This dataset provides a synthetic representation of user behavior on a fictional dating app. It contains 50,000 records with 19 features capturing demographic details, app usage patterns, swipe tendencies, and match outcomes. The data was generated programmatically to simulate realistic user interactions, making it ideal for exploratory data analysis (EDA), machine learning modeling (e.g., predicting match outcomes), or studying user behavior trends in online dating platforms.

Key features include gender, sexual orientation, location type, income bracket, education level, user interests, app usage time, swipe ratios, likes received, mutual matches, and match outcomes (e.g., "Mutual Match," "Ghosted," "Catfished"). The dataset is designed to be diverse and balanced, with categorical, numerical, and labeled variables for various analytical purposes.

Usage

This dataset can be used for:

Exploratory Data Analysis (EDA): Investigate correlations between demographics, app usage, and match success. Machine Learning: Build models to predict match outcomes or user engagement levels. Social Studies: Analyze trends in dating app behavior across different demographics. Feature Engineering Practice: Experiment with transforming categorical and numerical data.

The European online dating market, a dynamic sector characterized by diverse platforms and evolving user preferences, is poised for continued growth. Driven by increasing smartphone penetration, changing societal attitudes towards online relationships, and the convenience offered by digital platforms, the market is projected to expand significantly over the forecast period (2025-2033). While the exact market size for 2025 is not provided, considering a 5.20% CAGR from a hypothetical 2019 base of €2 billion (a reasonable assumption given the global scale of the online dating market), the 2025 market size can be estimated to be around €2.6 billion. The market is segmented into paying and non-paying online dating services, with paying services commanding a premium price point and offering enhanced features like profile boosts and advanced search filters. Competition is fierce, with established players like Tinder, Bumble, and Match Group Inc vying for market share alongside smaller niche platforms catering to specific demographics or relationship goals. Growth will be further fueled by innovative features, personalized matchmaking algorithms, and increased focus on safety and security measures within the apps. Regional variations are expected within Europe; the UK, Germany, and France are likely to remain dominant markets, driven by higher internet penetration and disposable income. However, growth potential is also considerable in other European countries as online dating adoption continues to increase. The key restraints to growth involve concerns around data privacy and security, the prevalence of fake profiles, and the potential for catfishing or scams. Moreover, evolving user expectations demand consistent innovation and improvement in features to keep the user experience engaging. Addressing these challenges through robust verification processes, improved user reporting mechanisms, and transparency regarding data handling will be crucial for sustained market expansion. The emergence of niche dating apps targeting specific communities or interests adds complexity and intensifies competition, further shaping the market landscape. Overall, the European online dating market displays resilience and high potential for growth, but sustained success requires a commitment to user safety, innovation, and adaptation to evolving consumer preferences. Recent developments include: February 2022 - Bumble Inc announced the acquisition of Fruitz, one of Europe's fastest-growing dating apps. The dating app is popular with Gen Z, a growing segment of online dating consumers. Such acquisitions by the major players in the region are promoting the growth of inline dating app services.. Key drivers for this market are: Continuous Innovation in Service Offerings, Growing Penetration of Smartphones and Mobile Devices. Potential restraints include: Continuous Innovation in Service Offerings, Growing Penetration of Smartphones and Mobile Devices. Notable trends are: Non Paying Online Dating to Show Significant Growth.

Link to github repo: https://github.com/Ashley-Xu/AIPIFinalDataset

The dataset is intended for research, analysis, and innovation. All efforts have been made to anonymize the data to ensure that no individual can be identified or harmed by its use.

Every effort has been made to uphold the privacy and confidentiality of the individuals whose data is represented in the dataset.

The dataset may only be used for ethical, responsible, and non-exploitative purposes. Users of the dataset are expected to:

Avoid any attempt to re-identify individuals or misuse the data in ways that could lead to harm, discrimination, or stigmatization. Adhere to applicable laws, regulations, and ethical guidelines relevant to data usage and research in their jurisdiction. Cite the dataset responsibly in any derivative work to maintain transparency about its source and limitations.

