Dating Services

Revenue in the Dating Services market is projected to reach US$6.23m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.85%, resulting in a projected market volume of US$6.50m by 2029.
The Matchmaking market has a projected market volume of US$2.96m in 2024.
In global comparison, most revenue will be generated United States (US$2.55bn in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$12.07 in 2024.
In the Dating Services market, the number of users is expected to amount to 523.3k users by 2029.
User penetration in the Dating Services market will be at 5.2% in 2024.

Definition:

Dating Services refer to digital platforms facilitating connections and relationships between individuals through online interactions and meetings. Users engage in various forms of dating, ranging from casual encounters to long-term relationships, facilitated by matchmaking algorithms and user preferences.

Structure:

The Dating Services market encompasses user and revenue development across three main segments: (1) Online Dating, (2) Casual Dating, and (3) Matchmaking. Online Dating platforms enable users to create profiles, browse other profiles, and communicate with potential partners through messaging or video chats. Casual Dating platforms focus on facilitating casual relationships, hookups, and short-term connections among users seeking non-committal interactions. Matchmaking services use algorithms and personalized services to match individuals based on compatibility, interests, and relationship goals, often targeting users seeking long-term relationships or marriage.

Additional Information:

Revenue figures include subscription fees, in-app purchases, and advertising revenue within the Dating Services market. User and revenue figures primarily represent B2C services, focusing on individual users seeking romantic connections and relationships.

Matchmaking for the search for life partners such as Matrimony.com
Online Dating for easy flirting and chatting such as Tinder and Bumble
Casual Dating for the search for non-committal sex such as Ashley Madison

Niche dating, such as portals or apps for vegetarians
Offline dating agencies
Speed dating or similar events for singles

The Dating Services market in Hungary 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 this development. Customer preferences in the Dating Services market in Hungary have shifted towards online platforms. With the increasing use of smartphones and the internet, individuals are turning to online dating platforms to meet potential partners. The convenience and accessibility of these platforms have made them popular among the younger generation in particular. Additionally, the desire for more personalized and tailored dating experiences has led to the emergence of niche dating services catering to specific interests and demographics. Trends in the market indicate a growing acceptance and normalization of online dating in Hungary. Traditionally, meeting potential partners through friends or family connections was the norm. However, as societal attitudes towards dating have evolved, online dating has become more widely accepted. This trend is expected to continue as younger generations, who are more tech-savvy and open to new experiences, become the main consumers of dating services. Local special circumstances in Hungary have also contributed to the growth of the Dating Services market. Hungary has a relatively small population compared to other European countries, which can make it challenging to find compatible partners in traditional dating settings. Online dating platforms provide a larger pool of potential partners, increasing the chances of finding a suitable match. Additionally, Hungary has a high rate of urbanization, with a significant portion of the population living in cities. This urban lifestyle often leads to busy schedules and limited opportunities for socializing, making online dating a convenient alternative. Underlying macroeconomic factors have further fueled the growth of the Dating Services market in Hungary. The country has experienced steady economic growth in recent years, leading to increased disposable income among the population. This has resulted in higher consumer spending on leisure activities, including dating services. Additionally, Hungary has a high internet penetration rate, with a large portion of the population having access to the internet. This widespread internet usage has created a favorable environment for the growth of online dating platforms. In conclusion, the Dating Services market in Hungary is developing rapidly due to customer preferences shifting towards online platforms, the normalization of online dating, local special circumstances such as a small population and high urbanization rate, and underlying macroeconomic factors such as economic growth and high internet penetration. As these factors continue to shape the market, it is expected that the Dating Services industry in Hungary will continue to thrive in the coming years.

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.

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