Competition Law and Governance Structures of Dominant Ecosystems

1. Introduction

A dominant ecosystem is a network of interconnected products, services, platforms, technologies, data resources, users, developers, suppliers, and complementary businesses controlled or coordinated by one or more powerful undertakings.

Examples may include ecosystems built around:

operating systems;

app stores;

digital marketplaces;

search engines;

payment systems;

cloud infrastructure;

advertising technology;

social-media platforms;

e-commerce;

digital identity;

financial technology;

connected devices; and

artificial-intelligence infrastructure.

The competition-law problem is not simply whether one undertaking is dominant in a particular market. It is increasingly concerned with how the governance structure of an ecosystem allows that undertaking to exercise, extend, or entrench market power across interconnected markets.

A dominant ecosystem may therefore be represented as:

Core platform → infrastructure → data → users → complementary businesses → adjacent markets

The greater the interdependence among these layers, the greater the possibility that control at one level can influence competition at another.

2. Meaning of Ecosystem Governance

Ecosystem governance refers to the rules and mechanisms through which an ecosystem operator determines:

who can participate;

what products can be offered;

how users access the system;

what data participants receive;

what fees are charged;

which products receive visibility;

what technical standards apply;

what interoperability is permitted;

how disputes are resolved;

how algorithms operate; and

whether competitors can access essential infrastructure.

Governance can therefore become a source of market power.

For example, an app-store operator may govern:

admission of developers;

technical standards;

payment mechanisms;

commissions;

search rankings;

advertising;

access to user data.

The operator is consequently not merely a market participant. It may also function as a private rule-maker for the ecosystem.

3. Why Dominant Ecosystem Governance Matters to Competition Law

Traditional competition law generally examines:

agreements;

market power;

exclusion;

discrimination;

pricing;

mergers.

Ecosystem governance introduces an additional question:

Who controls the rules under which other competitors must operate?

A firm may use governance mechanisms to:

favour its own services;

disadvantage rivals;

impose discriminatory access conditions;

restrict interoperability;

exploit data obtained from ecosystem participants;

increase switching costs;

impose exclusivity;

control technical standards.

Thus, governance itself can become a mechanism for exercising market power.

4. Indian Competition-Law Framework

The principal Indian framework is the Competition Act, 2002.

Two provisions are especially important.

Section 3 — Anti-competitive agreements

Ecosystem governance arrangements can potentially raise Section 3 issues where agreements among ecosystem participants:

restrict competition;

impose exclusivity;

allocate markets;

restrict access;

facilitate collusion.

Section 4 — Abuse of dominant position

Section 4 becomes especially important where an ecosystem operator has a dominant position.

Potentially relevant conduct includes:

discriminatory conditions;

denial of market access;

tying;

leveraging;

unfair conditions;

predatory pricing;

preferential treatment of affiliated services.

The key point is:

Dominance itself is not prohibited; abuse of dominance is.

5. Ecosystem Power Versus Conventional Market Power

A conventional market-power analysis may examine a single relevant market.

An ecosystem analysis may need to examine multiple connected markets.

For example:

Operating system → App store → Payment system → Advertising → Cloud → Data

Control of the first layer may influence competition in the others.

This produces several forms of power.

Horizontal power

Power over competitors operating at the same level.

Vertical power

Power over suppliers or distributors.

Ecosystem power

Power derived from control over several interconnected layers.

Data power

Power arising from control over large and valuable datasets.

Infrastructure power

Power arising from control over infrastructure required for participation.

6. Network Effects

Dominant ecosystems frequently benefit from network effects.

More users can attract:

more developers;

more sellers;

more advertisers;

more suppliers.

More participants then attract more users.

This creates a feedback loop:

Users → Complementors → More services → More users

Network effects can produce substantial competitive advantages.

They may also create tipping risks, where competition shifts from several competing ecosystems toward one dominant ecosystem.

7. Switching Costs

Ecosystems can also create switching costs.

Users may accumulate:

data;

subscriptions;

purchased applications;

contacts;

loyalty benefits;

transaction histories;

digital assets.

Businesses may invest heavily in:

software integration;

APIs;

infrastructure;

advertising;

technical compatibility.

These investments can make leaving the ecosystem expensive.

Competition authorities may therefore consider whether ecosystem governance creates artificial or unnecessary switching costs.

8. Self-Preferencing

One of the most significant governance concerns is self-preferencing.

A platform may control the rules governing visibility while simultaneously competing with businesses subject to those rules.

For example:

Marketplace controls ranking algorithm → marketplace also sells products → algorithm gives preferential treatment to marketplace's own products.

Potential concerns include:

ranking advantages;

preferential search placement;

access to consumer data;

preferential technical integration;

lower commissions for affiliated businesses.

The competition-law assessment depends on market power, effects, justification, and the specific legal framework.

