Restaurant Delivery - Lithuania

  • Lithuania
  • The Restaurant Delivery market in Lithuania is projected to reach a revenue of US$23.69m by 2024.
  • This indicates an expected annual growth rate (CAGR 2024-2029) of 6.20%, resulting in a projected market volume of US$32.01m by 2029.
  • In Lithuania's Restaurant Delivery market, the number of users is expected to reach 562.2k users by 2029.
  • The user penetration is projected to be 17.2% in 2024 and is expected to increase to 21.8% by 2029.
  • The average revenue per user (ARPU) is expected to be US$51.03.
  • In global comparison, United States is anticipated to generate the highest revenue of US$36,950.00m in 2024.
  • Additionally, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market with a projected rate of 44.8%.
  • Lithuania's restaurant delivery market is experiencing a surge in demand as consumers seek convenient and contactless dining options amidst the ongoing pandemic.
 
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Analyst Opinion

The popularity of restaurant delivery services has been on the rise in Lithuania, with an increasing number of people opting for the convenience of having food delivered to their doorstep.

Customer preferences:
Lithuanian consumers have shown a growing preference for online ordering and home delivery of food, driven by changing lifestyles and busier schedules. The demand for restaurant delivery services has been fueled by the convenience of ordering food through mobile apps and websites, as well as the availability of a wider range of cuisines and menu options.

Trends in the market:
The restaurant delivery market in Lithuania has been growing rapidly, with the entry of new players and the expansion of existing ones. The market has become increasingly competitive, with companies offering a range of services such as food delivery, meal kit delivery, and grocery delivery. The trend towards healthy eating and sustainability has also influenced the market, with more restaurants offering plant-based and locally sourced food.

Local special circumstances:
The Lithuanian restaurant delivery market is unique in that it is dominated by local players, with international players having a relatively small presence. This is partly due to the fact that Lithuanian cuisine is not widely known outside the country, and also because of the strong competition from local players who have a better understanding of the local market.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Lithuania is also linked to broader macroeconomic factors such as rising disposable incomes, urbanization, and changing consumer habits. As more people move to cities and work longer hours, the demand for convenient and affordable food options has increased. Additionally, the COVID-19 pandemic has accelerated the shift towards online ordering and home delivery, as people have been forced to stay at home and avoid crowded places. In conclusion, the restaurant delivery market in Lithuania is growing rapidly, driven by changing consumer preferences and broader macroeconomic factors. The market is becoming increasingly competitive, with local players dominating the market and offering a range of services to cater to different customer needs. As the trend towards healthy eating and sustainability continues to gain momentum, we can expect to see more restaurants offering plant-based and locally sourced food, further fueling the growth of the market.

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