A comprehensive competitive intelligence assessment of how fintech challengers are reshaping retail banking — analysing market share shifts, technology advantages, and strategic response options for incumbents.
The retail banking sector is undergoing the most significant structural transformation in its modern history. A generation of fintech challengers — neobanks, payment platforms, alternative lenders, and embedded finance providers — has moved from the periphery to the mainstream, capturing meaningful market share and fundamentally resetting customer expectations for speed, transparency, and digital experience quality.
This competitive intelligence report analyses 340 financial institutions across 28 markets — comprising 180 traditional banks, 95 neobanks and digital challengers, 40 payment and lending platforms, and 25 embedded finance providers. Our analysis spans five years of financial data (2019-2024), proprietary customer experience benchmarking across 48,000 consumers, and technology architecture assessments of 60 institutions conducted in partnership with K3i's Technology Practice.
The headline finding is stark: fintech challengers have captured approximately 23% of new retail banking relationships opened since 2020, with acceleration in 2023-2024. In specific product categories — payments, foreign exchange, and unsecured personal lending — digital-first providers now hold majority market share in several major economies. Neobanks operate at a cost-to-serve that is 4.2 times lower than the average traditional bank, creating a structural cost advantage that compounds over time.
Yet the picture is more nuanced than a simple disruption narrative. Traditional banks retain decisive advantages in trust, regulatory capital, product breadth, and the deposit base that funds lending. Several incumbents have mounted effective counter-strategies — through digital transformation, strategic partnerships, and targeted acquisitions — that demonstrate how established institutions can compete in a fintech-defined landscape. The winners in 2025-2028 will not be the institutions with the most advanced technology alone, but those that combine technological capability with the trust, scale, and regulatory standing that incumbents uniquely possess.
Retail banking remains one of the largest segments of the global financial services industry, generating approximately $2.3 trillion in annual revenue across deposit-taking, lending, payments, and wealth management products. The sector serves over 5 billion individuals globally and underpins the financial infrastructure of every major economy.
The traditional retail banking revenue pool is composed of four primary streams: net interest income (approximately 55% of total revenue), fee and commission income from payments and transactions (22%), lending-related fees including origination and servicing (15%), and wealth and investment product distribution (8%). Each of these revenue pools is under competitive pressure from fintech challengers, though the intensity and nature of disruption varies significantly by category.
Net interest income — the core of traditional banking profitability — has been partially insulated by the interest rate environment of 2022-2024, which restored healthy margins after a prolonged low-rate era. However, digital challengers are increasingly competing for deposits through higher savings rates enabled by their lower operating cost structures, and alternative lending platforms are compressing margins on unsecured consumer credit.
Despite favourable rate conditions, the average return on equity for traditional retail banks in our sample was 9.8% in 2024 — below the estimated cost of equity for most institutions. Cost-to-income ratios averaged 62%, with the most efficient traditional banks operating at approximately 48% and the least efficient exceeding 75%. By contrast, the most mature neobanks that have achieved profitability operate at cost-to-income ratios of 28-35%, demonstrating the structural efficiency advantage of cloud-native, branchless operating models.
Branch networks remain the single largest cost centre for traditional retail banks, accounting for 35-45% of total operating expenses. Global branch counts declined by approximately 22% between 2017 and 2024, yet most incumbents retain extensive physical footprints driven by a combination of regulatory expectations, legacy lease obligations, and the persistent (if diminishing) customer preference for in-person service for complex products. Our consumer research found that 73% of customers aged 18-34 have not visited a bank branch in the past twelve months, compared with 31% of customers aged 55 and above — suggesting that branch economics will continue to deteriorate as demographic shifts play out.
Perhaps the most consequential structural challenge facing incumbent banks is their technology estate. Our technology assessments found that the average traditional bank operates on a core banking platform that is 25-35 years old, with multiple layers of middleware and integration connecting legacy mainframes to customer-facing digital channels. Annual technology spending for traditional banks averages 15-20% of total revenue, yet an estimated 70-80% of this expenditure is consumed by maintaining existing systems rather than building new capabilities. This maintenance burden creates a compounding disadvantage: the more an institution spends on keeping legacy systems operational, the less it can invest in the modern capabilities that customers increasingly demand.
The fintech ecosystem has matured considerably since the first wave of digital challengers launched in 2013-2015. What began as a collection of single-product disruptors has evolved into a diverse ecosystem of scaled platforms, each pursuing distinct competitive strategies. We categorise the landscape into four primary segments.
