Dating Services - Argentina

Argentina

Revenue in the Dating Services market is projected to reach €12.92m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of -0.70%, resulting in a projected market volume of €12.56m by 2028.
The Matchmaking market has a projected market volume of €11.35m in 2024.
In global comparison, most revenue will be generated in the United States (€2,362.00m in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to €2.44 in 2024.
In the Dating Services market, the number of users is expected to amount to 5.8m users by 2028.
User penetration in the Dating Services market will be at 11.3% in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Dating Services market in Argentina has been experiencing significant growth in recent years.

Customer preferences: Customers in Argentina have shown a growing interest in online dating platforms. This can be attributed to the increasing use of smartphones and internet penetration in the country. Online dating provides convenience and a wider pool of potential partners, which appeals to many individuals. Additionally, the younger generation in Argentina is more open to the idea of using technology to find romantic partners, further driving the demand for online dating services.

Trends in the market: One of the key trends in the Dating Services market in Argentina is the rise of niche dating platforms. These platforms cater to specific demographics or interests, allowing individuals to connect with like-minded people. This trend reflects the growing desire for personalized and targeted dating experiences. Niche dating platforms also provide an opportunity for smaller players to enter the market and differentiate themselves from larger, more generic dating apps. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies. Dating platforms are leveraging these technologies to improve match recommendations and enhance user experiences. AI and ML algorithms analyze user data and preferences to suggest potential matches, increasing the chances of finding compatible partners. This trend is expected to continue as technology advancements continue to shape the dating landscape.

Local special circumstances: Argentina has a vibrant and social culture, with people valuing personal connections and relationships. This cultural aspect contributes to the growing popularity of dating services in the country. Additionally, Argentina has a relatively high divorce rate, leading to an increased number of single individuals who are seeking new relationships. Dating services provide a platform for these individuals to meet new people and potentially find love or companionship.

Underlying macroeconomic factors: The economic stability and growth in Argentina have also played a role in the development of the Dating Services market. As the economy improves, people have more disposable income to spend on leisure activities, including online dating. This has led to an increase in demand for dating services and a willingness to pay for premium features or subscriptions. Furthermore, the COVID-19 pandemic and the resulting lockdown measures have accelerated the adoption of online dating platforms as people sought alternative ways to meet and connect with others. In conclusion, the Dating Services market in Argentina is experiencing growth due to changing customer preferences, including the increasing use of online platforms and the popularity of niche dating services. The integration of AI and ML technologies is also driving innovation in the market. Local special circumstances, such as Argentina's social culture and the high divorce rate, contribute to the demand for dating services. Additionally, underlying macroeconomic factors, such as economic stability and the impact of the COVID-19 pandemic, have further fueled the growth of the market.

Methodology

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.