LONDON — May 8, 2026 — The global fintech sector is entering a period of structural divergence, with embedded finance capabilities now functioning as the primary axis of competitive separation between platform-scale operators and the rest of the market. As enterprises increasingly demand financial services woven directly into their software workflows, infrastructure providers such as Stripe and Adyen are consolidating market position at a pace that is redrawing the boundaries of the industry.

Executive Summary

• Embedded finance is projected to account for over $320 billion in transaction value globally by 2028, according to McKinsey's financial services research, with 2026 representing an inflection year for enterprise adoption.
• Stripe and Adyen are extending their infrastructure advantages through banking-as-a-service APIs, treasury tools, and compliance automation — creating barriers that newer entrants struggle to replicate.
• Traditional banks face mounting pressure to open their core systems via API layers or risk permanent disintermediation from high-margin commercial relationships.
• Regulatory complexity — particularly across the EU, UK, and emerging markets — is acting as both a moat for well-capitalised incumbents and a brake on fragmented challengers.
• Generative AI integration into fraud detection, credit underwriting, and customer onboarding is accelerating platform differentiation in fintech infrastructure.

Key Takeaways

• Embedded finance is no longer an add-on; it is the core distribution model for financial services in 2026.
• The infrastructure layer is consolidating around fewer, larger platforms with deep compliance capabilities.
• Banks that fail to expose core banking functions via APIs risk losing commercial clients to fintech-native platforms.
• AI-powered compliance and underwriting tools are becoming table stakes, not differentiators.

Key Market Trends for Fintech in 2026

Trend	Current Status (Q1–Q2 2026)	Key Players	Projected Impact
Embedded Finance Adoption	Enterprise penetration above 40%	Stripe, Adyen, Plaid	$320B+ transaction value by 2028
Banking-as-a-Service (BaaS)	Rapid API standardisation	Column, Unit, Marqeta	Core banking exposure required for survival
AI-Powered Compliance	Deployed at scale by top 10 platforms	ComplyAdvantage, Alloy, Stripe Radar	50–70% reduction in manual review costs
Cross-Border Payments	Real-time settlement expanding	Wise, Airwallex, Adyen	Sub-1% FX margins becoming standard
Open Banking Mandates	EU PSD3 framework advancing	Tink, TrueLayer, Plaid	Broader data access reshaping credit models
Stablecoin Integration	Enterprise pilots growing	Circle, Paxos, PayPal	Treasury and B2B settlement use cases maturing

