Plaid secured a $13.4 billion valuation in a 2021 funding round before Visa saw its acquisition blocked, while Visa successfully acquired Tink for $1.8 billion, yet these massive capital events mask a structural void at the heart of the open banking revenue model. Five years after PSD2 forced European banks to open their APIs and three years after the Consumer Financial Protection Bureau finalized its Section 1033 rule to reshape the American market, the ecosystem still lacks a functional mechanism for standalone profitability. This is not a temporary defect awaiting a patch. It is a structurally absent foundation that the industry has collectively decided to ignore while chasing user growth metrics that disguise the underlying commercial rot. The fatal flaw is not adoption, because the pipes are undeniably carrying water. The flaw is that the entity doing the most heavy lifting, the bank, gets paid absolutely nothing, while the aggregator capturing the value possesses no durable moat to justify its margin.
The argument here is blunt because the financial realities demand it. The open banking ecosystem has fundamentally confused infrastructure build-out with business model validation. Growing API call volumes and rising registered user counts simply confirm that the technical routing functions correctly. They tell enterprise buyers and institutional investors nothing about who gets paid, how much they receive, or why any of this architecture is defensible at commercial scale. Right now, the answers to all three of those questions remain deeply unsatisfying for pure-play aggregators.
The Ubiquity Playbook Fails When the Core Input is Free
The dominant narrative sustaining the open banking revenue model runs along a familiar trajectory: get the data flowing first, sign enough developers, reach a critical mass of end-users, and the monetization will inevitably follow. It is the classic platform playbook, and on its face, it appears entirely reasonable. Amazon Web Services did not charge premium enterprise rates on day one, choosing instead to subsidize early adoption. Stripe kept its pricing transparent and simple to drive massive payment volume before layering on premium software tiers. The argument from Plaid, TrueLayer, and their peers has historically been that open banking remains in a comparable land-grab phase, which means patient capital will eventually be rewarded with monopoly margins.
The problem is that the analogy completely collapses under regulatory scrutiny. AWS and Stripe were selling a proprietary product that customers were willing to pay for from the very beginning, and while their marginal unit economics improved with scale, their direction of travel was always pointed toward margin expansion. In open banking, the core data-access layer is mandated by regulators to be entirely free. Banks in the United Kingdom and the European Union are legally required to serve API calls at no charge to third-party providers. That zero-cost baseline is not a clever go-to-market strategy that a startup founder chose to disrupt incumbents. It is a structural ceiling baked directly into the legislation, which means the entire industry is building on a foundation where the primary input of high-quality, real-time account data carries a regulated price of zero at the source.
Faced with this reality, the largest players are actively attempting to escape their original business models. Plaid has spent years trying to climb the value stack by pushing aggressively into identity verification, income verification, and consumer financial health tools. TrueLayer pivoted sharply toward payment initiation, where it can charge per-transaction fees rather than relying on raw data access alone. Both of these strategic shifts are highly rational decisions for management teams facing margin compression. Both are also tacit admissions that the original thesis, the idea that data aggregation alone would generate sustainable revenue, was fundamentally incorrect.
Yapily provides the clearest proof point of this structural failure. The company raised over $69 million and built one of Europe's most technically capable open banking infrastructure layers before being acquired by Mastercard subsidiary Aiia's parent company in a deal that valued it well below its peak. Yapily possessed excellent technology but simply could not handle its way to profitability. While the broader market initially read that outcome as an execution problem, the underlying financial data demonstrates that it was always a model problem.
Four Structural Reasons the Economics Remain Broken
First, the bank has absolutely no commercial incentive to maintain API quality. Under PSD2 and its subsequent iterations, banks must provide access, but the regulatory definition of access remains dangerously loose. Uptime requirements are weak, latency standards are non-binding in practice, and error rate benchmarks are routinely missed without triggering serious regulatory consequences. A fintech building its core product on a bank's API is entirely at the mercy of infrastructure that the bank has every commercial reason to underfund. Lloyds Banking Group and NatWest have both faced documented complaints from third-party providers regarding inconsistent API performance. When the supplier is legally compelled to supply but not commercially motivated to supply well, quality inevitably degrades. This dynamic proves that regulated-free access is not the same as reliable access, and reliability is the exact attribute that enterprise clients actually pay for.
