Online Food Delivery - Slovenia

  • Slovenia
  • The Online Food Delivery market in Slovenia is expected to reach a revenue of US$274.60m in 2024.
  • It is projected to show an annual growth rate (CAGR 2024-2029) of 7.47%, resulting in a market volume of US$393.60m by 2029.
  • In the Meal Delivery market, in Slovenia is expected to experience a revenue growth of 10.0% in 2025.
  • The projected market volume for Meal Delivery in Slovenia is US$246.00m in 2024.
  • In comparison to other countries, China is expected to generate the highest revenue in the Online Food Delivery market, reaching US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Slovenia is projected to be US$565.80 in 2024.
  • As for the Grocery Delivery market in Slovenia, the number of users is expected to reach 0.5m users by 2029.
  • The user penetration rate in the Grocery Delivery market is estimated to be 21.1% in 2024.
  • Amidst the growing popularity of online food delivery platforms, Slovenia's market is witnessing a surge in demand for local cuisine delivered straight to people's doorsteps.
 
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Analyst Opinion

Slovenia, a small European nation, is witnessing a surge in the online food delivery market.

Customer preferences:
Slovenians have shown a growing inclination towards online food delivery services due to their busy lifestyles and the convenience offered by these services. Moreover, the COVID-19 pandemic has further accelerated the trend as people are avoiding crowded places and opting for contactless delivery options.

Trends in the market:
The online food delivery market in Slovenia is dominated by global players like Glovo, Wolt, and Bolt Food. These companies are expanding their operations in the country, thereby increasing competition in the market. In addition, local players like Ehrana and Donesi are also gaining popularity among Slovenian consumers. The market is witnessing an increase in the number of partnerships between online food delivery companies and restaurants, which is leading to a wider range of cuisine options available to customers. Another trend in the market is the emergence of dark kitchens, which are specialized food production facilities that cater exclusively to online food delivery orders.

Local special circumstances:
Slovenia has a small population and limited geographic area, which poses a challenge for online food delivery companies to expand their operations and make profits. However, the country's high internet penetration rate and the willingness of Slovenians to adopt new technologies have created opportunities for online food delivery companies to thrive. Additionally, the country's tourism industry has also contributed to the growth of the online food delivery market as tourists are increasingly using these services to explore local cuisine.

Underlying macroeconomic factors:
Slovenia has a stable economy with a high GDP per capita, which indicates a high purchasing power among its citizens. This has led to an increase in demand for premium food delivery services. Furthermore, the country's favorable business environment and government support for entrepreneurship have attracted foreign investment in the online food delivery market. However, the market is also facing challenges such as high competition, rising labor costs, and the need for continuous innovation to meet changing customer demands.

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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