Apple App Store Key StatisticsApps & Games in the Apple App StoreApps in the Apple App StoreGames in the Apple App StoreMost Popular Apple App Store CategoriesPaid vs Free Apps in Apple App...

As of May 2023, approximately 98 percent of all data collected by travel and mobility iOS apps were linked to the users' identity. However, only 17 percent of the collected data were users to track users of apps in this category. Shopping and food delivery apps used 36.4 percent of the collected data for tracking purposes, while AI tool apps hosted on the Apple App Store used 35.6 percent of the collected data for tracking their users.

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.

As of May 2023, the mobile app version of popular first-person shooter Call of Duty used 10 of the data points they collected to track their iOS users, as well as collecting 17 data points connected to the user's identity. Facebook, which was identified as the most data-hungry app among all the mobile social media, used seven of its 32 collected data points to track users. Dating app Bumble collected 22 data points collected to the users' identity, as well as four data points to track users activity.

Use the OpenWeb Ninja Google Play App Store Data API to access comprehensive data on Google Play Store, including Android Apps / Games, reviews, top charts, search, and more. Our extensive dataset provides over 40 app store data points, enabling you to gain deep insights into the market.

The App Store Data dataset includes all key app details:

App Name, Description, Rating, Photos, Downloads, Version Information, App Size, Permissions, Developer and Contact Information, Consumer Review Data.

Dataset Card for Macappstore Applications Metadata

Mac App Store Applications Metadata sourced by the public API.

Curated by: MacPaw Way Ltd.

Language(s) (NLP): Mostly EN, DE License: MIT

  Dataset Details

This data aims to cover our internal company research needs and start collecting and sharing the macOS app dataset since we have yet to find a suitable existing one. Full application metadata was sourced by the public iTunes search API for the US, Germany, and Ukraine… See the full description on the dataset page: https://huggingface.co/datasets/MacPaw/mac-app-store-apps-metadata.

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

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.

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

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!

googleplaystore.csv

googleplaystore_user_reviews.csv

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As of April 2025, 34 percent of apps on the Apple App Store were updated on a weekly basis. In comparison, 73 percent of mobile apps were updated on a monthly basis. Over 97 percent of mobile apps hosted on the Apple App Store were updated each year.

App Store Optimization Software Market size was valued at USD 0.53 Billion in 2024 and is projected to reach USD 1.99 Billion by 2032, growing at a CAGR of 18.02% from 2026 to 2032.

The App Store Optimization (ASO) Software market is driven by the rapidly growing number of mobile applications and the increasing competition among app developers to enhance their visibility and downloads. As businesses increasingly recognize the importance of mobile apps in their digital strategy, the demand for tools that improve app discoverability, user engagement, and conversion rates intensifies. The rise in mobile app usage, coupled with the necessity for better app ranking on app stores like Google Play and Apple App Store, propels the adoption of ASO software. Additionally, the integration of advanced analytics, keyword optimization, and user behavior insights within ASO tools enhances app performance and ROI, further fueling market growth. The continuous updates and algorithm changes in app stores also necessitate the use of specialized software to stay competitive, driving the market forward.

[ADVISORY] IMPORTANT

Instructions for citation:

If you use this dataset anywhere in your work, kindly cite as the below: L. Gupta, "Google Play Store Apps," Feb 2019. [Online]. Available: https://www.kaggle.com/lava18/google-play-store-apps

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!

App Download Key StatisticsApp and Game DownloadsiOS App and Game DownloadsGoogle Play App and Game DownloadsGame DownloadsiOS Game DownloadsGoogle Play Game DownloadsApp DownloadsiOS App...

Dataset

This dataset was created by Zakaria Hussain

Contents

In 2023, Apple allowed for 73 mobile apps that were previously removed from its Apple App Store to be reinstated after an appeal process. The Apple App Store for the Chinese market saw 66 previously removed apps being reintegrated, after successfully appealing. Additionally, 26 iOS apps were reintroduced to the Apple App Store in the United Kingdom after appealing to a previous removal.

Context

Google Play stores top 500 app data based on their rankings on January 2022 for all the available categories. Link to scraping code: https://github.com/Shakthi-Dhar/AppPin Link to backup datafiles: github data files

Content

The dataset contains the top 500 android apps available on the google play store for the following categories: All Categories, Art & Design, Auto & Vehicles, Beauty, Books & Reference, Business, Comics, Communication, Education, Entertainment, Events, Finance, Food & Drink, Health & Fitness, House & Home, Libraries & Demo, Lifestyle, Maps & Navigation, Medical, Music & Audio, News & Magazines, Parenting, Personalization, Photography, Productivity, Shopping, Social, Sports, Tools, Travel & Local, and Video Players & Editors.

The app rankings are based on google play store app rankings for January 2022.

Abbreviations

In Review and Downloads, the alphabet T, L, Cr represents Thousands, Lakhs, Crores as per the google play store naming convention. They are similar to M, B which represent millions, billions. 1L (1 Lakh) = 100T (100 Thousand) 10L (10 Lakhs) = 1M (1 Million) 1Cr( 1 Crore) = 10M (10 Million)

Acknowledgements

This data is not provided directly by Google, so I used Appium an automation tool with python to scrape the data from the google play store app.

Inspiration

Inspired by Fortune500. Fortune500 provides data on top companies in the world, so why not have a data source for top apps in the world.

Among iOS apps hosted in the Apple App Store as of September 2024, Firebase was the most popular mobile software development kit (SDK) for analytics with a 77 percent integration reach. Second-ranked Fabric, Facebook Analytics, and Google Analytics were integrated within16 percent of apps in the Apple App Store, respectively.

Explore the Google Play Store Reviews Database, a comprehensive collection of user reviews for various apps available on the Google Play Store.