The dataset may reflect biases inherent in the original data source and population. Researchers are encouraged to be aware of these limitations and to take steps to address or acknowledge biases in their work to prevent misleading conclusions or harmful applications.

While every effort has been made to anonymize the data and protect privacy, no anonymization process is entirely risk-free. Users of the dataset assume full responsibility for ensuring that their research complies with ethical and legal standards.

The data was collected from https://www.swipestats.io/ with appropriate permissions from the owner of the website.

Open source license Community Data License Agreement – Sharing – Version 1.0

The North American online dating services market, encompassing both free and paid platforms, is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 5.60% from 2025 to 2033. This expansion is fueled by several key drivers. Firstly, the increasing prevalence of smartphones and readily available internet access has significantly broadened the reach and convenience of online dating. Secondly, shifting societal norms and a growing acceptance of online relationships contribute to market expansion. Thirdly, innovative features offered by dating apps, such as advanced matching algorithms, video chat capabilities, and safety measures, enhance user experience and attract a wider demographic. The market segmentation reveals a significant portion utilizing free services, but a substantial and growing revenue stream is generated from paid premium features and subscriptions. This suggests a trend towards users seeking more personalized and effective experiences, willing to pay for enhanced matching and communication tools. Competition is fierce, with established players like Match Group Inc. and eHarmony alongside newer entrants like Bumble and Hinge vying for market share. While data on specific market size values for 2025 and beyond are not provided, based on the 5.60% CAGR and estimating a 2025 market size of approximately $2 Billion (a reasonable estimate considering the market's maturity and reported growth in similar markets), a substantial expansion can be expected throughout the forecast period. Geographic concentration in North America, specifically the United States, Canada, and Mexico, reflects high internet penetration and a strong culture of embracing digital technologies for social interactions. However, potential restraints include concerns over data privacy and safety, the rise of alternative social connection methods, and the ongoing challenge of maintaining user engagement in a competitive landscape. Market players are continuously innovating to address these challenges, focusing on improved security features, enhanced user interfaces, and targeted marketing strategies to reach specific demographics. The ongoing evolution of features, coupled with effective marketing and addressing user concerns, will be crucial in determining the overall market trajectory within the North American region. This comprehensive report provides an in-depth analysis of the North America online dating services market, encompassing the historical period (2019-2024), base year (2025), and forecast period (2025-2033). It leverages extensive research to provide critical insights into market size, trends, segmentation, and key players, utilizing high-search-volume keywords such as online dating market, North America dating apps, dating app industry, online dating services revenue, and dating app market trends. The report is invaluable for investors, industry professionals, and anyone seeking to understand the dynamic landscape of the North American online dating sector. Recent developments include: March 2022 - Match Group has announced that it is launching the latest addition to its dating services lineup with Stir, an app designed exclusively for single parents. With the new release, the company aims to address the 20 million single parents in the U.S. who are under-served by existing dating apps.. Key drivers for this market are: Continuous Innovation in Service Offerings, Growing Penetration of Smartphones and Mobile Devices. Potential restraints include: Security Concerns of Data Privacy. Notable trends are: Rapid innovation in service offerings is driving the market growth.

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...

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Online Dating Services Market Size 2025-2029

The online dating services market size is forecast to increase by USD 2.9 billion at a CAGR of 5.8% between 2024 and 2029.

Online dating services have witnessed significant growth in recent years, driven by the increasing adoption of digital technologies and the rise of niche platforms catering to specific demographics. The integration of social media analytics and application development has enabled more effective matching algorithms, while artificial intelligence and machine learning are being leveraged to enhance user experience. However, concerns around security and privacy continue to pose challenges for the industry. Mobile applications dominate the market, offering convenience and accessibility to users. As online dating becomes more mainstream, there is a growing need for advanced security analytics to build trust and ensure user safety. This market analysis report explores these trends and challenges, providing insights into the future growth prospects of the market.

