Dating Services - Brazil

Brazil

Revenue in the Dating Services market is projected to reach €129.70m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.06%, resulting in a projected market volume of €135.30m by 2028.
The Matchmaking market has a projected market volume of €57.68m 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 €5.85 in 2024.
In the Dating Services market, the number of users is expected to amount to 24.0m users by 2028.
User penetration in the Dating Services market will be at 10.2% in 2024.

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

Mercado

Región

Comparación de regiones

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Analyst Opinion

The Dating Services market in Brazil has been experiencing significant growth in recent years, driven by changing customer preferences and the rise of online dating platforms. Customer preferences in the Dating Services market have shifted towards online platforms, with more people opting to use dating apps and websites to find potential partners. This trend can be attributed to the convenience and accessibility offered by these platforms, as well as the increasing acceptance of online dating in Brazilian society. Additionally, the younger generation in Brazil, who are more tech-savvy and open to new experiences, are embracing online dating as a way to meet new people. In terms of trends in the market, there has been a proliferation of niche dating platforms catering to specific interests and demographics. These platforms provide a more targeted approach to dating, allowing users to connect with others who share similar hobbies, lifestyles, or cultural backgrounds. This trend reflects the growing demand for personalized and specialized dating experiences, as individuals seek to find partners who align with their specific interests and values. Another trend in the Dating Services market in Brazil is the integration of artificial intelligence (AI) and machine learning technologies. Dating platforms are increasingly using these technologies to improve the matching process and enhance user experiences. AI algorithms analyze user data and preferences to suggest potential matches, increasing the likelihood of finding compatible partners. This trend is driven by the desire to provide users with more accurate and relevant matches, ultimately leading to higher user satisfaction and retention rates. Local special circumstances in Brazil also play a role in shaping the Dating Services market. Brazil is a culturally diverse country with a large population, providing a vast pool of potential users for dating platforms. Additionally, Brazil has a high smartphone penetration rate, which further facilitates the adoption of online dating apps and websites. The Brazilian culture is also known for its emphasis on social connections and relationships, making dating services a popular choice for individuals looking to meet new people and form meaningful connections. Underlying macroeconomic factors, such as increasing disposable income and urbanization, contribute to the growth of the Dating Services market in Brazil. As more people move to urban areas and experience higher incomes, they have more opportunities to engage in social activities, including dating. This creates a favorable environment for dating services to thrive, as individuals have the means and desire to invest in their personal lives. In conclusion, the Dating Services market in Brazil is experiencing growth due to changing customer preferences, the rise of online dating platforms, and the integration of AI and machine learning technologies. The market is also influenced by local special circumstances, such as cultural diversity and a high smartphone penetration rate. Additionally, underlying macroeconomic factors, such as increasing disposable income and urbanization, contribute to 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.