Competition Law and Intelligent Exclusion Ecosystems and Market Power

1. Introduction

Intelligent exclusion ecosystems are digital or technology-enabled business environments in which a firm uses data, algorithms, artificial intelligence, interoperability controls, platform rules, default settings, ranking systems, APIs, access conditions, or ecosystem integration to make it difficult for rivals to compete.

The central competition-law concern is not simply that a firm has a large ecosystem. The concern arises when market power within one part of the ecosystem is used strategically to exclude competitors, foreclose complementary products, raise rivals’ costs, reduce interoperability, or entrench the incumbent's position.

Examples include:

• a dominant operating system favouring its own applications;
• an app store restricting alternative payment systems;
• a search platform favouring its own specialised services;
• a digital platform restricting access to essential data;
• a dominant ecosystem making interoperability technically or contractually difficult;
• an online marketplace using seller or consumer data to compete against marketplace participants;
• an integrated platform using algorithms to disadvantage competing services;
• tying a complementary product to a dominant platform;
• imposing exclusivity or anti-steering obligations;
• using defaults and interface design to make rival products materially less accessible.

The legal analysis generally requires distinguishing legitimate product integration and innovation from exclusionary conduct that protects or extends market power.

2. Meaning of an Intelligent Exclusion Ecosystem

An intelligent exclusion ecosystem can be understood as a system having four characteristics:

A. A central platform or infrastructure

There is normally a core product or service around which complementary products develop.

Examples:

• operating systems;
• app stores;
• search engines;
• cloud platforms;
• payment ecosystems;
• e-commerce marketplaces;
• digital advertising systems;
• social-media platforms;
• connected-device ecosystems.

B. Data and algorithmic control

The platform may control:

• user data;
• transaction information;
• ranking algorithms;
• recommendation systems;
• search results;
• access APIs;
• interoperability standards;
• identity systems;
• developer tools.

C. Network effects

The value of the platform may increase as more users, developers, merchants or advertisers participate.

This can create:

More users → more data → better service → more developers → more applications → more users

Once the cycle becomes sufficiently strong, competitors may face substantial barriers to entry.

D. Intelligent exclusion

The exclusion can be implemented through automated or technologically sophisticated mechanisms rather than an obvious contractual prohibition.

For example:

Algorithmic ranking → lower visibility for rival products → fewer users → reduced investment → weaker rival → greater incumbent market power.

This creates a difficult competition-law question because the exclusion may not appear as an explicit refusal to deal.

3. Relevant Competition-Law Framework

A. Abuse of Dominance

The primary concern is usually abuse of a dominant position.

Competition law generally does not prohibit dominance itself.

The distinction is:

Dominance + legitimate competition = generally lawful

whereas:

Dominance + exclusionary or exploitative conduct = potential abuse

Relevant forms of abuse include:

• refusal of access;
• discriminatory access;
• tying;
• bundling;
• exclusive dealing;
• loyalty-inducing arrangements;
• self-preferencing;
• predatory pricing;
• margin squeeze;
• discriminatory interoperability;
• anti-steering restrictions;
• leveraging dominance into adjacent markets.

4. Ecosystem Effects and Market Definition

Traditional market definition can be difficult in digital ecosystems because a platform may operate simultaneously across multiple related markets.

For example:

Operating system
↓
App store
↓
Payment system
↓
Applications
↓
Advertising/data services

The relevant question is therefore not merely:

"What is the platform's market share?"

It is also:

"Where does the platform possess market power, and how is that power transmitted through the ecosystem?"

5. Market Power in Intelligent Ecosystems

Market power may derive from several factors.

1. Network effects

Large user bases can make entry difficult.

2. Switching costs

Users may lose:

• data;
• applications;
• subscriptions;
• contacts;
• purchasing history;
• device compatibility.

3. Multi-homing limitations

If users or businesses cannot efficiently use several competing platforms simultaneously, the incumbent can obtain stronger market power.

4. Data advantages

Large-scale data may improve:

• recommendation algorithms;
• advertising;
• search;
• fraud detection;
• pricing;
• personalisation.

5. Ecosystem lock-in

A consumer may remain within an ecosystem because multiple products are interconnected.

