Restaurant Delivery - Denmark

Denmark

Highlights

The Restaurant Delivery market in Denmark is projected to reach a revenue of US$483.80m in 2024.
It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 8.72%, resulting in a projected market volume of US$734.80m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 2.6m users.
User penetration, which is the percentage of the population using the service, is projected to be 34.7% in 2024 and is expected to increase to 42.9% by 2029.
The average revenue per user (ARPU) is expected to be US$234.70.
In global comparison, United States is expected to generate the most revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
When it comes to user penetration, South Korea is projected to have the highest rate at 44.8%.
Denmark's restaurant delivery market is thriving, with a strong emphasis on sustainable and organic options.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of restaurant delivery services has been on the rise in Denmark in recent years.

Customer preferences: Danish consumers have increasingly busy lifestyles, which has led to a growing demand for convenient meal options. Restaurant delivery services have become a popular choice for consumers who want to enjoy restaurant-quality food in the comfort of their own homes. In addition, the COVID-19 pandemic has led to a surge in demand for restaurant delivery services as consumers have been encouraged to stay at home.

Trends in the market: The restaurant delivery market in Denmark has been growing rapidly in recent years. This growth can be attributed to the increasing popularity of online food ordering platforms such as Just Eat and Wolt. These platforms have made it easier for consumers to order food from a wide range of restaurants, and have also made it easier for restaurants to offer delivery services without having to invest in their own delivery infrastructure.Another trend in the market is the increasing popularity of healthy food options. Consumers in Denmark are becoming more health-conscious and are looking for food delivery options that offer healthy and nutritious meals. As a result, many restaurants and food delivery platforms are now offering a wider range of healthy food options to cater to this demand.

Local special circumstances: One of the unique features of the Danish restaurant delivery market is the prevalence of bike couriers. Due to the small size of Denmark's cities and the popularity of cycling, many restaurant delivery services use bike couriers to deliver food to customers. This has led to a more sustainable and environmentally friendly delivery system, which is in line with Denmark's reputation as a green and sustainable country.

Underlying macroeconomic factors: Denmark has a strong and stable economy, which has contributed to the growth of the restaurant delivery market. In addition, Denmark has a high standard of living and a well-educated population, which means that consumers are willing to pay a premium for high-quality food delivery services. The government in Denmark also has a strong focus on sustainability and environmental protection, which has encouraged the development of sustainable delivery options such as bike couriers.

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.