Competition Law and Smart Mobility Ecosystem Regulation

1. Introduction

A smart mobility ecosystem is a digitally connected transportation system in which ride-hailing platforms, public transport, taxis, electric vehicles (EVs), charging networks, navigation applications, mobility-as-a-service (MaaS) platforms, autonomous vehicles, vehicle manufacturers, payment systems, mapping services and data providers interact through common digital infrastructure.

Competition law becomes particularly important because smart mobility markets are characterised by:

• strong network effects;
• large-scale collection and use of mobility data;
• algorithmic pricing;
• platform-based intermediation;
• interoperability between vehicles and digital services;
• vertical integration between vehicle manufacturers, software and charging infrastructure;
• exclusivity arrangements with drivers or fleet operators;
• multi-sided markets connecting passengers, drivers, advertisers, charging providers and other businesses; and
• the possibility that one platform can become a gatekeeper for an entire mobility ecosystem.

The central competition-law question is therefore not merely whether two taxi companies compete. It is whether control over data, platforms, interfaces, charging infrastructure, operating systems and users can be used to restrict competition in neighbouring mobility markets.

2. Meaning of Smart Mobility Ecosystem

The ecosystem may be represented as follows:

Vehicle Manufacturers
↓
Vehicle Operating Systems / Infotainment Platforms
↓
Navigation + Mobility Applications
↓
Ride-Hailing / MaaS Platforms
↓
Drivers + Fleet Operators + Public Transport
↓
EV Charging / Battery-Swapping Networks
↓
Payments + Insurance + Data Services

Several of these layers may be controlled by the same undertaking.

For example, an undertaking might simultaneously operate:

1. a vehicle operating system;
2. a navigation application;
3. a charging application;
4. a payment system;
5. a ride-hailing platform; and
6. a large mobility-data database.

This creates potential vertical foreclosure and ecosystem dominance.

3. Major Competition-Law Issues

A. Relevant Market Definition

Traditional competition law usually begins by defining the relevant product and geographic market.

Smart mobility makes this difficult because several apparently separate services may compete or complement one another.

Possible markets include:

• ride-hailing services;
• taxi-booking platforms;
• MaaS platforms;
• EV charging services;
• charging-roaming platforms;
• navigation applications;
• vehicle infotainment platforms;
• mobility-data services;
• autonomous-driving software;
• fleet-management software;
• public-transport ticketing platforms.

The relevant market may therefore be narrow or ecosystem-based, depending upon substitutability.

For example, in the Indian Uber litigation, the Competition Commission examined the market for radio taxi services in Delhi-NCR, rather than treating every possible form of urban transportation as part of the same market.

4. Network Effects

Smart mobility platforms exhibit powerful two-sided or multi-sided network effects.

More passengers
→ more drivers
→ shorter waiting times
→ more passengers
→ more data
→ better algorithms
→ greater platform attractiveness.

This can create a self-reinforcing competitive advantage.

A new entrant may therefore face difficulty even if its technology is equally good.

The Singapore Grab-Uber investigation specifically considered strong network effects and barriers to entry and expansion in the ride-hailing platform market.

Competition concern

Network effects may produce:

• winner-takes-most dynamics;
• high switching costs;
• driver lock-in;
• passenger lock-in;
• exclusion of smaller platforms;
• data advantages; and
• increased bargaining power over drivers.

5. Data as a Competitive Asset

Mobility platforms collect enormous amounts of data concerning:

• passenger locations;
• travel patterns;
• driver availability;
• prices;
• traffic;
• charging behaviour;
• vehicle utilisation;
• routes;
• demand fluctuations;
• customer preferences.

Data can therefore become an important competitive input.

A dominant platform could potentially:

• refuse access to commercially important data;
• provide inferior data access to competitors;
• combine data from multiple services;
• use competitor-generated data to compete against those competitors;
• discriminate between affiliated and unaffiliated applications.

Consequently, competition authorities increasingly need to examine data foreclosure alongside conventional price effects.

6. Interoperability and Platform Access

One of the most important smart-mobility competition issues is interoperability.

Suppose:

A vehicle operating system permits its own navigation and charging application to operate fully but prevents competing charging applications from functioning through the vehicle's dashboard.

