As of January 2025, around 13.7 percent of paid iOS apps admitted collecting data from users engaging with their mobile products. In comparison, approximately 53 percent of free-to-download iOS apps reported they collect private data from users worldwide, while approximately 86 percent of paid apps have not declared whether they collect users' privacy data.

The mobile app industry has been active for over a decade now, generating billions of dollars in revenue for Apple, Google and thousands of mobile app developers. While originally not perceived as...

The microblogging service Threads was downloaded more than ** million times in Japan in 2024, which made it the leading social app in terms of downloads during that year. It was followed by Instagram, LINE, and X (formerly known as Twitter).

The number of downloads of health and fitness apps in Saudi Arabia was modeled to be ************* in 2024. Following a continuous upward trend, the downloads have risen by ************* since 2017. Between 2024 and 2029, the downloads will rise by *************, continuing their consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Health & Fitness.

The number of Fruit Ninja 2 Fun Action Games app downloads on Google, Apple, and Android devices published by Halfbrick Studios in the United States stood at ******* in the third quarter of 2025. This is lower than the previous observation from the second quarter of 2025, when the downloads had been *******.

The global utility app market size is predicted to grow from USD 6.06 billion in 2025 to USD 12.61 billion by 2035, supported by CAGR gains over 7.6%. Key stakeholders in the industry are Honda, Yamaha, Harley-Davidson, BMW Motorrad, Kawasaki, leading innovation and setting industry benchmarks.

In 2024, Threads was the most downloaded app on iOS worldwide. The text-based conversation app gained more than 156 million downloads worldwide during the examined year. WhatsApp Messenger ranked second with approximately 107.58 million downloads globally during the examined period. Email app by Google, Gmail, followed closely with 99.26 million downloads on iOS from global users.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13364933%2F23694fae55e2e76299358693ba6f32b9%2Flv-share.jpg?generation=1684843825246772&alt=media" alt=""> ➡️ There are total 3 datasets containing valuable information. ➡️ Understand people's fame and behavior's on a dating app platform. | Column Name | Description | |---------------------|------------------------------| | Age | The age of the user. | | Number of Users | The total number of users. | | Percent Want Chats | Percentage of users who want chats. | | Percent Want Friends| Percentage of users who want friendships. | | Percent Want Dates | Percentage of users who want romantic dates. | | Mean Kisses Received| Average number of kisses received by users. | | Mean Visits Received| Average number of profile visits received by users. | | Mean Followers | Average number of followers for each user. | | Mean Languages Known| Average number of languages known by users. | | Total Want Chats | Total count of users interested in chats. | | Total Want Friends | Total count of users looking for friendships. | | Total Want Dates | Total count of users seeking romantic dates. | | Total Kisses Received| Overall count of kisses received by users. | | Total Visits Received| Overall count of profile visits received by users. | | Total Followers | Overall count of followers for all users. | | Total Languages Spoken| Total count of languages spoken by all users. |

SUMMARY

When Dating apps like Tinder were becoming viral, people wanted to have the best profile in order to get more matches and more potential encounters. Unlike other previous dating platforms, those new ones emphasized on the mutuality of attraction before allowing any two people to get in touch and chat. This made it all the more important to create the best profile in order to get the best first impression.

Parallel to that, we Humans have always been in awe before charismatic and inspiring people. The more charismatic people tend to be followed and listened to by more people. Through their metrics such as the number of friends/followers, social networks give some ways of "measuring" the potential charisma of some people.

In regard to all that, one can then think:

what makes a great user profile ? how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? what makes a person charismatic ? how do charismatic people present themselves ? In order to try and understand those different social questions, I decided to create a dataset of user profile informations using the social network Lovoo when it came out. By using different methodologies, I was able to gather user profile data, as well as some usually unavailable metrics (such as the number of profile visits).

Content

The dataset contains user profile infos of users of the website Lovoo.