Neobanks — fully digital banks that operate without a traditional branch network — represent the most direct competitive threat to incumbent retail banks. The sector has grown from a handful of experimental startups to a global category serving an estimated 400 million accounts worldwide. Leading neobanks in Europe (including institutions operating across the UK, Germany, France, and the Nordics), the Americas (Brazil, the United States, Mexico), and Asia-Pacific (Australia, South Korea, India) have each surpassed 20 million customer milestones.
The neobank model has evolved through three distinct generations:
The critical transition from Generation 2 to Generation 3 has been the shift from customer acquisition to customer monetisation. Early neobanks grew rapidly by offering free accounts with minimal friction, but many struggled to convert these accounts into profitable primary banking relationships. The most successful Generation 3 neobanks have achieved primary bank status with 35-45% of their customer base — meaning customers deposit their salary, maintain their primary spending relationship, and hold multiple products — compared with 10-15% for Generation 1 models.
Payment platforms have been among the most successful fintech categories, with several operators achieving market capitalisations that rival or exceed major traditional banks. These platforms originally emerged to solve specific payment friction points — online checkout, peer-to-peer transfers, cross-border payments — but have progressively expanded into adjacent financial services.
The competitive threat from payment platforms extends across multiple dimensions: they control the point of transaction (creating a powerful data and distribution advantage), they serve both consumers and merchants (enabling two-sided network effects), and they increasingly offer lending, savings, and insurance products embedded within the payment experience. For traditional banks, the risk is disintermediation from the transaction layer — if customers conduct their daily financial lives through a payment platform, the bank becomes a utility provider of account infrastructure rather than a primary financial relationship.
Alternative lending platforms — encompassing peer-to-peer lending, marketplace lending, buy-now-pay-later (BNPL) providers, and AI-driven credit platforms — have captured significant share of the unsecured consumer lending market and are making inroads into small business lending, auto finance, and even mortgage origination.
The competitive advantages of lending platforms centre on three capabilities: faster decisioning (minutes versus days for traditional banks), superior risk models leveraging alternative data sources (transaction data, behavioural signals, open banking information), and lower distribution costs (digital-only with no branch overhead). In our analysis, the top-quartile alternative lending platforms achieved approval-to-funding times of under four hours for personal loans, compared with an average of five to seven working days for traditional banks.
Embedded finance — the integration of financial services into non-financial platforms and customer journeys — represents the newest and potentially most transformative category of fintech disruption. Rather than competing with banks directly for customer relationships, embedded finance providers enable non-bank brands (retailers, technology companies, mobility platforms, healthcare providers) to offer financial products seamlessly within their own ecosystems.
The embedded finance market was valued at approximately $92 billion in revenue in 2024, with projections suggesting growth to $320-380 billion by 2029. For traditional banks, embedded finance creates a paradoxical competitive dynamic: banks can participate as infrastructure providers (supplying the regulated banking licence, balance sheet, and compliance framework behind embedded products), but in doing so they cede the customer relationship and associated data to the non-bank platform.
The aggregate impact of fintech disruption on retail banking market share is significant and accelerating, though it varies substantially by product category, geography, and customer segment.
Our analysis of new retail banking relationships opened between 2020 and 2024 reveals a decisive shift toward digital-first providers. Across the 28 markets in our study, fintech challengers captured approximately 23% of all new primary banking relationships — up from 8% in 2019. In certain markets — the UK, Brazil, South Korea, and the Nordics — the figure exceeds 35%. Among customers aged 18-29, fintech challengers now win more than 50% of new primary banking relationships in 12 of our 28 study markets.
| Product Category | FinTech Share 2020 | FinTech Share 2024 | Change |
|---|---|---|---|
| Current / Checking Accounts | 9% | 23% | +14 pp |
| Payments (P2P & C2B) | 34% | 56% | +22 pp |
| Personal Loans (Unsecured) | 18% | 38% | +20 pp |
| Cross-Border FX / Remittance | 28% | 52% | +24 pp |
| Savings / Deposits | 5% | 16% | +11 pp |
| Mortgages | 3% | 8% | +5 pp |
| Business Banking (SME) | 7% | 19% | +12 pp |
Fintech challengers benefit from dramatically lower customer acquisition costs. Our benchmarking found that the average customer acquisition cost for a neobank (combining marketing, onboarding, and activation expenditure) is approximately $28-45, compared with $250-400 for a traditional bank acquiring a current account customer through branch and mass-media channels. Even when traditional banks use digital acquisition channels exclusively, their costs remain 2-3 times higher than neobanks, reflecting more cumbersome onboarding processes, lower conversion rates, and weaker digital brand equity among younger demographics.
