Market Insights eCommerce Dating Services

Online Dating - Eastern Africa

Eastern Africa

Revenue in the Online Dating market is projected to reach US$40.05m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 13.73%, resulting in a projected market volume of US$76.19m by 2029.
In the Online Dating market, the number of users is expected to amount to 20.3m users by 2029.
User penetration will be 2.9% in 2024 and is expected to hit 3.9% by 2029.
The average revenue per user (ARPU) is expected to amount to US$3.00.
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 Eastern Africa is experiencing significant growth and development.

Customer preferences: Customers in Eastern Africa are increasingly turning to matchmaking services to find romantic partners. This preference can be attributed to several factors. Firstly, the region has a large population of young people who are tech-savvy and open to new ways of meeting potential partners. Secondly, traditional methods of finding a partner, such as arranged marriages or introductions through family and friends, are becoming less common as individuals seek greater autonomy in their choice of a life partner.

Trends in the market: One of the key trends in the matchmaking market in Eastern Africa is the rise of online platforms and mobile applications. These platforms provide a convenient and efficient way for individuals to connect with potential partners, regardless of their location. In addition, the use of artificial intelligence and algorithms to match individuals based on compatibility factors is gaining popularity. This trend is driven by the desire for personalized and efficient matchmaking services.

Local special circumstances: Eastern Africa is a diverse region with a rich cultural heritage. This diversity is reflected in the matchmaking market, with specialized platforms catering to specific ethnic or religious communities. These platforms understand the unique preferences and values of their target audience, and provide tailored matchmaking services to meet their needs. Additionally, the region has a high rate of urbanization, with many young people moving to cities for education and employment opportunities. This has led to an increased demand for matchmaking services that cater to the specific needs of urban dwellers.

Underlying macroeconomic factors: Several macroeconomic factors are driving the growth of the matchmaking market in Eastern Africa. Firstly, the region has experienced rapid economic growth in recent years, leading to an expansion of the middle class. This has increased disposable income and spending power, allowing individuals to invest in matchmaking services. Secondly, the high rate of internet penetration and smartphone adoption in the region has made online matchmaking platforms more accessible to a larger audience. Finally, changing social norms and attitudes towards dating and relationships have created a favorable environment for the growth of the matchmaking market. In conclusion, the matchmaking market in Eastern Africa is experiencing growth and development due to changing customer preferences, the rise of online platforms, local special circumstances, and underlying macroeconomic factors. As the region continues to evolve, the matchmaking market is expected to expand further and provide innovative solutions to meet the needs of its diverse population.

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.