Second, the transaction fee model is structurally thin and highly vulnerable to compression. Payment initiation services represent the area where monetization has been most credible, generating fees in the range of 10 to 20 basis points per transaction in competitive markets, whereas traditional card networks charge merchants between 150 and 250 basis points. Open banking payments are significantly cheaper for merchants, which serves as the primary selling point for adoption. However, that exact same cost advantage is the precise reason margins for the rails operators remain razor-thin. GoCardless stands as one of the most commercially mature account-to-account payment businesses in Europe, having built genuine scale by processing billions in payment volume annually. It has also taken the company years to approach unit economics that can justify its balance sheet. The fee compression that makes open banking attractive to buyers is the exact same force that makes it highly unattractive to build on as a standalone revenue model. The pricing floor is not a temporary market condition awaiting a correction; it is the permanent product of competition, regulation, and network effects all pointing in the same downward direction.
Third, the pure data monetization thesis has been quietly abandoned by the operators who once championed it. The early promise of open banking was that aggregated, permissioned financial data would unlock a highly lucrative new category of insight products. Pitch decks from 2019 promised that credit decisioning, affordability checks, and personalized financial management tools could be sold at premium software-as-a-service multiples. That market certainly exists today, but it is demonstrably smaller and vastly more competitive than early projections suggested. Credit reference agencies such as Experian and Equifax have aggressively moved into open banking data, utilizing their existing enterprise relationships and massive compliance infrastructure to out-distribute pure-play fintechs. When massive incumbents with deeply entrenched contracts and established regulatory relationships enter a new market, margin compresses rapidly for everyone else. Bud Financial, which raised £20 million to build artificial intelligence-driven financial data products, has been forced to pivot its go-to-market strategy multiple times because the direct-to-consumer data insight model proved significantly harder to monetize than the business-to-business infrastructure play.
Fourth, the American market is currently repeating every single European mistake on a five-year delay. The CFPB Section 1033 rule, finalized in late 2024, mandates data portability and sets the regulatory stage for United States open banking at scale. Because the rule is modeled heavily on Europe's PSD2, it carries the exact same structural flaw: data access is treated as a fundamental consumer right rather than a commercial product. American fintechs are currently raising fresh venture capital to build infrastructure on top of a regulatory mandate that, by its very design, prices the core input at zero. The cycle of subsidized growth masking poor unit economics is starting all over again.
The Bull Case for Adjacent Services Falls Short
The strongest counter-argument to this bearish outlook is straightforward: open banking infrastructure companies are no longer trying to monetize raw data access. Instead, they are using data access as a low-cost wedge to sell higher-value services such as fraud detection, identity verification, credit underwriting, and embedded finance orchestration. Under this view, the free-data layer operates simply as a customer acquisition cost rather than a revenue line, leaving the real business to be built in the software stack layered on top of it. Proponents point out that Stripe did not achieve its valuation on payment processing margins alone, but rather made its money on the vast ecosystem of adjacent services surrounding the transaction.
This argument deserves to be taken seriously because it is partially correct in its assessment of product strategy. Plaid's income verification product, which lenders use to check applicant cash flow, carries meaningfully higher margins than its raw data access API. TrueLayer's payment products command transaction fees that simple account reads can never generate. There is undeniably a real business to be built in the adjacent services layer.
