Competition Law and Autonomous Industrial Ecosystems and Competition

1. Introduction

An autonomous industrial ecosystem is an interconnected industrial environment in which machines, robots, factories, software, sensors, industrial IoT devices, AI systems, cloud services, maintenance providers, suppliers, distributors and data platforms interact with limited human intervention.

Examples include:

• autonomous manufacturing plants;
• industrial robots and robotic operating systems;
• smart factories;
• autonomous warehouses;
• AI-controlled supply chains;
• industrial IoT ecosystems;
• autonomous mining and energy systems;
• connected machinery and predictive-maintenance platforms;
• digital-twin and industrial-cloud ecosystems.

Competition law becomes relevant because the operator of one technological layer may control a bottleneck that competitors need in order to participate in the wider ecosystem. Modern competition analysis increasingly recognises that competition may occur across interconnected ecosystems rather than only within a single conventional product market.

The principal concerns are ecosystem foreclosure, interoperability restrictions, tying and bundling, data advantages, exclusive contracts, self-preferencing, switching costs, aftermarket control, discriminatory access and acquisitions of emerging competitors.

2. Meaning of an Autonomous Industrial Ecosystem

An autonomous industrial ecosystem can be represented as:

Hardware → Operating/Control Software → Industrial Data → AI/Analytics → Cloud/Platform → Applications → Maintenance/Services

For example, an industrial-robot manufacturer may provide:

1. robotic hardware;
2. robot-control software;
3. proprietary APIs;
4. machine-learning models;
5. cloud monitoring;
6. spare parts;
7. maintenance services; and
8. a marketplace for third-party applications.

If one undertaking controls several of these layers, it can potentially use power in one layer to restrict competition in another.

Example

Suppose Company A controls 80% of an industrial robot operating system.

It requires manufacturers using its robots to:

• purchase its own analytics software;
• use its authorised maintenance network;
• prohibit third-party applications;
• provide all machine data exclusively to A; and
• use A's cloud platform.

The issue is not merely whether A is large. The competition question is whether these restrictions exclude equally or potentially efficient competitors and reduce competitive opportunities in complementary markets.

3. Why Autonomous Ecosystems Create Competition Concerns

A. Ecosystem Market Power

Traditional competition analysis often examines a defined relevant market.

Autonomous ecosystems complicate this approach because several markets may interact:

• robotics;
• industrial software;
• cloud computing;
• AI;
• data services;
• maintenance;
• spare parts;
• industrial applications.

An undertaking may have modest market share in one component but substantial strategic control over the ecosystem because that component functions as a gateway or bottleneck.

4. Interoperability Restrictions

Interoperability is particularly important.

An industrial ecosystem may prevent competing software, robots or sensors from communicating with its proprietary system.

Possible practices include:

• withholding APIs;
• refusing technical documentation;
• restricting protocol access;
• deliberately degrading compatibility;
• imposing certification requirements;
• restricting third-party applications;
• preventing data portability.

The competition concern is stronger where interoperability is technically necessary for competitors to operate.

The EU's contemporary approach illustrates the growing importance of interoperability. Under Article 6(7) of the Digital Markets Act, designated gatekeepers must provide third parties with access to relevant hardware and software features on equivalent terms.

5. Tying and Bundling

An autonomous industrial ecosystem may bundle:

Robot + Operating System + AI + Cloud + Maintenance

A dominant undertaking could make access to the core product conditional upon purchasing its complementary products.

Competition law may examine:

1. whether the products are distinct;
2. whether the undertaking is dominant in the tying market;
3. whether customers are compelled to obtain the tied product;
4. whether the practice forecloses competitors;
5. whether there are legitimate technical or efficiency justifications.

The Google Android jurisprudence is particularly relevant because the EU courts examined an ecosystem involving an operating system, app store, search, browser and contractual restrictions.

6. Data-Based Ecosystem Advantages

Autonomous industrial systems generate enormous quantities of:

• machine-performance data;
• production data;
• predictive-maintenance data;
• customer data;
• sensor data;
• operational data;
• failure data.

The ecosystem operator may therefore obtain a substantial competitive advantage.

Potential concerns arise where the operator:

• refuses competitors access to necessary data;
• uses customer data to compete against customers;
• combines data from separate markets;
• imposes exclusive data-sharing requirements;
• prevents portability;
• uses privileged data to identify and eliminate emerging competitors.

