The 2026 Global Payments Report: Operational Excellence in an Invisible World
Summary
Global payments is banking's largest revenue pool, at about $2.6T in revenue from 3.8T transactions. Growth is slowing from 9% a year (2020-2025) to about 4% a year (2025-2030), reaching $3.2T by 2030. At the same time, checkouts are moving into software, so value shifts from front-end screens to the control layer: machine identity, consent, dynamic routing and policy guardrails. The report covers 3 areas: shifting sources of revenue, fragmenting regional payment rails, and agentic commerce, which could put $75B of legacy fees at risk while unlocking about $110B in annual productivity. It closes with strategic priorities for banks and for payments operators and networks.
Key Insights
- Payments generates about $2.6T in revenue, roughly 41% of total banking revenue, and will reach $3.2T by 2030 (about $600B of added revenue).
- Annual growth will slow from 9% (2020-2025) to about 4% (2025-2030), and growth will come from operational discipline, pricing and balance sheet management rather than volume.
- Fee income will rise from 54% to 56% of the pool by 2030, while net interest income falls from 46% to 44%.
- A sustained 25-basis-point rate increase from 2026 would add about $100B to industry revenues by 2030.
- Latin America will grow fastest at 7% a year, while Europe, the Middle East and Africa slow to 3% (down from 14%).
- Payment rails are fragmenting into 3 archetypes: card-resilient, instant-dominant and leapfrog markets.
- Payments IT spending will grow about 9% a year through 2030, more than double the 4% revenue growth.
- Stablecoins and tokenized deposits mainly serve wholesale corporate settlement, not retail point-of-sale payments.
- Agentic AI could put about $75B of revenue at risk by 2030 (up to $160B in an aggressive scenario), made up of $65B in deposit income and $10B in card revenue.
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About the Author
Christian Blem Charity
Senior AI Product Leader and ex-Deloitte consultant focused on enterprise AI and automation.
Phil Slorick is an operational architect focused on helping organizations integrate artificial intelligence into core business processes. His expertise includes workflow automation, operational efficiency, enterprise systems, and scalable AI implementation. He writes about practical AI adoption, business operations, digital transformation, and building intelligent organizations.