According to Pixalate’s research, MGID (46%) ranks No. 1 for web SSP market share in India, while InMobi leads in Singapore (41%) on the Google Play Store; Applovin is No. 1 in Japan on the Apple App Store (31%)
LONDON, March 17, 2026 -- Pixalate, the leading global platform for ad fraud protection, privacy, and compliance analytics, today released the Q4 2025 Asia-Pacific (APAC)) Supply-Side Platform (SSP) Market Share Report for Australia. The reports reveal SSP market share across mobile apps on the Apple App Store and Google Play Store.
The report rankings incorporate sellers within the SupplyChain Object (SCO), meaning all sellers involved in the sale of an impression receive market share credit (i.e., in the case of reselling).
In addition to the Australia report, Pixalate also released SSP market share rankings for the U.S., Canada, United Kingdom, France, Ukraine, Netherlands, Germany, and Mexico.
| Rank | Australia |
| 1 | Verve (34%) |
| 2 | Algorix (15%) |
| 3 | BidMachine (10%) |
| Rank | Australia |
| 1 | Verve (81%) |
| 2 | BidMachine (4%) |
| 3 | Google Ad Exchange (3%) |
To compile the research in this series, Pixalate's data science team analyzed 7 billion mobile impressions across the Apple App Store and Google Play Store (including apps deemed delisted by Pixalate), in December 2025 to reveal the regional ranking of SSPs for open programmatic ads sold.
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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 Supply-Side Platform (SSP) Market Share Reports, reflects Pixalate’s opinions with respect to the factors that Pixalate believes can 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 the time period studied.
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Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary 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 - opinion, not facts or guarantees.
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. Also per the 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.”