The dataset was gathered during spring 2015 (april, may). At that time, Lovoo was expanding in european countries (among others), while Tinder was trending both in America and in Europe. At that time the iOS version of the Lovoo app was in version 3.

Accessory image data The dataset references pictures (field pictureId) of user profiles. These pictures are also available for a fraction of users but have not been uploaded and should be asked separately.

The idea when gathering the profile pictures was to determine whether some correlations could be identified between a profile picture and the reputation or success of a given profile. Since first impression matters, a sound hypothesis to make is that the profile picture might have a great influence on the number of profile visits, matches and so on. Do not forget that only a fraction of a user's profile is seen when browsing through a list of users.

https://s1.dmcdn.net/v/BnWkG1M7WuJDq2PKP/x480

Details about collection methodology In order to gather the data, I developed a set of tools that would save the data while browsing through profiles and doing searches. Because of this approach (and the constraints that forced me to develop this approach) I could only gather user profiles that were recommended by Lovoo's algorithm for 2 profiles I created for this purpose occasion (male, open to friends & chats & dates). That is why there are only female users in the dataset. Another work could be done to fetch similar data for both genders or other age ranges.

Regarding the number of user profiles It turned out that the recommendation algorithm always seemed to output the same set of user profiles. This meant Lovoo's algorithm was probably heavily relying on settings like location (to recommend more people nearby than people in different places or countries) and maybe cookies. This diminished the number of different user profiles that would be pr...

Year, month, organization name, app name, type, total number of downloads.

The pie chart showcases the distribution of app/software spending by store category in Fiji, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Beauty & Fitness exhibits the highest spending, with a total expenditure of $31.09K units representing 33.97% of the overall spending. Following closely behind is Computers with a spend of $15.30K units, comprising 16.72% of the total. Apparel also contributes significantly with a spend of $8.29K units, accounting for 9.06% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

Netflix was conceived in 1997 by Reed Hastings (the current CEO) and Marc Randolph. Both had previous ventures in the West Coast tech scene, Hastings was the owner of debugging software firm Pure...

The number of Dating and Chat - Liketoo app downloads on Google, Apple, and Android devices published by Red Panda App worldwide amounted to ************ in the third quarter of 2025. This is higher than the previous observation from the second quarter of 2025, when the downloads had been *******.

This chart provides a comprehensive view of the total app spend in the Autos & Vehicles sector, segmented by region. It illustrates how much stores in different regions are investing in apps and software to enhance their business operations and customer services. In United States, the total app spend is significant, with stores investing $39.60M, which accounts for 63.74% of the overall app expenditure in the Autos & Vehicles. United Kingdom follows, with a total spend of $5.89M, making up 9.48% of the category's total. Canada also shows considerable investment in technology, with a spend of $5.13M, representing 8.26% of the total. These figures not only reveal the financial commitment of stores in each region towards technology but also indicate regional trends and priorities in the Autos & Vehicles market.

Dataset contains 1 excel workbook (.xlsx) with 2 sheets.

• Sheet 1 - App Store Games contains the mobile games launched on App Store from 2008 - 2019.
• Sheet 2 - Data Dictionary is just the explanation of columns in data.

This data can be used to practice EDA and some data cleaning tasks. Can be used for Data visualization using python Matplotlib and Seaborn libraries.

I used this dataset for a Power BI project also and created a Dashboard on it. Used python inside power query to clean and convert some encoded and Unicode characters from App URL, Name, and Description columns.

Total Columns: 16

• App URL
• App ID
• Name
• Subtitle
• Icon URL
• Average User Rating
• User Rating Count
• Price per App (USD)
• Description
• Developer
• Age Rating
• Languages
• Size in Bytes
• Primary Genre
• Genres
• Release Date

The Product-Led Revenue (PLR) App market is experiencing significant transformation, driven by a shift towards leveraging products as the primary method to acquire, retain, and expand customer relationships. This innovative approach empowers businesses to drive revenue directly from their products, rather than solel

Keystroke Privacy App Market Outlook

According to our latest research, the global keystroke privacy app market size reached USD 1.38 billion in 2024, driven by heightened concerns over data privacy and increased cyber threats. The market is projected to expand at a robust CAGR of 13.7% from 2025 to 2033, reaching an estimated USD 4.12 billion by 2033. This impressive growth is primarily fueled by the proliferation of digital devices, rising incidences of cyberattacks, and the increasing adoption of privacy-centric applications across both personal and enterprise environments.

