Technology
Visualizing the Evolution of Consumer Credit
The origin of credit dates all the way back to ancient civilizations.
The Sumerians and later the Babylonians both used consumer loans in their societies, primarily for agricultural purposes. The latter civilization even had rules about maximum lending rates engraved in the famous Code of Hammurabi.
But since then, consumer credit — and how we calculate creditworthiness — has gotten increasingly sophisticated. This is so much the case that technology now used in modern credit scoring would seem completely alien to people living just a few decades ago.
Video: Consumer Credit Through the Ages
Today’s motion graphic video is powered by Equifax, and it shows the evolution of consumer credit over the last 5,000 years.
The video highlights how consumer credit has worked both in the past and in the present. It also dives into the technologies that will be shaping the future of credit, including artificial intelligence and the blockchain.
A Brief History of Credit
We previously visualized the 5,000-year history of consumer credit, and how it dramatically changed over many centuries and societies.
What may have started as agricultural loans in Sumer and Babylon eventually became more ingrained in Ancient Roman society. In the year 50 B.C., for example, Cicero documented a transaction that occurred, and wrote “nomina facit, negotium conficit” — or, “he uses credit to complete the purchase”.
Modern consumer credit itself was born in England in 1803, when a group of English tailors came together to swap information on customers that failed to settle their debts. Eventually, extensive credit lists of customers started being compiled, with lending really booming in the 20th century as consumers started buying big ticket items like cars and appliances.
Later, the innovation of credit cards came about, and in the 1980s, modern credit scoring was introduced.
The Present and Future of Credit
Learn about the modern credit landscape, as well as how technology is changing the future of consumer credit.
The modern numeric credit score came about in 1989, and it uses logistic regression to assess five categories related to a consumer’s creditworthiness: payment history, debt burden, length of credit history, types of credit used, and new credit requests.
However, in the current era of big data and emerging technologies, companies are now finding new ways to advance credit models — and how these change will affect how consumers get credit in the future.
Modern Tech
Consumer credit is already changing thanks to new methods such as trended data and alternative data. These both look at the bigger picture beyond traditional scoring, pulling in new data sources and using predictive methods to more accurately encapsulate creditworthiness.
Future Tech
In general, the future of credit will be shaped by five forces:
- Growing amounts of data
- A changing regulatory landscape
- Game-changing technologies
- Focus on identity
- The fintech boom
Through these forces, new credit models will integrate artificial intelligence, neural networks, big data, and more complex statistical methods. In short, credit patterns can be more accurately predicted using mountains of data and new technologies.
Finally, the credit landscape is set to shift in other ways, as well.
Regulatory forces are pushing data to be standardized and controlled directly by consumers, enabling a range of new fintech applications to benefit consumers. Meanwhile, the industry itself will be focusing in on identity to build trust and limit fraud, using technologies such as biometrics and blockchain to prove a borrower’s identity.
Technology
Ranked: Largest Semiconductor Foundry Companies by Revenue
Most of the 10 largest semiconductor foundries in the world, are headquartered in just three Asian countries, accounting for 90% of the entire industry’s revenue.

Ranked: Largest Semiconductor Foundry Companies by Revenue
They’re in our phones, cars, planes, and even fridges.
Semiconductor chips have become critical for the modern way of life, and the biggest semiconductor foundry companies rake in billions of dollars from widespread demand.
This chart shows the largest semiconductor foundry companies by their percentage of global revenues in Q1 2023, using data sourced from Trendforce.
Semiconductor Foundry Companies by Revenue
At the top of the list and dwarfing every other company by revenue share is TSMC which earned 60% (or nearly $17 billion) of the entire industry’s revenue in Q1 2023.
Founded in 1987, TSMC is a pure-play foundry that has become Taiwan’s largest company and manufactures products for a host of clients including Apple, NVIDIA, and AMD.
Rank | Company | Country | Revenue (Q1 2023, USD) |
---|---|---|---|
1 | TSMC | 🇹🇼 Taiwan | $16,735M |
2 | Samsung | 🇰🇷 South Korea | $3,446M |
3 | GlobalFoundries | 🇺🇸 US | $1,841M |
4 | UMC | 🇹🇼 Taiwan | $1,784M |
5 | SMIC | 🇨🇳 China | $1,462M |
6 | HuaHong Group | 🇨🇳 China | $845M |
7 | Tower Semiconductor | 🇮🇱 Israel | $356M |
8 | PSMC | 🇹🇼 Taiwan | $332M |
9 | VIS | 🇹🇼 Taiwan | $269M |
10 | DB Hitek | 🇰🇷 South Korea | $234M |
Other | $556M | ||
Global Total | $27,860M |
Note: Revenue based on the following conversion rates: USD 1 = WON 1,276; USD 1 = NTD 30.4.
Well behind TSMC in foundry revenues is integrated device manufacturer Samsung, the biggest company in South Korea, which made $3.4 billion (12.4% of the industry’s revenue) from its semiconductor manufacturing business.
GlobalFoundries from the U.S., UMC from Taiwan and SMIC from China round out the top five, with each taking home around 6% of industry’s revenue share in Q1 2023. The former spun out from AMD’s manufacturing arm when the company went fabless in 2009.
Industry concentration is apparent in semiconductors. For example, the top 10 semiconductor foundry companies account for 98% of the entire industry’s revenue. Furthermore, 90% of the market is dominated by companies in just three Asian countries: Taiwan, South Korea, and China.
-
Maps6 days ago
Mapped: Which Countries Recognize Israel or Palestine, or Both?
-
Markets1 week ago
Visualizing 30 Years of Investor Sentiment
-
Technology1 week ago
Ranked: Largest Semiconductor Foundry Companies by Revenue
-
Misc1 week ago
Visualized: EV Market Share in the U.S.
-
Maps1 week ago
Interactive Map: The World as 1,000 People
-
Brands1 week ago
Ranked: Average Black Friday Discounts for Major Retailers
-
Brands7 days ago
Ranked: Fast Food Brands with the Most U.S. Locations
-
Economy7 days ago
Visualizing 30 Years of Imports from U.S. Trading Partners