Embedded Finance Platform Concentration Concerns

1. Introduction

Embedded finance refers to the integration of financial products directly into non-financial digital platforms.

Instead of visiting a bank, insurer, lender, payment provider, or investment platform separately, a customer may obtain the financial service through another company's ecosystem.

Examples include:

payments embedded in marketplaces;

buy-now-pay-later facilities within e-commerce;

embedded lending for merchants;

insurance embedded into travel or retail platforms;

digital wallets within super-apps;

payroll-linked financial products;

investment products embedded into consumer applications;

banking-as-a-service infrastructure;

payment and credit products embedded into enterprise software.

The competitive concern arises when a platform becomes sufficiently powerful to control both the customer interface and the financial infrastructure underneath it.

The central question is:

Does control over a large digital customer base, financial data, payment infrastructure, and distribution channels allow an embedded-finance platform to create or reinforce durable market power?

2. Meaning of Platform Concentration

Platform concentration occurs when a small number of companies control a significant portion of one or more layers of the embedded-finance ecosystem.

A simplified structure is:

Consumer / Merchant

↓

Digital Platform

↓

Embedded-Finance Interface

↓

Payment / Lending / Insurance / Banking Provider

↓

Financial Infrastructure

The platform may control the customer relationship while third-party financial institutions provide the regulated financial product.

This creates an important competitive distinction between:

financial-product power, and

distribution/platform power.

A company may not be a bank but can nevertheless possess substantial market power over how customers access banking or financial products.

3. Major Sources of Concentration

A. Customer-interface control

The platform controls the screen through which customers select financial products.

This gives it the ability to influence:

rankings;

defaults;

recommendations;

product visibility;

pricing presentation;

consumer choice.

B. Data concentration

Platforms can combine:

transaction data;

purchasing history;

payment information;

merchant data;

behavioural data;

credit information.

This can improve risk assessment and personalization.

C. Network effects

More consumers attract more merchants.

More merchants generate more transactions.

More transactions generate more data.

More data can improve financial products.

This can create a reinforcing cycle.

4. The Embedded-Finance Data Feedback Loop

A concentrated platform can potentially develop the following cycle:

More users

↓

More transactions

↓

More financial data

↓

Better underwriting / targeting

↓

More attractive financial products

↓

More users and merchants

↓

Greater platform power

This is a significant competition concern because the advantage may become progressively harder for new entrants to replicate.

5. Relevant Markets

Market definition in embedded finance can be complicated.

Possible markets include:

1. Digital payment services

2. Merchant payment acquiring

3. Consumer credit

4. Buy-now-pay-later services

5. Merchant lending

6. Embedded insurance

7. Digital wallets

8. Banking-as-a-service infrastructure

9. Financial distribution platforms

10. Data and financial-risk infrastructure

A platform could have limited market share in the underlying financial product while possessing substantial power over distribution.

6. Vertical Integration

Embedded finance frequently involves vertical integration.

For example:

E-commerce platform

↓

Payment service

↓

Consumer credit

↓

Merchant financing

↓

Financial data

If one company controls multiple levels, it may be able to leverage market power from one layer into another.

This creates potential concerns involving:

tying;

bundling;

self-preferencing;

foreclosure;

discriminatory access;

exclusive arrangements;

raising rivals' costs.

7. Case Law: United States v. Microsoft Corp.

United States v. Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001) is a leading precedent on platform-based leveraging.

Microsoft possessed substantial power in operating systems and engaged in conduct affecting competition in adjacent software markets.

Embedded-finance relevance

A powerful digital platform could similarly use control over its primary ecosystem to disadvantage competing financial providers.

For example, an e-commerce platform might:

give its own payment product preferential access;

restrict competing payment providers;

make its own lending product the default;

prevent competing financial applications from obtaining equivalent data.

The case demonstrates how platform control can be leveraged into adjacent markets.

8. Ohio v. American Express Co.

Ohio v. American Express Co., 585 U.S. 529 (2018) is especially important for embedded finance.

The Supreme Court examined American Express's contractual restrictions on merchants concerning steering customers toward alternative payment methods.

The Court treated the credit-card system as a two-sided transaction platform, requiring competitive effects on both sides of the platform to be considered.