The platform may technically be open, but functionally it may discriminate against competitors.

This issue was directly addressed in Alphabet and Others v AGCM, Case C-233/23, concerning Google's Android Auto and Enel X's JuicePass electric-vehicle charging application.

The CJEU held in February 2025 that a dominant undertaking's refusal to ensure interoperability between its digital platform and a third-party application can constitute abuse even where the platform is not technically indispensable to the downstream business, provided the relevant competitive conditions are satisfied.

This is especially significant for smart mobility because the Court distinguished between infrastructure developed purely for the dominant firm's own needs and infrastructure designed to accommodate third-party applications.

Principle

Interoperability can itself become a competition-law obligation where control over a digital mobility interface enables exclusion of competing services.

7. Essential-Facility Concerns

Smart mobility can create new forms of essential facilities.

Examples include:

• EV charging networks;
• vehicle operating systems;
• mobility-data platforms;
• automated toll infrastructure;
• smart parking systems;
• public transport APIs;
• digital ticketing infrastructure;
• autonomous-driving communication systems.

A dominant operator's refusal to provide access can potentially constitute an abuse of dominance where the legal requirements for an access obligation are satisfied.

The Alphabet/Android Auto judgment is particularly relevant because the CJEU explained that the strict indispensability requirement associated with Bronner does not necessarily apply in the same manner where a dominant undertaking has developed a digital platform specifically designed to permit third-party access.

8. Exclusivity Agreements

Mobility platforms may enter into exclusivity arrangements with:

• drivers;
• taxi fleets;
• vehicle-rental companies;
• charging stations;
• car manufacturers;
• payment providers;
• fleet-management companies.

Such arrangements may restrict competitors' access to essential participants.

Example

If a dominant ride-hailing platform requires drivers to work exclusively for it, a competing platform may be unable to establish sufficient driver density.

This was a major concern in the Grab-Uber case.

CCCS required measures including removal of certain driver and taxi-fleet exclusivity arrangements and sought to preserve drivers' freedom to use competing platforms.

9. Predatory Pricing and Subsidisation

Smart mobility platforms frequently use:

• passenger discounts;
• driver incentives;
• promotional credits;
• free rides;
• subscription benefits;
• charging discounts.

Aggressive pricing may be legitimate competition, but competition law becomes relevant when below-cost pricing is used by a dominant undertaking with an exclusionary strategy.

The issue arose prominently in the Indian Uber/Ola litigation.

In Uber India Systems Pvt. Ltd. v Competition Commission of India, the Supreme Court considered allegations concerning substantial incentives and below-cost pricing and allowed the investigation process to proceed.

The important legal distinction is:

Low price ≠ automatically predatory price.

The authority must generally examine:

1. whether the undertaking is dominant;
2. the appropriate measure of cost;
3. duration of below-cost pricing;
4. exclusionary intent/effect where required by the applicable law; and
5. prospects of recoupment where relevant.

10. Algorithmic Pricing

Smart mobility platforms commonly use algorithms to determine:

• passenger fares;
• surge pricing;
• driver incentives;
• route allocation;
• commission rates.

Algorithms can improve efficiency but can also generate competition concerns.

Potential risks include:

1. Algorithmic coordination

Competitors may use algorithms that facilitate parallel pricing.

2. Discriminatory pricing

Different users may receive different prices based upon data profiles.

3. Self-preferencing

A platform may favour its own mobility services.

4. Exclusionary incentives

A dominant platform may use algorithms to allocate incentives disproportionately against competitors.

5. Reduced transparency

Drivers and passengers may not know how prices are calculated.

Competition law must therefore examine the economic effect of algorithmic systems, not merely whether an employee directly communicated with a competitor.

11. Vertical Integration

Smart mobility encourages vertical integration.

A single corporate group might control:

Vehicle → Operating System → Navigation → Charging → Payment → Mobility Platform

Vertical integration can create efficiencies but can also permit foreclosure.

For example:

A vehicle manufacturer owning a charging network could make its own charging service easier to access than rival charging networks.

Possible competition concerns include:

• discriminatory access;
• tying;
• bundling;
• self-preferencing;
• refusal to interoperate;
• technical degradation;
• exclusive agreements;
• discriminatory pricing.

