Competition Law and Adaptive Market Power Assessment Methodologies

1. Introduction

Adaptive market power assessment means assessing whether an undertaking can exercise significant economic power by using a methodology that can change according to the characteristics and evolution of the market.

Traditional competition law often begins with three questions:

1. What is the relevant market?
2. Does the undertaking possess market power or dominance?
3. Has that power been used in a way that harms competition?

An adaptive approach does not rely on a single indicator such as market share. Instead, it combines market shares, barriers to entry, switching costs, network effects, buyer power, innovation, data advantages, vertical integration, potential competition, pricing evidence and actual competitive effects.

This is particularly important in digital and technology markets, where market conditions can change rapidly and services may be offered at zero monetary prices.

Under Indian competition law, the CCI itself states that dominance assessment can involve multiple factors, while its economic analysis can use tools such as concentration ratios, HHI, diversion ratios and churn rates.

2. Meaning of Market Power

Market power generally refers to the ability of an undertaking to behave to an appreciable extent independently of competitive constraints.

The classic formulation comes from United Brands, where the EU Court described dominance as a position of economic strength enabling an undertaking to prevent effective competition and behave to an appreciable extent independently of competitors, customers and consumers.

Market power therefore does not necessarily mean:

• monopoly;
• 100% market share;
• ability to charge extremely high prices;
• absence of competitors.

A firm may possess substantial market power even when competitors remain present.

3. Why an Adaptive Methodology Is Necessary

A static market-power analysis can become inaccurate when market conditions change.

For example, suppose a digital platform has:

• 45% market share today;
• strong network effects;
• very high user switching costs;
• large amounts of commercially valuable data;
• rapidly increasing usage;
• strong ecosystem integration.

A simple market-share analysis may underestimate its competitive position.

Conversely, a company with 70% market share may have relatively weak market power if:

• entry is easy;
• customers can switch quickly;
• products are highly substitutable;
• technology is changing rapidly;
• competitors can expand quickly.

Therefore:

Market share is evidence of market power, not necessarily a complete measure of market power.

The CCI similarly recognizes that market share must be assessed together with other factors such as competitors' size, consumer dependence, entry barriers and resources.

4. Core Components of Adaptive Market Power Assessment

A. Relevant Market Definition

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

Factors can include:

• product characteristics;
• intended use;
• consumer preferences;
• price;
• availability of substitutes;
• geographic conditions;
• transportation costs;
• regulatory restrictions;
• distribution systems.

Indian law expressly provides factors for determining relevant product and geographic markets under Sections 19(5)–19(6) of the Competition Act.

The CCI explains that market definition may require both quantitative and qualitative analysis.

Adaptive element

The relevant market should not automatically be copied from an earlier case.

A market can evolve because:

• technology changes;
• new substitutes emerge;
• consumer behaviour changes;
• platforms converge;
• products become multifunctional;
• geographic boundaries become less important.

5. SSNIP and Its Limitations

The traditional economic approach frequently uses the SSNIP test:

Small but Significant and Non-transitory Increase in Price.

The question is essentially whether customers would switch to alternatives following a hypothetical price increase.

However, the methodology becomes more complicated where:

• the product is free;
• payment is made through personal data;
• services operate on multiple sides of a platform;
• quality rather than price is the main competitive variable;
• innovation is more important than current price.

Adaptive alternative

Authorities can examine hypothetical changes in:

• price;
• quality;
• privacy;
• advertising load;
• functionality;
• switching costs;
• data collection.

Thus, competition analysis can become a multi-dimensional substitution analysis rather than a purely price-based analysis.

6. Market Share Analysis

Market share remains an important starting point.

Common measurements include:

Market-share percentage

Market Share=Firm′s SalesTotal Market Sales×100Market\ Share = \frac{Firm's\ Sales}{Total\ Market\ Sales}\times100

HHI

HHI=∑si2HHI=\sum s_i^2

where sis_i represents each firm's market share.

The CCI specifically identifies CR3, CR4 and HHI as quantitative tools and also refers to diversion ratios and churn rates.

But adaptive assessment asks a further question:

How durable is the market share?

A 60% share may mean something very different in:

• a mature regulated utility;
• a rapidly changing technology market;
• a platform market with powerful network effects.

7. Barriers to Entry

Entry barriers are central to determining whether market power can persist.

They may include:

Structural barriers

• economies of scale;
• infrastructure requirements;
• scarce resources;
• high fixed costs.

Legal barriers

• licensing;
• regulation;
• intellectual-property restrictions.

Strategic barriers

• exclusive contracts;
• loyalty arrangements;
• control over distribution.

Digital barriers

• network effects;
• accumulated data;
• interoperability restrictions;
• ecosystem dependence;
• default settings;
• switching costs.

