Matchmaking - Angola

Angola

Highlights

Revenue in the Matchmaking market is projected to reach US$1.23m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -1.82%, resulting in a projected market volume of US$1.12m by 2029.
In the Matchmaking market, the number of users is expected to amount to 194.1k users by 2029.
User penetration will be 0.5% in 2024 and is expected to hit 0.4% by 2029.
The average revenue per user (ARPU) is expected to amount to US$6.05.
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 Angola is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances.

Customer preferences: In Angola, there is a growing demand for casual dating services as more people are seeking companionship and connection outside of traditional relationships. This shift in customer preferences can be attributed to several factors, including changing societal norms, increased urbanization, and the influence of Western culture. As people become more open-minded and adventurous, they are increasingly embracing the concept of casual dating as a way to explore their desires and meet like-minded individuals.

Trends in the market: One of the key trends in the Casual Dating market in Angola is the rise of online platforms and mobile applications. These platforms provide a convenient and accessible way for individuals to connect with potential partners, browse profiles, and arrange casual dates. The ease of use and anonymity offered by these platforms have contributed to their popularity among Angolan consumers. Additionally, the use of social media and online advertising has played a significant role in promoting casual dating services and attracting a wider audience.

Local special circumstances: Angola's unique cultural and social landscape has also contributed to the development of the Casual Dating market. The country has a relatively young population, with a significant portion of the population being under the age of 35. This demographic is more likely to embrace casual dating and seek out new experiences. Furthermore, Angola has a growing middle class with increased disposable income, allowing individuals to spend more on leisure activities, including casual dating.

Underlying macroeconomic factors: The economic growth and stability in Angola have also played a role in the development of the Casual Dating market. As the country's economy continues to improve, more people have access to disposable income and are willing to spend on leisure activities. This has created a favorable environment for the growth of the casual dating industry, as individuals are more willing to invest in their personal lives and experiences. In conclusion, the Casual Dating market in Angola is experiencing growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The increasing acceptance of casual dating, the rise of online platforms, and the country's unique demographic and economic landscape all contribute to the expansion of this market. As Angola continues to develop and evolve, it is likely that the Casual Dating market will continue to thrive and attract a larger audience.

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.