User Feedback Dataset from the Top 15 Downloaded Mobile Applications

This dataset comprises user feedback data collected from 15 globally acclaimed mobile applications, spanning diverse categories. The included applications are among the most downloaded worldwide, providing a rich and varied source for analysis. The dataset is particularly suitable for Natural Language Processing (NLP) applications, such as text classification and topic modeling.

List of Included Applications:

• TikTok
• Instagram
• Facebook
• WhatsApp
• Telegram
• Zoom
• Snapchat
• Facebook Messenger
• Capcut
• Spotify
• YouTube
• HBO Max
• Cash App
• Subway Surfers
• Roblox

Data Columns and Descriptions:

• review_id: Unique identifiers for each user feedback/application review.
• content: User-generated feedback/review in text format.
• score: Rating or star given by the user.
• TU_count: Number of likes/thumbs up (TU) received for the review.
• app_id: Unique identifier for each application.
• app_name: Name of the application.
• RC_ver: Version of the app when the review was created (RC).

Terms of Use:

This dataset is open access for scientific research and non-commercial purposes. Users are required to acknowledge the authors' work and, in the case of scientific publication, cite the most appropriate reference:

1.Paper

M. H. Asnawi, A. A. Pravitasari, T. Herawan, and T. Hendrawati, "The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling," in IEEE Access, vol. 11, pp. 130272-130286, 2023, doi: https://doi.org/10.1109/ACCESS.2023.3332644

2.Dataset

Asnawi, M. H., Pravitasari, A. A., Herawan, T., & hendrawati, T. (2023). User Feedback Dataset from the Top 15 Downloaded Mobile Applications [Data set]. In The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling (1.0.0, Vol. 11, pp. 130272–130286). Zenodo. https://doi.org/10.5281/zenodo.10204232

Researchers and analysts are encouraged to explore this dataset for insights into user sentiments, preferences, and trends across these top mobile applications. If you have any questions or need further information, feel free to contact the dataset authors.

The Mobile Application Market is Segmented by Store Type (Google Play Store, Apple App Store, and More), Application Category (Gaming, Social Networking and Communication, Entertainment and Media, Health and Fitness, Retail and E-Commerce, and More), Operating System (Android, IOS, and More), Monetization Model (Paid Apps, In-App Purchase, and More), and Geography.

The graph shows a comparison for app downloads worldwide from 2018 to 2024, using data from Sensor Tower and data.ai. Global app downloads have plateaued in recent years, even declining, after seeing strong growth during the COVID-19 pandemic. For 2024, 136 billion unique downloads per user account were recorded. Why the difference? Source methodology explains the gap The discrepancy arises from significant differences in the methodology used by the sources to aggregate and generate the data. Sensor Tower reports only unique downloads per user account, excluding app updates, re-downloads, and installations on multiple devices by the same user. In contrast, data.ai includes these additional activities as well as downloads from third-party Android stores and a broader geographic scope, resulting in substantially higher total counts. As a result, Sensor Tower's numbers better reflect new user acquisition, while data.ai's encompass all market activity and total engagement. Despite stagnating downloads user spending is growing While the number of downloads is leveling off, consumer spending on in-app purchases and related revenue has grown in 2024 to 150 billion U.S. dollars, up from around 130 billion U.S. dollars in 2023. While gaming remains the highest grossing app category overall, other categories drove the growth. The entertainment, photo & video, productivity, and social networking categories each grew by at least one billion U.S. dollars in revenue in 2024 compared to the previous year.

This dataset has been artificially generated to mimic real-world user interactions within a mobile application. It contains 100,000 rows of data, each row of which represents a single event or action performed by a synthetic user. The dataset was designed to capture many of the attributes commonly tracked by app analytics platforms, such as device details, network information, user demographics, session data, and event-level interactions.

