Key Findings
Private Value
FinTech innovations create substantial value for innovators, with median private value of $35 million compared to $2.3 million for non-FinTech financial innovations. Blockchain ($98.1M), cybersecurity ($52.9M), and robo-advising ($49.1M) are the most valuable categories.
Industry Impact
IoT ($18.3B), robo-advising ($11.6B), and blockchain ($6.1B) bring the highest median value to the financial sector. However, some FinTech categories can have negative industry-wide effects by enabling increased competition.
Market Leaders
Market leaders who invest heavily in R&D can better withstand disruption from FinTech startups. Higher R&D intensity helps reduce negative value impacts from disruptive innovation by approximately 16%.
Private Value of FinTech Innovation Categories
- Blockchain innovations show highest median private value at $98.1M
- Cybersecurity and robo-advising follow at $52.9M and $49.1M respectively
- Data analytics shows negative median value of -$45.3M
Industry-Wide Value Impact
- IoT shows highest positive industry impact at $18.3B
- Robo-advising and blockchain demonstrate significant positive value
- Data analytics shows most negative industry impact at -$5.9B
Innovation Activity Over Time
- FinTech patent applications increased approximately fourfold from 2003 to 2017
- Surge in innovation activity particularly notable from 2010 to 2014
- Blockchain emerged as third-largest category by 2017 despite only appearing in 2015
Contribution and Implications
- First large-scale empirical evidence on the value and impact of FinTech innovation using comprehensive patent data
- Demonstrates how different FinTech technologies create varying levels of value for innovators and industries
- Shows importance of R&D investment for incumbent firms facing FinTech disruption
Data Sources
- Private value chart based on Table 7 - showing median private values for each FinTech category
- Industry value impact chart based on Table 9 - showing median industry-wide value effects
- Innovation trend chart based on Figure 1 - showing normalized frequencies of patent applications over time