What will be the Size of the Online Dating Services Market During the Forecast Period?

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The market encompasses a vast array of internet platforms catering to single people In their quest for meaningful connections. With an increasing number of individuals prioritizing convenience and flexibility In their social lives, the market's sales continue to soar. Online dating services, which include dating sites and apps, have revolutionized the way people meet and interact, offering subscriptions that grant access to a vast pool of potential matches. Social media integration and artificial intelligence-driven matchmaking algorithms further enhance the user experience, allowing customers to connect with like-minded individuals more effectively. However, the industry faces challenges such as mischief and phishing attempts, requiring stringent security measures to protect personal details and online banking passwords.
Moreover, as internet usage continues to increase, the outlook for online dating services remains positive, with continued innovation and adaptation to customer priorities shaping the future of this dynamic and evolving market.

How is this Online Dating Services Industry segmented and which is the largest segment?

The online dating services 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.

Type

  Marriage
  Casual
  Socialize


Pricing Scheme

  Subscription
  Advertising


Platform

  Web-based
  App-based


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Type Insights

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

The marriage segment of the market caters to individuals seeking long-term, committed relationships. These users prioritize shared values, beliefs, and life goals in potential partners. They are typically older, with many In their 30s, 40s, and beyond. Online platforms serving this demographic utilize detailed profiles and advanced compatibility-matching algorithms, offering additional features like coaching and counseling to foster lasting relationships. From a business perspective, the marriage segment is valuable due to users' willingness to invest in premium services, making it a significant revenue generator for online dating providers. The use of technology, including email addresses and internet banking passwords, necessitates strong app security and protection against fraud activities, such as fake online accounts and phishing attempts.

Get a glance at the Online Dating Services Industry report of share of various segments Request Free Sample

The marriage segment was valued at USD 2.99 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 38% 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.

For more insights on the market share of various regions, Request Free Sample

The North American market is experiencing growth due to the increasing acceptance and popularity of online platforms for connecting single people. Key trends in this market include the integration of artificial intelligence (AI) and machine-learning algorithms, expansion into niche demographics, and the provision of video dating options. Major players, such as Match Group, eHarmony, and Bumble, dominate the market, offering various subscription models with free and premium options. The use of onli

Talent Meet-Up Speed-Dating App Market Outlook

According to our latest research, the global Talent Meet-Up Speed-Dating App market size was valued at USD 1.58 billion in 2024, exhibiting a robust growth trajectory with a CAGR of 16.2% from 2025 to 2033. Driven by the increasing demand for agile recruitment solutions and enhanced networking experiences, the market is projected to reach USD 4.71 billion by 2033. The surge in remote work culture, digital transformation in HR processes, and the growing adoption of AI-driven matchmaking algorithms are among the primary factors fueling this rapid market expansion.

One of the most significant growth factors for the Talent Meet-Up Speed-Dating App market is the rising shift toward digital-first hiring and networking strategies. Organizations and professionals alike are seeking efficient, time-saving platforms that can streamline the process of discovering talent or opportunities. These apps, inspired by the speed-dating concept, enable quick, structured, and meaningful interactions between job seekers, employers, and recruiters. The convenience of real-time matching, combined with data-driven insights and user-friendly interfaces, is transforming traditional recruitment and networking into a dynamic, engaging, and highly productive process. This shift is particularly pronounced among younger, tech-savvy generations entering the workforce, who value immediacy and personalization in their job search and professional networking experiences.

Another key driver is the integration of advanced technologies such as artificial intelligence, machine learning, and data analytics into Talent Meet-Up Speed-Dating Apps. These technologies enhance the matchmaking process by analyzing user profiles, preferences, and behavioral patterns to deliver highly relevant connections. AI-powered chatbots facilitate seamless communication, while analytics dashboards offer actionable insights to both users and recruiters. The adoption of these innovations not only improves user satisfaction but also increases the efficiency and effectiveness of talent acquisition and professional networking. As organizations continue to invest in digital transformation, the demand for intelligent, automated solutions in talent management is expected to intensify, further propelling market growth.

