Retail Delivery - Guinea

  • Guinea
  • The Reail Delivery market in Guinea is projected to reach a revenue of US$121.30m in 2025.
  • It is expected to exhibit an annual growth rate (CAGR 2025-2029) of 18.56%, resulting in a projected market volume of US$239.70m by 2029.
  • Additionally, the number of users in the Reail Delivery market is expected to reach 1.8m users by 2029.
  • The user penetration rate is anticipated to be 7.8% in 2025 and is projected to rise to 10.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$103.90.
  • In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, reaching US$259,100.00m in 2025.
  • On the other hand, United States boasts the highest projected user penetration rate in the Reail Delivery market, with a rate of 32.5%.
  • Despite the challenges faced by Guinea's retail delivery market, there has been a notable increase in the adoption of e-commerce platforms.
 
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Analyst Opinion

The Retail Delivery market in Guinea is experiencing a shift in customer preferences and a surge in demand due to local special circumstances.

Customer preferences:
Guinea's young population is increasingly tech-savvy and prefers the convenience of online shopping. As a result, there is a growing demand for e-commerce platforms that offer a wide range of products at competitive prices. Customers also place a high value on fast and reliable delivery services, as they often face challenges in accessing physical stores due to traffic congestion and poor infrastructure.

Trends in the market:
The Retail Delivery market in Guinea is witnessing a surge in demand for last-mile delivery services, as more customers are opting for online shopping. Delivery companies are responding by expanding their fleets and investing in technology to improve their delivery times and accuracy. There is also a trend towards offering flexible delivery options, such as same-day delivery and pick-up points, to cater to the diverse needs of customers.

Local special circumstances:
Guinea's economy is heavily reliant on agriculture, which is susceptible to natural disasters and climate change. This has led to a volatile economic environment, with fluctuating commodity prices and limited access to credit. As a result, there is a growing informal sector, where small businesses rely on cash transactions and face challenges in accessing formal banking services. This has created opportunities for delivery companies to offer cash-on-delivery services and facilitate e-commerce transactions for small businesses.

Underlying macroeconomic factors:
Guinea's economy is projected to grow steadily in the coming years, driven by investments in infrastructure and natural resource development. This is expected to increase consumer spending and drive demand for retail delivery services. However, the country still faces challenges in improving its infrastructure and reducing poverty, which may limit the growth potential of the retail delivery market. Additionally, the political environment remains unstable, which may impact investor confidence and hinder the growth of the market.

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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