Key Features Included

User & Session Metadata

User ID: A unique integer identifier for each synthetic user. Session ID: Randomly generated session identifiers (e.g., S-123456), capturing the concept of user sessions. IP Address: Fake IP addresses generated via Faker to simulate different network origins. Timestamp: Randomized timestamps (within the last 30 days) indicating when each interaction occurred. Session Duration: An approximate measure (in seconds) of how long a user remained active. Device & Technical Details

Device OS & OS Version: Simulated operating systems (Android/iOS) with plausible version numbers. Device Model: Common phone models (e.g., “Samsung Galaxy S22,” “iPhone 14 Pro,” etc.). Screen Resolution: Typical screen resolutions found in smartphones (e.g., “1080x1920”). Network Type: Indicates whether the user was on Wi-Fi, 5G, 4G, or 3G. Location & Locale

Location Country & City: Random global locations generated using Faker. App Language: Represents the user’s app language setting (e.g., “en,” “es,” “fr,” etc.). User Properties

Battery Level: The phone’s battery level as a percentage (0–100). Memory Usage (MB): Approximate memory consumption at the time of the event. Subscription Status: Boolean flag indicating if the user is subscribed to a premium service. User Age: Random integer ranging from teenagers to seniors (13–80). Phone Number: Fake phone numbers generated via Faker. Push Enabled: Boolean flag indicating if the user has push notifications turned on. Event-Level Interactions

Event Type: The action taken by the user (e.g., “click,” “view,” “scroll,” “like,” “share,” etc.). Event Target: The UI element or screen component interacted with (e.g., “home_page_banner,” “search_bar,” “notification_popup”). Event Value: A numeric field indicating additional context for the event (e.g., intensity, count, rating). App Version: Simulated version identifier for the mobile application (e.g., “4.2.8”). Data Quality & “Noise” To better approximate real-world data, 1% of all fields have been intentionally “corrupted” or altered:

Typos and Misspellings: Random single-character edits, e.g., “Andro1d” instead of “Android.” Missing Values: Some cells might be blank (None) to reflect dropped or unrecorded data. Random String Injections: Occasional random alphanumeric strings inserted where they don’t belong. These intentional discrepancies can help data scientists practice data cleaning, outlier detection, and data wrangling techniques.

Usage & Applications

Data Cleaning & Preprocessing: Ideal for practicing how to handle missing values, inconsistent data, and noise in a realistic scenario. Analytics & Visualization: Demonstrate user interaction funnels, session durations, usage by device/OS, etc. Machine Learning & Modeling: Suitable for building classification or clustering models (e.g., user segmentation, event classification). Simulation for Feature Engineering: Experiment with deriving new features (e.g., session frequency, average battery drain, etc.).

Important Notes & Disclaimer

Synthetic Data: All entries (users, device info, IPs, phone numbers, etc.) are artificially generated and do not correspond to real individuals. Privacy & Compliance: Since no real personal data is present, there are no direct privacy concerns. However, always handle synthetic data ethically.

As of January 2025, around ** percent of the data linked to users collected by iOS apps was used by app publishers to integrate their product's functionalities. In comparison, ** 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 ** percent of identifiable user data and ** percent of non-identifiable users' data went to improve or integrate third-party advertising services.

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

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Mobile Application Market Size 2025-2029

The mobile application market size is valued to increase USD 2630 billion, at a CAGR of 31.1% from 2024 to 2029. Growing penetration of smartphones will drive the mobile application market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 39% growth during the forecast period.
By Platform - Android market segment was valued at USD 236.40 billion in 2023
By Type - Gaming segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 978.60 billion
Market Future Opportunities: USD 2630.00 billion
CAGR from 2024 to 2029 : 31.1%

Market Summary

The market represents a dynamic and continually evolving landscape, driven by the increasing penetration of smartphones and the growing number of mobile apps for IoT devices. Core technologies, such as artificial intelligence and machine learning, are revolutionizing application development and usage, while service types like mobile app testing and analytics are becoming essential components of the mobile app ecosystem. The cost associated with mobile app development and operation continues to be a significant challenge for businesses, yet the opportunities for innovation and engagement are immense.
According to recent estimates, over 51% of all internet traffic comes from mobile devices, underscoring the importance of a strong mobile application presence for businesses seeking to reach and engage their customers effectively.

What will be the Size of the Mobile Application Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Mobile Application Market Segmented?

