Technology
Chart: Here’s How 5 Tech Giants Make Their Billions
The Revenue Streams of the Five Largest Tech Companies
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
Last year, we published a chart showing that tech companies have displaced traditional blue chip companies like Exxon Mobil and Walmart as the most valuable companies in the world.
Here are the latest market valuations for those same five companies:
Rank | Company | Market Cap (Billions, as of May 11, 2017) | Primary Revenue Driver |
---|---|---|---|
#1 | Apple | $804 | Hardware |
#2 | Alphabet | $651 | Advertising |
#3 | Microsoft | $536 | Software |
#4 | Amazon | $455 | Online Retail |
#5 | $434 | Advertising | |
TOTAL | $2,880 |
Together, they are worth $2.9 trillion in market capitalization – and they combined in FY2016 for revenues of $555 billion with a $94 billion bottom line.
Bringing Home the Bacon?
Despite all being at the top of the stock market food chain, the companies are at very different stages.
In 2016, Apple experienced its first annual revenue decline since 2001, but the company brought home a profit equal to that of all other four companies combined.
On the other hand, Amazon is becoming a revenue machine with very little margin, while Facebook generates 5x more profit despite far smaller top line numbers.
Company | 2016 Revenue (Billions) | 2016 Net Income (Billions) | Margin |
---|---|---|---|
Apple | $216 | $46 | 21% |
Alphabet | $90 | $19 | 21% |
Microsoft | $85 | $17 | 20% |
Amazon | $136 | $2 | 2% |
$28 | $10 | 36% |
How They Make Their Billions
Each of these companies is pretty unique in how they generate revenue, though there is some overlap:
- Facebook and Alphabet each make the vast majority of their revenues from advertising (97% and 88%, respectively)
- Apple makes 63% of their revenue from the iPhone, and another 21% coming from the iPad and Mac lines
- Amazon makes 90% from its “Product” and “Media” categories, and 9% from AWS
- Microsoft is diverse: Office (28%), servers (22%), Xbox (11%), Windows (9%), ads (7%), Surface (5%), and other (18%)
Lastly, for fun, what if we added all these companies’ revenues together, and categorized them by source?
Category | 2016 Revenue (Millions) | % Total | Description |
---|---|---|---|
Hardware | $197,020 | 36% | iPhone, iPad, Mac, Xbox, Surface |
Online Retail | $122,205 | 22% | Amazon (Product and Media Categories) |
Advertising | $112,366 | 20% | Google, Facebook, YouTube, Bing ads |
Software | $31,692 | 6% | Office, Windows |
Cloud/Server | $31,396 | 6% | AWS, Microsoft Server, Azure |
Other | $60,177 | 11% | Consulting, other services (iTunes, Google Play), etc. |
$554,856 | 100% |
Note: this isn’t perfect. As an example, Amazon’s fast-growing advertising business gets lumped into their “Other” category.
Hardware, e-commerce, and and advertising make up 76% of all revenues.
Meanwhile, software isn’t the cash cow it used to be, but it does help serve as a means to an end for some companies. For example, Android doesn’t generate any revenue directly, but it does allow more users to buy apps in the Play Store and to search Google via their mobile devices. Likewise, Apple bundles in operating systems with each hardware purchase.
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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