The evolving landscape of work, characterized by the rise of the gig economy and freelance culture, is also shaping the trajectory of the Talent Meet-Up Speed-Dating App market. Freelancers and independent professionals are leveraging these platforms to expand their networks, secure new projects, and collaborate with diverse organizations. Similarly, startups and enterprises are using these apps to access a broader talent pool, reduce hiring cycles, and foster a culture of innovation. The flexibility and scalability offered by these platforms make them an attractive choice for a wide range of end-users, from large enterprises to educational institutions and individual job seekers. This diversity in user base is contributing to the market’s sustained expansion and resilience against economic fluctuations.

Regionally, North America currently leads the Talent Meet-Up Speed-Dating App market, accounting for the largest market share in 2024. The region’s dominance is attributed to the presence of major tech hubs, high digital adoption rates, and a mature HR technology ecosystem. Asia Pacific, however, is expected to witness the fastest growth during the forecast period, driven by the rapid digitization of the workforce, increasing smartphone penetration, and a burgeoning startup ecosystem. Europe and Latin America are also experiencing steady growth, supported by government initiatives to promote digital skills and entrepreneurship. The Middle East & Africa region, while still emerging, is showing promising potential as organizations increasingly embrace digital recruitment solutions to address talent shortages and drive economic development.

Platform Analysis

The Talent Meet-Up Speed-Dati

The global dating apps market is experiencing robust growth, driven by increasing smartphone adoption and a cultural shift towards online matchmaking. Projections indicate a strong compound annual growth rate (CAGR) of 8% through 2033. This expansion is largely fueled by the Asia-Pacific region, which is emerging as the fastest-growing market due to its massive youth population and rapid digitalization. While North America and Europe remain mature, substantial markets, they face challenges of saturation, pushing companies to innovate with features like AI-powered matchmaking and video integration. Key trends shaping the industry include the rise of niche dating platforms catering to specific interests and demographics, and a greater emphasis on user safety and data privacy. Overcoming challenges related to fraudulent profiles and data security will be critical for sustained growth and user trust across all regions.

Key strategic insights from our comprehensive analysis reveal:

The Asia-Pacific region, with a remarkable 10% CAGR, represents the most significant growth opportunity. Success in this diverse region hinges on hyper-localized strategies that respect cultural nuances, particularly in high-growth markets like India (11.8% CAGR).
Technological innovation is paramount for maintaining a competitive edge. Integrating advanced features such as AI for personalized matching, video-based interactions, and robust verification systems is crucial for enhancing user engagement and safety.
Addressing user trust is a critical challenge. Manufacturers must prioritize transparent data privacy policies, robust security measures against scams and fake profiles, and effective content moderation to build and maintain a loyal user base.

Global Market Overview & Dynamics of Dating Apps Market Analysis

The global dating apps market is set for significant expansion, with a projected CAGR of 8% from 2021 to 2033. This growth is underpinned by the increasing global penetration of smartphones, greater social acceptance of online dating, and the demand for convenient social connections in an increasingly urbanized world. While established markets continue to generate substantial revenue, emerging economies, especially in the Asia-Pacific region, are becoming the primary engines of growth. The industry is characterized by intense competition, driving innovation in user experience, monetization models, and safety features to capture and retain users.

Global Dating Apps Market Drivers

Increasing Smartphone Penetration: The widespread availability of smartphones and high-speed internet access across the globe makes dating apps more accessible to a broader audience, particularly in emerging markets.
Shifting Social Norms: There is a growing cultural acceptance and reduced stigma associated with online dating, leading more individuals to use these platforms to find partners and social connections.
Busy Lifestyles and Urbanization: Hectic work schedules and modern lifestyles limit opportunities for traditional dating, making convenient and efficient mobile apps an attractive alternative for meeting new people.

