Global Insurance Platform Competition And Insurtech Regulation

Introduction

The insurance industry is undergoing a structural transformation from traditional insurer–broker–agent models toward digital insurance platforms, insurtech marketplaces, embedded insurance, algorithmic underwriting, digital claims management, comparison websites, telematics, open-insurance APIs, cloud infrastructure and AI-based risk assessment.

This transformation creates a competition-law problem that is different from traditional insurance regulation. A digital insurance platform can simultaneously act as:

• an insurer;
• broker or intermediary;
• comparison website;
• claims-management provider;
• data intermediary;
• underwriting technology provider;
• cloud/API infrastructure provider; and
• marketplace connecting insurers with customers.

Consequently, the same firm may control access to customers, control essential data, determine ranking or visibility, and compete with the insurers using its platform.

Competition authorities therefore increasingly have to examine insurance through both sectoral regulation and antitrust principles. The European Commission expressly recognizes that cooperation between insurers can generate efficiency, but that cooperation becomes problematic where it distorts competition beyond what is necessary.

1. Meaning of Global Insurance Platform Competition

Insurance-platform competition concerns rivalry between digital ecosystems that facilitate the production, distribution, pricing, underwriting or servicing of insurance.

Examples include:

1. Digital insurance marketplaces
2. Price-comparison platforms
3. Embedded-insurance platforms
4. Insurtech brokers
5. Telematics platforms
6. AI underwriting platforms
7. Digital claims platforms
8. Insurance API ecosystems
9. Health-insurance technology platforms
10. Cloud-based insurance infrastructure

The competitive structure can therefore be represented as:

Customer → Platform → Insurer → Reinsurer

But in a more integrated model:

Customer → Digital Platform → Data → AI Underwriting → Insurance Product → Claims Platform

The platform can potentially control every stage of the chain.

2. Why Insurtech Creates New Competition Problems

Traditional insurance markets were generally characterized by relatively clear separation between:

• insurer;
• broker;
• agent;
• reinsurer; and
• customer.

Insurtech can eliminate these boundaries.

A single digital platform can collect customer data, compare policies, determine which policies are displayed, recommend a policy through an algorithm and receive commissions from insurers.

This produces several competition concerns.

A. Platform self-preferencing

A platform operating its own insurance product may rank that product above competing insurers.

B. Data advantages

Large platforms can accumulate:

• driving data;
• health data;
• purchasing data;
• claims histories;
• behavioural information;
• location information; and
• financial information.

This may create substantial entry barriers.

C. Algorithmic pricing

Insurance pricing algorithms can potentially facilitate:

• discriminatory pricing;
• personalized exclusion;
• coordinated pricing;
• excessive prices;
• tacit coordination; and
• exclusionary conduct.

D. Network effects

More customers attract more insurers, while more insurers attract more customers.

This creates a feedback loop:

More customers → More insurers → Better product variety → More customers

Once a platform reaches critical scale, competitors may struggle to enter.

3. Relevant Markets

Competition authorities may need to define several overlapping markets.

Product markets

Possible markets include:

• motor insurance;
• health insurance;
• home insurance;
• commercial insurance;
• travel insurance;
• cyber insurance;
• insurance brokerage;
• insurance comparison;
• claims management;
• insurance data;
• insurance software; and
• embedded-insurance distribution.

Geographic markets

Markets can be:

• national;
• regional;
• EU-wide;
• global; or
• platform-specific.

For example, the European Commission's investigation into Aon/Willis Towers Watson identified global markets in commercial risk brokerage, including property and casualty, cyber, aerospace and space risks.

4. Data as a Competitive Asset

Data is particularly important in insurtech.

An established platform may possess:

Customer data + claims data + behavioural data + risk data + transaction data

This creates a significant informational advantage.

A new insurer may technically be permitted to enter the market but nevertheless be unable to compete effectively because it cannot obtain comparable data.

Therefore, modern insurance competition analysis increasingly asks:

Is access to insurance data itself a competitive bottleneck?

This is particularly relevant for:

• telematics;
• health insurance;
• autonomous vehicles;
• cyber insurance;
• commercial risk;
• fraud detection; and
• AI underwriting.

5. Data-Pooling and Information Exchanges

Insurance historically provides a special justification for information sharing because insurers need information to assess uncertain risks.

However, information sharing can also reduce competition.

