Competition Law and Food Technology Market Concentration

1. Introduction

Food technology (“FoodTech”) refers to technology-enabled businesses involved in food ordering, delivery, grocery platforms, restaurant-management software, digital payment systems, food marketplaces, automated food retail, cloud kitchens, food-data services, and technology-enabled food distribution.

Market concentration becomes a competition-law concern when a small number of FoodTech firms acquire substantial control over consumers, restaurants, suppliers, delivery networks, data, algorithms, payment systems, or essential technological infrastructure.

The central competition-law question is not simply whether a FoodTech market is concentrated. A concentrated market may still be competitive. The legal issue is whether concentration creates, strengthens, or facilitates market power in a manner that harms competition.

Typical concerns include:

• mergers and acquisitions between competing FoodTech platforms;
• exclusionary conduct by dominant food-delivery platforms;
• self-preferencing and discriminatory algorithms;
• exclusive dealing with restaurants or suppliers;
• parity/MFN clauses;
• tying food-delivery services to payment or advertising services;
• exploitation of restaurant and consumer data;
• interoperability restrictions;
• network effects and platform lock-in;
• coordinated conduct between competing platforms;
• minority shareholdings creating structural links between competitors;
• control over delivery infrastructure;
• concentration in FoodTech software and automated retail;
• algorithmic pricing and information exchange.

2. Relevant Competition-Law Framework

A. Market definition

FoodTech markets are frequently multi-sided markets.

A single platform may simultaneously connect:

1. consumers;
2. restaurants;
3. delivery workers;
4. advertisers;
5. grocery suppliers;
6. payment providers; and
7. technology/service providers.

Therefore, competition authorities may need to examine several related markets rather than treating the platform as operating in one conventional product market.

For example:

Restaurant → FoodTech platform → Consumer

and

Restaurant → Delivery infrastructure → Consumer

may constitute separate but interconnected competitive relationships.

In India, Section 4 of the Competition Act, 2002 addresses abuse of dominant position, while Sections 3 and 5–6 address anti-competitive agreements and combinations respectively. The CCI explains that combinations may be modified or prohibited where they cause or are likely to cause an appreciable adverse effect on competition.

3. Why FoodTech Markets Can Become Highly Concentrated

3.1 Network effects

FoodTech platforms benefit from direct and indirect network effects.

More consumers attract more restaurants.

More restaurants attract more consumers.

More transactions generate more data.

More data can improve:

• recommendations;
• delivery routing;
• demand forecasting;
• pricing;
• restaurant ranking;
• advertising;
• customer acquisition.

This creates a feedback loop:

More users → More restaurants → More transactions → More data → Better technology → More users

Consequently, an incumbent can become progressively harder to challenge.

The CCI's investigation involving the National Restaurant Association of India specifically recorded allegations concerning network effects and the "fly-wheel" effect in online food-delivery platforms.

4. Data as a Source of Market Power

FoodTech companies may accumulate enormous datasets concerning:

• consumer preferences;
• restaurant sales;
• delivery times;
• geographic demand;
• menu prices;
• discounts;
• customer frequency;
• order values;
• peak periods;
• restaurant performance.

A dominant platform can potentially use information obtained from restaurants to compete against those same restaurants through:

• private-label products;
• cloud kitchens;
• preferred restaurant listings;
• targeted advertising;
• algorithmic ranking;
• commission structures.

Thus, data concentration can reinforce traditional economic concentration.

5. Algorithmic Market Concentration

Algorithms can influence:

• search rankings;
• restaurant visibility;
• delivery allocation;
• discounts;
• surge pricing;
• advertising placement;
• customer recommendations.

Competition concerns may arise where a dominant platform uses algorithms to disadvantage competitors or trading partners.

However, the existence of an algorithm is not itself an antitrust violation.

Authorities generally need to establish:

1. relevant market;
2. market power/dominance;
3. exclusionary or exploitative conduct;
4. competitive effects; and
5. absence of sufficient objective justification where relevant.

6. Mergers and Acquisitions

FoodTech consolidation can occur through:

• acquisition of competing platforms;
• acquisition of delivery companies;
• acquisition of restaurant-management software;
• acquisition of grocery-delivery businesses;
• acquisition of payment technology;
• acquisition of food-data businesses;
• minority investments.

The competition authority may examine:

Horizontal effects

Two food-delivery platforms combine.

Vertical effects

A delivery platform acquires a restaurant-management or payment provider.

Conglomerate effects

A large digital ecosystem acquires a FoodTech platform and links it with other services.

Data effects

The merger combines datasets that competitors cannot easily reproduce.

7. Major Case Laws and Competition Decisions

Case 1 — National Restaurant Association of India v. Zomato Ltd. & Others, CCI Case No. 16/2021

This is one of the most directly relevant Indian FoodTech competition cases.

The National Restaurant Association of India challenged various practices involving Zomato and Swiggy, including allegations concerning:

• market power;
• commissions;
• exclusivity;
• price parity;
• preferential treatment;
• deep discounting;
• data advantages; and
• platform dependence of restaurants.