However, the rebuttal to this bull case is entirely structural. The adjacent services layer is exactly where every well-capitalized incumbent is already competing fiercely. Visa acquired Tink for $1.8 billion precisely to own that specific stack, while Mastercard bought Finicity for the exact same reason. The global card networks are absolutely not going to let the open banking infrastructure layer undercut their core franchise without fighting back using their own connectivity products, their deeply entrenched enterprise relationships, and their massive compliance infrastructure. Pure-play open banking firms are competing uphill against counterparties that possess vastly better distribution, deeper enterprise contracts, and the regulatory credibility that only comes with decades of operating at global scale.
The specific data that would force a revision of this analysis is clear. If any independent open banking infrastructure firm manages to reach $500 million in annual recurring revenue with gross margins above 60 percent by the end of 2027 without being acquired, the standalone thesis will be validated. That milestone has not happened yet. Until it does, the thesis that incumbents will ultimately win this space holds firm.
Who Absorbs the Risk and Who Captures the Value
The broken revenue model does not affect all market participants equally. The commercial implications diverge sharply depending on where a specific company sits within the broader financial technology stack.
Institutional Investors
Any open banking infrastructure business still carrying a valuation multiple from the 2021 funding peak is a write-down waiting to happen. The private market has been notoriously slow to reprice these assets, partly because high-profile mergers and acquisitions have provided artificial cover. Visa buying Tink, Mastercard acquiring Aiia, and Mastercard purchasing Finicity were all strategic acquisitions executed by card networks desperate to protect their flanks, not market validations of standalone business models. Institutional investors holding positions in pure-play open banking aggregators should be asking their portfolio companies one highly specific question: what exact percentage of current revenue comes from services that would survive if a major bank simply improved its own API documentation and made the data directly available to enterprise clients. If the answer is less than 40 percent, the competitive moat is significantly thinner than the management deck suggests.
The near-term trigger for this repricing event is the next round of European PSD3 implementation deadlines. These new rules are expected to tighten API quality requirements in ways that will commoditize the connectivity layer even further, which will inevitably accelerate margin compression for any aggregators that have not successfully climbed the value stack into proprietary software.
Enterprise Buyers
For banks, lenders, and large fintechs currently buying open banking connectivity as a managed service, the broken revenue model actually presents a massive short-term commercial opportunity. Vendor desperation to close enterprise contracts and show top-line revenue growth means that pricing is highly negotiable today in ways it will not be if market consolidation eventually reduces the number of credible suppliers. GoCardless, Plaid, and TrueLayer are all aggressively competing for the exact same enterprise accounts. A corporate procurement team that actively plays these vendors against each other today will secure vastly better terms than a team that waits for the market to consolidate around two or three surviving utilities. The concrete trigger for buyers is to issue requests for proposals immediately, locking in multi-year contracts before PSD3 compliance requirements create a wave of mandatory re-contracting that shifts pricing power back to the suppliers.
On top of that,, enterprise buyers must begin building API access redundancy directly into their vendor contracts. Supplier concentration risk within open banking infrastructure remains dangerously underappreciated by most chief technology officers. If a primary connectivity provider is acquired by a competitor or forced into a distressed sale, the buyer's API compatibility, uptime commitments, and pricing structures are all immediately put at risk.
Product and Engineering Teams
Software teams building consumer or commercial products on top of open banking rails need to treat the connectivity layer as a pure commodity from day one and design their architecture for smooth provider portability. The engineering cost of building an abstraction layer is real, but it is vastly smaller than the catastrophic cost of rebuilding core integrations when a vendor is acquired or abruptly repriced. The fintech teams that built deep, proprietary integrations on Plaid's original data access APIs before the company instituted major pricing changes in 2022 learned this lesson at great expense. Engineering leaders must build thin wrappers around their data aggregators. They should treat open banking connectivity the exact same way they treat a cloud database, assuming the provider will inevitably change and designing the system accordingly. The companies that execute this abstraction strategy will be able to migrate their traffic to whoever wins the coming consolidation wave without suffering through a full platform rebuild.
Two Testable Predictions for the Next Three Years
The argument presented here resolves into two highly specific, testable predictions regarding the future of the open banking infrastructure market.
