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Tacit collusion meaning

What does Tacit collusion mean?
Tacit collusion describes situations in competition law where rival undertakings in an oligopolistic market align prices, output or strategy without any explicit agreement or direct information exchange, sustaining parallel conduct through market transparency and repeated interaction. In UK and Irish practice the term is descriptive rather than statutory. Case law draws the line between lawful interdependence and unlawful coordination: parallel behaviour alone does not breach the Chapter I prohibition or Article 101 TFEU without evidence of contact or a concerted practice (for example, Wood Pulp; Suiker Unie). Consequently, purely tacit collusion is typically addressed via ex ante tools—merger control (coordinated effects/collective dominance, applying Airtours criteria) and, in the UK, market studies and market investigations—rather than cartel enforcement. Key indicators include transparent prices, symmetry among firms, stable demand, credible retaliation mechanisms and focal points that facilitate alignment. Usage and analysis are broadly consistent across England & Wales, Scotland, Northern Ireland and Ireland. The Competition and Markets Authority (CMA) and the Competition and Consumer Protection Commission (CCPC) assess such risks under the Competition Act 1998/Enterprise Act 2002 (UK) and the Competition Act 2002 (Ireland), alongside EU law in Ireland. Tacit collusion is distinct from “hub-and-spoke” or information‑exchange cases, which involve communications and can infringe.
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View the related Practice Notes about Tacit collusion

PRACTICE NOTES
EU competition law on big data and algorithms: Article 101/102 issues, collusion risks, dominance abuses and merger control (Archived 11 November 2017)

ARCHIVED – This archived practice note sets out information on EU competition law as it relates to big data and algorithms, reflecting the state of play at publication on 11 November 2017 and the position applicable. It is not maintained. As ‘big data’ becomes increasingly pivotal for uses across sectors, authorities, academics and practitioners have, in recent years, intensified their scrutiny of the antitrust consequences for policy and enforcement arising from big data and the algorithms used to analyse it. In September 2016, EU Competition Commissioner Margrethe Vestager pledged to ‘keep a close eye on how companies use data’, and several European competition authorities have undertaken, or in some instances continue to undertake, inquiries and studies on big data matters within jurisdictions. Two principal categories of concern have been highlighted by authorities and commentators: the deployment of algorithms processing big data may contribute to restrictive agreements, decisions or concerted practices, or otherwise enable collusion; the accumulation of large datasets that are valuable, unique and not...

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