Data does not automatically constitute an essential facility. The legal analysis depends upon the relevant market, necessity, dominance, foreclosure effects and applicable jurisdictional rules.

7. Self-Preferencing

An industrial platform may operate both:

• the ecosystem infrastructure; and
• competing applications or services.

For example, an industrial-cloud provider might rank its own predictive-maintenance application above competing applications.

Similarly, a robotics platform might:

• give its own applications preferential API access;
• give its own maintenance provider priority;
• display its own software first;
• provide competitors with delayed technical information.

Such conduct may become problematic where the platform occupies a bottleneck position and the discrimination has exclusionary effects.

8. Exclusive Dealing and Ecosystem Lock-In

Autonomous industrial systems frequently involve substantial investment.

Once a factory adopts:

• proprietary robots;
• proprietary software;
• proprietary sensors;
• proprietary data formats;
• proprietary cloud infrastructure,

switching to another ecosystem can become expensive.

This creates ecosystem lock-in.

Exclusive contracts may therefore be scrutinised where they prevent customers or suppliers from dealing with competing ecosystems.

The relevant considerations include:

• contract duration;
• percentage of demand covered;
• switching costs;
• availability of alternatives;
• market coverage;
• barriers to entry;
• foreclosure effects.

9. Aftermarket Competition

Autonomous industrial equipment often has a long operating life.

The original manufacturer may therefore control:

• spare parts;
• software updates;
• diagnostics;
• repair tools;
• maintenance data;
• firmware;
• cybersecurity certificates.

This creates potential aftermarket competition issues.

A manufacturer could potentially use control over installed equipment to disadvantage independent repairers or competing service providers.

The legal analysis may involve whether the primary equipment market and aftermarket constitute:

• separate relevant markets; or
• parts of a broader integrated market.

10. Algorithmic Coordination

Autonomous industrial ecosystems can also create algorithmic coordination risks.

Competing systems may use algorithms to:

• set prices;
• allocate production;
• forecast demand;
• coordinate inventory;
• determine transportation;
• optimise capacity.

If competing firms use algorithms that independently produce parallel conduct, that does not automatically establish an unlawful agreement.

The more serious concern arises where competitors:

• intentionally share pricing algorithms;
• agree on common parameters;
• exchange competitively sensitive data;
• use a common intermediary to coordinate conduct;
• deliberately design systems to implement an agreement.

11. Acquisitions and Ecosystem Expansion

Competition authorities may also examine acquisitions by ecosystem operators.

A large industrial platform may acquire:

• an AI start-up;
• robotics software;
• predictive-maintenance technology;
• industrial-cloud technology;
• sensor companies;
• cybersecurity companies.

The concern may arise even where the target has relatively low current revenues if it represents a potentially important future competitor.

The assessment may therefore consider:

• innovation competition;
• nascent competition;
• data assets;
• interoperability;
• ecosystem expansion;
• vertical integration;
• elimination of future competitive constraints.

12. At Least 6 Important Case Laws

1. Microsoft Corp. v. Commission — T-201/04

European Union

This is one of the foundational interoperability cases.

Microsoft was found to have abused its dominant position by refusing interoperability information necessary for competing work-group server operating systems and by tying Windows Media Player to Windows.

Relevance to autonomous industrial ecosystems

The case provides important principles for:

• interoperability;
• refusal to supply information;
• technological bottlenecks;
• leveraging dominance;
• tying;
• exclusionary effects.

An industrial operating system controlling autonomous machinery could raise analogous questions if competitors require access to technical information to interoperate effectively.

2. Google Android — Google LLC and Alphabet Inc. v European Commission, T-604/18

European Union

The General Court examined Google's Android ecosystem involving:

• Android;
• Google Play Store;
• Google Search;
• Chrome;
• device manufacturers;
• mobile network operators.

The case concerned tying, exclusivity payments and anti-fragmentation obligations. The Court expressly addressed the concept of a multi-sided platform and ecosystem.

Relevance

The case is highly useful for autonomous industrial ecosystems because it demonstrates how competition law can analyse restrictions operating across interconnected technological layers.

3. Google Android — C-738/22 P, Google and Alphabet v Commission

Court of Justice of the European Union, 2 July 2026

The Court of Justice considered the appeal concerning:

• tying;
• exclusionary effects;
• exclusive pre-installation payments;
• Android forks;
• smart-mobile operating systems;
• app stores;
• search services. 

