Competition Law and Strategic Ecosystem Evolution Control and Antitrust

1. Introduction

Strategic ecosystem evolution control refers to the use of market power, technology, contracts, acquisitions, data, interoperability rules, standards, pricing systems, or platform architecture to influence how an entire business ecosystem develops over time.

This is broader than conventional abuse of dominance. Traditional antitrust often asks whether a firm excluded rivals in an existing relevant market. Ecosystem competition asks an additional question:

Can a powerful firm control the evolution of the surrounding ecosystem in such a way that future competitors, complementary products, technologies, or alternative business models cannot develop effectively?

This issue is particularly important in digital markets, where an ecosystem may contain:

• an operating system;
• an app store;
• search services;
• payment systems;
• cloud infrastructure;
• advertising technology;
• data assets;
• hardware;
• APIs and interoperability layers;
• developers and complementors;
• distribution channels; and
• consumer accounts or identity systems.

Modern competition analysis increasingly recognizes that network effects, switching costs, data advantages, technological dependencies and control over access points can reinforce one another. EU competition-law analysis, for example, has expressly examined ecosystems through concepts such as multi-sided platforms, network effects and technological or contractual dependencies.

2. Meaning of Strategic Ecosystem Evolution Control

The concept can be divided into four components.

A. Ecosystem

An ecosystem consists of interconnected products, services, technologies and participants whose competitive conditions influence one another.

For example:

Operating system → App store → Developers → Apps → Users → Data → Advertising → Payments

Control at one layer can therefore affect competition at several other layers.

B. Evolution

The concern is not merely today's competition.

It concerns whether conduct changes:

• future entry;
• technological development;
• interoperability;
• innovation trajectories;
• consumer switching;
• development of competing ecosystems;
• access to distribution; and
• the bargaining position of complementors.

C. Control

Control may arise from:

1. ownership;
2. contractual restrictions;
3. technical design;
4. interoperability restrictions;
5. exclusive agreements;
6. self-preferencing;
7. tying and bundling;
8. acquisitions;
9. control over data;
10. control over standards or APIs.

D. Antitrust significance

The central antitrust concern is foreclosure of present or future competition.

The relevant theory may involve:

• abuse of dominance;
• monopolization;
• exclusionary conduct;
• tying;
• exclusive dealing;
• refusal of access;
• self-preferencing;
• discriminatory access;
• anticompetitive acquisitions;
• interoperability restrictions; or
• coordinated conduct.

3. Why Ecosystem Evolution Creates a Special Antitrust Problem

3.1 Network effects

The value of a platform can increase as more users and complementors join it.

For example:

More users → more developers → more applications → more users

This creates a feedback loop.

A dominant ecosystem may therefore become increasingly difficult to challenge even without continuously engaging in overt exclusionary conduct.

3.2 Switching costs

Users may accumulate:

• purchased applications;
• stored data;
• contacts;
• subscriptions;
• cloud files;
• digital identities;
• accessories;
• learned interfaces.

Consequently, switching from Ecosystem A to Ecosystem B may be economically or practically costly.

High switching costs can allow an incumbent to protect its ecosystem against emerging competitors.

3.3 Control over complementors

An ecosystem owner can potentially influence businesses operating inside its ecosystem.

Examples include:

• app developers;
• payment providers;
• advertisers;
• sellers;
• cloud customers;
• hardware manufacturers;
• software developers.

The platform may impose:

• access fees;
• ranking rules;
• technical requirements;
• data restrictions;
• exclusivity obligations;
• interoperability limitations.

4. Strategic Evolution as a Theory of Harm

A useful framework is:

Existing market power

↓

Control over an ecosystem bottleneck

↓

Control over complementors / data / distribution

↓

Higher switching costs and network effects

↓

Reduced opportunities for rival ecosystems

↓

Suppression of future entry or innovation

↓

Long-term reduction in competitive pressure

This is sometimes associated with the idea of defensive foreclosure—conduct designed not merely to exploit existing dominance but to prevent alternative competitive paths from developing. Recent competition-policy scholarship identifies blocking entry paths and defensive foreclosure as important ecosystem theories of harm.

5. Major Forms of Strategic Ecosystem Control

A. Technological control

A dominant company can technically determine:

• which applications can communicate;
• which APIs are accessible;
• which payment systems operate;
• which devices interoperate;
• which data can be exported.

