Platform Delivery - Sierra Leone

Sierra Leone

Highlights

The Platform Delivery market in Sierra Leone is projected to reach a revenue of US$411.90k in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 12.28%, resulting in a projected market volume of US$735.00k by 2029.
In Sierra Leone's Platform Delivery market, the number of users is expected to amount to 49.6k users by 2029.
The user penetration in Sierra Leone is predicted to be 0.3% in 2024 and is expected to increase to 0.5% by 2029.
The average revenue per user (ARPU) is estimated to be US$14.09.
In global comparison, China is expected to generate the most revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Additionally, China has the highest projected user penetration rate of 52.8%.
Sierra Leone has seen a significant increase in the adoption of platform delivery services, with local businesses leveraging technology to reach a wider customer base.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Sierra Leone, a country in West Africa, is experiencing growth in the Platform Delivery market. The market has been developing due to various factors, including customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Sierra Leoneans are increasingly using online platforms to order food, groceries, and other products. The convenience of having items delivered to their doorstep has made platform delivery services popular in the country. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping and delivery services, as people try to limit physical interactions.

Trends in the market: The Platform Delivery market in Sierra Leone is growing rapidly, with more players entering the market. This can be attributed to the high demand for delivery services and the low barriers to entry. However, there is a lack of regulation in the market, which has led to concerns about safety and quality control. As a result, some customers are hesitant to use delivery services, which could limit the growth of the market.

Local special circumstances: Sierra Leone faces unique challenges when it comes to delivery services. The country has poor road infrastructure, which can make it difficult for delivery companies to reach certain areas. Additionally, there is a lack of reliable addressing systems, which can lead to items being delivered to the wrong location. These challenges have led to the development of innovative solutions, such as using landmarks and phone numbers to identify delivery locations.

Underlying macroeconomic factors: Sierra Leone has a young and growing population, which is increasingly connected to the internet. This has created a large market for online services, including platform delivery. Additionally, the country is experiencing economic growth, which has led to an increase in disposable income. This has made delivery services more affordable for consumers and has contributed to the growth of the market.In conclusion, the Platform Delivery market in Sierra Leone is developing due to customer preferences, local special circumstances, and underlying macroeconomic factors. While the market is growing rapidly, there are challenges that need to be addressed, such as regulation and infrastructure. However, with the right policies and investments, the market has the potential to continue growing and improving the lives of Sierra Leoneans.

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.