Competition Law and Preferential Treatment in Digital Ecosystems

Introduction

Preferential treatment in digital ecosystems occurs when a digital platform gives its own products, services, affiliated businesses, or selected partners an advantage over competing third parties that depend upon the same platform. The preference may concern search rankings, access to data, visibility, commissions, interoperability, default placement, advertising opportunities, payment systems, app distribution, or access to essential platform functionality.

Competition law becomes particularly important where the platform possesses substantial market power. A platform may simultaneously operate as:

1. an intermediary connecting buyers and sellers;
2. a competitor to businesses using that intermediary; and
3. a rule-maker or gatekeeper determining how competitors receive access.

This creates a potential vertical conflict of interest: the platform can control the competitive conditions under which its own rivals operate.

Preferential treatment is not automatically unlawful. Competition authorities generally examine market power, the nature and effects of the preference, foreclosure of competitors, consumer harm, efficiencies, objective justification, and whether less restrictive alternatives exist.

1. Meaning of Preferential Treatment

Preferential treatment can take several forms.

A. Self-preferencing

A platform ranks or displays its own service more prominently than competing services.

Example: A search engine gives its comparison-shopping service prominent placement while demoting rival comparison services.

B. Preferential access to data

The platform gives its affiliated business access to commercially valuable data that independent competitors cannot obtain on equivalent terms.

C. Preferential algorithmic treatment

Algorithms may systematically favour the platform's own products in rankings, recommendations, search results, or product displays.

D. Preferential technical access

The platform may provide its own services with better APIs, interoperability, functionality, latency, or access to operating-system features.

E. Preferential commercial treatment

Examples include:

• lower commissions;
• better payment terms;
• exclusive promotional opportunities;
• favourable advertising placement;
• preferential fulfilment;
• access to customer information.

F. Default positioning

A platform can make its own service the default or pre-installed option, potentially making switching more difficult.

2. Why Digital Ecosystems Create Special Competition Concerns

Traditional competition law often assumes that competitors operate relatively independently.

Digital ecosystems are different because one undertaking may control several interconnected layers:

Operating System → App Store → Payment System → Data → Advertising → Search → Consumer Interface

A dominant undertaking operating across these layers can potentially use power in one market to strengthen its position in another.

Important characteristics include:

Network effects

The value of a platform may increase as more users and suppliers join it.

Data advantages

Large quantities of transaction, behavioural and search data can improve algorithms and products.

Switching costs

Consumers may find it costly or inconvenient to move between ecosystems.

Multi-sided markets

A platform may simultaneously serve consumers, advertisers, merchants, developers and service providers.

Ecosystem leverage

Market power at one layer may be used to influence competition at another.

3. Relevant Competition-Law Theories

Preferential treatment can potentially fall under several theories.

A. Abuse of Dominant Position

The principal question is whether the undertaking possesses dominance and uses that position in a manner capable of harming competition.

Under European-style systems, Article 102 TFEU is particularly important.

In India, the corresponding framework is primarily Section 4 of the Competition Act, 2002, concerning abuse of dominant position.

Potentially relevant forms include:

• discriminatory conditions;
• discriminatory prices;
• denial of market access;
• leveraging dominance;
• tying or bundling;
• exclusionary conduct.

B. Leveraging

A dominant platform may use power in one market to strengthen its position in another.

For example:

Dominant search engine → preferentially promotes own shopping service → rival shopping services receive less traffic.

The issue is not simply that the platform competes with rivals. The competition concern arises from the possibility that control over an indispensable or highly important intermediary is used to distort downstream competition.

4. Self-Preferencing as a Competition Concern

Self-preferencing can be represented as:

Platform control → Ranking/access advantage → Increased visibility → Increased transactions → More data → Stronger platform position

This can create a feedback loop.

However, authorities generally need to distinguish between:

• legitimate product integration;
• improvements in user experience; and
• exclusionary self-preferencing.

A platform's own product appearing first is not, by itself, proof of an infringement.

Relevant questions include:

1. Is the platform dominant?
2. Does the platform compete with the firms it controls or ranks?
3. What mechanism creates the preference?
4. Does the preference materially disadvantage competitors?
5. Can consumers realistically switch?
6. Are rivals dependent upon the platform?
7. Is there objective justification?
8. Are there measurable efficiencies?
9. Could the same efficiency be achieved through a less exclusionary mechanism?

5. Major Case Laws

1. Google Search (Shopping) — European Commission

Case: Google Search (Shopping), Commission Decision of 27 June 2017.