This can create an ecosystem that is technically difficult to challenge.

B. Contractual control

Contracts can reinforce ecosystem dominance through:

• exclusivity;
• anti-steering clauses;
• parity provisions;
• tying requirements;
• restrictions on alternative distribution;
• minimum commitments.

Alibaba's Chinese antitrust case illustrates the importance of contractual ecosystem control: SAMR found that Alibaba had required merchants to choose between its platform and competing platforms, imposing a significant restriction on multi-platform participation.

C. Self-preferencing

An ecosystem owner can favor its own downstream service.

Examples include:

• ranking its own service above rivals;
• displaying its own products more prominently;
• giving its own apps privileged technical access;
• using ecosystem data to benefit an affiliated service.

D. Data control

Data can function as an ecosystem advantage.

A dominant platform may obtain data from:

• users;
• sellers;
• developers;
• advertisers;
• business customers.

It can potentially use that information to improve competing downstream products.

E. Acquisition control

An incumbent may acquire:

• actual competitors;
• emerging competitors;
• complementary technologies;
• potential future competitors.

The competitive issue is particularly important where a relatively small acquisition could eliminate an important future competitive pathway.

6. Relevant Legal Frameworks

European Union

The principal provisions include:

Article 101 TFEU

Deals with agreements and concerted practices restricting competition.

Article 102 TFEU

Prohibits abuse of a dominant position.

Potential ecosystem abuses include:

• tying;
• exclusionary conduct;
• discriminatory access;
• refusal to supply;
• self-preferencing;
• loyalty-inducing arrangements.

EU Merger Regulation

Important where acquisitions may eliminate actual or potential competitive constraints.

Digital Markets Act

The DMA supplements traditional ex-post competition law with obligations imposed on designated gatekeepers. The European Commission has used the DMA to address matters such as steering, self-preferencing and platform choice.

United States

Relevant provisions include:

• Sherman Act §1;
• Sherman Act §2;
• Clayton Act §7;
• FTC Act §5.

The US approach can address:

• monopolization;
• exclusionary conduct;
• anticompetitive acquisitions;
• platform restrictions;
• ecosystem foreclosure.

China

The principal framework is the Anti-Monopoly Law (AML).

Particularly relevant are:

• abuse of dominance;
• exclusive dealing;
• tying;
• discriminatory treatment;
• platform-related conduct;
• concentrations of undertakings.

China's enforcement against major digital platforms has demonstrated that ecosystem control can be examined through conventional dominance concepts adapted to platform markets.

7. Important Case Laws

1. Google Android — Google LLC and Alphabet Inc. v European Commission, Case T-604/18

Facts

The European Commission examined Google's Android ecosystem, including:

• Android operating systems;
• Google Play Store;
• Google Search;
• Chrome;
• device manufacturers;
• mobile network operators.

The Commission found a combination of contractual arrangements involving product bundling, exclusivity payments and anti-fragmentation obligations.

The General Court's judgment expressly addressed the concepts of a multi-sided platform and an ecosystem.

Competition issue

The important issue was whether Google could use its position in the Android ecosystem to reinforce its position in adjacent services.

Principle

The case demonstrates that competition authorities can examine several interconnected layers together rather than treating every product as completely isolated.

Importance for ecosystem evolution

The case is especially relevant because:

Operating-system dominance + app-store control + search distribution + contractual restrictions can reinforce one another.

The Court recognized the importance of factors such as network effects, barriers to entry and the position of the Play Store.

8. Google Shopping — Google and Alphabet / European Commission

The Google Shopping case concerned Google's conduct in comparison-shopping services.

Competition concern

Google was accused of favoring its own comparison-shopping service within general search results while rival comparison-shopping services received less favorable treatment.

Ecosystem significance

The case illustrates self-preferencing.

A platform controlling an important gateway can influence competition downstream by determining:

• ranking;
• visibility;
• traffic;
• consumer discovery.

Strategic evolution dimension

The concern is not simply that one rival receives less traffic.

It is that persistent control over the gateway may prevent alternative services from achieving sufficient scale to develop into viable competitive ecosystems.

This concept has subsequently become important in EU digital-platform enforcement, including the DMA's treatment of self-preferencing. The Commission stated in 2026 that Google had breached DMA requirements concerning preferential treatment of its own services in Google Search.

