Retail Delivery - Gambia

Gambia

Highlights

The Reail Delivery market in Gambia is anticipated to generate a revenue of US$29.50m in 2024.
It is projected to experience a compound annual growth rate (CAGR) of 3.12% from 2024 to 2029, resulting in a market volume of US$34.40m by 2029.
Furthermore, the number of users in the Reail Delivery market is expected to reach 395.1k users by 2029.
In terms of user penetration, it is predicted to be 8.5% in 2024 and is expected to increase to 12.4% by 2029.
The average revenue per user (ARPU) is estimated to be US$122.60.
In a global context, United States is poised to generate the highest revenue in the Reail Delivery market, reaching US$195.40bn in 2024.
On the other hand, United States is expected to have the highest user penetration rate, with a projected rate of 30.4%.
Despite challenges in infrastructure, the retail delivery market in Gambia is rapidly growing due to the increasing use of e-commerce platforms.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Gambia has been experiencing significant growth in recent years, driven by a combination of factors including changing customer preferences and local special circumstances.

Customer preferences: Customers in Gambia have been increasingly turning to e-commerce and online shopping in recent years, with a growing number of retailers offering online delivery services. This trend has been driven by a number of factors, including the convenience and flexibility of online shopping, as well as the wider availability of internet access and mobile devices.

Trends in the market: One of the key trends in the Retail Delivery market in Gambia has been the growth of last-mile delivery services, which are designed to bring products directly to customers' homes or workplaces. This trend has been driven by the increasing demand for convenience and speed, as well as the growing popularity of online shopping.Another key trend in the market has been the rise of same-day delivery services, which are designed to provide customers with even faster delivery times. This trend has been driven by the increasing competition between retailers, as well as the growing expectations of customers who are looking for faster and more convenient delivery options.

Local special circumstances: One of the key local special circumstances in Gambia is the relatively low level of formal retail infrastructure in the country. This has created significant opportunities for retailers who are able to offer innovative and flexible delivery solutions, particularly in areas where traditional retail options are limited.Another local special circumstance is the high level of mobile phone penetration in Gambia, which has made it easier for retailers to reach customers and offer them a range of delivery options. This has also created opportunities for retailers to offer mobile-based payment solutions, which can help to increase the speed and efficiency of the delivery process.

Underlying macroeconomic factors: The growth of the Retail Delivery market in Gambia has been supported by a number of underlying macroeconomic factors, including the country's relatively stable political environment and its growing middle class. These factors have helped to create a more favorable business environment for retailers, and have encouraged the development of new delivery solutions and services.Another key macroeconomic factor is the growing importance of e-commerce and online shopping in the global economy, which has created significant opportunities for retailers who are able to offer innovative and flexible delivery solutions. This trend is expected to continue in the coming years, as more and more customers turn to online shopping and retailers look for new ways to meet their needs.

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.