An adaptive analysis asks whether these barriers are:

temporary, increasing, decreasing or becoming obsolete.

8. Network Effects

Network effects can dramatically change market power.

A service becomes more valuable as more users join it.

Examples include:

• communication platforms;
• social networks;
• payment systems;
• marketplaces.

This can produce a feedback loop:

More users → greater value → more users → stronger position.

Therefore, a current market share may not fully capture future competitive strength.

The CCI has recognized the importance of dynamic characteristics in platform markets when examining competition issues.

9. Switching Costs

Switching costs represent the economic or practical difficulty of moving from one provider to another.

They may include:

• financial costs;
• loss of data;
• loss of contacts;
• learning costs;
• contractual restrictions;
• loss of accumulated reputation;
• incompatibility with other services.

An adaptive methodology therefore measures not simply:

"How many customers are there?"

but also:

"How easily can those customers leave?"

10. Countervailing Buyer Power

A large seller may not possess significant market power if powerful customers can effectively constrain it.

Assessment can therefore examine:

• size of customers;
• alternative suppliers;
• ability to switch;
• ability to sponsor new entry;
• ability to negotiate prices;
• procurement sophistication.

The CCI expressly considers countervailing power in combination analysis.

11. Innovation as a Dimension of Market Power

Traditional competition analysis frequently focuses on price and output.

Adaptive assessment also considers:

• R&D capability;
• patents;
• technological advantages;
• product-development speed;
• innovation pipelines;
• ability to introduce new products.

A firm may have a relatively modest current market share but possess substantial competitive significance because of its innovation capability.

Conversely, a large incumbent can potentially weaken future competition by restricting innovation by rivals.

12. Data as a Source of Market Power

In digital markets, data may provide an important competitive advantage.

Relevant questions include:

• How much data does the undertaking possess?
• Is the data unique?
• Can competitors obtain comparable data?
• Does more data improve the service?
• Does the data create network effects?
• Can consumers transfer their data?
• Can competitors access essential business-user information?

Thus, data should not automatically be treated as market power.

Its importance depends on whether the data creates a material and durable competitive advantage.

13. Quality-Based Competition

When monetary price is zero, price-based analysis becomes less informative.

Authorities may instead examine:

• quality;
• privacy;
• security;
• functionality;
• advertising intensity;
• service reliability;
• user experience.

For example:

Price = ₹0

does not mean:

Competitive constraint = zero.

Users may "pay" through attention, personal information or exposure to advertising.

14. Dynamic Competitive Constraints

Adaptive analysis examines both existing competitors and future competitors.

Important questions include:

• Can new firms enter quickly?
• Can existing firms expand?
• Can customers switch?
• Can technology eliminate the incumbent's advantage?
• Can adjacent markets discipline the undertaking?
• Can innovation make the existing market definition obsolete?

This is particularly relevant to technology markets.

15. Actual Effects and Potential Effects

Competition authorities can examine:

Actual effects

• price increases;
• output reductions;
• loss of competitors;
• reduced innovation;
• deterioration of quality;
• reduced consumer choice.

Potential effects

• likely foreclosure;
• future entry prevention;
• weakening of competitors;
• increased switching costs;
• suppression of innovation.

The Google Shopping litigation is particularly relevant because the EU courts examined potential anticompetitive effects and the relationship between Google's conduct and competitive harm.

16. Adaptive Counterfactual Analysis

A counterfactual asks:

What would the market look like if the disputed conduct had not occurred?

This can be particularly useful where market conditions are changing.

Possible counterfactuals include:

• without an exclusivity agreement;
• without a tying arrangement;
• without self-preferencing;
• without restricted interoperability;
• without a merger;
• without discriminatory access.

The counterfactual can then be compared with the observed market.

However, the appropriate counterfactual depends on the particular case and available evidence.

17. Econometric and Quantitative Techniques

Adaptive market-power analysis can employ:

HHI

Measures market concentration.

Diversion ratio

Measures where customers would move if a product became less attractive.

Critical loss analysis

Examines how much sales could be lost before a price increase becomes unprofitable.

Price correlation

Examines relationships between prices across geographic or product markets.

Demand estimation

Measures consumer responsiveness to price or quality changes.

Event studies

Examines market reactions following an event such as:

• merger announcement;
• entry;
• exit;
• regulatory intervention.

Churn analysis

Measures customer movement between providers.

The CCI confirms that such quantitative tools can be used alongside qualitative evidence.

18. Six Major Case Laws

Case 1 — United Brands v Commission

Case 27/76, United Brands v Commission (1978)

This is one of the foundational cases on dominance and relevant-market analysis.

The Court emphasized that market conditions must be evaluated within a defined product and geographic market. It also stated that dominance is a position of economic strength allowing an undertaking to behave to an appreciable extent independently of competitors, customers and consumers.