9. Microsoft / Internet Explorer — European Commission

The Microsoft browser case is an important earlier example of ecosystem leverage.

Facts

Microsoft controlled the Windows operating system and incorporated Internet Explorer into that ecosystem.

Competition concern

The issue was whether Microsoft's control of an essential distribution layer—Windows—could be used to strengthen its position in browser markets.

Principle

A dominant firm cannot necessarily use control over one technological layer to improperly foreclose competition in an adjacent market.

Ecosystem significance

The case illustrates the classic:

Core platform → distribution advantage → adjacent-market foreclosure

model.

It is an important predecessor to modern ecosystem cases involving:

• operating systems;
• app stores;
• browsers;
• search engines;
• cloud platforms.

10. FTC v. Facebook / Meta

The US Federal Trade Commission brought proceedings alleging that Facebook maintained monopoly power through a broader strategy involving acquisitions and developer restrictions. The FTC's case specifically identifies Facebook's acquisitions of Instagram and WhatsApp and alleged restrictions imposed on developers.

Competition issue

The case illustrates the ecosystem acquisition theory.

The concern is that an incumbent may acquire businesses that could:

• become independent competitors;
• develop alternative networks;
• attract users away from the incumbent;
• evolve into competing ecosystems.

Strategic evolution

The important concept is potential competition.

A small company today may become a significant competitive constraint tomorrow.

Therefore, ecosystem antitrust cannot always focus exclusively on current market shares.

11. FTC v. Meta / Within

This case concerned Meta's proposed acquisition of Within Unlimited, a virtual-reality fitness application developer.

The FTC alleged that the acquisition could reduce competition and innovation in VR fitness because Meta already operated important VR hardware, software and app-store infrastructure.

Ecosystem significance

This illustrates vertical and ecosystem expansion through acquisition.

The competitive concern can be represented as:

VR headset

↓

VR operating environment

↓

VR app store

↓

VR applications

↓

VR fitness applications

Acquiring a downstream application can potentially strengthen the ecosystem owner across multiple layers.

Principle

Merger analysis may need to consider not merely today's horizontal overlap but also how an acquisition affects the future structure and development of an emerging ecosystem.

12. Alibaba — China / SAMR

The Alibaba case is one of China's most important platform competition cases.

Facts

SAMR investigated Alibaba's practice of requiring merchants to choose between Alibaba's platform and competing platforms.

In April 2021, SAMR imposed a fine of approximately RMB 18.228 billion.

Competition issue

The conduct was analyzed as an abuse involving exclusive dealing.

Ecosystem significance

Alibaba's platform functioned as an important marketplace ecosystem connecting:

• consumers;
• merchants;
• advertisers;
• logistics;
• payment services;
• data.

Restricting merchants from simultaneously participating in rival platforms could strengthen the incumbent ecosystem.

Principle

A dominant digital platform cannot necessarily use contractual control over ecosystem participants to prevent them from supporting competing ecosystems.

13. Apple App Store

Apple's App Store provides a major example of technological ecosystem control.

Unlike an ecosystem that relies primarily on contractual restrictions, Apple exercises substantial control through the architecture of its devices and software environment.

The European Commission has examined Apple's App Store practices under competition law and the DMA. The Commission's 2025 DMA decision concerning Apple addressed its anti-steering obligations, including developers' ability to communicate alternative purchasing opportunities outside the App Store.

Competition issue

The central concern is whether the ecosystem owner can control:

• distribution;
• payments;
• consumer discovery;
• developer access;
• commissions;
• alternative purchasing channels.

Ecosystem significance

Apple demonstrates that ecosystem control may be created through technical architecture, not merely contractual terms.

14. Microsoft / Activision Blizzard

The Microsoft–Activision Blizzard transaction provides an important modern merger example.

The European, UK and US authorities examined the transaction from somewhat different perspectives.

The ecosystem dimension was particularly important because Microsoft operated:

• Xbox;
• cloud-gaming services;
• Windows;
• Game Pass;
• gaming distribution infrastructure.

Activision controlled major gaming content.

Ecosystem theory

The concern can be expressed as:

Platform + distribution + cloud + content

Potentially produces stronger ecosystem integration.

The case demonstrates the importance of considering dynamic ecosystem effects rather than only traditional horizontal market shares. Recent academic analysis identifies the case as an important example of the tension between conventional market definition and ecosystem-level assessment.