6. Technical barriers

Interoperability may be limited through:

• APIs;
• technical protocols;
• authentication;
• access keys;
• software restrictions;
• compatibility requirements.

6. Major Exclusionary Mechanisms

A. Self-Preferencing

A platform may rank its own product above competing products.

Example:

Search platform → own comparison service → competitor comparison services receive lower placement.

The competition issue is whether the conduct improperly leverages dominance in one market into another.

B. Algorithmic Discrimination

Algorithms can determine:

• search ranking;
• seller visibility;
• advertising access;
• recommendations;
• pricing;
• commissions;
• eligibility.

An exclusionary algorithm may disadvantage rivals without any employee expressly ordering the exclusion.

Competition authorities therefore increasingly examine algorithmic effects rather than merely contractual language.

C. Data-Based Exclusion

A dominant platform may possess extensive information concerning competitors.

For example, a marketplace may observe:

• sales volumes;
• prices;
• customer preferences;
• conversion rates;
• product demand.

The platform could potentially use this information to compete against the businesses dependent on its infrastructure.

The competition concern becomes particularly serious where access to data is indispensable or where the platform's conduct prevents competitors from obtaining comparable information.

D. Interoperability Restrictions

A dominant ecosystem may make it difficult for competing products to interact with its infrastructure.

Examples:

• restricting APIs;
• withholding technical information;
• limiting compatibility;
• imposing unreasonable certification requirements;
• reducing functionality for interoperable products.

Such conduct can increase rivals' costs and reduce consumer choice.

E. Tying and Bundling

A dominant platform may condition access to one product on the purchase or use of another.

For example:

Dominant operating system → mandatory use of associated browser/payment/search service.

The relevant questions include:

1. Are there separate products?
2. Does the firm possess dominance in the tying market?
3. Is access to the tied product conditional?
4. Can the conduct foreclose competitors?
5. Is there objective justification?

7. Important Case Laws

1. United States v. Microsoft Corp. (2001)

The Microsoft litigation is one of the foundational cases concerning ecosystem exclusion.

Microsoft possessed substantial power in the market for Intel-compatible PC operating systems. Its conduct concerning Internet Explorer and browser distribution was challenged as exclusionary.

The case demonstrated how a dominant technology firm can use control over a platform to disadvantage complementary products and potential competitive threats.

Principle

A dominant platform cannot necessarily use contractual arrangements, technical design, or distribution restrictions simply to prevent competitors from obtaining access to distribution channels.

Relevance to intelligent ecosystems

Microsoft illustrates the importance of examining:

• platform control;
• distribution advantages;
• technical integration;
• network effects;
• exclusion of nascent competitors.

8. United States v. Google LLC — Search Distribution Litigation

The U.S. Google search litigation concerns agreements through which Google secured extensive distribution of its search engine through browsers, mobile devices and other access points.

The case illustrates the competition significance of:

• default positions;
• distribution agreements;
• scale;
• network effects;
• search data;
• barriers to competing search engines.

Principle

A dominant digital platform can potentially reinforce market power when contractual arrangements make competing services substantially less capable of obtaining effective distribution.

Ecosystem significance

The case demonstrates that exclusion can occur through control of access points, rather than simply through an explicit prohibition against competitors.

9. Google Android — European Commission

The European Commission's Android decision concerned Google's conduct involving Android mobile devices, including arrangements concerning Google Search, Chrome and application distribution.

The Commission examined several forms of conduct, including:

• tying;
• restrictions concerning alternative Android versions;
• arrangements affecting search distribution.

Principle

A dominant platform can face competition-law scrutiny when it uses contractual or ecosystem mechanisms to extend its position from one market into related markets.

Ecosystem significance

Android illustrates the concept of leveraging:

Operating-system dominance → application ecosystem → search distribution → reinforcement of market position.

10. Google Shopping — European Commission

The Google Shopping case concerned Google's treatment of its comparison-shopping service in search results.

The Commission found that Google had systematically given prominent placement to its own comparison-shopping service while applying generic search ranking mechanisms to competing comparison services.

The General Court subsequently upheld the Commission's decision in substantial part.

Principle

A dominant search platform's use of its infrastructure to favour its own downstream service can raise serious competition concerns.

