As of January 2025, around 89 percent of the data linked to users collected by iOS apps was used by app publishers to integrate their product's functionalities. In comparison, 72 percent of app data not directly linked to users had the same function. Collecting analytics data was the second most common reason for apps to collect iOS users' data, while only 17 percent of identifiable user data and 10 percent of non-identifiable users' data went to improve or integrate third-party advertising services.

As of May 2023, Facebook collected the larger number of total unique data points from global iOS users, around 32 data points. Popular digital payment app PayPal and Airbnb collected 26 data points each, while AI tool photo and image editing apps Photoleap collected around 14 unique data points.

Market Analysis: Mobile Application Stores The global mobile application store market reached a value of XX million in 2025 and is projected to grow at a CAGR of XX% during the forecast period (2025-2033). The surge in mobile device penetration, coupled with the increasing demand for mobile apps, is driving market growth. The proliferation of paid apps and in-app purchases is further fuelling revenue generation for app stores. Key trends include the rise of alternative app stores, the growing popularity of subscription-based models, and the integration of artificial intelligence (AI) and augmented reality (AR) technologies. The market is dominated by Apple iTunes and Google Play, which account for a significant share of downloads and revenue. However, the emergence of Amazon Appstore, Windows Store, and other regional players is posing challenges to their dominance. Key drivers include the increasing adoption of m-commerce, the growth of the gaming industry, and the rising demand for personalized app experiences. Restraints to market growth include security concerns, storage limitations, and data privacy issues. The market is segmented based on type (iOS System, Android System, Others), application (Paid Apps, Free Apps), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific).

We surveyed 10,208 people from more than 15 countries on their mobile app usage behavior. The countries include USA, China, Japan, Germany, France, Brazil, UK, Italy, Russia, India, Canada, Spain, Australia, Mexico, and South Korea. We asked respondents about: (1) their mobile app user behavior in terms of mobile app usage, including the app stores they use, what triggers them to look for apps, why they download apps, why they abandon apps, and the types of apps they download. (2) their demographics including gender, age, marital status, nationality, country of residence, first language, ethnicity, education level, occupation, and household income (3) their personality using the Big-Five personality traits This dataset contains the results of the survey.

The Mobile Apps and Web Analytics Market size was valued at USD 9.1 Billion in the year 2024 and it is expected to reach USD 38.35 Billion in 2031, growing at a CAGR of 16.3% over the forecast period of 2024 to 2031.

Global Mobile Apps And Web Analytics Market Drivers

Increasing Adoption of Mobile Devices and Apps: The surge in smartphone use boosts the mobile apps and web analytics market, as businesses analyze mobile app performance to enhance user satisfaction and maintain competitiveness.

Growing Importance of Data-Driven Decision Making: Companies across sectors are embracing data-driven strategies to stay ahead, using mobile apps and web analytics for insights on user behavior and preferences, influencing product and marketing decisions.

Need for Enhanced User Experience and Engagement: Mobile apps and web analytics are critical for improving user experiences by identifying issues and optimizing interactions, leading to increasing user satisfaction and loyalty.

Shift towards Digital Transformation and Omnichannel Strategies: The move towards digital transformation and omnichannel approaches fuels the demand for mobile apps and web analytics, helping businesses measure effectiveness and optimize customer engagement across multiple channels.

The increasing use of mobile analytics market, the development of mobile apps, and real-time data are significant industry drivers that are boosting growth. Mobile analytics gives businesses significant insights into how their customers engage with their mobile properties, allowing them to analyze user behavior, detect patterns, and assess the performance of their mobile marketing. The market size surpass USD 4.19 Billion valued in 2023 to reach a valuation of around USD 21.16 Billion by 2031.
Mobile analytics also gives information on how users engage with apps on various devices and platforms, helping businesses to tailor their apps for multiple devices and operating systems. This helps to ensure that the software runs smoothly across all devices, resulting in a consistent and dependable user experience. The rising demand for mobile analytics is enabling the market grow at a CAGR of 24.75% from 2024 to 2031.

Mobile Analytics Market: Definition/ Overview
Mobile Analytics collects and analyzes data from mobile platforms and properties, such as mobile sites and mobile applications. The Mobile Analytics solution offers the consumer several benefits, including crash observance, back-end performance analysis, app version adoption trends, troubleshooting, mobile platform usage information, custom events and alerts, data and system integration, company information governance, digital measurement strategy, and operational processes, reportage automation, and real-time analysis and insights.
The market is expected to be driven by an increase in disposable income and lifestyle changes, a growth in smartphone and internet usage, and the need to understand customer behavior. The e-commerce industry has grown significantly as disposable money has increased and people’s lifestyles have changed. Furthermore, most users prefer to access these apps via their mobile phones. The number of mobile applications and websites has increased significantly. As disposable income has increased, so has smartphone penetration. A large percentage of the population has access to smartphones and the internet.

Our App Install Data signals are sourced from our SDK and direct publisher integrations. We apply machine learning techniques to model user graphs.

App Install Data gives you the most in-depth understanding of users' interests, intent, and behavior. Start.io is able to deliver one of the world's most comprehensive databases of App Install Data, via a daily/weekly/monthly feed.

