Competition Law and Restaurant Technology Platform Market Power

1. Introduction

Restaurant technology platforms have transformed the traditional restaurant market. Platforms now perform functions far beyond simple food delivery. They may provide restaurant discovery, online ordering, digital payments, delivery logistics, advertising, customer reviews, loyalty programmes, reservations, cloud-kitchen infrastructure, analytics, POS integration and algorithmic ranking.

Examples include food-delivery marketplaces, restaurant-discovery applications, reservation platforms, payment-linked restaurant ecosystems and technology providers connecting restaurants with consumers.

From a competition-law perspective, the central question is not merely whether a platform has a large number of users. The inquiry concerns whether the platform has acquired market power, whether network effects and switching costs reinforce that power, and whether its conduct restricts competition between restaurants or competing platforms.

In India, the Competition Act, 2002 is particularly relevant through Sections 3 and 4, while international platform cases provide useful principles concerning self-preferencing, exclusivity, tying, parity clauses, access restrictions and interoperability.

2. Meaning of Restaurant Technology Platform Market Power

A restaurant technology platform has market power when it possesses the ability, for a sustained period, to behave to a significant extent independently of competitive constraints.

Market power may arise from:

• large consumer networks;
• large restaurant networks;
• network effects;
• control over customer data;
• algorithmic control of search and rankings;
• high switching costs;
• exclusive arrangements;
• control over delivery infrastructure;
• integration with payment systems;
• loyalty programmes;
• restaurant-management software;
• advertising infrastructure;
• control over consumer reviews and reputation;
• economies of scale;
• access to transaction data; and
• integration of several complementary services.

The important feature is that restaurant platforms are frequently multi-sided markets.

Typical structure

Consumers

↓

Restaurant Technology Platform

↓

Restaurants

with additional connections to:

• delivery partners;
• advertisers;
• payment providers;
• POS providers;
• cloud kitchens;
• reservation services;
• restaurant-management software.

Consequently, competition authorities must consider effects on both sides of the platform, rather than looking only at consumer prices.

3. Relevant Market

Under Indian competition law, the relevant market is determined under Sections 2(r), 2(s) and 2(t) of the Competition Act, 2002.

For restaurant technology platforms, several possible relevant markets can arise.

A. Online food-delivery platform services

This market focuses on platforms facilitating online ordering and delivery.

B. Restaurant discovery services

Restaurant search and discovery may constitute a separate competitive dimension where consumers use platforms principally to identify restaurants.

C. Online restaurant reservation services

Reservation platforms may compete through table discovery, booking and customer-management technology.

D. Restaurant technology software

POS, CRM, inventory, analytics and restaurant-management software may constitute another market.

E. Digital restaurant advertising

Platforms may sell restaurants sponsored listings, search prominence and targeted advertising.

F. Integrated restaurant ecosystem services

In some circumstances, the relevant competitive environment may involve an ecosystem combining:

discovery + ordering + payments + delivery + advertising + loyalty + data.

The appropriate definition depends upon substitutability, consumer behaviour, supplier constraints, switching costs and platform functionality.

4. Multi-Sided Market Characteristics

Restaurant technology platforms have distinctive competition characteristics.

A. Network effects

More restaurants attract more consumers.

More consumers attract more restaurants.

This produces a reinforcing cycle:

More restaurants → more choice → more consumers → more orders → greater restaurant participation → more restaurants.

A successful platform may therefore become increasingly difficult to challenge.

B. Cross-side network effects

A platform may subsidise one side of the market.

For example:

• consumers may receive discounts;
• restaurants may pay commissions;
• delivery may be subsidised;
• advertisers may pay for visibility.

Therefore, a platform's zero or low consumer price does not necessarily mean that it lacks market power.

5. Data as a Source of Market Power

Restaurant platforms can accumulate extensive information concerning:

• consumer preferences;
• restaurant performance;
• order frequency;
• delivery times;
• cuisine preferences;
• geographic demand;
• peak ordering periods;
• cancellation rates;
• conversion rates;
• restaurant margins;
• advertising effectiveness.