The European Commission has recognized that insurance cooperation may produce efficiency benefits but must not go beyond what is necessary.

The key distinction is therefore:

Legitimate risk-sharing

versus

Strategic information-sharing that excludes rivals or facilitates coordination.

The Insurance Ireland/Insurance Link investigation is particularly significant because access to an insurance data pool could affect the competitive position of insurers entering the Irish motor-insurance market.

6. Six Major Case Laws / Competition Decisions

Case 1 — ComparetheMarket / BGL

CMA v BGL Group / ComparetheMarket

This is one of the most important cases for understanding digital insurance-platform competition.

The UK's Competition and Markets Authority found that ComparetheMarket used wide most-favoured-nation clauses in contracts with home insurers.

These clauses prevented participating insurers from offering cheaper prices through competing comparison websites.

The CMA imposed a penalty of approximately £17.9 million.

Competition principle

A dominant or strategically important comparison platform cannot use contractual arrangements to prevent suppliers from offering better prices through rival platforms.

Insurtech significance

The case demonstrates that:

A platform does not have to manufacture the insurance product itself to exercise market power over insurers.

Control over distribution can itself generate substantial competitive power.

7. Insurance Ireland / Insurance Link

European Commission — Insurance Link

Insurance Link was a database containing information relevant to motor insurance.

The Commission examined whether the conditions for accessing the database could disadvantage insurers that did not already have access.

The issue was particularly important because access to the database could affect insurers' ability to compete effectively in motor insurance.

The Commission subsequently monitored commitments concerning fair and non-discriminatory access to the system.

Competition principle

A collective insurance-information infrastructure can become competitively significant where competitors depend upon it to operate effectively.

Insurtech significance

This provides a useful model for future disputes concerning:

• telematics databases;
• AI-training datasets;
• claims databases;
• fraud databases;
• EV-driving datasets; and
• shared underwriting platforms.

8. Aon / Willis Towers Watson

European Commission — Case M.9829

The proposed merger between Aon and Willis Towers Watson represented a major consolidation in global insurance brokerage.

The Commission found significant competition concerns in several commercial risk-brokerage markets.

In certain markets, the proposed transaction would have produced a combined share of approximately 70–80%, while Willis Towers Watson was regarded as an important competitive constraint on Aon.

Competition principle

Competition law must consider not merely the number of insurers but also the concentration of intermediary and brokerage infrastructure.

Insurtech significance

Modern insurance distribution increasingly depends on platforms and brokers.

Consequently, an acquisition of a major digital or data-driven broker can potentially create:

• customer-data concentration;
• distribution concentration;
• reduced insurer choice;
• reduced access to commercial customers; and
• increased platform dependency.

The US DOJ also challenged the Aon/Willis Towers Watson transaction as a horizontal merger in insurance-related markets.

9. Anthem / Cigna

United States v Anthem, Inc. and Cigna Corp.

The US government challenged the proposed Anthem–Cigna merger as a horizontal insurance merger.

The case illustrates the importance of evaluating consolidation in health-insurance markets, particularly where large insurers compete for customers and negotiate with healthcare providers.

The DOJ categorised the transaction as a horizontal merger involving direct health and medical insurance carriers.

Insurtech significance

The same analytical framework becomes increasingly relevant where traditional insurers acquire:

• digital health platforms;
• telemedicine businesses;
• health-data companies;
• AI underwriting firms; or
• digital claims-management platforms.

A seemingly vertical technology acquisition can therefore have horizontal effects if the acquired company is a potential future competitor.

10. United India Insurance Co. Ltd. v Competition Commission of India

Delhi High Court, 2025

This case is particularly important for the Indian dimension of insurance competition.

The CCI investigated allegations that four public-sector general insurers had engaged in cartelisation concerning tenders for health-insurance schemes in Kerala.

The CCI concluded that the conduct constituted bid rigging and imposed penalties.

The Delhi High Court proceedings concerned, among other things, the subsequent recovery and interest associated with the competition-law penalty.

Competition principle

Insurance companies, including state-owned insurers, are not automatically insulated from competition law merely because they operate within a heavily regulated sector.

Insurtech significance

The principle extends to digital procurement and platformised insurance markets.

For example, algorithms used by insurers to respond to public tenders could potentially create risks of:

• coordinated bidding;
• algorithmic bid rotation;
• information exchange;
• market allocation; and
• automated cartel behaviour.