15. Comparative Table of Case Laws

16. Ecosystem Control and Relevant Market Definition

One of the hardest legal questions is:

Should the law define individual product markets or analyze the entire ecosystem?

Traditional analysis may identify:

• operating-system market;
• app-store market;
• search market;
• advertising market;
• payment market.

But ecosystem competition may require examination of the relationship between them.

For example:

OS dominance

may reinforce

↓

App-store dominance

which reinforces

↓

Developer dependence

which generates

↓

More users and data

which reinforces

↓

Advertising/search power

Thus, examining each market independently can potentially understate the cumulative effect.

Recent EU-focused scholarship identifies the possibility of using multiple market delineation, aftermarket reasoning and system-market approaches when analyzing digital ecosystems.

17. Ecosystem Control and Market Power

Market power may derive from more than market share.

Relevant indicators include:

1. Network effects

More users increase ecosystem value.

2. Switching costs

Users face costs in moving to competing ecosystems.

3. Multi-homing

If users or businesses can easily use several ecosystems, dominance may be constrained.

4. Interoperability

Open interoperability can reduce ecosystem lock-in.

5. Data advantages

Large datasets may improve products and targeting.

6. Developer dependence

Developers may need access to the dominant platform.

7. Distribution control

The platform may control consumer access.

8. Economies of scope

The same infrastructure can support numerous related products.

18. Strategic Ecosystem Control Through Standards

Standards can also influence ecosystem evolution.

A dominant undertaking may influence:

• technical specifications;
• APIs;
• certification;
• interoperability protocols;
• security standards;
• payment standards.

Competition concerns may arise if technical standards are designed or implemented in ways that unnecessarily exclude rival technologies.

The distinction is important:

Legitimate standardization

→ compatibility and innovation

versus

Strategic standard control

→ exclusion of alternative technologies.

19. Strategic Ecosystem Control Through APIs

APIs can become competitive bottlenecks.

A dominant platform may decide:

• who receives API access;
• what functionality is available;
• what data can be accessed;
• whether rival services can interoperate.

A refusal or discriminatory restriction may become problematic where:

1. the platform is dominant;
2. the API is competitively significant;
3. rivals depend upon access;
4. denial materially forecloses competition; and
5. there is insufficient objective justification.

This connects ecosystem control with the broader essential-facility and refusal-to-deal doctrines.

20. Strategic Ecosystem Control Through Data

Data can produce cumulative advantages.

A simplified model is:

More users

↓

More data

↓

Better algorithm/product

↓

More users

↓

Still more data

This can generate a self-reinforcing ecosystem.

Competition authorities therefore increasingly consider:

• access to data;
• data portability;
• data combination;
• data interoperability;
• use of business-user data;
• privacy-related competitive effects.

However, possessing large quantities of data is not automatically an antitrust violation. The legal question is whether the particular conduct involving the data produces an exclusionary or otherwise prohibited competitive effect.

21. Dynamic Competition and Innovation

Traditional antitrust often asks:

What is the competitive effect today?

Ecosystem competition additionally asks:

What happens to competition tomorrow if this ecosystem continues developing along the same trajectory?

This introduces concepts such as:

• innovation competition;
• potential competition;
• nascent competition;
• technological trajectories;
• ecosystem entry;
• future substitutes.

This is particularly important where today's small complementor could become tomorrow's independent platform.

22. Defensive Foreclosure

A particularly important concept is defensive foreclosure.

Suppose Platform A dominates an existing market.

Platform B is initially small but possesses technology that could eventually compete with A.

A may therefore attempt to:

• acquire B;
• restrict B's access to APIs;
• prevent B from obtaining distribution;
• disadvantage B in rankings;
• restrict interoperability;
• impose exclusivity on B's suppliers.

The objective may be to prevent the emergence of a future ecosystem capable of challenging A.

This differs from ordinary exploitation because the concern is fundamentally about preserving ecosystem dominance over time.

23. Open Versus Closed Ecosystems

Competition law does not automatically require every ecosystem to be completely open.

Open ecosystem

May allow:

• interoperability;
• third-party applications;
• multiple payment systems;
• data portability;
• multi-homing.

Closed ecosystem

May impose:

• proprietary standards;
• exclusive distribution;
• technical restrictions;
• integrated payment;
• limited interoperability.

A closed ecosystem is not inherently unlawful.

