Competition Law and Future Regulation of Transformation Platforms

1. Introduction

Transformation platforms may be understood as digital or technology-enabled platforms that do more than merely intermediate transactions. They actively transform markets, business models, consumer behaviour, supply chains, data flows, infrastructure, and competitive conditions.

Examples include platforms that:

• convert traditional services into digital ecosystems;
• connect producers, consumers, developers and advertisers;
• provide infrastructure through which competing businesses operate;
• use AI and algorithms to reorganise markets;
• integrate payments, search, cloud, logistics, advertising and data;
• facilitate migration from physical to digital markets;
• control technological standards or interoperability;
• use accumulated data to enter adjacent markets.

The competition-law difficulty is that a transformation platform can simultaneously be a marketplace, infrastructure provider, competitor, data intermediary, standard setter and regulator of its own ecosystem.

Traditional competition law generally examines whether a particular firm possesses dominance in a particular relevant market. Transformation platforms challenge this approach because competitive power may arise from ecosystem control, data advantages, network effects, interoperability barriers and cross-market leverage, rather than from a single conventional market.

The European Commission's Digital Markets Act (DMA), Germany's Section 19a GWB and comparable digital-competition regimes illustrate a movement toward earlier, ecosystem-oriented regulation. The EU currently regulates designated gatekeepers including Alphabet, Amazon, Apple, ByteDance, Meta, Microsoft and Booking across specified core platform services.

2. Meaning of a Transformation Platform

A transformation platform can be represented as:

Technology → Data → Network Effects → Ecosystem → Market Transformation → Competitive Power

Unlike an ordinary platform, its principal economic significance lies in its ability to change the structure of an industry.

Examples

The same undertaking may occupy several of these roles simultaneously.

3. Why Transformation Platforms Create Competition Problems

A. Network Effects

The value of the platform increases as more users participate.

This creates:

More users → more data → better service → more users → stronger network effects.

Once sufficiently strong, network effects can make market entry extremely difficult.

B. Data Advantages

Transformation platforms frequently accumulate:

• consumer data;
• transaction data;
• search data;
• behavioural data;
• location data;
• purchasing histories;
• business-user data;
• advertising data;
• technical-performance data.

The combination of these datasets can provide a competitive advantage that cannot easily be replicated by a new entrant.

The German Bundeskartellamt's Google proceedings expressly recognise that data collection, processing and combination can contribute to the competitive power of large digital companies.

C. Self-Preferencing

A transformation platform may operate both:

1. the infrastructure through which competitors reach customers; and
2. its own competing service.

It may then give its own service:

• better ranking;
• preferential access;
• better data;
• lower fees;
• superior visibility;
• technical integration;
• default status.

This creates a fundamental conflict of interest.

4. Leveraging Across Adjacent Markets

A platform dominant in one market may use that position to enter another.

For example:

Search → Browser → Mobile OS → App Store → Payments → Advertising → AI

or:

Marketplace → Logistics → Payments → Advertising → Cloud

Competition law therefore increasingly examines ecosystem leverage, rather than merely asking whether dominance exists in one narrowly defined market.

5. Six Major Case Laws

5.1 Microsoft Corp. v Commission, Case T-201/04

Court: General Court of the European Union
Decision: 17 September 2007

Microsoft concerned two particularly important forms of conduct:

1. refusal to provide interoperability information to competitors; and
2. tying the Windows operating system to Windows Media Player.

The General Court upheld the Commission's findings concerning abuse of dominant position and accepted extensive remedies.

Importance for transformation platforms

The case established an important principle for platform competition:

Control over technological infrastructure can become a source of exclusionary power.

A platform controlling an essential technological layer may be able to disadvantage competitors operating on complementary or downstream markets.

Future application

The Microsoft principles are relevant to:

• cloud platforms;
• AI operating environments;
• IoT ecosystems;
• autonomous-vehicle software;
• smart-home systems;
• industrial platforms;
• interoperability between competing ecosystems.

5.2 Google Shopping, Case T-612/17

Google and Alphabet v Commission
General Court, 10 November 2021

The Commission found that Google abused its dominant position in general search by favouring its own comparison-shopping service over competing comparison-shopping services.

