Matchmaking - Italy

Italy

Highlights

Revenue in the Matchmaking market is projected to reach US$23.34m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.90%, resulting in a projected market volume of US$25.64m by 2029.
In the Matchmaking market, the number of users is expected to amount to 417.2k users by 2029.
User penetration will be 0.7% in 2024 and is expected to hit 0.7% by 2029.
The average revenue per user (ARPU) is expected to amount to US$59.94.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Italy has been experiencing significant growth in recent years.

Customer preferences: Italian consumers are increasingly turning to casual dating platforms to meet new people and explore romantic connections. This shift in customer preferences can be attributed to several factors. Firstly, the rise of digitalization and smartphone usage has made it easier for individuals to connect with others online. Casual dating platforms provide a convenient way for people to meet potential partners without the need for traditional dating methods. Secondly, the younger generation in Italy is more open-minded and progressive when it comes to relationships. They are less likely to conform to traditional societal norms and are more inclined to explore casual dating as a way to meet new people and have fun. This change in attitudes towards relationships has contributed to the growth of the casual dating market in Italy.

Trends in the market: One of the key trends in the casual dating market in Italy is the increasing popularity of niche dating platforms. These platforms cater to specific interests or demographics, such as LGBTQ+ individuals or people with specific hobbies or interests. This trend reflects the growing demand for personalized and tailored dating experiences. Another trend in the market is the integration of advanced technologies and features in casual dating platforms. This includes features such as artificial intelligence algorithms that match users based on their preferences and interests, as well as video chat capabilities that allow users to have virtual dates. These technological advancements enhance the user experience and make casual dating platforms more engaging and interactive.

Local special circumstances: Italy is known for its rich cultural heritage and romantic atmosphere, which makes it an ideal market for casual dating. The country's vibrant nightlife and social scene provide ample opportunities for people to meet and connect with others. Additionally, Italians have a strong appreciation for beauty and aesthetics, which is reflected in their approach to dating and relationships. This cultural context contributes to the growth of the casual dating market in Italy.

Underlying macroeconomic factors: The growth of the casual dating market in Italy can also be attributed to underlying macroeconomic factors. Italy has a relatively high unemployment rate, particularly among young people. This has led to a shift in priorities, with many individuals focusing on their careers and personal development rather than settling down in long-term relationships. Casual dating provides a flexible and low-commitment option for individuals who are focused on their professional lives. Furthermore, Italy has a high rate of smartphone penetration, which enables widespread access to casual dating platforms. The convenience and accessibility of these platforms have contributed to their popularity among Italian consumers. In conclusion, the casual dating market in Italy is experiencing significant growth due to changing customer preferences, the adoption of advanced technologies, local cultural circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is likely that we will see further innovation and expansion in the industry.

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.