The CCI examined the relevant market and considered the two-sided and hyperlocal nature of food-delivery platforms. The proceedings demonstrate that market concentration cannot be assessed merely through a national market-share figure because food delivery has important geographic and platform-specific characteristics.

Competition-law significance

The case illustrates:

• multi-sided platform analysis;
• network effects;
• market definition;
• platform dependency;
• vertical restraints;
• restaurant-platform bargaining power;
• algorithmic/platform economics.

Principle

High market share is relevant evidence of market power, but dominance must be assessed through the complete competitive structure of the relevant market.

8. Case 2 — Rohit Arora v. Zomato Pvt. Ltd., CCI Case No. 54/2020

The complaint concerned Zomato's food-delivery operations and alleged:

• excessive delivery charges;
• discriminatory charges;
• algorithmic manipulation;
• restrictions affecting restaurant delivery;
• tying or leveraging of food-ordering and delivery services; and
• abuse of market position.

The CCI considered the development of Zomato's delivery infrastructure, including its acquisition of Runnr and subsequent expansion of food-delivery operations.

Competition-law significance

This decision is important for understanding how a FoodTech platform can move from being an intermediary into controlling additional layers of the food ecosystem.

A platform can potentially expand across:

restaurant discovery → ordering → payment → delivery → advertising → data

Such vertical expansion can increase efficiency but can also create competition concerns if dominance in one layer is used to exclude competitors in another.

9. Case 3 — Prachi Agarwal & Others v. Swiggy, CCI Case No. 39/2019

This case concerned allegations involving Swiggy's food-delivery platform.

The matter illustrates the application of Indian competition law to technology-enabled food marketplaces and the importance of examining whether alleged platform practices actually result in an appreciable adverse effect on competition or abuse of dominance.

The CCI records the matter as an antitrust proceeding under Section 19(1)(a) of the Competition Act.

Competition-law significance

The case demonstrates that:

A complaint against a large technology platform does not automatically establish dominance or abuse.

Competition analysis requires evidence concerning:

• relevant market;
• market position;
• competitive constraints;
• nature of the alleged conduct; and
• actual or likely competitive harm.

10. Case 4 — Amazon / Deliveroo, UK CMA

The UK Competition and Markets Authority investigated Amazon's minority investment in Deliveroo.

The transaction was particularly important because Amazon had previously operated in online restaurant delivery and could potentially have become a stronger competitor to Deliveroo.

The CMA initially identified concerns that Amazon's investment could discourage Amazon from re-entering online restaurant food delivery and could affect competition in online convenience grocery delivery.

The matter subsequently proceeded to an in-depth investigation.

Ultimately, the CMA cleared Amazon's 16% investment after concluding that the transaction would not substantially lessen competition. The CMA nevertheless noted that a greater degree of control, such as a controlling acquisition, could require further investigation.

Competition-law significance

This case is particularly important for minority-shareholding concentration.

A transaction does not necessarily need to produce complete ownership to create competition concerns.

A minority investment may matter where it:

• changes competitive incentives;
• provides strategic information;
• influences business decisions;
• creates structural links between competitors;
• discourages independent competitive expansion.

11. Case 5 — Delivery Hero / Glovo — European Commission Food Delivery Cartel

The European Commission's investigation into Delivery Hero and Glovo illustrates a different form of FoodTech concentration.

The Commission investigated concerns involving:

• geographic market allocation;
• exchange of commercially sensitive information;
• no-poach arrangements; and
• the effect of a minority shareholding between competing platforms.

The Commission subsequently fined Delivery Hero and Glovo €329 million in 2025 for cartel participation in the online food-delivery sector. The conduct included exchanges of commercially sensitive information and agreements concerning geographic markets.

Competition-law significance

This case demonstrates that concentration concerns are not restricted to formal mergers.

Structural links between competitors + information exchange + market allocation can substantially weaken competitive independence.

It also demonstrates the importance of examining:

ownership structure + information flows + geographic expansion + competitive strategy.

12. Case 6 — 365 Retail Markets / Cantaloupe, FTC, 2026

This is an important modern example of FoodTech infrastructure concentration.

The FTC challenged the proposed $848 million acquisition of Cantaloupe by 365 Retail Markets.

The relevant technology involved micromarket kiosks, which are automated food-retail environments used in workplaces and other locations.

The FTC stated that the transaction would combine the two largest providers of micromarket kiosks and related software and services. The proposed resolution required divestiture of Cantaloupe's Three Square Market business to preserve a competing technology-enabled provider.

Competition-law significance

This case demonstrates that FoodTech competition law extends beyond:

• Uber Eats-type delivery platforms;
• restaurant applications; and
• grocery marketplaces.

It also covers software, kiosks, payment technology and automated food-retail infrastructure.

The case therefore illustrates a modern theory of FoodTech concentration:

Technology infrastructure itself can become an important competitive bottleneck.

13. Case 7 — Sysco / US Foods, FTC

Although this case concerns foodservice distribution rather than a pure digital platform, it is highly relevant to FoodTech supply-chain concentration.

