Online Dating - Switzerland

Switzerland

Highlights

Revenue in the Online Dating market is projected to reach US$16.08m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.39%, resulting in a projected market volume of US$17.23m by 2029.
In the Online Dating market, the number of users is expected to amount to 735.5k users by 2029.
User penetration will be 7.8% in 2024 and is expected to hit 8.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$23.23.
In global comparison, most revenue will be generated United States (US$1.39bn in 2024).
With a projected rate of 17.7%, the user penetration in the Online Dating market is highest United States.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Switzerland is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Matchmaking market have shifted towards more personalized and efficient services. Customers are increasingly seeking platforms and services that cater to their specific needs and preferences, rather than relying on traditional methods of meeting potential partners. This shift is driven by the desire for convenience and efficiency in finding compatible matches. Additionally, customers are placing greater importance on factors such as shared values, interests, and goals when choosing a partner, leading to increased demand for matchmaking services that focus on these aspects. Trends in the Matchmaking market in Switzerland include the rise of online platforms and the integration of technology in matchmaking services. Online platforms provide a convenient and accessible way for customers to connect with potential partners, allowing them to browse profiles and communicate with matches at their own pace. This trend is further fueled by the increasing use of smartphones and the internet, which has made online matchmaking more accessible to a wider audience. Additionally, matchmaking services are leveraging technology such as artificial intelligence and algorithms to enhance the matching process, providing customers with more accurate and compatible matches. Local special circumstances in Switzerland contribute to the development of the Matchmaking market. Switzerland is known for its high standard of living and well-educated population, which creates a demand for matchmaking services that cater to professionals and individuals with specific preferences. Additionally, the country's multicultural and multilingual society provides opportunities for specialized matchmaking services that cater to different cultural backgrounds and languages. Underlying macroeconomic factors also play a role in the development of the Matchmaking market in Switzerland. The country's stable economy and high disposable income levels contribute to the willingness of customers to invest in matchmaking services. Furthermore, Switzerland's high rate of urbanization and busy lifestyles make traditional methods of meeting potential partners less feasible, increasing the demand for matchmaking services that provide efficient and tailored solutions. In conclusion, the Matchmaking market in Switzerland is experiencing growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards personalized and efficient services, the rise of online platforms and technology integration, the local special circumstances in Switzerland, and the country's stable economy and high disposable income levels all contribute to the development of the market.

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.