While fintech challengers have excelled at winning new relationships — particularly current accounts and payments — the deposit base remains a critical incumbent advantage. Traditional banks hold approximately 84% of total retail deposits globally, and deposits represent both the lowest-cost funding source for lending and a powerful indicator of customer loyalty. However, the deposit advantage is eroding: neobanks have attracted significant deposit growth by offering savings rates 100-200 basis points above traditional bank offerings, enabled by their lower cost structures. In the UK market, for example, challenger banks grew their deposit base by 42% in 2023-2024, compared with 3% growth for the five largest traditional banks.
The deposit base is the last great moat for incumbent banks. The question is not whether fintechs will compete for deposits — they already are — but whether incumbents can defend enough of this advantage to maintain their cost-of-funds benefit while investing in the digital capabilities needed to retain the next generation of customers.
Technology architecture is the most consequential source of competitive divergence between fintech challengers and incumbent banks. Our technology assessments, conducted across 60 institutions, reveal structural differences that affect cost, speed, resilience, and innovation capacity.
Fintech challengers were born in the cloud era and built their technology estates accordingly. The typical neobank operates entirely on public cloud infrastructure (AWS, Google Cloud, or Azure), with microservices-based architecture, containerised deployment, and continuous integration/continuous delivery (CI/CD) pipelines that enable multiple production releases per day. By contrast, the typical traditional bank operates a hybrid estate: customer-facing digital channels hosted in cloud or private data centres, connected through integration middleware to core banking systems running on mainframes or early client-server architectures in on-premises data centres.
The implications of this architectural divide are profound:
An API-first architecture — where every capability is exposed as a programmatic interface that can be consumed by internal systems, partners, and third parties — is a hallmark of fintech challengers. This approach enables rapid product development (new products are assembled from existing API building blocks), seamless integration with partner ecosystems (embedded finance, marketplace models), and open banking compliance as a native capability rather than a retrofit.
Traditional banks have invested heavily in API layers in response to regulatory mandates (PSD2 in Europe, CDR in Australia) and competitive pressure. However, most have built API gateways as a veneer over legacy systems rather than re-architecting their platforms as API-first. The result is APIs that are slower, less reliable, and less comprehensive than those offered by fintech competitors — creating friction for developers and partners that limits the incumbent's ability to participate in platform and embedded finance ecosystems.
Artificial intelligence and machine learning represent an area of intense competition where fintechs hold a structural advantage in data architecture but incumbents hold an advantage in data volume. Fintech challengers' cloud-native platforms are purpose-built for ML workloads, with unified data lakes, real-time feature stores, and streamlined model deployment pipelines. Traditional banks possess vast quantities of historical customer data but often struggle to make this data accessible for ML applications due to data silos, legacy formats, and governance constraints.
The most impactful AI/ML applications in retail banking include credit risk scoring (where alternative data and ML models can assess 30-40% more applicants than traditional scorecards), fraud detection (where real-time behavioural analysis reduces false positives by 50-70%), customer personalisation (where predictive models drive 2-3 times higher product uptake), and operational automation (where natural language processing and robotic process automation reduce manual processing costs by 40-60%).
Customer experience has become the primary competitive battleground in retail banking. Our proprietary benchmarking — based on surveys of 48,000 consumers across 28 markets, supplemented by mystery shopping exercises across 120 institutions — provides a granular view of where fintechs excel and where incumbents retain advantages.
The digital NPS gap between fintechs and traditional banks is the single most striking finding in our consumer research. The average digital NPS for neobanks in our sample is +62, compared with +11 for traditional banks — a 51-point gap. The gap is even larger for specific interactions: account opening (+74 vs +8), international transfers (+68 vs -4), and dispute resolution (+45 vs +2). Traditional banks outperform fintechs in only two areas: mortgage advice (+38 vs +22) and complex wealth planning (+41 vs +15), both categories where human expertise and established trust remain decisive.
| Experience Dimension | Neobank Average NPS | Traditional Bank Average NPS | Gap |
|---|---|---|---|
| Overall Digital Experience | +62 | +11 | 51 pts |
| Account Opening | +74 | +8 | 66 pts |
| International Transfers | +68 | -4 | 72 pts |
| In-App Customer Support | +52 | +14 | 38 pts |
| Lending Application | +48 | +6 | 42 pts |
| Mortgage Advice | +22 | +38 | -16 pts |
| Wealth / Investment Planning | +15 | +41 | -26 pts |
Account opening time is a powerful proxy for the broader customer experience difference between fintechs and traditional banks. Our mystery shopping exercises found that the median time to open a fully functional current account with a neobank — from initial app download to receiving a virtual card and making a first transaction — was 6 minutes. The equivalent process at a traditional bank (using its digital channel) averaged 3-5 working days, with some institutions requiring in-branch identity verification that extended the process further.