The General Court largely upheld the Commission's decision and the €2.42 billion fine.

Competition principle

The case is a leading example of self-preferencing.

The central concern was not merely Google's possession of a large search engine. It was the use of that position to give preferential treatment to Google's own downstream service.

Relevance to transformation platforms

The same issue can arise where a platform:

• controls the marketplace and sells its own products;
• controls an app store and offers competing apps;
• controls a search engine and operates vertical-search services;
• controls an advertising exchange and participates on the demand/supply side;
• controls an AI interface and preferentially directs users toward its own products.

5.3 Google Android, Case T-604/18

Google and Alphabet v Commission
General Court, 14 September 2022

The Android case concerned Google's ecosystem involving:

• Android;
• Google Search;
• Google Play;
• Chrome;
• device manufacturers;
• mobile network operators.

The General Court largely confirmed the Commission's finding that Google imposed unlawful restrictions intended to reinforce its dominant position in search.

The Court specifically addressed concepts such as multi-sided platforms and ecosystems, product bundling, exclusivity payments and anti-fragmentation obligations.

Importance

Android demonstrates how competitive power can arise from control of an ecosystem rather than a single product.

A platform can use:

Operating system → app store → default settings → search → data → advertising

to reinforce its position across interconnected markets.

Future regulatory significance

Transformation-platform regulation is likely to scrutinise:

• default settings;
• bundling;
• technical restrictions;
• app distribution;
• interoperability;
• switching;
• access to ecosystem data.

The EU Court of Justice also delivered judgment on the Android appeal in July 2026, making the Android litigation an especially current reference point for ecosystem competition law.

5.4 Facebook/Meta Data Case — Bundeskartellamt

The German Bundeskartellamt's Facebook proceedings addressed Facebook's combination of user data from different sources.

The authority prohibited the combination of data from different services without appropriate voluntary user choice. The proceeding illustrated the interaction between data control and market power.

Competition principle

Data can constitute an important source of competitive advantage.

The issue therefore becomes:

Can a dominant platform use data accumulated in one ecosystem to strengthen its position in another?

Importance for transformation platforms

Future platforms may integrate:

• financial data;
• health data;
• mobility data;
• shopping data;
• location information;
• AI interaction data;
• workplace data.

Competition regulation may therefore increasingly examine cross-service data combination as an ecosystem strategy.

5.5 Amazon Marketplace Proceedings

The German Bundeskartellamt has conducted several proceedings concerning Amazon Marketplace.

In an earlier proceeding, Amazon agreed to eliminate price-parity clauses requiring sellers to maintain on Amazon the lowest prices offered through other channels. The authority later addressed Amazon's contractual terms and subsequently its significance across markets under Section 19a GWB.

More recently, the Bundeskartellamt has examined Amazon's marketplace price-control mechanisms and algorithms, including the possibility of products or sellers being disadvantaged because of pricing.

Competition principle

A marketplace platform can simultaneously be:

• intermediary;
• competitor;
• rule-maker;
• data collector;
• advertiser;
• logistics provider.

That creates a potential structural conflict.

Future significance

Transformation platforms may increasingly be regulated for:

• algorithmic seller treatment;
• discriminatory ranking;
• platform fees;
• access restrictions;
• price parity;
• use of seller data;
• platform-owned competing products.

5.6 Microsoft and Interoperability as a Continuing Platform Principle

The Microsoft jurisprudence is particularly important because interoperability is becoming central to modern transformation platforms.

A transformation platform may deliberately make it difficult for users or businesses to connect with:

• rival cloud systems;
• competing operating systems;
• alternative payment systems;
• competing AI models;
• rival messaging services;
• third-party applications;
• competing data services.

The Microsoft decision therefore provides a conceptual foundation for future regulation of technical bottlenecks and ecosystem interoperability.

6. Additional Important Authorities

A. Apple App Store/Digital Markets Act

The EU's regulatory experience with Apple demonstrates the shift from traditional ex-post competition law toward specific ex-ante platform obligations.

In April 2025, the European Commission found Apple in breach of the DMA's anti-steering obligation and imposed a €500 million fine.

