Online Food Delivery - Moldova

  • Moldova
  • In 2024, the revenue in the Online Food Delivery market in Moldova is projected to reach US$147.70m.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 21.15%, resulting in a projected market volume of US$385.40m by 2029.
  • In the Grocery Delivery market, a revenue growth of 30.3% is anticipated in 2025.
  • The projected market volume for this market is US$141.50m in 2024.
  • When compared globally, China is expected to generate the highest revenue of US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to amount to US$215.20 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 957.0k users by 2029.
  • The user penetration in the Grocery Delivery market is estimated to be at 19.7% in 2024.
  • Moldova's online food delivery market is rapidly expanding, with a strong focus on traditional Moldovan cuisine.
 
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Analyst Opinion

Moldova, a small landlocked country in Eastern Europe, has been experiencing a growing trend in the Online Food Delivery market.

Customer preferences:
Moldovan consumers have shown a preference for convenience and speed when it comes to ordering food. This has led to a surge in demand for online food delivery services, as they offer a quick and easy way to order food from the comfort of one's home or office. Additionally, the younger generation in Moldova has a higher level of disposable income and is more tech-savvy, which has contributed to the growth of the online food delivery market.

Trends in the market:
One of the main trends in the online food delivery market in Moldova is the dominance of local players. While international players such as UberEats and Glovo have entered the market, local players such as Menu.md and FoodPanda have a strong presence and are preferred by consumers. Furthermore, there has been a shift towards healthier food options, with many online food delivery platforms offering a wide range of healthy meals. Another trend is the rise of cloud kitchens, which are delivery-only restaurants that operate from a centralized kitchen and offer a variety of cuisines.

Local special circumstances:
Moldova has a unique cuisine that is a blend of Romanian, Russian, and Ukrainian influences. This has led to the development of a diverse food culture, with a wide range of dishes and flavors. Additionally, the country has a large agricultural sector, which means that many of the ingredients used in Moldovan cuisine are locally sourced. This has led to a focus on fresh and locally sourced ingredients in the online food delivery market.

Underlying macroeconomic factors:
Moldova is one of the poorest countries in Europe, with a GDP per capita that is significantly lower than the European Union average. However, the country has been experiencing steady economic growth in recent years, which has led to an increase in disposable income and consumer spending. Furthermore, the COVID-19 pandemic has accelerated the growth of the online food delivery market in Moldova, as consumers are more hesitant to dine out and prefer to order food online.

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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