Dating Services - Kenya

Kenya

Highlights

Revenue in the Dating Services market is projected to reach US$3.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.46%, resulting in a projected market volume of US$3.71m by 2028.
The Matchmaking market has a projected market volume of US$2.68m in 2024.
In global comparison, most revenue will be generated United States (US$2.55bn in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$2.47 in 2024.
In the Dating Services market, the number of users is expected to amount to 1.7m users by 2028.
User penetration in the Dating Services market will be at 2.4% in 2024.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dating Services market in Kenya is experiencing significant growth and development due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Dating Services market in Kenya have shifted towards online platforms and mobile applications. With the increasing penetration of smartphones and internet connectivity, more people are turning to digital platforms to find potential partners. This shift is driven by the convenience and accessibility offered by online dating services, allowing individuals to connect with others from the comfort of their own homes. Additionally, online dating provides a wider pool of potential partners, increasing the chances of finding a compatible match. Trends in the market indicate a growing acceptance and adoption of online dating among Kenyan consumers. This trend is influenced by the global rise of online dating services and the success stories shared by individuals who have found love through these platforms. As more people become aware of the benefits and possibilities offered by online dating, the market is expected to continue expanding. Local special circumstances also contribute to the development of the Dating Services market in Kenya. Traditional dating methods, such as arranged marriages and introductions through family and friends, are still prevalent in some communities. However, the younger generation is increasingly embracing modern dating practices, including online dating. This generational shift is driven by factors such as urbanization, exposure to Western culture, and changing societal norms. Underlying macroeconomic factors also play a role in the growth of the Dating Services market in Kenya. Economic development has led to an increase in disposable income, allowing individuals to allocate funds towards dating services. Additionally, urbanization and the rise of the middle class have created a larger pool of potential customers for dating service providers. As more people migrate to cities and experience a higher standard of living, the demand for dating services is expected to rise. In conclusion, the Dating Services market in Kenya is developing rapidly due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards online platforms, the growing acceptance of online dating, and the influence of global trends are driving the market's growth. Additionally, local special circumstances, such as the generational shift towards modern dating practices, contribute to the market's development. Lastly, underlying macroeconomic factors, including economic development and urbanization, provide a favorable environment for the expansion of the Dating Services market in Kenya.

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.