Global Dating Apps Market Trends

Integration of AI and Machine Learning: Companies are increasingly leveraging AI to provide more compatible matches, personalize user experiences, and enhance safety by detecting fraudulent profiles and inappropriate behavior.
Rise of Niche and Specialized Apps: The market is seeing a surge in apps catering to specific demographics, interests, religions, or relationship goals (e.g., serious relationships vs. casual dating), moving beyond a one-size-fits-all approach.
Adoption of Video and Interactive Features: The integration of video calls, live streaming, and interactive games within apps is becoming popular to foster more authentic connections and increase user engagement.

Global Dating Apps Market Restraints

Data Privacy and Security Concerns: High-profile data breaches and the potential for misuse of personal information create user distrust and pose a significant challenge for app developers.
Market Saturation and User Fatigue: In developed regions, the market is crowded with numerous apps, leading to intense competition and swipe fatigue among users who may become disillusioned with the process.
Prevalence of Scams and Fake Profiles: The presence of bots, scammers, and fake profiles on dating platforms undermines user safety a...

According to a January 2022 analysis of the leading dating apps downloaded from the Apple App Store, the Badoo mobile app was indexed as collecting the largest number of data types from its users' activity. Bumble and HER ranked second, with an index value of close to **, respectively. Grindr had a reported index value of **, while market leader Tinder was indexed with a value of ****.

The online dating software market is experiencing robust growth, driven by increasing smartphone penetration, evolving social norms around online dating, and a desire for convenient and efficient matchmaking solutions. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several key factors, including the expansion of subscription-based models (annually, quarterly, monthly, and weekly options), diversification of dating app functionalities (matchmaking, social dating, and adult dating), and ongoing technological advancements that enhance user experience and security. The market's segmentation reflects the diverse needs and preferences of users, with subscription models catering to varying levels of commitment and application categories tailored to specific relationship goals. Competition is fierce, with established players like Match Group and Bumble alongside innovative startups constantly striving for market share. Geographic expansion, particularly in emerging markets with growing internet and smartphone penetration, presents substantial growth opportunities. The market's success is partly contingent on addressing certain restraints, including concerns about data privacy and security, the prevalence of fake profiles, and the challenges of fostering authentic connections in a digital environment. However, continuous innovation in areas such as AI-powered matchmaking algorithms, enhanced safety features, and improved user interface designs is mitigating these challenges and driving market expansion. Furthermore, the integration of social media features and gamification elements within dating apps are contributing to increased user engagement and prolonged usage. This positive momentum indicates a promising outlook for the online dating software market over the forecast period, with continued growth driven by technological advancements and evolving user preferences.

Discover the booming North American online dating market! This in-depth analysis reveals a CAGR of 5.60% and projects significant growth to 2033, driven by technological advancements and changing social dynamics. Explore market size, key players (Match Group, Bumble, eHarmony), and future trends in online dating. Key drivers for this market are: Continuous Innovation in Service Offerings, Growing Penetration of Smartphones and Mobile Devices. Potential restraints include: Security Concerns of Data Privacy. Notable trends are: Rapid innovation in service offerings is driving the market growth.

Discover the booming online dating market! Our analysis reveals a $10 billion industry projected to reach $30 billion by 2033, driven by AI matchmaking, niche apps, and evolving social norms. Learn about key players, growth trends, and regional insights.

