Competition Law and Benchmark Platform Concentration Concerns

Introduction

Benchmark platform concentration refers to competition concerns arising when a digital platform becomes an important reference point—or “benchmark”—for prices, rankings, performance standards, access conditions, quality metrics, or commercial terms across a market.

A platform can acquire substantial market power through network effects, economies of scale, data accumulation, switching costs, ecosystem integration, interoperability advantages, and control over an important digital interface. Once competitors, suppliers, advertisers, or customers depend upon the platform's benchmarks, the benchmark itself can become a mechanism through which market power is reinforced.

Competition law therefore examines whether benchmarking is merely a legitimate efficiency-enhancing practice or whether it facilitates coordination, exclusion, self-preferencing, discriminatory access, margin pressure, or the entrenchment of platform dominance.

1. Meaning of Benchmark Platform Concentration

A platform may function as a benchmark in several ways:

1. Price benchmark – the platform's prices become the reference point for competing sellers.
2. Ranking benchmark – its ranking system determines visibility and commercial success.
3. Quality benchmark – its standards become the de facto industry standard.
4. Performance benchmark – suppliers are evaluated against platform-generated metrics.
5. Access benchmark – participation conditions imposed by the platform become industry norms.
6. Data benchmark – accumulated platform data enables the dominant platform to measure competitors and market conditions.
7. Algorithmic benchmark – algorithmically generated prices or recommendations influence competitors' behaviour.
8. Interoperability benchmark – technical specifications controlled by a platform become essential for market participation.

The competition-law problem becomes more serious where the platform simultaneously acts as:

market intermediary + rule setter + data controller + benchmark provider + competitor.

2. Why Platform Concentration Creates Competition Concerns

A. Network Effects

A platform becomes more valuable as more users join it.

This can produce a self-reinforcing cycle:

More users → more transactions → more data → better algorithms → greater attractiveness → more users

Eventually, competitors may find it difficult to reach sufficient scale.

B. Data Advantages

A benchmark platform may possess information concerning:

• prices;
• consumer preferences;
• supplier performance;
• transaction volumes;
• conversion rates;
• search behaviour;
• advertising effectiveness;
• inventory;
• competitor activity.

The platform can use this information to improve its own services or potentially compete against businesses dependent upon it.

C. Switching Costs

Users may become locked into:

• accounts;
• loyalty programmes;
• payment systems;
• accumulated data;
• ratings and reviews;
• subscriptions;
• software integrations.

This reduces competitive pressure even if alternative platforms technically exist.

D. Multi-Sided Market Effects

Platforms frequently serve several groups simultaneously:

Consumers ↔ Platform ↔ Sellers ↔ Advertisers ↔ Service providers

Conduct that benefits one side can adversely affect another.

3. Relevant Competition-Law Theories

A. Abuse of Dominance

Where the platform possesses dominance, competition authorities may investigate:

• exclusionary conduct;
• discriminatory access;
• tying and bundling;
• refusal to deal;
• self-preferencing;
• excessive or unfair conditions;
• exploitative data practices;
• discriminatory rankings.

In the EU, the principal framework is Article 102 TFEU.

In India, the relevant provisions are primarily Sections 4, 19 and 26 of the Competition Act, 2002.

In the United States, analogous issues may arise under Sections 1 and 2 of the Sherman Act and Section 7 of the Clayton Act for concentrations.

4. Benchmarking and Facilitated Coordination

A particularly important concern is that a dominant platform's benchmark can make coordination easier.

Suppose several sellers use the same platform's pricing algorithm.

The sequence could be:

Common algorithm → common pricing information → increased transparency → reduced uncertainty → parallel pricing

Parallel conduct by itself does not necessarily establish an infringement. Competition authorities would need to examine evidence of an agreement, concerted practice, information exchange, algorithmic coordination, or unilateral exclusionary conduct depending upon the applicable jurisdiction.

5. Algorithmic Benchmarking

Modern platforms may automatically generate benchmarks using algorithms.

Examples include:

• recommended prices;
• surge prices;
• advertising bids;
• delivery charges;
• hotel rates;
• marketplace commissions;
• search rankings.

The competition concern increases when competitors rely upon the same algorithm or platform-controlled information.

