Competition Law and Industrial Automation Platform Competition

1. Introduction

Industrial automation platforms are digital systems used to monitor, control, optimise and coordinate industrial processes. They increasingly combine:

industrial control software;

programmable logic controllers (PLCs);

supervisory control and data acquisition (SCADA);

industrial Internet of Things (IIoT);

robotics;

sensors;

digital twins;

predictive-maintenance systems;

industrial cloud platforms;

machine-learning systems;

industrial cybersecurity;

analytics and optimisation software.

Major industrial automation ecosystems can therefore connect hardware, software, data, cloud infrastructure and industrial services.

From a competition-law perspective, this creates the possibility of platform dominance: an undertaking may become powerful not merely because it sells automation equipment, but because its technology becomes the infrastructure through which factories, machines, suppliers and software developers interact.

The central competition question is:

Can an industrial automation platform use control over a technological layer to restrict competition in complementary or downstream markets?

2. What Is an Industrial Automation Platform?

A traditional industrial automation product might be a PLC or robotic controller.

A modern automation platform is broader:

Sensors
↓
Industrial controller
↓
Automation software
↓
Industrial data
↓
Cloud/edge infrastructure
↓
Analytics/AI
↓
Predictive maintenance
↓
Industrial optimisation

The platform may therefore serve as an interface between:

machine manufacturers;

factories;

software developers;

systems integrators;

maintenance providers;

industrial-data providers.

This makes competition potentially multi-layered and ecosystem-based.

3. Relevant Competition-Law Markets

An industrial automation investigation may require several relevant markets rather than one broad "automation market."

Potential markets include:

A. PLC markets

Programmable logic controllers used to control industrial machinery.

B. SCADA markets

Systems for supervising and controlling industrial processes.

C. Industrial robotics

Robotic hardware and control systems.

D. Industrial software

Engineering, manufacturing execution and automation-management software.

E. Industrial cloud platforms

Cloud services specifically designed for industrial operations.

F. Industrial analytics

Software analysing operational data.

G. Industrial cybersecurity

Security systems for operational technology.

H. Systems integration

Services connecting different automation components.

The exact market definition depends upon substitutability, customer requirements, technology and geographic scope.

4. Why Platform Power Can Arise

Industrial automation markets often have several characteristics that can support market power.

High switching costs

Replacing an automation system may require:

new hardware;

software migration;

employee retraining;

factory downtime;

new engineering;

safety validation.

Long product lifecycles

Industrial equipment may remain operational for many years.

Compatibility requirements

Factories need equipment to communicate reliably.

Network effects

More users can encourage more:

developers;

integrators;

compatible equipment;

training providers.

Installed-base effects

An established automation platform can benefit from a large installed base.

5. Installed Base as a Competitive Advantage

Suppose Platform A controls automation systems in 50,000 factories.

Those factories have:

trained engineers;

existing software;

compatible machines;

historical data;

maintenance contracts.

A new platform must convince customers to abandon or modify this ecosystem.

The incumbent therefore possesses an installed-base advantage.

This is not necessarily unlawful.

However, competition concerns may arise if the incumbent deliberately uses the installed base to prevent competing platforms from entering.

6. Interoperability

Interoperability is one of the most important issues.

A factory may use equipment from multiple suppliers:

Robot A + PLC B + Sensor C + Software D.

If the dominant platform prevents interoperability, customers may become locked into one ecosystem.

Potential conduct includes:

withholding interfaces;

restricting APIs;

proprietary communication protocols;

discriminatory access;

contractual restrictions;

technical degradation of interoperability.

The legal analysis depends on market power and the competitive significance of the interoperability restriction.

7. Industrial Data as a Strategic Asset

Automation platforms can collect enormous quantities of industrial data:

production volumes;

machine performance;

downtime;

energy consumption;

maintenance schedules;

production efficiency;

equipment failures;

supply-chain information.

This data can improve predictive analytics.

Consequently:

More machines → more data → better analytics → more customers → more machines.

This can create a data-driven network effect.

8. Data Lock-In

Suppose a factory has used Platform A for ten years.

Platform A has accumulated:

machine histories;

maintenance records;

operational models;

digital twins;

performance data.

If the customer cannot export this information into another platform, switching may become expensive.

This creates data-related switching costs.

Competition authorities may therefore consider:

data portability;

API access;

interoperability;

migration costs.

9. Tying and Bundling

An industrial platform may sell:

PLC hardware;

engineering software;

cloud analytics;

cybersecurity;

maintenance.

It may require customers purchasing one product to purchase another.

For example:

PLC hardware → mandatory proprietary analytics software.

Or:

Industrial cloud → mandatory proprietary cybersecurity solution.

Bundling can generate efficiencies.

