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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