The FTC challenged the proposed merger between Sysco and US Foods.

The agencies alleged that the combination would substantially reduce competition in national broadline foodservice distribution and in numerous local markets. The proposed combination was particularly significant because the two companies were major competitors serving restaurants, hotels, hospitals and other institutional customers.

The federal court preliminarily blocked the transaction, and the parties ultimately abandoned it. The FTC stated that the combined company would have represented approximately 75% of sales to national customers in the relevant broadline distribution segment.

Competition-law significance

The case illustrates a fundamental principle applicable to FoodTech:

Control over food-distribution infrastructure can produce competition concerns even where the technology layer itself is not the principal relevant market.

14. Case 8 — Grubhub — FTC and Illinois

The FTC and Illinois Attorney General brought enforcement proceedings against Grubhub concerning practices affecting diners, workers and restaurants.

The matter involved allegations concerning:

• misleading delivery costs;
• representations concerning driver earnings;
• restrictions concerning customer accounts and funds;
• restaurant listings without authorization.

The matter resulted in a $25 million settlement and operational requirements concerning disclosure and restaurant listings.

Competition-law significance

Although the proceeding involved consumer-protection issues rather than a conventional market-concentration merger case, it demonstrates an important principle:

Platform power can generate regulatory concerns even where the principal legal theory is not simply excessive market share.

15. Major Competition Concerns in FoodTech Concentration

A. Horizontal concentration

The clearest concern arises when:

FoodTech Platform A + FoodTech Platform B = substantially fewer independent competitors.

Potential consequences include:

• increased commissions;
• reduced restaurant choice;
• higher advertising costs;
• fewer delivery alternatives;
• reduced innovation;
• reduced incentives to improve service.

B. Vertical concentration

Consider:

Food marketplace + delivery network + payment system + restaurant software

A company controlling all four layers could potentially disadvantage competitors by:

• denying interoperability;
• withholding data;
• imposing discriminatory access conditions;
• tying services;
• increasing switching costs.

C. Data concentration

A dominant FoodTech company may possess information about:

• restaurant revenues;
• customer preferences;
• delivery efficiency;
• geographic demand;
• product performance;
• pricing.

The competitive question is whether the accumulated data gives the firm an advantage that competitors cannot reasonably replicate.

16. Self-Preferencing

A FoodTech platform can act simultaneously as:

1. marketplace operator; and
2. participant in the marketplace.

For example:

Platform hosts restaurants → platform launches its own food brand → platform controls ranking.

Potential competition concerns arise if the platform systematically places its own products above competing restaurants.

Relevant factors include:

• ranking algorithms;
• search visibility;
• advertising;
• access to customer data;
• commission structures;
• recommendation systems.

17. Exclusivity and Restaurant Lock-In

Platforms may attempt to obtain exclusive arrangements with:

• major restaurant chains;
• cloud kitchens;
• grocery suppliers;
• delivery providers;
• food manufacturers.

Exclusive arrangements may be legitimate and efficiency-enhancing.

However, they may raise competition concerns when a dominant platform uses exclusivity to prevent rivals from obtaining sufficient scale.

18. Price Parity / MFN Clauses

A platform might require a restaurant not to offer lower prices on another platform.

For example:

Restaurant must not charge consumers less through Platform B than through Platform A.

Such clauses can reduce price competition between platforms.

Competition authorities may therefore examine whether parity clauses:

• prevent platform switching;
• protect platform commissions;
• discourage new entrants;
• increase platform fees;
• reduce consumer price competition.

19. Network Effects and Entry Barriers

FoodTech concentration can create significant barriers to entry.

A new platform may need simultaneously to obtain:

• restaurants;
• consumers;
• delivery workers;
• payment infrastructure;
• logistics;
• data;
• advertising customers.

This creates a chicken-and-egg problem:

Consumers want restaurants → restaurants want consumers.

An established platform with millions of users can overcome this problem more easily than a new entrant.

20. Switching Costs

Consumers and restaurants may become dependent on a particular platform because of:

• loyalty programmes;
• accumulated reviews;
• customer histories;
• integrated payment systems;
• promotional credits;
• delivery subscriptions;
• restaurant-management software;
• advertising tools.

The greater the switching cost, the more difficult it may be for competitors to challenge the incumbent.

21. Algorithmic Discrimination

A FoodTech platform may use algorithms to determine:

• restaurant ranking;
• delivery allocation;
• commission levels;
• discounts;
• advertising visibility;
• customer-specific prices.

Competition authorities may investigate whether algorithms are being used to:

• discriminate against competing restaurants;
• favour affiliated businesses;
• exclude rivals;
• implement discriminatory pricing;
• facilitate coordination.

The legal analysis must distinguish legitimate algorithmic optimisation from conduct that produces an exclusionary effect.

22. FoodTech and Essential Facilities

Certain FoodTech infrastructure may become competitively significant because competitors cannot easily reproduce it.

