Dating Services - BRICS

  • BRICS
  • Revenue in the Dating Services market is projected to reach US$2.21bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.11%, resulting in a projected market volume of US$2.31bn by 2028.
  • The Matchmaking market has a projected market volume of US$1.61bn in 2024.
  • In global comparison, most revenue will be generated in the United States (US$2,547.00m in 2024).
  • The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$8.26 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 316.7m users by 2028.
  • User penetration in the Dating Services market will be at 0.00 in 2024.

Key regions: Europe, India, Brazil, Asia, Germany

 
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Analyst Opinion

The Dating Services market in BRICS has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this industry. Customer preferences in the Dating Services market in BRICS have shifted towards online platforms and mobile applications. With the increasing popularity of smartphones and internet access, individuals are now more inclined to seek potential partners through digital means. This preference for online dating has led to the emergence of various dating apps and websites in the BRICS countries. Trends in the market indicate a growing acceptance of online dating in BRICS. In countries like Brazil and Russia, where traditional dating methods may be less prevalent, online dating has become a popular way to meet new people. The convenience and accessibility of these platforms have attracted a large user base, leading to increased competition among dating service providers. Local special circumstances also play a role in the development of the Dating Services market in BRICS. For example, in China, where the one-child policy has resulted in a gender imbalance, there is a high demand for dating services that cater to both men and women. This has created opportunities for matchmaking agencies and dating events to thrive in the Chinese market. Underlying macroeconomic factors have also contributed to the growth of the Dating Services market in BRICS. As these countries experience economic development and rising disposable incomes, individuals are more willing to spend money on leisure activities, including dating services. Additionally, urbanization and changing social norms have led to a shift in dating patterns, with more people seeking non-traditional methods to meet potential partners. In conclusion, the Dating Services market in BRICS is developing due to customer preferences for online platforms and mobile applications, trends towards acceptance of online dating, local special circumstances such as gender imbalances, and underlying macroeconomic factors such as economic development and changing social norms. These factors have created a favorable environment for the growth of the dating industry in BRICS.

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
  • Market Shares
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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