Meal Delivery - CIS

  • CIS
  • The Meal Delivery market in the CIS region is expected to generate a revenue of US$3.20bn by 2024.
  • Furthermore, it is projected to experience an annual growth rate (CAGR 2024-2029) of 5.94%, leading to a market volume of US$4.27bn by 2029.
  • In terms of the Platform Deliverymarket, it is estimated to reach a market volume of US$2.20bn in 2024.
  • Comparatively, China is anticipated to generate the highest revenue in the global market, amounting to US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to reach US$88.32 in 2024.
  • As for the number of users, it is expected to reach 49.0m users by 2029.
  • The user penetration rate in the Meal Delivery market is projected to be 14.9% in 2024.
  • In the CIS market, the trend in meal delivery services is driven by the increasing demand for convenience and time-saving solutions in urban areas.
 
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Analyst Opinion

Meal delivery has become increasingly popular in the CIS region, with a growing number of consumers opting for the convenience of having their meals delivered to their doorstep.

Customer preferences:
One of the key reasons for the growth of the meal delivery market in CIS is the changing lifestyle of consumers. With busy work schedules and a greater emphasis on work-life balance, consumers are looking for quick and easy meal options that do not require them to spend time cooking or going out to eat. Additionally, the COVID-19 pandemic has led to an increase in demand for meal delivery services as consumers are hesitant to dine out in public places.

Trends in the market:
The meal delivery market in CIS is highly competitive, with a number of players vying for market share. One of the key trends in the market is the emergence of local players that cater to the specific tastes and preferences of consumers in the region. These local players have an advantage over international players as they have a better understanding of local tastes and can tailor their offerings accordingly.Another trend in the market is the increasing adoption of technology to improve the delivery experience. Many players in the market are leveraging technology to improve delivery times, track orders in real-time, and provide customers with a seamless experience. This has become increasingly important as consumers have come to expect fast and efficient delivery.

Local special circumstances:
One of the unique aspects of the meal delivery market in CIS is the diversity of cuisines on offer. The region has a rich culinary history and consumers are increasingly looking for authentic local cuisine delivered to their doorstep. This has led to the emergence of local players that specialize in specific cuisines, such as Georgian or Uzbek cuisine.

Underlying macroeconomic factors:
The meal delivery market in CIS is also influenced by macroeconomic factors such as GDP growth, inflation, and unemployment rates. As the region continues to develop and become more prosperous, consumers are more willing to spend money on convenience and luxury items such as meal delivery. Additionally, the COVID-19 pandemic has had a significant impact on the economy, leading to increased unemployment rates and a greater emphasis on cost-saving measures. This has led to a greater demand for affordable meal delivery options.

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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