Examples include:

• highly developed delivery networks;
• restaurant-management interfaces;
• payment infrastructure;
• proprietary logistics systems;
• critical food-market data;
• automated retail infrastructure.

However, not every important platform is an essential facility.

A competition authority normally needs to examine whether:

1. the facility is genuinely indispensable;
2. duplication is impracticable;
3. access is necessary for effective competition; and
4. refusal or discriminatory access produces competitive harm.

23. Merger-Control Analysis

Competition authorities should examine FoodTech transactions through several dimensions.

Step 1 — Define relevant markets

Possible markets include:

• online restaurant ordering;
• food delivery;
• grocery delivery;
• restaurant-management software;
• digital food advertising;
• automated food retail;
• foodservice distribution;
• payment technology.

Step 2 — Measure market concentration

Relevant indicators include:

• market shares;
• HHI;
• transaction volume;
• consumer usage;
• restaurant coverage;
• geographic coverage;
• delivery capacity.

Step 3 — Assess network effects

Authorities should examine whether the transaction strengthens:

users → restaurants → data → technology → users.

Step 4 — Examine data advantages

The authority should consider whether the merged entity obtains datasets that rivals cannot replicate.

Step 5 — Examine vertical foreclosure

Could the merged company deny or disadvantage competitors?

Step 6 — Examine efficiencies

Possible efficiencies include:

• faster delivery;
• lower logistics costs;
• better routing;
• improved food safety;
• reduced wastage;
• better inventory management.

Step 7 — Consider remedies

Possible remedies include:

• divestiture;
• access obligations;
• interoperability;
• data portability;
• non-discrimination requirements;
• restrictions on information use;
• behavioural commitments.

24. FoodTech Concentration and Consumer Welfare

Competition analysis should consider more than headline prices.

Possible effects include:

Positive effects of concentration

• lower delivery costs;
• better logistics;
• improved technology;
• greater geographic coverage;
• reduced food wastage;
• better restaurant discovery;
• investment in AI and automation.

Possible negative effects

• higher commissions;
• higher delivery fees;
• reduced restaurant choice;
• lower innovation;
• exclusion of smaller platforms;
• weaker bargaining position of restaurants;
• reduced privacy/data competition;
• increased switching costs.

Therefore:

Concentration is a structural fact; anticompetitive harm requires further analysis of market power and conduct or transaction effects.

25. Special Importance of FoodTech Multi-Sided Markets

Traditional competition analysis often asks:

"What price does the consumer pay?"

FoodTech requires a broader approach because one side may pay little or nothing.

For example:

Consumers: low monetary price
Restaurants: commissions
Advertisers: advertising fees
Delivery workers: platform-dependent work
Platform: monetises data, advertising, commissions and subscriptions.

Consequently, competition authorities should examine:

• monetary price;
• non-price quality;
• delivery speed;
• privacy;
• ranking neutrality;
• restaurant commissions;
• innovation;
• data access;
• consumer choice.

26. Comparative Case-Law Principles

27. Emerging FoodTech Competition Issues

Future competition litigation is likely to increasingly concern:

1. AI restaurant ranking

AI determines which restaurants consumers see first.

2. Algorithmic pricing

Platforms use real-time information to adjust fees or prices.

3. Generative AI food marketplaces

AI assistants could become intermediaries between consumers and restaurants.

4. Autonomous delivery

Control over delivery robots and autonomous logistics networks may become an important competitive asset.

5. Cloud-kitchen ecosystems

A platform may simultaneously control the marketplace, delivery network and competing food brands.

6. Food advertising concentration

FoodTech platforms increasingly combine delivery with retail-media advertising.

7. Data portability

Restaurants may demand portability of customer, sales and performance data.

8. Interoperability

Competition authorities may examine whether platforms allow competing delivery or payment systems to interoperate.

9. Minority investments

Investments between competing FoodTech platforms may receive greater scrutiny because of information and coordination risks.

10. Vertical ecosystem concentration

The most important future question may be whether a single firm controls:

Discovery + ordering + payment + advertising + restaurant software + delivery + data.

28. Conclusion

Food technology market concentration represents a new generation of competition-law problems because market power can arise from more than traditional market share.

The strongest sources of competitive power may include:

• network effects;
• data;
• algorithms;
• delivery infrastructure;
• restaurant relationships;
• consumer ecosystems;
• switching costs;
• interoperability control;
• minority investments; and
• vertical integration.

The NRAI–Zomato/Swiggy proceedings, Zomato cases, Amazon–Deliveroo, Delivery Hero–Glovo, 365 Retail–Cantaloupe, and Sysco–US Foods collectively demonstrate that FoodTech competition law extends from conventional merger control to platform governance, data, algorithms, vertical restraints, structural links and technological infrastructure.

The fundamental legal principle is therefore:

FoodTech concentration is not unlawful merely because a market contains a powerful platform. Competition law becomes engaged when market power is acquired, maintained, strengthened or exercised in a manner that produces legally cognisable harm to competitive conditions, or when a transaction is likely to substantially lessen competition or produce an appreciable adverse effect on competition.