The legal question is whether closure is being used by a dominant undertaking in a manner that unreasonably forecloses competition or produces another prohibited competitive harm.

24. Objective Justifications

A company may argue that ecosystem restrictions are necessary for legitimate purposes such as:

• cybersecurity;
• privacy;
• system integrity;
• quality control;
• fraud prevention;
• consumer protection;
• technical compatibility.

Antitrust analysis therefore requires distinguishing between:

Legitimate ecosystem governance

and

Exclusionary ecosystem control.

The existence of a technical restriction alone does not establish an infringement.

25. Remedies

Where ecosystem control is found to violate competition law, possible remedies include:

Structural remedies

• divestiture;
• separation of business units.

Behavioral remedies

• prohibition of exclusivity;
• non-discrimination requirements;
• access obligations.

Interoperability remedies

• API access;
• data portability;
• interoperability requirements.

Ranking remedies

• non-discriminatory ranking;
• transparency obligations.

Merger remedies

• divestiture;
• licensing;
• access commitments;
• interoperability commitments.

Ex-ante regulation

The EU's DMA represents an important example of imposing predefined obligations on designated gatekeepers rather than relying exclusively on lengthy individual abuse-of-dominance proceedings.

26. A Legal Test for Strategic Ecosystem Evolution Control

A useful analytical framework is:

Step 1 — Identify the ecosystem

What interconnected products, services and participants exist?

Step 2 — Identify the ecosystem orchestrator

Who controls the central technological, contractual or commercial infrastructure?

Step 3 — Identify the bottleneck

Is control exercised through:

• OS;
• app store;
• API;
• data;
• payment;
• search;
• cloud;
• distribution;
• standard?

Step 4 — Establish market power

Consider:

• market share;
• entry barriers;
• network effects;
• switching costs;
• data;
• multi-homing;
• interoperability.

Step 5 — Identify the conduct

Determine whether the undertaking uses:

• tying;
• bundling;
• exclusivity;
• self-preferencing;
• discriminatory access;
• refusal to deal;
• acquisition;
• technical restriction.

Step 6 — Examine ecosystem effects

Ask whether the conduct:

• excludes rivals;
• prevents multi-homing;
• increases switching costs;
• restricts interoperability;
• prevents new entry;
• eliminates potential competitors;
• reduces innovation.

Step 7 — Examine efficiencies and justifications

Consider:

• security;
• privacy;
• quality;
• technical efficiency;
• innovation;
• consumer benefits.

Step 8 — Determine the appropriate remedy

The remedy should address the specific mechanism by which ecosystem competition has been restricted.

27. Distinction Between Ordinary Dominance and Ecosystem Dominance

28. Key Doctrinal Principles

The major principles emerging from the case law are:

1. Dominance at one technological layer can affect competition at adjacent layers.
2. Network effects can make ecosystem power self-reinforcing.
3. Contractual restrictions can prevent complementors from supporting rival ecosystems.
4. Technical architecture can itself become a source of market power.
5. Self-preferencing can exploit control over an important digital gateway.
6. Acquisitions can affect future ecosystem competition even where current horizontal overlap is limited.
7. Interoperability and multi-homing can materially constrain ecosystem power.
8. Innovation and potential competition can be relevant to dynamic ecosystem analysis.
9. Closed ecosystems are not inherently unlawful; the competitive effects of closure matter.
10. The appropriate antitrust analysis may require looking beyond isolated product markets to interconnected competitive constraints.

29. Conclusion

Strategic ecosystem evolution control represents an important development in modern antitrust analysis. Its central concern is not merely whether a dominant undertaking exploits its current market position, but whether it can use control over technological, contractual, data or distributional bottlenecks to shape the future competitive structure of an entire ecosystem.

The Google Android, Google Shopping, Microsoft, Meta, Apple, Alibaba and Microsoft–Activision matters demonstrate different mechanisms through which ecosystem power can operate. They collectively illustrate the movement from a narrow “market-by-market” analysis toward a more dynamic examination of:

network effects + switching costs + interoperability + data + distribution + complementor dependence + potential competition + innovation.

The fundamental legal question remains whether the undertaking's conduct constitutes a legally cognizable restriction of competition under the applicable jurisdiction's antitrust framework. But ecosystem analysis provides the economic and technological context necessary to understand how present conduct can determine who is capable of competing in the future.