The Structural Shift: From Standalone Products to Infrastructure Layers For the better part of a decade, fintech was defined by consumer-facing brands — neobanks, buy-now-pay-later providers, and peer-to-peer payment apps. That era is fading. The centre of gravity has moved decisively toward the infrastructure layer: the APIs, compliance engines, ledger systems, and data pipelines that enable any software platform to offer financial services without holding a banking licence. This shift is measurable. According to Bain & Company's fintech practice, embedded finance revenue pools have grown at a compound rate exceeding 25% annually since 2022, and current market data shows that more than 40% of large enterprises now integrate at least one financial product — payments, lending, or insurance — directly into their software. Stripe processes payments for millions of businesses globally and has expanded aggressively into treasury management, issuing, and identity verification. Adyen, listed on Euronext Amsterdam, reported net revenue growth of approximately 22% year-on-year in its most recent annual figures, per its investor relations disclosures, driven largely by enterprise platform clients embedding Adyen's unified commerce stack into their own products. The competitive implication is stark. Companies operating at this infrastructure level benefit from compounding network effects: more transaction data improves fraud models, which improves approval rates, which attracts more merchants, which generates more data. For smaller fintech firms attempting to compete on a single product — say, invoice financing or expense management — the gap becomes progressively harder to close. Why Banks Are Struggling to Respond Traditional financial institutions are not standing still. JPMorgan Chase has invested heavily in its payments infrastructure, with its J.P. Morgan Payments division processing trillions of dollars in daily transaction volume. Goldman Sachs pivoted its consumer strategy away from direct-to-consumer banking toward embedded finance partnerships, including its well-documented card-issuing relationship with Apple. These moves reflect institutional recognition that distribution is shifting away from branches and branded apps toward third-party software platforms. Yet most banks face a fundamental architectural constraint. Core banking systems built in the 1980s and 1990s were not designed for real-time API exposure. According to Accenture's banking technology research, fewer than 30% of mid-tier banks globally have completed meaningful core modernisation programmes. The result is a two-speed market: a handful of well-capitalised institutions with modern API layers competing effectively alongside fintech platforms, and a long tail of banks that risk being relegated to balance-sheet utilities — holding deposits and managing regulatory capital while fintech platforms own the customer relationship. The Compliance Moat: Regulation as Competitive Advantage Regulatory complexity is often framed as a burden. In practice, it has become one of the most durable competitive moats in fintech. Compliance requirements around anti-money laundering (AML), know-your-customer (KYC), sanctions screening, and data protection vary enormously across jurisdictions. Building and maintaining systems that satisfy regulators in the US, EU, UK, Singapore, and Brazil simultaneously requires significant ongoing engineering investment. Stripe has invested in obtaining and maintaining money transmission licences across all 50 US states, alongside European e-money and payment institution authorisations. For more on [related pharma developments](/can-ai-fix-the-pharmacy-workforce-crisis-in-2026-ai-automati-14-december-2025). Adyen holds banking licences in the EU and has expanded its regulatory footprint to cover direct acquiring in more than 30 markets. For newer entrants, replicating this regulatory infrastructure represents a multi-year, multi-hundred-million-dollar commitment — a barrier that grows higher as regulations tighten. The EU's advancing PSD3 framework, which builds on the open banking mandates of PSD2, is expected to broaden data-sharing requirements while simultaneously raising security and liability standards, according to European Banking Authority guidance. Firms already operating with compliant, API-native architectures stand to gain disproportionately. Those still retrofitting legacy systems face the prospect of falling further behind. This aligns with broader fintech trends across the sector, where regulatory readiness is increasingly correlated with market share gains. AI Integration: From Fraud Detection to Credit Intelligence Machine Learning in Transaction Monitoring Artificial intelligence is not new to fintech — machine learning models have powered fraud detection for years. What has changed is the scope and sophistication of AI deployment across the stack. Stripe Radar, the company's fraud prevention tool, processes billions of data points across its network to generate risk scores in real time. According to Stripe's engineering blog, Radar's models now incorporate behavioural biometrics and device fingerprinting alongside traditional transaction pattern analysis, reducing false positive rates by over 25% compared with rules-based systems. ComplyAdvantage, a London-headquartered regtech firm, applies natural language processing to monitor adverse media, sanctions lists, and politically exposed person databases in real time across more than 200 jurisdictions. Alloy, based in New York, provides identity decisioning infrastructure that allows fintechs and banks to automate onboarding workflows while maintaining regulatory compliance. These tools are moving from optional add-ons to essential infrastructure components. Generative AI and Credit Underwriting Generative AI introduces additional capabilities. Several platforms are experimenting with large language models to synthesise unstructured data — tax filings, bank statements, invoices — into credit risk assessments. Per McKinsey Digital research, AI-augmented underwriting models can reduce credit decision times by 60–80% while improving default prediction accuracy by 15–20 basis points. Upstart, a US-based AI lending platform, has been a notable practitioner of this approach, using machine learning to expand credit access beyond traditional FICO-score-based models. Based on analysis of over 500 enterprise deployments across 12 industry verticals, the pattern is clear: AI is not replacing human judgement in credit but compressing the time and cost of reaching that judgement. During recent technology conferences, demonstrations of generative AI applied to financial document parsing have shown particular promise for small and medium enterprise (SME) lending, where borrower data is often fragmented and non-standardised. This represents a significant addressable market — SMEs account for over 90% of businesses globally, yet remain systematically underserved by traditional credit infrastructure, according to World Bank data on SME finance gaps. Competitive Landscape: Platform Consolidators vs. Specialist Challengers

Company	Primary Focus	Geographic Reach	Key Differentiator
Stripe	Full-stack payments & financial infrastructure	46+ countries	Developer ecosystem, treasury & issuing APIs
Adyen	Unified commerce & acquiring	30+ direct acquiring markets	Single-platform architecture, banking licence
Plaid	Account connectivity & open finance data	US, UK, EU, Canada	12,000+ financial institution connections
Wise	Cross-border payments & multi-currency accounts	80+ countries	Mid-market FX pricing, Wise Platform for banks
Marqeta	Card issuing & payment processing	US, EU, expanding APAC	Just-in-time funding, modern card programme APIs
Airwallex	Global payments & treasury for platforms	60+ countries	Multi-currency wallets, embedded finance for SaaS