Importance for adaptive assessment

The case demonstrates that dominance cannot be determined by one statistic alone.

Relevant factors can include:

• market share;
• competitive structure;
• substitutability;
• geographic conditions;
• economic strength.

Case 2 — Hoffmann-La Roche v Commission

Case 85/76, Hoffmann-La Roche v Commission (1979)

The Court treated substantial market share as an important indicator but emphasized that dominance is fundamentally about economic strength and the ability to operate independently of competitive constraints.

Importance

It supports a multi-factor approach.

Market share is evidence, but authorities can also examine:

• competitors;
• technological advantages;
• distribution networks;
• barriers;
• potential competition.

This is an important foundation for modern adaptive market-power assessment.

Case 3 — AKZO Chemie v Commission

Case C-62/86, AKZO Chemie v Commission (1991)

AKZO concerned predatory pricing.

The Court developed important cost-based principles for determining when below-cost pricing by a dominant undertaking may constitute abuse.

Importance

The case illustrates how market-power analysis can incorporate economic evidence, rather than relying solely on market shares.

Relevant evidence can include:

• pricing;
• costs;
• pricing strategy;
• competitive circumstances;
• exclusionary purpose/effect.

It therefore demonstrates the importance of adapting the assessment to the conduct being investigated.

Case 4 — Intel v Commission

Case C-413/14 P, Intel v Commission

Intel concerned conditional rebates granted by a dominant undertaking.

The later EU litigation emphasized the importance of examining the circumstances and possible exclusionary effects of rebate schemes. The case became particularly important for the use of economic evidence, including the as-efficient-competitor (AEC) test, in appropriate circumstances.

Importance

Intel demonstrates that assessment may need to examine:

• rebate structure;
• coverage;
• duration;
• competitor ability to compete;
• foreclosure capability;
• pricing economics.

Therefore, an adaptive methodology can move from a simple "dominant firm + rebate" analysis toward a more economically detailed effects assessment where legally required.

Case 5 — Post Danmark

Case C-23/14, Post Danmark v Konkurrencerådet (2015)

The case concerned a rebate scheme operated by a dominant undertaking.

The Court stated that assessment of possible exclusionary effects requires consideration of all the circumstances of the case, including the rules governing the rebate and the relevant market conditions.

Importance

This is particularly relevant to adaptive methodologies because it shows that:

The competitive assessment must respond to the actual structure and circumstances of the market.

Relevant factors can include:

• market coverage;
• duration;
• rebate structure;
• competitor position;
• customer behaviour;
• exclusionary capability.

Case 6 — Google Shopping

Case T-612/17, Google and Alphabet v Commission (2021), with appeal Case C-48/22 P (2024)

Google Shopping concerned Google's treatment of competing comparison-shopping services.

The General Court upheld the Commission's finding that Google had abused its dominant position by favouring its own comparison-shopping service in general search results.

The 2024 Court of Justice judgment addressed issues including:

• potential anticompetitive effects;
• causal connection;
• burden of proof;
• counterfactual analysis;
• capability of foreclosure;
• AEC considerations. 

Importance

Google Shopping demonstrates why digital-market assessment may need to consider:

• platform architecture;
• algorithms;
• visibility;
• traffic;
• network effects;
• access conditions;
• self-preferencing;
• competitive foreclosure.

It therefore represents a particularly important example of adaptive assessment in a digital ecosystem.

19. Indian Perspective

The Indian Competition Act, 2002 provides a particularly broad framework for assessing dominance.

Section 19(4) permits the CCI to consider multiple factors, including:

• market share;
• size and resources;
• importance of competitors;
• economic power;
• vertical integration;
• consumer dependence;
• entry barriers;
• countervailing buying power;
• market structure;
• market size.

The CCI itself explains that dominance is assessed through a combination of relevant factors rather than a fixed market-share threshold.

This makes the Indian framework naturally compatible with an adaptive methodology.

20. WhatsApp / Facebook Digital-Market Example

In In Re: Updated Terms of Service and Privacy Policy for WhatsApp Users, the CCI examined the competitive implications of WhatsApp's terms and privacy-policy changes. The CCI's proceedings include Case No. 01/2021 and related matters.

Earlier Indian proceedings concerning WhatsApp also illustrate how digital communications markets may require specialized market definition. In Case No. 99 of 2016, the CCI identified a relevant market around instant messaging services using consumer communication apps through smartphones, distinguishing these services from traditional telecommunications based on functionality, technology and pricing conditions.

Adaptive significance

This illustrates why conventional market boundaries may not be sufficient for digital services.

Assessment can require consideration of:

• functionality;
• network effects;
• user dependence;
• privacy;
• data;
• switching;
• multi-sided platforms.

