Competition Law and Strategic Foresight in Platform Market Power

1. Introduction

Platform market power refers to the ability of a digital platform to exercise substantial influence over users, business customers, data, prices, access conditions, ranking, interoperability, or adjacent markets. Unlike conventional market power, platform power is often generated not merely by market share but by network effects, data advantages, ecosystem integration, switching costs, interoperability control, algorithmic governance, and control over digital infrastructure.

Strategic foresight adds a forward-looking dimension to competition law. Instead of examining only whether present conduct has already harmed competition, regulators can examine how a platform's present conduct may alter the competitive structure of markets in the future.

This is particularly important where a platform can:

• acquire emerging competitors before they become significant;
• use data accumulated in one market to enter another;
• favour its own products or services;
• impose discriminatory access conditions;
• make users dependent through switching costs;
• control interoperability or APIs;
• combine platform, payment, advertising and cloud services;
• employ algorithms that influence market conditions; and
• extend dominance from one ecosystem layer into another.

2. Meaning of Platform Market Power

Platform market power can arise where an undertaking controls an important intermediation point between different groups of users.

Examples include:

• search engines connecting users and advertisers;
• app stores connecting developers and consumers;
• e-commerce marketplaces connecting sellers and consumers;
• payment platforms connecting merchants and customers;
• operating systems connecting applications and users;
• social-media platforms connecting users and advertisers;
• cloud platforms connecting businesses with computing infrastructure.

Platform power is therefore frequently multi-sided.

A platform may provide one side of the market with a service at zero monetary price while monetising another side through advertising, commissions, data or ancillary services.

Important sources of platform power

1. Direct network effects – more users make the platform more valuable.
2. Indirect network effects – growth on one side attracts participants on another side.
3. Data advantages – larger datasets can improve products and targeting.
4. Economies of scale – digital platforms can serve additional users at relatively low marginal cost.
5. Switching costs – users may lose data, reputation, contacts or accumulated history when switching.
6. Multi-homing costs – businesses may find it expensive to operate across competing platforms.
7. Interoperability control – the platform may determine whether competitors can technically interact with it.
8. Ecosystem effects – several products reinforce one another.
9. Algorithmic control – ranking and recommendation systems can determine commercial visibility.
10. Acquisition of potential competitors – established platforms may purchase firms that could challenge their position.

3. Strategic Foresight and Competition Law

Traditional competition law is substantially ex post:

conduct → competitive effects → investigation → remedy.

Strategic foresight introduces an additional perspective:

present conduct → structural trajectory → potential future market configuration → preventive intervention.

It does not mean that regulators should punish a firm merely because it is successful. Rather, it involves identifying credible mechanisms through which current conduct could entrench or extend market power.

Foresight questions

A competition authority examining a powerful platform can ask:

• Is the platform becoming an unavoidable trading partner?
• Are network effects increasing barriers to entry?
• Are switching costs increasing over time?
• Is data accumulation creating an increasingly difficult-to-replicate advantage?
• Is the platform controlling access to an emerging market?
• Are acquisitions removing future competitive constraints?
• Is interoperability being restricted?
• Are self-preferencing practices changing the competitive structure?
• Can dominance in one market be leveraged into adjacent markets?
• Could algorithmic systems make exclusionary conduct faster or less observable?

4. Platform Market Power Under Competition Law

Platform power may be addressed through several traditional competition-law doctrines.

A. Abuse of dominance

A dominant platform may potentially engage in:

• exclusionary conduct;
• discriminatory access;
• tying and bundling;
• refusal of access;
• exploitative or unfair terms;
• self-preferencing;
• margin-related conduct;
• loyalty-inducing arrangements.

B. Merger control

Strategic foresight is especially relevant to acquisitions of:

• nascent competitors;
• potential competitors;
• data-rich firms;
• complementary technologies;
• startups possessing strategically important intellectual property.

The central issue may not be the target's current market share, but its potential future competitive significance.

C. Essential facilities and interoperability

Where a platform controls an infrastructure that competitors cannot reasonably reproduce, questions can arise concerning:

• access;
• technical interoperability;
• APIs;
• data portability;
• authentication;
• payment interfaces;
• operating-system functionality.

