Definition:
Casual Dating comprises online services for the establishment of sexually oriented contacts outside of romantic relationships. These are not exclusively addressed to singles, but also provide people with ways to enter into extra-relational affairs like Ashley Madison. These types of online dating such as AdultFriendFinder or VictoriaMilan clearly focus on non-committal erotic adventures.Additional Information
Data icludes revenue figuresin Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Source: Statista Market Insights
The Online Dating market in Switzerland has been experiencing steady growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in Switzerland have shifted towards online dating platforms due to their convenience and accessibility. With busy lifestyles and limited time for socializing, many individuals are turning to online dating as a way to meet potential partners. The ability to browse through profiles and communicate with others from the comfort of their own homes has made online dating an attractive option for Swiss singles. Trends in the market have also played a role in the growth of online dating in Switzerland. The rise of smartphones and mobile apps has made it even easier for people to connect with others online. Dating apps have become increasingly popular, allowing users to swipe through profiles and chat with matches on-the-go. This trend towards mobile dating has fueled the growth of the online dating market in Switzerland. Local special circumstances have further contributed to the development of the online dating market in Switzerland. The country's small size and diverse population make it challenging for individuals to meet potential partners through traditional means. Online dating provides a platform for Swiss singles to expand their social networks and connect with people they may not have otherwise met. Underlying macroeconomic factors have also influenced the growth of online dating in Switzerland. The country's high standard of living and strong economy have created a favorable environment for online dating services. Swiss singles have the financial means to invest in online dating platforms and are willing to pay for premium features and services. In conclusion, the Online Dating market in Switzerland has experienced growth due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The convenience of online dating, the rise of mobile apps, the country's unique social dynamics, and the strong economy have all contributed to the development of the online dating market in Switzerland.
Most recent update: Mar 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights