Grocery Delivery - Mongolia

  • Mongolia
  • In 2024, the projected revenue in the Grocery Delivery market in Mongolia is expected to reach US$94.22m.
  • This market is also expected to show an annual growth rate (CAGR 2024-2029) of 18.56%, resulting in a projected market volume of US$220.70m by 2029.
  • Moving on to the Retail Delivery market, the projected market volume in Mongolia is US$94.22m in 2024.
  • When compared globally, China is expected to generate the highest revenue with US$266,000.00m in the same year.
  • Looking at the average revenue per user (ARPU) in the Grocery Delivery market, it is projected to be US$194.90 in Mongolia in 2024.
  • Additionally, the number of users in the Grocery Delivery market is expected to reach 727.0k users by 2029.
  • Lastly, the user penetration rate in the Grocery Delivery market in Mongolia is projected to be at 13.8% in 2024.
  • Despite its vast and rural landscape, Mongolia's grocery delivery market is rapidly growing, driven by increasing demand for convenience and access to fresh produce in remote areas.
 
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Analyst Opinion

Mongolia, known for its vast landscapes and nomadic culture, has seen a significant development in the grocery delivery market in recent years.

Customer preferences:
With the increase in urbanization and busy lifestyles, consumers in Mongolia are looking for more convenient ways to shop for groceries. Online grocery shopping and home delivery services have become popular among consumers who value time and convenience. Additionally, the COVID-19 pandemic has accelerated the adoption of online grocery shopping as consumers have become more cautious about going to physical stores.

Trends in the market:
The grocery delivery market in Mongolia has seen a surge in demand, with both local and international players entering the market. Delivery services are expanding their offerings beyond just groceries to include household items, personal care products, and even cooked meals. Furthermore, some delivery services are partnering with local farmers and producers to offer fresh and locally sourced products.

Local special circumstances:
Mongolia's geography and climate pose unique challenges for the grocery delivery market. The country's vast and sparsely populated areas make it difficult for delivery services to reach all customers. Additionally, Mongolia's harsh winters can make it challenging to deliver products on time, and the lack of proper infrastructure in some areas can further complicate the delivery process.

Underlying macroeconomic factors:
Mongolia's economy has been growing steadily, with a focus on diversifying its industries. The government has been promoting e-commerce and digitalization, which has created an environment conducive to the growth of the grocery delivery market. Additionally, the country's young and tech-savvy population is driving the demand for online services, including grocery delivery.In conclusion, the grocery delivery market in Mongolia is still in its early stages but has significant potential for growth. As more players enter the market, competition will increase, leading to improved services and offerings for consumers. However, delivery services will need to overcome the unique challenges posed by Mongolia's geography and climate to reach all customers.

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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