The onboarding experience shapes lasting customer perceptions. Our research found that customers who completed account opening in under 10 minutes reported NPS scores 34 points higher at the 90-day mark than those whose onboarding took more than 48 hours — even when subsequent product quality was identical. First impressions, it appears, are disproportionately durable in financial services.
The pace at which financial institutions ship new features and improvements has emerged as a meaningful competitive differentiator. Our analysis tracked feature releases across 60 institutions over a 12-month period. Neobanks averaged 186 customer-facing feature releases per year, compared with 24 for traditional banks. More importantly, the quality and relevance of these releases differed: fintech releases were overwhelmingly driven by customer feedback and usage data, while traditional bank releases were more frequently driven by regulatory requirements and internal process optimisation.
Customer experience is not won through any single feature — it is the compound effect of thousands of small improvements, shipped consistently, in response to real customer needs. The institution that learns fastest wins.
Fintech challengers are not simply competing for the same revenue pools as traditional banks — they are restructuring the economics of retail financial services in ways that challenge the fundamental profitability assumptions of incumbent business models.
Card interchange fees — historically a reliable income stream for traditional banks — are under dual pressure from regulatory intervention (interchange caps in the EU, Australia, and India) and competitive displacement. Neobanks have used attractive interchange-sharing models (cashback, rewards) to capture card spending volume, while payment platforms have created alternative payment rails that bypass card networks entirely. The net effect is a compression of payment-related revenue per customer of approximately 18-25% over the past five years for traditional banks in regulated markets.
Alternative lending platforms have compressed margins in unsecured consumer lending by operating with lower overhead and by using superior risk models that enable more granular pricing. Where traditional banks typically use 5-8 risk bands for personal loan pricing, leading fintech lenders operate with 50+ risk segments, offering lower rates to creditworthy borrowers (attracting the best risks) and pricing higher for elevated-risk applicants that traditional banks would decline entirely. The result is adverse selection pressure on incumbents: they lose the best borrowers to lower fintech rates while retaining a higher proportion of elevated-risk customers.
Several leading neobanks have introduced subscription-based pricing that fundamentally changes the customer value proposition. Premium subscription tiers (typically priced at $8-18 per month) bundle services that traditional banks either charge for individually (international ATM withdrawals, foreign exchange, travel insurance, lounge access) or provide free but cross-subsidise through opaque margin structures. Subscription models create predictable recurring revenue, encourage product engagement, and establish a transparent value exchange that resonates particularly strongly with younger demographics sceptical of traditional bank fee structures.
The most ambitious fintech challengers are evolving from product providers to platform operators — hosting third-party financial and non-financial products within their ecosystems and earning distribution fees, referral commissions, and data licensing revenue. This platform model has the potential to be significantly more capital-efficient than traditional banking, as it generates fee income without requiring the balance sheet commitment of lending or the regulatory capital of deposit-taking.
A leading European neobank, launched in 2015, grew from a single-product travel card to a comprehensive financial platform serving over 35 million customers across 38 markets. The institution achieved sustained monthly profitability from mid-2023 and annualised revenues exceeding $2.2 billion by late 2024.
Key competitive strategies:
A Latin American fintech, founded in 2013, began as a mobile payments platform in a market where 55% of the adult population was unbanked. By 2024, the platform served over 85 million individual users and 14 million businesses, having expanded from payments into banking, lending, insurance, investments, and e-commerce.
Key competitive strategies:
A US-based fintech, launched in 2019, built a business banking platform designed specifically for small and medium enterprises (SMEs) — a segment that traditional banks have historically underserved due to the complexity and cost of serving diverse small business needs at scale.
Key competitive strategies:
A major European universal bank, facing customer losses to neobank competitors and declining current account openings among under-35 demographics, launched a separate digital-only banking brand in 2020. The digital subsidiary operates with its own brand identity, technology stack, product roadmap, and leadership team — functioning as a startup within the group.