Relevance

The case reinforces the importance of analysing whether contractual restrictions prevent alternative ecosystem architectures from developing.

For industrial ecosystems, the analogous issue could involve restrictions preventing customers from adopting alternative control systems, software layers or interoperable technologies.

4. Intel Corp. v European Commission — C-413/14 P

European Union

The Intel litigation concerned conditional rebates and the exclusionary effects of rebates offered by a dominant undertaking.

Relevance

The principles are relevant to autonomous industrial ecosystems where an ecosystem operator offers:

• volume discounts;
• rebates;
• loyalty incentives;
• preferential pricing;

conditional upon customers obtaining a substantial portion of their requirements from the dominant ecosystem.

Such arrangements may reinforce ecosystem lock-in.

5. IMS Health GmbH & Co. OHG v NDC Health GmbH — C-418/01

European Union

The case concerned refusal to license intellectual property involving a pharmaceutical sales-data structure.

The Court addressed the exceptional circumstances under which refusal to license an intellectual-property right may constitute an abuse of dominance.

Relevance

Autonomous industrial systems may depend upon proprietary:

• interfaces;
• technical standards;
• software;
• databases;
• protocols.

IMS Health is therefore relevant to analysing whether refusal to provide access to proprietary technology can become an Article 102 TFEU issue.

6. Bronner v Mediaprint — C-7/97

European Union

The case established important principles concerning refusal to provide access to an alleged essential facility.

The Court imposed demanding conditions before a refusal to supply can constitute abusive conduct.

Relevance

In industrial ecosystems, a dominant undertaking may control:

• a critical network;
• industrial infrastructure;
• an interoperability gateway;
• a technical platform.

Bronner helps prevent competition law from automatically converting every refusal to deal into an antitrust violation.

7. Commercial Solvents v Commission — Joined Cases 6/73 and 7/73

European Union

The case concerned a dominant supplier's conduct toward downstream competitors.

The Court recognised that a dominant undertaking's conduct in a vertically related market could constitute an abuse where it sought to eliminate competition downstream.

Relevance

This is relevant where an autonomous industrial-system manufacturer controls an upstream component and simultaneously competes downstream.

For example:

Industrial robot manufacturer → robot-control software → maintenance → AI analytics

If the manufacturer restricts supply of a critical input to downstream competitors while favouring its own downstream operation, competition concerns may arise.

13. Additional Relevant Case Law

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

The case involved Microsoft's operating-system dominance and conduct affecting competing browsers.

Industrial relevance

It illustrates the importance of:

• platform control;
• technical restrictions;
• exclusionary conduct;
• leveraging;
• innovation foreclosure.

An industrial operating system can similarly become a strategic control point between hardware and applications.

9. United States v. AT&T, 524 F. Supp. 1336 (D.D.C. 1982)

The litigation concerned vertical integration and control over telecommunications infrastructure.

Industrial relevance

It demonstrates the importance of examining whether control over infrastructure can be used to disadvantage firms operating at adjacent levels.

This is analogous to industrial ecosystems where one company controls both infrastructure and downstream services.

10. Eastman Kodak Co. v. Image Technical Services, Inc., 504 U.S. 451 (1992)

The U.S. Supreme Court considered competition issues concerning equipment, spare parts and aftermarket services.

Relevance

Kodak is particularly useful for autonomous industrial ecosystems because industrial machinery often creates:

Primary equipment market + spare parts + maintenance + software + repair services

The case demonstrates why aftermarket power cannot always be dismissed merely because competition existed in the primary equipment market.

14. Competition Issues by Ecosystem Layer

15. Essential Facility Considerations

An industrial ecosystem may involve infrastructure that competitors cannot realistically reproduce.

Examples:

• unique industrial network;
• critical data infrastructure;
• indispensable API;
• exclusive interoperability gateway;
• strategically necessary cloud infrastructure.

However, not every important technology is an essential facility.

A competition authority would generally examine questions such as:

1. Is the facility genuinely indispensable?
2. Is there a realistic alternative?
3. Can competitors reproduce it?
4. Is access technically feasible?
5. Would refusal eliminate effective competition?
6. Is there an objective justification?
7. Would compelled access undermine legitimate innovation incentives?

The stringent approach associated with Bronner and IMS Health remains important.

16. Interoperability as a Competition Remedy

Possible remedies include:

Structural remedies

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

Behavioural remedies

• API access;
• data portability;
• non-discrimination;
• interoperability obligations;
• licensing;
• prohibition of tying;
• access to technical documentation.

