Online Food Delivery - Haiti

  • Haiti
  • The Online Food Delivery market in Haiti is projected to reach a revenue of US$329.60m in 2024.
  • Thismarketis expected to demonstrate an annual growth rate (CAGR 2024-2029) of -0.88%, resulting in a projected market volume of US$315.40m by 2029.
  • In the Meal Delivery market, a revenue growth of 5.4% is anticipated in 2025.
  • The projected market volume for this market in Haiti is US$328.20m in 2024.
  • In comparison to other countries globally, China is expected to generate the highest revenue, amounting to US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$178.70 in 2024.
  • Furthermore, in the Grocery Delivery market, the number of users is expected to reach 2.7m users by 2029.
  • The user penetration in thismarketis estimated to be at 15.5% in 2024.
  • Despite challenges in infrastructure, online food delivery in Haiti is booming, offering convenience and expanding options for customers.
 
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Analyst Opinion

Online food delivery has been growing exponentially in Haiti, with a significant increase in demand in recent years.

Customer preferences:
The Haitian population has been increasingly adopting the use of technology in their daily lives, and this has resulted in a significant shift towards online food delivery. The convenience of ordering food online and having it delivered to their doorstep has become a popular choice for many Haitians, especially those living in urban areas. Moreover, the younger generation, who are more tech-savvy, prefer to order food online rather than going to restaurants.

Trends in the market:
The online food delivery market in Haiti has seen a surge in the number of players entering the market. Many local and international companies have started offering online food delivery services, which has increased competition in the market. This has resulted in improved services and better pricing for customers. Additionally, the COVID-19 pandemic has further accelerated the growth of the online food delivery market, as more people are opting for contactless food delivery.

Local special circumstances:
Haiti is a country with a high poverty rate, and the majority of the population lives on less than $2 a day. However, despite this, the online food delivery market has seen significant growth in the country. This can be attributed to the fact that the middle class in Haiti is growing, and they have more disposable income to spend on food delivery services. Additionally, the high crime rate in the country has made it unsafe for people to go out at night, which has further increased the demand for online food delivery services.

Underlying macroeconomic factors:
Haiti is a developing country with a struggling economy, and the online food delivery market has provided employment opportunities for many Haitians. Many of the companies offering online food delivery services have created jobs for delivery drivers and other staff, which has had a positive impact on the economy. Moreover, the growth of the online food delivery market has encouraged many restaurants to expand their businesses and offer online ordering services, which has resulted in increased revenue for these businesses.

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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