Dating Services are generally characterized by their search functionality which enables its users to establish interpersonal relationships via the internet. This includes the focused search for life partners, flirts, or sexual partners. Both dating portals and apps are incorporated into the examination.
The Matchmaking market contains dating services for the systematic search for partners who are willing to enter into a long-term committed relationship by means of mathematical algorithms. The market of Online Dating is made up of online services that offer a platform on which its members can flirt, chat or fall in love. Two examples are Tinder and Bumble, these platforms focus on casual contacting and easy flirting among their members. Casual Dating comprises online services for the establishment of sexually oriented contacts outside of romantic relationships.Data includes revenue figures in Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.
Matchmaking for the search for life partners
Online Dating for easy flirting and chatting
Casual Dating for the search for non-committal sex
Niche dating, such as portals or apps for vegetarians
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.
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.
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.
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.