Competition Law and Lifelong Learning Platform Market Power

1. Introduction

Lifelong learning platforms are digital services that provide education, professional training, certifications, vocational courses, skill development, language learning, continuing education, or other learning opportunities to users throughout their careers and adult lives.

Examples include platforms offering:

• Online professional courses
• Certification programmes
• Corporate training
• Micro-credentials
• Executive education
• Language learning
• Technical and vocational training
• Continuing professional development
• AI-based personalized learning
• Subscription-based educational content
• Course marketplaces connecting learners with instructors

Competition-law issues arise when a platform acquires or maintains substantial market power and uses that power to exclude competitors, exploit users or instructors, restrict access to educational content, impose discriminatory conditions, or leverage its position into related markets.

The important point is that large size alone does not constitute an antitrust violation. Competition law generally distinguishes between lawful success through innovation and unlawful conduct that harms competition.

2. Meaning of Market Power

Market power generally means the ability of a firm to act to a significant extent independently of competitive constraints.

A lifelong-learning platform may possess market power if it can, for example:

• Increase subscription prices without losing substantial users;
• Impose unfavorable contractual terms on instructors;
• Restrict competing platforms' access to courses or learners;
• Control important educational data;
• Prefer its own courses in search or recommendations;
• Make it difficult for users to switch platforms;
• Prevent instructors from using competing platforms;
• Acquire emerging competitors before they become significant competitive threats.

Market power is therefore different from market share.

A company may have a high market share but face substantial competition, while a company with a smaller share may possess significant power because of network effects, switching costs or control over an important input.

3. Relevant Market

Before determining whether a platform possesses market power, competition authorities generally define the relevant market.

This involves two dimensions:

A. Product/service market

Possible markets include:

• Online lifelong learning platforms;
• Professional certification platforms;
• Online language-learning services;
• Corporate e-learning;
• Online vocational training;
• Higher-education online programmes;
• Digital course marketplaces.

Whether these belong to one market or separate markets depends upon substitutability.

B. Geographic market

The geographic market could be:

• National;
• Regional;
• Global; or
• Language-specific.

Digital delivery does not automatically make the market worldwide.

4. Multi-Sided Nature of Learning Platforms

Many lifelong-learning platforms are multi-sided markets.

They may simultaneously connect:

Learners ↔ Instructors ↔ Universities/Training Providers ↔ Employers

For example:

• Learners attract instructors;
• More instructors attract learners;
• More learners make the platform attractive to universities;
• Employer recognition can attract additional learners;
• More users generate data that can improve recommendation systems.

This creates powerful indirect network effects.

Consequently, competition authorities must examine competition across multiple sides of the platform rather than considering only the price paid by learners.

5. Zero-Price Services and Competition Law

Some learning platforms provide free courses or free access to basic educational materials.

A zero monetary price does not necessarily mean that competition law is irrelevant.

Users may provide value through:

• Attention;
• Personal data;
• Learning behavior;
• Course reviews;
• Engagement;
• Content creation.

Therefore, competitive harm may appear through:

• Reduced quality;
• Reduced privacy;
• Less choice;
• Restrictions on interoperability;
• Lower innovation.

Competition authorities increasingly examine these non-price dimensions in digital markets.

6. Sources of Market Power in Lifelong Learning

6.1 Network Effects

A platform becomes more valuable as more users participate.

For example:

More learners → more instructors → more courses → more learners.

Strong network effects can make market entry difficult.

6.2 Switching Costs

Users may accumulate:

• Certificates;
• Course history;
• Professional profiles;
• Learning records;
• Personalized recommendations;
• Employer connections.

Moving to another platform may cause loss of convenience or accumulated reputation.

6.3 Data Advantages

A major learning platform may possess enormous amounts of:

• Learning-performance data;
• Search data;
• User preferences;
• Course completion information;
• Employer-demand information;
• Instructor-performance information.

Data can become an important competitive advantage.

6.4 Brand and Accreditation

A platform may become attractive because its certificates are recognized by:

• Employers;
• Universities;
• Professional bodies;
• Governments;
• Industry organizations.

Recognition can create barriers to entry for new platforms.

6.5 Economies of Scale

Digital platforms can distribute software, cloud infrastructure and content to large numbers of users at relatively low marginal cost.