Ecosystem significance

The case is particularly relevant to:

• self-preferencing;
• algorithmic ranking;
• platform neutrality;
• data advantages;
• leveraging;
• foreclosure.

It shows how algorithmic architecture itself can become relevant to competition law.

11. Intel v. Commission

The Intel litigation concerned rebates offered by Intel to major computer manufacturers and a large retailer.

The European Commission treated the arrangements as exclusionary because they could restrict the ability of competing AMD products to obtain effective access to the market.

The European Court of Justice ultimately required a more effects-oriented examination where the undertaking provides evidence that the conduct was not capable of restricting competition in the circumstances.

Principle

The legality of exclusionary rebates may require examination of their actual or potential effects, particularly where the undertaking contests the presumption of foreclosure.

Ecosystem significance

The case is relevant to intelligent ecosystems because digital platforms frequently use:

• discounts;
• commissions;
• incentives;
• preferential terms;
• loyalty programmes.

These mechanisms can produce exclusionary effects even without an express prohibition on competing products.

12. Bronner v Mediaprint

In Oscar Bronner GmbH & Co. KG v Mediaprint, the Court of Justice considered whether a dominant undertaking could be required to provide access to infrastructure under the essential-facilities principles.

The Court imposed a demanding test for compulsory access.

Principle

A refusal to provide access is not automatically abusive merely because access would make competition easier.

Generally, the infrastructure must satisfy stringent conditions concerning indispensability and the elimination of effective competition.

Ecosystem significance

This is highly relevant to:

• APIs;
• cloud infrastructure;
• digital identity systems;
• payment infrastructure;
• app stores;
• interoperability.

It helps distinguish:

genuine indispensable infrastructure

from:

infrastructure that is merely useful to competitors.

13. Slovak Telekom v Commission

The Slovak Telekom litigation concerned access to telecommunications infrastructure and a margin-squeeze theory.

The case is significant because a vertically integrated dominant firm can potentially harm competition where the conditions it imposes on access to an upstream facility make effective downstream competition impracticable.

Principle

A vertically integrated dominant undertaking's pricing or access conditions can be abusive where they effectively prevent equally efficient competitors from competing downstream.

Ecosystem significance

The principle translates naturally into digital ecosystems:

Infrastructure/platform → access conditions → downstream service → competitive foreclosure.

14. Qualcomm — European Commission

The Qualcomm decisions concerned payments and incentives relating to chipset supply.

The European Commission examined whether Qualcomm's arrangements with Apple had exclusionary effects on competing chipset suppliers.

The litigation demonstrates the importance of assessing:

• conditional payments;
• customer incentives;
• foreclosure;
• duration;
• market coverage;
• competitive effects.

Ecosystem significance

Digital ecosystems often contain sophisticated incentive structures involving:

• developers;
• manufacturers;
• distributors;
• advertisers;
• merchants.

Competition law can therefore examine economic substance rather than merely the formal wording of agreements.

15. Epic Games v Apple

The Apple–Epic litigation provides an important example of disputes surrounding digital ecosystems and app distribution.

Epic challenged Apple's rules concerning the App Store, including restrictions concerning payment systems and alternative purchasing mechanisms.

The litigation illustrates the competition issues created where one company controls:

operating system → app distribution → payment infrastructure → consumer access.

Key competition questions

• Is the platform dominant?
• Is the app store a separate relevant market?
• Are alternative payment systems being excluded?
• Do anti-steering restrictions restrict competition?
• Are platform commissions commercially justified?
• What are the effects on developers and consumers?

The case demonstrates that ecosystem governance itself can become a central competition-law issue.

16. Qualcomm Inc. v European Commission

The Qualcomm litigation also demonstrates the difficulties involved in proving exclusionary effects in technology markets.

The General Court annulled the Commission's decision because of deficiencies in the assessment of the conduct and its effects.

Importance

This demonstrates an important limitation:

Competition authorities must establish exclusionary effects with sufficient legal and economic analysis.

Large market share or aggressive commercial conduct alone does not automatically establish abuse.

