Restaurant Delivery - Ukraine

  • Ukraine
  • The Restaurant Delivery market in Ukraine is projected to reach revenue of US$98.27m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 13.68%, resulting in a projected market volume of US$186.60m by 2029.
  • By 2029, the number of users in the Restaurant Delivery market is expected to amount to 1.1m users.
  • The user penetration, which is the proportion of the population using these services, will be 1.6% in 2024 and is expected to increase to 2.8% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$163.80.
  • In global comparison, United States is projected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • On the other hand, South Korea is expected to have the highest user penetration rate of 53.1% in the Restaurant Delivery market.
  • The restaurant delivery market in Ukraine has seen significant growth in recent years, driven by the increasing popularity of online food ordering platforms such as Glovo and Raketa.
 
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Analyst Opinion

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

Customer preferences:
Ukrainian consumers are increasingly looking for convenience and speed when it comes to food delivery. With busy lifestyles and longer working hours, many consumers are opting for delivery services that provide them with quick and easy access to food from their favorite restaurants. Additionally, the COVID-19 pandemic has accelerated the demand for contactless delivery options, further fueling the growth of the restaurant delivery market.

Trends in the market:
One of the key trends in the Ukrainian restaurant delivery market is the rise of online ordering platforms. These platforms offer a wide range of restaurant options and provide consumers with the ability to easily compare prices and menus. Another trend is the increasing number of restaurants that are partnering with delivery services to expand their reach and customer base. Additionally, there is a growing trend towards healthier food options, with many delivery services now offering vegetarian and vegan options.

Local special circumstances:
Ukraine has a rich culinary tradition, with a diverse range of regional cuisines. This has led to a highly competitive restaurant industry, with many local and regional players vying for market share. Additionally, the country's large and growing urban population has contributed to the growth of the restaurant delivery market, as more and more consumers seek out convenient and affordable food options.

Underlying macroeconomic factors:
Ukraine's economy has been growing steadily in recent years, with rising incomes and a growing middle class. This has led to increased consumer spending on food and dining out, which has in turn fueled the growth of the restaurant delivery market. Additionally, the country's relatively low labor costs have made it an attractive destination for delivery service providers, who are able to offer competitive pricing to consumers.

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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