Meal Delivery - Guinea

  • Guinea
  • Revenue in Guinea's Meal Delivery market is projected to reach US$2.13m in 2024.
  • The market is expected to show an annual growth rate (CAGR 2024-2029) of 9.93%, resulting in a projected market volume of US$3.42m by 2029.
  • The Platform Deliverymarket in Guinea has a projected market volume of US$1.24m in 2024.
  • In global comparison, China is expected to generate the most revenue, reaching US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in Guinea's Meal Delivery market is projected to amount to US$22.02 in 2024.
  • The number of users in the Meal Delivery market is expected to amount to 135.8k users by 2029.
  • User penetration in Guinea's Meal Delivery market will be at 0.7% in 2024.
  • Despite its growing popularity in other countries, meal delivery services have yet to gain traction in Guinea due to limited internet access and a strong preference for home-cooked meals.
 
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Analyst Opinion

Meal delivery services have become increasingly popular in Guinea, with a growing number of consumers opting for the convenience of having meals delivered to their doorstep.

Customer preferences:
In Guinea, customers are increasingly looking for a convenient and affordable way to get their meals. With the rise of urbanization and the growing number of people with busy lifestyles, meal delivery services offer a quick and easy solution for those who don't have the time or energy to cook. Additionally, there is a growing demand for healthy and nutritious meals, as more people become health-conscious and aware of the importance of a balanced diet.

Trends in the market:
The meal delivery market in Guinea is growing rapidly, with new players entering the market and existing players expanding their services. One of the key trends in the market is the adoption of technology, with many companies offering online ordering and delivery tracking systems. Another trend is the focus on healthy and sustainable food options, with many companies offering organic and locally sourced ingredients. Additionally, there is a growing trend towards meal kits and subscription services, which offer customers the convenience of pre-planned meals delivered on a regular basis.

Local special circumstances:
Guinea has a diverse culinary culture, with a mix of African, French, and Arabic influences. This has led to a variety of food options available for delivery, including traditional dishes such as jollof rice, fufu, and cassava leaf stew. Additionally, the country has a large Muslim population, which has led to the development of halal meal delivery services.

Underlying macroeconomic factors:
The growth of the meal delivery market in Guinea is being driven by several macroeconomic factors, including the rise of urbanization and the increasing number of people with busy lifestyles. Additionally, the country's growing middle class has more disposable income to spend on convenience services such as meal delivery. Finally, the COVID-19 pandemic has accelerated the growth of the market, as more people are staying at home and relying on delivery services for their meals.

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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