Competition Law and Future Institutional Design for Ecosystem Oversight

1. Introduction

Traditional competition law was largely designed around individual markets, identifiable competitors, and discrete forms of conduct. Digital and technology-intensive economies increasingly operate through ecosystems: interconnected platforms, operating systems, app stores, payment systems, cloud infrastructure, advertising networks, data pools, AI models, marketplaces, logistics systems and complementary services.

An ecosystem may therefore generate competitive effects that cannot be understood by examining one product market in isolation. A platform can simultaneously act as:

• infrastructure provider;
• marketplace operator;
• competitor to businesses using its infrastructure;
• data intermediary;
• advertising intermediary;
• payment provider;
• identity provider; and
• rule-maker for an entire commercial ecosystem.

The European Union's Digital Markets Act (DMA) expressly recognises this structural dimension by regulating designated gatekeepers and their core platform services alongside ordinary competition law.

The future institutional question is consequently not merely "How should competition law prohibit anticompetitive conduct?", but:

How should competition authorities be institutionally designed to continuously monitor, understand and regulate complex economic ecosystems before competitive harm becomes irreversible?

2. Meaning of Ecosystem Oversight

Ecosystem oversight

Ecosystem oversight means the institutional capacity of competition authorities to monitor interconnected markets, platforms, technologies, data relationships and complementary services as a system rather than treating every competitive problem as an isolated bilateral dispute.

For example, an authority examining a mobile ecosystem may need to consider:

Operating System → App Store → App Distribution → Payments → Advertising → Data → Cloud → Search → Consumer Access

A restriction imposed at one level may affect competition at several other levels.

Traditional model

The traditional enforcement sequence is generally:

Complaint → Investigation → Relevant Market → Dominance/Agreement → Harm → Remedy

Future ecosystem model

A more appropriate architecture may become:

Continuous Monitoring → Ecosystem Mapping → Risk Detection → Investigation → Interim Intervention → Structural/Behavioural Remedy → Compliance Monitoring → Periodic Reassessment

This represents a movement from reactive antitrust towards continuous institutional supervision.

3. Why Ecosystem Oversight Requires New Institutional Design

A. Market boundaries become fluid

Digital ecosystems frequently involve products that are technically separate but economically interconnected.

For example:

• search may connect with advertising;
• operating systems with app stores;
• smartphones with payment systems;
• cloud computing with AI;
• marketplaces with logistics;
• social networks with advertising.

A competition authority therefore requires expertise capable of understanding cross-market leverage.

B. Network effects can rapidly strengthen market power

A platform may become more valuable as more users, developers, advertisers or sellers join it.

This creates:

More Users → More Data → Better Service → More Users → More Business Users → More Data

Institutional oversight must therefore identify feedback loops, not merely static market shares.

C. Data can become an ecosystem asset

Future competition authorities will increasingly need to analyse:

• data accumulation;
• data combination;
• data portability;
• access to platform-generated data;
• interoperability;
• data exclusivity;
• data-driven entry barriers; and
• algorithmic advantages.

The European Commission's DMA framework specifically addresses data access, portability and interoperability issues.

4. Six Major Case Laws

1. Google Search (Shopping) — Google Search (Shopping)

European Commission decision, 2017; General Court, 2021; Court of Justice, 2024

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

Institutional significance

The case demonstrated that competition problems can arise when an undertaking simultaneously operates:

1. a major infrastructure/platform;
2. an intermediary;
3. and a downstream competing service.

The institutional lesson is that authorities must examine vertical ecosystem relationships, not merely conventional horizontal competition.

The authority therefore needs:

• search-engine expertise;
• ranking-analysis capabilities;
• data scientists;
• platform-design specialists;
• economists; and
• technical investigators.

2. Google Android

European Commission, 2018; General Court, 2022

The Android case involved restrictions concerning Google's mobile ecosystem, including tying and contractual arrangements involving Google Search, Chrome and application distribution.

Institutional significance

Android illustrates ecosystem leverage.

