Dating Services - Mongolia

  • Mongolia
  • Revenue in the Dating Services market is projected to reach US$456.40k in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.07%, resulting in a projected market volume of US$495.40k by 2028.
  • The Online Dating market has a projected market volume of US$283.70k 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$2.40 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 243.6k users by 2028.
  • User penetration in the Dating Services market will be at 5.5% in 2024.

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

 
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Analyst Opinion

The Dating Services market in Mongolia is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances.

Customer preferences:
In Mongolia, there is a growing preference for online dating services among the younger population. This is driven by the increasing use of smartphones and internet access, which has made it easier for individuals to connect with potential partners online. The convenience and anonymity offered by online dating platforms appeal to many Mongolian singles who are looking for love or companionship. Additionally, the younger generation is more open to the idea of meeting new people through digital platforms, as it provides them with a wider pool of potential partners.

Trends in the market:
One of the key trends in the Dating Services market in Mongolia is the rise of niche dating platforms. These platforms cater to specific interests or communities, such as religious groups, LGBTQ+ individuals, or people with specific hobbies or professions. By targeting specific niches, these platforms are able to provide a more tailored and personalized dating experience, which attracts users who are looking for like-minded partners. This trend reflects the growing demand for specialized dating services in Mongolia, as individuals seek out more meaningful connections. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies in dating platforms. These technologies are being used to analyze user data and preferences, and provide more accurate matches and recommendations. By leveraging AI and ML, dating platforms can offer a more efficient and effective matchmaking process, which enhances the overall user experience. This trend is driven by the increasing availability of data and advancements in technology, which allow for more sophisticated algorithms and predictive models.

Local special circumstances:
Mongolia's unique cultural and social dynamics also play a role in shaping the Dating Services market. Traditional gender roles and societal expectations can make it challenging for individuals to meet potential partners through traditional means. In such a context, dating services provide an alternative avenue for people to connect and form relationships. Additionally, Mongolia's relatively small population and vast geographical distances can make it difficult for individuals to meet new people, especially in rural areas. Dating services, particularly online platforms, bridge this gap by connecting individuals across different regions.

Underlying macroeconomic factors:
The growing Dating Services market in Mongolia is also influenced by underlying macroeconomic factors. Mongolia has experienced rapid economic growth and urbanization in recent years, leading to changes in lifestyle and social dynamics. As more Mongolians move to urban areas and adopt modern lifestyles, the demand for dating services increases. Additionally, rising disposable incomes and changing societal attitudes towards relationships and marriage contribute to the growth of the market. These macroeconomic factors create a favorable environment for the development of the Dating Services market in Mongolia.

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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