11. Verband der Sachversicherer v European Commission

European insurance cooperation and EU competition law

European competition law has historically recognized that insurance companies may require cooperation to deal with unusually large or unpredictable risks.

At the same time, insurance agreements remain subject to competition principles.

The broader European approach demonstrates that sector regulation does not automatically immunize insurance-sector conduct from competition law.

This principle is especially important for modern insurance data pools.

12. In re Insurance Antitrust Litigation

United States insurance antitrust litigation

US insurance competition law has historically involved the complicated interaction between federal antitrust law and state insurance regulation.

The McCarran-Ferguson framework has traditionally provided an important degree of state-regulatory protection for the "business of insurance."

US jurisprudence consequently illustrates a fundamental regulatory problem:

Where does insurance regulation end and competition regulation begin?

The interaction has particular relevance to insurtech because technology firms may not fit neatly within traditional definitions of an "insurer."

13. Platform Most-Favoured-Nation Clauses

MFN clauses deserve special attention in insurance platforms.

Suppose:

Platform A tells insurers:

"You cannot sell this policy more cheaply through Platform B."

The insurer therefore has:

• Price on Platform A = ₹10,000
• Price on Platform B = ₹10,000

even if Platform B could otherwise offer the policy for ₹9,000.

The platform has effectively restricted price competition between platforms.

The ComparetheMarket case demonstrates this precise competitive mechanism in home insurance comparison services.

14. Self-Preferencing

Suppose an insurance marketplace owns its own insurance subsidiary.

It controls:

• search ranking;
• recommendation algorithms;
• customer interface;
• advertising;
• price comparison;
• policy visibility.

It may therefore rank its own insurance products first.

The competitive concern becomes:

Platform owner → Marketplace gatekeeper → Competitor insurer

This can make platform governance itself a competition-law issue.

15. Embedded Insurance

Embedded insurance places insurance directly inside another digital transaction.

Examples include:

• travel booking + travel insurance;
• automobile purchase + motor insurance;
• fintech account + insurance;
• e-commerce + product insurance;
• property platform + home insurance.

This produces cross-market leverage.

A company possessing a dominant customer relationship in one market can potentially transfer that power into insurance.

Competition authorities may therefore need to examine:

ecosystem power rather than insurance-market share alone.

16. AI Underwriting and Algorithmic Competition

AI introduces another major dimension.

Insurance companies increasingly use algorithms to estimate:

• probability of accidents;
• health risks;
• fraud;
• claims probability;
• customer lifetime value;
• expected losses.

If competing insurers use similar datasets or third-party algorithms, there may be risks of algorithmic convergence.

For example:

Insurer A → AI pricing system

Insurer B → Same pricing system

Insurer C → Same data provider

The result could be reduced independent pricing.

The legal question becomes whether the algorithm merely improves efficiency or becomes a mechanism for coordination or exclusion.

17. Algorithmic Discrimination and Competition

Insurtech regulation cannot be reduced to antitrust.

Insurance algorithms can also raise:

• privacy;
• consumer protection;
• equality;
• financial regulation;
• cybersecurity;
• explainability; and
• AI-governance concerns.

Thus, the regulatory framework becomes:

Competition law + Insurance law + Data protection + AI regulation + Consumer protection

rather than competition law alone.

18. Cloud Dependency

Insurers increasingly depend on:

• cloud computing;
• AI infrastructure;
• API providers;
• identity services;
• payment infrastructure;
• cybersecurity systems.

If a small number of technology providers dominate these inputs, insurance markets may become indirectly dependent upon them.

This creates a new concept:

Infrastructure-mediated insurance market power

A company does not need to dominate insurance itself if it controls an indispensable technological input.

19. Mergers and Insurtech Acquisitions

Competition authorities should examine acquisitions such as:

Large insurer + insurtech startup

Large platform + digital broker

Cloud company + insurance AI provider

Comparison website + insurance intermediary

Insurer + claims-data provider

Potential concerns include:

• elimination of future competitors;
• data concentration;
• vertical foreclosure;
• self-preferencing;
• interoperability restrictions;
• customer lock-in;
• increased switching costs; and
• control over AI models.

The EU's continuing insurance merger practice demonstrates that insurance intermediaries and brokerage activities are already subject to merger-control scrutiny.

