Every year, the International Association of Deposit Insurers (IADI) quietly does something no single regulator, bank, or vendor could ever pull off alone: it surveys 114 deposit insurance schemes spanning every region on earth and asks them, in effect, “If a bank in your jurisdiction failed tomorrow, could you actually do your job?”
The Deposit Insurance in 2026 – Global Trends Report, released this March, is the answer – twelve years of consistent survey data compressed into one picture of where global depositor protection stands. Read closely, it isn’t really a report about policy. It’s a report about readiness. And readiness, as the numbers make clear, increasingly comes down to one thing: whether a deposit insurer has structured, validated data on hand before a crisis starts, not after.
Deposit Insurance Scheme Payouts Are Getting Faster - About Twice as Fast
A decade ago, only one-third of deposit insurers globally could begin reimbursing depositors within seven working days of a bank failure. By 2024, that share had increased to 70%. The revised IADI Core Principles have since raised expectations further, setting an aspirational target of beginning reimbursement within three working days. Today, 37% of deposit insurers already meet that target.
That’s real, measurable progress. Median reimbursement times in Middle East & Africa fell from over 20 days in 2013 to 6 days in 2024. Asia-Pacific went from 18 days to 5. These aren’t rounding errors – they represent millions of depositors regaining access to their savings in days rather than weeks, precisely when they need it most.
Why Eight Percentage Points Change Everything in Deposit Insurance Scheme
Buried in the reimbursement section is the statistic that, in our view, matters more than any other in the entire report: deposit insurers who have access to depositor records before a bank fails begin reimbursement within seven days 72% of the time. Those who only gain access after insolvency manage it just 64% of the time — and are far less likely to hit the three-day mark (38% versus 28%).
Eight percentage points might not sound dramatic. But it is the entire difference between “resolution-ready” and “resolution-reactive,” expressed in a single data point. An agency that has to request, chase, reconcile, and validate depositor data after a bank has already collapsed is, by definition, starting the clock from a position of disadvantage – no matter how well-intentioned its staff or how generous its coverage limits.
This is also, not coincidentally, why 89% of deposit insurers now say they source depositor information directly from member institutions rather than through intermediaries — up from 81% just four years ago. The trend line is unambiguous: agencies are pulling data governance in-house, closer to source, and earlier in the timeline.
More Responsibility, Same Old Systems
The report also documents a quiet but consequential shift in what deposit insurers are actually responsible for. The narrow “paybox” mandate – collect premiums, pay out depositors, nothing more – has shrunk from 29% of agencies in 2013 to just 14% today, the lowest share ever recorded. Half of all deposit insurers globally now operate under a “paybox plus” mandate, taking on real responsibilities in resolution funding and decision-making. Combined with loss and risk minimisers, 86% of deposit insurers worldwide now have some formal stake in resolution – up from 71% a decade ago.
Here’s the problem: mandates have broadened globally, but unevenly. Paybox mandates remain most common precisely in the Middle East & Africa and Asia-Pacific regions (33% each) – the same regions showing the lowest coverage ratios (17% and 39% of eligible deposit value respectively) and the highest funding gaps relative to target levels. In other words, the regions being asked to do more with their deposit insurance frameworks are often the same regions with the least mature data and funding infrastructure to do it.
That’s not a criticism of any single agency. It’s a structural reality of institutions that, in many cases, are barely two decades old, built at a moment when “paybox” was the sensible starting mandate – and are now being asked to graduate to loss- or risk-minimiser responsibilities without necessarily inheriting the systems built for that scale.
You Can't Price a Risk You Can't See
Globally, ex-ante funds held by deposit insurance schemes now total over USD 400 billion, with the ratio of funds to insured deposits sitting at 2.5%. Differential premium systems – where riskier institutions pay more – have grown from 43% to 62% of schemes over the decade, and unsurprisingly correlate strongly with mandate breadth: 84% of risk-minimiser schemes use them, versus just 32% of paybox schemes.
That correlation is worth sitting with. Differential premiums require exactly the kind of granular, validated, institution-level data that a paybox agency, by design, was never built to collect. You cannot risk-price what you cannot see. Funding maturity and data maturity are, in practice, the same maturity curve viewed from two different angles.
The Technology Question Hiding Inside a Policy Report
Nowhere does the IADI report frame this as a technology story. It’s a survey of mandates, coverage ratios, and fund sizes – the policy vocabulary of the deposit insurance world. But underneath nearly every trend line is the same quiet dependency: faster reimbursement depends on data access; broader mandates depend on the ability to monitor member institutions continuously; risk-based premiums depend on granular submissions the agency can trust; and formal safety-net coordination (which 75% of agencies now have in some form) depends on all parties working from data that means the same thing to everyone.
In practice, that dependency has a name: the Single Customer View. A depositor holding accounts across several member institutions is, at any given moment, only as protected as the agency’s ability to aggregate those positions into one authoritative record. Build that continuously and payout becomes a matter of hours; try to assemble it after a bank has already failed, and the agency is doing under crisis pressure what should have been running quietly in the background all along. It’s a small distinction on paper and, per the report’s own numbers, an eight-point swing in practice.
This is the layer a handful of purpose-built platforms, like our IRIS DIS – have been built specifically to occupy. Rather than adapting banking software or bolting a payout workflow onto a generic reporting tool, platforms in this category are structured around the same four functions the IADI data keeps circling back to: standardised, validated data collection from every member type, including the API-native digital banks and fintechs increasingly entering DIS frameworks; automated premium and fund-adequacy calculation that reflects today’s deposit base rather than last quarter’s; a continuously maintained SCV, matched against national identity infrastructure, rather than a periodic reconciliation exercise; and a live oversight view of institution-level risk and payout readiness rather than a backward-looking quarterly report. None of this substitutes for the policy and mandate decisions that remain squarely with the agency and its legislature. It simply determines whether, when that mandate is invoked, the underlying data is already trustworthy – or being assembled for the first time under pressure.
One Question Worth Asking
The global deposit insurance community is, on the whole, getting faster, broader in mandate, and better funded. But the report’s most important lesson sits in its footnotes rather than its headlines: agencies that treat data access as a pre-crisis discipline consistently outperform those that treat it as a post-crisis scramble. As deposit insurance scheme mandates keep expanding – and IADI’s own data suggests they will – that gap is likely to widen before it narrows.
The question every deposit insurance agency should be asking after reading this report isn’t “how does our coverage ratio compare?” It’s simpler, and harder: if a member bank failed tonight, do we already have the data we’d need – or would we be building it from scratch?
If that question doesn’t have a confident answer yet, it’s worth a closer look at where the gap sits – data access, validation, or oversight. Talk to our deposit insurance team for a view of where your scheme stands against the IADI Core Principles, and which capabilities would close the gap first.


