Matchmaking - Southern Africa

  • Southern Africa
  • Revenue in the Matchmaking market is projected to reach US$9.66m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -0.74%, resulting in a projected market volume of US$9.31m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 638.5k users by 2029.
  • User penetration will be 0.8% in 2024 and is expected to hit 0.9% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$18.28.
  • 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 Southern Africa is experiencing significant growth and development due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in Southern Africa are shifting towards more casual and non-committal relationships. This is driven by a desire for freedom and independence, as well as a growing acceptance of casual dating as a legitimate way to meet new people and explore different experiences. Additionally, the younger generation in Southern Africa is becoming more open-minded and progressive in their attitudes towards relationships, leading to a greater demand for casual dating services. Trends in the market are also contributing to the growth of the Casual Dating industry in Southern Africa. The widespread use of smartphones and the increasing availability of high-speed internet access have made it easier for people to connect with others and engage in casual dating. Online dating platforms and mobile applications have become popular tools for individuals to find potential partners, further fueling the growth of the Casual Dating market. Local special circumstances in Southern Africa, such as a high rate of urbanization and a large young population, are also driving the expansion of the Casual Dating market. As more people move to urban areas in search of better opportunities, they are exposed to a wider range of social activities and have more opportunities to meet new people. Additionally, the high proportion of young people in the region creates a large pool of potential users for Casual Dating services. Underlying macroeconomic factors also play a role in the development of the Casual Dating market in Southern Africa. Economic growth and rising disposable incomes have led to an increase in leisure spending, including on dating and social activities. As people have more money to spend on entertainment and experiences, they are more likely to engage in casual dating and explore different relationships. In conclusion, the Casual Dating market in Southern Africa is experiencing rapid growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. As the region continues to evolve and embrace new social norms, the Casual Dating industry is expected to continue its upward trajectory.

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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