Embedded-finance significance

This is highly relevant because embedded finance is frequently two-sided or multi-sided.

For example:

Consumer side

and

Merchant side

may be simultaneously affected by platform conduct.

Competition analysis must therefore consider:

consumer effects;

merchant effects;

network effects;

cross-side externalities.

The case demonstrates why conventional one-sided market analysis may be inadequate for embedded-finance platforms.

9. United States v. Visa Inc. and Mastercard Inc.

The Visa/Mastercard litigation concerning payment-network rules provides another important example of competition concerns surrounding payment infrastructure.

Payment networks can impose rules that influence the ability of alternative payment methods to compete.

Embedded-finance relevance

A platform controlling payment functionality may similarly restrict:

alternative payment providers;

wallet interoperability;

routing options;

payment-method visibility.

Where a platform controls the consumer interface, even subtle restrictions can materially affect competing financial services.

10. Ohio v. American Express and Platform Steering

The American Express case is also important for understanding steering restrictions.

A platform can affect competition not merely by refusing access, but by controlling how consumers are presented with alternatives.

In embedded finance, a platform could theoretically:

rank its own loan first;

hide alternative lenders;

make competing insurance products difficult to locate;

use default payment options;

make its own wallet easier to activate.

This can reduce effective competition even where rival products technically remain available.

11. United States v. Terminal Railroad Association

In United States v. Terminal Railroad Association of St. Louis, 224 U.S. 383 (1912), control over critical infrastructure gave the defendants substantial power over access to the market.

Embedded-finance relevance

The modern equivalent could arise where a platform controls a critical digital gateway through which financial providers must reach customers.

For example:

Platform interface → consumer → financial product

If competing lenders or payment providers cannot effectively reach consumers without platform access, the interface may function as a bottleneck.

12. Otter Tail Power Co. v. United States

In Otter Tail Power Co. v. United States, 410 U.S. 366 (1973), control over electricity transmission infrastructure affected downstream competition.

Embedded-finance relevance

The principle can be applied by analogy where an embedded-finance platform controls an infrastructure layer necessary for downstream financial providers.

Potential issues include:

denial of access;

discriminatory access;

exclusionary contracting;

leveraging infrastructure power.

13. Aspen Skiing Co. v. Aspen Highlands

In Aspen Skiing Co. v. Aspen Highlands Skiing Corp., 472 U.S. 585 (1985), the Supreme Court considered the termination of a previously profitable cooperative arrangement.

Embedded-finance relevance

Suppose a platform historically allows competing lenders to distribute products through its marketplace.

It then withdraws access after developing its own competing lending service.

The Aspen Skiing principle could potentially become relevant if the circumstances demonstrate exclusionary intent and competitive harm.

However, the doctrine is exceptional and must be read together with Trinko.

14. Verizon Communications v. Trinko

Verizon Communications Inc. v. Law Offices of Curtis V. Trinko, 540 U.S. 398 (2004) limits expansive theories requiring dominant firms to assist competitors.

Embedded-finance significance

A platform is not automatically required to provide competitors with:

customer data;

proprietary APIs;

proprietary algorithms;

internal infrastructure;

distribution channels.

Competition law must identify a genuine exclusionary practice rather than treating every refusal to cooperate as unlawful.

This is particularly important because embedded-finance platforms may have legitimate reasons for controlling access to sensitive financial data.

15. Google Shopping

The Google Shopping proceedings provide an important modern example of ecosystem self-preferencing.

Google controlled an important search interface while also operating a competing comparison-shopping service.

Embedded-finance analogy

An embedded-finance platform could similarly:

operate a dominant consumer platform;

host competing financial providers;

introduce its own financial product;

control rankings and defaults;

favour its own product.

For example:

Marketplace → payment → platform-owned wallet

could become a self-preferencing problem if competing wallets are systematically disadvantaged.

16. Google Android

The Google Android competition case demonstrates how contractual and technical arrangements can reinforce an ecosystem.

Embedded-finance relevance

A super-app or marketplace could potentially use:

default settings;

bundling;

technical restrictions;

contractual conditions;

preferential integration

to strengthen its own financial products.

For example, requiring merchants to use the platform's payment service as a condition for receiving other important platform services could create competition concerns.

17. Mastercard / Payment Services Cases

European payment-system competition cases demonstrate that payment infrastructure can possess significant network characteristics.