This dataset includes millions of reviews across a wide range of categories such as games, productivity, social media, finance, health, and more. Each review entry provides essential details, including app names, user ratings, review texts, review dates, and user feedback, offering valuable insights for developers, data analysts, and market researchers.

Key Features:

• Extensive Review Coverage: Contains millions of user reviews from the Google Play Store, covering various app categories like games, productivity, social media, finance, and health.
• Detailed Review Information: Each review includes key details such as app name, user rating, review text, review date, and user feedback, allowing for in-depth analysis of user sentiment and app performance.
• Ideal for Market Analysis: Perfect for developers, data scientists, and market researchers interested in analyzing user feedback, studying trends in app usage, or optimizing app development strategies based on user reviews.
• Rich Source of User Insights: Provides a comprehensive overview of user experiences and preferences, helping professionals stay updated on the latest trends, popular apps, and user satisfaction levels.

Whether you're analyzing user feedback, researching market trends, or developing new app strategies, the Google Play Store Reviews Database is an invaluable resource that provides detailed insights and extensive coverage of app reviews on the Google Play Store.

We built a crawler to collect data from the Google Play store including the application's metadata and APK files. The manifest files were extracted from the APK files and then processed to extract the features. The data set is composed of 870,515 records/apps, and for each app we produced 48 features. The data set was used to built and test two bootstrap aggregating of multiple XGBoost machine learning classifiers. The dataset were collected between April 2017 and November 2018. We then checked the status of these applications on three different occasions; December 2018, February 2019, and May-June 2019.

App Store Market Outlook

According to our latest research, the global App Store market size reached USD 190.4 billion in 2024, driven by the rapid proliferation of smartphones and increasing internet penetration worldwide. The market is expanding at a robust CAGR of 12.1% and is forecasted to attain a value of USD 532.7 billion by 2033. This remarkable growth is primarily attributed to the escalating demand for mobile applications across diverse categories, the continuous evolution of app monetization models, and the increasing integration of advanced technologies such as AI and AR/VR into mobile platforms. As per our latest research, the App Store market is poised for sustained expansion, with innovation and user engagement strategies acting as key growth levers.

The exponential growth of the App Store market is underpinned by the surging adoption of smartphones and mobile devices globally. With over 6.8 billion smartphone users worldwide in 2024, the demand for mobile applications has reached unprecedented levels, catalyzing the expansion of app stores across different platforms. The proliferation of affordable devices, coupled with improved internet accessibility even in emerging markets, has significantly broadened the user base for app stores. Furthermore, the ongoing digital transformation across sectors such as healthcare, education, and finance is fostering the development and deployment of specialized apps, thereby fueling the overall market growth. The integration of advanced features like AI-based recommendations and personalized user experiences is also enhancing user engagement, driving higher downloads and in-app purchases.

Another major growth driver for the App Store market is the diversification of revenue models. The shift from traditional paid app downloads to more dynamic models such as in-app purchases and subscriptions has revolutionized the way developers and app store operators generate revenue. Subscription-based models, in particular, have gained immense popularity in categories like entertainment, productivity, and health & fitness, offering recurring revenue streams and higher customer lifetime value. Additionally, the rise of freemium models, wherein users can access basic features for free and pay for premium functionalities, has democratized app access and expanded the addressable market. This evolution in monetization strategies is encouraging more developers to innovate and launch new applications, further enriching the app ecosystem.

The App Store market is also benefiting from the growing emphasis on user security, privacy, and regulatory compliance. App store operators are increasingly investing in robust vetting processes, enhanced data protection measures, and transparent policies to foster trust among users and developers. This focus on security not only mitigates risks associated with malware and data breaches but also enhances the overall credibility of app stores, attracting more users and high-quality developers. The emergence of region-specific regulations, such as GDPR in Europe and similar frameworks in other regions, is compelling app stores to adopt best practices in data governance, further solidifying their market position.

From a regional perspective, Asia Pacific dominates the App Store market, accounting for the largest share in 2024 due to its vast population, high smartphone penetration, and dynamic app development landscape. North America and Europe follow closely, driven by mature digital infrastructures and high consumer spending on digital services. Emerging markets in Latin America and the Middle East & Africa are witnessing rapid growth, propelled by increasing mobile adoption and supportive government initiatives promoting digital inclusion. Regional disparities in regulatory frameworks, consumer preferences, and payment ecosystems present both opportunities and challenges for app store operators seeking to expand their global footprint.

Platform Analysis

The App Store market is segmented by platform into iOS, Android, Windows, and Others, each contributing uniquely to the market's overall dynamics. The iOS platform, operated by Apple, is renowned for its premium user base, stringent app quality standards, and robust security features. In 2024, iOS accounted for a significant share of the global app store revenue, particularly in developed markets such as North America and Western Europe. The platform's empha

This dataset encompasses a wide-ranging collection of Google Play applications, providing a holistic view of the diverse ecosystem within the platform. It includes information on various attributes such as the title, developer, monetization features, images, app descriptions, data safety measures, user ratings, number of reviews, star rating distributions, user feedback, recent updates, related applications by the same developer, content ratings, estimated downloads, and timestamps. By aggregating this data, the dataset offers researchers, developers, and analysts an extensive resource to explore and analyze trends, patterns, and dynamics within the Google Play Store. Researchers can utilize this dataset to conduct comprehensive studies on user behavior, market trends, and the impact of various factors on app success. Developers can leverage the insights derived from this dataset to inform their app development strategies, improve user engagement, and optimize monetization techniques. Analysts can employ the dataset to identify emerging trends, assess the performance of different categories of applications, and gain valuable insights into consumer preferences. Overall, this dataset serves as a valuable tool for understanding the broader landscape of the Google Play Store and unlocking actionable insights for various stakeholders in the mobile app industry.