Matchmaking - BRICS

BRICS

Highlights

Revenue in the Matchmaking market is projected to reach US$1.61bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.22%, resulting in a projected market volume of US$1.71bn by 2029.
In the Matchmaking 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 China (US$1.21bn in 2024).
With a projected rate of 0.0, the user penetration in the Matchmaking market is highest 0.0.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in BRICS is experiencing significant growth and development due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Casual Dating market are shifting towards more casual and non-committal relationships. With the rise of digital platforms and social media, individuals are increasingly seeking short-term connections and casual encounters. This shift in preferences is driven by a desire for freedom, flexibility, and the ability to explore different relationships without long-term commitments. Additionally, the younger generation in BRICS countries is more open-minded and progressive, leading to an increased acceptance of casual dating. Trends in the Casual Dating market vary across BRICS countries. In Brazil, for example, there is a growing popularity of dating apps and online platforms that cater specifically to casual dating. These platforms provide a convenient and discreet way for individuals to connect with like-minded people and arrange casual encounters. In Russia, on the other hand, there is a rise in offline casual dating events and social gatherings. These events provide an opportunity for individuals to meet and connect in a more traditional and face-to-face setting. Local special circumstances also play a role in the development of the Casual Dating market in BRICS. In India, for instance, there is a cultural shift towards more liberal attitudes towards relationships and sexuality. This shift is fueled by urbanization, exposure to Western culture, and the influence of Bollywood movies and TV shows. As a result, casual dating is becoming more accepted and mainstream in Indian society. Underlying macroeconomic factors also contribute to the growth of the Casual Dating market in BRICS. Economic growth and rising disposable incomes in these countries have led to increased spending on leisure activities and entertainment. Individuals now have more disposable income to spend on casual dating experiences, such as dining out, going to events, or traveling. Additionally, the proliferation of smartphones and internet connectivity has made it easier for people to access dating apps and platforms, further fueling the growth of the market. In conclusion, the Casual Dating market in BRICS is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. As individuals in these countries become more open-minded and progressive, the demand for casual dating experiences is expected to continue to rise.

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.