Matchmaking - Northern Africa

  • Northern Africa
  • Revenue in the Matchmaking market is projected to reach US$16.81m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 12.41%, resulting in a projected market volume of US$26.84m by 2028.
  • In the Matchmaking market, the number of users is expected to amount to 1,073.0k users by 2028.
  • User penetration will be 0.4% in 2024 and is expected to hit 0.4% by 2028.
  • The average revenue per user (ARPU) is expected to amount to US$16.89.
  • 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.

Key regions: India, South Korea, China, Asia, United States

 
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Analyst Opinion

The Matchmaking market in Northern Africa is experiencing significant growth and development due to changing customer preferences and local special circumstances. Customer preferences in the region have shifted towards online matchmaking platforms as a convenient and efficient way to find potential partners. This trend is driven by the increasing use of smartphones and internet access, which have made online dating more accessible to a larger population. Furthermore, the younger generation in Northern Africa is becoming more open to the idea of using technology to meet new people and find love. This has led to a surge in the popularity of online matchmaking platforms, which offer a wide range of features and options to cater to different preferences and interests. In addition to customer preferences, there are also local special circumstances that are contributing to the growth of the Matchmaking market in Northern Africa. One such circumstance is the cultural and social norms in the region, which place a strong emphasis on marriage and family. In many Northern African countries, marriage is considered a significant milestone in one's life, and there is often societal pressure to get married at a certain age. This has created a demand for matchmaking services that can help individuals find suitable partners and facilitate the process of marriage. Furthermore, the Matchmaking market in Northern Africa is also influenced by underlying macroeconomic factors. Economic development and urbanization have led to changes in lifestyle and social dynamics, with more people moving to cities and pursuing higher education and career opportunities. As a result, individuals in Northern Africa are often busy with their professional lives and may not have the time or opportunity to meet potential partners through traditional means. This has created a need for matchmaking services that can help connect busy professionals and facilitate meaningful connections. Overall, the Matchmaking market in Northern Africa is experiencing growth and development due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. Online matchmaking platforms are becoming increasingly popular as a convenient way to find potential partners, and cultural and social norms in the region place a strong emphasis on marriage and family. Additionally, economic development and urbanization have created a demand for matchmaking services that cater to busy professionals. As the market continues to evolve, it is likely that we will see further innovations and advancements in the Matchmaking industry in Northern Africa.

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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