9. Tying and Bundling

Dominant ecosystems can also create tying concerns.

A company may condition access to one important service upon adoption of another service.

Examples might involve:

operating systems and applications;

payment systems and marketplaces;

search and browsers;

cloud services and software;

advertising and analytics.

The relevant competition questions include:

Are the products distinct?

Does the undertaking possess substantial market power?

Is access to one product conditioned on another?

Does the arrangement foreclose competitors?

Are there objective or efficiency justifications?

10. Interoperability

Interoperability is particularly important in ecosystem governance.

An ecosystem operator may control:

APIs;

technical standards;

authentication;

messaging protocols;

data portability;

device compatibility.

Restricting interoperability may make competing products less attractive.

For example:

Platform A refuses interoperability with Platform B.

The resulting effect could be:

increased switching costs;

reduced multi-homing;

reduced innovation;

reduced entry.

However, interoperability restrictions can also have legitimate purposes involving:

security;

privacy;

reliability;

intellectual property;

technical integrity.

Competition analysis must therefore distinguish legitimate technical restrictions from exclusionary restrictions.

11. Data Governance

Data is often the connective tissue of a dominant ecosystem.

An ecosystem operator may possess information concerning:

consumer preferences;

seller performance;

search behaviour;

transactions;

advertising;

device usage;

application activity.

This creates potential information asymmetry.

A platform may know substantially more about ecosystem participants than those participants know about the platform.

Competition concerns may arise where the operator:

combines data across markets;

denies equivalent access to rivals;

uses participant data to compete against participants;

selectively shares data;

restricts data portability.

12. Case Law

1. United States v. Microsoft Corp.

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

Microsoft possessed substantial power in PC operating systems and used various contractual and technical strategies involving the browser market.

The case demonstrated how a dominant firm's control over a platform can affect competition in adjacent markets.

Importance for ecosystem governance

The case illustrates:

leveraging of platform power;

restrictions imposed on distributors;

technical integration;

barriers to competing platforms;

strategic use of ecosystem control.

The broader lesson is that competition authorities may examine conduct beyond the firm's core product where control of the core platform affects competition in neighbouring markets.

13. European Commission v Google — Google Shopping

The Google Shopping proceedings concerned Google's treatment of comparison-shopping services within its search ecosystem.

Google operated both:

a general search service; and

a specialised comparison-shopping service.

The European Commission found that Google had favoured its own comparison-shopping service in search results.

The EU courts subsequently considered the legal and evidentiary issues surrounding that conduct.

Ecosystem significance

The case is important for understanding:

self-preferencing;

platform neutrality;

control of ranking mechanisms;

leveraging search power into adjacent markets.

It demonstrates how an ecosystem operator can simultaneously act as:

infrastructure provider + intermediary + competitor.

14. Google Android

The European Commission's Android proceedings examined Google's contractual arrangements concerning the Android ecosystem.

The case involved several practices concerning:

search;

mobile applications;

licensing;

device manufacturers;

application distribution.

Ecosystem significance

Android illustrates how control over an operating-system ecosystem can influence multiple connected markets.

The competition-law analysis can extend beyond the operating system itself to:

search;

app distribution;

mobile services;

device manufacturers.

It therefore provides an important model for analysing multi-layer ecosystem governance.

15. United States v. Apple — App Store and Smartphone Ecosystem

The U.S. litigation involving Apple has raised questions concerning Apple's control over the iPhone ecosystem and its restrictions on developers and competing services.

The broader competition issues include:

app distribution;

payment restrictions;

interoperability;

access to device functionality;

developer restrictions;

alternative distribution channels.

Ecosystem significance

The case illustrates the competition implications of an ecosystem operator controlling both:

a technologically important platform; and

the rules governing access to that platform.

This distinction is central to modern ecosystem regulation.

16. Epic Games v Apple

The Epic Games v Apple litigation involved Apple's App Store rules and Apple's commission/payment arrangements.

The dispute concerned, among other things:

alternative payment systems;

App Store restrictions;

developer access;

Apple's control over distribution.

Competition significance

The case demonstrates the difficulty of determining when platform governance rules constitute legitimate ecosystem management and when they may become competitively restrictive.

It also highlights the significance of:

platform fees;

payment restrictions;

distribution control;

developer dependence.

17. Qualcomm

The EU and U.S. Qualcomm litigation provides another important example of ecosystem-related competition concerns.

The disputes included questions concerning:

technology licensing;

chipset markets;

contractual arrangements;

exclusionary strategies.

Ecosystem significance

Technology ecosystems frequently involve firms controlling intellectual property and essential technological inputs.

A company may therefore possess influence at one layer while competing at another.

This creates potential risks involving:

foreclosure;

discriminatory licensing;

leveraging;

exclusion of rival technologies.

18. Amazon Marketplace

Competition authorities have examined Amazon's role as both:

marketplace operator; and

retailer/market participant.