The Dating Service industry is riding a tech-driven growth wave. Data from the Choosi Swipe Right Modern Dating Report 2023 shows that most active daters are meeting partners through dating apps and websites, followed by social media avenues, or through friends or colleagues. Online platforms and smartphones have become an integral part of daily life, with the convenience, accessibility, and variety of options driving demand for dating services across the Millennial and Gen Z markets. While the stigma surrounding online dating has largely faded, owing largely to mainstream acceptance, safety concerns have prompted the industry to adopt clearer codes of conduct and increased transparency. Revenue has been climbing at an annualised 4.4% over the past five years and is expected to total $316.4 million in 2025-26, when revenue will climb by an estimated 3.0%. The dating habits of Australian individuals have undergone considerable change. While pandemic lockdowns prompted people to turn to apps and digital dates via Zoom or FaceTime, higher living costs in the post-pandemic environment have made consumers more discerning about what they subscribe to and the types of dates they pursue. Instead of pricey dinners, many favour more affordable or intimate experiences like coffee, walks, markets or art trips. Baby Boomers are increasingly adopting dating apps, broadening the user base, while competition remains fierce between domestic providers and international giants, limiting profit growth. Live events, like Sunday Singles, have emerged as a popular complement to apps, highlighting a more diverse dating ecosystem. Going forwards, greater saturation across the dating services market will spur more diversification, like hybrid services that blend digital matching with curated online events, group activities and in-person introductions. Online dating will remain the norm, but platforms will differentiate through AI-driven matching, machine-learning insights and more immersive experiences like video chats or AR/VR. With free-access models still prevalent, monetisation is likely to hinge on value-added features and premium tiers, particularly for older users who demand stronger privacy controls and more comprehensive search filters. App fatigue may prompt people to return to real-world encounters, making live events and matchmaking experiences more appealing. Industry revenue is forecast to climb at an annualised 2.4% over the five years through 2031-32, to reach $356.4 million.

Don't forget to hit the upvote🙏🙂

This dataset contains simulated data from a DATING app. It is designed to explore user behaviors, preferences, and demographics trends.

Columns Description:

User ID: Unique identifier for each user.

Age: Age of the user (range: 18-35 years).

Gender: Gender of the user (Male/Female).

Height: User's height in feet.

Interests: A list of user interests (Sports, Reading, Movies).

Looking For: The type of relationship the user is seeking (Casual Dating, Marriage).

Children: Whether the user has children (Yes/No).

Education Level: User's highest education qualification (High School, Ph.D.).

Occupation: Current occupation of the user (Doctor, Engineer, Artist).

Swiping History: Total number of swipes by the user.

Frequency of Usage: How often the user uses the app (Daily, Weekly, Monthly).

The dating service sector is undergoing a dynamic transformation as digital technology reshapes consumer behavior and preferences. With the advent of mobile and online platforms, many relationship-seekers now opt for the convenience of digital interactions over traditional methods. This shift has led to a booming demand for mobile dating apps, which dominate user engagement because of their real-time and accessible nature. Leaders prioritize investments in digital innovations to secure market share and optimize revenue. The industry revenue has grown at a CAGR of 11.8% to $4.4 billion over the past five years, with a 0.0% rise in 2024 alone. Over the past five years, the industry has witnessed robust profitability driven by integrating innovative technologies and strategic pricing models. Companies have embraced mobile apps extensively, aligning with consumer expectations for seamless digital experiences. Subscription models have emerged as a key driver of financial growth, providing a steady revenue stream instead of one-time transactions. This evolution demands strategic planning for long-term user retention. While hosting, technology and skilled workforce expenses have risen, the emphasis on quality user experience justifies the investment. The sector is poised for further expansion over the next five years, fueled by technological advancements and increasing mobile internet accessibility. As digital interactions become more sophisticated, users will likely benefit from safer and more efficient matchmaking processes. Established companies are expected to acquire startups, incorporating cutting-edge features to stay competitive and cater to evolving user demands. Additionally, opportunities lie in targeting niche market segments and offering tailored services that resonate with specific demographics. However, as regulatory scrutiny intensifies, firms prioritizing data security and transparency will likely gain the upper hand in building user trust and loyalty. Emphasizing seamless and personalized experiences will remain critical for sustaining growth in a competitive landscape. Overall, industry revenue will stagnate at $4.4 billion through 2029, with 0.0% growth in CAGR.

