Restaurant Delivery - Mongolia

  • Mongolia
  • The Restaurant Delivery market in Mongolia is projected to reach a revenue of US$1.76m by 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 9.42%, resulting in a projected market volume of US$2.76m by 2029.
  • The number of users in the Restaurant Delivery market is expected to amount to 75.2k users by 2029.
  • The user penetration rate is projected to be 1.6% in 2024 and is expected to reach 2.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$31.97.
  • In global comparison, United States is projected to generate the most revenue in the Restaurant Delivery market, with an estimated amount of US$36,950.00m in 2024.
  • However, it is worth noting that South Korea is expected to have the highest user penetration rate in the market, with a projected rate of 44.8%.
  • In Mongolia, the rise of restaurant delivery services has been driven by the increasing demand for convenient dining options in urban areas.
 
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Analyst Opinion

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

Customer preferences:
Mongolian customers are increasingly looking for convenience and time-saving options when it comes to food delivery. With the growth of urbanization and the busy lifestyle of people, restaurant delivery services have become a popular choice for many. Moreover, the younger generation in Mongolia is more tech-savvy and prefers to order food online through various food delivery apps.

Trends in the market:
The restaurant delivery market in Mongolia has witnessed a surge in the number of food delivery apps and services in recent years. This has led to increased competition among the players, resulting in improved service quality and options for the customers. Additionally, many restaurants have started to offer delivery services to cater to the growing demand. The trend of healthy food delivery has also gained popularity in Mongolia, with many customers opting for healthier food options.

Local special circumstances:
The harsh winter climate in Mongolia poses a challenge for the restaurant delivery market. During the winter season, the delivery services face difficulties in delivering food due to the snow and extreme cold weather. However, the market has adapted to this challenge by offering specialized winter delivery services, which include insulated delivery bags and thermal boxes to keep the food warm.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Mongolia can be attributed to the country's economic growth and increasing urbanization. The rise of the middle class and the increasing disposable income have led to a change in consumer behavior, with more people preferring to order food online. Furthermore, the COVID-19 pandemic has accelerated the growth of the restaurant delivery market in Mongolia, as more customers opt for contactless food delivery options.In conclusion, the restaurant delivery market in Mongolia is growing rapidly, driven by changing customer preferences and the increasing availability of food delivery services. Despite the challenges posed by the harsh winter climate, the market has adapted to cater to the growing demand. The underlying macroeconomic factors, such as economic growth and urbanization, are expected to continue to drive the growth of the restaurant delivery market in Mongolia in the coming years.

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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