This creates a structural conflict because the marketplace operator may obtain substantial information concerning third-party sellers.

Potential information includes:

sales volumes;

product demand;

prices;

inventory;

customer behaviour.

Ecosystem significance

The Amazon model illustrates the dual-role problem:

The platform establishes the rules while simultaneously participating in the market governed by those rules.

This is a central issue in dominant ecosystem governance.

19. Meta / Facebook Data and Platform Ecosystem

Competition authorities have also examined the relationship between platform dominance and data.

The Facebook ecosystem demonstrates how:

users;

advertisers;

data;

social networking;

complementary services

can reinforce one another.

The competition concern is not merely possession of data but whether control over data and platform access enables exclusionary conduct or reinforces market power.

20. Hub-and-Spoke Ecosystem Governance

A dominant ecosystem can function as a hub.

The participants become the spokes.

For example:

Platform

↓
Seller A
Seller B
Seller C
Seller D

If the platform collects information from each participant and then controls the commercial rules governing them, it may occupy a uniquely powerful position.

Potential concerns include:

information exchange;

coordinated conduct;

discriminatory treatment;

monitoring;

contractual restrictions.

21. Governance and Market Access

A dominant ecosystem may effectively decide who gets access to consumers.

It may determine:

eligibility;

verification;

ranking;

account suspension;

technical compatibility;

commission levels;

advertising access.

This can make the platform resemble a private gatekeeper.

Competition law may therefore need to distinguish between:

Legitimate gatekeeping

Rules necessary for:

safety;

quality;

security;

consumer protection.

Exclusionary gatekeeping

Rules primarily designed or having the effect of:

excluding competitors;

protecting the platform's own services;

increasing switching costs;

preventing entry.

22. Ecosystem Governance and Refusal to Deal

A dominant platform may refuse:

API access;

technical interoperability;

marketplace access;

data access;

authentication;

payment integration.

This can raise refusal-to-deal or essential-facility-type issues depending on the jurisdiction and legal framework.

However, forced access is not automatically required merely because an infrastructure is commercially important.

Factors may include:

indispensability;

feasibility;

duplication possibilities;

competitive effects;

legitimate business justification.

23. Ecosystem Governance and Exclusivity

Dominant ecosystems may impose:

exclusive distribution;

exclusive payment systems;

exclusive advertising;

exclusive data arrangements;

minimum purchasing obligations.

Such arrangements can potentially restrict competitors' access to customers.

The legal analysis should consider:

duration;

market coverage;

market power;

foreclosure;

entry barriers;

efficiencies.

24. Ecosystem Governance and AI

AI introduces an additional layer.

A dominant ecosystem may control:

foundation models;

cloud infrastructure;

data;

APIs;

computing capacity;

distribution platforms.

This can create vertically integrated AI ecosystems.

For example:

Cloud → Compute → Foundation Model → API → Applications → Distribution

Control over several layers may permit a firm to influence downstream competition.

Potential concerns include:

discriminatory API access;

preferential treatment;

tying;

exclusive arrangements;

interoperability restrictions;

data advantages;

access to computing resources.

25. Governance of Algorithms

Dominant ecosystems increasingly use algorithms to determine:

ranking;

recommendations;

search results;

advertising;

prices;

access;

visibility.

Algorithmic governance creates two major competition questions.

First

Does the algorithm favour the ecosystem operator?

Second

Can competitors understand and effectively respond to the rules?

Opaque algorithms can potentially create asymmetric competitive conditions.

26. Transparency

Transparency can improve ecosystem governance, but unlimited transparency may itself create problems.

A platform may not be able to disclose every algorithmic detail because this could facilitate:

gaming;

fraud;

manipulation;

security attacks.

Competition-law governance therefore requires appropriate transparency, rather than necessarily complete disclosure of proprietary algorithms.

27. Fairness and Non-Discrimination

Dominant ecosystems can adopt neutral access rules.

For example:

All similarly situated businesses must satisfy the same technical and commercial requirements.

Non-discriminatory governance can reduce risks associated with:

self-preferencing;

selective exclusion;

discriminatory pricing;

preferential APIs;

unequal access.

However, different treatment is not necessarily unlawful merely because it is different.

The competitive significance of the distinction must be examined.

28. Structural Separation

In particularly concentrated ecosystems, structural separation may be considered.

For example:

Infrastructure provider

separate from

Downstream competitor

This could reduce conflicts of interest.

Potential advantages include:

reduced discriminatory incentives;

better neutrality;

protection of confidential information.

Potential disadvantages may include:

reduced efficiencies;

duplicated infrastructure;

higher costs;

reduced innovation.

Therefore, structural remedies require careful assessment.

29. Behavioural Remedies

Competition authorities may instead impose behavioural obligations.

