Market Insights eCommerce Dating Services

Casual Dating

India

Revenue in the Casual Dating market is projected to reach €32.51m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -0.86%, resulting in a projected market volume of €31.14m by 2029.
In the Casual Dating market, the number of users is expected to amount to 103.0m users by 2029.
User penetration will be 4.2% in 2024 and is expected to hit 6.8% by 2029.
The average revenue per user (ARPU) is expected to amount to €0.54.
In global comparison, most revenue will be generated in the United States (€272.40m in 2024).
With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest in Armenia.

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Online Dating market in India has been experiencing significant growth in recent years.

Customer preferences: Indian consumers have shown a growing interest in online dating platforms due to various reasons. Firstly, the increasing internet penetration and smartphone usage in the country have made it easier for people to access these platforms. Additionally, the changing social dynamics and increased urbanization have led to a shift in traditional dating practices, with more people looking for relationships online.

Trends in the market: One of the key trends in the Indian online dating market is the rise of niche dating platforms catering to specific communities or interests. These platforms provide a more tailored experience for users and allow them to connect with like-minded individuals. Another trend is the integration of artificial intelligence and machine learning algorithms in dating platforms, which help in better matching and personalized recommendations. Furthermore, the introduction of video-based dating features has gained popularity, as it allows users to have virtual dates and get to know each other better before meeting in person.

Local special circumstances: India is a culturally diverse country with a rich tradition of arranged marriages. However, there has been a shift in societal norms, especially among the younger generation, who are increasingly open to the idea of dating and choosing their own partners. This changing mindset has contributed to the growth of the online dating market in India. Additionally, the country has a large population of young adults who are tech-savvy and actively using social media, making it a lucrative market for online dating platforms.

Underlying macroeconomic factors: The Indian economy has been growing steadily, which has resulted in an increase in disposable income and spending power among the middle class. This has led to a higher willingness to spend on dating services and subscriptions. Furthermore, the COVID-19 pandemic has accelerated the adoption of online dating platforms, as people have been unable to meet in person and have turned to virtual dating as an alternative. This has further boosted the growth of the online dating market in India. In conclusion, the online dating market in India is experiencing significant growth due to changing customer preferences, the rise of niche dating platforms, and the integration of advanced technologies. The local special circumstances, such as the shift in societal norms and a large population of tech-savvy young adults, have also contributed to this growth. Additionally, the underlying macroeconomic factors, such as the growing economy and the impact of the COVID-19 pandemic, have further fueled the development of the online dating market in India.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.