Competition Law and Perpetual Platform Dominance Theories

1. Introduction

Perpetual platform dominance refers to the theoretical situation in which a digital platform acquires such durable advantages that its market position becomes self-reinforcing and difficult for competitors to displace over time.

The theory is particularly relevant to:

search engines;

app stores;

social-media platforms;

online marketplaces;

digital advertising;

payment platforms;

cloud ecosystems;

operating systems;

digital identity systems; and

AI platforms.

Unlike conventional monopoly analysis, which often asks whether a firm presently possesses substantial market power, perpetual-dominance theories ask a further question:

What mechanisms allow a digital platform to preserve and reproduce dominance across successive technological, commercial and competitive cycles?

The concept is not itself a separate offence under competition law. It is an analytical framework for understanding durable market power, entry barriers, network effects, ecosystem effects, switching costs, data advantages and strategic conduct that may preserve dominance.

2. The Basic Theory

A conventional competitive market might be represented as:

Entry → Competition → Innovation → New Entry → Reallocation of Market Share

A platform characterised by perpetual-dominance dynamics may instead develop:

Users → Data → Better Service → More Users → More Data → More Developers/Merchants → More Users

This produces a self-reinforcing feedback loop.

The platform's initial success can therefore become an input into future dominance.

For example:

More users → more transaction data → improved recommendation algorithm → better consumer experience → more users.

The same logic can operate on the supply side:

More consumers → more merchants → more sellers → greater platform variety → more consumers.

3. Why Digital Platforms Can Produce Durable Dominance

A. Direct Network Effects

The value of a platform can increase as the number of users increases.

Examples include:

social networks;

communication platforms;

payment networks.

A new competitor may therefore face a major disadvantage even if its technology is comparable.

B. Indirect Network Effects

Platforms frequently connect different user groups.

For example:

Consumers ↔ Marketplace ↔ Sellers

or:

Users ↔ App Store ↔ Developers

or:

Advertisers ↔ Advertising Platform ↔ Consumers

Increasing participation on one side makes the platform more attractive to the other.

This can create a cross-side feedback loop.

4. Data as a Durability Mechanism

Data can strengthen platform dominance through:

personalisation;

recommendation systems;

advertising optimisation;

fraud detection;

search relevance;

demand forecasting;

pricing;

machine-learning training.

The important competition question is not simply whether a platform possesses large quantities of data.

The question is:

Does control over data create a competitive advantage that rivals cannot reasonably reproduce?

If yes, data may contribute to persistent market power.

5. Switching Costs

Platforms can become difficult to leave because users accumulate:

contacts;

reviews;

purchase histories;

playlists;

photographs;

subscriptions;

reputation;

business relationships;

application investments;

stored data.

Switching therefore imposes costs.

High switching costs can reduce competitive pressure even where competing platforms technically exist.

6. Ecosystem Lock-In

A platform may extend its activities across several complementary markets.

For example:

Operating system → App Store → Payments → Cloud → Advertising → Identity

The competitive advantage in one market can reinforce another.

This produces what may be called ecosystem dominance.

Competition law consequently needs to consider whether conduct in an adjacent market strengthens dominance in the original market.

7. Theoretical Forms of Perpetual Dominance

Several mechanisms can contribute to perpetual platform dominance.

1. Network-effect persistence

Existing scale makes new entry progressively harder.

2. Data-feedback persistence

Large datasets improve algorithms, which generate more users and therefore more data.

3. Ecosystem persistence

Complementary products increase switching costs.

4. Developer-side persistence

A large installed user base attracts developers, whose applications increase platform attractiveness.

5. Reputation persistence

Established platforms possess brand recognition and accumulated trust.

6. Distribution persistence

Control over operating systems, browsers, app stores or devices can give platforms privileged distribution.

7. Acquisition-based persistence

A dominant platform may acquire emerging competitors before they become significant competitive threats.

8. Interoperability persistence

Control over APIs or technical interfaces can affect whether rival services can connect with the ecosystem.

8. Relevant Competition-Law Doctrines

Perpetual dominance can be analysed through several established doctrines.

Article 102 TFEU / Abuse of Dominance

Potential conduct includes:

self-preferencing;

tying;

refusal to supply;

discriminatory access;

exclusivity;

predatory pricing;

margin squeeze;

leveraging;

interoperability restrictions.

Merger Control

Authorities can investigate whether an acquisition:

eliminates a potential competitor;

strengthens ecosystem power;

increases data concentration;

removes an emerging disruptive technology.

Article 101 TFEU

Agreements among platforms, suppliers or ecosystem participants can potentially restrict competition.

Essential-facility/access theories

In appropriate circumstances, control over indispensable infrastructure can raise questions about access for competitors.

9. Case Law

1. Google Search (Shopping) — Google v Commission

Case C-48/22 P

The Google Shopping litigation is highly relevant to platform-dominance theory.

The European Commission found that Google had abused its dominant position by favouring its own comparison-shopping service in general search results while giving competing comparison-shopping services less favourable treatment.

The litigation ultimately concerned Google's use of its dominant general-search position in relation to comparison-shopping services.

