Future Unicorns in Fintech

This report analyzes the top 50 Fintech startups from the “The publisher Startup Scorecard” that has the potential to become unicorns (valuation more than US$1bn) based on the The publisher’s Unicorn Prediction Model. The model is based on a proprietary machine learning (ML) algorithm which analyzes millions of data points related to venture capital (VC) investment activity for startups and can predict future unicorns.

Whether to enhance efficiency in the usage of financial services provided by existing financial companies or to increase customer retention through speed and convenience, startups are transforming the Financial Services & allied sectors by tech driven solutions. Ranging from digital payments to Insurtech or from mobile banking to cross-border payments, startups aim to disrupt finance using modern technologies and innovative business models to attract various new-age consumers. COVID-19 has certainly provided tailwinds to the sector, as more consumers turned to Fintech solutions to manage their finances. A whole raft of innovative Fintech startups with cutting-edge expertise spanning sectors are predicted to become tomorrow’s unicorns

The report highlights potential unicorns in the Fintech market ecosystem and covers insights on VC investments, stage of startups, Fintech regional investment activity, job analytics, company filing trends, and patenting activity. Comprehensive view on innovative Fintech startups with cutting-edge expertise spanning across sectors are predicted to become tomorrow’s unicorns.

Scope

• Based on The publisher’s proprietary ranking of 10,000 top startups, 120 Fintech startups globally are shortlisted, of which 50 startups are predicted to become future unicorns based on The publisher’s proprietary Machine Learning Model. The 10,000 top startups are spread over 70 countries with the US accounting for half of them, followed by China.
• Critical sectors in the startup universe include TMT (55%), Pharmaceuticals and Healthcare (11%), Financial Services (7%), and Retailing (4%), followed by other sectors.
• Predicting Future Fintech Unicorns by combining Startup Scorecard and Machine Learning model using 3 broad Patenting, Hiring and Investments trends in Fintech Startups over the years. Unicorn Prediction came out to be true in recent years.

Reasons to Buy

• The publisher's Potential Unicorns list offers early predictive intelligence and enables to spot tomorrow's winners today.
• The model identifies venture funded companies which have the potential to become unicorns (a valuation of at least $1 billion) driven by The publisher's proprietary machine learning algorithm which decodes millions of interactions between key deal attributes.