute:
- 701,389 logins on Facebook
- 69,444 hours watched on Netflix
- 150 million emails sent
- 1,389 Uber rides
- 527,760 photos shared on Snapchat
- 51,000 app downloads on Apple’s App Store
- $203,596 in sales on Amazon.com
- 120+ new Linkedin accounts
- 347,222 tweets on Twitter
- 28,194 new posts to Instagram
- 38,052 hours of music listened to on Spotify
- 1.04 million vine loops
- 2.4 million search queries on Google
- 972,222 Tinder swipes
- 2.78 million video views on Youtube
- 20.8 million messages on WhatsApp
That’s a lot of data every minute, and this volume of information is part of the reason that these same companies are prioritizing the ability to process and interpret big data more than ever before.
Original graphic by: Excelacom