Google's plan to limit data tracking on its Chrome browser has been extended to cover apps on its Android-based smartphones.
Its so-called Privacy Sandbox project aims to curb the amount of user data that advertisers can gather.
Rival Apple now forces app developers to ask permission from users before tracking them.
The news will be a blow to firms like Meta, which rely on putting their code on apps to track consumer behaviour.
Meta said this month that Apple's changes would cost it $10bn (£7.3bn) this year. Google's Android operating system is used by about 85% of smartphone owners worldwide.
These identifiers are tied to smartphones and are used by apps to collect information. Google said that it will keep them in place for at least two years, while it works "with the industry" on a new system.
"We're also exploring technologies that reduce the potential for covert data collection, including safer ways for apps to integrate with advertising SDK (software developer kits)," it added.
The tech giant did not detail how it plans to do this.
Apple decided in April last year that app developers had to explicitly ask for permission from users to use IDFA (Identifier for Advertisers). Data from advertising company Flurry Analytics, and published by Apple, suggests that US users are choosing to opt out of tracking 96% of the time.
Google's blog did not name Apple, but referred instead to "other platforms" which it said "have taken a different approach to ads privacy, bluntly restricting existing technologies used by developers and advertisers".
"We believe that - without first providing a privacy-preserving alternative path - such approaches can be ineffective," it added.
Google, unlike Apple, relies on advertising revenue.
Google's attempts to create alternatives to third party cookies on its Chrome browser have not gone entirely smoothly.
Its first proposal -a system called Federated Learning of Cohorts (Floc) - was disliked by privacy campaigners and advertisers alike.
Floc aimed to disguise users' individual identities by assigning them to a group with similar browsing histories.
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