Technology
How Do Big Tech Giants Make Their Billions?
How Do Big Tech Giants Make Their Billions?
In 2021, the Big Five tech giants—Apple, Amazon, Google (Alphabet), Meta, and Microsoft—generated a combined $1.4 trillion in revenue.
What are the sources of this revenue, and how does it breakdown?
Below, we’ll dive into the main ways that these big tech giants generate revenue, and take a look at how much their revenues have increased in recent years.
Breaking Down Big Tech’s Revenue Streams
As we’ve mentioned in previous editions of this graphic, there are two main ways that big tech companies generate revenue:
- They either sell you a product
- Or sell you as the product to advertisers
Apple, Microsoft, and Amazon fall into the first category—like most traditional businesses, these companies offer customers a physical (or digital) product in exchange for money. More than half of Apple’s revenue comes from iPhone sales, Azure cloud services generate almost a third of Microsoft’s total, and Amazon’s online stores account for nearly 50% of the company’s revenue.
On the other hand, Meta and Alphabet do things a bit differently. Rather than selling an actual product, these two tech giants make most of their money by selling their audience’s attention. Nearly 98% of Meta’s revenue comes from Facebook ads, and 81% of Google’s revenue comes from advertising on various Google products.
However, despite their varying ways of generating sales, these companies all have one thing in common: revenues have soared in recent years.
The Pandemic Has Sped Up Growth
Amidst rising unemployment and pandemic-induced chaos, the Big Five still managed to see a significant revenue uptick.
In 2019 (pre-pandemic), big tech’s combined revenue grew by 12%. The following year, throughout the onset of the global pandemic and the various economic challenges that came with it, big tech still increased its combined revenue by 19%.
And in the 2021 fiscal year, big tech saw a 27% growth in combined revenue, year-over-year.
Company | Revenue (FY 2020) | Revenue (FY 2021) | Growth (YoY) |
---|---|---|---|
Apple | $274.5 billion | $365.8 billion | 33% |
Amazon | $386.1 billion | $469.8 billion | 22% |
Alphabet | $182.5 billion | $257.6 billion | 41% |
Microsoft | $143.1 billion | $168.1 billion | 17% |
Meta | $86.0 billion | $117.9 billion | 37% |
Combined | $1.1 trillion | $1.4 trillion | 27% |
How did these companies continue to thrive throughout economic turmoil and global chaos? It was made possible because the societal changes triggered by COVID-19 ended up driving demand for big tech’s products and services.
For example, lockdown restrictions forced people to shop online, causing e-commerce sales to escalate. Demand for laptops and cloud-based services grew as offices shut down and companies pivoted to fully remote workspaces.
Is Growth Here to Stay?
These days, COVID-19 restrictions have eased in most countries, and the world has slowly returned to normalcy.
But that doesn’t mean growth for big tech will stop. In fact, the pandemic-induced changes to our work and shopping habits will likely stick around, meaning the increased demand for big tech’s offerings could be here to stay.
Two-thirds of employees from a global survey said their company would likely make remote work a permanent option. And global e-commerce sales are expected to grow steadily over the next few years to reach $7 trillion by 2025.
Technology
Visualizing AI Patents by Country
See which countries have been granted the most AI patents each year, from 2012 to 2022.
Visualizing AI Patents by Country
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.
This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.
From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.
Year | China | EU and UK | U.S. | RoW | Global Total |
---|---|---|---|---|---|
2010 | 307 | 137 | 984 | 571 | 1,999 |
2011 | 516 | 129 | 980 | 581 | 2,206 |
2012 | 926 | 112 | 950 | 660 | 2,648 |
2013 | 1,035 | 91 | 970 | 627 | 2,723 |
2014 | 1,278 | 97 | 1,078 | 667 | 3,120 |
2015 | 1,721 | 110 | 1,135 | 539 | 3,505 |
2016 | 1,621 | 128 | 1,298 | 714 | 3,761 |
2017 | 2,428 | 144 | 1,489 | 1,075 | 5,136 |
2018 | 4,741 | 155 | 1,674 | 1,574 | 8,144 |
2019 | 9,530 | 322 | 3,211 | 2,720 | 15,783 |
2020 | 13,071 | 406 | 5,441 | 4,455 | 23,373 |
2021 | 21,907 | 623 | 8,219 | 7,519 | 38,268 |
2022 | 35,315 | 1,173 | 12,077 | 13,699 | 62,264 |
In 2022, China was granted more patents than every other country combined.
While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.
Key Facts About AI Patents
According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.
In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).
In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.
Learn More About AI From Visual Capitalist
If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.
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