Competition Law and Food Technology Market Concentration

1. Introduction

Food technology (“FoodTech”) refers to technology-enabled businesses involved in food ordering, delivery, grocery platforms, restaurant-management software, digital payment systems, food marketplaces, automated food retail, cloud kitchens, food-data services, and technology-enabled food distribution.

Market concentration becomes a competition-law concern when a small number of FoodTech firms acquire substantial control over consumers, restaurants, suppliers, delivery networks, data, algorithms, payment systems, or essential technological infrastructure.

The central competition-law question is not simply whether a FoodTech market is concentrated. A concentrated market may still be competitive. The legal issue is whether concentration creates, strengthens, or facilitates market power in a manner that harms competition.

Typical concerns include:

• mergers and acquisitions between competing FoodTech platforms;
• exclusionary conduct by dominant food-delivery platforms;
• self-preferencing and discriminatory algorithms;
• exclusive dealing with restaurants or suppliers;
• parity/MFN clauses;
• tying food-delivery services to payment or advertising services;
• exploitation of restaurant and consumer data;
• interoperability restrictions;
• network effects and platform lock-in;
• coordinated conduct between competing platforms;
• minority shareholdings creating structural links between competitors;
• control over delivery infrastructure;
• concentration in FoodTech software and automated retail;
• algorithmic pricing and information exchange.

2. Relevant Competition-Law Framework

A. Market definition

FoodTech markets are frequently multi-sided markets.

A single platform may simultaneously connect:

1. consumers;
2. restaurants;
3. delivery workers;
4. advertisers;
5. grocery suppliers;
6. payment providers; and
7. technology/service providers.

Therefore, competition authorities may need to examine several related markets rather than treating the platform as operating in one conventional product market.

For example:

Restaurant → FoodTech platform → Consumer

and

Restaurant → Delivery infrastructure → Consumer

may constitute separate but interconnected competitive relationships.

In India, Section 4 of the Competition Act, 2002 addresses abuse of dominant position, while Sections 3 and 5–6 address anti-competitive agreements and combinations respectively. The CCI explains that combinations may be modified or prohibited where they cause or are likely to cause an appreciable adverse effect on competition.

3. Why FoodTech Markets Can Become Highly Concentrated

3.1 Network effects

FoodTech platforms benefit from direct and indirect network effects.

More consumers attract more restaurants.

More restaurants attract more consumers.

More transactions generate more data.

More data can improve:

• recommendations;
• delivery routing;
• demand forecasting;
• pricing;
• restaurant ranking;
• advertising;
• customer acquisition.

This creates a feedback loop:

More users → More restaurants → More transactions → More data → Better technology → More users

Consequently, an incumbent can become progressively harder to challenge.

The CCI's investigation involving the National Restaurant Association of India specifically recorded allegations concerning network effects and the "fly-wheel" effect in online food-delivery platforms.

4. Data as a Source of Market Power

FoodTech companies may accumulate enormous datasets concerning:

• consumer preferences;
• restaurant sales;
• delivery times;
• geographic demand;
• menu prices;
• discounts;
• customer frequency;
• order values;
• peak periods;
• restaurant performance.

A dominant platform can potentially use information obtained from restaurants to compete against those same restaurants through:

• private-label products;
• cloud kitchens;
• preferred restaurant listings;
• targeted advertising;
• algorithmic ranking;
• commission structures.

Thus, data concentration can reinforce traditional economic concentration.

5. Algorithmic Market Concentration

Algorithms can influence:

• search rankings;
• restaurant visibility;
• delivery allocation;
• discounts;
• surge pricing;
• advertising placement;
• customer recommendations.

Competition concerns may arise where a dominant platform uses algorithms to disadvantage competitors or trading partners.

However, the existence of an algorithm is not itself an antitrust violation.

Authorities generally need to establish:

1. relevant market;
2. market power/dominance;
3. exclusionary or exploitative conduct;
4. competitive effects; and
5. absence of sufficient objective justification where relevant.

6. Mergers and Acquisitions

FoodTech consolidation can occur through:

• acquisition of competing platforms;
• acquisition of delivery companies;
• acquisition of restaurant-management software;
• acquisition of grocery-delivery businesses;
• acquisition of payment technology;
• acquisition of food-data businesses;
• minority investments.

The competition authority may examine:

Horizontal effects

Two food-delivery platforms combine.

Vertical effects

A delivery platform acquires a restaurant-management or payment provider.

Conglomerate effects

A large digital ecosystem acquires a FoodTech platform and links it with other services.

Data effects

The merger combines datasets that competitors cannot easily reproduce.

7. Major Case Laws and Competition Decisions

Case 1 — National Restaurant Association of India v. Zomato Ltd. & Others, CCI Case No. 16/2021

This is one of the most directly relevant Indian FoodTech competition cases.

The National Restaurant Association of India challenged various practices involving Zomato and Swiggy, including allegations concerning:

• market power;
• commissions;
• exclusivity;
• price parity;
• preferential treatment;
• deep discounting;
• data advantages; and
• platform dependence of restaurants.