A significant driver for the keystroke privacy app market is the escalating frequency and sophistication of cyber threats targeting sensitive personal and organizational data. As remote work becomes a norm and digital transactions surge, individuals and enterprises are increasingly vulnerable to keylogging malware and unauthorized data interception. Keystroke privacy apps, which provide real-time protection against such threats, have become essential tools for safeguarding confidential information. The growing awareness among users regarding the risks associated with unsecured digital activity has led to a marked surge in demand for advanced privacy solutions, further propelling market expansion.

Another critical growth factor is the evolution of regulatory frameworks globally, mandating stricter data protection and privacy compliance. Regulatory initiatives such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States have compelled organizations to adopt robust privacy measures, including keystroke privacy applications, to avoid hefty penalties and reputational damage. These regulations are not only influencing enterprise adoption but also encouraging app developers to innovate and enhance their solutions, ensuring compliance while delivering superior user experiences. This regulatory push is expected to sustain the market’s upward trajectory throughout the forecast period.

The rapid advancement in mobile technologies and the exponential growth in smartphone and tablet usage have also played a pivotal role in the market’s expansion. With mobile devices becoming primary tools for both personal and professional activities, the need for comprehensive keystroke privacy solutions has intensified. Modern keystroke privacy apps are now designed to cater to multi-platform environments, offering seamless protection across Windows, macOS, Android, iOS, and Linux. This cross-platform compatibility not only broadens the addressable market but also enables enterprises to implement unified security policies, further stimulating market growth.

Regionally, North America currently dominates the keystroke privacy app market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The presence of major cybersecurity vendors, high digital adoption rates, and stringent regulatory standards underpin North America’s leadership. Meanwhile, Asia Pacific is emerging as a high-growth region, driven by rapid digitalization, increasing smartphone penetration, and rising awareness of privacy risks. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by improving digital infrastructure and growing emphasis on cybersecurity.

Component Analysis

The keystroke privacy app market by component is broadly segmented into software and services. The software segment remains the dominant revenue contributor, as organizations and individuals prioritize robust, user-friendly applications that offer comprehensive protection against keylogging and unauthorized data access. Modern keystroke privacy software incorporates advanced encryption, behavioral analytics, and real-time monitoring, making it a preferred choice for end-users seeking proactive security measures. The software segment’s growth is further propelled by frequent updates and feature enhancements, ensuring compatibility with evolving operating systems and new threat vectors.

Within the software category, there is a marked shift towards solutions that leverage artificial intelligence and machine learning to detect and respond to sophisticated threats. This technological evolution is driving the adoption of premium software offerings, particularly among enterprises and high-net-worth individuals who require advanc

The In-App Advertising market has rapidly evolved into a fundamental component of the digital marketing ecosystem, offering brands a unique opportunity to engage with consumers directly within mobile applications. As more users spend significant time on their smartphones and tablets, advertisers increasing...

Mobile App Attestation Market Outlook

According to our latest research, the global mobile app attestation market size reached USD 1.42 billion in 2024, reflecting the surging importance of mobile security across industries. The market is set to grow at a robust CAGR of 13.9% from 2025 to 2033, with the total market value projected to reach USD 4.14 billion by 2033. This impressive growth trajectory is primarily driven by the escalating frequency and sophistication of cyber threats targeting mobile applications, as well as the increasing adoption of digital transformation initiatives across both enterprises and government sectors.

