Grocery Delivery - Slovenia

  • Slovenia
  • The Grocery Delivery market in Slovenia is expected to generate a revenue of US$246.00m by the year 2024.
  • This projection indicates that the market will experience an annual growth rate of 7.93% from 2024 to 2029.
  • Consequently, the market volume is anticipated to reach US$360.30m by 2029.
  • In comparison, the Retail Delivery market is projected to have a market volume of US$237.70m in 2024.
  • It is worth noting that China is predicted to generate the highest revenue in this market, with an estimated US$266,000.00m in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market in Slovenia is expected to be US$565.80 in 2024.
  • Moreover, the number of users in this market is projected to reach 533.1k users by the year 2029.
  • Lastly, the user penetration rate in the Grocery Delivery market is anticipated to be at 20.5% in 2024.
  • Amidst the growing demand for grocery delivery services in Slovenia, local startups are capitalizing on the trend by integrating innovative technology solutions and expanding their reach to rural areas.
 
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Analyst Opinion

The demand for grocery delivery services in Slovenia has been on the rise in recent years.

Customer preferences:
Slovenian consumers have shown a growing interest in online shopping, including grocery delivery. The convenience of having groceries delivered to their doorstep has become increasingly appealing, especially for those with busy lifestyles. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping and grocery delivery services, as consumers have been more cautious about visiting physical stores.

Trends in the market:
One of the notable trends in the grocery delivery market in Slovenia is the emergence of new players. Both local and international companies have entered the market, increasing competition and driving innovation. Some of these companies have introduced new features such as personalized recommendations and same-day delivery, which have been well-received by consumers. Another trend is the expansion of product offerings beyond groceries, with some companies offering household essentials and even prepared meals.

Local special circumstances:
Slovenia's relatively small population and geography have presented challenges for grocery delivery companies. The country's rural areas, in particular, have limited infrastructure and pose logistical challenges for delivery services. However, some companies have found ways to overcome these challenges by partnering with local suppliers and leveraging technology to optimize delivery routes.

Underlying macroeconomic factors:
Slovenia's economy has been growing steadily in recent years, with low unemployment and rising disposable incomes. This has created a favorable environment for the grocery delivery market, as consumers have more purchasing power and are willing to pay for convenience. Additionally, the country's high internet penetration rate and strong e-commerce infrastructure have made it easier for companies to enter the online grocery 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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