US Edition
Epic Games wins partial victory in Australian court against Google and Apple
AUSTRALIA, AUG 12 – The court ruled Apple and Google misused market power in app stores, leading to reduced competition and inflated developer commissions, with potential payouts reaching hundreds of millions of dollars.
- On Tuesday, Justice Jonathan Beach ruled at the Federal Court of Australia that Apple and Google engaged in anti-competitive conduct, upholding key elements of Epic's case.
- Epic Games launched its challenge after Fortnite was removed in August 2020, alleging Apple and Google engaged in anti-competitive conduct against developers.
- Findings show Apple held a `substantial degree of market power` through in-app restrictions and breached Section 46 of Australia’s Competition Act, Justice Beach concluded.
- The court decision clears the way for two class actions covering millions of Australian consumers and developers to seek compensation, legal representatives for the class actions said.
- Advocates believe the judgment could reshape digital platform operations in Australia, with lawyers said the decision could lead to one of the largest class action payouts in Australian history with several hundreds of millions of dollars in compensation.
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53 Articles
53 Articles
Australian court rules against Google, Apple for engaging in anti-competitive conduct
Federal Court upholds key parts of Epic Games' claim that tech giants violated Australian competition laws by misusing their market power against app developers and engaging in restrictive trade practices - Anadolu Ajansı
·Ankara, Türkiye
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Australian court finds Apple, Google abused app store market power
Epic Games has just secured a win in its crusade against Apple and Google's app store policies: The Federal Court of Australia on Tuesday ruled that Apple and Google's engaged in anti-competitive conduct when it came to their respective app stores, ABC News reported.
·United States
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Coverage Details
Total News Sources53
Leaning Left15Leaning Right5Center9Last UpdatedBias Distribution52% Left
Bias Distribution
- 52% of the sources lean Left
52% Left
L 52%
C 31%
R 17%
Factuality
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