Meal Delivery - Central Asia

  • Central Asia
  • The Meal Delivery market in Central Asia is projected to reach a revenue of US$62.73m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 7.84%, resulting in a projected market volume of US$91.50m by 2029.
  • In the Central Asian region, the Platform Deliverymarket is expected to have a market volume of US$33.33m in 2024.
  • Compared to other countries globally, China is forecasted to generate the highest revenue in the Meal Delivery market, amounting to US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Central Asia is projected to be US$25.53 in 2024.
  • By 2029, the number of users in the Meal Delivery market is expected to reach 3.5m users.
  • The user penetration rate in the Central Asian Meal Delivery market is estimated to be 3.1% in 2024.
  • Central Asia's meal delivery market is experiencing rapid growth, driven by an increasing urban population and a growing demand for convenient and healthy food options.
 
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Analyst Opinion

The Meal Delivery market in Central Asia has been experiencing significant growth in recent years, driven by various factors such as changing customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
In Central Asia, there is a growing demand for healthy and convenient food options, especially among young professionals and students who have busy schedules. Meal delivery services are increasingly popular as they offer a wide range of cuisines and dietary options that cater to individual preferences. Moreover, the COVID-19 pandemic has also accelerated the adoption of meal delivery services as people are encouraged to stay at home and avoid crowded places.

Trends in the market:
In Kazakhstan, the meal delivery market has been growing rapidly, with a number of local and international players entering the market. The demand for meal delivery services has been driven by the increasing number of people who are working from home and looking for convenient meal options. In Uzbekistan, the meal delivery market is still in its early stages, but it is expected to grow rapidly in the coming years as the country continues to undergo economic reforms and modernization.

Local special circumstances:
Central Asia is a region with diverse cultures and cuisines, and this has led to the emergence of local meal delivery services that cater to specific tastes and preferences. For example, in Kazakhstan, there are meal delivery services that specialize in traditional Kazakh cuisine, while in Uzbekistan, there are services that offer Uzbek cuisine. Additionally, the harsh winter climate in Central Asia has also contributed to the growth of meal delivery services, as people prefer to stay indoors and order food instead of going out.

Underlying macroeconomic factors:
The economic growth of Central Asia has been a major driver of the meal delivery market, as rising incomes and urbanization have led to changes in consumer behavior. Moreover, the region's young and tech-savvy population has also contributed to the growth of meal delivery services, as they are more likely to use mobile apps to order food. However, the region's underdeveloped logistics infrastructure and regulatory environment remain major challenges for the meal delivery market, as companies struggle to provide timely and reliable services to customers.

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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