1. Introduction

Competition Law and Technology Ecosystem Measurements refers to the use of legal, economic, technological, and market indicators to evaluate competition across interconnected digital markets. These ecosystems may include search engines, social media platforms, online marketplaces, mobile operating systems, app stores, digital payments, cloud computing, digital advertising, artificial intelligence, and data-driven services.

Unlike traditional markets, technology ecosystems often consist of multiple interconnected services controlled by one or a few major firms. A company may operate an operating system, an app store, a payment service, an advertising network, and a cloud platform simultaneously. Its position in one market can influence its competitive strength in another.

Competition authorities therefore need more than conventional indicators such as prices and market shares. They must examine network effects, switching costs, interoperability, data access, platform dependency, innovation, and the ability of new firms to enter or expand.

For example, a digital service may be free to consumers but still raise competition concerns if the provider uses its control over user data, distribution, or platform access to disadvantage competitors.

Technology ecosystem measurement helps regulators determine whether a company has achieved success through innovation and efficiency or whether it is using its position to restrict competition.

2. Meaning of Technology Ecosystem Measurement

Technology ecosystem measurement is the systematic assessment of competitive conditions within and across connected digital markets.

It involves measuring:

1. Market concentration: Whether a small number of firms control a substantial share of a market.
2. Platform dependency: Whether businesses must rely on a dominant platform to reach customers.
3. Network effects: Whether a service becomes more valuable as more users or businesses join it.
4. Data advantages: Whether access to large quantities of user or commercial data creates barriers to entry.
5. Switching costs: How difficult or expensive it is for consumers or businesses to move to another provider.
6. Interoperability: Whether competing services can connect with, communicate with, or operate alongside established systems.
7. Self-preferencing: Whether a platform favours its own products over competing products using the same ecosystem.
8. Innovation and entry: Whether new firms can introduce competing technologies and expand.
9. Merger effects: Whether acquisitions eliminate emerging competitors or reduce future innovation.
10. Consumer and business outcomes: Whether competition produces better quality, privacy, choice, service, and innovation.

These indicators should be assessed together. No single indicator necessarily establishes an infringement of competition law.

3. Why Technology Ecosystem Measurements Matter

A. Identifying market power beyond market share

In conventional markets, market share is often an important starting point for assessing market power. In technology markets, it may not tell the whole story.

A platform with a moderate share of one service may control a critical distribution channel, operating system, app marketplace, or advertising intermediary. Competitors may be unable to reach users without accessing that infrastructure.

Measurement must therefore consider control over important ecosystem components, not merely sales or user numbers in an isolated market.

B. Measuring network effects

Network effects occur when a service becomes more useful as additional users participate.

For example, a social network may become more attractive as more friends, businesses, and creators join it. A marketplace may attract more buyers when more sellers participate, while sellers may prefer the marketplace with the most buyers.

Network effects can benefit consumers, but they can also reinforce market power by making it difficult for new entrants to attract users.

C. Measuring data advantages

Data can improve search results, recommendations, advertising, fraud prevention, and artificial intelligence systems. However, access to extensive data may also give established firms advantages that smaller competitors cannot readily replicate.

Authorities may examine:

• The scale and uniqueness of data held by a firm.
• Whether the data can be lawfully obtained elsewhere.
• Whether competitors have access to comparable information.
• Whether combining data across services strengthens market power.
• Whether data restrictions prevent competitors from developing viable alternatives.

The possession of substantial data is not automatically unlawful. The relevant question is whether the firm's conduct or position harms the competitive process under the applicable legal framework.

D. Measuring switching costs and consumer lock-in

Consumers may find it difficult to leave an ecosystem because their purchases, subscriptions, contacts, files, photographs, business records, or application histories are tied to one provider.

Relevant indicators include the cost of transferring data, the availability of alternative services, the loss of purchased content, compatibility restrictions, and the time required to migrate.

High switching costs can reduce competitive pressure even when rival products exist.

E. Measuring innovation competition

Technology competition is frequently about future products and services rather than current prices.

Authorities may examine:

• Research and development expenditure.
• The number and quality of competing products.
• Patent and licensing arrangements.
• Entry by start-ups.
• Product development timelines.
• The emergence of alternative technical standards.
• Whether acquisitions remove potential future competitors.

