Competition Law and Future-Oriented Antitrust Theories for Ecosystem Economies

Introduction

Ecosystem economies are economic environments in which competition no longer occurs only between individual firms selling individual products. Instead, firms compete through interconnected platforms, complementary services, data resources, software interfaces, distribution channels, payment systems, devices, cloud infrastructure, algorithms, and user communities.

Traditional competition law generally asks whether a firm has market power in a defined relevant market and whether particular conduct harms competition. Ecosystem competition requires a broader inquiry: how control over one layer of an ecosystem can affect competition across several interconnected layers.

Future-oriented antitrust theories therefore examine issues such as:

• ecosystem dominance;
• platform envelopment;
• interoperability;
• data advantages;
• self-preferencing;
• ecosystem foreclosure;
• switching and multi-homing;
• interoperability degradation;
• tying and bundling;
• access to essential ecosystem infrastructure;
• algorithmic coordination;
• killer acquisitions and ecosystem acquisitions;
• complementor dependency;
• ecosystem resilience and contestability; and
• innovation competition.

I. Meaning of Ecosystem Economies

An ecosystem economy consists of multiple interconnected products and services that generate value collectively.

A simplified ecosystem may look like:

Operating System → App Store → Applications → Payments → Advertising → Cloud → Data → AI Services → Devices

Another example is:

E-commerce Platform → Marketplace → Sellers → Logistics → Payments → Advertising → Consumer Data

The important feature is interdependence.

A firm may possess relatively modest market power in one individual product market but substantial strategic power because it controls several connected layers.

Example

Suppose a technology company controls:

1. a mobile operating system;
2. an app store;
3. a payment system;
4. an advertising network; and
5. a cloud service.

The competitive concern may not arise from any single service alone. The concern may arise because control of the operating system enables the firm to influence access to the app store, payment infrastructure, advertising data and cloud services.

Thus, future antitrust analysis increasingly needs to consider ecosystem-level power.

II. Traditional Market-Centred Antitrust Versus Ecosystem Antitrust

The future-oriented approach does not necessarily abandon relevant-market analysis. Rather, it supplements it with an understanding of interdependence.

III. Core Future-Oriented Antitrust Theories

1. Ecosystem Power Theory

The first theory treats an ecosystem as a source of market power distinct from the power associated with any individual product.

Ecosystem power can arise from:

• network effects;
• user lock-in;
• data accumulation;
• interoperability;
• complementary products;
• default settings;
• cross-subsidisation;
• switching costs;
• vertical integration; and
• control over technical standards.

Competition concern

A dominant ecosystem may make entry difficult even where individual products remain technically contestable.

A competitor may therefore face the problem:

It can compete with one component, but cannot effectively compete with the ecosystem as a whole.

This is particularly important for digital markets.

IV. Platform Envelopment Theory

Platform envelopment occurs when a firm uses an existing platform's user base, infrastructure or complementary products to enter an adjacent market.

For example:

Platform A → Users → Data → Adjacent Service → Platform A's entry

The entrant does not necessarily compete on the same basis as an independent firm.

Its existing ecosystem can provide:

• distribution;
• customer information;
• infrastructure;
• authentication;
• payments;
• advertising;
• defaults; and
• cross-product integration.

Antitrust significance

The relevant question becomes whether the ecosystem allows the incumbent to extend power from one market into another.

Potential theories include:

• tying;
• bundling;
• leveraging;
• refusal to interoperate;
• discriminatory access;
• self-preferencing;
• exclusive dealing.

V. Ecosystem Foreclosure Theory

Traditional foreclosure theory generally asks whether conduct excludes competitors from a particular market.

Ecosystem foreclosure is broader.

A company may foreclose a rival by denying access to a strategically important component of an ecosystem.

Example

A platform might permit competitors to access its operating system but:

• limit API functionality;
• degrade interoperability;
• restrict payment access;
• disadvantage competing applications;
• manipulate rankings; or
• restrict access to essential data.

The rival technically remains in the market but becomes commercially less viable.

This creates a distinction between:

formal access and effective access.

VI. Interoperability as a Competition Principle

Interoperability may become one of the central concepts of future ecosystem antitrust.

Interoperability allows different systems to communicate and function together.

Examples include:

• messaging interoperability;
• payment interoperability;
• data portability;
• cloud interoperability;
• API access;
• operating-system compatibility;
• smart-device interoperability.

A dominant ecosystem can potentially weaken competition by making interoperability difficult.

Possible antitrust remedy

Competition authorities may require:

• API access;
• technical interoperability;
• data portability;
• non-discriminatory access;
• compatibility standards;
• interface transparency.

However, mandatory interoperability must be balanced against:

• cybersecurity;
• intellectual property;
• privacy;
• technical integrity;
• investment incentives.

