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 2024-2028) of 2.24%, resulting in a projected market volume of US$1.10m by 2028.
In the Matchmaking market, the number of users is expected to amount to 23.1k users by 2028.
User penetration will be 0.8% in 2024 and is expected to hit 0.9% by 2028.
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.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Lithuania has been experiencing significant growth in recent years. Customer preferences have shifted towards online platforms, leading to the rise of digital matchmaking services. This trend is driven by several factors, including changing social norms, increased internet penetration, and the convenience offered by online platforms.

Customer preferences: In Lithuania, as in many other countries, there has been a shift in customer preferences towards online matchmaking services. This can be attributed to the increasing acceptance and popularity of online dating, as well as the convenience and efficiency offered by digital platforms. Customers appreciate the ability to browse through a large number of potential matches, filter based on their preferences, and communicate with potential partners before meeting in person. The ease of use and accessibility of these platforms have made them a preferred choice for many Lithuanians seeking romantic relationships.

Trends in the market: One of the key trends in the Lithuanian matchmaking market is the growing popularity of niche dating platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or professional backgrounds. This trend reflects the increasing demand for more personalized matchmaking services, as customers seek partners who share their values or interests. Niche platforms also provide a sense of community and belonging, which can be appealing to individuals looking for a more targeted dating experience. Another trend in the market is the integration of artificial intelligence (AI) and machine learning technologies into matchmaking platforms. These technologies can analyze large amounts of data to identify patterns and preferences, helping to improve the accuracy and efficiency of matchmaking algorithms. AI-powered platforms can also provide personalized recommendations and suggestions based on user behavior and preferences. This trend is driven by the desire to enhance the matchmaking experience and increase the likelihood of successful matches.

Local special circumstances: Lithuania has a relatively small population compared to other European countries, which can present challenges for the matchmaking market. The limited pool of potential partners can make it more difficult for individuals to find compatible matches, particularly in smaller cities or rural areas. This has led to the adoption of online platforms as a way to expand the dating pool and increase the chances of finding a suitable partner.

Underlying macroeconomic factors: The growth of the matchmaking market in Lithuania is also influenced by broader macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and consumer spending. This has made matchmaking services more affordable and accessible to a larger segment of the population. Additionally, the high internet penetration rate in Lithuania has created a favorable environment for the growth of online matchmaking platforms. The widespread use of smartphones and the availability of high-speed internet have made it easier for individuals to connect with potential partners online. In conclusion, the Matchmaking market in Lithuania is experiencing growth due to shifting customer preferences towards online platforms, the rise of niche dating platforms, the integration of AI and machine learning technologies, and favorable macroeconomic factors. These trends reflect the desire for more personalized and efficient matchmaking services, as well as the increasing acceptance and popularity of online dating.

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.