Casual Dating - Northern Africa

Northern Africa

Highlights

Revenue in the Casual Dating market is projected to reach US$11.55m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of -30.45%, resulting in a projected market volume of US$2.70m by 2028.
In the Casual Dating market, the number of users is expected to amount to 4.4m users by 2028.
User penetration will be 1.5% in 2024 and is expected to hit 1.6% by 2028.
The average revenue per user (ARPU) is expected to amount to US$3.10.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.5%, the user penetration in the Casual Dating market is highest United States.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Casual dating is gaining popularity in Northern Africa, driven by changing customer preferences and increasing internet penetration in the region. Customer preferences in Northern Africa are shifting towards more casual and non-committal relationships. With the increasing influence of Western culture and the rise of social media, young adults in the region are becoming more open to casual dating experiences. This is particularly true in urban areas where there is greater exposure to Western lifestyles and values. The convenience and anonymity offered by online dating platforms have also contributed to the growing acceptance of casual dating in the region. Trends in the market indicate a significant increase in the number of people using online dating platforms in Northern Africa. These platforms provide a convenient way for individuals to connect with potential partners and explore casual dating opportunities. The availability of mobile dating apps has further accelerated this trend, as they allow users to access dating services on the go. This has led to a rise in the number of casual dating app users in the region. Local special circumstances, such as conservative social norms and cultural traditions, can impact the casual dating market in Northern Africa. While there is a growing acceptance of casual dating among the younger generation, there is still a significant portion of the population that adheres to traditional values and beliefs. This can create a divide in the market, with some individuals embracing casual dating while others prefer more traditional forms of courtship. Underlying macroeconomic factors, such as increasing internet penetration and smartphone adoption, have played a crucial role in the development of the casual dating market in Northern Africa. As more people gain access to the internet and smartphones, the potential customer base for online dating platforms expands. This has created a favorable environment for the growth of the casual dating market in the region. In conclusion, the casual dating market in Northern Africa is experiencing growth due to changing customer preferences, increasing internet penetration, and the rise of online dating platforms. While there are still cultural and social factors that influence the market, the overall trend indicates a shift towards more casual and non-committal relationships in the region.

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.