Market Insights eCommerce Online Food Delivery

Grocery Delivery - Gabon

Gabon

The Grocery Delivery market in Gabon is expected to witness substantial growth in the coming years.
According to projections, the revenue in this market is estimated to reach US$45.93m by 2024.
Furthermore, it is anticipated that the market will exhibit a compound annual growth rate (CAGR) of 5.12% between 2024 and 2029, resulting in a projected market volume of US$58.96m by the end of 2029.
In comparison, the Retail Delivery market is projected to have a market volume of US$45.93m in 2024.
However, it is important to note that the highest revenue in this market is expected to be generated China, with an estimated figure of US$266.00bn in 2024.
When focusing on the Grocery Delivery market in Gabon, the average revenue per user (ARPU) is projected to be approximately US$0.44k in 2024.
Moreover, it is expected that the number of users in this market will reach 148.7k users by 2029.
In terms of user penetration, it is estimated to be at 4.2% in 2024.
Gabon is experiencing a surge in demand for grocery delivery services, driven by the country's growing urban population and increasing reliance on convenient online shopping options.

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Analyst Opinion

The demand for grocery delivery services in Gabon has been on the rise in recent years.

Customer preferences: Gabonese consumers are increasingly turning to online grocery shopping and delivery services to save time and avoid the hassle of physical shopping. The convenience of having groceries delivered to their doorstep is a major factor driving the growth of the grocery delivery market in Gabon.

Trends in the market: One of the major trends in the Gabonese grocery delivery market is the entry of international players. Several global players have entered the market in recent years, offering a wide range of products at competitive prices. This has led to increased competition and innovation in the market, with local players also stepping up their game to remain relevant.Another trend is the increasing popularity of mobile apps for grocery delivery. Many consumers in Gabon now use mobile apps to order groceries online, making the process faster and more convenient. This has led to a surge in demand for mobile app-based grocery delivery services.

Local special circumstances: One of the unique challenges facing the grocery delivery market in Gabon is the country's poor road infrastructure. Many parts of the country are inaccessible by road, making it difficult to deliver groceries to certain areas. This has led to the emergence of innovative delivery solutions such as drones and boats, which are used to deliver groceries to remote areas.

Underlying macroeconomic factors: Gabon's growing middle class is a major driver of the grocery delivery market in the country. As more people move into the middle class, they are increasingly looking for convenient and affordable ways to shop for groceries. Additionally, the COVID-19 pandemic has accelerated the growth of the grocery delivery market in Gabon, as more people are choosing to shop online to avoid exposure to the virus.

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.