Cloud financial operations intelligence for banking, insurance, fintech, and asset management. Based on data from 412 financial services organizations.
| Segment | FOI | Waste | Governance | Cloud Spend | Orgs |
|---|---|---|---|---|---|
| Investment Banking | 782 | 16% | 82% | $210B | 89 |
| Commercial Banking | 712 | 23% | 68% | $285B | 134 |
| Insurance | 698 | 25% | 65% | $178B | 98 |
| Fintech | 768 | 17% | 74% | $124B | 67 |
| Asset Management | 734 | 20% | 71% | $56B | 42 |
| Payments | 745 | 18% | 76% | $37B | 38 |
Regulatory compliance adds significant overhead to cloud operations costs. The following illustrative estimates show the typical cost premium by regulation.
Audit trail, access controls, and change management requirements add infrastructure costs.
Payment card data handling requires dedicated network segments and encryption at rest/transit.
Risk modeling and stress testing require significant compute resources and data storage.
Data residency requirements force regional deployments and limit optimization opportunities.
Digital Operational Resilience Act requires redundancy and disaster recovery investments.
Anti-money laundering and Know Your Customer processing drives compute and ML costs.
Core banking workloads are predictable and benefit from 1-3 year commitments.
Monte Carlo simulations and stress testing are fault-tolerant and ideal for spot.
Regulatory data retention (7+ years) moves to cold storage with lifecycle policies.
Intelligent workload routing between regions based on cost and latency requirements.
Consolidating fraud detection and risk models onto shared inference infrastructure.
E = Estimated. All data illustrative.