Competition Law and Governance Competition Among Digital Ecosystems

1. Introduction

Governance competition among digital ecosystems refers to competition not merely between individual digital products or services, but between integrated technological ecosystems that establish their own rules, standards, access conditions, data practices, payment systems, app distribution mechanisms, identity systems, and commercial relationships.

Examples include ecosystems built around:

• mobile operating systems and app stores;
• search engines and advertising networks;
• e-commerce marketplaces;
• social-media platforms;
• cloud-computing ecosystems;
• digital payment networks;
• connected-device ecosystems;
• AI platforms and foundation-model ecosystems;
• gaming consoles and digital distribution systems.

The competition-law problem arises because an ecosystem operator may simultaneously be a platform, infrastructure provider, rule-maker, gatekeeper and competitor. Its governance decisions can therefore determine which rival businesses receive access, on what terms, and under which technical or commercial conditions.

Competition law consequently examines whether ecosystem governance produces exclusionary effects, unfair access conditions, self-preferencing, tying, interoperability restrictions, discriminatory treatment, excessive dependence or anticompetitive consolidation.

2. Meaning of Digital Ecosystem Governance

Traditional competition law generally considers competition between firms operating in a defined market.

Digital ecosystems are more complicated because several interconnected markets may operate simultaneously.

For example:

Operating system → app store → payment system → developer tools → advertising → cloud services → user data

Control over one layer may provide leverage over several adjacent layers.

Ecosystem governance therefore includes:

1. Access rules — who may enter the ecosystem.
2. Technical standards — APIs, interoperability and compatibility.
3. Ranking rules — how products and services are displayed.
4. Payment rules — mandatory payment systems or commissions.
5. Data rules — collection, portability and access to data.
6. Algorithmic rules — automated recommendations and rankings.
7. Identity rules — authentication and account requirements.
8. Security rules — certification and technical restrictions.
9. Contractual rules — exclusivity, parity and non-compete obligations.
10. Governance rules — mechanisms through which the ecosystem operator changes these conditions.

The central competition question is therefore:

When does legitimate ecosystem governance become an instrument for restricting competition?

3. Competition Law Framework

Several competition-law doctrines become particularly important.

A. Dominant Position

An ecosystem may acquire significant market power because of:

• network effects;
• large user bases;
• economies of scale;
• data advantages;
• switching costs;
• ecosystem integration;
• technical standards;
• brand effects;
• developer dependence.

Dominance itself is generally not unlawful. The competition concern arises when dominance is abused.

B. Self-Preferencing

An ecosystem operator may rank or promote its own products above competing products.

For example:

Platform operates a marketplace + sells its own products → platform algorithm gives preferential visibility to its own products.

Competition authorities may investigate whether such conduct:

• forecloses rivals;
• reduces consumer choice;
• disadvantages dependent businesses;
• raises rivals' costs;
• distorts competition on the merits.

4. Tying and Bundling

Digital ecosystems frequently combine several services.

Examples include:

• operating system + search engine;
• smartphone + app store;
• marketplace + payment service;
• cloud platform + software;
• browser + operating system;
• gaming console + payment infrastructure.

Tying becomes particularly significant where the ecosystem operator uses power in one market to obtain or preserve power in another.

5. Interoperability

Interoperability allows competing products to function with an established ecosystem.

An ecosystem operator may restrict interoperability through:

• API restrictions;
• technical incompatibility;
• access fees;
• certification requirements;
• refusal to provide essential technical information;
• discriminatory access;
• degraded functionality for rivals.

Competition law may therefore intersect with essential-facility principles, refusal-to-deal doctrines and abuse-of-dominance rules.

6. Network Effects

Digital ecosystems commonly benefit from two-sided or multi-sided network effects.

For example:

More users → more developers → more applications → more users.

This can create a feedback loop.

Once an ecosystem becomes sufficiently large, new competitors may find it difficult to attract:

• users;
• developers;
• advertisers;
• merchants;
• suppliers;
• complementary service providers.

