Restaurant Delivery - Kazakhstan

Kazakhstan

Highlights

The projected revenue in the Restaurant Delivery market of Kazakhstan is expected to reach US$22.52m by 2024.
This indicates an annual growth rate (CAGR 2024-2029) of 3.55%, resulting in a projected market volume of US$26.81m by 2029.
Furthermore, the number of users in the Restaurant Delivery market is expected to reach 823.0k users by 2029.
The user penetration rate, which currently stands at 3.6% in 2024, is anticipated to reach 3.9% by 2029.
The average revenue per user (ARPU) is projected to be US$31.80 in Kazakhstan.
In a global comparison, United States will generate the highest revenue, amounting to US$36.95bn in 2024.
Additionally, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
The restaurant delivery market in Kazakhstan is experiencing a surge in demand due to the growing urban population and increasing preference for convenience.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

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

Customer preferences: Kazakhstanis are increasingly opting for the convenience of having their meals delivered to their doorstep. This trend is particularly popular among the younger generation who value time and convenience. Additionally, the COVID-19 pandemic has accelerated the adoption of restaurant delivery services as more people are staying at home and avoiding crowded places.

Trends in the market: The restaurant delivery market in Kazakhstan is becoming increasingly competitive with the entry of new players. While traditional food delivery companies continue to dominate the market, new players are emerging, offering unique and specialized services. For instance, some companies are partnering with local restaurants to offer exclusive menus, while others are focusing on delivering healthy and organic meals.

Local special circumstances: Kazakhstan has a rich culinary tradition with a diverse range of dishes that reflect the country's nomadic heritage. This has led to the popularity of local cuisine, with Kazakhstani customers preferring to order traditional dishes such as beshbarmak, plov, and shashlik. Additionally, the country's large expat community has led to an increase in demand for international cuisine, with Chinese, Korean, and Italian food being particularly popular.

Underlying macroeconomic factors: Kazakhstan's growing middle class and rising disposable incomes are driving the growth of the restaurant delivery market. Additionally, the country's urbanization trend is contributing to the growth of the market, with more people living in cities and working long hours, leading to a greater demand for convenient meal delivery services. The government's efforts to improve the country's transportation infrastructure is also contributing to the growth of the market, making it easier and faster for delivery companies to reach customers.

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.