According to a survey of adults in the U.S. using online dating services, 59 percent of women and 50 percent of men have used dating apps and websites to find an exclusive romantic partner. According to the findings, more women than men have used these services to make non-romantic connections or to find someone for a friend. The share of men engaging with dating websites and apps to find non-exclusive romantic partners was 24 percent, against the 15 percent of female responders.

According to an online survey conducted in 2022 in the United States, roughly ** percent of women and ** percent of men reported having ever used online dating sites or apps. Additionally, ***** percent of men and ***** percent of women reported currently using such platforms.

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 Online Dating Services Market is estimated to be valued at USD 7.64 Billion in 2022 and is expected to reach USD 14.30 Billion by 2030, registering a CAGR of 8% in the forecast period. Factors Affecting Online Dating Services Market Growth

The increasing usage of internet Services is propelling the Global Online Dating Services Market.

The rising usage of Internet services is propelling the accessibility of numerous online services for dating increasing the growth of the online dating services market globally. For instance, according to the data of NCBI the daily dating app notifications received are the highest average of 58.62.

Additionally, the increasing count of meetings, dating, texting, and marriages are fuelling the number of applications, software, and websites for online dating propelling the substantial growth of the online dating market. The increasing rate of dating and marriages outside social circles is contributing to the growth of Online Dating Services in the upcoming years. Social trends and increased dating and marriage outside traditional social circles growing the rates of interracial marriage, attributing the growth of the Online Dating Services Market during the forecast period.

Increasing dating apps services

The substantial increase in demand for dating apps and portals like Bumble, Tinder, Grindr, and many others is expected to boost the online dating service market in the forecast period. For instance, Tinder had 10.7 million subscribers in the first quarter of 2023. Additionally, the COVID-19 outbreak has increased the number of users on online dating apps due to the government restrictions the cafes, malls, and other social gathering places was locked fuelled the online dating app service market. Thus, the rising number of dating service users is contributing to the growth of the online dating service market.

The Restraining Factor of Online Dating Services:

Online vulnerable frauds are hampering the Global Online Dating Services Market.

The number of online frauds or scams is hindering the growth of the online dating service market. Issues faced by the users such as violent crimes, pornographic material, financial fraud, and many other ways where users’ privacy is harmed are preventing the online dating service market to grow. Concerned with women’s safety many of them feel dangerous and unsafe in using dating apps which is hindering the growth of the market. For instance, according to the report of the Federal Trade Commission in 2022, 70,000 people reported a romance scam, and reported losses hit a staggering $1.3 billion.

What is the impact of COVID-19 on the Global Online Dating Services Market?

The COVID-19 pandemic has positively affected the online dating market. The overall income of online dating platforms and apps increased significantly in the online dating market as a result of the rising trend of online dating applications due to COVID-19 lockdown restrictions. Additionally, with lockdowns imposed all over the world considering the pandemic, most people prefer online dating apps and services as social gatherings and meetings were prohibited, which propelled the online dating market during the pandemic. Introduction of Online Dating Services

Online dating is a platform also known as internet dating, where people interact with opposite and same-gender people to build personal relationships. Online dating platform provides voice calling, messaging, and video calling, to initiate communication among users. Online dating services play a major role in today’s social trend as it is used to build connections among people who have the same interests. The online dating platform needs users to portray themselves through their profiles or make the users contact the opposite potential match directly, or use exclusive algorithms to connect them with proper partners. The increasing use of online websites in enhancing online dating services market growth.

According to a 2024 survey conducted in the United States, 56 percent of respondents stated that meeting someone in person who they met on online dating platforms would be somewhat safe. Overall, men were more likely than women to say that meeting someone in person who they had met online was safe or somewhat safe.

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.

As of July 2022, ** percent of lesbian, gay, or bisexual people in the United States had ever used online dating apps or sites. Overall, ** percent of straight people reported ever using online dating services. In addition, **** percent of straight respondents and ** percent of LGB respondents stated currently using dating sites or apps.

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.

Use of dating apps has increased significantly in recent years in Denmark. As of 2020, ** percent of men and ten percent of women had used dating apps, compared to eight percent of male survey respondents back in 2011 and six percent of female respondents.

The online dating services market size is projected to grow from USD 8.80 billion in the current year to USD 30.08 billion by 2035, representing a CAGR of 11.82%, during the forecast period till 2035.

As of March 2025, 37 percent of the online dating audience in the United States belonged to Generation Z, and 40 percent were millennials. Overall, one in five users were of Gen X, and around one in 20 users were Baby boomers.

The number of users in the 'Online Dating' segment of the eservices market in the United States was forecast to continuously increase between 2024 and 2028 by in total *** million users (+**** percent). After the ninth consecutive increasing year, the indicator is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of users of the 'Online Dating' segment of the eservices market was continuously increasing over the past years.Find further information concerning revenue in the United States and revenue growth in Indonesia. The Statista Market Insights cover a broad range of additional markets.

According to a 2022 online survey, five percent of adults in the United States were currently using online dating apps or sites. Overall, a further five percent reported they were not currently using online dating services, but had done so in the past year. Furthermore, 21 percent of U.S. adults said they had used online dating platforms more than a year ago.

Context

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Faae2098c58edc6b6b40d667b50d1ed5b%2Ftinder2.png?generation=1700269992471011&alt=media" alt="">

Based on their wikipedia page

Tinder is an online dating and geosocial networking application launched in 2012. On Tinder, users "swipe right" to like or "swipe left" to dislike other users' profiles, which include their photos, a short bio, and some of their interests. Tinder uses a "double opt-in" system, where both users must like each other before they can exchange messages.

These reviews were extracted its Google Store page.

Usage

This dataset should paint a good picture on what is the public's perception of the app over the years. Using this dataset, we can do the following

1. Extract sentiments and trends
2. Identify which version of the app had the most positive feedback, the worst.
3. Use topic modeling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

This statistic presents the percentage of adults in the United States who have used online dating sites or apps as of October 2019, sorted by age group. During the survey it was found that 48 percent of adults aged 18 to 29 years had ever used online dating platforms.

As of July 2022, roughly 34 percent of men in the United States stated having ever used online dating sites or apps. The same survey revealed that fewer women were using or had used dating sites or apps. Overall, three in ten U.S. adults had ever used or was currently using an online dating service.

According to a survey of United States adults who have used online dating services, finding an exclusive romantic partner was the leading reason for joining a dating website or app for more than five in ten respondents. Users reporting they joined to have something fun or interesting to do were 34 percent, while 23 percent joined out of curiosity to see what the app was like. To find someone for one's friend and to boost one's self-esteem were among the least popular reasons to use a dating app or website, with 18 percent of respondents picking each option.

This statistic presents the reasons why users in the United States use online dating sites or apps. During the April 2017 survey, 61 percent of responding current or former dating website or app users said they used dating websites and apps to meet people who share their interests or hobbies.

According to a July 2022 survey on online dating in the United States, more often than men, women stated that they used such services to meet a long-term partner or spouse. Additionally, 43 percent of men and 37 percent of women reported that finding a partner to date casually was a major reason for them to use online dating platforms.