Fintech
Charts
Tech challenges
Central bank fintech departments say keeping up with new developments is their number one challenge, though this is much more commonly reported as a challenge in emerging market jurisdictions. Adapting legacy systems and maintaining cyber security are the joint second place concerns.
For the full breakdown, use the benchmarking service’s interactive charts to explore the data.
Fintech Benchmarks 2024 – model banks analysis
Data reveals how advanced and emerging economy central banks structure their fintech functions
Fintech Benchmarks 2024 report – the promise and threat of AI
Data reveals how central banks are developing CBDC, tapping into AI tools and using cloud services
Most central banks’ cloud services are software-focused
Operational environment is largely hybrid and public, while access to server is often domestic
Fintech employees trained in AI in just over one-third of central banks
Senior management staff are least trained across jurisdictions
AI being adopted in over half of central banks
Supervision, document automation, data analysis and research are primary areas of use
Regtech strategy still lacking in majority of central banks
Stress testing, AML/CFT risk and reporting are top areas of application
Suptech strategy adoption remains below 50%
Resource constraints and data quality issues are still barriers
Nearly all central banks see CBDC as environmentally friendly
Few jurisdictions see initiative as comparable to banknotes’ lifecycle
Central banks fear CBDC will heighten cyber threats
European jurisdictions less likely to be deterred by security concerns
Improving domestic payments efficiency drives retail CBDC research
Barriers to adoption include concerns around privacy, disintermediation and operational risk
Wholesale CBDC work remains less popular than retail
Like retail, central banks say domestic payments efficiency is key driver
One in four central banks exploring blockchain, DLT and tokenisation
No respondents say they are researching or collaborating on quantum computing