This data may create competitive advantages.

A platform that simultaneously acts as:

1. marketplace;
2. advertiser;
3. delivery provider; and
4. restaurant operator

may have access to commercially valuable information about independent restaurants.

Competition concerns can therefore arise where data is used to:

• favour affiliated restaurants;
• disadvantage independent restaurants;
• optimise competing products;
• determine rankings;
• target restaurants with discriminatory terms;
• replicate successful restaurant concepts; or
• increase dependence on the platform.

6. Algorithmic Ranking and Self-Preferencing

One of the most important issues is algorithmic self-preferencing.

Suppose a platform owns or financially participates in Restaurant A while independent restaurants compete on the same platform.

The platform could potentially influence:

• search results;
• recommendation systems;
• sponsored listings;
• delivery allocation;
• discounts;
• customer notifications;
• ratings visibility;
• restaurant badges.

If affiliated restaurants receive preferential treatment, competition may be distorted.

The CCI's 2022 NRAI proceedings specifically identified the importance of platform control over deliveries and search ranking, and noted that preferential treatment of restaurant partners in which platforms had an equity or revenue interest could potentially affect the competitive level playing field.

7. Exclusivity

Restaurant platforms may impose or encourage:

• exclusive listing;
• exclusive delivery arrangements;
• exclusive advertising;
• exclusive discounts;
• minimum-order commitments;
• minimum business guarantees.

Exclusivity can produce efficiencies, such as preventing free-riding on platform investment.

However, where a platform possesses substantial market power, extensive exclusivity may:

• foreclose rival platforms;
• increase barriers to entry;
• reduce consumer choice;
• increase restaurant dependence;
• prevent multi-homing.

The CCI's NRAI case specifically considered allegations concerning restaurant exclusivity, minimum business guarantees and preferential advertising/listing arrangements.

8. Price Parity / MFN Clauses

A restaurant platform may require restaurants not to offer cheaper prices through another platform or their own website.

Such provisions are commonly known as:

• Most-Favoured-Nation clauses;
• MFN clauses;
• parity clauses;
• price-parity clauses.

The competition concern is that parity provisions can reduce the ability of competing platforms to compete through lower commissions or better commercial terms.

The principle is illustrated strongly by Booking.com, where the Court of Justice of the European Union held in 2024 that price-parity clauses could not, in principle, be classified as ancillary restraints.

Although Booking.com concerns hotel accommodation rather than restaurants, the platform-intermediation principle is highly relevant to restaurant technology platforms.

9. Commission and Excessive Pricing Issues

Restaurant platforms frequently charge commissions to restaurants.

A competition-law question arises where a dominant platform allegedly imposes:

• excessive commissions;
• discriminatory commissions;
• mandatory advertising expenditure;
• delivery charges;
• platform fees;
• penalties;
• promotional contributions.

However, a high commission by itself does not automatically establish abuse of dominance.

The legal analysis requires consideration of:

1. dominance;
2. relevant market;
3. commercial justification;
4. competitive alternatives;
5. economic effects;
6. contractual context; and
7. whether the conduct falls within Section 4.

The 2026 R. Suresh v. Eternal Limited (formerly Zomato Limited) proceeding illustrates how allegations concerning platform fees, restaurant commissions and differences between direct and platform prices can generate Section 3/4 scrutiny. The CCI ultimately dealt with the information under Section 26(2), so the allegations should not be treated as findings of infringement.

10. Switching Costs and Multi-Homing

Restaurant platforms may benefit from multi-homing because consumers can install several food-delivery applications.

The CCI recognised this factor in earlier Swiggy/Zomato proceedings, where switching between platforms and promotional offers was considered relevant to the competitive assessment.

However, multi-homing may become less effective when platforms introduce:

• loyalty programmes;
• subscription plans;
• exclusive discounts;
• accumulated rewards;
• restaurant exclusivity;
• integrated payment systems;
• proprietary delivery infrastructure;
• restaurant-management software.

Thus, the existence of multiple apps does not necessarily eliminate market-power concerns.

