Matchmaking - Central Asia

  • Central Asia
  • Revenue in the Matchmaking market is projected to reach US$8.30m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 6.02%, resulting in a projected market volume of US$11.12m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 288.1k users by 2029.
  • User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$29.99.
  • In global comparison, most revenue will be generated in China (US$1,211.00m in 2024).
  • With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.
 
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Analyst Opinion

The Casual Dating market in Central Asia has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this development. Customer preferences in Central Asia have shifted towards more casual and non-committal relationships. This can be attributed to changing societal norms and the influence of Western culture. Young adults in particular are seeking more freedom and flexibility in their romantic lives, and casual dating provides an avenue for this. Additionally, the rise of digital platforms and social media has made it easier for people to connect and engage in casual relationships. Trends in the Casual Dating market in Central Asia reflect the increasing demand for casual relationships. Online dating platforms have become popular among young adults, offering a convenient and discreet way to meet potential partners. These platforms often utilize algorithms and matching systems to connect individuals based on their preferences and interests. Furthermore, there has been a rise in the number of casual dating events and parties, providing opportunities for people to meet and interact in person. Local special circumstances also contribute to the growth of the Casual Dating market in Central Asia. In some countries, traditional norms and cultural practices may discourage or restrict dating and relationships. Casual dating offers a more acceptable and accessible alternative for individuals who may not be ready for marriage or long-term commitments. Additionally, the relatively young population in Central Asia, with a high proportion of millennials, contributes to the demand for casual dating options. Underlying macroeconomic factors play a role in the development of the Casual Dating market in Central Asia. Economic growth and increasing urbanization have led to changes in lifestyles and social dynamics. As people become more independent and financially stable, they have more freedom to explore their personal relationships. Moreover, globalization and the influence of Western culture have shaped attitudes towards dating and relationships, leading to a greater acceptance of casual dating. In conclusion, the Casual Dating market in Central Asia is developing due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, the rise of online dating platforms, and the influence of Western culture all contribute to the growth of this market. As Central Asia continues to evolve and modernize, the Casual Dating market is likely 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
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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