Data:

The Dataset provides a comprehensive view into the dynamics of online matchmaking interactions. It captures essential variables that influence the likelihood of successful matches across different genders. This dataset allows researchers and analysts to explore how factors such as VIP subscription status, income levels, parental status, age, and self-perceived attractiveness contribute to the outcomes of online dating endeavors.

Variables:

• Gender: 0 (Male), 1 (Female)
• PurchasedVIP: 0 (No), 1 (Yes)
• Income: Annual income in USD
• Children: Number of children
• Age: Age of the user
• Attractiveness: Subjective rating of attractiveness (1-10)
• Matches: Number of matches obtained based on criteria

Target Variable:

• Matches: Number of matches received, indicative of success rate in online dating

Usage:

• Analyze gender-specific dating preferences and behaviors.
• Predict match success.

Explanation of Zero Matches for Some Users:

The occurrence of zero matches for certain users within the dataset can be attributed to the presence of "ghost users." These are users who create an account but subsequently abandon the app without engaging further. Consequently, their profiles do not participate in any matching activities, leading to a recorded match count of zero. This phenomenon should be taken into account when analyzing user activity and match data, as it impacts the overall interpretation of user engagement and match success rates.

Disclaimer:

This dataset contains 1000 records, which is considered relatively low within this category of datasets. Additionally, the dataset may not accurately reflect reality as it was captured intermittently over different periods of time.

Furthermore, certain match categories are missing due to confidentiality constraints, and several other crucial variables are also absent for the same reason. Consequently, the machine learning models employed may not achieve high accuracy in predicting the number of matches.

It is important to acknowledge these limitations when interpreting the results derived from this dataset. Careful consideration of these factors is advised when drawing conclusions or making decisions based on the findings of any analyses conducted using this data.

Warning:

Due to confidentiality constraints, only a small amount of data was collected. Additionally, only users with variables showing high correlation with the matching variable were included in the dataset.

As a result, the high performance of machine learning models on this dataset is primarily due to the data collection method (i.e., only high-correlation data was included).

Therefore, the findings you may derive from manipulating this dataset are not representative of the real dating world.

Data Source:

The source of this dataset is confidential, and it may be released in the future. For the present, this dataset can be utilized under the terms of the license visible on the dataset's card.

Users are advised to review and adhere to the terms specified in the dataset's license when using the data for any purpose.

Conclusion:

This dataset provides insights into the dynamics of online dating interactions, allowing for predictive modeling and analysis of factors influencing matchmaking success.

Dataset Usage and Attribution Notice

This dataset, shared by Rabie El Kharoua, is original and has never been shared before. It is made available under the CC BY 4.0 license, allowing anyone to use the dataset in any form as long as proper citation is given to the author. A DOI is provided for proper referencing. Please note that duplication of this work within Kaggle is not permitted.

Exclusive Synthetic Dataset

This dataset is synthetic and was generated for educational purposes, making it ideal for data science and machine learning projects. It is an original dataset, owned by Mr. Rabie El Kharoua, and has not been previously shared. You are free to use it under the license outlined on the data card. The dataset is offered without any guarantees. Details about the data provider will be shared soon.

The online dating service market is experiencing robust growth, driven by increasing smartphone penetration, evolving social norms around dating, and the desire for convenient and efficient ways to connect with potential partners. The market, estimated at $8 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $25 billion by 2033. This substantial growth is fueled by several key trends, including the rise of niche dating apps catering to specific interests or demographics (e.g., LGBTQ+, religious groups), the integration of advanced matching algorithms and AI-powered features for improved user experience, and the increasing acceptance of online dating as a legitimate and effective way to form relationships. The market's expansion is further enhanced by improved user safety measures implemented by many platforms in response to growing concerns about online safety and privacy. However, challenges remain. Competition is fierce, with established players like Match Group and Bumble facing increasing competition from smaller, niche players. Concerns about data privacy and security continue to be a major restraint. Furthermore, maintaining user engagement and combating the prevalence of fake profiles remain ongoing hurdles. Despite these challenges, the overall outlook for the online dating services market is exceptionally positive, with ongoing innovation and expanding user base promising substantial future growth. The diverse range of services offered, from casual dating to long-term relationship-focused platforms, reflects a maturing and increasingly segmented market catering to a wider spectrum of user needs and preferences.

