Grocery Delivery - Central Asia

  • Central Asia
  • The Central Asian country can expect the Grocery Delivery market to generate a projected revenue of US$1,231.00m in 2024.
  • This figure is expected to experience a compound annual growth rate (CAGR) of 17.79% between 2024 and 2029, resulting in a projected market volume of US$2,791.00m by 2029.
  • Turning our attention to the Retail Delivery market, it is estimated to have a market volume of US$1,190.00m in 2024.
  • In a global context, it is worth noting that China is expected to generate the highest revenue, reaching US$266,000.00m in 2024.
  • Analyzing the average revenue per user (ARPU) in the Grocery Delivery market, it is projected to amount to US$145.20 in 2024.
  • Looking ahead, the number of users in this market is expected to reach 12.2m users by 2029.
  • Lastly, user penetration in the Grocery Delivery market is estimated to be at 10.7% in 2024.
  • In Central Asia, the grocery delivery market is rapidly expanding as consumers seek convenience and safety during the ongoing pandemic.
 
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Analyst Opinion

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

Customer preferences:
Central Asia has a large population of busy individuals who lack the time to shop for groceries in person. As a result, there has been an increasing demand for grocery delivery services. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping, including grocery delivery, as people seek to minimize their exposure to the virus.

Trends in the market:
Kazakhstan has the largest grocery delivery market in Central Asia, with several companies offering delivery services. The market has become increasingly competitive, with new players entering the market and existing players expanding their services. In Uzbekistan, the grocery delivery market is still in its early stages, but there has been a noticeable increase in demand in recent years. In Turkmenistan, the market is largely underdeveloped due to limited internet access and a lack of infrastructure.

Local special circumstances:
In Kazakhstan, the government's push towards digitization has helped to create an environment conducive to the growth of the grocery delivery market. Additionally, the country's large urban population has contributed to the demand for delivery services. In Uzbekistan, the government's recent efforts to liberalize the economy have led to an increase in foreign investment, which has helped to spur the growth of the grocery delivery market. However, the market is still largely cash-based, which presents a challenge for online payment systems.

Underlying macroeconomic factors:
The economies of Central Asia are growing, with increasing levels of disposable income. This has led to a rise in consumer spending, including spending on groceries. Additionally, the region's young population is tech-savvy and comfortable with online shopping, which has helped to drive the growth of the grocery delivery market. However, there are still challenges to be addressed, such as improving internet infrastructure and increasing consumer trust in online payment systems.

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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