Matchmaking - Lithuania

Lithuania

Highlights

Revenue in the Matchmaking market is projected to reach US$1.01m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.17%, resulting in a projected market volume of US$1.12m by 2029.
In the Matchmaking market, the number of users is expected to amount to 23.3k users by 2029.
User penetration will be 0.8% in 2024 and is expected to hit 0.9% by 2029.
The average revenue per user (ARPU) is expected to amount to US$46.04.
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 Lithuania is experiencing steady growth and development, driven by changing customer preferences and the increasing acceptance of online dating platforms.

Customer preferences: Lithuanian customers are increasingly turning to casual dating as a way to meet new people and explore their romantic and sexual desires. The convenience and anonymity offered by online dating platforms have made them a popular choice among individuals looking for casual relationships or hookups. Additionally, the younger generation in Lithuania is more open-minded and progressive, which has contributed to the growing acceptance of casual dating.

Trends in the market: One of the key trends in the Casual Dating market in Lithuania is the rise of mobile dating apps. These apps offer a convenient and accessible way for people to connect with potential partners, allowing them to browse profiles and chat with others from the comfort of their own homes or on the go. The popularity of mobile dating apps has soared in recent years, with a growing number of Lithuanians using them to find casual dates. Another trend in the market is the increasing focus on safety and security. As the number of people using online dating platforms grows, so does the concern about potential risks such as identity theft, fraud, and harassment. In response, dating platforms in Lithuania are implementing stricter verification processes and safety features to ensure the protection of their users.

Local special circumstances: Lithuania has a relatively small population compared to other European countries, which presents both opportunities and challenges for the Casual Dating market. On one hand, a smaller population means a smaller pool of potential matches, which can make it more difficult for individuals to find suitable partners. On the other hand, the smaller market size allows for more targeted marketing and personalized services, which can enhance the overall user experience.

Underlying macroeconomic factors: The growing Casual Dating market in Lithuania is also influenced by several macroeconomic factors. The country has experienced steady economic growth in recent years, resulting in higher disposable incomes for many individuals. This has led to increased spending on leisure activities, including casual dating. Additionally, the high internet penetration rate in Lithuania has made online dating platforms easily accessible to a large portion of the population. In conclusion, the Casual Dating market in Lithuania is developing due to changing customer preferences, the rise of mobile dating apps, a focus on safety and security, and underlying macroeconomic factors. The growing acceptance of casual dating, coupled with the convenience and accessibility offered by online platforms, has contributed to the market's growth. As the market continues to evolve, it is likely that we will see further innovations and advancements in the Casual Dating industry in Lithuania.

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.