Market Insights eCommerce Dating Services

Matchmaking - Ethiopia

Ethiopia

Revenue in the Matchmaking market is projected to reach US$2.17m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 5.38%, resulting in a projected market volume of US$2.82m by 2029.
In the Matchmaking market, the number of users is expected to amount to 377.2k 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$6.34.
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.

Market

Region

Region comparison

Currency

Analyst Opinion

Casual dating is becoming increasingly popular in Ethiopia, as more and more people are looking for casual relationships and companionship.

Customer preferences: In Ethiopia, there is a growing demand for casual dating due to changing societal norms and increased urbanization. Young adults are seeking more freedom and independence in their personal lives, and casual dating provides them with an opportunity to explore different relationships without the commitment of a traditional partnership. Additionally, the rise of social media and dating apps has made it easier for individuals to connect with potential partners and arrange casual dates.

Trends in the market: The casual dating market in Ethiopia is experiencing significant growth, with a rising number of people participating in casual dating activities. This trend can be attributed to several factors. Firstly, the increasing number of young adults in the country has created a larger pool of potential daters. Secondly, the influence of Western culture and media has led to a shift in attitudes towards dating, with casual relationships becoming more socially acceptable. Lastly, the convenience and accessibility of online dating platforms have made it easier for individuals to find and connect with like-minded people.

Local special circumstances: Ethiopia has a unique cultural landscape that influences the casual dating market. While traditional values and conservative attitudes towards relationships still exist, there is a growing acceptance of casual dating among the younger generation. However, it is important to note that casual dating is still considered taboo in some rural areas and among older generations. As a result, the casual dating market in Ethiopia is primarily concentrated in urban areas where attitudes towards dating are more liberal.

Underlying macroeconomic factors: The growing casual dating market in Ethiopia can also be attributed to underlying macroeconomic factors. The country has experienced economic growth in recent years, resulting in a rising middle class with increased disposable income. This has allowed individuals to spend more on leisure activities, including casual dating. Additionally, the expansion of internet access and smartphone penetration has made online dating platforms more accessible to a larger population, further fueling the growth of the casual dating market. In conclusion, the casual dating market in Ethiopia is experiencing significant growth due to changing societal norms, increased urbanization, and the influence of Western culture. The convenience and accessibility of online dating platforms, coupled with the country's economic growth and rising middle class, have contributed to the increasing popularity of casual dating. However, it is important to consider the local cultural landscape and the varying attitudes towards dating in different regions of the country.

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.