17. Strategic Exclusion Through Ecosystem Architecture

The principal mechanisms can be represented as follows:

                    DOMINANT PLATFORM                           │          ┌────────────────┼────────────────┐          ↓                ↓                ↓       DATA             API ACCESS       DEFAULTS          │                │                │          ↓                ↓                ↓    ALGORITHMS       INTEROPERABILITY    USER ACCESS          │                │                │          └────────────────┼────────────────┘                           ↓                 DOWNSTREAM ECOSYSTEM                           │                           ↓                  COMPETING SERVICES                           │                ┌──────────┴──────────┐                ↓                     ↓          Reduced visibility     Higher costs                ↓                     ↓                └──────────┬──────────┘                           ↓                    MARKET FORECLOSURE                           ↓                 ENTRENCHED MARKET POWER

18. Competition Effects

A. Foreclosure of competitors

The principal concern is that rivals may technically remain in the market but lose meaningful access to customers.

This is sometimes called effective foreclosure.

B. Raising rivals' costs

A platform may impose:

• higher access charges;
• technical requirements;
• certification costs;
• data restrictions;
• interoperability limitations.

Competitors may therefore have to spend substantially more to compete.

C. Reduction of innovation

If rivals cannot obtain sufficient scale, investment in alternative technologies may decline.

Potential effects include:

• fewer innovative products;
• slower technological development;
• reduced experimentation.

D. Consumer lock-in

Consumers may become increasingly dependent upon one ecosystem.

Switching may involve:

• financial costs;
• learning costs;
• loss of data;
• loss of interoperability;
• loss of applications;
• loss of subscriptions.

E. Entrenchment of market power

Network effects can create a feedback mechanism:

Market power → exclusion → greater user concentration → more data → stronger algorithms → greater market power.

This is one of the distinctive concerns of intelligent digital ecosystems.

19. Legitimate Business Justifications

Not every exclusionary-looking practice violates competition law.

A platform may legitimately restrict interoperability for:

Security

Opening APIs may increase cybersecurity risks.

Privacy

Data sharing may conflict with privacy requirements.

Product quality

Uniform technical standards may ensure reliable performance.

Fraud prevention

Restrictions may protect consumers against fraud.

Intellectual property

A company may legitimately protect proprietary technology.

Investment incentives

The platform may argue that restrictions are necessary to recover investment.

The crucial question is whether the justification is:

1. genuine;
2. proportionate;
3. objectively supported;
4. applied consistently;
5. no more restrictive than reasonably necessary.

20. Competition-Law Test

A useful analytical framework is:

Step 1 — Define the relevant market

Identify:

• product market;
• geographic market;
• platform-side markets;
• complementary markets.

Step 2 — Establish market power

Examine:

• market share;
• barriers to entry;
• network effects;
• switching costs;
• data advantages;
• interoperability;
• countervailing buyer power.

Step 3 — Identify the exclusionary mechanism

Determine whether the conduct involves:

• self-preferencing;
• tying;
• bundling;
• exclusivity;
• refusal of access;
• discriminatory interoperability;
• algorithmic discrimination;
• anti-steering;
• loyalty incentives.

Step 4 — Examine foreclosure

Ask:

Can equally efficient competitors realistically compete?

Step 5 — Assess actual or potential effects

Consider:

• prices;
• output;
• innovation;
• quality;
• consumer choice;
• entry;
• competitor viability.

Step 6 — Examine objective justification

Determine whether the restriction is:

• necessary;
• proportionate;
• technologically justified;
• security-related;
• privacy-related.

Step 7 — Consider remedies

Possible remedies include:

• interoperability;
• non-discrimination;
• data portability;
• access obligations;
• prohibition of tying;
• behavioural commitments;
• algorithmic transparency;
• structural separation in exceptional circumstances.

21. Role of Artificial Intelligence

AI intensifies ecosystem exclusion because algorithms can continuously optimise commercial decisions.

An AI-driven platform may automatically determine:

• which competitor appears in search;
• which seller receives visibility;
• which advertisement is displayed;
• which application is recommended;
• which customers receive offers;
• which developers obtain access;
• which transactions receive favourable treatment.

The exclusion may therefore be:

dynamic rather than static.

This creates enforcement challenges because the relevant algorithm may change continuously.

