Restaurant Delivery - Estonia

  • Estonia
  • The Restaurant Delivery market in Estonia is projected to reach a revenue of US$20.30m in 2024.
  • This market is expected to grow at an annual rate of 4.82%, resulting in a projected market volume of US$25.69m by 2029.
  • By that year, the number of users in the Restaurant Delivery market is expected to amount to 380.1k users.
  • The user penetration rate, which is the percentage of the population using this service, is predicted to be 25.0% in 2024 and is expected to increase to 29.4% by 2029.
  • The average revenue per user (ARPU) is projected to be US$61.49.
  • When comparing the global market, it is worth noting that United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • On the other hand, South Korea is projected to have the highest user penetration rate of 53.1% in the Restaurant Delivery market.
  • The restaurant delivery market in Estonia has seen a surge in demand due to the growing popularity of online food ordering platforms.
 
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Analyst Opinion

The popularity of restaurant delivery services has been on the rise in Estonia in recent years.

Customer preferences:
Estonians have been embracing the convenience of ordering food online and having it delivered to their doorstep. This trend has been particularly prevalent among younger generations who are more tech-savvy and value time-saving solutions. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more people opt to stay at home and avoid crowded places.

Trends in the market:
The restaurant delivery market in Estonia has witnessed significant growth in recent years, with both local and international players entering the market. The competition has intensified, leading to lower prices and improved services. Customers now have a wider range of options to choose from, including not only fast food but also high-end restaurants and specialty cuisines. Moreover, there has been a growing demand for healthy and sustainable food options, which has led to the emergence of new players specializing in this niche.

Local special circumstances:
Estonia's small population and geographical location have presented unique challenges and opportunities for the restaurant delivery market. The country's relatively small size and high population density in urban areas have made it easier for delivery companies to reach a large number of customers quickly. However, the country's cold climate and long winters have made it more challenging to deliver food quickly and efficiently.

Underlying macroeconomic factors:
Estonia's strong digital infrastructure and high internet penetration rate have been instrumental in the growth of the restaurant delivery market. Additionally, the country's strong economic performance and high GDP per capita have contributed to the growing demand for food delivery services. However, the country's relatively high labor costs and strict labor laws have made it more challenging for companies to operate profitably.

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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