11. Important Case Laws

Case 1: In Re: Prachi Agarwal & Or. v. Bundl Technologies Pvt. Ltd. (Swiggy)

CCI, Case No. 39/2019, 19 June 2020

This is an important Indian case concerning app-based food delivery.

The informants alleged that Swiggy possessed dominance in the app-based food-delivery market and engaged in allegedly unfair pricing practices.

The CCI examined the proposed relevant market and the substitutability of:

• app-based food ordering;
• direct restaurant ordering;
• telephone ordering; and
• other forms of food delivery.

The case demonstrates the importance of proper market definition before analysing dominance. The CCI also considered the dynamic nature of the food-delivery market and the ability of consumers to switch between platforms.

Principle

Market share alone cannot determine dominance; the structure and contestability of a technology platform must also be examined.

Case 2: Rohit Arora v. Zomato Pvt. Ltd.

CCI, Case No. 54/2020, order dated 4 April 2022

The proceeding concerned allegations relating to food-delivery services and pricing differences between restaurant prices and prices charged through the platform.

The CCI examined the competitive environment in restaurant discovery and food ordering and considered the availability of alternative platforms and direct ordering channels.

Principle

The existence of alternative ordering channels and the ease of switching can materially affect an assessment of market power.

Case 3: National Restaurant Association of India v. Zomato Ltd. & Bundl Technologies Pvt. Ltd. (Swiggy)

CCI, Case No. 16/2021, order dated 4 April 2022

This is particularly important for restaurant technology platforms.

NRAI alleged several practices involving:

• exclusivity;
• preferential treatment;
• deep discounting;
• platform neutrality;
• data-related advantages;
• preferential listing;
• minimum business guarantees.

The CCI recognised that Zomato and Swiggy function as logistics-enabled restaurant marketplaces, connecting restaurants and consumers through a platform exhibiting network effects.

The Commission also considered allegations concerning preferential treatment of restaurants in which platforms had an equity or revenue interest and identified potential concerns involving control over search rankings and delivery mechanisms.

Principle

A platform can create competition concerns when it simultaneously acts as an intermediary and has economic interests capable of influencing how competing restaurants are presented or served.

Case 4: Lalit Wadher v. Zomato Ltd.

CCI, Case No. 27/2024, order dated 6 March 2025

The case concerned allegations against Zomato arising from its app-based food-delivery operations.

The CCI considered the allegations under the Competition Act and ultimately dealt with the information under Section 26(2).

Principle

Consumer complaints involving platform pricing, charges and commercial conditions must still satisfy the statutory requirements of competition law. A commercial grievance does not automatically constitute abuse of dominance.

Case 5: Booking.com and Booking.com (Deutschland)

CJEU, Case C-264/23, judgment of 19 September 2024

Although this case concerned hotel-booking technology rather than restaurants, it is highly relevant to restaurant platforms because both involve online intermediation platforms connecting businesses with consumers.

The CJEU considered Booking.com's price-parity clauses, under which hotels were restricted from offering lower prices through alternative channels.

The Court held that such clauses could not, in principle, be classified as ancillary restraints under EU competition law.

Restaurant-platform application

A comparable restaurant-platform clause could restrict restaurants from offering:

Restaurant website price < Platform price

or:

Rival-platform price < Dominant-platform price.

Such restrictions can therefore warrant close competition-law scrutiny.

Case 6: Google and Alphabet v. European Commission — Google Shopping

CJEU, Case C-48/22 P, judgment of 10 September 2024

Google Shopping involved a dominant search platform favouring its own specialised comparison-shopping service.

The CJEU upheld the Commission's €2.4 billion fine concerning Google's abuse of dominance through preferential treatment of its own comparison-shopping service.

Relevance to restaurant technology

The principle is directly relevant to restaurant platforms where the same platform:

• operates the marketplace;
• controls search rankings; and
• has its own restaurants, cloud kitchens or affiliated restaurant brands.

The key competition issue becomes:

Is the platform using control over an essential customer-interface function to favour its own downstream service?

