Platform Delivery - Gambia

Gambia

Highlights

The Platform Delivery market in Gambia is projected to reach a revenue of US$123.90k in 2024.
This market is expected to exhibit an annual growth rate (CAGR 2024-2029) of 13.98%, resulting in a projected market volume of US$238.40k by 2029.
By that year, the number of users in the Platform Delivery market is expected to amount to 15.5k users.
The user penetration rate, which is currently at 0.3% in 2024, is predicted to increase to 0.5% by 2029.
The average revenue per user (ARPU) is expected to be US$13.86.
In global comparison, China is anticipated to generate the highest revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Furthermore, China is projected to have the highest user penetration rate in the market, with a rate of 52.8%.
In Gambia, the platform delivery market is experiencing a surge in demand due to the increase in online shopping and food delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

As the demand for convenience and speed in the delivery of goods and services increases, the Platform Delivery market in Gambia is also experiencing growth.

Customer preferences: Gambian customers are increasingly seeking out faster and more convenient ways to receive goods and services. This has led to a rise in demand for platform delivery services, which offer quick and efficient delivery of goods and services directly to the customer's doorstep. Customers are also becoming more tech-savvy, with a growing number of people using smartphones and other digital devices to access platform delivery services.

Trends in the market: One trend in the Platform Delivery market in Gambia is the rise of local platform delivery services. These services are often more affordable and offer a more personalized experience than larger international platforms. Additionally, there has been an increase in partnerships between platform delivery companies and local businesses, which has helped to expand the range of goods and services available for delivery. Another trend is the growing popularity of contactless delivery options, which have become more important due to the COVID-19 pandemic.

Local special circumstances: Gambia is a small country with a relatively small population, which has led to some challenges for platform delivery companies. For example, the limited infrastructure and logistics networks in the country can make it difficult to provide efficient and reliable delivery services. Additionally, the low levels of internet penetration and digital literacy in some parts of the country can make it challenging to reach all potential customers.

Underlying macroeconomic factors: The Platform Delivery market in Gambia is influenced by a range of macroeconomic factors, including the country's GDP growth rate, inflation rate, and unemployment rate. The COVID-19 pandemic has also had a significant impact on the market, with many customers turning to platform delivery services as a way to avoid crowded public spaces. Additionally, the government's policies and regulations around e-commerce and platform delivery can also impact the market.

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.