VII. Data-Based Ecosystem Power

Data can reinforce ecosystem dominance through a feedback loop:

More users → More data → Better service → More users → More data

This creates a potential data-network effect.

The competition concern is not simply possession of data.

It is whether access to data creates an enduring competitive advantage that competitors cannot reasonably reproduce.

Relevant questions

Antitrust authorities may examine:

1. What data does the ecosystem control?
2. Is the data commercially significant?
3. Can competitors obtain equivalent data?
4. Can users port their data?
5. Does data accumulation improve algorithms?
6. Does the firm combine data from different markets?
7. Does data access disadvantage competitors?

VIII. Self-Preferencing in Ecosystems

Self-preferencing occurs when an ecosystem operator gives preferential treatment to its own products or services.

Examples include:

• ranking its own products first;
• giving its own payment service preferential access;
• privileging its own applications;
• giving its own logistics service better visibility;
• favouring its own advertising products.

The competitive concern becomes particularly strong where the platform acts simultaneously as:

infrastructure provider + marketplace operator + competitor.

This creates a potential conflict between the platform's role as a neutral infrastructure provider and its role as a market participant.

IX. Tying and Bundling in Ecosystem Economies

Traditional tying generally involves conditioning the supply of one product upon the purchase or use of another.

Ecosystems make tying more complex.

A firm might technically allow users to choose alternatives while creating strong incentives to use its own complementary product.

Examples:

• operating system + browser;
• operating system + payment service;
• device + app store;
• cloud platform + proprietary AI model;
• marketplace + logistics;
• search engine + browser.

Future antitrust analysis may therefore consider ecosystem-level tying, where the practical effect arises from the combined architecture of several products.

X. Switching Costs and Ecosystem Lock-In

Switching costs can be financial, technical or behavioural.

They may include:

• loss of accumulated data;
• loss of applications;
• loss of contacts;
• loss of transaction history;
• incompatible devices;
• contractual penalties;
• learning costs;
• loss of loyalty benefits;
• loss of ecosystem-specific services.

An ecosystem can therefore generate multi-layered lock-in.

A user may not switch because leaving one product means abandoning several interconnected services.

XI. Multi-Homing and Ecosystem Competition

Multi-homing occurs when users participate in several competing platforms.

For example, a seller may operate simultaneously on several marketplaces.

Multi-homing can constrain platform power.

But an ecosystem can discourage multi-homing through:

• exclusivity;
• technical restrictions;
• contractual restraints;
• loyalty incentives;
• higher switching costs;
• discriminatory interoperability.

Thus future antitrust analysis should ask not merely:

Can users technically use another platform?

but:

Can users economically and practically use several competing ecosystems?

XII. Complementor Dependency Theory

An ecosystem usually contains many complementors—developers, sellers, service providers, advertisers, logistics companies and other businesses.

The platform may initially create value for these firms.

But dependence can subsequently become a competition concern.

For example:

Platform → Seller dependence → Platform controls ranking → Seller cannot economically leave

The competition problem may arise when a platform uses its control over complementors to:

• impose discriminatory conditions;
• extract excessive fees;
• require exclusivity;
• access commercially sensitive information;
• favour vertically integrated services.

XIII. Killer Acquisitions and Ecosystem Expansion

Traditional merger analysis often focuses on existing competitive overlap.

Ecosystem economies require greater attention to potential competition.

A dominant ecosystem might acquire a small company because the target could eventually:

• develop a competing platform;
• become a technological substitute;
• attract developers;
• create a new distribution model;
• reduce ecosystem dependency.

Therefore, future-oriented merger control may examine:

What competitive constraint might this company have created if it had remained independent?

This is especially significant in technology markets where today's small firm may become tomorrow's ecosystem challenger.

XIV. Innovation Competition

Ecosystem competition often concerns innovation rather than price.

A dominant ecosystem may reduce innovation by:

• limiting interoperability;
• preventing complementary innovation;
• acquiring emerging challengers;
• restricting access to data;
• controlling developer access;
• imposing restrictive technical standards.

Therefore, antitrust authorities may consider:

• R&D incentives;
• innovation pipelines;
• technological trajectories;
• potential substitutes;
• future platform architectures.

XV. Algorithmic Ecosystem Coordination

Algorithms can coordinate conduct without conventional human communication.

In ecosystem markets, algorithms may control:

• prices;
• rankings;
• recommendations;
• advertising;
• inventory;
• access;
• search results;
• delivery allocation.

The future competition concern is whether algorithms facilitate:

• tacit coordination;
• personalised exclusion;
• discriminatory pricing;
• automated self-preferencing;
• coordinated pricing;
• market allocation.

The legal challenge is distinguishing legitimate algorithmic optimisation from conduct that produces anticompetitive coordination.

XVI. Six Major Case Laws

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

The Microsoft litigation is foundational for understanding ecosystem competition.