This is the leading modern case concerning self-preferencing.

The European Commission found that Google had abused its dominant position in general search by systematically giving prominent placement to its own comparison-shopping service while applying generic search-ranking mechanisms to rival comparison-shopping services.

The Commission's theory was essentially:

General search dominance → preferential positioning of own shopping service → reduced visibility of rivals → potential foreclosure.

The case established the importance of examining ranking and visibility discrimination within a digital platform.

Legal significance

The case is important because the competition concern did not depend on Google refusing access altogether. Instead, the issue concerned how access and visibility were structured.

General principle

A dominant platform can potentially infringe competition law through the conditions under which competitors are displayed, rather than through an outright refusal to supply.

2. Google Android — European Commission

Case: Google Android, Commission Decision of 18 July 2018.

The European Commission examined Google's conduct concerning the Android mobile operating-system ecosystem.

The decision concerned several practices, including agreements requiring manufacturers to pre-install Google's search and browser products and arrangements involving app-store access.

Relevance to preferential treatment

The case illustrates how control over an ecosystem can permit a platform owner to influence:

• default placement;
• distribution;
• search access;
• app-store access; and
• competing services.

Legal significance

The case demonstrates that competition analysis in digital ecosystems may need to examine multiple interconnected contractual and technical practices, rather than considering each product in isolation.

3. Google Android Auto — European Commission

The European Commission's investigation into Android Auto concerned restrictions on the ability of competing applications to interact with Google's automotive platform.

The matter ultimately resulted in commitments concerning interoperability.

Relevance

This illustrates a different form of preferential treatment:

technical interoperability can become a competitive parameter.

If a platform gives its own applications access to functionality while restricting competing applications from comparable access, competition authorities may investigate whether the restriction forecloses rivals.

Significance

The case is particularly relevant to:

• connected cars;
• smart devices;
• operating systems;
• APIs;
• interoperability; and
• platform ecosystems.

4. Apple App Store — European Commission / EU Digital Markets Proceedings

Apple's App Store practices have generated extensive European competition scrutiny concerning the relationship between Apple's own ecosystem and third-party developers.

The relevant issues include:

• app distribution;
• payment systems;
• commission structures;
• anti-steering restrictions;
• access to users;
• alternative payment mechanisms.

Competition significance

The central structural problem is often described as a dual-role problem:

Apple controls the infrastructure through which developers reach consumers while simultaneously offering services that may compete with those developers.

This creates potential conflicts concerning access, pricing and distribution.

Broader lesson

A platform's control over an app ecosystem can give it substantial influence over the competitive conditions faced by downstream businesses.

6. Amazon Marketplace — European Commission

The European Commission investigated Amazon's use of marketplace data concerning independent sellers.

The Commission's concerns focused on Amazon's dual role as:

1. marketplace operator; and
2. retailer competing with sellers using the marketplace.

The investigation examined whether Amazon's access to non-public seller information could advantage its own retail business.

Relevance to preferential treatment

This represents data-based preferential treatment rather than merely ranking-based self-preferencing.

The competitive mechanism can be expressed as:

Marketplace → access to seller data → analysis of successful products → own retail strategy → competitive advantage.

Legal significance

The case demonstrates that preferential treatment may occur through information asymmetry, even where the platform's visible ranking system is not the primary issue.

7. Amazon Buy Box and Marketplace Conduct

Amazon's marketplace structure has also generated competition concerns surrounding the Buy Box, seller visibility, fulfilment and preferential access to platform features.

The Buy Box is commercially important because consumers may disproportionately purchase the offer presented through the principal purchasing interface.

Competition analysis may therefore consider whether:

• platform-owned or affiliated products receive preferential visibility;
• particular fulfilment arrangements receive advantages;
• platform rules disadvantage independent sellers; or
• marketplace participation conditions favour particular businesses.

Significance

The case illustrates how a seemingly neutral interface decision can have substantial competitive consequences where the platform controls consumer attention.

8. Microsoft — Internet Explorer

Case: Microsoft v Commission, Case T-201/04, General Court, 2007.

Although predating the modern platform economy, the Microsoft litigation is highly relevant to digital ecosystems.

Microsoft integrated Internet Explorer with Windows and was found to have abused its dominant position through conduct involving tying and distribution.

Relevance

The case demonstrates the competition-law importance of controlling an operating-system environment.

The structure was:

Dominant operating system → integration/distribution advantage → competing browser disadvantage.

Broader principle

Control of an important technological platform can permit an undertaking to influence downstream competition through distribution and defaults.