Example

Ten competing sellers independently submit prices to a dominant marketplace.

The marketplace algorithm observes all prices and recommends a common price.

If sellers systematically follow those recommendations, the platform can potentially become an important mechanism for reducing independent competitive decision-making.

6. Self-Preferencing and Benchmark Manipulation

A platform may establish a benchmark that favours its own downstream service.

For example:

Platform establishes ranking criteria → platform-owned product satisfies those criteria → platform-owned product receives greater visibility → rivals lose traffic → platform gains additional data → platform becomes even stronger.

This creates a potential vertical foreclosure problem.

The key question is whether the benchmark is genuinely neutral or has been designed or applied in a discriminatory manner.

7. Benchmark Access and Discrimination

A dominant platform may provide different benchmark information to different participants.

Potential concerns include:

• giving superior data to affiliated businesses;
• restricting API access;
• withholding ranking information from competitors;
• charging discriminatory access fees;
• providing interoperability only selectively;
• changing technical standards selectively.

Where access to the benchmark is commercially important, refusal or discriminatory access can become an important competition-law issue.

8. Merger and Acquisition Concerns

Platform concentration can also arise through acquisitions.

A large platform may acquire:

• emerging competitors;
• complementary platforms;
• data providers;
• benchmarking services;
• analytics companies;
• advertising technology businesses;
• interoperability providers.

Even where the target has modest current revenue, its data, innovation potential, technology, or future competitive significance may be relevant.

Competition authorities therefore increasingly examine whether a transaction eliminates a potential competitive constraint.

9. Important Case Laws

The following cases illustrate different aspects of platform concentration, benchmarking, data advantages, interoperability and digital-market power.

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

Facts

Microsoft possessed a dominant position in PC operating systems and was alleged to have engaged in conduct designed to protect that position against emerging competitive threats, particularly browser competition.

Competition-law significance

The case demonstrated that a dominant technology platform can use control over an important technological layer to restrict competition in adjacent markets.

Relevance to benchmark platforms

A platform can become an important technological or commercial reference point. Control over that reference point can allow the incumbent to influence downstream competition.

Principle

Dominance at one technological level can be leveraged to protect or extend market power into related markets.

2. Google Search (Shopping) – European Commission, Case AT.39740

Facts

The European Commission examined Google's treatment of its comparison-shopping service in general search results.

The Commission concluded that Google systematically favoured its own comparison-shopping service while applying less favourable treatment to competing comparison-shopping services.

Competition significance

The case is important for understanding:

• self-preferencing;
• search rankings;
• platform gatekeeping;
• discrimination between affiliated and independent businesses.

Relevance

Where a platform controls the benchmark for visibility or ranking, manipulation of that benchmark can potentially disadvantage rivals.

3. Google Android – European Commission, Case AT.40099

Facts

The European Commission examined Google's conduct concerning Android, including contractual arrangements involving Google Search, Chrome and application stores.

Competition significance

The case illustrates how a platform ecosystem can reinforce market power through:

• tying;
• contractual restrictions;
• ecosystem integration;
• control of distribution channels.

Relevance

A benchmark platform may not operate as a single service. Its power can arise from an interconnected ecosystem.

4. Google Android Auto – European Commission, Case AT.40452

Facts

The Commission investigated Google's restrictions concerning Android Auto and third-party applications.

Competition significance

The case illustrates the importance of interoperability and access where a dominant digital ecosystem controls an interface through which complementary services reach users.

Relevance

If a platform establishes the technical benchmark for interoperability but restricts rival access, competition may be weakened in adjacent markets.

5. FTC v. Amazon.com, Inc. – U.S. District Court for the Western District of Washington

Facts

The U.S. Federal Trade Commission and state plaintiffs challenged various alleged practices concerning Amazon's online marketplace and ecosystem.

The allegations included practices concerning seller relationships, pricing, marketplace visibility and other mechanisms affecting competition.

Competition significance

The litigation illustrates modern concerns about a platform simultaneously operating as:

• marketplace;
• retailer;
• service provider;
• data intermediary;
• rule setter.

Relevance

Where a marketplace controls important commercial benchmarks while competing against businesses using that marketplace, conflicts of interest and foreclosure concerns can arise.

