Matchmaking - G7 | Statista Market Forecast

Matchmaking - G7

Highlights

Revenue in the Matchmaking market is projected to reach US$1.53bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.04%, resulting in a projected market volume of US$1.66bn by 2028.
In the Matchmaking market, the number of users is expected to amount to 15.5m users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$106.30.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 0.0, the user penetration in the Matchmaking market is highest 0.0.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in G7 countries is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances.

Customer preferences: Customers in G7 countries are increasingly turning to matchmaking services to find their ideal partners. This shift in preference can be attributed to several factors. Firstly, the busy and fast-paced lifestyles of individuals in G7 countries often leave little time for traditional dating methods. Matchmaking services provide a convenient and efficient way for people to meet potential partners who are compatible with their values and interests. Secondly, there is a growing acceptance and normalization of online dating and matchmaking platforms. With the proliferation of smartphones and the internet, people are more comfortable using digital platforms to connect with others. This has led to an increased demand for online matchmaking services that offer personalized matching algorithms and advanced search filters.

Trends in the market: One of the key trends in the matchmaking market in G7 countries is the rise of niche and specialized matchmaking services. These services cater to specific demographics or interests, such as religious matchmaking, LGBTQ+ matchmaking, and professional matchmaking. By targeting specific groups, these services are able to provide more tailored and relevant matches, increasing the likelihood of successful connections. Another trend is the integration of artificial intelligence (AI) and machine learning algorithms in matchmaking platforms. These technologies analyze user data and behavior to improve the accuracy of match suggestions. AI-powered matchmaking platforms can learn from user preferences and past interactions to provide more compatible matches, enhancing the overall user experience.

Local special circumstances: Each G7 country has its own unique set of circumstances that influence the matchmaking market. For example, in the United States, the high divorce rate and increasing number of single adults have contributed to a growing demand for matchmaking services. In Japan, the declining birth rate and aging population have led to a rise in matchmaking services that focus on marriage and family. In Canada, the multicultural nature of the country has given rise to matchmaking services that cater to specific ethnic communities. These services understand the cultural nuances and preferences of different groups, facilitating meaningful connections.

Underlying macroeconomic factors: The strong economies of G7 countries play a significant role in the development of the matchmaking market. Higher disposable incomes and increased consumer spending power allow individuals to invest in matchmaking services. Additionally, the stability and prosperity of these economies create an environment where people feel more confident in seeking long-term relationships. Furthermore, the technological advancements and infrastructure in G7 countries provide a solid foundation for the growth of online matchmaking platforms. The widespread access to high-speed internet and the prevalence of smartphones enable individuals to easily access and use matchmaking services. In conclusion, the matchmaking market in G7 countries is thriving due to changing customer preferences, emerging trends, and local special circumstances. The increasing acceptance of online dating, the rise of niche matchmaking services, and the integration of AI technology are driving the growth of the market. Additionally, the unique circumstances and underlying macroeconomic factors in each G7 country contribute to the development of the matchmaking 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.