The CCI examined the relevant market and considered the two-sided and hyperlocal nature of food-delivery platforms. The proceedings demonstrate that market concentration cannot be assessed merely through a national market-share figure because food delivery has important geographic and platform-specific characteristics.

Competition-law significance

The case illustrates:

• multi-sided platform analysis;
• network effects;
• market definition;
• platform dependency;
• vertical restraints;
• restaurant-platform bargaining power;
• algorithmic/platform economics.

Principle

High market share is relevant evidence of market power, but dominance must be assessed through the complete competitive structure of the relevant market.

8. Case 2 — Rohit Arora v. Zomato Pvt. Ltd., CCI Case No. 54/2020

The complaint concerned Zomato's food-delivery operations and alleged:

• excessive delivery charges;
• discriminatory charges;
• algorithmic manipulation;
• restrictions affecting restaurant delivery;
• tying or leveraging of food-ordering and delivery services; and
• abuse of market position.

The CCI considered the development of Zomato's delivery infrastructure, including its acquisition of Runnr and subsequent expansion of food-delivery operations.

Competition-law significance

This decision is important for understanding how a FoodTech platform can move from being an intermediary into controlling additional layers of the food ecosystem.

A platform can potentially expand across:

restaurant discovery → ordering → payment → delivery → advertising → data

Such vertical expansion can increase efficiency but can also create competition concerns if dominance in one layer is used to exclude competitors in another.

9. Case 3 — Prachi Agarwal & Others v. Swiggy, CCI Case No. 39/2019

This case concerned allegations involving Swiggy's food-delivery platform.

The matter illustrates the application of Indian competition law to technology-enabled food marketplaces and the importance of examining whether alleged platform practices actually result in an appreciable adverse effect on competition or abuse of dominance.

The CCI records the matter as an antitrust proceeding under Section 19(1)(a) of the Competition Act.

Competition-law significance

The case demonstrates that:

A complaint against a large technology platform does not automatically establish dominance or abuse.

Competition analysis requires evidence concerning:

• relevant market;
• market position;
• competitive constraints;
• nature of the alleged conduct; and
• actual or likely competitive harm.

10. Case 4 — Amazon / Deliveroo, UK CMA

The UK Competition and Markets Authority investigated Amazon's minority investment in Deliveroo.

The transaction was particularly important because Amazon had previously operated in online restaurant delivery and could potentially have become a stronger competitor to Deliveroo.

The CMA initially identified concerns that Amazon's investment could discourage Amazon from re-entering online restaurant food delivery and could affect competition in online convenience grocery delivery.

The matter subsequently proceeded to an in-depth investigation.

Ultimately, the CMA cleared Amazon's 16% investment after concluding that the transaction would not substantially lessen competition. The CMA nevertheless noted that a greater degree of control, such as a controlling acquisition, could require further investigation.

Competition-law significance

This case is particularly important for minority-shareholding concentration.

A transaction does not necessarily need to produce complete ownership to create competition concerns.

A minority investment may matter where it:

• changes competitive incentives;
• provides strategic information;
• influences business decisions;
• creates structural links between competitors;
• discourages independent competitive expansion.

11. Case 5 — Delivery Hero / Glovo — European Commission Food Delivery Cartel

The European Commission's investigation into Delivery Hero and Glovo illustrates a different form of FoodTech concentration.

The Commission investigated concerns involving:

• geographic market allocation;
• exchange of commercially sensitive information;
• no-poach arrangements; and
• the effect of a minority shareholding between competing platforms.

The Commission subsequently fined Delivery Hero and Glovo €329 million in 2025 for cartel participation in the online food-delivery sector. The conduct included exchanges of commercially sensitive information and agreements concerning geographic markets.

Competition-law significance

This case demonstrates that concentration concerns are not restricted to formal mergers.

Structural links between competitors + information exchange + market allocation can substantially weaken competitive independence.

It also demonstrates the importance of examining:

ownership structure + information flows + geographic expansion + competitive strategy.

12. Case 6 — 365 Retail Markets / Cantaloupe, FTC, 2026

This is an important modern example of FoodTech infrastructure concentration.

The FTC challenged the proposed $848 million acquisition of Cantaloupe by 365 Retail Markets.

The relevant technology involved micromarket kiosks, which are automated food-retail environments used in workplaces and other locations.

The FTC stated that the transaction would combine the two largest providers of micromarket kiosks and related software and services. The proposed resolution required divestiture of Cantaloupe's Three Square Market business to preserve a competing technology-enabled provider.

Competition-law significance

This case demonstrates that FoodTech competition law extends beyond:

• Uber Eats-type delivery platforms;
• restaurant applications; and
• grocery marketplaces.

It also covers software, kiosks, payment technology and automated food-retail infrastructure.

The case therefore illustrates a modern theory of FoodTech concentration:

Technology infrastructure itself can become an important competitive bottleneck.

13. Case 7 — Sysco / US Foods, FTC

Although this case concerns foodservice distribution rather than a pure digital platform, it is highly relevant to FoodTech supply-chain concentration.