The 2025 Alphabet/Enel X judgment illustrates how control over a digital platform connected to vehicles can have consequences for competition in adjacent mobility services.

12. Merger Control in Smart Mobility

Mergers involving mobility platforms require special attention because conventional turnover thresholds may fail to capture the competitive importance of digital platforms.

Relevant transactions may include:

• ride-hailing platform acquisitions;
• EV charging acquisitions;
• autonomous-driving technology acquisitions;
• mapping-platform acquisitions;
• MaaS mergers;
• battery-swapping networks;
• mobility-data acquisitions.

Authorities should examine:

Horizontal effects

Will two competing mobility platforms disappear?

Vertical effects

Will a vehicle manufacturer acquire a charging network?

Conglomerate effects

Will a dominant navigation platform acquire a ride-hailing application?

Data effects

Will the transaction combine previously separate mobility datasets?

Ecosystem effects

Will competitors become dependent on a single integrated platform?

13. Six Important Case Laws

1. Alphabet Inc. and Others v AGCM — C-233/23 (CJEU, 2025)

Facts

Enel X operated JuicePass, an application for locating and using EV charging stations. It sought interoperability with Google's Android Auto platform.

Google did not initially provide the necessary interoperability.

The Italian competition authority found abusive conduct and imposed a fine exceeding €100 million.

Legal issue

Whether a dominant digital-platform operator can abuse its position by refusing interoperability with a competing third-party application.

Principle

The CJEU held that refusal to ensure interoperability can constitute abuse even where the platform is not indispensable in the strict traditional sense, provided the platform was developed to accommodate third-party applications and the refusal is capable of restricting competition.

Smart mobility significance

This is a particularly important precedent for:

• EV charging;
• vehicle infotainment;
• navigation;
• MaaS;
• connected vehicles;
• mobility APIs.

2. Grab/Uber — CCCS Infringement Decision, Singapore (2018)

Facts

Uber sold its Southeast Asian business to Grab in exchange for a 27.5% stake in Grab.

CCCS investigated the transaction immediately after completion.

It concluded that the transaction substantially lessened competition in Singapore's ride-hailing platform market.

Competition concerns

The authority considered:

• removal of Uber as Grab's closest competitor;
• network effects;
• barriers to entry;
• driver exclusivity;
• taxi-fleet exclusivity;
• pricing;
• commissions.

CCCS found that effective fares had increased by approximately 10–15% following the transaction.

Remedies

CCCS imposed measures relating to:

• driver freedom;
• taxi-fleet exclusivity;
• pricing;
• commissions;
• access to vehicles.

Significance

The case demonstrates that ride-hailing mergers can create substantial competition problems even when the transaction is structured as an acquisition of business assets rather than a traditional share acquisition.

3. Uber v Competition and Consumer Commission of Singapore — Competition Appeal Board (2020)

Uber appealed the Grab-Uber infringement decision.

The Competition Appeal Board dismissed the appeal and upheld the finding that the transaction substantially lessened competition, together with the relevant directions and financial penalty.

Significance

The case establishes an important principle for digital mobility:

Competition analysis must consider the competitive constraint actually provided by a platform, not merely the number of transportation providers remaining after the transaction.

This is particularly relevant where a merger eliminates a close digital competitor.

4. Meru Travel Solutions Pvt. Ltd. v Uber India Systems Pvt. Ltd. — CCI, 2021

Facts

Meru alleged that Uber had:

• engaged in predatory pricing;
• offered substantial discounts;
• provided driver incentives;
• used exclusivity arrangements; and
• abused dominance in Delhi-NCR radio taxi services.

The CCI examined the relevant market as radio taxi services in Delhi-NCR.

Finding

The CCI concluded that Uber did not possess the required dominant position at the relevant time because of competitive constraints, particularly from Ola.

Consequently, an abuse-of-dominance finding could not be established.

Significance

The case demonstrates that:

High market share alone does not necessarily establish dominance in a rapidly evolving platform market.

Authorities may need to consider:

• durability of market share;
• network effects;
• switching;
• entry;
• innovation;
• competitive constraints;
• multi-homing.