Such measurements help assess whether a transaction or business practice may reduce future innovation, although no individual metric proves that harm has occurred.

4. Important Indicators for Measuring Technology Ecosystem Competition

4.1 Market concentration and market shares

Authorities can assess concentration using market shares, the Herfindahl–Hirschman Index (HHI), and the distribution of users, sales, or transactions among firms.

However, market definition is particularly important. A platform's share of all online activity may be less informative than its share of a specific service, such as general search, app distribution for a particular operating system, or digital advertising intermediation.

Legal significance: High concentration may justify closer scrutiny, but it does not by itself establish unlawful conduct. The analysis must consider entry barriers, competitive constraints, and the conduct being challenged.

4.2 Multi-sided market participation

Many platforms connect two or more groups. Examples include:

• Buyers and sellers.
• App developers and users.
• Advertisers and audiences.
• Drivers and passengers.
• Content creators and viewers.

An authority should assess how the platform's policies affect each side. A change that benefits one group may harm another, and pricing on one side may be influenced by demand on the other.

4.3 Default settings and pre-installation

Default applications, pre-installed services, and prominent placement can significantly affect consumer behaviour. Users may continue using a default service because it is convenient, even when alternatives exist.

Useful measurements include:

• The percentage of devices with a service pre-installed.
• The proportion of users retaining default settings.
• The number of steps needed to change a default.
• The availability of meaningful choice screens.
• The effect of default arrangements on rival services' ability to acquire users.

These indicators are relevant to assessing whether platform practices unfairly restrict competition or are simply efficient distribution arrangements.

4.4 Interoperability and portability

Interoperability enables different systems to work together. Data portability enables users to transfer their information between providers.

Authorities can measure the availability of technical interfaces, the cost and time required to transfer data, the compatibility of rival services, and the restrictions imposed on third-party developers.

A lack of interoperability may protect security or service quality in some circumstances. The legal assessment should therefore consider the justification for the restriction, its proportionality, and its effects on competition.

4.5 Ecosystem leverage and self-preferencing

A company may use its position in one market to strengthen its position in another. For example, an app-store operator might impose conditions that favour its own payment service, or a search platform might give its own specialised service more prominent placement.

Measurements can include:

• Preferential placement of affiliated services.
• Differences in access or ranking conditions for rivals.
• Restrictions on competing payment or distribution channels.
• Contractual exclusivity.
• The proportion of users directed toward affiliated services.
• Whether rival firms can reach customers on commercially viable terms.

4.6 Innovation and potential competition

Authorities should consider not only present competitors but also firms that could become meaningful competitors in the future.

Evidence may include research projects, product development, emerging technologies, patent portfolios, venture investment, internal business documents, and the acquisition of nascent rivals.

Such evidence is particularly relevant when a transaction could eliminate a potential competitor before it develops substantial sales.

5. At Least 8 Important Case Laws

The following cases illustrate legal principles relevant to measuring technology ecosystems. Some are directly concerned with digital platforms; others provide broader principles on market definition, dominance, interoperability, and competition effects.

Case 1: United States v. Microsoft Corp. (2001)

Court: United States Court of Appeals for the District of Columbia Circuit
Citation: 253 F.3d 34 (D.C. Cir. 2001)

Background: Microsoft held a powerful position in the market for personal-computer operating systems. The proceedings concerned its conduct toward competing technologies, particularly the Netscape browser and Java software.

Legal principle: The court upheld important findings that Microsoft had maintained its operating-system monopoly through exclusionary conduct. It examined how control over an important technological platform could be used to disadvantage competing products.

Relevance to ecosystem measurement:

The case demonstrates why competition analysis should examine the relationships between a core platform and complementary products. Relevant indicators include:

• The platform's market position.
• The importance of distribution channels.
• Compatibility and technical integration.
• The ability of rival technologies to reach users.
• Conduct that may obstruct the development of competing platforms.

Significance: Microsoft's position in operating systems mattered partly because it affected the opportunities available to complementary technologies. Ecosystem analysis should therefore assess how a firm's control over a foundational product influences competition in related markets.

Case 2: Google Android — Competition Commission of India (2022)

Authority: Competition Commission of India
Proceeding: Umar Javeed and Others v. Google LLC and Another, Case No. 39 of 2018, decided in October 2022.