21. Adaptive Market Power Assessment Framework

A practical analytical model can be structured as follows:

Stage 1 — Define the market

Identify:

• product/service;
• geography;
• substitutes;
• customer groups;
• platform sides.

↓

Stage 2 — Measure current market position

Examine:

• market share;
• HHI;
• CR3/CR4;
• sales;
• users;
• transaction volume.

↓

Stage 3 — Measure durability

Examine:

• entry barriers;
• switching costs;
• network effects;
• data advantages;
• intellectual property;
• infrastructure;
• ecosystem dependence.

↓

Stage 4 — Examine competitive constraints

Assess:

• existing competitors;
• potential entrants;
• buyer power;
• imports;
• adjacent markets;
• innovation.

↓

Stage 5 — Examine conduct

Depending on the case:

• pricing;
• rebates;
• tying;
• bundling;
• refusal to deal;
• self-preferencing;
• exclusivity;
• discriminatory access;
• interoperability restrictions.

↓

Stage 6 — Measure effects

Examine:

• foreclosure;
• price;
• quality;
• output;
• innovation;
• consumer choice;
• competitor access.

↓

Stage 7 — Test alternative scenarios

Use:

• counterfactuals;
• econometric evidence;
• diversion analysis;
• customer surveys;
• switching data;
• entry scenarios.

↓

Stage 8 — Reassess dynamically

Ask:

Would the conclusion remain the same if technology, consumer behaviour, entry conditions or competitive structure changed?

This final step is what makes the methodology adaptive.

22. Static vs Adaptive Market Power Assessment

23. Advantages

Adaptive assessment can:

1. capture rapidly changing markets;
2. reduce overreliance on market share;
3. recognize innovation competition;
4. account for digital network effects;
5. incorporate switching costs;
6. measure potential competition;
7. examine non-price competition;
8. better address multi-sided platforms;
9. incorporate quantitative and qualitative evidence;
10. distinguish temporary market success from durable market power.

24. Challenges

Adaptive assessment also creates difficulties.

A. Measurement problems

Data on:

• quality;
• innovation;
• privacy;
• network effects

can be difficult to quantify.

B. Prediction uncertainty

Future market conditions cannot be known with certainty.

C. Market-definition complexity

Digital firms may simultaneously operate across several interconnected markets.

D. Data limitations

Authorities may lack sufficient real-time information.

E. Risk of excessive complexity

An assessment containing too many variables may become difficult to explain and reproduce.

F. Legal certainty

Businesses need reasonably predictable standards for determining when conduct may attract competition-law scrutiny.

25. Relationship with Merger Analysis

Adaptive market-power assessment is especially important in merger control.

A merger may be problematic even if the parties' current market shares appear moderate where the transaction removes:

• an important potential competitor;
• an innovative firm;
• an emerging technology;
• an important source of data;
• a future disruptive competitor.

The CCI's combination framework expressly considers factors such as potential competition, entry barriers, countervailing power, substitutes, market shares, removal of a vigorous competitor, vertical integration and innovation.

26. Relationship with Digital Markets

Digital markets make adaptive assessment particularly important because they frequently involve:

• zero monetary prices;
• multi-sided platforms;
• network effects;
• data accumulation;
• algorithmic decision-making;
• ecosystem integration;
• high switching costs;
• rapid innovation;
• interoperability issues.

Consequently, market power cannot always be understood simply as the ability to increase monetary prices.

The relevant question may instead be whether the undertaking can materially reduce competitive constraints in another dimension, such as:

quality + privacy + innovation + access + choice + data + visibility.

27. Key Legal Principle

The central idea can be expressed as:

Market power is a dynamic economic condition rather than merely a numerical market-share figure.

A robust competition-law assessment therefore combines:

**Market definition

• Market share
• Barriers
• Switching costs
• Network effects
• Buyer power
• Innovation
• Data advantages
• Potential competition
• Conduct
• Actual/potential effects
• Counterfactual analysis.**

28. Conclusion

Adaptive Market Power Assessment Methodologies represent a move from a purely static analysis toward a dynamic, evidence-based and multi-factor assessment of competitive constraints.

The traditional indicators—especially market share and concentration—remain important. But they should be interpreted alongside the conditions that determine whether market power is contestable, durable and capable of being exercised.

The case law from United Brands, Hoffmann-La Roche, AKZO, Intel, Post Danmark and Google Shopping demonstrates the evolution from traditional market-power indicators toward increasingly sophisticated assessments involving economic circumstances, competitive effects and market-specific conditions.

In the Indian context, the statutory framework is already substantially multi-factor: the CCI can consider market shares together with resources, competitors, consumer dependence, entry barriers, countervailing power and other relevant conditions.

Thus, the principal objective of an adaptive methodology is not to abandon traditional market-power analysis, but to make it responsive to changing technology, consumer behaviour, competitive structures and forms of non-price competition.