First, by the end of 2026, at least two of the five largest independent open banking infrastructure companies currently operating in Europe will either accept strategic acquisition offers or announce material pivots away from connectivity as a primary revenue line. The most likely candidates for this outcome are the firms still reporting API call volume growth as their primary key performance indicator while simultaneously disclosing mounting operating losses. The ultimate acquirers will be global card networks, large banks, or massive cloud infrastructure providers looking to add financial data to their enterprise suites. The catalyst for these exits will be PSD3 implementation pressure, which will force a round of strategic board-level decisions that simply cannot be deferred any longer.
Second, in the United States, the CFPB Section 1033 ecosystem will fail to produce a single profitable, standalone open banking infrastructure company by the end of 2027. The American market will follow the exact European pattern: infrastructure builds out rapidly, margin compresses immediately, and incumbents consolidate the survivors. Plaid will face a stark set of choices. It will either be acquired, go public at a massive discount to its previous 2021 valuation, or complete a total pivot into a broad financial services platform that looks absolutely nothing like its original data aggregation thesis.
Open banking infrastructure is a real technological achievement. It works flawlessly in production, and the digital pipes successfully carry the water they were designed to route. The fundamental problem is that nobody ever figured out who actually pays for the maintenance of those pipes, and five years into this experiment, that failure is no longer just an awkward phase. It is the permanent reality of the business model.
Isn't open banking just early-stage? Don't new markets always look unprofitable before reaching scale?
The defense that open banking is simply too early in its lifecycle officially expired around 2022. PSD2 launched in 2018, and the United Kingdom's specific open banking framework has been live and operational since 2019. Europe has had nearly a full decade to produce a single profitable standalone infrastructure business, and it has completely failed to do so. When Yapily, widely recognized as one of Europe's most technically capable aggregators, sold at a distressed valuation after raising over $69 million in venture capital, that outcome was not a symptom of market immaturity. That was a definitive commercial verdict. Markets that are genuinely early still manage to produce a few breakout winners over the course of a decade. Open banking infrastructure, by contrast, has produced only acqui-hires and strategic defensive buys, completely failing to generate standalone profitable companies.
What about open banking payments? Account-to-account is growing fast, so isn't that the definitive revenue model?
Account-to-account payments are undeniably growing in transaction volume, but fee compression is growing significantly faster. GoCardless processes billions in payment volume annually and has still taken years to approach sustainable unit economics at its current fee structure. The fundamental problem is that open banking payments rely on a core value proposition to merchants: they are cheaper than traditional credit cards. That inherent promise creates a perpetual, unbreakable ceiling on transaction revenue. On top of that,, Visa and Mastercard are not standing still; they are actively building their own account-to-account rails, utilizing their massive existing merchant relationships to compete fiercely on the exact same ground. GoCardless and TrueLayer are running a grueling marathon where the finishing line keeps moving further away.
If regulators mandated free API access, cannot regulators also fix the revenue model?
Regulators created this structural problem in the first place and remain the least likely actors to solve it. PSD3, the European Union's upcoming update to open banking rules, tightens API quality requirements and expands the overall scope of accessible data. However, it explicitly does not create a compensation mechanism for the banks providing the access, nor does it establish a protected fee framework for the infrastructure providers routing it. The Financial Conduct Authority's open banking roadmap in the UK similarly focuses entirely on expanding access categories rather than designing monetization frameworks. Regulators optimize their rules for consumer access and market competition, not for supplier economics. The revenue model fix, if it ever arrives, will come strictly from brutal market consolidation, not from benevolent policy adjustments, and consolidation inherently means fewer players rather than a healthier, diverse ecosystem.
Related MarketIntel briefing: read The Open Banking Revenue Model is Structurally Broken: Why Infrastructure Did Not Translate to Economics for a connected view on this market signal.
Source context: readers can compare this market signal with broader data from S&P Global.