Payment systems benefit from:

large merchant acceptance;

broad consumer participation;

interoperability;

transaction scale.

This makes payment markets particularly susceptible to concentration.

Embedded-finance platforms can potentially combine these network effects with their own digital-platform effects.

18. Data Advantage and Financial Concentration

One of the most important features of embedded finance is data accumulation.

A platform may know:

what a consumer purchases;

how frequently purchases occur;

merchant relationships;

payment behaviour;

transaction volumes;

refunds;

customer interactions.

That information can improve:

credit scoring;

fraud detection;

financial recommendations;

pricing;

insurance underwriting.

A rival financial provider may lack comparable data.

Thus, data can become an entry barrier.

19. Data Leveraging

A platform might potentially use non-financial data to compete in financial services.

For example:

E-commerce data

↓

Merchant risk assessment

↓

Platform lending

This may create a competitive advantage that independent lenders cannot easily replicate.

The competition question is not whether using data is inherently unlawful.

Rather:

Does exclusive or discriminatory control over competitively significant data materially foreclose equally efficient competitors?

20. Self-Preferencing in Embedded Finance

Self-preferencing can take multiple forms.

Ranking

The platform's loan appears first.

Default selection

The platform's payment method is preselected.

Search visibility

Third-party financial providers appear less prominently.

Technical integration

The platform's own financial service receives superior APIs.

Data access

The platform's own financial business receives data unavailable to competitors.

Pricing

The platform subsidizes its own financial service using revenues from another market.

These practices can reinforce ecosystem concentration.

21. Tying and Bundling

Embedded finance naturally facilitates bundling.

Examples:

marketplace + payments;

accounting software + merchant lending;

e-commerce + insurance;

ride-hailing + driver finance;

payroll software + employee banking.

Bundling may benefit consumers through:

convenience;

lower transaction costs;

integrated services;

fraud reduction.

But it can also foreclose competing financial providers.

The competition analysis should therefore distinguish efficiency-enhancing integration from exclusionary bundling.

22. Exclusive Dealing

A platform could require merchants to use its financial services exclusively.

For example:

A merchant receives preferential marketplace terms only if it uses the platform's payment service.

Potential effects include:

foreclosure of rival payment providers;

reduced merchant choice;

network effects;

increased switching costs.

The assessment should examine the duration, coverage and actual foreclosure effect.

23. Network Effects

Embedded finance can produce powerful network effects.

For example:

More merchants

→ more customers

→ more transactions

→ more payment data

→ more financial products

→ more merchants.

This creates a self-reinforcing ecosystem.

Once the platform becomes sufficiently large, entrants may face a chicken-and-egg problem:

customers want a financial product with broad merchant acceptance;

merchants want a financial product with many customers.

This can protect incumbents.

24. Multi-Homing

Multi-homing can reduce concentration.

If merchants can easily use:

Payment Provider A;

Payment Provider B;

Payment Provider C;

simultaneously, no individual platform may have excessive market power.

But if technical integration or contractual restrictions prevent multi-homing, concentration may increase.

Thus, competition authorities should examine:

API compatibility;

switching costs;

contractual restrictions;

integration costs;

customer migration.

25. Interoperability

Interoperability is particularly important in embedded finance.

Competitive interoperability could permit:

Platform A → Payment Provider B

Platform A → Payment Provider C

Platform B → Payment Provider A

This prevents a platform from becoming a closed financial ecosystem.

Lack of interoperability can increase:

switching costs;

customer dependence;

network effects;

data concentration.

26. Merchant Lock-In

Merchants can become locked into an embedded-finance platform through:

payment processing;

loans;

accounting;

inventory management;

payroll;

analytics.

Once financial services are integrated into operational software, switching becomes difficult.

This can create a powerful ecosystem lock-in effect.

A merchant may stay with a platform not because its financial product is superior, but because changing providers would require changing the merchant's entire technology stack.

27. Consumer Lock-In

Consumers may similarly become dependent on:

digital wallets;

loyalty systems;

stored payment credentials;

rewards;

BNPL accounts;

platform credit;

subscription services.

The platform can then become the primary gateway to financial services.

28. Concentration in Banking-as-a-Service

Embedded finance frequently depends upon banking-as-a-service infrastructure.