20. Interoperability and Data Portability

Competition can be improved if consumers can move:

• policy information;
• claims histories;
• risk information;
• telematics records; and
• insurance profiles

between competing platforms.

Without portability:

Customer → Platform A → accumulated data → switching cost

With portability:

Customer → Platform A ⇄ Platform B

This can significantly reduce lock-in.

21. Switching Costs

Insurance platforms can create switching costs through:

• accumulated claims history;
• personalised pricing;
• loyalty benefits;
• stored payment information;
• bundled products;
• digital identity;
• telematics devices;
• proprietary APIs.

A customer may therefore remain with a platform even where another insurer offers a better policy.

Competition authorities should distinguish genuine loyalty benefits from mechanisms deliberately designed to make switching difficult.

22. Network Effects and Winner-Take-Most Markets

Digital insurance platforms can experience strong network effects.

A simplified model is:

More insurers → greater choice

Greater choice → more customers

More customers → more data

More data → better underwriting

Better underwriting → more insurers

This can produce a self-reinforcing competitive advantage.

Eventually, the market may shift from:

competition for the market

toward

competition to enter the dominant ecosystem.

23. Regulatory Challenges for Insurtech

A. Regulatory perimeter

Who regulates an insurance platform?

• Insurance regulator?
• Competition authority?
• Data-protection authority?
• Financial regulator?
• Consumer authority?
• AI regulator?

Often, the answer is all of them.

B. Cross-border enforcement

Digital insurance platforms operate across jurisdictions.

Conduct affecting customers in several countries may trigger:

• EU competition law;
• UK competition law;
• US antitrust law;
• national insurance regulation; and
• data-protection laws.

C. Regulatory arbitrage

A technology company may claim that it is merely a "platform" rather than an insurer.

This can create regulatory gaps.

24. Global Regulatory Model

A modern regulatory approach should have six layers.

Layer 1 — Market competition

Prevent:

• cartels;
• exclusion;
• abusive dominance;
• anti-competitive mergers.

Layer 2 — Platform regulation

Address:

• self-preferencing;
• discriminatory access;
• MFN clauses;
• ranking manipulation;
• interoperability.

Layer 3 — Data governance

Ensure:

• fair data access;
• portability;
• privacy;
• cybersecurity;
• non-discriminatory data sharing.

Layer 4 — AI governance

Control:

• opaque underwriting;
• discriminatory algorithms;
• algorithmic collusion;
• automated claims decisions.

Layer 5 — Insurance regulation

Maintain:

• solvency;
• policyholder protection;
• actuarial integrity;
• licensing;
• prudential supervision.

Layer 6 — Consumer protection

Protect consumers against:

• dark patterns;
• misleading comparisons;
• personalised exploitation;
• hidden commissions;
• unfair exclusions.

25. Key Competition-Law Issues

26. Future Direction

The future of insurance competition is likely to move from traditional analysis of insurance-company market shares toward analysis of ecosystem control.

The critical competitive assets may increasingly be:

Data

↓

Algorithms

↓

Customer interface

↓

Distribution platform

↓

Cloud infrastructure

↓

Insurance ecosystem

This means that a company can possess substantial competitive power without being the largest traditional insurer.

Conclusion

Global insurance-platform competition represents the convergence of insurance regulation, competition law, data governance and digital-platform regulation.

The traditional insurance model focused primarily on insurers competing to sell policies. The insurtech model introduces a more complicated structure in which a platform can simultaneously mediate transactions, control data, determine rankings, provide technology and compete with the businesses using its infrastructure.

The cases involving ComparetheMarket, Insurance Link, Aon/Willis Towers Watson, Anthem/Cigna and United India Insurance demonstrate different dimensions of this evolution: platform MFNs, access to insurance data, brokerage concentration, horizontal consolidation and cartelisation.

The central regulatory principle for the future should therefore be:

Competition must be protected not only between insurers, but also between the digital infrastructures through which insurance is increasingly designed, priced, distributed and serviced.

This is particularly important because the European Commission's financial-services framework expressly recognizes both the efficiency benefits of insurance cooperation and the possibility that such cooperation can distort competition.

In short: the next generation of insurance antitrust will increasingly concern who controls the data, algorithms, platforms and digital gateways through which insurance markets operate, rather than merely who sells the largest number of policies.