Meal Delivery - Kazakhstan

  • Kazakhstan
  • The Meal Delivery market in Kazakhstan is expected to generate a revenue of US$44.62m in 2024.
  • This projection indicates an annual growth rate (CAGR 2024-2029) of 7.74%, resulting in a projected market volume of US$64.79m by 2029.
  • In terms of the Platform Deliverymarket, in Kazakhstan is projected to reach a market volume of US$22.52m in 2024.
  • However, when compared globally, China is expected to generate the highest revenue, amounting to US$184,500.00m in the same year.
  • The average revenue per user (ARPU) in the Meal Delivery market in Kazakhstan is projected to be US$32.60 in 2024.
  • Furthermore, the number of users in the Meal Delivery market is expected to reach 2.0m users by 2029.
  • In terms of user penetration, in Kazakhstan is projected to have a rate of 6.9% in the Meal Delivery market in 2024.
  • Despite the growing popularity of meal delivery services in Kazakhstan, traditional home-cooked meals still dominate the market.
 
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Analyst Opinion

Meal delivery services have been on the rise in Kazakhstan, with an increasing number of consumers opting for the convenience of having food delivered to their doorstep. This trend is largely driven by the busy lifestyles of consumers, who are looking for quick and easy meal options that fit into their schedules.

Customer preferences:
In Kazakhstan, consumers are increasingly looking for healthy and nutritious meal options, which has led to a rise in demand for meal delivery services that offer healthy and organic food choices. Additionally, consumers are also looking for meal delivery services that offer a wide variety of cuisines, including both local and international options.

Trends in the market:
One of the key trends in the meal delivery market in Kazakhstan is the use of technology to improve the customer experience. Many meal delivery services now offer mobile apps that allow customers to easily place orders and track their deliveries in real-time. Additionally, some companies are also using artificial intelligence and machine learning to personalize the customer experience and offer tailored meal recommendations based on the customer’s preferences.Another trend in the market is the rise of meal delivery services that cater to specific dietary needs, such as vegan, gluten-free, and keto options. This trend is largely driven by the increasing number of consumers who are looking for healthy and specialized meal options.

Local special circumstances:
Kazakhstan has a diverse culinary culture, with a mix of Central Asian, Russian, and European influences. This has led to a wide variety of meal delivery options that cater to different tastes and preferences. Additionally, the country has a large population of expats and foreign workers, who are looking for meal delivery services that offer international cuisine options.

Underlying macroeconomic factors:
The meal delivery market in Kazakhstan is largely driven by the country’s growing middle class and increasing urbanization. As more consumers move to cities and have busy lifestyles, the demand for convenient meal options is expected to continue to rise. Additionally, the COVID-19 pandemic has also accelerated the growth of the meal delivery market, as more consumers are opting for contactless 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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