Dating Services

Angola

Highlights

Revenue in the Dating Services market is projected to reach US$3.05m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.74%, resulting in a projected market volume of US$3.32m by 2029.
The Online Dating market has a projected market volume of US$1.53m 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$1.35 in 2024.
In the Dating Services market, the number of users is expected to amount to 2.8m users by 2029.
User penetration in the Dating Services market will be at 5.9% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dating Services market in Angola is experiencing significant growth due to changing customer preferences and local special circumstances.

Customer preferences: In recent years, there has been a shift in customer preferences towards online dating platforms in Angola. This can be attributed to the increasing use of smartphones and internet access in the country. Online dating provides convenience and a wider pool of potential partners compared to traditional offline methods. Additionally, younger generations in Angola are more open to the idea of meeting new people through online platforms, further driving the demand for dating services.

Trends in the market: One of the key trends in the Dating Services market in Angola is the rise of niche dating platforms. These platforms cater to specific interests or demographics, allowing individuals to find like-minded partners. This trend is driven by the desire for more personalized and targeted dating experiences. Niche dating platforms also provide a sense of community and belonging for individuals with specific interests or backgrounds. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies. Dating platforms are utilizing these technologies to improve matching algorithms and provide more accurate and relevant recommendations to users. This enhances the overall user experience and increases the chances of finding compatible partners. AI and ML also help in identifying and preventing fraudulent activities, ensuring a safer dating environment for users.

Local special circumstances: Angola has a relatively young population, with a significant portion being millennials and Gen Z. These younger generations are more tech-savvy and open to embracing new technologies and online platforms. This demographic shift towards a younger population contributes to the growing demand for dating services in the country. Furthermore, cultural factors also play a role in the development of the Dating Services market in Angola. Traditional dating norms and practices are evolving, with more individuals seeking alternative ways to meet potential partners. Online dating provides a platform for individuals to connect with others outside their immediate social circles, offering more opportunities for romantic relationships.

Underlying macroeconomic factors: The growing economy and increasing disposable income in Angola have also contributed to the development of the Dating Services market. As individuals have more financial resources, they are willing to invest in dating services to enhance their social lives and find meaningful connections. The stability and growth of the economy create a conducive environment for the expansion of the dating industry. In conclusion, the Dating Services market in Angola is experiencing growth due to changing customer preferences towards online platforms, the rise of niche dating platforms, the integration of AI and ML technologies, the influence of a younger population, evolving cultural norms, and the positive macroeconomic factors in the country. These factors collectively contribute to the expansion and development of the dating industry in Angola.

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.