Background: The CCI examined Google's arrangements with smartphone manufacturers concerning Android, the pre-installation of Google applications, the distribution of Google Search and Chrome, and restrictions affecting alternative Android-based operating systems.

Legal principle: The CCI found that specified contractual arrangements amounted to abuse of dominance in several markets associated with the Android mobile-device ecosystem. It imposed a penalty and issued behavioural directions. The NCLAT subsequently upheld the penalty in March 2023 while setting aside certain directions.

Relevance to ecosystem measurement:

The decision illustrates the importance of measuring multiple connected markets rather than treating Android as a single product. The CCI examined:

• Licensable operating systems for smart mobile devices.
• App stores for Android.
• General web search.
• Non-operating-system-specific mobile browsers.
• Online video-hosting platforms.

The Commission also considered pre-installation, default placement, network effects, distribution restrictions, and barriers to entry. Press Information Bureau

Significance: The case is a major Indian example of ecosystem-based competition analysis. It shows how a platform's arrangements in one market can influence competitive opportunities in several connected markets.

Case 3: Google Shopping — European Commission and European Union Courts

Case: Google and Alphabet v. Commission
Court citation: Case C-48/22 P, judgment of 10 September 2024.

Background: The proceedings concerned Google's treatment of its comparison-shopping service in general search results and the position of competing comparison-shopping services.

Legal principle: The EU litigation addressed whether Google's conduct constituted an abuse of dominance under Article 102 of the Treaty on the Functioning of the European Union. The Court of Justice upheld the rejection of Google's appeal against the General Court judgment.

Relevance to ecosystem measurement:

The case demonstrates why regulators may need to measure:

• The visibility and placement of services in search results.
• Traffic distribution between affiliated and competing services.
• The effect of ranking and display practices on rivals.
• The role of algorithms in allocating access to users.
• Whether a dominant platform applies unequal competitive conditions.

Significance: In digital ecosystems, control over a gateway may be as important as ownership of the underlying service. Search ranking and presentation can affect a rival's ability to attract customers, although not every difference in treatment constitutes an infringement.

Case 4: Ohio v. American Express Co. (2018)

Court: Supreme Court of the United States
Citation: 585 U.S. 529 (2018)

Background: The case concerned contractual provisions restricting merchants that accepted American Express cards from steering customers toward other payment cards.

Legal principle: The Supreme Court treated credit-card transactions as involving a two-sided transaction platform. In the circumstances of the case, it held that the plaintiffs had not demonstrated the required anticompetitive effects in the relevant market.

Relevance to ecosystem measurement:

The decision shows that a platform's competitive effects may need to be assessed across multiple interdependent groups. Useful measurements include:

• Merchant participation and acceptance.
• Consumer use and cardholder benefits.
• Fees charged to merchants.
• Prices and rewards affecting cardholders.
• The relationship between participation on each side.

Significance: Authorities should avoid measuring only one side of a platform when the business model depends on interactions between both sides. At the same time, the need for a two-sided analysis depends on the market and legal framework; not every digital platform should automatically be treated as a single two-sided market.

Case 5: Bundeskartellamt v. Meta Platforms Ireland — Facebook Data Case (2023)

Court: Court of Justice of the European Union
Citation: Case C-252/21, judgment of 4 July 2023.

Background: Germany's competition authority examined Facebook's collection and combination of personal data across its services and third-party websites.

Legal principle: The Court clarified the relationship between competition law and other applicable legal frameworks, including data-protection law. It held, among other things, that a competition authority may consider whether conduct complies with data-protection rules when assessing abuse of dominance, subject to the relevant legal conditions and cooperation requirements.

Relevance to ecosystem measurement:

The case highlights the importance of measuring data advantages and user dependency. Authorities may examine:

• The volume and sources of data collected.
• Whether information from different services is combined.
• The availability of alternatives for users.
• The competitive significance of data access.
• The relationship between market power, user choice, and data-related conduct.

Significance: Data is not merely a privacy issue; in appropriate circumstances, data practices can also be relevant to competition analysis. Nevertheless, a data-protection violation and an antitrust infringement are legally distinct questions.

Case 6: Epic Games, Inc. v. Apple Inc. (2021; appellate judgment in 2023)

Court: United States District Court for the Northern District of California; United States Court of Appeals for the Ninth Circuit
Appellate citation: 67 F.4th 946 (9th Cir. 2023)

Background: Epic challenged Apple's App Store rules, including restrictions on alternative payment mechanisms and the distribution of apps on iOS devices.

