Matchmaking - Lesotho

Lesotho

Highlights

Revenue in the Matchmaking market is projected to reach US$56.19k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -1.40%, resulting in a projected market volume of US$52.36k by 2029.
In the Matchmaking market, the number of users is expected to amount to 8.4k users by 2029.
User penetration will be 0.4% in 2024 and is expected to hit 0.3% by 2029.
The average revenue per user (ARPU) is expected to amount to US$6.51.
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 Lesotho is experiencing steady growth, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Casual Dating market have shifted in recent years, with more people opting for casual relationships and non-committal encounters. This shift can be attributed to various factors, including changing societal norms and a desire for more freedom and flexibility in personal relationships. Additionally, the younger generation is more open-minded and less traditional when it comes to dating, leading to an increased acceptance of casual dating among the population. Trends in the market indicate a growing demand for online dating platforms in Lesotho. These platforms provide a convenient and accessible way for individuals to connect with potential partners. The ease of use and wide range of options offered by these platforms have contributed to their popularity. Furthermore, the COVID-19 pandemic has accelerated the adoption of online dating, as people turned to virtual dating to meet new people while adhering to social distancing measures. Local special circumstances in Lesotho also play a role in the development of the Casual Dating market. The country has a relatively young population, with a large percentage of the population being under the age of 30. This demographic is more likely to engage in casual dating and seek out new experiences. Additionally, Lesotho is a small country with limited social circles, making it more challenging to meet new people organically. Online dating platforms provide a solution by connecting individuals who may not have crossed paths otherwise. Underlying macroeconomic factors also contribute to the growth of the Casual Dating market in Lesotho. The country has experienced economic growth in recent years, leading to an increase in disposable income among the population. This has allowed individuals to spend more on leisure activities, including casual dating. Additionally, the rise of the internet and mobile technology has made online dating more accessible to a larger portion of the population. In conclusion, the Casual Dating market in Lesotho is developing due to changing customer preferences, the increasing popularity of online dating platforms, local special circumstances, and underlying macroeconomic factors. As more people embrace casual relationships and seek out convenient ways to meet new people, the market is expected to continue growing in the coming years.

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.