This free sheet contains all the information about the top 100 unicorns, including their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Once a company crosses the $1 Billion mark, it becomes part of a rare and exclusive club: The Unicorn Club.
The concept was first introduced in 2013 by VC Aileen Lee, founder of Cowboy Ventures, who used the term to describe rare tech startups valued at $1 billion or more.
As of 2025, there are 1,600+ unicorn startups globally. Some well-known startups include:
| Unicorn Startup | Main Industry | Year Founded | Amount Raised | Valuation |
|---|---|---|---|---|
| AI | 2015 | $78B | $500B | |
| Manufacturing | 2002 | $11.8B | $400B | |
| Media | 2012 | $9.5B | $300B | |
| AI | 2021 | $33.7B | $183B | |
| Fintech | 2014 | $28.5B | $150B | |
| Retail | 2006 | $8.3B | $101B | |
| Analytics | 2013 | $21.8B | $100B | |
| Fintech | 2010 | $9.4B | $92B | |
| Fintech | 2015 | $1.9B | $75B | |
| Fashion | 2008 | $4.1B | $66B | |
| Media | 2010 | $28.4B | $58B | |
| AI | 2023 | $22.7B | $50B | |
| AI | 2009 | $11.1B | $45B | |
| AI | 2013 | $2.5B | $42B | |
| Crypto | 2012 | $793.8M | $40B | |
| Fintech | 2012 | $1.8B | $40B | |
| AI | 2022 | $1.9B | $39B | |
| Retail | 2015 | $16.4B | $38B | |
| AI | 2024 | $3B | $32B | |
| Fintech | 2019 | $3B | $32B | |
| Mobility | 2017 | $6.2B | $31B | |
| Gaming | 2002 | $4.9B | $31B | |
| AI | 2013 | $16B | $30B | |
| Enterprise | 2018 | $4B | $30B | |
| AI | 2022 | $3.4B | $29.3B | |
| AI | 2016 | $15.9B | $29B | |
| Infrastructure | 1991 | $7.9B | $23B | |
| Manufacturing | 2016 | CN¥50.6B | $23B | |
| Education | 2011 | $6.3B | $22B | |
| Hardware | 2007 | $2B | $21B | |
| AI | 2022 | $1.5B | $20B | |
| Fintech | 2004 | $5.8B | $20B | |
| Hardware | 2016 | CN¥34.3B | $19B | |
| AI | 2011 | $476.3M | $18B | |
| Retail | 2013 | CN¥34B | $18B | |
| Fintech | 2019 | $1.3B | $17B | |
| Retail | 2013 | $917.7M | $17B | |
| Education | 2016 | $2.4B | $17B | |
| AI | 2012 | $4B | $17B | |
| Retail | 2009 | $1.9B | $17B | |
| AI | 2024 | CN¥23B | $16B | |
| Crypto | 2011 | $530.6M | $15B | |
| Fintech | 2015 | $3.2B | $15B | |
| Crypto | 2015 | $995.4M | $15B | |
| AI | 2017 | $1.5B | $15B | |
| Logistics | 2013 | $3.4B | $15B | |
| Hardware | 2013 | $764.7M | $15B | |
| Food | 2016 | $721.3M | $15B | |
| Logistics | 2016 | $1.3B | $15B | |
| AI | 2023 | €2.8B | $14B | |
| AI | 2021 | €1.4B | $14B | |
| Mobility | 2017 | CN¥18.3B | $14B | |
| Crypto | 2017 | $427.2M | $13.3B | |
| AI | 2009 | $1.4B | $13B | |
| Healthcare | 2017 | $2.3B | $13B | |
| Retail | 2017 | $1.7B | $13B | |
| Analytics | 2011 | $2.4B | $13B | |
| Fintech | 2017 | $1.7B | $12.3B | |
| AI | 2025 | $2B | $12B | |
| Crypto | 2012 | ₩968.5B | $12B | |
| Fintech | 2003 | $1.2B | $12B | |
| Retail | 2019 | $974.7M | $12B | |
| Media | 2019 | $3.4B | $12B | |
| Fintech | 1991 | £1.1B | $12B | |
| Infrastructure | 2013 | $1.4B | $12B | |
| Hardware | 2016 | $13.8B | $12B | |
| Biotech | 2008 | $778M | $12B | |
| Retail | 2018 | $5.2B | $12B | |
| Retail | 2013 | $1.5B | $11B | |
| Media | 2013 | $4.9B | $11B | |
| Security | 2021 | $925M | $11B | |
| Mobility | 2013 | $2.3B | $11B | |
| Fintech | 2021 | $813.3M | $11B | |
| Crypto | 2017 | $563.9M | $10.2B | |
| AI | 2023 | $483.6M | $10B | |
| AI | 2023 | $896M | $10B | |
| Biotech | 2016 | $1.3B | $10B | |
| Biotech | 2021 | $568.1M | $10B | |
| AI | 2023 | $635M | $10B | |
| Crypto | 2017 | $180M | $10B | |
| AI | 2018 | $3.9B | $10B | |
| Media | 2016 | $343.2M | $10B | |
| AI | 2011 | $497.5M | $10B | |
| Crypto | 2011 | $1.3B | $10B | |
| Fintech | 2011 | $746.1M | $10B | |
| Mobility | 2007 | $1.4B | $10B | |
| Media | 2013 | $2.5B | $10B | |
| Retail | 2018 | $3.4B | $10B | |
| Media | 2014 | $2.9B | $10B | |
| Mobility | 2015 | $3.8B | $10B | |
| Mobility | 1994 | ₹31.3B | $10B | |
| Food | 2012 | $595.1M | $9.28B | |
| Fintech | 2013 | $1.7B | $9.23B | |
| AI | 2016 | $381M | $9.1B | |
| Crypto | 2020 | $2.3B | $9B | |
| AI | 2015 | $863M | $9B | |
| Analytics | 2007 | $1B | $9B | |
| Travel | 2005 | $2B | $9B | |
| Media | 2010 | $770M | $9B | |
| Environment | 2015 | $2.9B | $9B |
Total Number of Unicorn Companies Worldwide: 1,624
Total Cumulative VC Funding: $1.41 Trillion
The United States and China dominate the unicorn landscape, with 816 and 279 unicorns, respectively. These two countries have established themselves as major tech hubs and innovation centers, with vast sectors, investment capital, and supporting infrastructure for startups.
India has a significant number of unicorns at 87, showing that it's quickly becoming an important technology hub for startups.
Among European countries, the United Kingdom leads with 67 unicorns. Germany (39) and France (30) are other noteworthy contributors in the region.
Beyond China and India, Canada and Singapore stand out with 30 unicorns each. They serve as huge tech and innovation hubs in North America and Asia respectively, with established ecosystems for startups.
This data highlights an obvious trend about unicorn startups. The AI Supercycle.
The biggest takeaway is the overwhelming dominance of Artificial Intelligence, representing nearly a third of the total dataset with 519 unicorns. If we consider that Machine Learning (listed separately with 112 companies) is functionally a subset of AI, the combined category accounts for about 37% of the total.
Following AI, FinTech (235) continues to be a major driver of high-value startups, with ongoing disruption in banking, payments, and insurance.
Almost a quarter of the unicorns (23.9%) have a single founder. This indicates that while having a co-founder is important, there are many startups where a solo entrepreneur can successfully build a unicorn company.
Larger founding teams (i.e., seven founders or more) represent only a tiny fraction of unicorns, with a combined percentage of just 1.2%. This suggests that it's relatively rare for such large teams to reach unicorn status, possibly due to challenges in decision-making, equity distribution, or other factors that come with having many founders.