Legal principle: The courts rejected most of Epic's federal antitrust claims, while the litigation produced an injunction under California's Unfair Competition Law concerning certain anti-steering restrictions. The Ninth Circuit affirmed the relevant judgment in substantial part.

Relevance to ecosystem measurement:

The case shows the importance of examining:

• App distribution rules.
• Platform commissions and payment restrictions.
• Developers' access to users.
• The feasibility of alternative distribution channels.
• Consumer switching between mobile ecosystems.
• The competitive significance of platform security and integration arguments.

Significance: An ecosystem operator may have legitimate reasons to maintain security and technical standards. Competition analysis must nevertheless assess whether particular restrictions are justified or unnecessarily limit competitive alternatives. The case does not establish that all App Store restrictions are unlawful.

Case 7: Bronner v. Mediaprint (1998)

Court: Court of Justice of the European Union
Citation: Case C-7/97, judgment of 26 November 1998.

Background: The dispute concerned access to a newspaper home-delivery system operated by a competing publisher.

Legal principle: The Court established a demanding test for requiring a dominant undertaking to grant access to infrastructure under the essential-facilities doctrine. Among the key issues were indispensability, the elimination of effective competition, and the absence of objective justification.

Relevance to ecosystem measurement:

Although not a digital-platform case, the judgment is relevant when evaluating claims that a dominant technology platform should provide access to an interface, network, distribution channel, or other facility.

Authorities should assess:

• Whether the facility is genuinely indispensable.
• Whether realistic alternatives exist.
• Whether denial of access can exclude effective competition.
• Whether access can be provided without disproportionate technical or commercial burdens.

Significance: Ecosystem measurements can help establish whether access is important, but evidence of importance alone is insufficient to satisfy the legal test for compulsory access.

Case 8: Illumina, Inc. v. European Commission (2024)

Court: Court of Justice of the European Union
Cases: Joined Cases C-611/22 P and C-625/22 P, judgments of 3 September 2024.

Background: The litigation concerned the European Commission's attempt to review Illumina's acquisition of Grail following referrals under Article 22 of the EU Merger Regulation.

Legal principle: The Court of Justice ruled against the Commission's interpretation of its referral powers in the circumstances, holding that the Commission could not accept an Article 22 referral from a national competition authority that lacked power to review the transaction under its own national law.

Relevance to ecosystem measurement:

This is particularly relevant to innovation-focused technology markets, where a transaction may involve a developing business with limited current sales but potentially important future competitive significance.

Authorities may need to evaluate:

• Whether a target could become a future competitor.
• The strength of its technology or intellectual property.
• Its potential role in an emerging market.
• The likelihood that the acquisition would remove an independent source of innovation.

Significance: Innovation and potential competition matter, but merger review must still operate within the authority's statutory jurisdiction. Ecosystem measurement cannot replace the legal requirements governing merger control.

Case 9: Google Play Store Billing — Competition Commission of India (2022)

Authority: Competition Commission of India
Proceeding: XYZ v. Alphabet Inc. and Others, Case No. 07 of 2020, decided in October 2022.

Background: The CCI examined Google's billing policies for apps and in-app purchases distributed through the Google Play Store, including the requirement that developers use Google's billing system for specified transactions.

Legal principle: The CCI found that certain billing and related policies constituted abuse of dominance under Section 4 of the Competition Act, 2002. It imposed a penalty and directed Google to modify specified practices.

Relevance to ecosystem measurement:

The case illustrates the importance of measuring the relationship between app distribution and payment services. Relevant indicators include:

• Developers' dependence on the dominant app store.
• The cost of using mandatory billing services.
• The availability of alternative payment processors.
• Restrictions on communicating alternative purchasing options.
• Differences between the conditions imposed on third-party developers and the platform's own services.

Significance: A platform may influence competition in a related market by controlling access to customers in the market it operates. However, whether a particular policy is unlawful depends on the evidence, the applicable law, and the circumstances of the case.

Case 10: Competition Commission of India v. Coal India Ltd. (2023)

Court: Supreme Court of India
Citation: Civil Appeal No. 3327 of 2017, judgment dated 15 February 2023.