The size of the Gay Dating App market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

The rise of online dating apps has transformed how Gen Z in India explores relationships, social interactions, and casual dating. This analysis investigates dating app usage patterns, preferences, and challenges faced by individuals aged 18-25 across major Indian cities.

: ✅ Most popular dating apps ✅ Frequency & reasons for usage ✅ User satisfaction levels ✅ Challenges like safety concerns & time-wasting ✅ Preferences for features & communication methods

The study employs data visualization, statistical insights, and correlation analysis to understand the evolving landscape of online dating in India. 🚀\

User_ID: Unique identifier for each participant.

Age: Age of the user (18-25 range).

Gender: Gender identity (Male, Female, Non-binary, etc.).

Location: City of residence (e.g., Delhi, Mumbai).

Education: Education level (Undergraduate, Graduate, Postgraduate).

Occupation: Occupation type (e.g., Student, Freelancer, Intern).

Primary_App: The main dating app used by the user (e.g., Tinder, Bumble, Hinge).

Secondary_Apps: Other dating apps used, if any.

Usage_Frequency: How often they use dating apps (Daily, Weekly, Monthly).

Daily_Usage_Time: Time spent daily on dating apps (e.g., 1 hour, 2 hours).

Reason_for_Using: Purpose for using the apps (e.g., Casual Dating, Finding a Partner).

Satisfaction: Satisfaction level with the primary app (e.g., 1 to 5 scale).

Challenges: Challenges faced during usage (e.g., Safety Concerns, Lack of Matches).

Desired_Features: Features users want in dating apps (e.g., Video Calls, Compatibility Insights).

Preferred_Communication: Communication preferences (e.g., Text, Voice Notes, Video Calls).

Partner_Priorities: Attributes prioritized in a partner (e.g., Personality > Interests > Appearance).

The global marriage and dating app market, currently valued at $775 million in 2025, is projected to experience robust growth, driven by increasing smartphone penetration, evolving social norms around relationships, and the convenience offered by digital platforms. The market's Compound Annual Growth Rate (CAGR) of 11.7% from 2019 to 2024 suggests a strong trajectory that is likely to continue over the forecast period (2025-2033). Key drivers include the rising popularity of online dating among younger generations, the integration of advanced features like AI-powered matching algorithms and video calling, and a growing acceptance of online relationship formation across demographics. While data privacy concerns and the potential for scams represent some restraints, the market's inherent resilience and the continuous innovation within the sector suggest these challenges will be mitigated through improved security measures and user education. The market is segmented by app type (niche dating apps, general dating apps, marriage-focused apps), user demographics (age, gender, location), and revenue models (subscription-based, freemium, advertising). Leading players like Tinder, Bumble, and Match Group are constantly expanding their features and acquiring smaller competitors to maintain their market share in a competitive landscape. The increasing use of location-based services and social media integration further fuels market growth by expanding user reach and engagement. The forecast period (2025-2033) anticipates sustained growth, driven by ongoing technological advancements, strategic partnerships, and aggressive marketing strategies employed by major players. International expansion into emerging markets with high internet and smartphone penetration represents a significant opportunity for growth. Furthermore, the increasing integration of augmented and virtual reality technologies into dating apps offers potential for enhanced user experience and engagement. The market's segmentation will likely become more nuanced, with specialized apps catering to specific niches and preferences, including those focused on long-term relationships and marriage. Competition will remain fierce, requiring companies to continuously innovate and adapt to changing user expectations to secure and maintain a competitive edge.