Market power in one layer can potentially be transmitted into another:

Operating System → App Distribution → Search → Browser → Advertising

This suggests that future competition authorities should possess institutional structures capable of investigating multi-layer conduct.

A purely market-by-market organisational model may miss the competitive interaction between those layers.

3. Bundeskartellamt — Meta/Facebook

Bundeskartellamt, 2019

The German competition authority found that Meta's combination of user data from different sources raised competition concerns in the context of its dominant social-networking position.

Institutional significance

The case is important because it connected:

• competition;
• personal data;
• consumer choice;
• platform power; and
• data combination.

It demonstrated that competition authorities increasingly need institutional relationships with data-protection and consumer-protection authorities.

The future model should therefore permit coordinated examination of:

Competition + Data + Consumer Protection + Technology

rather than treating each regulatory field as completely isolated.

4. Bundeskartellamt — Alphabet/Google

German competition-law proceedings concerning Alphabet's cross-market position

The German approach to large digital ecosystems illustrates a move toward examining the overall economic significance of an ecosystem operator, rather than looking exclusively at one conventional relevant market.

The Bundeskartellamt's ecosystem analysis has specifically examined how major platforms establish rules governing businesses operating across different sides of their platforms.

Institutional significance

The case demonstrates the importance of:

• ecosystem mapping;
• cross-market information gathering;
• technical expertise;
• platform governance analysis; and
• continuous monitoring.

This approach is particularly relevant where a company controls several interconnected services.

5. Epic Games v Apple

United States, Ninth Circuit litigation

The dispute concerned Apple's App Store rules, payment mechanisms and restrictions affecting developers.

Institutional significance

The case illustrates the difficulty of regulating an ecosystem in which the platform owner simultaneously controls:

• operating-system access;
• application distribution;
• payment infrastructure;
• technical standards;
• developer rules;
• user access; and
• commissions.

The institutional question becomes whether competition authorities should analyse each restriction separately or understand the cumulative architecture of platform governance.

A future ecosystem authority would need to examine the interaction among all these mechanisms.

6. FTC v Qualcomm

United States Ninth Circuit

The Qualcomm litigation involved licensing practices concerning cellular technology and royalties.

Institutional significance

The case illustrates the importance of understanding technology standards, intellectual property, licensing structures and downstream competition simultaneously.

Modern ecosystems increasingly involve:

Standards → IP → Licensing → Devices → Software → Platforms → Consumers

Competition authorities therefore require personnel capable of understanding both legal and technological dependencies.

5. Additional Important Case Laws

7. Microsoft — Internet Explorer

The Microsoft proceedings in the European Union demonstrated how control over an important platform can be leveraged into an adjacent product.

Institutional lesson

Authorities must monitor default settings, tying, interoperability and distribution channels.

8. Amazon Marketplace

European and national competition investigations concerning Amazon have examined the relationship between Amazon's marketplace operations and the commercial interests of sellers using the platform.

Institutional lesson

The platform may simultaneously be:

Marketplace Operator + Rule Maker + Data Holder + Retail Competitor

That combination creates a distinctive ecosystem-governance problem.

9. Apple — App Store / DMA Proceedings

The EU's institutional architecture has increasingly moved beyond conventional ex-post antitrust litigation. Under the DMA, the Commission can impose obligations directly on designated gatekeepers and conduct market investigations where necessary.

In 2024, the Commission opened DMA proceedings involving Apple and Alphabet concerning, among other matters, app-store steering obligations.

Institutional lesson

Competition oversight is evolving toward ongoing compliance supervision, rather than waiting for a complete antitrust investigation and judicial judgment.

6. From Competition Authority to Ecosystem Authority

The future institution may contain several specialised divisions.

Proposed architecture

                COMPETITION AUTHORITY                         │        ┌────────────────┼────────────────┐        │                │                │ Market Analysis   Ecosystem Unit   Enforcement Unit        │                │                │ Economics        Platform Mapping   Abuse of Dominance        │                │                │ Data Science     Network Effects    Cartels        │                │                │        └───────────────┬┴───────────────┘                        │                Technology Directorate                        │          AI • Algorithms • Cloud • Data                        │                Regulatory Coordination                        │      Data • Telecom • Consumer • Finance

7. Core Institutional Components

A. Ecosystem Intelligence Unit

This unit would continuously map:

• ownership;
• acquisitions;
• APIs;
• data flows;
• interoperability;
• contractual restrictions;
• defaults;
• ranking systems;
• payment systems;
• switching costs; and
• network effects.

