According to Pixalate’s SDK market share research, Meta Audience Network, AppLovin, and Vungle (Liftoff) are the leading mobile app ad SDKs for Google Play Store apps; AppLovin, Amazon Ads, and Meta Audience Network are at the top on the Apple App Store apps, based on an analysis of 1000 mobile apps and 22 billion programmatic advertising transactions
LONDON, Nov. 06, 2025 (GLOBE NEWSWIRE) — Pixalate, the leading global platform for ad fraud protection, privacy, and compliance analytics, today released the Q3 2025 Global Mobile App Ad SDK Market Share Rankings Reports for the Google Play Store and Apple App Store. The Q3 2025 reports analyze the estimated market share of third-party ad software development kits (SDKs) used across apps available on the Google Play Store and Apple App Store.
Third-party SDKs are created by companies separate from the app developer. App developers utilize third-party advertising SDKs to perform various advertising-related functions, including mediation, measurement, attribution, and more.
Market share estimates are based on the presence of SDK in an app. Pixalate identifies ad impressions on an app and attributes them to every SDK integrated into that app. Because many apps utilize multiple SDKs, this metric reflects an SDK’s footprint and potential access to impressions, not a direct confirmation of its participation in each ad sale.
Top Android Ad SDKs on Apps in the Google Play Store (Q3 2025)
Global
North America
EMEA
APAC
LATAM
Global; ‘Video Gaming’ App Category
Download the full Android Ad SDK Market Share Rankings for the Google Play Store here.
Top iOS Ad SDKs on Apps in the Apple App Store (Q3 2025)
Global
AppLovin (85% estimated ad market share)
Amazon Ads (74%)
Meta Audience Network (73%)
Vungle (Liftoff) (72%)
TikTok for Business (ByteDance) (69%)
North America
EMEA
APAC
LATAM
Global; ‘Video Gaming’ App Category
Download the complete iOS Ad SDK Market Share Rankings for the Apple App Store here.
For these reports, Pixalate’s data science team analyzed approximately 1,000 mobile apps available on the Apple App Store and approximately 22 billion open programmatic advertising transactions in September 2025 (Q3 2025).
Download the reports for a complete analysis and review of SDKs:
About Pixalate
Pixalate is a global platform specializing in privacy compliance, ad fraud prevention, and digital ad supply chain data intelligence. Founded in 2012, Pixalate is trusted by regulators, data researchers, advertisers, publishers, ad tech platforms, and financial analysts across the Connected TV (CTV), mobile app, and website ecosystems. Pixalate is accredited by the MRC for the detection and filtration of Sophisticated Invalid Traffic (SIVT). pixalate.com
Disclaimer
The content of this press release, and the Global Mobile App SDKs Market ShareRanking Reports (the ‘Reports’), reflect Pixalate’s opinions with respect to factors that Pixalate believes may be useful to the digital media industry. Any data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate is sharing this data not to impugn the standing or reputation of any entity, person or app, but, instead, to report findings and trends pertaining to programmatic advertising activity across in the time period studied. Per the Media Rating Council (MRC), “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.” Where the traffic characteristics are suggestive of deliberate intent to mislead, such IVT is often referred to as “ad fraud.” Also per the MRC, “’Fraud’ is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes.”