This can create significant economies of scale.

7. Exclusionary Conduct

Market power becomes a competition-law concern particularly where a dominant platform engages in exclusionary conduct.

Possible conduct includes:

Exclusivity

Requiring instructors or universities to provide courses exclusively through the platform.

Most-favoured-nation clauses

Preventing instructors from offering lower prices on competing platforms.

Self-preferencing

Giving the platform's own courses preferential ranking or visibility.

Tying

Requiring users to purchase one educational service to obtain another.

Refusal to deal

Denying competitors access to an essential or strategically important educational resource.

Predatory pricing

Charging below-cost prices with a strategy aimed at eliminating competitors.

Discriminatory access

Providing different terms to similarly situated educational providers without objective justification.

8. Exploitative Conduct

A dominant learning platform might also engage in conduct directly harming users or suppliers.

Examples include:

• Excessive subscription fees;
• Excessive commissions charged to instructors;
• Unfair contractual terms;
• Unreasonable cancellation provisions;
• Unfair treatment of course creators;
• Excessive use of personal data.

However, competition authorities generally require a proper economic and legal analysis before concluding that such conduct constitutes an abuse of dominance.

9. Self-Preferencing

Self-preferencing may arise when a platform simultaneously:

1. Operates a marketplace; and
2. Competes within that marketplace.

For example, suppose a platform allows independent educators to sell courses but also sells its own courses.

If its algorithm systematically places its own courses above competing courses for reasons unrelated to quality or user preferences, competitors may argue that the platform is leveraging its market power.

The competition-law analysis would examine:

• The platform's market position;
• The ranking mechanism;
• Competitive effects;
• Objective justifications;
• Effects on consumers and innovation.

10. Exclusive Dealing

Suppose a dominant platform requires a major university to provide its online professional courses exclusively through the platform.

Potential effects include:

• Foreclosure of competing platforms;
• Reduction in available educational content;
• Increased barriers to entry;
• Reduced innovation.

But exclusivity is not automatically unlawful.

Authorities generally examine:

• Duration;
• Market coverage;
• Degree of foreclosure;
• Availability of alternatives;
• Market power;
• Efficiency justifications.

11. Most-Favoured-Nation Clauses

A learning platform might tell instructors:

“You cannot offer this course at a lower price on another platform.”

Such clauses may restrict price competition between platforms.

They may potentially:

• Raise prices;
• Reduce platform competition;
• Discourage new entrants;
• Prevent innovative pricing models.

The legality depends on the relevant jurisdiction, market structure and precise contractual arrangement.

12. Data as a Competitive Asset

Data can become a source of market power where:

• The data is difficult to replicate;
• It improves algorithmic recommendations;
• It improves course matching;
• It supports personalized education;
• Competitors cannot obtain equivalent data.

However, possession of data alone does not necessarily establish dominance.

Authorities must examine:

• Quality;
• Quantity;
• Exclusivity;
• Replicability;
• Access conditions;
• Importance to competition.

13. Algorithmic Market Power

Modern lifelong-learning platforms may use algorithms to:

• Recommend courses;
• Rank instructors;
• Determine pricing;
• Match employers and learners;
• Detect fraud;
• Personalize learning.

Competition concerns can arise if an algorithm is designed or used to:

• Favor the platform's own services;
• Discriminate against competitors;
• Coordinate prices;
• Exclude particular providers;
• Reduce transparency.

An algorithm does not escape competition law merely because the conduct is technologically automated.

14. Relevant Case Laws

1. United Brands v Commission, Case 27/76 [1978] ECR 207

The European Court of Justice developed an important approach to determining dominance.

The Court examined whether a company could behave independently of competitors, customers and consumers to an appreciable extent.

Principle

Market power is fundamentally concerned with the ability of an undertaking to act independently of competitive constraints.

Relevance

A dominant lifelong-learning platform could potentially possess market power where learners, instructors and competing platforms cannot effectively constrain its conduct.

15. Hoffmann-La Roche v Commission, Case 85/76 [1979] ECR 461

The Court examined exclusive purchasing arrangements involving a dominant undertaking.