6. Epic Games, Inc. v. Apple Inc., 67 F.4th 946 (9th Cir. 2023)

Facts

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

The litigation examined Apple's control over the iOS ecosystem and restrictions affecting developers.

Competition significance

The case illustrates the competition-law significance of:

• platform access;
• payment restrictions;
• ecosystem control;
• distribution bottlenecks;
• switching costs.

Relevance

A platform that establishes the commercial and technical conditions for participation can become a powerful benchmark for downstream businesses.

7. Epic Games, Inc. v. Google LLC – U.S. District Court, Northern District of California

Facts

Epic challenged Google's practices concerning Android application distribution, billing and agreements with ecosystem participants.

Competition significance

The case demonstrates how platform concentration can involve several interconnected layers:

Operating system → app store → payment system → developer distribution

Relevance

When one platform controls multiple layers, the benchmark conditions at one layer may influence competitive conditions throughout the ecosystem.

8. FTC v. Facebook, Inc. / Meta Platforms Litigation

Facts

The FTC challenged Meta's acquisitions of Instagram and WhatsApp, alleging that the acquisitions contributed to the preservation of monopoly power in personal social networking.

Competition significance

The case highlights the importance of:

• network effects;
• data;
• potential competition;
• acquisitions by dominant platforms;
• ecosystem expansion.

Relevance

Benchmark platform concentration can arise not only organically but also through acquisitions of businesses that could otherwise constrain the incumbent.

9. United States v. Google LLC – Search and Advertising Litigation

The U.S. government's antitrust litigation concerning Google provides another important framework for analysing platform power.

The cases address Google's position in digital search and advertising markets and allegations concerning exclusionary conduct and control of important digital distribution channels.

Relevance

Search rankings, default arrangements, advertising technology and access to users can collectively reinforce platform concentration.

10. Competition Commission of India v. Google – Android

The Competition Commission of India examined Google's conduct concerning the Android ecosystem.

The decision addressed several practices involving:

• search;
• application stores;
• browser distribution;
• payment-related arrangements;
• restrictions affecting competing services.

Competition significance

The case illustrates how Indian competition law approaches ecosystem-based digital dominance.

Relevance

Platform concentration must be analysed across interconnected markets rather than necessarily treating each digital service as completely isolated.

11. CCI – Google Play Billing System

The Competition Commission of India separately examined Google's Play Store billing arrangements.

Competition significance

The matter demonstrates the importance of:

• platform access;
• mandatory payment mechanisms;
• commissions;
• ecosystem dependency;
• discriminatory or restrictive conditions.

Relevance

Where the dominant platform controls the commercial benchmark for access to users, its terms can affect competition among downstream businesses.

12. EU Commission – Amazon Marketplace

European Commission proceedings concerning Amazon's use of marketplace data examined the relationship between Amazon's role as marketplace operator and its activities as a retailer.

Competition significance

The central concern involved the possibility that a platform could use non-public marketplace information generated by independent sellers to compete against those sellers.

Relevance

This is particularly important for data-based benchmarking:

Sellers generate data → platform collects data → platform obtains market intelligence → platform competes with sellers.

Such information advantages can reinforce platform concentration.

10. Benchmark Platform Concentration: Main Competition Risks

11. Market Definition

A competition authority must determine the relevant market or markets.

Potential markets include:

Product markets

• online marketplaces;
• digital advertising;
• app distribution;
• payment processing;
• search services;
• cloud services;
• comparison-shopping;
• food-delivery platforms;
• mobility platforms;
• digital financial services.

Geographic market

Depending on the service, the market could be:

• national;
• regional;
• EU-wide;
• global;
• platform-specific.

The analysis should account for multi-sidedness.

For example:

Consumers may receive a service free of monetary charge while advertisers pay the platform.

Therefore, price alone may not adequately capture competitive conditions.

12. Measuring Platform Concentration

Traditional concentration measures can be supplemented by digital-market indicators.

HHI

The Herfindahl-Hirschman Index is:

HHI=∑si2HHI=\sum s_i^2

where sis_i represents each firm's market share.

But platform markets require additional analysis.

Other indicators

• number of active users;
• transaction volume;
• seller dependence;
• switching rates;
• multi-homing;
• traffic share;
• advertising share;
• data access;
• API dependency;
• default status;
• ecosystem integration;
• network effects.

