Online Food Delivery - Madagascar

  • Madagascar
  • The Online Food Delivery market in Madagascar is projected to reach a revenue of US$21.79m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 18.03%, resulting in a projected market volume of US$49.92m by 2029.
  • In the Grocery Delivery market of Madagascar, a revenue growth of 32.4% is expected in 2025.
  • The market has a projected market volume of US$17.99m in 2024.
  • In global comparison, China is expected to generate the most revenue in the Online Food Delivery market, reaching US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market of Madagascar is projected to amount to US$12.51 in 2024.
  • In the Grocery Delivery market of Madagascar, the number of users is expected to amount to 6.0m users by 2029.
  • The user penetration in this market will be at 10.5% in 2024.
  • Madagascar's online food delivery market is experiencing rapid growth as consumers embrace the convenience of ordering meals from their favorite local restaurants.
 
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Analyst Opinion

The Online Food Delivery market in Madagascar has been steadily growing in recent years, with more and more consumers opting for the convenience of having meals delivered to their doorstep.

Customer preferences:
Madagascar's population is predominantly young, with a median age of 19 years old. This demographic is tech-savvy and increasingly reliant on smartphones for their daily needs. As a result, online food delivery has become an attractive option for busy students and professionals who value convenience and time-saving.

Trends in the market:
The market for online food delivery in Madagascar is still in its early stages, but it is growing rapidly. The major players in the market are international companies like Uber Eats, which entered the market in 2018, and local startups like Ndao Delivery and Aina Gasy. These companies are competing fiercely for market share by offering competitive pricing, fast delivery times, and a wide range of food options.

Local special circumstances:
Madagascar is a country with a rich culinary tradition, and this is reflected in the diverse range of food options available for delivery. Local specialties like zebu steak, romazava, and ravitoto are popular choices for customers, and many restaurants have adapted their menus to cater to the online delivery market. However, the infrastructure for delivery can be challenging, with poor road conditions and limited address systems in some areas.

Underlying macroeconomic factors:
Madagascar is one of the poorest countries in the world, with a GDP per capita of just over $400. Despite this, the country has experienced steady economic growth in recent years, driven by the agriculture and tourism sectors. The rise of online food delivery can be seen as a reflection of this growth, as more people have disposable income to spend on non-essential items. However, the market is still largely concentrated in urban areas, and there is a significant portion of the population that does not have access to the internet or smartphones.

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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