Restaurant Delivery - Azerbaijan

Azerbaijan

Highlights

The Restaurant Delivery market in Azerbaijan is projected to reach a revenue of US$5.23m AZN in 2024.
This market is anticipated to experience an annual growth rate (CAGR 2024-2029) of 4.96%, resulting in a projected market volume of US$6.66m AZN by 2029.
Moreover, the number of users in the Restaurant Delivery market is expected to reach 168.6k users by 2029.
User penetration is predicted to be 1.4% in 2024 and is expected to increase to 1.6% by 2029.
Additionally, the average revenue per user (ARPU) is projected to be US$35.46 AZN.
In comparison to other countries, United States is expected to generate the highest revenue in the Restaurant Delivery market, amounting to US$36.95bn AZN in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate in the Restaurant Delivery market, with a rate of 44.8%.
The restaurant delivery market in Azerbaijan has witnessed a surge in demand due to the convenience and time-saving it offers to consumers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

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

Customer preferences: Azerbaijani consumers are increasingly looking for convenience and time-saving options when it comes to food consumption. The rise of busy lifestyles and the growing number of working professionals have contributed to the demand for restaurant delivery services. Moreover, the younger population is more inclined towards ordering food online, as it provides them with a wide range of options and the convenience of ordering from anywhere.

Trends in the market: The restaurant delivery market in Azerbaijan has witnessed significant growth in recent years, with the emergence of several online food delivery platforms. The rise of these platforms has led to increased competition, and restaurants are now partnering with multiple platforms to reach a wider customer base. The market is also witnessing a shift towards healthier food options, with consumers becoming more health-conscious and demanding healthier meal choices.

Local special circumstances: Azerbaijan is a country with a rich culinary tradition, and the restaurant industry is an essential part of its culture. The country has a diverse cuisine, with traditional dishes like plov, dolma, and kebab being popular among locals and tourists alike. The restaurant delivery market in Azerbaijan caters to this diverse culinary landscape, providing customers with a wide range of options from traditional Azerbaijani dishes to international cuisine.

Underlying macroeconomic factors: The growth of the restaurant delivery market in Azerbaijan is also influenced by underlying macroeconomic factors. The country has a growing middle class, with rising disposable incomes and changing lifestyles. This has led to an increase in demand for restaurant delivery services, as consumers are willing to spend more on convenience and time-saving options. Moreover, the government's efforts to promote tourism in the country have also contributed to the growth of the restaurant industry and the restaurant delivery market.

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.