D. Cartel and algorithmic coordination

Platforms may also facilitate coordination through:

• pricing algorithms;
• common software;
• information-sharing systems;
• automated repricing;
• marketplace rules.

5. Strategic Foresight Framework for Platform Market Power

A useful framework can be divided into six stages.

Stage 1 – Identify the platform's strategic position

Determine:

• relevant markets;
• market share;
• user numbers;
• transaction volumes;
• data resources;
• network effects;
• switching costs.

Stage 2 – Identify ecosystem dependencies

Examine whether the platform controls:

Infrastructure → Data → Interface → Users → Transactions → Advertising/Monetisation

The greater the number of layers controlled by one undertaking, the greater the possibility of ecosystem leverage.

Stage 3 – Identify competitive bottlenecks

Examples include:

• app distribution;
• search visibility;
• payment processing;
• cloud infrastructure;
• digital identity;
• advertising exchanges;
• marketplace access.

Stage 4 – Identify exclusionary mechanisms

Potential mechanisms include:

• self-preferencing;
• tying;
• discriminatory access;
• interoperability restrictions;
• exclusivity;
• predatory acquisition;
• data exploitation;
• ranking manipulation.

Stage 5 – Model future market effects

Regulators can consider:

• foreclosure;
• increased entry barriers;
• reduction in innovation;
• elimination of potential competitors;
• ecosystem dependency;
• reduced multi-homing;
• increased switching costs.

Stage 6 – Select proportionate remedies

Possible remedies include:

• behavioural commitments;
• interoperability obligations;
• data portability;
• access requirements;
• non-discrimination obligations;
• structural separation;
• merger prohibition or conditions;
• monitoring obligations.

6. Major Case Laws

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

The Microsoft litigation is a foundational case concerning technological platform power.

Microsoft possessed substantial power through the Windows operating-system platform. The case concerned Microsoft's conduct toward competing browsers and its relationships with computer manufacturers and software developers.

The court examined practices that could protect Microsoft's position against emerging competitive threats.

Strategic foresight significance

The case demonstrates that competition authorities may need to consider how control over an existing technological platform can be used to prevent the emergence of future competitors.

It also illustrates the importance of:

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

2. Google Search (Shopping) – European Commission (2017)

The European Commission found that Google had abused a dominant position by systematically giving prominent placement to its own comparison-shopping service while applying less favourable positioning to competing comparison-shopping services.

The case is significant because search engines function as gateways to economic activity.

Strategic foresight significance

Control over ranking can influence the future competitive structure of downstream markets.

A platform does not necessarily need to prohibit competitors outright. It may influence competition through:

• visibility;
• ranking;
• traffic allocation;
• recommendation;
• search placement.

This makes algorithmic neutrality and platform governance important components of strategic competition analysis.

3. Google Android – European Commission (2018)

The European Commission examined Google's conduct concerning Android, including restrictions involving manufacturers and mobile-app distribution.

The case concerned the relationship between:

Operating system → app distribution → search → mobile ecosystem.

Strategic foresight significance

Android illustrates how dominance can potentially be extended across interconnected ecosystem layers.

A regulator examining platform power must therefore ask not only:

"Is the undertaking dominant in market A?"

but also:

"Can control of market A influence competitive conditions in markets B, C and D?"

This is a central strategic-foresight principle.

4. Google AdSense – European Commission (2019)

The European Commission found that Google had abused a dominant position in online search advertising intermediation through contractual restrictions imposed on third-party websites.

The case involved an important intermediary position between advertisers and publishers.

Strategic foresight significance

An advertising platform can accumulate strategic importance because it controls:

• advertisers;
• publishers;
• advertising inventory;
• data;
• matching technology.

The case therefore demonstrates how intermediation power can create durable platform advantages.

5. Google Shopping – Google LLC v. European Commission / General Court (2021)

The General Court substantially upheld the Commission's finding concerning Google's treatment of comparison-shopping services, while modifying certain aspects of the Commission's reasoning concerning the theory of harm.

The litigation is particularly important for the development of European abuse-of-dominance analysis in digital markets.

Strategic foresight significance

The case illustrates that competition analysis may have to consider how a dominant gateway controls traffic flows to downstream competitors.

Traffic allocation can be economically equivalent to control over a critical commercial input where competitors depend heavily upon that traffic.