Examples include:

non-discrimination;

data-use restrictions;

interoperability;

data portability;

access obligations;

transparent ranking criteria;

restrictions on tying;

separation of sensitive information.

Behavioural remedies are generally easier to implement than structural separation but can require continuous monitoring.

30. Ecosystem Governance Model

A competition-compliant governance structure can be conceptualised as follows:

Layer 1 — Access

Clear and objective participation criteria.

Layer 2 — Interoperability

Reasonable technical compatibility.

Layer 3 — Data

Rules preventing discriminatory or exclusionary data use.

Layer 4 — Algorithms

Auditable and competition-sensitive decision processes.

Layer 5 — Ranking

Neutral or objectively justified ranking criteria.

Layer 6 — Pricing

Non-discriminatory commercial conditions.

Layer 7 — Enforcement

Transparent suspension and dispute-resolution mechanisms.

Layer 8 — Oversight

Independent compliance monitoring.

31. Dominant Ecosystems and Merger Control

Governance concerns can also arise through acquisitions.

A dominant ecosystem may acquire:

emerging competitors;

complementary applications;

data-rich businesses;

potential future competitors;

innovative startups.

Even relatively small acquisitions can matter where the target has:

valuable data;

innovative technology;

network effects;

strategic importance.

Competition authorities may therefore examine whether an acquisition strengthens ecosystem control.

32. Killer Acquisitions

A dominant ecosystem might acquire a small firm before it becomes a meaningful competitor.

The acquired technology may subsequently be:

discontinued;

integrated into the ecosystem;

restricted;

prevented from competing.

This creates concerns about nascent competition.

The traditional turnover-based merger thresholds may sometimes fail to capture the competitive significance of such transactions, depending on the jurisdiction.

33. Consumer Welfare and Innovation

Dominant ecosystem governance can have both positive and negative effects.

Potential efficiencies

lower transaction costs;

better integration;

improved security;

faster innovation;

reduced fraud;

better user experience.

Potential competitive harms

exclusion;

higher entry barriers;

reduced innovation;

higher commissions;

reduced choice;

dependence on a single ecosystem.

Competition law must therefore distinguish between integration that creates efficiencies and integration that protects market power.

34. Key Competition Risks

35. Six Core Governance Principles

A competition-oriented ecosystem should ideally incorporate:

1. Neutrality

The operator should avoid unjustified discrimination between competing ecosystem participants.

2. Interoperability

Reasonable interoperability should be available where technically and commercially feasible.

3. Data separation

Sensitive competitor data should not automatically be used by the platform's competing businesses.

4. Algorithmic accountability

Important algorithmic decisions should be capable of meaningful review.

5. Transparent access rules

Participation requirements should be objectively justified.

6. Independent oversight

Significant ecosystem operators may benefit from internal competition-compliance mechanisms and external regulatory supervision.

36. Relationship Between Dominance and Governance

A crucial legal distinction is:

Dominant ecosystem ≠ unlawful ecosystem.

Competition law does not prohibit successful firms merely because they have:

many users;

strong network effects;

valuable data;

integrated services.

The legal concern arises when dominance is used abusively or maintained through exclusionary conduct.

Therefore, an ecosystem's size is only one part of the analysis.

37. Future Challenges

Future ecosystem governance will become increasingly complicated because platforms are evolving into interconnected infrastructures involving:

AI agents;

autonomous commerce;

cloud computing;

digital identity;

financial services;

robotics;

smart devices;

blockchain;

digital twins;

autonomous marketplaces.

A single undertaking could potentially control several stages of a transaction:

Identity → Search → Recommendation → Contract → Payment → Delivery → Data

This makes traditional market boundaries increasingly important but also increasingly difficult to analyse.

38. Conclusion

Governance structures of dominant ecosystems are becoming an important dimension of competition law because the entity controlling an ecosystem can influence not only its own products but also the competitive conditions faced by businesses operating within the ecosystem.

The major competition-law concerns include:

self-preferencing;

tying and bundling;

exclusive arrangements;

interoperability restrictions;

data exploitation;

discriminatory access;

algorithmic discrimination;

refusal to deal;

leveraging into adjacent markets;

acquisition of potential competitors; and

use of ecosystem governance to entrench market power.

The case law involving Microsoft, Google Shopping, Google Android, Apple/Epic Games, Qualcomm, and Amazon-related platform concerns illustrates the evolution from traditional single-market analysis toward examination of interconnected digital structures.

The central competition-law principle is that an ecosystem operator should not be permitted to use control over an essential digital environment to distort the competitive process in neighbouring markets. At the same time, legitimate integration, innovation, security, and efficiency should not be treated as inherently anti-competitive.

Accordingly, modern competition-law governance of dominant ecosystems increasingly requires attention to market power + infrastructure control + data + interoperability + algorithms + access rules + ecosystem incentives, rather than analysing any single component in isolation.