This is important because steering restrictions can prevent businesses from telling consumers about cheaper or alternative purchasing channels.

B. Google DMA Proceedings

The Commission has also treated self-preferencing and steering as specific regulatory concerns under the DMA.

In July 2026, the Commission announced two Google non-compliance decisions involving:

• preferential treatment of Google's own services in Search; and
• restrictions on steering users to alternative purchasing channels through Google Play.

The announced fines were €460 million and €430 million respectively.

This demonstrates the movement from proving traditional abuse after the event toward direct behavioural obligations for designated gatekeepers.

7. Transformation Platforms and Relevant Market Definition

Traditional market definition may become difficult where one platform operates several interconnected markets.

A transformation platform could simultaneously operate:

Market A → Market B → Market C → Market D

The relevant competitive question may therefore be:

Should each market be assessed independently, or should the ecosystem itself be analysed?

Possible approaches include:

1. Traditional market definition

Identify separate relevant product and geographic markets.

2. Multi-sided market analysis

Analyse interactions between:

• users;
• advertisers;
• sellers;
• developers;
• service providers.

3. Ecosystem analysis

Examine the platform's interconnected services collectively.

4. Competitive bottleneck analysis

Identify whether the platform controls an unavoidable gateway.

8. Future Competition Concerns

8.1 Algorithmic Self-Preferencing

Future transformation platforms may use AI to determine:

• search rankings;
• product visibility;
• credit allocation;
• advertising placement;
• access to customers;
• pricing;
• recommendation outcomes.

Competition law will have to determine whether apparently neutral algorithms systematically favour the platform's own services.

8.2 Algorithmic Collusion

AI systems may observe competitors and independently adjust prices.

The difficult question will be:

When does autonomous algorithmic coordination become legally attributable to the platform?

Future regulation may require:

• algorithmic auditing;
• documentation;
• monitoring;
• preservation of decision logs;
• human accountability.

8.3 Data Portability

If users cannot transfer their data, switching costs increase.

Therefore future regulation may require:

Data portability → lower switching costs → greater contestability

This is already reflected in digital-platform regulation, where portability and access to certain platform-generated data have become regulatory concerns.

9. Interoperability Regulation

Interoperability is likely to become one of the most important regulatory tools.

A future transformation platform could be required to permit competitors to interact with:

• APIs;
• payment systems;
• operating systems;
• cloud infrastructure;
• messaging services;
• identity systems;
• data repositories.

The objective is not necessarily to eliminate platform integration but to prevent technical incompatibility from becoming an artificial entry barrier.

10. Switching Costs and Migration Barriers

A transformation platform may make customers dependent upon its ecosystem through:

• proprietary data formats;
• contractual restrictions;
• expensive migration;
• technical incompatibility;
• loss of accumulated reputation;
• loss of transaction history;
• loss of API access.

Competition authorities may increasingly regard these mechanisms as relevant to market power.

11. Merger Control

Transformation platforms create particular concerns through acquisitions of emerging competitors.

A dominant platform may acquire:

• an AI start-up;
• a data analytics company;
• an innovative payment provider;
• a cloud technology;
• an emerging marketplace;
• an interoperability tool.

The acquired company may have relatively low current revenues but possess substantial future competitive significance.

Therefore future merger regulation may pay greater attention to:

• innovation competition;
• data assets;
• nascent competitors;
• ecosystem expansion;
• interoperability technologies;
• potential competition.

12. Ex-Ante Regulation Versus Traditional Competition Law

Traditional competition law

Usually asks:

1. Is there a relevant market?
2. Is the undertaking dominant?
3. Has it engaged in abusive conduct?
4. Has competition been harmed?

Future platform regulation

May instead ask:

1. Is the platform a gatekeeper?
2. Does it control an important ecosystem?
3. Does it possess cross-market significance?
4. Does it control an important gateway?
5. Is interoperability sufficiently available?
6. Can users switch?
7. Can business users reach customers independently?
8. Can the platform favour itself?
9. Can it combine data across services?
10. Can it acquire emerging competitors?

Germany's Section 19a GWB is an important example of this preventative approach. It permits intervention against companies having paramount significance across markets and can address practices such as self-preferencing and other forms of market leveraging.

