Online Dating - D-A-CH

  • D-A-CH
  • Revenue in the Online Dating market is projected to reach US$144.30m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.05%, resulting in a projected market volume of US$152.00m by 2029.
  • In the Online Dating market, the number of users is expected to amount to 0.00 by 2029.
  • User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2029.
  • The average revenue per user (ARPU) is expected to amount to 0.00.
  • In global comparison, most revenue will be generated in the United States (US$1,392.00m in 2024).
  • With a projected rate of 17.7%, the user penetration in the Online Dating market is highest in the United States.
 
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Analyst Opinion

The Matchmaking market in D-A-CH, which includes Germany, Austria, and Switzerland, is experiencing significant growth and development.

Customer preferences:
Customers in the D-A-CH region have shown a strong preference for online matchmaking platforms. This can be attributed to the convenience and ease of use offered by online platforms, as well as the wide range of options available. Additionally, customers in this region value privacy and discretion, which online platforms can provide.

Trends in the market:
One of the key trends in the D-A-CH matchmaking market is the increasing popularity of niche matchmaking platforms. These platforms cater to specific demographics or interests, allowing customers to find more tailored matches. This trend is driven by the desire for more personalized experiences and the recognition that niche platforms can provide better matches based on shared interests or backgrounds. Another trend in the market is the growing demand for matchmaking services for older adults. As the population in the D-A-CH region ages, there is an increasing need for matchmaking services that cater to the specific needs and preferences of older adults. This includes platforms that focus on companionship and shared activities, as well as those that cater to specific religious or cultural backgrounds.

Local special circumstances:
The D-A-CH region has a strong cultural emphasis on privacy and discretion, which has influenced the development of the matchmaking market. Customers in this region value platforms that prioritize data protection and offer secure communication channels. Additionally, the region's cultural diversity has led to the development of matchmaking platforms that cater to specific religious or cultural backgrounds, allowing customers to find matches that align with their values and beliefs.

Underlying macroeconomic factors:
The strong economy in the D-A-CH region has contributed to the growth of the matchmaking market. With high levels of disposable income and a focus on quality of life, customers in this region are willing to invest in matchmaking services to find compatible partners. Additionally, the region's high level of internet penetration and technological advancement has made online matchmaking platforms easily accessible to a wide range of customers. In conclusion, the Matchmaking market in D-A-CH is experiencing growth and development due to customer preferences for online platforms, the emergence of niche matchmaking platforms, the increasing demand for services for older adults, and the region's cultural emphasis on privacy and discretion. The strong economy and high levels of internet penetration in the region have also contributed to the market's growth.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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