Spotting Future Unicorns - Predicting Startup Success using GlobalData's AI Model

Spotting Future Unicorns - Predicting Startup Success using GlobalData's AI Model

Summary

GlobalData's report Spotting Future Unicorns - Predicting Startup Success using GlobalData's AI Model analyzes the established unicorns and maps them against the predicted unicorns using GlobalData's AI model. As of December 2022, GlobalData using its proprietary Machine Learning (ML) model predicted 3600+ startups to be potential unicorns. 2022 sees a significant slowdown in unicorn creation, a decline of ~65% compared to 2021. Out of 264 Startups that turned Unicorns in 2022, 118 Startups were correctly predicted by GlobalData's ML Model.

Key Highlights

GlobalData's report on Spotting Future Unicorns in 2022: Predicting Startup Success Using GlobalData’s AI Model majorly covers existing unicorns, predicting future unicorns by combining startup scorecard and machine learning model, investments trends in startups over the years.

Scope

  • Based on GlobalData’s proprietary ranking of 20,000 top startups, startups globally are shortlisted for each sector/theme, of which startups are then predicted to become future unicorns based on GlobalData’s proprietary Machine Learning Model. Critical sectors in the startup universe include TMT (56% predicted unicorns vs. 58% established unicorns), Financial Services (12% predicted unicorns vs. 13% established unicorns), Pharmaceuticals and Healthcare (9% predicted unicorns vs. 2% established unicorns), and Retailing (3% predicted unicorns vs. 5% established unicorns), followed by other sectors.
Reasons to Buy
  • GlobalData's Potential Unicorns list offers early predictive intelligence and enables clients to spot tomorrow's winners today. The model identifies venture-funded companies that have the potential to become unicorns (a valuation of at least $1 billion) driven by GlobalData's proprietary machine learning algorithm which decodes millions of interactions between key deal attributes. The report presents the unicorn ecosystem spanning across sectors, it highlights a spike in unicorn births from 2020 to 2021, 2022 registering a slowdown in unicorn creation. A total of 264 unicorns were created in 2022, a decline of ~65% compared to 2021.


1. Executive Summary
2. Existing Unicorns
Existing Unicorns Update: Inception till 2022
Coverage by Sector, Geography and Themes
Number of Unicorns in 2022: Q-o-Q Comparison
264 Startups that became Unicorns in 2022
Top Investors Backing Most Unicorns.
3. Predicting Future Unicorns
Predicting Future Unicorns in 2022
Coverage by Sector, Geography and Themes
Highlighting 59 Unicorns out of 127 that our ML model predicted correctly in Q1 22
Highlighting 41 Unicorns out of 85 that our ML model predicted correctly in Q2 22
Highlighting 13 Unicorns out of 32 that our ML model predicted correctly in Q3 22
Highlighting 5 Unicorns out of 20 that our ML model predicted correctly in Q4 22
Predicting New Startups that have the potential to become Future Unicorns
Highlighting 50 Startups our ML Model predicted in Q1 2022 to become new Unicorns in future
Highlighting 50 Startups our ML predicted in Q2 2022 to become new Unicorns in future
Highlighting 100 Startups our ML predicted in Q3 2022 to become new Unicorns in future
Highlighting 73 Startups our ML predicted in Q3 2022 to become new Unicorns in future
Highlighting Decacorns: Existing Unicorns with >$10bn Valuation
List of Tables
Q1 2022: Recent Unicorns Predictions Coming True: Highlighting Other Startups
Q2 2022: Recent Unicorns Predictions Coming True: Highlighting Other Startups
Q3 2022: Recent Unicorns Predictions Coming True: Highlighting Other Startups
Q4 2022: Recent Unicorns Predictions Coming True: Highlighting Other Startups
Q1 2022: New Predicted Unicorns: Highlighting Other Startups
Q2 2022: New Predicted Unicorns: Highlighting Other Startups
Q3 2022: New Predicted Unicorns: Highlighting Other Startups
Q4 2022: New Predicted Unicorns: Highlighting Other Startups

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