Market Insights Digital Online Food Delivery Meal Delivery

Restaurant Delivery - Serbia

Serbia

The Restaurant Delivery market in Serbia is poised for significant growth, with projected revenue expected to reach €30.87m by 2024.
This represents a substantial increase in market volume, driven by an estimated annual growth rate (CAGR 2024-2028) of 6.02%.
By 2028, the market is anticipated to expand further, reaching a projected volume of €39.00m.
In terms of user base, the Restaurant Delivery market in Serbia is expected to witness a significant rise, with the number of users reaching 1.4m users by 2028.
This growth is further supported by an anticipated increase in user penetration, which is expected to reach 20.3% by 2028, up from 17.2% in 2024.
When considering the average revenue per user (ARPU), it is projected to amount to €26.32.
This metric provides insight into the financial performance of the market and highlights the potential for profitability in the sector.
In a global comparison, in the United States is expected to generate the highest revenue in the Restaurant Delivery market, with an estimated revenue of €33,910.00m in 2024.
This showcases the prominence of the United States in the industry and its significant contribution to the overall market.
Furthermore, in South Korea is anticipated to have the highest user penetration rate in the Restaurant Delivery market, projected to reach 53.5%.
This indicates the strong adoption and popularity of restaurant delivery services in South Korea.
Overall, the Restaurant Delivery market in Serbia holds great potential for growth, driven by increasing revenue, expanding user base, and rising user penetration rates.
With its unique market dynamics, in Serbia is poised to make a significant impact on the global Restaurant Delivery market industry.
The restaurant delivery market in Serbia is booming, with a wide range of local and international food options available for convenient and efficient home delivery.

Key regions: Asia, Europe, South Korea, Germany, China

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Restaurant Delivery model gained track fast, as it provided an easy solution for restaurants to switch from phone to online orders. Players like Just Eat, Delivery Hero or Takeaway.com strongly pushed the global markets in the recent decade, and global fast food chains like Domino's have adopted their digital strategies, too. The fierce competition resulted in thinner margins as companies poach customers from each other, so currently the market is in its consolidation phase with major M&A deals happening in all regions. Since adoption rates for this market are already high, it is likely towill likely grow slower in the next years and probably convergedelivery models.

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.