13. Future Regulatory Model

A sophisticated regulatory framework could contain six layers:

Layer 1 — Market identification

Identify relevant markets and ecosystem relationships.

Layer 2 — Gatekeeper assessment

Determine whether the undertaking controls an important gateway.

Layer 3 — Conduct regulation

Address:

• self-preferencing;
• tying;
• discriminatory access;
• exclusionary contracts;
• anti-steering;
• data exploitation.

Layer 4 — Structural interoperability

Require appropriate:

• API access;
• data portability;
• interoperability;
• switching mechanisms.

Layer 5 — Merger supervision

Examine acquisitions of:

• nascent competitors;
• data-rich businesses;
• innovative technologies;
• complementary ecosystem services.

Layer 6 — Continuous supervision

Because AI-driven platforms can change rapidly, regulators may need continuing monitoring rather than one-time investigations.

14. Remedies

Future remedies may include:

Behavioural remedies

• prohibition of self-preferencing;
• non-discrimination;
• transparency;
• anti-steering;
• restrictions on data combination.

Technical remedies

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

Structural remedies

In exceptional circumstances:

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

Procedural remedies

• algorithmic audits;
• compliance reports;
• independent monitoring;
• preservation of algorithmic records;
• regulatory access to relevant information.

15. Challenges for Regulators

A. Defining the Market

Digital ecosystems can blur conventional market boundaries.

B. Establishing Causation

A platform may argue that its algorithmic design improves consumer welfare rather than excludes competitors.

C. Innovation

Over-regulation could potentially interfere with legitimate technological innovation.

D. International Enforcement

A platform may operate globally while regulation remains nationally or regionally fragmented.

E. Rapid Technological Change

AI, cloud computing, synthetic data and autonomous systems may evolve faster than conventional enforcement processes.

F. Remedy Design

An ineffective remedy may simply cause the platform to shift exclusionary conduct to another part of its ecosystem.

16. Emerging Concept: Ecosystem Power

The future of competition law may therefore move from:

Market Power

toward:

Ecosystem Power

Ecosystem power can be conceptualised as:

Network effects + data advantages + infrastructure control + switching costs + interoperability control + cross-market leverage

A company may possess considerable ecosystem power even where no single traditional market fully captures its competitive significance.

17. Relationship with the Digital Markets Act

The EU's DMA is particularly relevant because it establishes direct obligations for designated gatekeepers rather than relying exclusively on lengthy abuse-of-dominance proceedings.

Current designated core platform services include areas such as:

• search;
• app stores;
• operating systems;
• marketplaces;
• advertising;
• social networking;
• browsers;
• video platforms;
• messaging;
• online intermediation.

The Commission's current gatekeeper framework therefore provides an important model for future transformation-platform regulation.

The regulatory model is still evolving: in March 2026, designated gatekeepers submitted updated compliance reports, while the Commission continued assessing the effectiveness of their measures.

18. Cloud and Transformation Platforms

Cloud computing is particularly important because it can become foundational infrastructure for:

• AI;
• enterprise software;
• financial technology;
• healthcare;
• manufacturing;
• government services;
• data analytics.

In 2026 the European Commission was conducting a DMA market investigation concerning cloud services, including interoperability, financial conditions and contractual conditions, with a final report scheduled for May 2027.

This illustrates how competition regulation is moving toward infrastructure-level platform competition.

19. Key Case-Law Principles

20. Conclusion

Competition law concerning transformation platforms is likely to develop from a single-market, ex-post model toward a more ecosystem-oriented, preventative and technologically informed framework.

The principal future concerns will be:

1. ecosystem dominance;
2. self-preferencing;
3. cross-market leveraging;
4. data accumulation and combination;
5. algorithmic discrimination;
6. AI-enabled coordination;
7. interoperability restrictions;
8. switching and migration barriers;
9. platform-controlled infrastructure;
10. acquisition of nascent competitors;
11. cloud and AI bottlenecks;
12. control over standards and technical interfaces.

The central legal transformation is therefore from asking merely “Is the platform dominant?” to examining how the platform's technological, data, infrastructural and ecosystem position affects the ability of other businesses to compete.