5. Uber India Systems Pvt. Ltd. v Competition Commission of India — Supreme Court of India

This litigation concerned allegations of predatory pricing by Uber in India's radio-taxi market.

The Supreme Court considered material relating to Uber's substantial incentives and losses per trip and declined to interfere with the investigation process at the relevant stage.

Competition principle

The case illustrates the importance of examining:

• below-cost pricing;
• market dominance;
• exclusionary effects;
• incentives;
• platform economics.

Smart mobility significance

Traditional predatory-pricing analysis can be difficult when platforms subsidise one side of a two-sided market.

For example:

Passenger prices may be below cost while the platform derives value from drivers, advertising, data or other services.

Therefore, competition authorities need to understand the whole platform business model.

6. Fast Track Call Cab Pvt. Ltd. v Competition Commission of India — NCLAT, 2022

The litigation concerned allegations against Ola involving:

• predatory pricing;
• driver arrangements;
• dominance;
• exclusion of competitors.

The proceedings examined whether Ola possessed a dominant position and whether its driver arrangements could amount to anti-competitive conduct.

Significance

The case illustrates the difficulty of applying traditional dominance analysis to a market containing multiple powerful platforms.

It also demonstrates that driver access can become an important competitive variable.

A mobility platform may have difficulty competing if its rivals control a substantial proportion of available drivers.

14. Comparative Case-Law Table

15. Smart Mobility and Abuse of Dominance

A dominant smart-mobility undertaking may potentially engage in:

Section-type abuses / Article 102-type conduct

1. Refusal to deal
2. Refusal of interoperability
3. Discriminatory access
4. Self-preferencing
5. Predatory pricing
6. Excessive pricing
7. Tying
8. Bundling
9. Exclusive dealing
10. Data foreclosure
11. Technical degradation
12. Discriminatory algorithms

The Alphabet/Android Auto judgment is particularly important because it demonstrates that competition law can address digital access to a vehicle ecosystem, not merely traditional physical infrastructure.

16. Smart Mobility and Vertical Agreements

Potentially problematic agreements include:

A. Driver exclusivity

Platform → Driver
"You cannot work for another platform."

B. Fleet exclusivity

Platform → Taxi fleet
"All vehicles must use our platform."

C. Charging exclusivity

Charging operator → Vehicle manufacturer
"Only our charging application may be installed."

D. Data restrictions

Platform → Driver
"All mobility data generated through your vehicle belongs exclusively to us."

E. MFN / parity provisions

Platform → Mobility provider
"You cannot offer better prices on another platform."

The legality of each arrangement depends on the relevant jurisdiction, market power, duration, effects and applicable exemptions.

17. Competition in EV Charging

EV charging presents a particularly important smart-mobility competition problem.

The ecosystem may contain:

EV manufacturer → charging network → charging app → payment system → navigation platform

Possible competition concerns include:

• exclusive charging contracts;
• denial of roaming;
• incompatible charging software;
• discriminatory API access;
• preferential treatment for affiliated vehicles;
• refusal to provide charging-station data;
• tying charging services to vehicle purchases;
• acquisition of competing charging networks.

The Alphabet/Enel X litigation is directly relevant because the dispute concerned access to a vehicle-interface platform for an EV-charging application.

18. Mobility-as-a-Service (MaaS)

MaaS integrates:

• buses;
• metro;
• trains;
• taxis;
• ride-hailing;
• bike sharing;
• car sharing;
• parking;
• EV charging;
• digital payment.

A MaaS platform could therefore become a gateway to multiple transportation markets.

Competition authorities may need to examine:

Access

Can competing mobility providers connect to the platform?

Data

Can operators obtain necessary journey and availability information?

Ticketing

Can competitors sell services through the MaaS platform?

Ranking

Does the platform favour its affiliated services?

Pricing

Are competitors charged discriminatory commissions?

Interoperability

Can consumers combine different modes in one journey?

19. Smart Mobility and Self-Preferencing

Suppose a dominant vehicle operating system displays:

1. its own navigation application;
2. its own charging service;
3. its own ride-hailing service;

above competing applications.

It may potentially have the ability to:

• manipulate rankings;
• restrict visibility;
• make rival applications difficult to access;
• use privileged data;
• impose technical disadvantages.