Microsoft's control over the Windows operating-system ecosystem was examined alongside its conduct concerning Internet Explorer and competing technologies.

The case demonstrated that competition analysis may need to consider:

• platform control;
• network effects;
• software distribution;
• technological integration;
• barriers to entry.

Importance for ecosystem economies

The case illustrates how dominance in a platform can influence competition in adjacent technological markets.

2. European Commission v. Google Shopping — Google Search (Shopping) (2024)

The European Union litigation concerning Google's comparison-shopping practices examined Google's treatment of its own comparison-shopping service within its general search results.

The case is highly relevant to self-preferencing.

Ecosystem significance

A platform that controls a major gateway to users may possess the ability to influence competitive visibility within adjacent markets.

The case therefore contributes to the theory that:

Control over an important digital gateway can affect competition among downstream services.

3. Google Android — European Commission (2018)

The European Commission's Android decision concerned Google's practices involving the Android mobile ecosystem.

Issues included:

• tying;
• search and browser distribution;
• licensing conditions;
• default placement;
• restrictions concerning competing mobile operating systems.

Ecosystem significance

Android illustrates how several individually connected contractual and technical arrangements can operate within a broader ecosystem strategy.

It is therefore particularly relevant to:

• ecosystem leveraging;
• tying;
• defaults;
• network effects;
• mobile-platform competition.

4. Google Android Auto — European Commission (2025)

The Google Android Auto matter concerned interoperability and access to a digital automotive platform.

The issue illustrates an increasingly important ecosystem problem:

When does control over an interface or platform become a competitive bottleneck for complementary services?

Future significance

As vehicles increasingly become software platforms, similar questions can arise regarding:

• connected vehicles;
• charging;
• navigation;
• digital payments;
• infotainment;
• autonomous-driving services.

The case therefore demonstrates the expanding relevance of interoperability-based competition theories.

5. Epic Games v. Apple (2021–2023)

The Epic Games litigation concerning Apple's App Store provided extensive analysis of:

• app distribution;
• payment systems;
• platform rules;
• developer access;
• commissions;
• alternative payment mechanisms;
• ecosystem control.

The litigation illustrates the competition issues arising when a company controls both:

1. the technological platform; and
2. the distribution channel for applications.

Ecosystem significance

The case is important for understanding platform governance and the relationship between an ecosystem operator and its complementors.

6. Qualcomm v. FTC (2020)

The Qualcomm litigation involved licensing practices relating to cellular-standard technology and modem chips.

The United States Court of Appeals for the Ninth Circuit rejected the FTC's theory of antitrust liability on the record presented.

Ecosystem significance

The case demonstrates the difficulty of transforming a technically powerful position into an antitrust violation.

It also illustrates the importance of distinguishing:

• technological dominance;
• contractual leverage;
• exclusionary conduct; and
• legitimate business practices.

XVII. Additional Important Authorities

Several other cases provide useful foundations for future ecosystem analysis.

Intel v. Commission

The EU Intel litigation concerns exclusionary rebates and the assessment of conduct by a dominant undertaking.

It is relevant to understanding how dominant firms may use commercial incentives to influence competitive access.

Bronner v. Mediaprint

The case established important principles concerning refusal to supply and access to indispensable facilities.

Its reasoning is relevant to future ecosystem-access disputes.

United Brands v. Commission

United Brands remains significant for understanding dominance and exclusionary conduct.

Its principles can be adapted to modern ecosystem settings involving access and dependency.

IMS Health

The IMS Health litigation is important for the relationship between intellectual property, interoperability and compulsory access.

It has particular relevance where a technical interface becomes indispensable to competition.

Amazon Marketplace investigations

European competition authorities' investigations into Amazon's marketplace practices have addressed issues involving the use of marketplace data and potential preferential treatment.

They illustrate the modern problem of a platform simultaneously functioning as:

market infrastructure + retailer + data intermediary.

XVIII. A Future Ecosystem Antitrust Framework

A comprehensive future framework can be structured into eight stages.

Stage 1 — Identify the ecosystem

Map:

• platform;
• users;
• complementors;
• infrastructure;
• data;
• distribution;
• payment systems;
• adjacent markets.

Stage 2 — Identify the bottleneck

Determine which component competitors cannot reasonably bypass.

Examples:

• operating system;
• app store;
• API;
• payment rail;
• cloud infrastructure;
• marketplace;
• data source.

Stage 3 — Measure ecosystem power

Consider:

• market share;
• network effects;
• switching costs;
• multi-homing;
• data advantages;
• developer dependence;
• interoperability;
• vertical integration.

Stage 4 — Examine conduct

Investigate:

• tying;
• bundling;
• self-preferencing;
• exclusivity;
• discriminatory access;
• refusal to interoperate;
• data exploitation;
• loyalty incentives.