Its function would be early detection.

B. Algorithmic Audit Division

Authorities increasingly need technical ability to investigate:

• recommendation algorithms;
• ranking systems;
• pricing algorithms;
• advertising auctions;
• search algorithms;
• AI models;
• automated exclusion;
• personalised pricing; and
• algorithmic discrimination.

Competition authorities cannot effectively oversee algorithmic ecosystems if they depend entirely upon explanations supplied by the firms being investigated.

C. Data and Interoperability Division

This division could examine:

• data portability;
• API access;
• interoperability;
• data-sharing arrangements;
• data combination;
• technical switching barriers;
• identity portability; and
• interoperability standards.

The DMA already incorporates interoperability and data-related obligations, illustrating the direction of institutional development.

D. Merger and Ecosystem Strategy Unit

Traditional merger review may not adequately capture acquisitions of:

• start-ups;
• AI companies;
• data businesses;
• developer tools;
• cloud services;
• emerging technologies.

A future authority should monitor ecosystem acquisitions, including transactions that may appear small but eliminate potential future competitors.

8. Continuous Monitoring Instead of Only Ex-Post Enforcement

A future authority could adopt an Ecosystem Risk Register.

This would permit authorities to intervene before competitive conditions deteriorate substantially.

9. Regulatory Sandboxes

Competition authorities could establish controlled regulatory sandboxes for:

• AI markets;
• autonomous commerce;
• digital finance;
• cloud services;
• blockchain;
• smart infrastructure;
• digital health;
• energy platforms.

The objective would be to observe emerging market structures without immediately imposing rigid regulatory assumptions.

10. Cooperation Between Regulators

Ecosystem oversight requires institutional coordination.

A possible structure is:

Competition Authority

↕

Data Protection Authority

↕

Telecommunications Authority

↕

Consumer Protection Authority

↕

Financial Regulator

↕

AI/Digital Technology Regulator

The EU's DMA High-Level Group provides an institutional example: it brings together representatives from competition, electronic communications, data-protection, consumer-protection and media-related bodies to promote complementary enforcement.

11. Institutional Independence

Ecosystem authorities must remain independent from:

• dominant firms;
• governments;
• industry lobbying;
• regulated platforms;
• political pressure;
• technological vendors.

At the same time, independence should be accompanied by procedural accountability.

This requires:

• reasoned decisions;
• transparent methodologies;
• judicial review;
• rights of defence;
• confidentiality safeguards;
• published enforcement priorities; and
• periodic institutional audits.

12. Expert Staffing

Future competition authorities require multidisciplinary teams.

Legal

• competition lawyers;
• administrative lawyers;
• IP lawyers;
• privacy lawyers;
• sector specialists.

Economic

• industrial organisation economists;
• econometricians;
• behavioural economists;
• merger economists.

Technical

• AI engineers;
• data scientists;
• cybersecurity specialists;
• algorithm auditors;
• cloud architects;
• software engineers.

Sectoral

• telecommunications experts;
• financial-market experts;
• energy specialists;
• healthcare specialists.

This changes the traditional concept of a competition authority from a predominantly legal-economic institution into a legal-economic-technological institution.

13. Dynamic Remedies

Traditional remedies can become obsolete quickly in technology markets.

Future ecosystem remedies may include:

Behavioural

• non-discrimination;
• anti-self-preferencing;
• transparent ranking;
• fair access.

Technical

• interoperability;
• API access;
• data portability;
• choice screens.

Structural

• separation of business units;
• divestiture;
• restrictions on acquisitions.

Governance

• independent compliance monitors;
• algorithmic audits;
• periodic reporting;
• third-party verification.

The DMA expressly permits additional remedies for systematic infringements, including behavioural and, as a last resort, structural remedies.