The mobile application industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Platform

  Android market
  iOS market
  Others


Type

  Gaming
  Music and entertainment
  Health and fitness
  Social networking
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Platform Insights

The android market segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving market, location-based services have gained significant traction, enabling users to access customized content based on their geographical location. User authentication systems ensure secure access to applications, while user interface design and software testing methodologies ensure seamless user experiences. Database management systems and mobile analytics platforms facilitate data-driven decision-making, while backend infrastructure and application performance management optimize application functionality. The market embraces various development methodologies, including the waterfall development method, cloud computing services, and agile development process. Payment gateway integration and in-app purchase systems facilitate monetization strategies. Software development kits, application performance monitoring, and app development lifecycle tools streamline the development process.

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The Android market segment was valued at USD 236.40 billion in 2019 and showed a gradual increase during the forecast period.

User interaction design and mobile UI design focus on enhancing user experience, while mobile app monetization strategies cater to diverse revenue models. Hybrid mobile development, responsive web design, frontend development, and data encryption methods ensure versatility and security. Software deployment strategies, cross-platform development, version control systems, and code repository management enable efficient development and maintenance. Scalable architecture, native mobile development, push notification services, and application security testing ensure robustness and reliability. As of 2023, approximately 60% of Android users access the Google Play Store, with adoption growing by 18%. Future industry growth is expected to reach 25%, driven by the increasing demand for mobile applications across various sectors.

The Android operating system, with its vast user base and versatile development tools, continues to dominate the market.

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Regional Analysis

APAC is estimated to contribute 39% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Mobile Application Market Demand is Rising in APAC Request Free Sample

The Asia-Pacific (APAC) region dominate

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Description:

This dataset contains records of events and errors related to the operation of mobile applications on various mobile devices. Each entry includes information about the timestamp, device characteristics, session identifiers, and textual descriptions of events or errors.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10074224%2F72a315b39866c02162b229d5a209f4b4%2F5.png?generation=1695227457850330&alt=media" alt=""> Data Fields: - Status: A numerical indicator of the event status (e.g., 0 for success, 1 for error). - Event: A textual description of the action or event, including error text if an error occurred. - Device Identification: Information about the mobile device, including model and Android version. - App Version: The version of the mobile application experiencing the event. - App Language: The language in which the application is running. - Android Version: The version of the Android operating system on the device. - Session Identifiers: Unique session or device identifiers associated with the event. - Additional Data: Additional event details, such as the country and other characteristics. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10074224%2Fbca8f9b9fb8288e258a59fad5e53ac15%2F4.png?generation=1695227273200372&alt=media" alt="">

The size of the Mobile Application Market was valued at USD 285.96 Billion in 2023 and is projected to reach USD 698.16 Billion by 2032, with an expected CAGR of 13.60% during the forecast period. Recent developments include: In May 2020, a mobile app development company, Incapptic Connect GmbH has been acquired by Mobilelron Inc. It will help in deploying and developing a secure base for application development. In January 2020, a provider of a no-code development platform, AppSheet had been acquired by Google LLC. It will help in developing software for applications. Various companies like EA Sports, Ubisoft, and Gameloft are investing huge sums for the development of high graphic games that will be playable on smartphones as well. The development in the mobile application market has resulted in the growing usage of applications in various sectors like the banking sector, government sector, retail sector, hotel & restaurant sector, education sector, and airlines sector. The largest market share in the global mobile application in the global market is held by the North American region owing to the presence of a large number of mobile users. , This global mobile application market research report contains factors that drive the growth of the mobile application market in the global market along with the factors that restrict its growth in the global market. The opportunities available for the growth of the mobile application market during the forecasted period are mentioned. The impact of COVID 19 on the sales revenue of the mobile application market all across the globe is mentioned. The future growth during the forecasted period is estimated and mentioned.. Key drivers for this market are: App security and data privacy concerns Lack of skilled app developers Competition from web-based applications Limited monetization options for non-gaming apps. Potential restraints include: App security and data privacy concerns Lack of skilled app developers Competition from web-based applications Limited monetization options for non-gaming apps. Notable trends are: Augmented reality (AR) and virtual reality (VR) Artificial intelligence (AI) Blockchain technology Mobile health (mHealth) Wearable devices.

