Restaurant Delivery - Tunisia

  • Tunisia
  • The Restaurant Delivery market in Tunisia is projected to reach a revenue of US$0.98m in 2024.
  • This is expected to show an annual growth rate of 6.62% (CAGR 2024-2029), resulting in a projected market volume of US$1.35m by 2029.
  • In Tunisia's Restaurant Delivery market, the number of users is expected to reach 336.9k users by 2029.
  • The user penetration is estimated to be 2.3% in 2024 and is expected to increase to 2.6% by 2029.
  • The average revenue per user (ARPU) is projected to be US$3.38.
  • In global comparison, United States is anticipated to generate the most revenue in the Restaurant Delivery market, amounting to US$36,950.00m in 2024.
  • South Korea is expected to have the highest user penetration rate of 53.1% in the Restaurant Delivery market.
  • The restaurant delivery market in Tunisia has seen a surge in demand due to the increasing popularity of online food ordering platforms.
 
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Analyst Opinion

The restaurant delivery market in Tunisia has been rapidly growing in recent years, with an increasing number of consumers opting for food delivery services.

Customer preferences:
The convenience of having food delivered directly to their doorstep has become a major factor in the decision-making process of Tunisian consumers. This is especially true for those who live in urban areas and have busy lifestyles. Additionally, the COVID-19 pandemic has further accelerated the growth of the restaurant delivery market, as many consumers are opting to stay at home and avoid crowded areas.

Trends in the market:
One of the major trends in the Tunisian restaurant delivery market is the rise of online ordering platforms. These platforms have made it easier for consumers to browse menus, compare prices, and place orders from a variety of restaurants. Another trend is the increasing popularity of healthy food options, with many consumers looking for meals that are both nutritious and tasty. This has led to the growth of restaurants and delivery services that specialize in healthy cuisine.

Local special circumstances:
Tunisia has a rich culinary tradition, with a diverse range of dishes that reflect the country's history and culture. Tunisian cuisine is a fusion of Mediterranean and North African flavors, with a focus on fresh ingredients and bold spices. This has led to the development of a vibrant food scene in the country, with a wide variety of restaurants and cafes offering traditional and modern cuisine. The restaurant delivery market has become an important part of this food scene, allowing consumers to enjoy their favorite dishes from the comfort of their own homes.

Underlying macroeconomic factors:
Tunisia is a middle-income country with a growing economy and a young population. The country has a high rate of urbanization, with many young professionals living in cities and working in the service sector. This demographic is a key driver of the restaurant delivery market, as they value convenience and are willing to pay for quality food. Additionally, Tunisia has a well-developed telecommunications infrastructure, with high rates of internet and smartphone penetration. This has made it easier for consumers to access online ordering platforms and has facilitated the growth of the restaurant delivery 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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