14. Periodic Reassessment

Ecosystem power is dynamic.

Therefore:

Designation → Monitoring → Review → Modification → Reassessment

should replace:

Investigation → Decision → Closure

as the dominant institutional model for the largest ecosystems.

The DMA itself provides for periodic review and reassessment of its effectiveness, including the scope of covered services, obligations and enforcement mechanisms.

15. Institutional Design for AI Ecosystems

AI makes ecosystem oversight even more complicated because control can exist at multiple layers:

Semiconductors      ↓ Cloud Infrastructure      ↓ Foundation Models      ↓ Model APIs      ↓ AI Applications      ↓ Distribution Platforms      ↓ Consumers / Businesses

A competition authority should therefore examine vertical dependencies across the AI stack.

Important questions include:

1. Can competing AI developers obtain computing capacity?
2. Can cloud providers discriminate against rival models?
3. Can platforms preference their own AI applications?
4. Can dominant models restrict interoperability?
5. Can exclusive data arrangements prevent entry?
6. Can acquisitions eliminate potential competitors?

The EU's 2026 DMA review identifies cloud and AI as important emerging areas for digital competition oversight.

16. Institutional Design for Autonomous Markets

Future autonomous commerce may involve algorithms negotiating directly with other algorithms.

For example:

AI Buyer → AI Negotiator → AI Marketplace → AI Seller → AI Logistics System

The authority must then investigate:

• algorithmic coordination;
• autonomous pricing;
• discriminatory access;
• automated exclusion;
• machine-to-machine agreements;
• common optimisation systems.

This may require real-time computational monitoring, rather than traditional document-based investigations alone.

17. The Principle of Proportionality

Greater institutional power should not mean unlimited regulatory discretion.

Ecosystem oversight should remain governed by:

• legality;
• necessity;
• proportionality;
• procedural fairness;
• transparency;
• evidence-based decision-making;
• judicial review.

The institutional objective should be effective competition oversight without converting competition authorities into general economic regulators.

18. Future Model: The Ecosystem Competition Authority

A mature institutional model could therefore have five layers:

Layer 1 — Market Intelligence

Continuous collection of:

• market data;
• transaction data;
• platform data;
• technical information.

Layer 2 — Ecosystem Mapping

Identification of:

• dependencies;
• bottlenecks;
• network effects;
• gatekeepers;
• cross-market leverage.

Layer 3 — Risk Assessment

Identification of:

• foreclosure;
• self-preferencing;
• exclusion;
• coordination;
• excessive switching costs.

Layer 4 — Enforcement

Deployment of:

• investigations;
• interim measures;
• behavioural remedies;
• interoperability obligations;
• structural remedies.

Layer 5 — Continuous Compliance

Monitoring whether remedies actually restore:

• contestability;
• innovation;
• interoperability;
• consumer choice.

19. Key Legal Principles Emerging From the Case Law

The cases collectively demonstrate several institutional principles:

20. Conclusion

Future institutional design for ecosystem oversight represents a shift from traditional antitrust enforcement toward continuous, multidisciplinary and technology-aware competition governance.

The central institutional transformation is:

From market-by-market enforcement → ecosystem-wide oversight.

The most important lessons from Google Shopping, Google Android, Meta/Facebook, Alphabet/Google, Epic Games v Apple, and FTC v Qualcomm, together with the emerging DMA framework, are that competition authorities increasingly need to understand platform architecture, data, algorithms, interoperability, network effects, vertical dependencies and ecosystem governance simultaneously.

The future competition authority is therefore likely to require three capabilities above all:

1. Ecosystem intelligence — understanding how markets and platforms interact;
2. Technological capacity — independently analysing algorithms, data and infrastructure; and
3. Continuous institutional oversight — monitoring powerful ecosystems before and after enforcement.

The EU's DMA provides an important contemporary institutional model: it combines gatekeeper designation, ex-ante obligations, market investigations, cross-regulatory coordination and continuing compliance supervision. The Commission's High-Level Group specifically seeks coherence between competition, communications, data-protection, consumer-protection and media regulation.