This is the classic self-preferencing problem.

Case 7: Google and Alphabet v. European Commission — Google Android

General Court, Case T-604/18; CJEU appeal, Case C-738/22 P

The Google Android litigation concerned Google's contractual arrangements involving Android, Play Store, Search and device manufacturers.

The EU courts examined:

• tying;
• exclusivity payments;
• contractual restrictions;
• platform ecosystems;
• foreclosure;
• barriers to competing services.

The 2026 CJEU judgment continued to address the competition-law implications of tying, exclusive pre-installation payments and restrictions affecting Android forks.

Relevance

Restaurant platforms can similarly create ecosystem effects by combining:

ordering + payment + loyalty + advertising + delivery + restaurant software.

The more functions are bundled, the greater the importance of examining whether consumers or restaurants can realistically use competing services.

Case 8: Amazon.com and Others v. European Commission

CJEU, Case C-815/21 P

The Amazon litigation concerned the Commission's investigation into Amazon's online-sales activities and illustrates the broader competition-law difficulties associated with large online platforms operating simultaneously as marketplace operators and commercial participants.

Relevance

A restaurant marketplace may similarly occupy two positions:

Platform operator

and

competitor of restaurants using the platform.

This dual role creates potential concerns involving:

• data advantages;
• ranking;
• self-preferencing;
• access conditions;
• advertising;
• product imitation;
• discriminatory treatment.

12. Key Competition Concerns

13. Restaurant Technology Ecosystems

A modern platform may progressively expand:

Stage 1: Restaurant discovery
↓
Stage 2: Ordering
↓
Stage 3: Payment
↓
Stage 4: Delivery
↓
Stage 5: Advertising
↓
Stage 6: Loyalty/subscription
↓
Stage 7: POS and restaurant software
↓
Stage 8: Data analytics
↓
Stage 9: Cloud kitchens/private labels

This creates an ecosystem-based competition problem.

A platform does not necessarily need monopoly power in every individual service to possess significant strategic leverage. Control over one service can potentially strengthen its position in adjacent services.

14. Section 3 and Section 4 of the Indian Competition Act

Section 3

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

Restaurant-platform agreements potentially relevant to Section 3 include:

• exclusivity;
• resale-price restrictions;
• platform parity arrangements;
• anti-competitive distribution restrictions;
• agreements restricting restaurants from using competing platforms.

Section 4

Section 4 concerns abuse of dominant position.

Relevant forms of abuse may include:

Section 4(2)(a)

Imposition of unfair or discriminatory:

• conditions; or
• prices.

Section 4(2)(b)

Limiting:

• production;
• technical development;
• markets; or
• services.

Section 4(2)(c)

Denial of market access.

Section 4(2)(d)

Making contractual conditions subject to unrelated supplementary obligations.

Section 4(2)(e)

Using dominance in one market to enter into or protect another market.

The last category can be particularly significant for restaurant technology ecosystems.

15. Self-Preferencing in Restaurant Platforms

Consider this hypothetical structure:

Platform X

• owns a delivery service;
• operates a restaurant marketplace;
• owns cloud kitchens;
• sells restaurant advertising;
• controls search ranking.

Independent Restaurant A and Platform-owned Restaurant B compete.

If Platform X systematically provides Restaurant B with:

• higher ranking;
• better delivery allocation;
• greater promotional exposure;
• lower commission;
• preferential advertising rates,

competition concerns may arise.

The relevant legal inquiry would require evidence establishing:

1. relevant market;
2. dominance;
3. discriminatory or exclusionary conduct;
4. competitive effects;
5. causation;
6. objective justification, if any.

16. Data Advantage

Restaurant technology platforms possess two-sided data.

Consumer-side data

• ordering history;
• location;
• preferences;
• spending;
• cuisine preferences.

Restaurant-side data

• sales;
• margins;
• demand;
• conversion;
• cancellation;
• delivery performance;
• advertising expenditure.

The platform can theoretically combine these datasets to create a substantial competitive advantage.