The FTC challenged the proposed merger between Sysco and US Foods.

The agencies alleged that the combination would substantially reduce competition in national broadline foodservice distribution and in numerous local markets. The proposed combination was particularly significant because the two companies were major competitors serving restaurants, hotels, hospitals and other institutional customers.

The federal court preliminarily blocked the transaction, and the parties ultimately abandoned it. The FTC stated that the combined company would have represented approximately 75% of sales to national customers in the relevant broadline distribution segment.

Competition-law significance

The case illustrates a fundamental principle applicable to FoodTech:

Control over food-distribution infrastructure can produce competition concerns even where the technology layer itself is not the principal relevant market.

14. Case 8 — Grubhub — FTC and Illinois

The FTC and Illinois Attorney General brought enforcement proceedings against Grubhub concerning practices affecting diners, workers and restaurants.

The matter involved allegations concerning:

• misleading delivery costs;
• representations concerning driver earnings;
• restrictions concerning customer accounts and funds;
• restaurant listings without authorization.

The matter resulted in a $25 million settlement and operational requirements concerning disclosure and restaurant listings.

Competition-law significance

Although the proceeding involved consumer-protection issues rather than a conventional market-concentration merger case, it demonstrates an important principle:

Platform power can generate regulatory concerns even where the principal legal theory is not simply excessive market share.

15. Major Competition Concerns in FoodTech Concentration

A. Horizontal concentration

The clearest concern arises when:

FoodTech Platform A + FoodTech Platform B = substantially fewer independent competitors.

Potential consequences include:

• increased commissions;
• reduced restaurant choice;
• higher advertising costs;
• fewer delivery alternatives;
• reduced innovation;
• reduced incentives to improve service.

B. Vertical concentration

Consider:

Food marketplace + delivery network + payment system + restaurant software

A company controlling all four layers could potentially disadvantage competitors by:

• denying interoperability;
• withholding data;
• imposing discriminatory access conditions;
• tying services;
• increasing switching costs.

C. Data concentration

A dominant FoodTech company may possess information about:

• restaurant revenues;
• customer preferences;
• delivery efficiency;
• geographic demand;
• product performance;
• pricing.

The competitive question is whether the accumulated data gives the firm an advantage that competitors cannot reasonably replicate.

16. Self-Preferencing

A FoodTech platform can act simultaneously as:

1. marketplace operator; and
2. participant in the marketplace.

For example:

Platform hosts restaurants → platform launches its own food brand → platform controls ranking.

Potential competition concerns arise if the platform systematically places its own products above competing restaurants.

Relevant factors include:

• ranking algorithms;
• search visibility;
• advertising;
• access to customer data;
• commission structures;
• recommendation systems.

17. Exclusivity and Restaurant Lock-In

Platforms may attempt to obtain exclusive arrangements with:

• major restaurant chains;
• cloud kitchens;
• grocery suppliers;
• delivery providers;
• food manufacturers.

Exclusive arrangements may be legitimate and efficiency-enhancing.

However, they may raise competition concerns when a dominant platform uses exclusivity to prevent rivals from obtaining sufficient scale.

18. Price Parity / MFN Clauses

A platform might require a restaurant not to offer lower prices on another platform.

For example:

Restaurant must not charge consumers less through Platform B than through Platform A.

Such clauses can reduce price competition between platforms.

Competition authorities may therefore examine whether parity clauses:

• prevent platform switching;
• protect platform commissions;
• discourage new entrants;
• increase platform fees;
• reduce consumer price competition.

19. Network Effects and Entry Barriers

FoodTech concentration can create significant barriers to entry.

A new platform may need simultaneously to obtain:

• restaurants;
• consumers;
• delivery workers;
• payment infrastructure;
• logistics;
• data;
• advertising customers.

This creates a chicken-and-egg problem:

Consumers want restaurants → restaurants want consumers.

An established platform with millions of users can overcome this problem more easily than a new entrant.

20. Switching Costs

Consumers and restaurants may become dependent on a particular platform because of:

• loyalty programmes;
• accumulated reviews;
• customer histories;
• integrated payment systems;
• promotional credits;
• delivery subscriptions;
• restaurant-management software;
• advertising tools.

The greater the switching cost, the more difficult it may be for competitors to challenge the incumbent.

21. Algorithmic Discrimination

A FoodTech platform may use algorithms to determine:

• restaurant ranking;
• delivery allocation;
• commission levels;
• discounts;
• advertising visibility;
• customer-specific prices.

Competition authorities may investigate whether algorithms are being used to:

• discriminate against competing restaurants;
• favour affiliated businesses;
• exclude rivals;
• implement discriminatory pricing;
• facilitate coordination.

The legal analysis must distinguish legitimate algorithmic optimisation from conduct that produces an exclusionary effect.

22. FoodTech and Essential Facilities

Certain FoodTech infrastructure may become competitively significant because competitors cannot easily reproduce it.

