Locations, Industries & Years: A Deep Dive into Unicorn Companies
We keep hearing the term “unicorn companies” in news articles and from well-known investors. The name conjures up an image of mythical creature to convey something rare and wonderful. In fact, the term,coined by a U.S venture capitalist in 2013, applies to a private start-up company with a valuation of at least $1 billion. In addition to that monetary qualifier, unicorns typically possess the following characteristics:
- First movers that redefined their corresponding industries
- Disruptive and innovative
- Investments from big-time investors and venture capitalists
This study aims to analyze and understand unicorn companies, and answer the following questions:
- What are the unicorn companies?
- Where are they based?
- When did they become a unicorn?
- What interesting insights can be revealed from data analysis?
Data & Data Pre-processing
The data used for analysis is a Kaggle dataset originally scraped from CB Insights. It covers all the current unicorn companies in the world (as of April 2022), which included 1074 companies and 10 features- company name, valuation, date joined, industry, city, country, continent, year founded, funding, and select investors.
Major data cleaning procedures applied to the dataset include cleaning up column names, converting data types, checking for outliers, duplicates and errors, and handling missing values.
New features are created for analysis, such as the age of the company, the number of years for a newly founded company to become a unicorn, etc.
Feature I - Location
The top three continents are North America, Asia, and Europe. Europe has the highest number of countries with a unicorn. This aligns with the overall conditions of capital market and industry innovations in these regions.
The United States and China are the Top two countries in terms of the number of unicorns, accounting for 52% and 16% respectively.
Among the Top 20 cities, eight are from the United States. Bay Area, New York, Chicago and Boston are among the top areas across the state. Four are from China, and they are the most developed cities on the Eastern coast. The US and China are again leading in the overall development as they have multiple startup hubs across the nation.
Feature II- Industry
The Top 4 industries are
- Internet software & services
- e-commerce & DTC
- Artificial intelligence
They are all tech subsectors, and some other smaller industries like hardware, mobile and ed-tech are also tech-related. Many unicorns in other traditional industries are also powered by innovative technology, e.g. Instacart in Supply Chain, logistics & delivery sector and Yanolja in the Travel sector.
Feature III – Valuation
The following analysis is on distributions of company valuation by industry. There are also extremely highly-valued companies in some industries like ByteDance in AI and SpaceX in Others. Both have valuations over $100 billion.
Disregarding these “centicorns,” the average valuations of unicorn companies range from $1-2 billion across different industries. No significant difference among different industries is observed.
Feature IV – Years
Diving into calendar years and the number of years for a company to become a unicorn, two patterns emerge:
- The average number of years for a company to become a unicorn since being founded is 6-7 years.
- Counting new joiners by calendar year, there were three waves of unicorn boom, in 2015, 2018, and 2021 respectively. Most significantly in 2021, 520 companies (from 38 countries) joined the global unicorn club, a 381% increase from the previous year.
Upon the above analysis of different features, the contrast between the US and China and unicorn booms are compelling for further exploration. Specifically, the research questions are:
1. As the US and China are the top two countries with the most unicorn companies, how do they differ in terms of industry, recent trends, and valuation?
2. What happened in the years of the unicorn boom?
United States v.s. China
In most industries, the US has more unicorn companies than China.
Focusing on the composition of industries in each country, the U.S. unicorn companies are relatively concentrated in Fintech & Internet software & services. In contrast, Chinese unicorns are more dispersed in different industries. The top industry is e-commerce & DTC. And the number of companies in other major industries is at a similar level.
Regarding recent trends, 2021 was a big year for unicorn companies both in China and the US. There was a major hike in the U.S. in 2021. In China, the number of new joiners had decreased since 2018, though the downward trend was reversed in 2021.
The industry composition was also quite different between the two countries. The pattern aligns with the industry comparison concluded in the previous section.
In terms of company valuations, disregarding outliers with extremely high values, there is no significant difference in average valuations across industries, with an average ranging from [$1-2 billion]. The U.S. average is higher in all sectors than China, except the consumer & retail industry.
As for the mega-unicorns, they drive up the average valuations in these industries.
This include JUUL Labs, SpaceX & TripActions in the US and ByteDance, Shein & Genki Forest in China.
Recall from the previous observations, there were 3 unicorn booms in 2015, 2018 and 2021. To explore what happened in those years, the number of years for a company to become a unicorn (“unicorn age”) is averaged for each year. The unicorn age was relatively shorter in boom years, and this corresponded to the larger number of new entries in those years.
Based on external research, the abundance of capital in VC/PE market in those years pushed up the valuations of startup companies and contributed to the phenomenon. The top contributors for each boom were different: E-commerce & DTC in 2015, Internet software & services in 2018, and Fintech & Internet software & services in 2021.
Selected investors of each unicorn company were not covered in the analysis. Without considering the brand names of investors, the number of investors alone is no direct indication of how successful or how big a unicorn is. Also classifying different investing entities belonging to the same investor (e.g. Sequoia China & Sequoia India) demands extensive business knowledge and qualitative judgment. Further exploration could combine more investment insights to expand the analysis on investors.
Another possible expansion would be to include archived unicorn lists of previous years. This would reveal the dynamics and trends of unicorn companies, such as the change in company valuation over time and relationships between the number of exits and market conditions.