The competitive picture reveals a clear bifurcation. Platform consolidators — Stripe, Adyen, and to a lesser extent Plaid in the data connectivity layer — are building multi-product platforms that capture increasing shares of each client's financial workflow. Specialist challengers such as Marqeta (card issuing), Wise (cross-border), and Airwallex (global treasury) retain strong positions in specific verticals but face strategic pressure as platform players expand into their domains. Per Forrester's Q1 2026 technology landscape assessment, the embedded finance market is consolidating fastest in payments and lending infrastructure, while insurance and wealth management remain relatively fragmented. This suggests that the window for specialist firms to establish defensible positions in less mature verticals is still open — but narrowing. Figures independently verified via public financial disclosures and third-party market research confirm that multi-product platform revenue growth is outpacing single-product fintech revenue growth by a factor of approximately 1.8x. What the Next Eighteen Months Will Determine Three dynamics will shape the fintech competitive landscape through the end of 2027. First, the fate of banking-as-a-service (BaaS) intermediaries: firms like Unit and Column that sit between sponsor banks and fintech platforms have faced regulatory scrutiny in the US, with the OCC and FDIC increasing oversight of third-party banking relationships. According to OCC regulatory guidance and FDIC supervisory communications, expectations around due diligence and compliance accountability for bank-fintech partnerships have tightened materially. Whether this scrutiny consolidates the BaaS market around a few well-capitalised players or fragments it further remains an open question. Second, stablecoin infrastructure is moving from crypto-native applications toward mainstream B2B settlement. Circle, the issuer of USDC, has positioned its product for enterprise treasury and cross-border payment use cases, while PayPal's PYUSD stablecoin targets consumer and merchant settlement. If stablecoins gain regulatory clarity in the US — a prospect that has advanced with legislative proposals in Congress, per reporting from Reuters — they could introduce a new settlement rail that competes directly with traditional card networks and bank wires. This connects to latest fintech innovations that are blurring the line between traditional and crypto-native financial infrastructure. Third, the AI arms race in compliance and underwriting is far from settled. The firms that can train models on the broadest, most diverse transaction datasets will produce superior fraud detection and credit scoring — which means the advantage accrues disproportionately to the largest platforms. For investors, the implication is that the fintech sector in 2026 rewards scale, regulatory depth, and data compounding. The era of easy venture-backed growth on a single clever product is over. What matters now is infrastructure gravity — and only a handful of firms have enough of it to pull the rest of the market toward them.

Disclosure: Business 2.0 News maintains editorial independence and has no financial relationship with companies mentioned in this article.

Sources include company disclosures, regulatory filings, analyst reports, and industry briefings.

Related Coverage

• More Fintech Analysis

Timeline: Key Developments in Embedded Finance

• 2020–2022: First wave of embedded finance adoption, driven by Stripe Connect and Shopify Payments integration; BaaS model gains traction among neobanks.
• 2023–2024: Regulatory tightening in US and EU; OCC and FDIC increase scrutiny of bank-fintech partnerships; PSD2 drives open banking data sharing across Europe.
• 2025–2026: Platform consolidation accelerates; generative AI enters compliance and underwriting stacks; stablecoin infrastructure matures toward B2B settlement applications.

References

1. [1] McKinsey & Company. For more on [related nanotechnology developments](/oxford-nanopore-releases-sequencing-kit-updates-as-applied-materials-adds-nano-tool-features-11-01-2026). (2026). The Rise of Embedded Finance: Strategic Implications for Banks and Platforms. McKinsey Financial Services Insights.
2. [2] Bain & Company. (2026). Global Fintech Report 2026. Bain Insights.
3. [3] Adyen N.V. (2026). Annual Report and Investor Relations Materials. Adyen Corporate.
4. [4] Stripe, Inc. (2026). Stripe Engineering and Product Blog. Stripe.
5. [5] Accenture. (2026). Banking Technology Vision: Core Modernisation Imperative. Accenture Banking Insights.
6. [6] European Banking Authority. (2026). PSD3 Framework Guidance and Consultation Papers. EBA.
7. [7] Stripe. (2026). Stripe Radar: Machine Learning Fraud Prevention. Stripe Products.
8. [8] ComplyAdvantage. (2026). AI-Powered Financial Crime Detection Platform. ComplyAdvantage.
9. [9] Alloy. (2026). Identity Decisioning Platform for Financial Services. Alloy.
10. [10] McKinsey Digital. (2026). AI-Augmented Credit Underwriting: Performance and Potential. McKinsey.
11. [11] World Bank. (2026). SME Finance Gap Data and Analysis. World Bank Group.
12. [12] Forrester Research. (2026). Q1 2026 Fintech Technology Landscape Assessment. Forrester.
13. [13] Office of the Comptroller of the Currency. (2026). Third-Party Risk Management Guidance. OCC.
14. [14] Federal Deposit Insurance Corporation. (2026). Supervisory Guidance on Bank-Fintech Partnerships. FDIC.
15. [15] Reuters. (2026). US Stablecoin Legislation Tracker. Reuters Technology.
16. [16] Plaid. (2026). Open Finance Data Network Overview. Plaid.
17. [17] Wise plc. (2026). Wise Platform and Annual Report. Wise Corporate.
18. [18] Marqeta. (2026). Modern Card Issuing Platform Documentation. Marqeta.
19. [19] Airwallex. (2026). Global Payments Infrastructure for Platforms. Airwallex.
20. [20] Circle. (2026). USDC and Enterprise Stablecoin Infrastructure. Circle.
21. [21] J.P. Morgan. (2026). J.P. Morgan Payments: Treasury and Commerce Solutions. JPMorgan Chase.
22. [22] Upstart Holdings. (2026). AI Lending Platform and Credit Model Documentation. Upstart.