Examples include:

• highly developed delivery networks;
• restaurant-management interfaces;
• payment infrastructure;
• proprietary logistics systems;
• critical food-market data;
• automated retail infrastructure.

However, not every important platform is an essential facility.

A competition authority normally needs to examine whether:

1. the facility is genuinely indispensable;
2. duplication is impracticable;
3. access is necessary for effective competition; and
4. refusal or discriminatory access produces competitive harm.

23. Merger-Control Analysis

Competition authorities should examine FoodTech transactions through several dimensions.

Step 1 — Define relevant markets

Possible markets include:

• online restaurant ordering;
• food delivery;
• grocery delivery;
• restaurant-management software;
• digital food advertising;
• automated food retail;
• foodservice distribution;
• payment technology.

Step 2 — Measure market concentration

Relevant indicators include:

• market shares;
• HHI;
• transaction volume;
• consumer usage;
• restaurant coverage;
• geographic coverage;
• delivery capacity.

Step 3 — Assess network effects

Authorities should examine whether the transaction strengthens:

users → restaurants → data → technology → users.

Step 4 — Examine data advantages

The authority should consider whether the merged entity obtains datasets that rivals cannot replicate.

Step 5 — Examine vertical foreclosure

Could the merged company deny or disadvantage competitors?

Step 6 — Examine efficiencies

Possible efficiencies include:

• faster delivery;
• lower logistics costs;
• better routing;
• improved food safety;
• reduced wastage;
• better inventory management.

Step 7 — Consider remedies

Possible remedies include:

• divestiture;
• access obligations;
• interoperability;
• data portability;
• non-discrimination requirements;
• restrictions on information use;
• behavioural commitments.

24. FoodTech Concentration and Consumer Welfare

Competition analysis should consider more than headline prices.

Possible effects include:

Positive effects of concentration

• lower delivery costs;
• better logistics;
• improved technology;
• greater geographic coverage;
• reduced food wastage;
• better restaurant discovery;
• investment in AI and automation.

Possible negative effects

• higher commissions;
• higher delivery fees;
• reduced restaurant choice;
• lower innovation;
• exclusion of smaller platforms;
• weaker bargaining position of restaurants;
• reduced privacy/data competition;
• increased switching costs.

Therefore:

Concentration is a structural fact; anticompetitive harm requires further analysis of market power and conduct or transaction effects.

25. Special Importance of FoodTech Multi-Sided Markets

Traditional competition analysis often asks:

"What price does the consumer pay?"

FoodTech requires a broader approach because one side may pay little or nothing.

For example:

Consumers: low monetary price
Restaurants: commissions
Advertisers: advertising fees
Delivery workers: platform-dependent work
Platform: monetises data, advertising, commissions and subscriptions.

Consequently, competition authorities should examine:

• monetary price;
• non-price quality;
• delivery speed;
• privacy;
• ranking neutrality;
• restaurant commissions;
• innovation;
• data access;
• consumer choice.

26. Comparative Case-Law Principles

27. Emerging FoodTech Competition Issues

Future competition litigation is likely to increasingly concern:

1. AI restaurant ranking

AI determines which restaurants consumers see first.

2. Algorithmic pricing

Platforms use real-time information to adjust fees or prices.

3. Generative AI food marketplaces

AI assistants could become intermediaries between consumers and restaurants.

4. Autonomous delivery

Control over delivery robots and autonomous logistics networks may become an important competitive asset.

5. Cloud-kitchen ecosystems

A platform may simultaneously control the marketplace, delivery network and competing food brands.

6. Food advertising concentration

FoodTech platforms increasingly combine delivery with retail-media advertising.

7. Data portability

Restaurants may demand portability of customer, sales and performance data.

8. Interoperability

Competition authorities may examine whether platforms allow competing delivery or payment systems to interoperate.

9. Minority investments

Investments between competing FoodTech platforms may receive greater scrutiny because of information and coordination risks.

10. Vertical ecosystem concentration

The most important future question may be whether a single firm controls:

Discovery + ordering + payment + advertising + restaurant software + delivery + data.

28. Conclusion

Food technology market concentration represents a new generation of competition-law problems because market power can arise from more than traditional market share.

The strongest sources of competitive power may include:

• network effects;
• data;
• algorithms;
• delivery infrastructure;
• restaurant relationships;
• consumer ecosystems;
• switching costs;
• interoperability control;
• minority investments; and
• vertical integration.

The NRAI–Zomato/Swiggy proceedings, Zomato cases, Amazon–Deliveroo, Delivery Hero–Glovo, 365 Retail–Cantaloupe, and Sysco–US Foods collectively demonstrate that FoodTech competition law extends from conventional merger control to platform governance, data, algorithms, vertical restraints, structural links and technological infrastructure.

The fundamental legal principle is therefore:

FoodTech concentration is not unlawful merely because a market contains a powerful platform. Competition law becomes engaged when market power is acquired, maintained, strengthened or exercised in a manner that produces legally cognisable harm to competitive conditions, or when a transaction is likely to substantially lessen competition or produce an appreciable adverse effect on competitio