Online Dating - Central Africa

  • Central Africa
  • Revenue in the Online Dating market is projected to reach US$15.49m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 11.60%, resulting in a projected market volume of US$26.81m by 2029.
  • In the Online Dating market, the number of users is expected to amount to 5.1m users by 2029.
  • User penetration will be 3.7% in 2024 and is expected to hit 4.6% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$4.35.
  • In global comparison, most revenue will be generated in the United States (US$1,392.00m in 2024).
  • With a projected rate of 17.7%, the user penetration in the Online Dating market is highest in the United States.
 
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Analyst Opinion

The Matchmaking market in Central Africa is experiencing significant growth due to changing customer preferences and the influence of local special circumstances. Customer preferences in the Matchmaking market have shifted towards online platforms and mobile applications, as individuals seek convenient and efficient ways to find potential partners. This trend is driven by the increasing use of smartphones and internet connectivity in the region, which has made online matchmaking more accessible to a larger population. Additionally, the younger generation in Central Africa is more open to the idea of using technology to find love, further fueling the demand for online matchmaking services. Trends in the market indicate a rise in niche matchmaking platforms catering to specific demographics or interests. This allows individuals to find partners who share similar values, beliefs, or hobbies, increasing the chances of a successful match. Niche platforms also provide a more personalized and tailored matchmaking experience, which appeals to customers seeking a more specialized approach to finding love. Local special circumstances, such as cultural norms and traditions, also play a significant role in the development of the Matchmaking market in Central Africa. In many countries in the region, arranged marriages are still prevalent, and matchmaking services are seen as a way to ensure compatibility and harmony within families. However, there is a growing acceptance of alternative forms of matchmaking, such as online platforms, especially among the younger generation who are more influenced by Western culture. Underlying macroeconomic factors, such as population growth and urbanization, also contribute to the growth of the Matchmaking market in Central Africa. As the population in the region continues to increase, there is a greater demand for matchmaking services to help individuals navigate the complexities of finding a partner in a crowded and fast-paced environment. Urbanization also plays a role, as more people move to cities in search of better opportunities, leading to a larger pool of potential matches and a greater need for matchmaking services. In conclusion, the Matchmaking market in Central Africa is experiencing growth due to changing customer preferences towards online platforms and niche matchmaking services. Local special circumstances, such as cultural norms and traditions, also influence the development of the market. Additionally, underlying macroeconomic factors, such as population growth and urbanization, contribute to the increasing demand for matchmaking services in the region.

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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