9. Google Search — European Commission and General Court

The Google Search cases illustrate the development of competition law around digital search.

The Shopping case is particularly significant because search results are not merely neutral information: placement determines consumer attention and traffic.

A ranking advantage can therefore become economically significant where:

• consumers rarely inspect lower-ranked results;
• rivals depend heavily on search traffic;
• the platform controls ranking algorithms; and
• the platform competes with the businesses being ranked.

10. Qualcomm — Loyalty Rebates and Digital Ecosystems

Case: Qualcomm, European Commission decision concerning exclusivity payments, subsequently litigated before the EU courts.

The case concerns conditional incentives rather than classic self-preferencing, but it is relevant to the broader concept of preferential treatment.

The underlying competition question was whether financial incentives could effectively make it more difficult for rivals to compete.

Relevance

Preferential treatment can therefore operate through:

• prices;
• rebates;
• payments;
• contractual incentives; and
• exclusivity arrangements,

rather than only through algorithms.

11. India: Google Android — Competition Commission of India

The Competition Commission of India (CCI) has extensively examined Google's conduct in the Android ecosystem.

The CCI's Android proceedings addressed Google's position in several interconnected markets and practices involving:

• mobile operating systems;
• app stores;
• search services;
• browsers;
• application distribution; and
• licensing arrangements.

Competition significance

The Indian proceedings demonstrate the importance of analysing digital ecosystems through interrelated markets, rather than assuming that each digital service operates independently.

The CCI's analysis involved questions of:

• dominance;
• leveraging;
• tying;
• market access;
• contractual restrictions; and
• ecosystem effects.

12. India: Google Play Billing

The CCI has also examined Google's Play Store billing-related conduct.

The central competition concern is particularly relevant to digital ecosystems because the platform can simultaneously control:

App distribution + billing infrastructure + access to users.

Where developers depend upon the platform to reach consumers, the conditions attached to payment systems may have competitive effects.

Comparative Case-Law Table

13. Essential Elements for Establishing an Infringement

A competition authority would generally examine the following.

A. Relevant Market

The first step is identifying the relevant product and geographic market.

Digital markets may require analysis of:

• user-side services;
• advertiser-side markets;
• merchant platforms;
• app distribution;
• digital advertising;
• operating systems;
• payment services;
• cloud services.

B. Dominance

Preferential treatment becomes especially significant where the platform has substantial market power.

Indicators may include:

• market share;
• network effects;
• switching costs;
• barriers to entry;
• data advantages;
• ecosystem integration;
• access to users;
• economies of scale.

Market share alone does not establish abuse.

C. Competitive Relationship

A particularly important circumstance is where:

The platform controls access to a market in which its own service competes with the businesses dependent upon the platform.

This creates the classic platform-as-referee-and-player problem.

D. Foreclosure

Authorities may ask whether preferential treatment is capable of excluding or weakening competitors.

Possible mechanisms include:

• reduced traffic;
• lower visibility;
• higher acquisition costs;
• reduced access to data;
• inability to interoperate;
• higher commissions;
• reduced conversion rates;
• increased switching costs.

14. Data as a Source of Preferential Treatment

Data is increasingly central.

Suppose a marketplace observes:

• which products sell;
• prices;
• conversion rates;
• customer demographics;
• search queries;
• return rates;
• inventory levels.

If the marketplace simultaneously sells competing products, access to this information may provide an informational advantage.

This produces a potential competitive cycle:

Third-party sellers generate data → platform observes data → platform improves competing service → competing sellers become weaker → platform obtains more data.

The competition question is whether this constitutes legitimate platform operation or exclusionary exploitation of a dominant position.

15. Algorithmic Preferential Treatment

Algorithms can create preferential treatment without an explicit human instruction.

For example, a ranking algorithm may take into account:

• conversion rates;
• platform margins;
• delivery performance;
• user engagement;
• advertising payments;
• fulfilment arrangements.

If the platform designs the algorithm in a manner that systematically benefits its own products, authorities may investigate whether the algorithm produces exclusionary effects.

Important evidentiary issues

Competition investigations may require examination of:

• source code;
• algorithmic objectives;
• ranking variables;
• A/B tests;
• historical rankings;
• internal communications;
• consumer behaviour;
• traffic data.

16. Network Effects and Feedback Loops

Preferential treatment may be particularly significant where network effects exist.