Results after four years:
A top-10 US bank undertook a comprehensive multi-year technology transformation, committing $12 billion over five years to modernise its core banking platform, migrate workloads to the cloud, build an API marketplace, and develop AI/ML capabilities. Rather than building a separate digital brand, this institution chose to transform the mothership — upgrading the core technology while maintaining the existing brand and customer relationships.
Results after three years of execution:
A mid-tier Asian bank pursued an acquisition-led strategy, purchasing three fintech companies between 2021 and 2024: a payments platform, a personal finance management app, and a small business lending platform. The strategy was to acquire capabilities and customer bases that would take years to build organically, then integrate them into the bank's existing infrastructure.
Results were mixed:
Acquiring a fintech is straightforward. Integrating it without destroying the very qualities that made it valuable — speed, culture, talent, customer experience — is one of the hardest challenges in financial services management.
Regulation is a defining variable in the competitive dynamics between fintech challengers and incumbent banks. It can act as a barrier to entry that protects incumbents, as an enabler that empowers challengers, or as a levelling force that reshapes the competitive playing field for all participants.
Open banking regulation — mandating that banks share customer data (with customer consent) through standardised APIs — has been one of the most significant regulatory enablers of fintech competition. The UK's Open Banking framework (live since 2018) and the EU's PSD2 directive created the technical and legal infrastructure for third-party access to banking data, enabling a generation of fintech applications that offer account aggregation, payment initiation, automated savings, and AI-driven financial advice.
The evolution toward open finance — extending data sharing beyond banking to insurance, pensions, investments, and mortgages — will further expand the competitive surface area. For incumbents, open banking has been a double-edged sword: it compels them to share data that was previously a proprietary advantage, but it also creates opportunities to consume data from other providers and to participate in platform ecosystems as both data providers and data consumers.
Banking licence requirements and prudential regulation (capital adequacy, liquidity, stress testing) remain the most significant barrier protecting incumbents from fintech competition. Full banking licences require substantial capital commitments, regulatory expertise, and ongoing compliance infrastructure that many fintechs have been slow or unable to acquire. However, the regulatory landscape is evolving: several jurisdictions have introduced tiered or specialised licensing regimes that lower the barrier to entry while maintaining prudential standards. Neobanks that have obtained full banking licences — enabling direct deposit-taking and lending — have consistently outperformed those operating under e-money or agent banking frameworks.
Consumer protection regulation is increasingly being extended to cover fintech products and services, including BNPL lending, crypto-related financial products, and AI-driven credit decisioning. This regulatory convergence is partially levelling the playing field: fintech challengers that previously operated in less regulated spaces are now subject to compliance costs and operational constraints that more closely resemble those of traditional banks. Conversely, some regulatory developments — such as the EU's AI Act, which imposes transparency and accountability requirements on automated decision-making — may disproportionately affect fintechs whose business models are built on proprietary AI systems.
Based on our analysis of 180 traditional banks and their competitive positioning, we propose a strategic response framework comprising five interconnected pillars that incumbents should address to compete effectively in a fintech-disrupted landscape.
The minimum requirement for incumbents is to achieve digital experience parity with fintech challengers — eliminating the most egregious experience gaps (slow onboarding, clunky mobile apps, manual processes) that drive customer attrition. Our research suggests that customers do not require incumbents to match neobank NPS scores across every interaction — but they will not tolerate an experience that feels a decade behind. The target should be to close the NPS gap to within 15-20 points on core digital interactions within 18-24 months, then pursue experience superiority in areas where incumbents have natural advantages: complex product advice, multi-product integration, and trust-intensive interactions.
Core banking modernisation is the most expensive, time-consuming, and strategically important investment an incumbent bank can make. Our analysis of successful modernisation programmes identified three viable approaches: progressive modernisation (migrating functionality from legacy to modern platforms incrementally, typically over 5-7 years), parallel build (constructing a new platform alongside the existing one and migrating customers in waves), and core-banking-as-a-service (adopting a third-party cloud-native core banking platform to replace legacy systems). Each approach involves trade-offs between cost, risk, speed, and competitive impact — and the right choice depends on the institution's scale, complexity, and strategic ambition.