6. Apple App Store / Epic Games v. Apple (United States)

The Epic Games litigation concerned Apple's control over iOS app distribution and payment mechanisms.

The dispute raised questions concerning:

• app-store distribution;
• payment systems;
• commissions;
• restrictions on alternative payment mechanisms;
• platform governance;
• developer access.

Strategic foresight significance

App stores demonstrate the importance of digital bottlenecks.

Where a platform controls the operating system and the primary application-distribution channel, its rules can potentially affect the development of entire downstream markets.

The case therefore provides an important framework for examining:

platform access → developer dependence → payment control → ecosystem expansion.

7. Epic Games v. Google

The Epic Games litigation against Google similarly concerned Android app distribution, billing systems and Google's relationships with application developers and distributors.

The case is important because mobile ecosystems contain several interconnected competitive layers.

Strategic foresight significance

A platform can potentially exercise power through a combination of:

• technical architecture;
• contractual restrictions;
• payment systems;
• app distribution;
• developer incentives.

Consequently, platform market power should often be assessed as an ecosystem phenomenon, rather than through one isolated transaction.

7. Additional Relevant Authorities

Other important cases and enforcement matters include:

8. United States v. Google LLC – Search and Search Advertising

The U.S. litigation concerning Google's search distribution practices focuses on agreements and mechanisms through which Google allegedly maintained its position in general search.

Its strategic significance lies in examining how distribution arrangements can reinforce network effects and make entry increasingly difficult.

9. FTC v. Facebook, Inc. / Meta

The U.S. Federal Trade Commission's litigation concerning Facebook's acquisitions and conduct raises questions about platform acquisitions, potential competition and the long-term consequences of acquiring businesses that could develop into competitive constraints.

Its foresight relevance lies particularly in nascent and potential competition.

10. Qualcomm antitrust litigation

Qualcomm-related litigation and enforcement have examined licensing practices, bargaining power and competitive conditions in technology markets.

The broader lesson is that control over strategically important technological inputs can influence downstream competition.

8. Network Effects and Strategic Entrenchment

Network effects are among the most important sources of platform power.

Suppose:

More users → more sellers → more transactions → more data → better algorithms → more users.

This produces a positive feedback loop.

A successful platform can therefore experience:

Growth → data accumulation → improved service → additional growth → stronger entry barriers.

Strategic foresight asks whether the feedback loop could become sufficiently strong to make future competitive entry extremely difficult.

9. Data as a Source of Platform Power

Data may create competitive advantages through:

• personalisation;
• targeted advertising;
• fraud detection;
• recommendation systems;
• pricing;
• demand forecasting;
• product development.

However, data does not automatically constitute market power.

Competition analysis should consider:

1. uniqueness of the data;
2. scale;
3. quality;
4. timeliness;
5. replicability;
6. access to alternative datasets;
7. switching costs;
8. whether data generates a sustainable competitive advantage.

Strategic foresight becomes particularly relevant where data accumulation produces cumulative advantages.

10. Self-Preferencing

Self-preferencing occurs where a platform gives preferential treatment to its own products or services.

Examples may include:

• ranking its own products more prominently;
• giving its own sellers better visibility;
• prioritising its own payment service;
• promoting its own applications;
• using platform-generated data to improve competing downstream products.

The competition concern is not simply discrimination.

It is the possibility of a feedback mechanism:

Platform dominance → preferential treatment → competitor weakening → greater platform dominance.

That circular effect is highly relevant to strategic foresight.

11. Platform Acquisitions and Killer-Acquisition Concerns

Traditional merger analysis frequently examines current market shares.

Strategic foresight asks a different question:

Could the target become an important competitive constraint in the future?

A startup may have:

• low revenue;
• few current users;
• limited market share;

but possess:

• superior technology;
• valuable data;
• innovative business models;
• rapidly growing user engagement;
• potential to develop into a platform competitor.

Consequently, competition authorities increasingly examine potential competition and the strategic significance of acquisitions.

12. Interoperability as a Competition Remedy

Interoperability can reduce platform lock-in.

Possible measures include:

• API access;
• technical interoperability;
• data portability;
• messaging interoperability;
• payment interoperability;
• identity portability.

The objective is not necessarily to eliminate platform differentiation.