It emphasized that dominant firms have a special responsibility not to allow their conduct to impair genuine competition.

Principle

Exclusive arrangements by a dominant undertaking may raise abuse-of-dominance concerns where they foreclose competitors.

Application

A dominant learning platform requiring instructors or universities to deal exclusively with it could raise similar concerns.

16. Google Shopping, Case AT.39740, General Court Judgment, 2021

The European Commission found that Google had favored its own comparison-shopping service in search results, and the General Court upheld the Commission's decision in substantial part.

Principle

A platform with significant market power may face competition-law scrutiny where it uses control over an important platform function to advantage its own competing service.

Relevance

The reasoning is highly relevant by analogy to a lifelong-learning platform that:

• Controls course search;
• Competes with course providers; and
• Gives its own courses systematically preferential visibility.

17. Intel v Commission, Case C-413/14 P [2017] EU:C:2017:632

The Court of Justice addressed rebates offered by a dominant undertaking.

The judgment emphasized the importance of examining whether the conduct is capable of producing anticompetitive foreclosure.

Principle

Competition analysis should consider the actual or potential ability of the conduct to exclude equally efficient competitors rather than relying exclusively on formal classifications.

Relevance

This approach can be relevant to learning-platform discounts, exclusive instructor incentives or loyalty-based subscription arrangements.

18. Qualcomm v Commission, Case T-235/18, General Court Judgment (2022)

The case concerned exclusionary payments and market foreclosure.

The General Court emphasized the importance of assessing the competitive effects of the conduct rather than simply assuming that payments are unlawful because they are made by a dominant firm.

Principle

Economic analysis of foreclosure and competitive effects is important when assessing exclusionary conduct.

Relevance

A dominant education platform offering financial incentives to prevent universities or instructors from using rival platforms would require similar analysis.

19. United States v Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001)

The Microsoft litigation is a foundational U.S. antitrust authority concerning monopolization and exclusionary conduct.

The court considered Microsoft's conduct involving:

• Internet Explorer;
• Operating-system control;
• Contracts;
• Restrictions on competing technologies.

Principle

A firm possessing substantial market power can violate competition law by using exclusionary practices to protect or extend that power.

Relevance

A dominant learning platform could potentially face similar concerns if it uses control over a platform ecosystem to exclude competing educational services.

20. Ohio v. American Express Co., 585 U.S. 529 (2018)

The U.S. Supreme Court emphasized that certain platforms are two-sided transaction platforms and that competition analysis may need to consider effects on both sides.

Principle

For certain multi-sided platforms, competitive effects cannot necessarily be evaluated by examining only one side of the platform.

Relevance

This is particularly important for lifelong-learning platforms connecting:

learners + instructors + educational institutions.

A restriction benefiting one side might affect competition on another side.

21. FTC v Qualcomm Inc., 969 F.3d 974 (9th Cir. 2020)

The Ninth Circuit examined alleged exclusionary conduct involving technology licensing and competition.

The court emphasized the distinction between conduct that harms competitors and conduct that harms the competitive process.

Principle

Competition law generally protects competition rather than individual competitors.

Relevance

A learning platform's competitors would not automatically have a competition-law claim merely because they lose users to a successful platform. The key question is whether the platform's conduct unlawfully restricts competition.

22. Competition Concerns in Mergers

Market power may also increase through acquisitions.

Suppose a dominant learning platform acquires:

• A major language-learning service;
• A professional certification provider;
• An AI tutoring company;
• A course marketplace;
• A corporate-training platform.

Competition authorities may investigate whether the acquisition eliminates an important competitive constraint.

Particular attention may be given to nascent competitors.

A small education startup may have limited current revenue but significant future competitive potential.

23. Killer Acquisitions

Digital markets create a possibility that a dominant platform purchases a small emerging competitor before the competitor becomes significant.

Competition authorities may therefore examine:

• Current competition;
• Potential competition;
• Innovation competition;
• Access to important data;
• Future market expansion.

This is especially relevant to AI-powered learning platforms.

24. Consumer Welfare

Competition law generally seeks to protect the competitive process and consumer welfare.

For lifelong learning, relevant effects may include:

Price

• Subscription prices;
• Course prices;
• Certification fees.

Quality

• Educational quality;
• Instructor quality;
• Reliability.