Competition authorities therefore increasingly examine whether network effects have become a mechanism for market entrenchment.

7. Data as a Competitive Asset

Data can reinforce ecosystem power.

A dominant ecosystem may simultaneously collect:

• consumer data;
• search data;
• location data;
• transaction data;
• advertising data;
• behavioural data;
• device data.

The competitive concern may arise when the operator uses information obtained from dependent businesses to compete against them.

For example:

Marketplace receives detailed sales information from sellers → uses that information to identify successful products → launches competing private-label products.

This can raise concerns concerning data advantages, self-preferencing and exploitation of dependent businesses.

8. Important Case Laws

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

The Microsoft case is foundational for understanding ecosystem governance.

Microsoft possessed substantial power in the PC operating-system market and was accused of using that position to protect Internet Explorer and restrict competing technologies.

The case demonstrated that competition law may intervene where a dominant technological platform uses control over one layer of the ecosystem to disadvantage competing technologies.

Principle

A dominant technological platform cannot necessarily use contractual or technical restrictions to protect its position against emerging competitive threats.

Relevance to digital ecosystems

The case provides an early framework for analysing:

• platform control;
• technological foreclosure;
• interoperability;
• bundling;
• network effects;
• innovation competition.

2. Google Shopping — European Commission (2017)

The European Commission found Google had abused its dominant position in general search by giving preferential placement to its comparison-shopping service while placing competing comparison-shopping services at a disadvantage.

Principle

Self-preferencing by a dominant platform can constitute an abuse where it produces exclusionary effects.

Ecosystem significance

This case is particularly important because it illustrates the transformation of:

Search infrastructure → ranking mechanism → downstream competition

The platform was not merely participating in competition; its control over the ranking infrastructure affected the competitive conditions under which rivals operated.

3. Google Android — European Commission (2018)

The European Commission found Google had imposed several practices concerning Android, including requirements involving Google Search, Chrome and app distribution.

The case examined how control over the Android ecosystem could be used to reinforce Google's position in related markets.

Principle

Bundling and contractual restrictions imposed by a dominant ecosystem operator can restrict competition in adjacent digital markets.

Ecosystem significance

The case illustrates ecosystem leverage:

Operating system dominance → contractual restrictions → reinforcement of search and other services.

4. Apple App Store / Epic Games Litigation

The dispute between Epic Games and Apple examined Apple's control over iOS application distribution and payment mechanisms.

Epic challenged Apple's restrictions concerning alternative payment systems and app distribution.

The U.S. litigation did not result in a simple finding that Apple's entire App Store model violated antitrust law. However, the dispute highlighted important competition questions concerning:

• app-store governance;
• commissions;
• payment restrictions;
• alternative distribution;
• developer access;
• platform rules.

Principle

Digital ecosystem governance may become a competition issue where an ecosystem operator controls access to consumers and simultaneously competes with businesses dependent upon that infrastructure.

5. Epic Games v. Google

The Epic Games litigation against Google concerned Google Play's distribution and payment practices.

The case addressed allegations concerning:

• Google Play's billing system;
• restrictions on alternative payment systems;
• agreements affecting app distribution;
• competitive conditions for app developers.

The litigation demonstrates how app stores can function simultaneously as:

marketplace + payment infrastructure + technical gatekeeper + rule-maker.

Competition significance

The case illustrates the importance of examining multi-layered ecosystem control rather than considering an app store merely as an ordinary retail marketplace.

6. Google Search — United States v. Google LLC

The U.S. Department of Justice's search antitrust litigation concerned Google's position in general search and search advertising and alleged mechanisms through which Google maintained its position.

The litigation illustrates competition concerns surrounding:

• default arrangements;
• distribution agreements;
• network effects;
• scale;
• search data;
• barriers to entry.

Principle

Competition analysis in digital markets must consider how contractual distribution arrangements can reinforce network effects and make entry more difficult.

7. Meta Platforms / Facebook — U.S. FTC Litigation

The FTC's case concerning Facebook/Meta examined alleged exclusionary conduct and acquisitions in the social-networking ecosystem.