However, if a dominant undertaking uses a strong product to foreclose competitors in an adjacent market, competition-law concerns can arise.

10. Exclusive Dealing

Industrial automation suppliers may enter long-term agreements with manufacturers.

Examples include:

exclusive automation contracts;

preferred-integrator arrangements;

exclusive software licensing;

equipment compatibility restrictions.

Long-term contracts can provide legitimate investment incentives.

But extensive exclusivity by a dominant platform may potentially prevent competing technologies from obtaining the scale needed to enter.

11. Self-Preferencing

Suppose an industrial platform operates an application marketplace.

Independent companies develop:

predictive-maintenance applications;

optimisation software;

cybersecurity tools.

The platform also offers its own competing applications.

Potential concern:

Does the platform give its own applications preferential access to customers, data or ranking?

This resembles self-preferencing issues arising in digital-platform competition.

12. Industrial App Stores

Modern industrial platforms increasingly resemble app ecosystems.

Developers may create applications for:

factory optimisation;

machine monitoring;

predictive maintenance;

energy management;

quality control.

If the platform controls distribution, it can potentially control:

developer admission;

commissions;

rankings;

access to APIs;

customer data.

Thus, competition issues familiar from consumer app stores can appear in industrial settings.

13. Algorithmic Competition

Industrial automation increasingly uses AI.

Algorithms may determine:

machine scheduling;

production allocation;

inventory;

maintenance;

energy consumption;

pricing;

procurement.

Potential competition risks include:

Algorithmic coordination

Competing suppliers use systems that facilitate coordinated conduct.

Algorithmic exclusion

The platform disadvantages rival equipment.

Algorithmic self-preferencing

The platform's software recommends its own products.

Algorithmic discrimination

Independent suppliers receive systematically inferior treatment.

14. Six Important Case Laws

1. United States v. Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001)

Microsoft's operating-system dominance provides one of the most important precedents for platform-based competition.

The court considered Microsoft's conduct involving:

operating systems;

web browsers;

software distribution;

application developers.

Industrial-automation relevance

An industrial automation platform can similarly occupy a foundational layer:

Automation operating environment → applications → industrial services.

If the platform uses its control over the underlying system to exclude competing software, the reasoning of Microsoft becomes relevant.

The case demonstrates the importance of distinguishing legitimate product integration from conduct designed to protect monopoly power by excluding rivals.

15. United States v. AT&T Inc., 916 F.3d 1029 (D.C. Cir. 2019)

The AT&T/Time Warner litigation involved vertical integration between content and distribution.

Although it concerned media, the case is relevant to industrial automation because it demonstrates the importance of vertical integration.

An automation company might simultaneously control:

hardware;

software;

cloud services;

data;

industrial applications.

Competition authorities may therefore examine whether vertical integration gives the company an incentive and ability to disadvantage downstream or upstream competitors.

16. Microsoft Corp. v. Commission, Case T-201/04

The European Commission found that Microsoft abused its dominant position through, among other things, its refusal to provide interoperability information and its tying of products.

The General Court largely upheld the Commission's decision.

Industrial automation relevance

Interoperability is fundamental in industrial systems.

A dominant automation supplier could potentially restrict rivals by preventing them from obtaining information necessary to make their equipment or software interoperable.

The case therefore provides a useful framework for analysing:

technical interoperability;

refusal to provide interfaces;

tying;

ecosystem control.

17. Bronner v Mediaprint, Case C-7/97

The CJEU examined whether a dominant newspaper company could be required to provide access to its newspaper-delivery system.

The Court established strict criteria for compulsory access.

Industrial automation relevance

Industrial automation platforms sometimes provide infrastructure that rivals may claim is indispensable.

For example:

Dominant automation platform → essential interface → competing software.

Bronner cautions against treating every valuable infrastructure system as an essential facility.

A claimant would need to establish the stringent requirements concerning indispensability and elimination of effective competition.

18. Slovak Telekom v Commission, Joined Cases C-165/19 P

This case concerned access to telecommunications infrastructure and exclusionary conduct.

Relevance to industrial automation

The analogy is particularly useful where a dominant automation provider controls a network or interface that competing providers need.

Competition analysis may ask:

Is access indispensable?

Is there a viable alternative?

Is access technically feasible?

Are competitors being foreclosed?

Is there objective justification?

This framework can inform analysis of industrial APIs and proprietary interfaces.

19. Google Android, Commission Decision AT.40099

Google's Android decision concerned contractual restrictions relating to:

mobile operating systems;

app distribution;

search;

browser distribution.

Industrial automation relevance

The structural similarity is significant.

A modern industrial automation platform may involve:

industrial OS → application marketplace → analytics → cloud → industrial services.

If the platform imposes contractual restrictions that make competing applications or services less viable, the Android case provides a useful comparative framework.