Instead, interoperability can reduce the ability of an incumbent platform to use technical incompatibility as an artificial barrier to entry.

13. Switching Costs and Multi-Homing

Platform competition is strongly affected by whether users can use multiple platforms.

Low switching costs

Users can easily move between platforms.

Competition is consequently more contestable.

High switching costs

Users may be reluctant to change because they would lose:

• data;
• contacts;
• reputation;
• reviews;
• transaction history;
• subscriptions;
• accumulated benefits.

Multi-homing

Users participate in several platforms simultaneously.

Strategic foresight therefore asks whether a platform's conduct gradually transforms:

multi-homing → single-homing → dependency.

This can substantially change future competitive conditions.

14. Algorithmic Platform Power

Algorithms can exercise market power through:

• search ranking;
• recommendations;
• pricing;
• advertising allocation;
• seller visibility;
• content distribution;
• personalised offers.

The strategic concern arises when algorithmic systems become sufficiently important that competitors cannot effectively reach users without the platform's approval.

Competition law may consequently need to examine algorithmic governance, not merely prices.

15. Ecosystem Leveraging

Platform market power increasingly operates across ecosystems.

For example:

Operating System
↓
App Store
↓
Payment System
↓
Advertising
↓
Cloud Services
↓
Consumer Data

Control over several layers can produce reinforcing advantages.

A competition authority therefore needs to examine whether conduct in one market changes competitive conditions elsewhere.

16. Strategic Foresight Indicators

A regulator could develop a platform-power monitoring matrix:

No single indicator should automatically establish an infringement. Their significance depends upon the relevant market, competitive conditions and evidence of actual or likely effects.

17. Strategic Foresight Model

A useful conceptual model is:

Current Platform Power
↓
Network Effects + Data + Switching Costs
↓
Increasing User/Business Dependency
↓
Control of Strategic Bottlenecks
↓
Potential Exclusion of Rivals
↓
Reduced Entry and Innovation
↓
Greater Future Platform Power

Competition law can intervene at different points in this cycle.

18. Challenges for Competition Authorities

A. Market definition

Traditional market boundaries can become unstable where platforms rapidly expand into adjacent services.

B. Zero-price services

Price-based analysis becomes less useful when users pay with:

• attention;
• data;
• engagement;
• behavioural information.

C. Rapid technological change

A market that appears competitive today may become concentrated quickly.

D. Difficult counterfactuals

It can be difficult to determine whether a startup would actually have become a significant competitor.

E. Data assessment

Authorities must distinguish valuable data from data that is readily replicable.

F. Algorithmic opacity

Authorities may have difficulty understanding how ranking and recommendation systems affect competition.

G. Global ecosystems

Platforms frequently operate across multiple jurisdictions, requiring international cooperation.

19. Remedies Through a Strategic-Foresight Lens

Potential remedies include:

Behavioural remedies

• non-discrimination;
• transparency;
• restrictions on self-preferencing;
• fair access;
• contractual limitations.

Technical remedies

• interoperability;
• API access;
• data portability;
• technical compatibility.

Structural remedies

In particularly serious circumstances, authorities may consider:

• divestiture;
• separation of business units;
• restrictions on cross-use of data;
• separation of infrastructure and downstream activities.

Merger remedies

Authorities may require:

• divestiture;
• licensing;
• access commitments;
• interoperability commitments;
• restrictions on data combination.

20. Six Core Case Laws — Exam Summary

21. Conclusion

Strategic foresight in platform competition law moves analysis beyond the question of whether a platform is dominant today. It asks how network effects, data accumulation, switching costs, interoperability restrictions, self-preferencing, algorithmic control, ecosystem integration and acquisitions of potential competitors may shape the competitive structure of tomorrow.

The central regulatory insight is:

Platform market power is often dynamic: today's competitive advantage can become tomorrow's structural bottleneck.

Accordingly, modern competition analysis increasingly requires both present-effect analysis and forward-looking assessment of market trajectories. The objective is not to penalise successful platforms merely for being large, but to identify conduct that may transform legitimate competitive advantages into durable exclusionary structures.

For examination purposes, the key proposition is that strategic foresight complements—not replaces—traditional competition law by helping authorities identify potential foreclosure, innovation loss, ecosystem dependency and barriers to future entry before those effects become irreversible.