Ecosystem-specific remedies

• interoperability testing;
• independent certification;
• neutral application ranking;
• portability of industrial data;
• multi-cloud compatibility;
• open communication protocols.

The EU's DMA framework demonstrates the growing regulatory significance of interoperability. In July 2026, the European Commission adopted binding specification measures requiring Google to provide competitors' AI services effective access to specified Android features.

17. Autonomous Industrial Ecosystems and Chinese Competition Law

In China, the Anti-Monopoly Law (AML) can become relevant to autonomous industrial ecosystems through:

• abuse of dominant market position;
• refusal to deal;
• discriminatory treatment;
• tying;
• exclusive dealing;
• unreasonable trading conditions;
• concentration control;
• vertical agreements;
• digital-platform conduct.

Industrial ecosystems may additionally involve:

• industrial Internet platforms;
• intelligent manufacturing;
• robotics;
• industrial software;
• cloud computing;
• AI;
• EV manufacturing;
• autonomous logistics;
• energy-management systems.

A particularly important issue is whether control over an industrial platform gives an undertaking sufficient market power to impose restrictions on businesses dependent upon that ecosystem.

18. Economic Effects

Competition authorities should distinguish between legitimate ecosystem integration and exclusionary conduct.

Integration may produce legitimate efficiencies such as:

• improved reliability;
• lower transaction costs;
• cybersecurity;
• better machine performance;
• reduced downtime;
• standardisation;
• improved interoperability;
• economies of scale.

Indeed, the EU's Android jurisprudence recognises that tying can sometimes generate efficiencies, including product integration, lower production costs and reduced transaction costs; those potential benefits must therefore be considered rather than treating integration itself as unlawful.

The critical question is whether those efficiencies outweigh or are genuinely connected to the exclusionary effects and whether less restrictive methods are available.

19. Competition-Law Test for Autonomous Industrial Ecosystems

A useful analytical framework is:

Step 1 — Identify the ecosystem

Hardware + software + data + AI + cloud + services.

↓

Step 2 — Define relevant markets

Determine whether separate markets exist for:

• equipment;
• software;
• data;
• cloud;
• maintenance;
• applications.

↓

Step 3 — Identify the bottleneck

Which component controls access to the ecosystem?

↓

Step 4 — Assess market power

Examine:

• market shares;
• entry barriers;
• switching costs;
• network effects;
• data advantages;
• interoperability;
• customer dependency.

↓

Step 5 — Identify conduct

Look for:

• tying;
• bundling;
• exclusive dealing;
• self-preferencing;
• discriminatory access;
• refusal to supply;
• API restrictions;
• data restrictions.

↓

Step 6 — Examine foreclosure

Ask whether rivals are prevented from:

• entering;
• expanding;
• innovating;
• interoperating;
• accessing customers.

↓

Step 7 — Examine efficiencies

Consider:

• security;
• technical integration;
• reliability;
• innovation;
• cost savings.

↓

Step 8 — Consider remedy

Possible remedies include:

• interoperability;
• access;
• data portability;
• non-discrimination;
• licensing;
• behavioural commitments;
• structural separation where necessary.

20. Key Legal Principles

The most important principles emerging from the case law are:

1. Dominance in an ecosystem can have effects beyond one product market.
2. Interoperability can become a central competition issue.
3. Control of a bottleneck can facilitate foreclosure.
4. Tying and bundling can leverage market power into complementary markets.
5. Exclusive contracts may reinforce ecosystem lock-in.
6. Refusal to provide access is not automatically abusive.
7. Essential-facility principles require careful analysis of indispensability and elimination of competition.
8. Proprietary technology and intellectual property receive protection, subject to exceptional competition-law limitations.
9. Data advantages can strengthen ecosystem power but do not automatically establish dominance.
10. Efficiency and security justifications must be considered.
11. Acquisitions may raise concerns where they eliminate potential ecosystem competitors.
12. Interoperability remedies are becoming increasingly important in technology-intensive ecosystems.

Conclusion

Autonomous industrial ecosystems create a new dimension of competition law because market power can arise not simply from ownership of a product, but from control over the technological architecture connecting multiple products and services.

The central competition-law question is therefore whether an undertaking is using control over an industrial bottleneck—such as an operating system, API, data layer, cloud platform, robot-control system or maintenance network—to exclude competing ecosystems or complementary providers.