Pixalate’s data science team analyzed over 10 million mobile apps (including apps deemed delisted) and nearly 20 billion in-app open programmatic advertising impressions in June 2024 to compile the research in this series; Apple iPhone, Oppo, Xiaomi, Samsung, and Vivo represent top five mobile devices in the APAC region, according to Pixalate’s estimates
LONDON, August 21, 2024 -- Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Q2 2024 Global Mobile Device Market Share Report. In addition to the Global report, Pixalate also released North America, APAC, EMEA, and LATAM versions of the report.
The report provides a market analysis of the top mobile devices based on open programmatic ad traffic across North America, Europe, the Middle East and Africa (EMEA), Latin America (LATAM), and Asia-Pacific (APAC) in June 2024.
Pixalate’s data science team analyzed over 10 million mobile apps (including apps deemed delisted) and over 22 billion in-app open programmatic advertising impressions in June 2024 to compile the research in this series. Market share of voice (SOV) is determined by the percentage of open programmatic ads sold that are associated with specific device types within each region, as measured by Pixalate.
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 Mobile Device 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.”