Market Insights Digital Online Food Delivery

Meal Delivery - Mongolia

Mongolia

The Meal Delivery market in Mongolia is expected to see significant growth in the coming years.
According to projections, the market's revenue is set to reach US$2,062.00k by 2024.
This translates to an annual growth rate of 10.39% (CAGR 2024-2028), resulting in a projected market volume of US$3,062.00k by 2028.
In terms of the Restaurant Deliverymarket, in Mongolia is projected to reach a market volume of US$1,755.00k by 2024.
However, in a global comparison, in China is expected to generate the highest revenue, reaching US$182,900.00m in the same year.
The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$22.68 in 2024.
This indicates the amount of revenue generated per individual user in Mongolia.
Furthermore, the number of users in the Meal Delivery market is expected to reach 124.6k users by 2028, showcasing the growing popularity and adoption of meal delivery services in the country.
Lastly, user penetration in the Meal Delivery market is estimated to be 2.6% in 2024, illustrating the percentage of the population that utilizes meal delivery services in Mongolia.
The meal delivery market in Mongolia is experiencing a surge in demand due to the growing urban population and busy lifestyles.

Market

Region

Region comparison

Currency

Analyst Opinion

Since Pizza Hut launched the first-ever pizza online order back in 1994, online food delivery has become a billion-dollar business. Aggregator platforms like Takeaway.com or Delivery Hero have expanded all over the world through the sale of reliable infrastructure solutions and attractive commission rates for restaurants. Platform-to-Consumer Delivery companies like Deliveroo or Uber Eats operate a more cost intensive business model, but are taking care of the whole delivery logistics. Those companies have also gained track over the last years, especially in densely populated regions. Both models will likely converge with stronger competition between in-house and third-party solutions.

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.