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Animation: The Biggest Tech Companies by Market Cap Over 23 Years

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The business world is certainly not a static one.

In the past, we’ve shown that the market leaders in the most stable industries are unlikely to keep their leadership positions over long periods of time.

But limit your window to just the dynamic world of tech and you’ll see an even more extreme example of this inherent volatility. Sometimes companies are able to separate from the rest of the pack for days or months, but it’s never an advantage that lasts for long.

Biggest Tech Companies by Market Cap

Today’s animation was originally posted to Reddit by /r/TheNerdistRedditor and captures the crazy world of tech valuations for public companies.

Watch the intense 1 minute animation below:


Note: the data here only lists companies traded on U.S. exchanges, and does not show every single valuation point.

Over just 23 years, the company topping the list flips eight separate times – and if you were to get more granular with the numbers (looking at daily valuations, for example), you’d see it happen far more often.

Today’s Market Cap Leaders

As we noted above, company valuations are constantly changing – and back in early September 2018, both Apple and Amazon even topped the $1 trillion milestone for a short period of time.

Using the same criteria as the above animation, which is based on U.S. listed companies, here are the top 10 tech companies based on data at time of publication:

RankCompanyTicker(s)Market Cap (March 18, 2019)
#1MicrosoftMSFT$902 billion
#2AppleAAPL$887 billion
#3AmazonAMZN$856 billion
#4AlphabetGOOG, GOOGL$824 billion
#5AlibabaBABA$471 billion
#6FacebookFB$458 billion
#7IntelINTC$243 billion
#8CiscoCSCO$236 billion
#9OracleORCL$192 billion
#10NetflixNFLX$159 billion

Based on March 18, 2019 data

This is not a comprehensive list globally, as it misses companies like Tencent which are listed on other exchanges such as the Hong Kong Stock Exchange. Based on recent HKD/USD conversion rates, it’s estimated that Tencent would be roughly worth $450 billion today – good enough for 7th on the list.

Regardless, since change is the only constant in the tech world, it’s fair to say that the above list of the biggest tech companies will likely be much different in just a few months time.

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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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