Grocery Delivery - Cambodia

  • Cambodia
  • The projected revenue in the Grocery Delivery market in Cambodia is expected to reach US$140.90m in 2024.
  • It is anticipated that the market will experience an annual growth rate of 18.10% (CAGR 2024-2029), resulting in a projected market volume of US$323.70m by 2029.
  • In the Retail Delivery market, the projected market volume is estimated to be US$140.90m in 2024.
  • When compared globally, China is expected to generate the highest revenue in the market, reaching US$266,000.00m in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to amount to US$81.36 in 2024.
  • Furthermore, the number of users in the Grocery Delivery market is expected to reach 2.6m users by 2029.
  • The user penetration in the Grocery Delivery market is forecasted to be 10.1% in 2024.
  • It is worth noting that these figures and projections are specific to the Grocery Delivery market in Cambodia.
  • In Cambodia, the grocery delivery market is experiencing rapid growth due to the increasing demand for convenient and contactless shopping options.
 
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Analyst Opinion

The convenience of online shopping has made a significant impact on the retail industry in Cambodia.

Customer preferences:
Cambodian consumers are increasingly turning to online grocery delivery services due to the convenience and time-saving benefits. With the rise of e-commerce platforms, consumers are now able to purchase groceries from the comfort of their own homes and have them delivered to their doorstep. This is particularly appealing to busy city dwellers who are looking for ways to save time and avoid the hassle of navigating through crowded markets.

Trends in the market:
The grocery delivery market in Cambodia is still in its early stages, but it is expected to grow rapidly in the coming years. One of the key trends in the market is the emergence of new players, both local and international, who are entering the market to meet the growing demand for online grocery delivery services. Another trend is the increasing popularity of mobile applications for online shopping, which are becoming more user-friendly and accessible to a wider audience.

Local special circumstances:
Cambodia has a young and tech-savvy population, which is driving the growth of online shopping in the country. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping as consumers look for safer ways to purchase goods. However, there are still challenges that need to be addressed, such as the lack of infrastructure and logistics capabilities in some areas of the country.

Underlying macroeconomic factors:
The Cambodian economy has been growing steadily over the past few years, with a focus on developing the country's infrastructure and attracting foreign investment. This has led to an increase in disposable income and a growing middle class, which is driving demand for online shopping. Additionally, the government has been implementing policies to promote the growth of the e-commerce industry, such as reducing taxes and improving logistics infrastructure.

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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