A small number of infrastructure providers may supply:

account creation;

payment processing;

compliance;

card issuing;

ledger systems;

identity verification.

If these providers become concentrated, downstream fintech firms may become dependent upon a limited number of infrastructure suppliers.

This raises potential:

bottleneck;

foreclosure;

pricing;

resilience;

interoperability

concerns.

29. AI and Embedded Finance Concentration

AI may intensify these concerns.

Platforms can use transaction data to build models for:

credit risk;

fraud detection;

personalized financial offers;

dynamic pricing;

customer segmentation.

The resulting AI advantage can reinforce existing market power.

The feedback loop becomes:

Platform data

↓

AI improvement

↓

Better financial targeting

↓

More customers

↓

More data

This can create significant barriers to entry.

30. Indian Competition-Law Perspective

Under the Competition Act, 2002, embedded-finance concentration can potentially be analysed through several provisions.

Section 3

Potentially relevant to:

exclusive arrangements;

restrictive vertical agreements;

foreclosure arrangements;

tying and bundling.

Section 4

Potential abuse-of-dominance theories may involve:

discriminatory conditions;

denial of market access;

leveraging;

tying;

exclusionary conduct.

Sections 5 and 6

Acquisitions involving:

payment platforms;

fintech companies;

banking-as-a-service providers;

digital marketplaces;

financial-data providers

may raise combination concerns where the transaction materially affects competition.

31. Hypothetical Indian Example

Assume a major e-commerce platform operates:

marketplace services;

payment services;

merchant loans;

insurance distribution;

merchant analytics.

It then requires merchants receiving premium marketplace visibility to use its payment service.

It also gives its lending division access to transaction data that independent lenders cannot access.

Potential competition concerns could involve:

tying;

self-preferencing;

discriminatory access;

data leveraging;

denial of market access;

raising rivals' costs;

ecosystem foreclosure.

The fact that the platform provides consumers with convenient financial services would not automatically resolve the competition issue.

The authority would need to assess actual or likely effects on competition.

32. Regulatory Tension

Embedded finance produces a significant tension between innovation and competition.

Potential benefits

lower transaction costs;

greater financial inclusion;

faster payments;

better credit access;

improved customer experience;

reduced fraud;

easier SME financing.

Potential harms

concentration;

exclusion;

data monopolization;

reduced consumer choice;

higher switching costs;

discriminatory access;

financial-system dependency.

Competition policy must therefore avoid treating integration itself as unlawful.

33. Remedies

Potential remedies include:

1. Interoperability

Require reasonable technical interoperability.

2. Data portability

Enable customers and merchants to transfer relevant data.

3. Non-discrimination

Require equal treatment of competing financial providers.

4. Open APIs

Permit competing providers to integrate with platforms under fair conditions.

5. Limits on exclusivity

Restrict contracts that unnecessarily prevent multi-homing.

6. Separation of data

Prevent preferential use of competitively sensitive information.

7. Transparency

Require clear disclosure of ranking and recommendation mechanisms.

8. Structural remedies

In exceptional cases, separation between platform and financial businesses could be considered.

34. Key Case-Law Principles

35. Conclusion

Embedded finance platform concentration represents a convergence of digital-platform power and financial-market power.

The principal competitive risks arise when a platform combines:

customer-interface control;

transaction data;

payment infrastructure;

financial-product distribution;

network effects;

AI capabilities;

contractual restrictions;

interoperability control.

The most significant danger is the emergence of a closed financial ecosystem:

Platform dominance → data accumulation → financial integration → customer lock-in → stronger network effects → greater platform dominance.

The leading cases provide different components of the legal analysis. American Express demonstrates the importance of two-sided platforms; Microsoft illustrates technological leveraging; Terminal Railroad and Otter Tail address infrastructure bottlenecks; Aspen Skiing and Trinko establish the boundaries of refusal-to-deal theories; and Google Shopping and Google Android demonstrate how ecosystem control can affect adjacent markets.

Ultimately, embedded finance should not be regarded as anticompetitive merely because a platform offers financial services. The critical question is whether the platform uses control over distribution, data, infrastructure, defaults, interoperability or contractual relationships to exclude rival financial providers and preserve ecosystem power.