A primary growth factor for the mobile app attestation market is the exponential rise in mobile device usage for critical functions such as banking, healthcare, and e-commerce. As organizations and individuals rely more heavily on mobile apps for sensitive transactions and data storage, the risk landscape has evolved, necessitating robust attestation solutions. These solutions ensure that mobile apps remain untampered, authentic, and secure, thereby safeguarding user data and maintaining regulatory compliance. The proliferation of mobile malware and fraudulent applications has further amplified the demand for advanced attestation technologies, as businesses seek to protect both their assets and their customersÂ’ trust. Additionally, the growing integration of mobile apps with IoT devices and cloud platforms has expanded the attack surface, making attestation an indispensable security layer for modern digital ecosystems.

Another key driver propelling the mobile app attestation market is the tightening regulatory environment across major economies. Governments and regulatory bodies are increasingly enforcing stringent data privacy and cybersecurity mandates, particularly in sectors such as banking, healthcare, and government services. Compliance with frameworks such as GDPR, HIPAA, and PSD2 has become non-negotiable for organizations, compelling them to adopt comprehensive security measures, including mobile app attestation. These regulations not only aim to protect user data but also foster a culture of digital trust, which is essential for the continued growth of digital services. As a result, enterprises are investing heavily in attestation solutions to ensure their mobile applications meet regulatory standards and avoid costly penalties or reputational damage.

Furthermore, technological advancements and the emergence of cloud-native and AI-driven attestation solutions are accelerating market growth. Modern attestation tools leverage machine learning to detect anomalies and potential threats in real-time, offering proactive protection against zero-day attacks and advanced persistent threats. Cloud-based deployment models have made these solutions more accessible and scalable, enabling organizations of all sizes to implement robust security frameworks without significant upfront investment. The ongoing innovation in attestation methodologies, coupled with the adoption of DevSecOps practices, is empowering organizations to integrate security seamlessly into the mobile application development lifecycle, thereby reducing vulnerabilities and enhancing overall resilience.

In the realm of mobile security, Device Identity Attestation plays a crucial role in ensuring the authenticity and integrity of mobile applications. As mobile devices become more sophisticated, the need for verifying the identity of each device accessing sensitive applications has become paramount. Device Identity Attestation provides a mechanism to confirm that a device is genuine and has not been tampered with, thereby preventing unauthorized access and potential data breaches. This process involves the use of cryptographic techniques to validate the device's identity, ensuring that only trusted devices can interact with secure applications. As organizations increasingly rely on mobile technology for critical operations, the implementation of Device Identity Attestation becomes a vital component of their security strategy, offering peace of mind and bolstering trust in mobile ecosystems.

From a regional perspective, North America currently dominates the mobile app attestation market, accounting for over 38% of the global revenue in 2024. This leadership is attributed to the presence of leading technology firms, high adoption rates of mobile appli

Abstract

fiNd HoT SiNgLeS iN yOuR aReA. Not really, this dataset is annonymous, but you can explore dating aspects though.

About this dataset

OkCupid is a mobile dating app. It sets itself apart from other dating apps by making use of a pre computed compatibility score, calculated by optional questions the users may choose to answer.

In this dataset, there are 60k records containing structured information such as age, sex, orientation as well as text data from open ended descriptions.

How to use

• Lover Recommendation with Unsupervised Learning
• Explore dating profiles and preferences

Acknowledgements

If you use this dataset in your research, please credit the authors.

Citation

@article{article, author = {Kim, Albert and Escobedo-Land, Adriana}, year = {2015}, month = {07}, pages = {}, title = {OkCupid Data for Introductory Statistics and Data Science Courses}, volume = {23}, journal = {Journal of Statistics Education}, doi = {10.1080/10691898.2015.11889737} }

Notes

• Permission to use this data set was explicitly granted by OkCupid. (source)
• Usernames and pictures are not included.
• The open text fields are somewhat unique, here is a description about them.

License

License was not specified at the source

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Photo by Giorgio Trovato on Unsplash

Splash icon

Logo by OkCupid available for download on their website.

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