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The mobile app intelligence industry is robust and growing, driven by the increasing complexity of the app economy. Companies are heavily reliant on data for strategic decision-making, competitive benchmarking, and optimizing user acquisition and monetization. The acquisition of data.ai by Sensor Tower signifies consolidation and a drive towards comprehensive, AI-powered insights for digital businesses.
Total Assets Under Management (AUM)
Mobile App Revenue in United States
~Based on data from Sensor Tower (similar to data.ai), consumer spending in mobile apps globally reached approximately $171 billion in 2023, with the United States being a leading market. For the US specifically, Sensor Tower reported consumer spending in app stores to be around $44 billion in 2023. (Source: Sensor Tower, 2023 Year in Review Report)
(8.5% CAGR)
Mobile app revenue growth is driven by in-app purchases, subscriptions, and advertising. The US market leads in consumer spending. Gaming and entertainment apps contribute significantly to this growth.
171 billion USD
Generative AI can automate the analysis of vast datasets and create natural language summaries or predictive models, significantly accelerating insight generation for app performance and market trends.
PETs like Federated Learning and Differential Privacy enable data analysis and model training without directly exposing sensitive user data, crucial for navigating stricter privacy regulations.
Integrating data from mobile apps with web, IoT, and offline sources provides a holistic view of consumer behavior, enabling more comprehensive and accurate intelligence for businesses.
Apple's ATT framework requires app developers to obtain explicit user consent via a prompt to track their activity across apps and websites owned by other companies.
This policy significantly reduced the availability of Identifier for Advertisers (IDFA) data, impacting the accuracy of user acquisition attribution and targeted advertising for businesses.
Google is developing Privacy Sandbox initiatives for Android to introduce new, more privacy-preserving advertising solutions, moving away from traditional identifiers like Android Advertising ID (AAID).
These initiatives will change how mobile ad targeting and measurement work on Android, requiring app intelligence platforms to adapt their data collection and analysis methods.
The CPRA expands upon the California Consumer Privacy Act (CCPA), granting consumers more rights over their personal data, including the right to correct inaccurate data and limit the use and disclosure of sensitive personal information.
Businesses dealing with US consumer data must ensure robust data handling practices, consent mechanisms, and transparent data processing to comply, affecting data collection and sharing for analytics.
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