This creates a gatekeeper problem.

The key issue is not simply whether the dominant undertaking owns the platform, but whether platform control is being used to distort competition in adjacent markets.

20. Regulation Beyond Competition Law

Smart mobility cannot be regulated solely through antitrust law.

A comprehensive regulatory framework should combine:

1. Competition law

Controls:

• dominance;
• cartels;
• exclusion;
• anti-competitive mergers.

2. Data regulation

Controls:

• collection;
• portability;
• sharing;
• privacy;
• interoperability.

3. Transport regulation

Controls:

• licensing;
• safety;
• vehicle standards;
• taxi/aggregator requirements.

4. Digital-platform regulation

Controls:

• gatekeepers;
• interoperability;
• self-preferencing;
• transparency.

5. Consumer protection

Controls:

• misleading prices;
• cancellation;
• subscription practices;
• discriminatory treatment.

6. Infrastructure regulation

Controls:

• EV charging;
• public transport access;
• telecommunications;
• smart-road infrastructure.

21. Regulatory Remedies

Competition authorities may employ several remedies.

Structural remedies

• divestiture;
• separation of business units;
• prohibition of acquisitions.

Behavioural remedies

• interoperability obligations;
• non-discrimination;
• access obligations;
• prohibition of exclusivity;
• data portability;
• API access;
• transparent algorithms.

Merger remedies

• divestiture of charging networks;
• licensing of technology;
• access to mobility data;
• interoperability commitments.

The Grab-Uber matter demonstrates how behavioural measures can be used to preserve contestability, including restrictions on exclusivity and measures concerning pricing and commissions.

22. Competition-Law Test for Smart Mobility Platforms

A useful analytical framework is:

Step 1 — Identify the ecosystem

What services and infrastructure are connected?

Step 2 — Define relevant markets

Identify:

• product market;
• geographic market;
• upstream market;
• downstream market.

Step 3 — Identify market power

Consider:

• market share;
• network effects;
• data;
• switching costs;
• multi-homing;
• entry barriers;
• financial resources.

Step 4 — Examine conduct

Ask whether there is:

• exclusion;
• discrimination;
• tying;
• bundling;
• predatory pricing;
• refusal to interoperate;
• exclusivity.

Step 5 — Analyse competitive effects

Consider:

• foreclosure;
• prices;
• quality;
• innovation;
• consumer choice;
• entry;
• driver welfare where legally relevant.

Step 6 — Examine efficiencies

Possible efficiencies include:

• improved safety;
• lower transaction costs;
• better routing;
• reduced congestion;
• faster charging;
• improved utilisation of vehicles.

Step 7 — Select remedy

Possible remedies:

Access → Interoperability → Non-discrimination → Data portability → Behavioural commitments → Structural separation

23. Special Importance of the Alphabet/Enel X Case

Among the cases discussed, Alphabet/Enel X is particularly significant for the future of smart mobility because the dispute connects three traditionally separate areas:

Digital platform dominance + vehicle technology + EV charging

The CJEU's reasoning recognises that a digital platform integrated into vehicles can become an important competitive gateway for third-party applications.

Thus, future competition disputes may concern not merely:

"Who owns the taxi fleet?"

but:

"Who controls the digital gateway through which consumers access mobility services?"

That is the central competition-law challenge of the smart mobility ecosystem.

24. Conclusion

Smart mobility transforms competition from a traditional firm-versus-firm problem into an ecosystem-versus-ecosystem problem.

The principal competition risks are:

1. platform dominance;
2. network effects;
3. driver and fleet exclusivity;
4. data concentration;
5. algorithmic pricing;
6. self-preferencing;
7. refusal of interoperability;
8. EV-charging foreclosure;
9. vertical integration;
10. anti-competitive mergers; and
11. control over mobility gateways.

The Grab-Uber litigation demonstrates the importance of merger control in ride-hailing platforms, while the Indian Uber/Ola cases demonstrate the difficulties of assessing dominance and predatory pricing in rapidly developing two-sided markets.

Most importantly, Alphabet/Enel X (C-233/23) demonstrates how modern competition law can address interoperability and access to a digital platform embedded in the vehicle environment.