A platform with moderate market share may nevertheless possess substantial strategic control if competitors depend upon its infrastructure.

13. The Role of Multi-Homing

Multi-homing occurs when users participate on several platforms.

Example:

A seller may simultaneously use:

• Amazon;
• Walmart Marketplace;
• eBay;
• its own website.

Multi-homing can reduce platform power.

However, if the dominant platform imposes:

• parity clauses;
• exclusivity;
• high switching costs;
• technical restrictions;
• loyalty incentives,

multi-homing may become less effective as a competitive constraint.

14. Benchmarking and Information Exchange

Competition law distinguishes legitimate benchmarking from anticompetitive information exchange.

Legitimate benchmarking

Businesses may compare:

• productivity;
• quality;
• energy consumption;
• safety;
• logistics performance.

Such benchmarking can improve efficiency.

Potentially problematic benchmarking

Risks increase where information concerns:

• future prices;
• output plans;
• commercially sensitive strategies;
• customer allocation;
• production volumes.

The assessment depends on the nature, timing, aggregation, transparency and competitive significance of the information.

15. Remedies

Where platform concentration creates competition concerns, possible remedies include:

Structural remedies

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

Behavioural remedies

• non-discrimination;
• transparent ranking rules;
• interoperability;
• API access;
• data portability;
• data-use restrictions;
• prohibition of self-preferencing;
• restrictions on exclusivity;
• fair access obligations.

Procedural remedies

• independent monitoring;
• compliance reporting;
• algorithmic audits;
• dispute-resolution mechanisms.

16. Key Analytical Test

A useful framework is:

Step 1 – Identify the platform

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Step 2 – Determine the relevant market

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Step 3 – Measure platform power

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Step 4 – Identify network effects and switching costs

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Step 5 – Examine benchmark function

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Step 6 – Determine whether the platform controls critical data or access

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Step 7 – Examine self-preferencing/discrimination

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Step 8 – Examine algorithmic coordination risks

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Step 9 – Examine exclusionary or exploitative effects

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Step 10 – Consider efficiencies and objective justifications

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Step 11 – Assess competitive effects

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Step 12 – Select proportionate remedies

17. Distinction Between Legitimate Benchmarking and Anticompetitive Benchmarking

The existence of a benchmark does not itself establish an antitrust infringement. The surrounding market structure, conduct, effects and applicable legal test remain critical.

18. Key Case-Law Principles

The cases collectively illustrate several recurring principles:

1. Microsoft – technological control can be used to protect an existing dominant position.
2. Google Shopping – search and ranking systems can become instruments of self-preferencing.
3. Google Android – ecosystem integration can reinforce dominance through contractual restrictions.
4. Google Android Auto – interoperability can be important where a dominant ecosystem controls access.
5. Epic v Apple – control over app distribution and payment infrastructure can generate significant competitive issues.
6. Epic v Google – several interconnected platform layers can reinforce market power.
7. Meta/Facebook litigation – acquisitions can be examined for their effects on potential competition and network-effect markets.
8. Amazon marketplace proceedings – platform-generated data can create competitive advantages when the platform also competes with dependent businesses.
9. CCI Google Android – Indian competition law can examine digital ecosystems through interconnected markets.
10. CCI Google Play Billing – control over access and payment infrastructure can affect downstream competition.

Conclusion

Benchmark platform concentration is a distinctive digital competition problem because the platform may simultaneously establish the benchmark, collect the data used to create it, control access to it, and compete against the businesses evaluated by it.

Competition law therefore needs to examine more than market share. The relevant questions include:

• Who controls the benchmark?
• Who supplies the underlying data?
• Can rivals access the benchmark on equivalent terms?
• Does the platform favour its own services?
• Does the benchmark facilitate coordination?
• Are users and suppliers genuinely able to switch?
• Does the platform use its information advantage to compete against dependent businesses?
• Does an acquisition eliminate a potential competitive constraint?
• Are interoperability and access conditions neutral?

The central issue is not whether a platform is large, but whether its benchmark-setting and ecosystem control substantially reduce the ability or incentive of other firms to compete independently under the applicable competition-law framework.