Dating Services - Southern Asia

  • Southern Asia
  • Revenue in the Dating Services market is projected to reach US$482.00m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 3.02%, resulting in a projected market volume of US$543.00m by 2028.
  • The Matchmaking market has a projected market volume of US$321.70m in 2024.
  • In global comparison, most revenue will be generated in the United States (US$2,547.00m in 2024).
  • The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$4.56 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 145.3m users by 2028.
  • User penetration in the Dating Services market will be at 5.6% in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

 
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Analyst Opinion

The Dating Services market in Southern Asia is experiencing significant growth due to changing customer preferences and local special circumstances. Customer preferences in the dating services market have shifted towards online platforms and mobile applications. This trend can be attributed to the increasing use of smartphones and the convenience of accessing dating services on-the-go. Additionally, the younger generation in Southern Asia is more open to using technology for dating purposes, which has further fueled the demand for online dating services. Trends in the market indicate a growing acceptance of online dating in Southern Asia. Traditionally, dating has been seen as a taboo topic in many countries in the region. However, as societal norms evolve and globalization influences cultural attitudes, more individuals are embracing the idea of finding love and companionship through online platforms. This trend is expected to continue as online dating becomes more mainstream and socially accepted. Local special circumstances also contribute to the development of the dating services market in Southern Asia. For instance, in countries with large populations like India and Indonesia, there is a growing demand for dating services due to the sheer number of potential users. Additionally, the high rate of urbanization in the region has led to increased social isolation and a lack of traditional avenues for meeting potential partners, making online dating an attractive option. Underlying macroeconomic factors also play a role in the growth of the dating services market in Southern Asia. Rising disposable incomes and increasing internet penetration rates have made online dating more accessible to a larger segment of the population. As more people gain access to the internet and smartphones, the potential customer base for dating services expands, driving market growth. In conclusion, the Dating Services market in Southern Asia is experiencing growth due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, increasing acceptance of online dating, large populations, urbanization, rising disposable incomes, and increasing internet penetration rates are all contributing to the development of the market in the region. As these trends continue, the dating services market in Southern Asia is expected to expand further in the coming years.

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.

Overview

  • Revenue
  • Market Shares
  • Analyst Opinion
  • Users
  • Global Comparison
  • Key Players
  • Methodology
  • Key Market Indicators
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