A simplified model is:

More users
↓
More transactions
↓
More data
↓
Better algorithms/services
↓
Greater attractiveness
↓
More users

If the platform preferentially promotes its own services, the feedback loop can potentially strengthen its position while weakening independent rivals.

17. Objective Justification and Efficiencies

A platform can have legitimate reasons for giving particular services better placement.

For example:

• greater security;
• fraud prevention;
• technical compatibility;
• faster delivery;
• better consumer protection;
• privacy protection;
• system stability;
• quality assurance.

Therefore, competition law should distinguish legitimate product design from exclusionary discrimination.

A platform may argue that its integrated service provides consumers with a better experience.

The relevant question is whether the justification is genuine and proportionate and whether the same objective could be achieved without unnecessarily disadvantaging rivals.

18. Remedies

Where preferential treatment is found to violate competition law, possible remedies include:

Structural remedies

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

Behavioural remedies

• equal-ranking obligations;
• non-discrimination;
• access obligations;
• interoperability;
• data-access requirements;
• transparency requirements.

Contractual remedies

• removal of exclusivity;
• modification of restrictive agreements;
• prohibition of discriminatory contractual conditions.

Algorithmic remedies

• independent monitoring;
• audit mechanisms;
• reporting obligations;
• restrictions on discriminatory ranking criteria.

19. Ex Ante Regulation

Traditional antitrust enforcement is often ex post: authorities investigate conduct after competition concerns arise.

Digital markets have also produced ex ante regulation.

The European Union's Digital Markets Act (DMA) is particularly important because designated gatekeepers face obligations concerning areas such as:

• self-preferencing;
• interoperability;
• data use;
• app distribution;
• combining personal data;
• steering;
• access conditions.

This reflects the recognition that some digital ecosystems can possess structural characteristics that make conventional case-by-case enforcement difficult.

20. Distinguishing Legitimate Preference from Anti-Competitive Preference

This distinction is fact-specific.

21. Competition-Law Challenges

A. Defining the market

Digital services may be supplied at zero monetary prices.

B. Measuring harm

Consumer harm may involve:

• reduced innovation;
• lower quality;
• less choice;
• reduced privacy;
• higher prices elsewhere in the ecosystem.

C. Proving algorithmic discrimination

Authorities may need extensive technical evidence.

D. Dynamic competition

Today's small competitor may become tomorrow's major competitor.

E. Ecosystem complexity

Conduct in one market may affect several related markets simultaneously.

22. Indian Legal Framework

In India, the principal statutory provisions are found in the Competition Act, 2002.

Particularly relevant are:

Section 4

Prohibits abuse of dominant position.

Potentially relevant forms include:

• unfair or discriminatory conditions;
• unfair or discriminatory prices;
• denial of market access;
• tying;
• leveraging dominance.

Section 19

Provides the framework for investigation of contraventions, including assessment of relevant markets and dominance.

Section 26

Provides for investigation following information or a reference concerning alleged contraventions.

Section 27

Provides remedial powers where contravention is established.

The Competition Commission of India has increasingly applied these concepts to digital platforms and multi-sided ecosystems.

23. Compliance Framework for Digital Platforms

A platform can reduce competition-law risk through a structured compliance programme.

Step 1 — Identify competitive conflicts

Determine where the platform simultaneously acts as:

infrastructure provider + marketplace operator + competitor.

Step 2 — Audit ranking systems

Examine whether ranking algorithms systematically benefit affiliated products.

Step 3 — Establish objective criteria

Ranking and access should preferably be based upon transparent, consistently applied criteria.

Step 4 — Control data access

Prevent privileged internal access to competitively sensitive third-party information.

Step 5 — Audit interoperability

Check whether competitors receive technically equivalent access where appropriate.

Step 6 — Review defaults

Assess whether defaults unnecessarily foreclose competing services.

Step 7 — Maintain documentary evidence

Record legitimate technical and consumer-protection reasons for platform design decisions.

Conclusion

Preferential treatment is one of the most significant competition-law issues arising from the modern digital ecosystem model.

The central concern is not simply that a platform prefers its own products. Businesses routinely favour their own products and compete on their merits. The competition-law issue arises when a dominant platform uses control over an important digital infrastructure, interface, ranking mechanism, data resource, payment system, or interoperability layer to give its own business an advantage capable of weakening effective competition.

The major cases involving Google, Amazon, Microsoft, Apple and Qualcomm, together with the Indian CCI's digital-platform enforcement, demonstrate several recurring forms of preferential treatment:

ranking preference → distribution preference → data preference → technical preference → payment preference → contractual preference.