As of February 2025, video apps accounted for around 76 percent of global mobile data usage every month. Second-ranked social networking accounted for eight percent of global mobile data volume. The two categories, though, can easily overlap, as users can watch videos via video applications, as well as on social networking applications. Most popular social media platforms with video content Facebook, YouTube, and Instagram were among the most popular social networks in the world, as of October 2021. Each of these platforms allow to post, share, and watch video content on a mobile device. One of the fastest growing global brands, Tiktok, is also a social media platform where users can share video content. In September 2021, the platform reached 1 billion monthly active users. Leading types of mobile video content in the U.S. The United States was the third country in the world based on the number of smartphone users as of May 2021, with around 270 million users. Therefore, mobile content usage in the country was one of the highest in the world, and a big part of it was video content. As of the third quarter of 2021, more than 80 percent of survey respondents in the United States reported watching YouTube on their mobile devices. Social media videos were the second most popular type of content for mobile audiences, with almost six in 10 respondents watching videos on social media platforms like TikTok and Twitter.

Data (normalized) on number of daily users, conversion rate (nr of purchases/nr of users) and videos (nr of rewarded videos/nr of users) for five games on six European markets surrounding Apple adjustment of pricing tiers in August 2021. Replication file for some of the key results in Enache, Friberg, Wiklander, 2023, "Demand for in-app purchases in mobile apps - A difference-in-difference approach" in International Journal of Industrial Organization.

As of January 2025, StartApp dominated among Android apps that used mobile data intelligence software development kit (SDK) with nearly 51 percent integration reach. Second-ranked Comscore Analytics was integrated with over 12 percent of apps that used data intelligence SDKs.

Key Apple App Store StatisticsApple App Store App and Game RevenueApple App Store Gaming App RevenueApple App Store App RevenueApple App Store App and Game DownloadsApple App Store Game...

Mobile Apps and Web Analytics Market was valued at $10.95 Billion in 2023, and is projected to reach $USD 43.18 Billion by 2032, at a CAGR of 16.47% from 2023 to 2032.

The global market for App Data Statistics Tools is experiencing robust growth, driven by the increasing adoption of mobile applications across various sectors and the rising need for data-driven decision-making. This market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors, including the escalating demand for precise user behavior analysis, the necessity for enhanced app performance optimization, and the growing importance of personalized user experiences. The market is segmented by tool type (customized vs. universal) and application (social, information, gaming, e-commerce, tools, and others). The rise of sophisticated analytics platforms offering comprehensive data visualization and insightful reporting contributes significantly to the market's growth. Furthermore, the increasing adoption of cloud-based solutions simplifies data storage and analysis, enabling businesses of all sizes to leverage app data effectively. Competitive forces are shaping the landscape, with established players and emerging startups continuously innovating to offer advanced features and cater to the diverse needs of developers and businesses. The North American market currently holds a significant share, largely due to the concentration of technology companies and early adoption of advanced analytics tools. However, Asia-Pacific is expected to exhibit the fastest growth during the forecast period, driven by the burgeoning mobile app market in countries like India and China. The market faces certain restraints, such as data privacy concerns and the complexity of integrating different analytics tools. Nevertheless, the continued evolution of mobile app technology, alongside the development of more user-friendly and cost-effective analytics platforms, will continue to propel market expansion over the next decade. This growth underscores the strategic value of app data analytics in understanding user behavior, improving app functionality, and ultimately maximizing business success in the competitive mobile landscape.

As of August 2022, language learning app HelloTalk and Google's meeting point for schools Google Classroom were the educational app collecting the largest amount of data points. ClassDojo and popular language learning app Duolingo followed, collecting approximately 18 different data points from global Android users.

The results of a Top10VPN.com investigation into the privacy risks associated with 20 of the most popular Android proxy apps. The data table indicates which apps have high-risk permissions, share data with third-parties, share user IP addresses, contain location tracking code and which apps share data with Yandex or Bytedance.

Context

While many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. On digging deeper, I found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. On the other hand, Google Play Store uses sophisticated modern-day techniques (like dynamic page load) using JQuery making scraping more challenging.

Content

Each app (row) has values for catergory, rating, size, and more.

Acknowledgements

This information is scraped from the Google Play Store. This app information would not be available without it.

Inspiration

The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!

This resource contains streams of the US considered in the National Water Model as midpoints to be used in the mobile NWM App viewer for Android and iOS that's currently under development. It provides a shapefile with the streams as midpoints, a csv with the stream ID and their respective latitude and longitude values. It also provides the same information in database formats. One of the database files do not include an ID. Again, this data is for testing purposes. More data will be potentially added in the future.

Mobility/Location data is gathered from location-aware mobile apps using an SDK-based implementation. All users explicitly consent to allow location data sharing using a clear opt-in process for our use cases and are given clear opt-out options. Factori ingests, cleans, validates, and exports all location data signals to ensure only the highest quality of data is made available for analysis.

Record Count:90 Billion+ Capturing Frequency: Once per Event Delivering Frequency: Once per Day Updated: Daily

Mobility Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited interval (daily/weekly/monthly/quarterly).

Business Needs: Consumer Insight: Gain a comprehensive 360-degree perspective of the customer to spot behavioral changes, analyze trends and predict business outcomes. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape. Advertising: Create campaigns and customize your messaging depending on your target audience's online and offline activity. Retail Analytics: Analyze footfall trends in various locations and gain an understanding of customer personas.

As of May 2023, product interaction data were the most commonly collected data points, with 94 over the 100 analyzed apps reporting to collect such data. User ID and crash data were collected by by 93 and 92 apps over 100, respectively. Over the 10 leading shopping apps hosted on the Apple App Store, the totality collected precise location, physical address, and payment info.

Replication package of the paper entitled "Investigating Types and Survivability of Performance Bugs in Mobile Apps" published in The Empirical Software Engineering Journal