Competition authorities may therefore investigate whether:

data generated by dependent restaurants is being used to compete against those same restaurants.

This issue becomes particularly significant where the platform launches private labels or cloud kitchens.

17. Interoperability

Interoperability can reduce platform dependence.

For example, restaurants could potentially connect:

• POS systems;
• delivery platforms;
• reservation systems;
• payment providers;
• loyalty programmes;
• customer databases.

If a dominant platform prevents interoperability without legitimate justification, it may increase switching costs.

The broader EU digital-platform jurisprudence recognises that refusal to provide interoperability can, in appropriate circumstances, constitute an abuse of dominance.

18. Remedies

Competition authorities may consider remedies such as:

Structural remedies

• divestiture;
• separation of platform and competing restaurant businesses.

Behavioural remedies

• non-discriminatory ranking;
• transparent algorithms;
• prohibition of unjustified exclusivity;
• prohibition of discriminatory commissions;
• data-access obligations;
• interoperability;
• restrictions on self-preferencing.

Transparency remedies

Platforms may be required to explain:

• ranking criteria;
• advertising placement;
• commission structures;
• sponsored results;
• restaurant visibility.

Data remedies

Possible measures include:

• data portability;
• access to restaurant-generated data;
• restrictions on cross-use of commercially sensitive data.

19. Competition Compliance Framework for Restaurant Platforms

A platform should maintain a competition-compliance programme covering:

1. Market definition

Regularly assess relevant markets and competitive constraints.

2. Ranking neutrality

Document objective ranking criteria.

3. Self-preferencing controls

Separate platform decisions from affiliated restaurant interests where appropriate.

4. Exclusivity review

Evaluate duration, scope and foreclosure effects.

5. Pricing policies

Review commissions, platform fees and differential pricing.

6. Data governance

Restrict inappropriate use of restaurant-sensitive information.

7. Interoperability

Avoid unjustified technical barriers to rival services.

8. Advertising transparency

Distinguish organic rankings from paid placements.

9. Algorithmic auditing

Test algorithms for discriminatory or exclusionary outcomes.

10. Documentation

Maintain evidence of legitimate commercial justifications.

20. Overall Legal Framework

The competition-law analysis can be represented as:

Restaurant Technology Platform

↓

Define Relevant Market

↓

Identify Platform's Market Power

↓

Examine Network Effects & Switching Costs

↓

Analyse Conduct

→ Exclusivity
→ Self-preferencing
→ MFN/parity
→ Tying
→ Bundling
→ Pricing
→ Data use
→ Interoperability
→ Ranking

↓

Assess Competitive Effects

↓

Consider Objective Justification / Efficiencies

↓

Determine Appropriate Remedy

21. Key Takeaways

1. Restaurant technology platforms are typically multi-sided markets.
2. Market power cannot be assessed solely by market share.
3. Network effects and data accumulation can reinforce platform power.
4. Restaurant exclusivity can potentially foreclose competing platforms.
5. Self-preferencing is especially significant where a platform owns or finances competing restaurants.
6. Algorithmic ranking can become a competition-law issue when it systematically disadvantages rivals.
7. Parity clauses can restrict restaurants' ability to compete across platforms.
8. High commissions alone do not establish abuse; dominance and the statutory elements must also be established.
9. Bundling ordering, delivery, payments, advertising and restaurant software can increase ecosystem dependence.
10. The Indian Zomato/Swiggy cases provide particularly important domestic guidance on restaurant-platform competition.
11. Google Shopping provides an important comparative principle concerning preferential treatment of a platform's own downstream service.
12. Booking.com provides a useful comparative precedent concerning parity clauses in online intermediation.
13. Google Android illustrates the competition implications of tying, exclusivity and ecosystem leverage.
14. Competition analysis increasingly has to consider data, algorithms, interoperability and platform governance alongside traditional price and market-share analysis.

Conclusion

Competition law relating to restaurant technology platforms is moving from a traditional price-and-market-share model toward an ecosystem-based assessment of network effects, data, algorithms, interoperability, ranking, exclusivity and platform neutrality.