The litigation raised questions concerning:

• network effects;
• acquisitions of potential competitors;
• ecosystem expansion;
• interoperability;
• data;
• entry barriers.

Ecosystem significance

A digital ecosystem may become difficult to challenge when an incumbent can simultaneously:

1. acquire emerging competitors;
2. control access to users;
3. benefit from extensive data;
4. leverage network effects.

8. Intel — European Commission (2009)

Although Intel was not a digital ecosystem case in the modern platform sense, the decision remains important for understanding exclusionary strategies involving dominant firms.

The Commission addressed Intel's conditional rebates and relationships with computer manufacturers and distributors.

Principle

A dominant firm cannot use contractual or financial mechanisms in ways that foreclose equally efficient competitors.

Digital ecosystem relevance

The underlying reasoning can inform analysis of:

• platform incentives;
• preferential commercial terms;
• exclusivity;
• distribution arrangements;
• ecosystem-dependent businesses.

9. Comparative Case-Law Matrix

10. Governance Competition Versus Conventional Competition

Traditional competition:

Firm A ↔ Firm B

Digital ecosystem competition:

Ecosystem A ↔ Ecosystem B

But within each ecosystem:

Platform → developers → suppliers → advertisers → consumers

This creates nested competition.

A firm may therefore compete:

• against another ecosystem;
• against firms within its own ecosystem;
• through its ecosystem;
• by controlling access to its ecosystem.

This makes ecosystem governance a central competition-law issue.

11. Ecosystem Lock-In

Lock-in occurs when users or businesses face significant costs in moving from one ecosystem to another.

Sources include:

• loss of accumulated data;
• loss of applications;
• incompatible hardware;
• loss of social connections;
• retraining costs;
• account dependence;
• contractual restrictions;
• switching costs;
• reduced functionality outside the ecosystem.

High switching costs can reduce the competitive pressure normally generated by consumer mobility.

12. Interoperability as a Competition Remedy

Competition authorities may consider interoperability remedies where ecosystem power is strengthened by technical incompatibility.

Possible remedies include:

A. API access

Competitors receive access to necessary technical interfaces.

B. Data portability

Users can transfer relevant data to competing services.

C. Interoperability

Competing services can communicate with the dominant ecosystem.

D. Non-discrimination

The platform must apply technical or commercial conditions consistently.

E. Choice screens

Consumers receive meaningful choices instead of being automatically directed toward the platform's own services.

13. Digital Ecosystems and Merger Control

Ecosystem competition also raises difficult merger questions.

A dominant ecosystem may acquire:

• a small startup;
• a complementary service;
• a potential competitor;
• a data-rich business;
• an emerging AI company.

Traditional turnover thresholds may fail to capture acquisitions of valuable early-stage digital companies.

Competition authorities therefore increasingly examine:

• potential competition;
• innovation competition;
• data advantages;
• ecosystem expansion;
• nascent competitors;
• killer-acquisition theories.

14. Algorithmic Governance

Algorithms increasingly determine:

• ranking;
• pricing;
• recommendations;
• advertising;
• search results;
• product visibility;
• access to consumers.

This creates a new form of ecosystem governance:

Algorithmic governance

Competition concerns may arise if the ecosystem operator:

1. systematically disadvantages rivals;
2. manipulates rankings;
3. uses competitor information;
4. facilitates coordinated conduct;
5. discriminates against competing services;
6. uses algorithms to reinforce ecosystem dependence.

15. AI Ecosystems

AI is creating another ecosystem structure:

Chips → cloud → foundation models → APIs → applications → distribution → data

Competition concerns can arise if one company controls several layers.

For example:

Cloud provider → owns computing infrastructure → develops foundation model → controls API access → distributes competing applications.

Competition law may therefore need to examine vertical integration across the AI stack.

16. Digital Ecosystem Governance and Essential Facilities

The essential-facilities doctrine may become relevant where a dominant digital infrastructure is difficult or impractical for competitors to replicate.

