Matchmaking - Sudan

Sudan

Highlights

Revenue in the Matchmaking market is projected to reach US$70.96k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 146.60%, resulting in a projected market volume of US$6.47m by 2029.
In the Matchmaking market, the number of users is expected to amount to 126.8k users by 2029.
User penetration will be 0.3% in 2024 and is expected to hit 0.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$0.57.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Sudan is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this positive trajectory. Customer preferences in Sudan are shifting towards more casual and non-committal relationships. This can be attributed to changing societal norms and an increasing emphasis on personal freedom and individualism. As young adults in Sudan become more financially independent and empowered, they are seeking relationships that offer flexibility and minimal commitment. The rise of social media and dating apps has also made it easier for individuals to explore casual dating options and connect with like-minded individuals. Trends in the market reflect this shift in customer preferences. There has been a noticeable increase in the number of casual dating platforms and apps available in Sudan. These platforms cater specifically to individuals looking for casual relationships, providing a convenient and discreet way to meet potential partners. The popularity of these apps is further fueled by the growing smartphone penetration in the country, making them easily accessible to a wide range of users. Local special circumstances also contribute to the development of the Casual Dating market in Sudan. The country has a relatively young population, with a significant proportion of the population being under the age of 30. This demographic is more open to exploring casual relationships and is actively seeking platforms that cater to their needs. Additionally, Sudanese society is becoming more liberal and accepting of non-traditional relationship dynamics, further fueling the demand for casual dating options. Underlying macroeconomic factors also play a role in the growth of the Casual Dating market in Sudan. The country has experienced economic growth in recent years, resulting in increased disposable income for many individuals. This has allowed them to spend more on leisure activities, including dating. Additionally, the internet and smartphone penetration rates in Sudan have been steadily increasing, providing a conducive environment for the growth of online dating platforms. In conclusion, the Casual Dating market in Sudan is developing rapidly due to shifting customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As Sudanese society becomes more open to casual relationships and individuals seek more freedom and flexibility in their dating lives, the demand for casual dating platforms and apps will continue to rise.

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.