Restaurant Delivery - North Macedonia

North Macedonia

Highlights

The Restaurant Delivery market in North Macedonia is projected to reach a revenue of US$1.90m by 2024.
This forecasted growth is expected to continue with a Compound Annual Growth Rate (CAGR) of 2.43% from 2024 to 2029, resulting in a projected market volume of US$2.14m by 2029.
The number of users in the Restaurant Delivery market is also anticipated to increase, reaching 97.3k users by 2029.
The user penetration is predicted to be 4.2% in 2024 and is expected to rise to 4.7% by 2029.
The average revenue per user (ARPU) is expected to be US$21.63.
In comparison to other countries, United States is projected to generate the highest revenue in the global Restaurant Delivery market, amounting to US$36.95bn in 2024.
On the other hand, South Korea is expected to have the highest user penetration rate of 44.8% in the Restaurant Delivery market.
The restaurant delivery market in North Macedonia is experiencing a surge in demand due to the convenience and safety it provides during the ongoing pandemic.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of restaurant delivery services has been on the rise in North Macedonia, driven by several factors.

Customer preferences: In North Macedonia, the convenience of having food delivered to one's doorstep has become increasingly important to consumers. With busy work schedules and long commutes, many people are opting for the ease of ordering in rather than cooking at home or dining out. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services, as people have been encouraged to stay home and avoid crowded public places.

Trends in the market: One trend in the North Macedonian restaurant delivery market is the increasing number of partnerships between delivery platforms and restaurants. These partnerships allow restaurants to expand their customer base and increase revenue, while delivery platforms can offer a wider selection of food options to their users. Another trend is the rise of contactless delivery options, which have become more popular due to the pandemic. These options allow customers to receive their food without any physical contact with the delivery person.

Local special circumstances: One unique aspect of the North Macedonian market is the prevalence of traditional cuisine. Many local restaurants offer traditional Macedonian dishes, which can be difficult to find on delivery platforms. However, there has been a recent increase in the number of delivery services that specialize in traditional Macedonian food, catering to both locals and tourists.

Underlying macroeconomic factors: The North Macedonian economy has been growing steadily in recent years, with a focus on industries such as manufacturing, IT, and tourism. This growth has led to an increase in disposable income, which has in turn fueled the demand for restaurant delivery services. Additionally, the country's young and tech-savvy population has been quick to adopt new technologies and services, further driving the growth of the delivery market.

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.