Potentially relevant infrastructures could include:

• dominant app distribution systems;
• interoperability interfaces;
• technical standards;
• digital identity systems;
• payment infrastructure;
• critical data-access systems.

However, not every successful platform is an essential facility. Authorities generally need to examine the precise legal requirements applicable in the jurisdiction, including indispensability, replication possibilities and the effects of access refusal.

17. Competition Between Ecosystem Rules

A significant development is regulatory competition between ecosystems.

Different ecosystems may establish different:

• privacy standards;
• payment structures;
• developer requirements;
• interoperability policies;
• content rules;
• advertising systems.

This can create beneficial innovation, but ecosystem rules can also become exclusionary when a dominant firm designs them primarily to disadvantage competing services.

The competition-law challenge is therefore to distinguish:

legitimate product governance from strategic exclusion.

18. Consumer Welfare and Innovation

Digital ecosystem cases cannot be assessed solely by examining current prices.

Many digital services have:

zero monetary price

Competition authorities therefore consider additional parameters such as:

• quality;
• privacy;
• innovation;
• security;
• consumer choice;
• interoperability;
• service quality;
• advertising burden;
• data practices.

A platform may therefore cause competitive harm even when it does not increase the immediate monetary price paid by consumers.

19. Regulatory Responses

Modern competition governance may combine traditional antitrust enforcement with regulatory mechanisms.

Ex ante regulation

Rules are imposed before harmful conduct occurs.

Examples:

• interoperability obligations;
• non-discrimination;
• data portability;
• restrictions on self-preferencing;
• transparency obligations.

Ex post competition enforcement

Authorities investigate conduct after an alleged infringement.

Examples:

• abuse of dominance;
• anticompetitive agreements;
• tying;
• exclusionary conduct;
• anticompetitive mergers.

The two approaches can operate together.

20. Major Competition Concerns

The principal concerns associated with competition among digital ecosystems include:

1. Gatekeeper power

Control over access to users and business partners.

2. Self-preferencing

Giving ecosystem products preferential treatment.

3. Tying

Using dominance in one service to promote another.

4. Data leverage

Using accumulated ecosystem data to strengthen adjacent markets.

5. Interoperability restrictions

Preventing rival services from functioning effectively.

6. Excessive switching costs

Making ecosystem exit difficult.

7. Exclusivity

Restricting business partners from dealing with rivals.

8. Algorithmic discrimination

Using ranking or recommendation systems to disadvantage competitors.

9. Killer acquisitions

Acquiring emerging competitors before they mature.

10. Ecosystem-wide foreclosure

Using control of several connected layers to exclude competitors throughout the value chain.

21. Future Direction of Competition Law

Competition law is increasingly moving from a market-by-market approach toward an ecosystem-aware approach.

This does not mean abandoning traditional market definition or dominance analysis. Rather, authorities increasingly need to understand:

• how markets interact;
• how network effects operate;
• how data moves through the ecosystem;
• how technical architecture affects competition;
• how platform governance affects dependent businesses;
• how mergers alter future competitive trajectories.

The emerging question is therefore not simply:

“Does this firm dominate a market?”

but also:

“How does control over one digital layer affect competition throughout the wider ecosystem?”

22. Conclusion

Competition among digital ecosystems presents a fundamental challenge to conventional competition law because economic power increasingly comes from controlling interconnected technological infrastructures rather than merely selling a particular product.

The cases involving Microsoft, Google, Apple, Epic Games, Meta and Intel demonstrate different dimensions of the problem: technological foreclosure, self-preferencing, tying, payment restrictions, distribution arrangements, network effects, acquisitions and exclusionary commercial practices.

Effective competition governance therefore requires attention to interoperability, data access, algorithmic neutrality, platform governance, switching costs, network effects, potential competition and ecosystem-wide foreclosure, while preserving incentives for innovation and legitimate technological differentiation.

The central legal principle can be summarized as:

Digital ecosystems may govern their platforms, but where governance power is combined with substantial market power, competition law scrutinizes whether that governance is being used to preserve or extend market power by excluding rivals rather than competing on the merits.