Apps in selected categories collecting data types from global iOS users 2023

Number of leading mobile iOS apps within selected categories collecting data points worldwide as of May 2023, by type

CharacteristicAI toolsEntertainment (music, books, podcasts)FinanceGamesHealth & fitnessShopping & food deliverySocial media & messagingTravel & mobilityWork & educationOther
Product Interaction 7 10 10 10 10 10 8 10 10 9
User ID 8 9 9 10 9 10 9 10 10 9
Crash Data 9 9 10 9 8 10 8 10 10 9
Device ID 7 9 10 10 8 10 8 9 8 8
Performance Data 6 10 9 7 6 9 8 10 10 10
Email Address 3 8 9 8 10 10 8 10 10 7
Purchase History 5 8 8 8 6 9 9 7 5 5
Name 2 5 8 2 9 10 6 8 10 7
Coarse Location 3 7 5 6 5 7 7 10 6 9
Customer Support 5 5 6 8 6 9 7 7 7 4
Other Diagnostic Data 2 7 7 7 4 9 7 8 7 5
Advertising Data 3 6 6 7 6 7 7 9 3 8
Photos or Videos 4 6 2 3 5 9 8 6 8 6
Created with Highcharts 7.2.2Number of data points949493939292878785858383707067676565646463636262575755555050484846464040383837373535353525252020191916161515151514141313121288AI toolsEntertainment (music, books, podcasts)FinanceGamesHealth & fitnessShopping & food deliverySocial media & messagingTravel & mobilityWork & educationOtherProduct InteractionUser IDCrash DataDevice IDPerformance DataEmail AddressPurchase HistoryNameCoarse LocationCustomer SupportOther Diagnostic DataAdvertising DataPhotos or VideosPhone NumberSearch HistoryOther User ContentPrecise LocationPhysical AddressOther Data TypesContactsPayment InfoOther Usage DataAudio DataEmails or Text MessagesBrowsing HistorySensitive InfoOther User Contact InfoHealthGameplay ContentOther Financial InfoFitnessCredit Info
0255075100125
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Source

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Release date

December 2023

Region

Worldwide

Survey time period

May 17, 2023

Special properties

iOS apps only, analysis of 100 apps across 10 app categories

Supplementary notes

According to the source: "The App Store lists 32 unique data points that can be collected across 12 unique data point categories."

The source defines "data-hungry" apps:"if they collect more than the avg. data points and use the majority (>90%) of data to track the user, or the majority of collected data points are linked to user identity."

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