Choice

• Number of courses;
• Number of instructors;
• Variety of educational approaches.

Innovation

• AI tutoring;
• Personalized education;
• New certification models;
• New assessment methods.

Privacy

The handling of learner data may also become relevant where privacy is an important dimension of competition.

25. Barriers to Entry

A dominant lifelong-learning platform may be difficult to challenge because of:

• Network effects;
• Large course libraries;
• Brand recognition;
• Accreditation;
• User data;
• Switching costs;
• Exclusive agreements;
• Marketing scale;
• Employer partnerships;
• AI infrastructure.

The greater these barriers, the greater the potential importance of examining exclusionary conduct.

26. Defences and Efficiency Justifications

A platform accused of anticompetitive conduct may argue that its practices produce legitimate efficiencies.

For example:

Exclusivity

May prevent free-riding and encourage investment in high-quality courses.

Algorithmic ranking

May improve user experience and reduce low-quality content.

Data collection

May improve personalization.

Bundling

May lower overall costs for learners.

Discounts

May encourage participation and reduce acquisition costs.

Competition authorities therefore need to distinguish legitimate platform efficiencies from exclusionary strategies.

27. Competition Law and Educational Quality

An important characteristic of lifelong learning is that competition does not operate exclusively through price.

A platform could potentially harm competition by reducing:

• Course quality;
• Instructor independence;
• Certification standards;
• Privacy;
• Innovation;
• Diversity of educational content.

Therefore, quality and innovation may be important competitive parameters.

28. Remedies

Where competition authorities establish an infringement, possible remedies can include:

Structural remedies

• Divestiture;
• Separation of businesses.

Behavioral remedies

• Ending exclusivity;
• Changing ranking practices;
• Providing fair access;
• Removing discriminatory conditions.

Interoperability

Authorities may require systems to interact where appropriate.

Data-related remedies

Potential measures include:

• Data portability;
• Access obligations;
• Restrictions on combining datasets.

Monetary penalties

Competition authorities may impose fines where permitted by applicable law.

29. Compliance Framework for Lifelong-Learning Platforms

A platform should maintain competition-law compliance policies covering:

1. Market-share monitoring;
2. Exclusive contracts;
3. MFN clauses;
4. Self-preferencing;
5. Algorithmic ranking;
6. Pricing practices;
7. Data practices;
8. Acquisitions;
9. Access conditions;
10. Relations with instructors;
11. Relations with universities;
12. Internal communications concerning competitors.

Special care should be taken where the platform is simultaneously:

marketplace + content provider + certification provider + data controller.

That combination can create significant conflicts of interest.

30. Key Case-Law Table

31. Exam-Oriented Key Points

Lifelong-learning platform market power may arise from:

• Network effects
• Data advantages
• Switching costs
• Brand recognition
• Accreditation
• Economies of scale
• Exclusive content
• Employer partnerships

Main competition concerns:

• Abuse of dominance
• Exclusive dealing
• MFN clauses
• Self-preferencing
• Predatory pricing
• Tying and bundling
• Refusal to deal
• Discriminatory access
• Algorithmic exclusion
• Anticompetitive acquisitions

Main competitive parameters:

• Price
• Quality
• Choice
• Innovation
• Privacy
• Accessibility

Important cases:

1. United Brands v Commission
2. Hoffmann-La Roche v Commission
3. Google Shopping
4. Intel v Commission
5. Qualcomm v Commission
6. United States v Microsoft
7. Ohio v American Express
8. FTC v Qualcomm

Conclusion

Competition law and lifelong-learning platform market power intersect at the point where digital scale, network effects, data, educational content and platform control can affect competitive conditions. A large learning platform is not unlawful merely because it is successful or has a high market share. The central questions are whether it possesses substantial market power, how that power was acquired or maintained, and whether its conduct restricts the competitive process.

The most important competition-law risks are exclusive dealing, self-preferencing, discriminatory platform access, loyalty restrictions, tying, algorithmic foreclosure, data advantages and acquisitions of emerging competitors. Cases such as United Brands, Hoffmann-La Roche, Google Shopping, Intel, Microsoft and Ohio v American Express provide useful legal frameworks for analysing these issues.