Background: The dispute concerned the application of competition law to Coal India, a government-owned enterprise, and the relationship between its statutory position and competition-law obligations.

Legal principle: The Supreme Court confirmed that Coal India was subject to the Competition Act in relation to the relevant commercial activities. Government ownership did not create a blanket exemption from competition law.

Relevance to technology ecosystem measurement:

Although not a digital-technology case, it illustrates a broader principle: competition assessment should focus on the nature of an undertaking's activities and the applicable legal framework rather than assuming that a firm's ownership structure determines its competitive obligations.

The principle may be relevant when evaluating:

• State-owned digital infrastructure.
• Publicly controlled technology platforms.
• Government-backed cloud or payment services.
• Public and private providers operating in the same market.

Significance: Ownership, public purpose, and technological importance do not automatically remove commercial conduct from competition scrutiny. The precise legal treatment depends on the relevant statute and the activity concerned.

6. Indian Legal Framework for Technology Ecosystem Measurement

In India, the principal framework is the Competition Act, 2002, administered by the Competition Commission of India (CCI), together with applicable merger-control rules and other relevant laws.

Section 3: Anti-competitive agreements

Section 3 addresses agreements that cause or are likely to cause an appreciable adverse effect on competition in India.

In technology ecosystems, relevant arrangements may include:

• Exclusive distribution agreements.
• Restrictions on dealing with competing platforms.
• Agreements limiting developers' use of alternative payment services.
• Certain restrictions affecting interoperability or distribution.
• Coordinated conduct between competing technology providers.

The legal assessment depends on the nature of the agreement and its actual or likely competitive effects.

Section 4: Abuse of dominant position

Section 4 prohibits the abuse of a dominant position.

Relevant concerns in technology ecosystems may include:

• Unfair or discriminatory conditions.
• Denial of market access.
• Limiting technical or scientific development to the prejudice of consumers.
• Leveraging dominance in one relevant market to enter or protect another market.
• Other forms of exclusionary or exploitative conduct covered by the Act.

A company is not prohibited from becoming dominant through successful innovation. The prohibition concerns abuse of dominance, not dominance itself.

Sections 5 and 6: Combinations

These provisions establish India's merger-control framework, subject to applicable thresholds, exemptions, and other statutory requirements.

Technology-related acquisitions may require careful assessment where they involve:

• Emerging competitors.
• Artificial intelligence capabilities.
• Valuable datasets.
• Cloud infrastructure.
• Digital advertising technology.
• Complementary services that may be integrated into an existing ecosystem.

The assessment should consider the effect on competition, including potential competition and innovation where supported by the evidence and relevant legal standards.

Section 18: Duties of the CCI

Section 18 sets out the CCI's duty to eliminate practices having an adverse effect on competition, promote and sustain competition, protect consumer interests, and ensure freedom of trade in Indian markets, subject to the Act.

This mandate supports evidence-based assessment of digital markets and interconnected technology services.

Important qualification

Market concentration, data accumulation, platform integration, and network effects are analytical indicators. They are not, individually, statutory infringements. A legal finding requires application of the relevant legal test to the evidence.

7. A Practical Measurement Framework

A competition authority, researcher, or policymaker can assess a technology ecosystem using the following framework.

Step 1: Define the relevant market

The authority should identify the products or services that compete with one another and the geographic area in which competition occurs.

For example, a general search service, an app store, and a mobile operating system may be connected but may not necessarily belong to the same relevant market.

Step 2: Map the ecosystem

Identify the platform's core services, complementary products, distribution channels, data relationships, contractual restrictions, and user groups.

This helps establish whether control over one service influences competition elsewhere.

Step 3: Establish a baseline

Collect reliable data on market shares, user numbers, pricing, fees, entry, switching, and other relevant indicators.

Measurements should be compared across time where possible. A single snapshot may fail to show whether competition is improving or deteriorating.

Step 4: Identify the mechanism of possible harm

The authority should explain how the conduct may harm competition. Possible mechanisms include foreclosure, tying, discriminatory access, excessive switching costs, or the elimination of potential competition.

Step 5: Test alternative explanations

Some conduct may have legitimate business justifications, such as cybersecurity, product quality, privacy protection, or technical compatibility.

Authorities should assess whether these justifications are supported by evidence and whether the restrictions are proportionate to the stated objective.