20. Google Shopping, Commission Decision AT.39740

The European Commission found Google had abused its dominant position by favouring its own comparison-shopping service in search results.

Industrial automation relevance

Consider an industrial application marketplace where the platform owns its own predictive-maintenance application.

If the platform:

controls the application store;

ranks applications;

sells its own competing application;

then preferential ranking could potentially raise analogous self-preferencing concerns.

The precise legal analysis would depend on the relevant market and effects.

21. Industrial Automation and Vertical Foreclosure

Vertical foreclosure can occur when a company operating at one level prevents competitors at another level from obtaining sufficient access.

For example:

Automation platform

↓

Control software

↓

Industrial applications

↓

Factory operations

If the platform restricts rival application developers, it may potentially foreclose competition downstream.

Conversely, if the platform controls critical applications and uses them to disadvantage competing hardware, upstream foreclosure may arise.

22. Horizontal Competition

Automation companies can also compete directly.

Examples include suppliers of:

PLCs;

robots;

SCADA;

industrial software.

Potential horizontal concerns include:

price fixing;

market allocation;

bid rigging;

customer allocation;

exchange of sensitive information.

Industrial projects often involve large tenders, making procurement competition particularly important.

23. Industrial Procurement and Bid Rigging

Large factories and infrastructure projects may procure:

control systems;

robotics;

automation software;

electrical equipment.

Competitors may participate in the same tender.

Potential cartel behaviour includes:

agreeing who will win;

allocating customers;

rotating bids;

exchanging bid information;

agreeing minimum prices.

Technology does not change the fundamental competition-law prohibition.

Indeed, digital bidding systems can create new forms of evidence and coordination.

24. Robotics and Automation

Industrial robotics creates an additional competition dimension.

A dominant robotic platform may control:

robot hardware;

control software;

programming tools;

spare parts;

maintenance;

application programming interfaces.

If customers cannot use independent software or service providers, the platform may increase switching costs.

This raises possible concerns about:

tying;

aftermarket power;

refusal to supply;

interoperability;

repair restrictions.

25. Aftermarket Competition

Industrial equipment often has a long lifespan.

Once a factory purchases an automation system, it may subsequently require:

spare parts;

software updates;

maintenance;

cybersecurity;

technical support.

This creates a potential aftermarket.

A company that faces substantial competition when selling the original machine could potentially acquire significant power over aftermarket services because customers become locked into the installed system.

Competition law may therefore need to examine both:

the primary equipment market; and

the aftermarket.

26. Digital Twins

Industrial platforms increasingly create digital twins of factories.

A digital twin may contain:

equipment models;

production data;

machine performance;

process information.

If the platform controls the digital twin, it may become difficult for a customer to move to a rival analytics provider.

Potential concerns include:

data portability;

interoperability;

API access;

switching costs;

ecosystem lock-in.

27. Cloud Industrial Platforms

Industrial cloud services can create another layer of dependence.

A manufacturer may use one provider for:

Machine data + analytics + AI + cloud storage + digital twins.

If the provider makes it difficult to migrate data or applications, switching costs can increase.

Potential competition concerns include:

technical lock-in;

contractual lock-in;

data portability restrictions;

interoperability restrictions;

bundling.

28. Industrial Cybersecurity

Cybersecurity is often integrated into automation platforms.

This creates legitimate reasons for standardisation and integration.

However, security arguments should not automatically be used to justify every exclusionary restriction.

Competition authorities may ask:

Is the restriction genuinely necessary for cybersecurity, or does it unnecessarily exclude competing providers?

This is a particularly difficult balance because industrial systems can involve critical infrastructure and safety risks.

29. Standard-Setting

Industrial automation depends heavily on technical standards.

Examples include standards governing:

communications;

industrial protocols;

machine interoperability;

safety;

cybersecurity.

Standard-setting can promote competition by ensuring interoperability.

But standard-setting can also create competition risks if competitors use the process to:

exclude technologies;

manipulate standards;

conceal restrictive licensing;

disadvantage particular suppliers.

Therefore, industrial standard-setting organisations can become relevant to competition-law analysis.

30. Intellectual Property and Industrial Platforms

Automation platforms frequently involve patents, software copyrights and proprietary protocols.

IP rights can encourage innovation.

But competition concerns may arise where a dominant undertaking uses IP rights strategically to prevent interoperability.

Examples could include:

refusal to license essential technology;

discriminatory licensing;

patent strategies designed to block competing platforms;

restrictive licensing terms.

Again, ownership of intellectual property does not itself establish an antitrust violation.

31. Industrial Data and Competition

Industrial data creates a potential competitive feedback loop:

More customers

↓

More machine data

↓

Better AI

↓

Better predictive maintenance

↓

More customers

This creates an important data-network effect.