Competition authorities may consequently need to examine:

• training data;
• model objectives;
• ranking criteria;
• input variables;
• output patterns;
• feedback loops;
• algorithmic optimisation;
• internal experimentation.

22. Data as an Ecosystem-Control Mechanism

Data can operate as both an input and a competitive weapon.

Consider:

Large user base      ↓ More transactions      ↓ More data      ↓ Better AI / algorithms      ↓ Better service      ↓ More users      ↓ More data

A dominant firm can potentially strengthen this loop by restricting rivals' access to relevant data.

Competition analysis should therefore distinguish between:

• ordinary competitive advantage from superior data;
• legitimate privacy restrictions;
• strategic exclusion through discriminatory data access.

23. Interoperability and Competition

Interoperability is particularly important in ecosystem markets.

Closed ecosystem

Platform   ↓ Own API   ↓ Own applications   ↓ Own payment system

Interoperable ecosystem

Platform   ↓ Standardised interface   ↓ Multiple providers   ↓ Competition   ↓ Consumer choice

However, mandatory interoperability is not automatically appropriate.

The competition authority must balance:

• competitive access;
• innovation incentives;
• cybersecurity;
• privacy;
• intellectual property;
• technical feasibility.

24. Exclusion Versus Innovation

A central difficulty is distinguishing competitive innovation from exclusionary innovation.

Potentially legitimate

A company develops a superior integrated product that consumers prefer.

Potentially problematic

A dominant company modifies its ecosystem specifically to prevent rival products from functioning effectively.

The distinction depends upon evidence concerning:

• purpose;
• design;
• effects;
• alternatives;
• technical necessity;
• proportionality;
• market conditions.

25. Remedies

Competition authorities may employ several remedies.

Behavioural remedies

• prohibit discriminatory access;
• require interoperability;
• prohibit tying;
• prohibit anti-steering restrictions;
• require fair access terms;
• impose non-discrimination obligations.

Data remedies

• data portability;
• data-access obligations;
• separation of competitively sensitive information;
• restrictions on data use.

Structural remedies

In exceptional cases:

• business separation;
• divestiture;
• separation of infrastructure and downstream operations.

Monitoring remedies

Because intelligent ecosystems continuously evolve, authorities may also require:

• compliance reporting;
• independent monitoring;
• algorithmic audits;
• periodic review.

26. Key Case-Law Principles — Consolidated

27. Emerging Legal Issues

The next generation of competition disputes is likely to involve:

1. AI self-preferencing

AI assistants may recommend their owner's products over competing services.

2. Generative-AI ecosystems

Control over:

• foundation models;
• cloud computing;
• chips;
• APIs;
• distribution channels

may create vertically integrated ecosystems.

3. Data portability

Competition authorities may increasingly examine whether consumers and businesses can move data between ecosystems.

4. AI-powered pricing

Algorithms may simultaneously optimise pricing and potentially facilitate exclusion or coordination.

5. Autonomous ecosystems

AI agents could choose products and services automatically, making control over recommendation infrastructure strategically significant.

6. Cloud lock-in

Cloud providers may make migration difficult through:

• technical incompatibility;
• data-transfer costs;
• proprietary services;
• contractual restrictions.

7. Digital identity

Control over authentication and identity infrastructure may create significant downstream advantages.

28. Conclusion

Intelligent exclusion ecosystems represent a modern form of market-power entrenchment in which technology, data, algorithms, interoperability and network effects can operate together to disadvantage competitors.

Competition law therefore increasingly needs to examine not only explicit contractual restrictions but also the architecture of the ecosystem itself.

The central analytical question is:

Whether a firm possessing substantial market power is using control over a platform, data, algorithm, interface, infrastructure or ecosystem to materially restrict effective competition in an adjacent or complementary market.

The Microsoft, Google Shopping, Google Android, Bronner, Slovak Telekom, Intel, Qualcomm and Epic Games disputes demonstrate different dimensions of this problem.

Ultimately, competition law seeks to preserve the possibility of effective competition, innovation and consumer choice without treating every successful ecosystem, technological integration or proprietary interface as unlawful. The decisive analysis therefore turns on market power, exclusionary mechanism, foreclosure effects, competitive harm, objective justification and proportionality.