Introduction

Mobile App Industry Statistics: In the past ten years, the mobile app industry statistics have transformed the way businesses operate and how consumers interact with technology. Due to the prevalence of smartphones and mobile devices in our society, the demand for mobile applications has become so high that it can be said to have made a booming business ecosystem, from developers to users. As of 2023, the global mobile app industry statistics market is valued at about USD 500 billion, which indicates its centrality in the digital economy.

It is an industry that serves as a pillar for a modern economy, innovating across the entertainment, finance, health, and education sectors. Various factors, including enhanced technology, internet ubiquity, and dynamic consumer behavior, have propelled changes in mobile applications over time.

In 2023, approximately seven billion mobile phone users worldwide downloaded over two hundred eighteen billion apps (more than). By 2024, this figure will reach around two hundred thirty billion, according to emerging economies and increasing adoption of 5G technology.

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...

Link to code

Description:

The **company* that I work for builds iOS & Android mobile applications that are available in the App Store (iOS) and on Google Play (Android). I am a 'data analyst' at this company and am responsible for guiding the software developers in making data-driven decisions in regards to which apps they should build.

**This project was completed as part of a DataQuest course and was not used for a real company.*

Plan:

The criteria that my company has laid out for a successful app can be determined as follows:

• Create a minimal Android version of the application and add it to Google Play.
• The app will be developed further IF it gets a good response from users.
• If app continues to be profitable after 6 months, an iOS version will be built and added to the App store.

The applications my company builds are all free for users to download and install. Our revenue mainly comes from in-app ads, so the number of users for any given app directly influences our profit.

Goal:

The main goal for this project is to analyze data and give our developers more insight on which kind of apps are more likely to attract users.

Conclusion:

Throughout this project, I analyzed data for the mobile apps in the App Store and Google Play in order to understand which apps would be profitable for both markets. I concluded that turning a popular book into an app could become profitable for both Google Play and the App Store. The team might include an audible version of the book, trivia, in-app platform to discuss with other users, daily quotes and more within the app.

The two .csv files for analysis: App Store Google PlayStore

"Internet browser" and "E-mail services" are the top two answers among Finnish consumers in our survey on the subject of "Most used smartphone apps by type".Find this and more survey data on most used smartphone apps by type in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

Key US App Market StatisticsUS App Market SizeUS App Market Revenue by AppUS Smartphone UsersUS Smartphone PopulationTime Spent on Apps in the USUS App Market DownloadsUS Downloads by AppUS Daily...

Aaditya1/Mobile-Application-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

The Mobile Application Development Platform Market Report Segments the Industry Into Platform Type (Android, IOS, Windows, and More), Deployment Mode (Cloud, and On-Premise), End-User Industry (BFSI, Retail and E-Commerce, Healthcare, IT and Telecom, Media and Entertainment, Education, Government, and Others), Organization Size (Large Enterprises, and Small and Medium Enterprises (SMEs)), and Geography.

Discover the explosive growth of the mobile app store market! Our analysis projects a booming future driven by 5G, mobile gaming, and e-commerce. Learn about key players, market trends, and regional insights from 2019-2033. Get the data-driven forecast you need today!

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 2032, growing at a CAGR of 16.3% over the forecast period of 2026 to 2032.Global Mobile Apps And Web Analytics Market DriversIncreasing 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.

Discover the booming mobile application market! Our comprehensive analysis reveals a 9% CAGR, driven by smartphone adoption and diverse industry applications. Explore market size projections, regional trends, and key players shaping this dynamic sector through 2033. Key drivers for this market are: , Rising Adoption of Cloud Services and Increasing Penetration of IOT Applications; Increasing Demand for Mobile Enterprise Integration. Potential restraints include: , Concerns Regarding Data Security and Data Breaching Globally. Notable trends are: Adoption of On-Cloud Mobile Middleware Seeing Fastest Growth.

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.