Step 6: Evaluate consumer and innovation effects

Assess whether the conduct is likely to reduce choice, quality, innovation, or competitive pressure, taking account of the applicable legal standard.

Step 7: Monitor outcomes after intervention

Where a remedy is imposed, regulators should monitor whether it improves access, enables entry, increases switching, or otherwise addresses the identified competition concern.

8. Challenges in Measuring Technology Ecosystems

A. Rapid technological change

Technology markets can change rapidly because of artificial intelligence, new devices, evolving business models, and new distribution methods. Market measurements can become outdated quickly.

Response: Authorities should use regular monitoring, forward-looking analysis where appropriate, and transparent methods for updating market assessments.

B. Difficulty defining markets

Services may be offered free of charge, bundled together, or monetised through advertising and data-driven business models.

Response: Regulators should consider service quality, non-price competition, substitution, user behaviour, and the relationships between platform participants.

C. Limited access to data

Platforms may possess detailed information about transactions, user engagement, ranking, and internal operations that is unavailable to outside researchers.

Response: Authorities may need lawful information-gathering powers, secure data-analysis arrangements, and independent technical expertise.

D. Distinguishing innovation from exclusion

A successful firm may grow because its products are superior, not because it has unlawfully restricted competition.

Response: Assessment should distinguish competitive success from exclusionary conduct and consider objective evidence of the mechanism and effects of the challenged practice.

E. Measuring future competition

A start-up may have limited revenue today but substantial potential to challenge an established company.

Response: Where legally relevant, authorities should consider credible evidence of future competitive significance, including technology, investment, product development, and customer adoption.

F. Cross-market effects

A practice in one market may affect competition in another. For example, a restriction in app distribution may influence the development of payment services.

Response: Authorities should map the relationships between markets while avoiding the assumption that every related service constitutes one single market.

G. Choosing appropriate remedies

An intervention that is too narrow may fail to address the source of market power, while an overly broad remedy may damage security, investment, or innovation.

Response: Remedies should be evidence-based, proportionate, and directed toward the specific competitive harm established.

9. Recommendations for Effective Technology Ecosystem Measurement

A sound competition-measurement framework should incorporate the following practices:

1. Use multiple indicators: Avoid relying solely on market shares, user numbers, or revenue.
2. Measure competitive constraints: Determine whether existing and potential competitors can realistically expand.
3. Examine interdependence: Assess how a firm's position in one service affects related markets.
4. Track non-price competition: Consider privacy, quality, interoperability, choice, and innovation.
5. Use time-series data: Monitor changes in entry, switching, pricing, and market structure over time.
6. Assess platform rules: Examine defaults, ranking, access conditions, contractual restrictions, and distribution arrangements.
7. Consider legitimate justifications: Distinguish exclusionary conduct from necessary technical or security measures.
8. Improve transparency: Develop clear, reproducible methods for evaluating digital-market indicators.
9. Protect confidential information: Use appropriate safeguards when handling business and personal data.
10. Coordinate expertise: Competition economists, lawyers, data scientists, and technology specialists should work together.
11. Evaluate remedies: Measure whether regulatory interventions improve competition without imposing unnecessary restrictions.
12. Respect legal boundaries: Ensure that measurements inform the applicable statutory tests rather than replacing them.

10. Conclusion

Competition Law and Technology Ecosystem Measurements concerns the systematic evaluation of market power and competitive conditions in interconnected digital markets. Traditional indicators remain important, but they must often be supplemented by analysis of network effects, platform dependency, data advantages, interoperability, switching costs, self-preferencing, and innovation.

The cases involving Microsoft, Google Android, Google Shopping, American Express, Meta, Epic Games, Bronner, Illumina, and Coal India illustrate different aspects of this analysis. Together, they show that technology competition cannot always be understood by examining a single product or market in isolation.

For India, the Competition Act, 2002—particularly Sections 3, 4, 5, 6, and 18—provides an important legal framework for evaluating relevant conduct and transactions. However, measurements must remain evidence-based and connected to the legal requirements of each case.

The central principle is that technology ecosystem measurement should help authorities determine whether businesses can compete effectively on their merits, whether users and businesses have meaningful alternatives, and whether competition continues to encourage innovation, choice, quality, and consumer welfare.