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The Impressive Stats Behind Amazon’s Dominance of the Cloud

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To the average person, cloud computing must seem quite magical.

All at once, the cloud provides instant access to all of your data, photos, music, and applications, without you having to store any of that data locally. In fact, users can access the cloud from practically anywhere in the world, and across multiple devices and platforms.

Yet, this all happens without you actually seeing any visible infrastructure. With data now being created at record speeds, where the heck is all this information being physically stored?

The Rise of AWS

Even though you can’t see the vast infrastructure that runs the cloud, it does exist somewhere.

As today’s infographic from RapidValue shows, much of this infrastructure is owned and operated by Amazon, through its extremely profitable subsidiary of Amazon Web Services (AWS).

Here are the key stats on this dominant service that powers much of the internet today:

The Impressive Stats Behind Amazon's Dominance of the Cloud

Amazon Web Services (AWS) quietly launched in 2002, and in a short time has been able to scale into the largest single player in cloud computing (IaaS, PaaS).

While it is a well-known name to software developers, AWS emerged on a more mainstream basis once its financials were separated from those of parent Amazon.com.

Even in 2018, AWS delivered most of Amazon’s operating income.

AWS By the Numbers

To understand the true scale of AWS, you need to look at the numbers.

  • AWS has over 1 million active users in 190 countries
  • AWS has 5x more deployed cloud infrastructure as their next 14 competitors combined
  • Each day, AWS adds as much infrastructure as they used to run in total 7 years back
  • Amazon S3 is designed to deliver 99.999999999% durability and scale past trillions of objects worldwide
  • AWS partner, Netflix, accounts for up to one-third of Internet traffic during peak usage times
  • AWS accounts for 41.5% of the public cloud market, bigger than Microsoft, Google, Rackspace, and IBM combined

Through incredible economies of scale, AWS has decreased its prices at least as many as 60 times since its launch – and despite this, AWS generated a whopping $26 billion in revenue for parent Amazon in 2018.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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