Stage 5 — Assess foreclosure

Ask:

Does the conduct materially reduce the ability of actual or potential competitors to compete?

Stage 6 — Assess dynamic effects

Examine:

• innovation;
• entry;
• future technologies;
• potential competition;
• ecosystem evolution.

Stage 7 — Examine efficiencies

Possible efficiencies include:

• security;
• privacy;
• technical integration;
• reduced transaction costs;
• innovation;
• quality improvements.

Stage 8 — Select proportionate remedies

Possible remedies include:

• behavioural commitments;
• interoperability;
• data portability;
• non-discrimination;
• structural separation;
• access obligations;
• merger remedies.

XIX. Future Regulatory Challenges

1. Defining the Relevant Market

Ecosystems can blur traditional market boundaries.

A single platform can simultaneously operate across numerous markets.

2. Measuring Market Power

Market share alone may not capture ecosystem power.

Authorities may need to assess:

data + network effects + switching costs + interoperability + user dependency.

3. Avoiding False Positives

Not every successful ecosystem is anticompetitive.

Integration can generate legitimate benefits such as:

• better security;
• lower costs;
• improved functionality;
• greater innovation.

4. Preserving Innovation

Excessive intervention could discourage investment in ecosystem infrastructure.

5. Technological Complexity

Competition authorities increasingly need technical expertise concerning:

• APIs;
• AI;
• cloud computing;
• blockchain;
• operating systems;
• data architecture;
• algorithms.

XX. Future Remedies for Ecosystem Economies

1. Interoperability remedies

Require dominant platforms to permit effective technical interoperability.

2. Data portability

Allow users and businesses to move relevant data between competing ecosystems.

3. Non-discrimination obligations

Prevent platforms from arbitrarily discriminating between their own services and competitors.

4. Choice screens

Give users meaningful choices between competing services.

5. Structural separation

In particularly serious circumstances, separate infrastructure functions from competitive downstream activities.

6. Merger scrutiny

Examine acquisitions of nascent competitors and strategically important complementors.

7. Algorithmic auditing

Authorities may increasingly examine algorithms responsible for ranking, pricing and access.

XXI. Emerging Concept: Ecosystem Contestability

A particularly important future-oriented theory is ecosystem contestability.

The question is not simply whether competitors exist today.

Instead, regulators should ask:

Can a sufficiently capable competitor realistically challenge the ecosystem over time?

Contestability depends on:

• switching costs;
• interoperability;
• access to data;
• access to users;
• developer mobility;
• capital requirements;
• network effects;
• technological compatibility.

An ecosystem can therefore appear competitive while becoming progressively less contestable.

XXII. Ecosystem Resilience and Competition

Future antitrust analysis may also examine whether excessive concentration creates systemic dependency.

For example, if one company controls:

cloud + payments + identity + communications + AI + data infrastructure

then failure or exclusion at one layer could affect multiple downstream markets.

This introduces an emerging relationship between:

competition policy + infrastructure resilience + technological governance.

However, resilience objectives should remain analytically distinct from conventional antitrust objectives.

XXIII. Conceptual Model

The future ecosystem economy can be represented as:

Data
↓
Platform
↓
Users + Developers + Sellers
↓
Complementary Services
↓
Network Effects
↓
Switching Costs
↓
Ecosystem Expansion
↓
Greater Ecosystem Power
↓
Potential Foreclosure
↓
Reduced Contestability

Competition law intervenes where ecosystem power is converted into anticompetitive exclusion or exploitation, rather than merely because an ecosystem is large or successful.

XXIV. Key Principles for Future Ecosystem Antitrust

1. Market power may be ecosystem-based rather than product-based.
2. Interoperability can be an important competitive condition.
3. Data advantages can reinforce network effects.
4. Self-preferencing can be significant where the platform controls a competitive gateway.
5. Switching costs must be assessed across the entire ecosystem.
6. Complementor dependency can become a source of foreclosure.
7. Potential competition is particularly important in technology ecosystems.
8. Merger control must consider nascent competitors.
9. Innovation competition can be as important as price competition.
10. Algorithmic governance can create new forms of exclusion and coordination.
11. Remedies should preserve legitimate integration while restoring contestability.
12. Future antitrust should be dynamic without becoming speculative.

Conclusion

Future-oriented antitrust theory for ecosystem economies represents a shift from analysing isolated markets toward analysing interconnected systems of economic power.

The central question is increasingly not merely:

“Does the firm dominate a market?”

but:

“Does control over an ecosystem allow the firm to determine the conditions under which other businesses can participate, innovate and compete across connected markets?”

The most important future theories are therefore likely to involve ecosystem power, platform envelopment, ecosystem foreclosure, interoperability, data-network effects, self-preferencing, complementor dependency, ecosystem lock-in, potential competition and dynamic contestability.