Grocery Delivery - Cameroon

  • Cameroon
  • The Grocery Delivery market in Cameroon is expected to reach a revenue of US$69.31m in 2024.
  • With a projected annual growth rate (CAGR 2024-2029) of 11.36%, the market volume is anticipated to reach US$118.70m by 2029.
  • In comparison, the Retail Delivery market is projected to have a market volume of US$69.31m in 2024.
  • Among all countries, China is expected to generate the highest revenue in the Grocery Delivery market, with US$266,000.00m in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$24.56 in 2024.
  • By 2029, the number of users in the Grocery Delivery market is expected to reach 4.3m users.
  • The user penetration in the Grocery Delivery market will be at 9.6% in 2024.
  • Cameroon's grocery delivery market is experiencing rapid growth due to increasing urbanization and demand for convenience.
 
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Analyst Opinion

The demand for grocery delivery services in Cameroon has been on the rise in recent years, driven by several factors that have significantly impacted the market.

Customer preferences:
Cameroonians have become increasingly reliant on technology, and this has led to a growing preference for online shopping and delivery services, including groceries. The convenience of having groceries delivered to their doorstep has become an attractive option for many customers, especially those with busy schedules. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping and delivery services, as customers seek to limit their exposure to the virus.

Trends in the market:
One of the major trends in the grocery delivery market in Cameroon is the entry of international players such as Jumia and Glovo. These companies have invested heavily in the market, offering a wide range of products and services to customers. Local players such as Afrimarket and Njorku have also emerged, providing stiff competition to the international players. Another trend is the increasing popularity of mobile payments, which has made it easier for customers to pay for their groceries online.

Local special circumstances:
Cameroon has a large informal sector, which has made it difficult for traditional retailers to penetrate the market. However, the rise of e-commerce has provided an opportunity for retailers to reach customers in remote areas, where traditional retail infrastructure is lacking. Additionally, the country has a young and tech-savvy population, which has been quick to adopt new technologies and services.

Underlying macroeconomic factors:
Cameroon has a growing middle class, which has increased demand for high-quality products and services, including groceries. The country has also experienced significant urbanization in recent years, with more people moving to cities in search of better opportunities. This has created a large market for grocery delivery services, as customers seek convenience and time-saving options. However, the market still faces challenges such as poor infrastructure and logistics, which can impact the delivery of goods to customers in remote areas.

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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