Relevance to perpetual dominance

The case demonstrates how an established platform can potentially use an existing distribution bottleneck to reinforce its position in an adjacent market.

The important mechanism is:

Search dominance → preferential visibility → traffic advantage → strengthened competitive position.

The case therefore illustrates leveraging through platform architecture.

10. Google Android — Case C-738/19 P

The Google Android proceedings concerned Google's practices involving Android mobile devices and applications.

The Commission examined arrangements involving:

Google Search;

Google Play;

Android devices;

licensing arrangements;

competing search applications.

The case illustrates how a platform ecosystem can use contractual and technical arrangements across interconnected markets.

Relevance

Android demonstrates the potential relationship between:

Operating-system scale → application distribution → search distribution → advertising ecosystem

This is central to the theory of ecosystem-based persistence.

11. Google Android — Commission Decision of 2018

The underlying Commission decision is particularly important for understanding the economics of platform ecosystems.

The Commission identified several contractual arrangements, including restrictions concerning:

pre-installation;

default search;

app-store licensing;

fragmentation.

Competition-law significance

The case illustrates how contractual conditions at one level of a digital ecosystem can affect competitive conditions at another level.

The theoretical concern is not merely present dominance.

It is the possibility of reinforcing dominance across complementary markets.

12. Microsoft — Case T-201/04

The Microsoft litigation concerned Microsoft's dominance in the PC operating-system market and its conduct relating to:

interoperability information;

Windows Media Player;

server operating systems.

The General Court largely upheld the Commission's findings.

Importance for perpetual dominance

Microsoft is an important precedent because it demonstrates how dominance in a technological platform can be extended into neighbouring markets through control over interfaces and complementary technologies.

The interoperability component is particularly significant.

If competitors cannot effectively interoperate with a dominant platform, the platform may become increasingly difficult to challenge.

13. Intel — Case C-413/14 P

The Intel litigation concerned rebates granted to computer manufacturers and a major retailer.

The Court of Justice required the competition authority to examine all relevant circumstances where the undertaking provides evidence that its rebates are not capable of restricting competition under the circumstances.

Relevance

The case is important for understanding how a dominant technology company may use commercial incentives to preserve customer relationships.

The broader theoretical connection is:

Existing market power → conditional incentives → customer retention → reduced opportunities for rivals.

This can contribute to persistence where competitors require access to the same customers or distribution channels.

14. Amazon Marketplace — European Commission

The European Commission investigated Amazon's use of non-public marketplace seller data.

The concern centred on whether Amazon used data generated by independent sellers to inform its own retail activities.

The Commission also examined the Buy Box and Prime-related marketplace practices.

Relevance

This is directly relevant to data-based perpetual dominance.

A vertically integrated marketplace may simultaneously operate as:

Infrastructure provider + data collector + competitor.

That creates the possibility of using information generated by dependent businesses to strengthen the platform's own downstream operations.

The competitive concern is therefore potentially self-reinforcing:

More sellers → more data → better platform intelligence → stronger own retail position → more sellers.

15. Apple App Store — Epic Games v Apple

The Epic Games litigation concerned Apple's control over iOS app distribution and payment arrangements.

Issues included:

app distribution;

payment systems;

commissions;

restrictions on alternative payment mechanisms;

Apple's control over the iOS ecosystem.

Relevance

The case illustrates the concept of platform gatekeeping.

A platform controlling access to a large installed user base can impose rules affecting developers who depend upon that distribution channel.

The broader perpetual-dominance question is:

Can developers realistically bypass the platform's gatekeeping function?

If they cannot, platform control may persist even when alternative technologies exist.

16. United States v Google — Search and Advertising

The US Google antitrust litigation concerning search distribution and related agreements provides another important example.

The government's case examined Google's agreements concerning default search placement and distribution.

Relevance

Default positions can create powerful behavioural effects.

The mechanism can be represented as:

Default status → increased usage → more data and advertising revenue → greater scale → stronger ability to obtain distribution → continued default status.

This illustrates a potential self-reinforcing distribution loop.

17. United Brands v Commission — Case 27/76

Although not a digital-platform case, United Brands remains important for the underlying concept of dominance.

The Court described dominance in terms of economic strength enabling an undertaking to behave to an appreciable extent independently of competitors, customers and ultimately consumers.

Relevance

The case provides the conceptual foundation for analysing durable platform power.

Perpetual-dominance theory does not replace the traditional dominance test.

Instead, it asks:

Why might the economic strength of a dominant platform remain durable over time?

18. IMS Health — Case C-418/01

IMS Health concerned access to an information structure protected by intellectual-property rights.

The Court examined the circumstances in which refusal to license intellectual property can constitute abusive conduct.

Relevance

The case is useful when analysing digital infrastructures where a dominant platform controls an interface, database, technical system or other resource that competitors may need to compete effectively.

It demonstrates that refusal of access is not automatically abusive; the stringent conditions associated with exceptional-access cases remain important.

19. Perpetual Dominance and Killer Acquisitions

A platform may maintain dominance not only through internal conduct but also through acquisitions.