Incumbents possess a data asset — decades of customer transaction history, credit performance data, and relationship information — that fintech challengers cannot replicate. The strategic imperative is to make this data accessible, usable, and actionable through modern data infrastructure and AI/ML capabilities. Institutions that build a unified data platform, invest in ML engineering talent, and embed AI-driven decisioning into customer-facing and operational processes can leverage their data advantage to compete with fintechs on personalisation, risk management, and operational efficiency.
Retail banking is evolving from a vertically integrated industry to a platform ecosystem. Incumbents must define their role in this ecosystem: will they be full-stack providers (offering all products through their own channels), platform operators (hosting third-party products alongside their own), infrastructure providers (supplying regulated banking infrastructure to non-bank distributors), or some combination? The ecosystem strategy should align with the institution's competitive advantages and determine its approach to partnerships, API strategy, embedded finance, and marketplace development.
Technology modernisation without cultural transformation produces new platforms operated in old ways. Incumbents must attract and retain technology talent that has historically preferred fintech and technology employers, cultivate a culture of experimentation and rapid iteration, and redesign organisational structures to enable cross-functional product teams (rather than siloed functional hierarchies). Our research found that incumbent banks that established dedicated digital talent hubs — with distinct compensation structures, working practices, and career pathways — were 2.8 times more likely to achieve their technology transformation objectives than those that attempted to hire digital talent into existing organisational structures.
One of the most consequential strategic decisions for incumbent banks is how to access fintech capabilities: through partnerships, internal development, or acquisitions. Each approach has distinct advantages, risks, and appropriate use cases.
| Dimension | Partnership | Build In-House | Acquire |
|---|---|---|---|
| Time to Market | 3-6 months | 12-36 months | 6-18 months |
| Capital Requirement | Low | Medium-High | High |
| IP Ownership | Shared / Licensed | Full | Full |
| Integration Complexity | Medium | Low (native) | High |
| Talent Impact | Minimal | Significant hire needed | Talent retention risk |
| Strategic Control | Limited | Full | Full (if integrated well) |
| Best For | Non-core capabilities, rapid experimentation | Core differentiating capabilities | Mature capabilities with proven customer base |
Our recommendation is a portfolio approach: partner for speed and experimentation in non-core areas, build in-house for capabilities that represent core competitive differentiation, and acquire selectively when a proven capability with an established customer base is available and the institution has the integration capacity to preserve the acquisition's value. The critical error we observe most frequently is the default to build — incumbents attempting to replicate fintech capabilities internally, underestimating the time and cost required, and delivering an inferior product 18-24 months later than a partnership would have enabled.
The competitive landscape of retail banking will continue to evolve rapidly over the next four years. Several structural trends will shape the competitive dynamics.
The fintech challenger landscape will consolidate significantly. The current ecosystem of hundreds of neobanks, payment platforms, and lending specialists is unsustainable: many lack a path to profitability, venture capital funding has tightened, and customer acquisition costs are rising as the market matures. We project that 40-50% of current neobanks will either be acquired, merge, or exit the market by 2028. The survivors will be larger, more profitable, and more competitive — posing a greater threat to incumbents than today's fragmented landscape.
Generative AI has the potential to partially reset the technology advantage that fintechs have built over the past decade. Large language models and AI agents can enable traditional banks to dramatically improve customer service (AI-powered advisors capable of handling complex queries), accelerate software development (AI coding assistants reducing the time to modernise legacy systems), and enhance risk management (AI systems capable of processing unstructured data at scale). The institutions — whether incumbent or challenger — that deploy generative AI most effectively will gain significant competitive advantages in customer experience, operational efficiency, and product innovation.
Embedded finance will grow from $92 billion to an estimated $320-380 billion in revenue by 2029, fundamentally reshaping where and how consumers access financial services. The most significant impact will be on product distribution: as financial products become embedded in non-financial platforms (retail, mobility, healthcare, employment), the traditional bank-customer relationship — built on direct channel interaction — will be supplemented by a vast network of indirect relationships where the bank provides infrastructure but another brand owns the customer experience.
The regulatory gap between banks and fintechs will narrow substantially by 2028. Regulators globally are extending banking-equivalent requirements to fintech activities — particularly in lending, deposit-like products, and systemic payment services. This convergence will increase compliance costs for fintechs (reducing their cost advantage) but will also create a more predictable competitive environment in which both incumbents and challengers operate under comparable rules.
Our projection is that the retail banking market in 2028 will be served by three types of winning institutions:
Institutions that fail to fall into one of these three categories — banks that do not transform and fintechs that do not scale — will face margin compression, customer attrition, and, ultimately, consolidation or exit.