A new competitor may possess excellent algorithms but lack enough industrial data to match the incumbent's performance.

Competition authorities may therefore need to consider whether the data advantage is:

replicable;

proprietary;

exclusive;

essential;

generated through legitimate competition.

32. Self-Preferencing Through Predictive Maintenance

Consider a dominant platform offering:

industrial equipment;

predictive-maintenance software.

Its AI predicts that a machine needs replacement.

If the algorithm systematically recommends the platform's own replacement equipment rather than independent suppliers, competition concerns could arise.

The platform's informational advantage could therefore become a mechanism for downstream foreclosure.

The key question would be whether the recommendation system is independently justified or is being used to favour affiliated products.

33. Industrial Automation and AI

AI may make industrial platforms even more powerful.

An integrated system may eventually control:

production;

purchasing;

inventory;

logistics;

maintenance;

energy;

pricing.

The platform could therefore become a decision infrastructure rather than simply software.

This creates future competition questions involving:

AI interoperability;

data access;

algorithmic neutrality;

autonomous procurement;

machine-to-machine transactions.

34. Indian Competition-Law Framework

The Competition Act, 2002 provides the principal framework.

Section 3 — Anti-competitive agreements

Potential issues include:

price fixing;

bid rigging;

market allocation;

restrictive distribution agreements;

exclusive arrangements.

Section 4 — Abuse of dominant position

Potential conduct includes:

unfair conditions;

discriminatory treatment;

refusal to deal;

tying;

leveraging;

exclusionary conduct.

Sections 5 and 6 — Combinations

Potentially relevant to acquisitions involving:

industrial automation companies;

robotics firms;

industrial software;

cloud platforms;

industrial-data companies.

35. Competition Concerns for the CCI

An Indian competition investigation into an industrial automation platform could examine:

Market definition

Whether the relevant market concerns:

automation hardware;

PLCs;

robotics;

industrial software;

industrial cloud services;

specific automation applications.

Market power

Factors could include:

installed base;

market share;

switching costs;

interoperability;

technological leadership;

data advantages.

Conduct

Whether the platform:

ties products;

imposes exclusivity;

restricts APIs;

discriminates against rivals;

self-preferences;

restricts data portability.

Effects

Whether the conduct:

forecloses competitors;

raises costs;

reduces innovation;

restricts customer choice.

36. Possible Efficiencies

Industrial automation requires considerable integration.

A company may legitimately argue that integration:

improves safety;

reduces downtime;

improves cybersecurity;

guarantees compatibility;

lowers costs;

improves reliability.

These considerations are important.

Competition law should therefore distinguish between:

genuine technical integration

and

artificial exclusion of competing products.

37. Competition Remedies

Potential remedies could include:

Interoperability

Require reasonable technical compatibility.

API access

Allow independent developers to connect to the platform.

Data portability

Allow customers to export industrial data.

Non-discrimination

Prevent discriminatory treatment of competing suppliers.

Unbundling

Separate certain products where appropriate.

Licensing

Provide access to necessary interfaces on reasonable terms.

Merger remedies

Require divestitures or behavioural commitments where necessary.

38. Key Case-Law Principles

39. Major Future Competition Issues

Industrial automation is moving toward highly integrated industrial ecosystems.

Future competition questions may include:

1. AI industrial agents

Will autonomous systems purchase equipment and services?

2. Machine-to-machine commerce

Will machines independently select suppliers?

3. Industrial data exchanges

Will platforms control access to machine-generated data?

4. Digital twins

Will customers be locked into proprietary digital-twin systems?

5. Robotics ecosystems

Will robot hardware become tied to proprietary software?

6. Autonomous procurement

Could a dominant platform's algorithm systematically favour affiliated suppliers?

7. Industrial identity

Could one platform control authentication for machines and factories?

40. Conclusion

Industrial automation platforms are evolving from individual machines and software products into integrated digital ecosystems. Their competitive significance therefore extends beyond conventional equipment markets.

The principal competition-law concerns include:

platform dominance;

installed-base advantages;

high switching costs;

interoperability restrictions;

data lock-in;

tying and bundling;

exclusive dealing;

self-preferencing;

industrial app-store control;

aftermarket power;

industrial-data concentration;

AI-enabled exclusion;

standard-setting concerns; and

vertical leveraging.

The cases of United States v. Microsoft, Microsoft v. Commission, Bronner, Slovak Telekom, Google Android, Google Shopping and Epic Games v Apple provide useful legal principles for analysing these issues.

The central competition-law challenge can be expressed simply:

When an industrial automation company controls the hardware, operating environment, APIs, industrial data, cloud infrastructure and application ecosystem, competition law must determine whether that integration produces legitimate technological efficiencies or enables the platform to exclude competing technologies and lock industrial customers into its ecosystem.