The theoretical concern is:

What if the strongest future competitor is acquired before it becomes a meaningful competitive constraint?

This creates a distinction between:

Current competition

The acquired firm currently competes with the incumbent.

Potential competition

The acquired firm could become an important competitor in the future.

Innovation competition

The acquired firm possesses technology that could disrupt the incumbent's business model.

This has made digital merger control increasingly concerned with acquisitions involving startups and nascent competitors.

20. The Role of Self-Preferencing

Self-preferencing occurs where a platform gives preferential treatment to its own products or services compared with competing products using the platform.

Examples could include:

search ranking;

marketplace rankings;

app-store visibility;

advertising placement;

recommendation algorithms.

The competition concern is particularly strong where the platform controls the rules of visibility.

A platform may effectively act as:

Referee + infrastructure owner + competitor.

That dual role can generate structural conflicts of interest.

21. Algorithmic Reinforcement

Modern platforms can also use algorithms to reproduce dominance.

For example:

More users → more behavioural data → better algorithm → better recommendations → more engagement → more users.

This can create algorithmic scale economies.

The important question is whether the algorithm merely reflects superior efficiency or whether it incorporates exclusionary practices.

Competition law should therefore distinguish:

Legitimate algorithmic improvement

Better service based on innovation.

from

Exclusionary algorithmic conduct

Algorithmic treatment designed to disadvantage competing suppliers or services.

22. Artificial Barriers to Entry

Perpetual dominance becomes particularly significant where incumbents create or reinforce barriers such as:

technical incompatibility;

restrictive APIs;

data portability limitations;

contractual exclusivity;

discriminatory ranking;

tying;

interoperability restrictions;

excessive switching costs;

restrictions on alternative payment systems.

A market can appear open formally while being difficult to enter economically.

23. Contestability Versus Dominance

A crucial distinction should be made between dominance and absence of competition.

A platform may possess a very large market share but still face:

technological disruption;

multi-homing;

low switching costs;

strong innovation;

emerging competitors.

Conversely, a platform with several competitors may possess substantial durable power if those competitors cannot effectively constrain it.

Therefore, market share alone cannot establish perpetual dominance.

24. Competition Law and Innovation

Perpetual-dominance theory creates an important innovation-policy problem.

Aggressive intervention can potentially discourage:

investment;

platform development;

interoperability innovation;

economies of scale.

But insufficient intervention can allow entrenched platforms to prevent disruptive competitors from developing.

The appropriate competition analysis therefore needs to distinguish between:

efficiency-producing scale

and

exclusionary scale.

25. Key Indicators of Durable Platform Dominance

Authorities examining a platform could consider:

market share;

duration of market power;

network effects;

switching costs;

multi-homing;

data advantages;

interoperability;

access to distribution;

ecosystem integration;

developer dependence;

merchant dependence;

contractual exclusivity;

acquisition history;

entry barriers;

innovation competition;

potential competitors;

control over standards;

control over defaults;

self-preferencing;

ability to leverage dominance into neighbouring markets.

26. Competition-Law Risks Associated with Perpetual Platform Dominance

27. Perpetual Dominance and Essential-Facility Theory

A platform may become sufficiently important that competitors depend upon access to:

APIs;

app stores;

operating systems;

payment infrastructure;

identity systems;

technical interfaces;

marketplace infrastructure.

However, not every successful platform is an essential facility.

Competition law traditionally imposes demanding requirements before a refusal to supply becomes abusive.

The IMS Health and related jurisprudence demonstrates the need for careful analysis before converting a commercial dependency into a mandatory-access obligation.

28. Remedies

Where unlawful conduct is established, possible remedies include:

Access remedies

interoperability;

API access;

technical interfaces;

data portability.

Conduct remedies

prohibition of self-preferencing;

restrictions on exclusivity;

non-discrimination requirements;

prohibition of tying.

Structural remedies

In exceptional circumstances:

divestiture;

business separation;

functional separation.

Merger remedies

prohibition;

divestiture;

behavioural commitments;

interoperability commitments.

29. Six Core Case Laws at a Glance

30. Conclusion

The perpetual platform dominance theory is best understood as an extension of traditional competition analysis rather than a standalone legal doctrine.

Its central proposition is that digital dominance can become self-reinforcing because platforms simultaneously control users, data, infrastructure, distribution, standards and complementary ecosystems.

The most important competitive feedback loops are:

Network effects → scale → greater attractiveness → further scale

Data → better algorithms → better service → more data

Users → developers/merchants → greater platform functionality → more users

Distribution control → defaults → usage → scale → stronger distribution bargaining power

Ecosystem integration → switching costs → customer retention → durable market power

Cases such as Google Shopping, Google Android, Microsoft, Intel, Amazon Marketplace, Epic Games v Apple, United Brands and IMS Health demonstrate different components of this problem.

The key competition-law challenge is therefore to distinguish legitimate durable success produced by innovation and efficiency from durability maintained through exclusionary conduct. The latter can potentially fall within abuse-of-dominance rules, restrictive-agreement provisions, merger control or access/interoperability doctrines, depending on the jurisdiction and facts.