Restaurant Delivery - Norway

Norway

Highlights

The projected revenue in the Restaurant Delivery market in Norway is expected to reach US$219.80m Norwegian Krone in 2024.
This projection indicates an annual growth rate (CAGR 2024-2029) of 3.94%, resulting in a projected market volume of US$266.70m Norwegian Krone by 2029.
By that year, the number of users in the Restaurant Delivery market is expected to amount to 2.1m users.
The user penetration rate, which measures the percentage of the total population using restaurant delivery services, is projected to be 34.2% in 2024 and is expected to increase to 37.5% by 2029.
The average revenue per user (ARPU) is expected to be US$116.40 Norwegian Krone.
When compared globally, United States is anticipated to generate the most revenue in the Restaurant Delivery market, reaching US$36.95bn Norwegian Krone in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
The demand for restaurant delivery services in Norway has surged due to the country's cold climate and the convenience it offers to customers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Norway, known for its stunning fjords, is also home to a rapidly growing restaurant delivery market.

Customer preferences: Norwegian customers are increasingly looking for convenience and speed when it comes to food delivery. This trend is driven by the hectic lifestyle of urban dwellers who prefer to stay in and order food instead of cooking. Additionally, the popularity of online food delivery platforms has made it easier for customers to compare prices and menus, leading to more competition in the market.

Trends in the market: The restaurant delivery market in Norway is witnessing a surge in demand, with more and more restaurants joining the delivery bandwagon. This trend is driven by the growing popularity of food delivery platforms, which are attracting customers with their user-friendly interfaces, wide range of restaurant options, and fast delivery times. In addition, the COVID-19 pandemic has accelerated the growth of the food delivery market as people are staying at home more often and avoiding crowded places.

Local special circumstances: Norway's geography poses a unique challenge for food delivery companies due to its scattered population and difficult terrain. However, this challenge has been overcome by innovative companies that have developed efficient delivery systems. For example, some companies use electric bikes to navigate the narrow streets of Oslo and other cities, while others use drones to deliver food to remote areas.

Underlying macroeconomic factors: Norway's strong economy and high standard of living have contributed to the growth of the restaurant delivery market. As more people have disposable income, they are more likely to spend money on food delivery. Additionally, the country's high internet and smartphone penetration rates make it easy for customers to order food online. Finally, the Norwegian government's focus on promoting entrepreneurship has led to the emergence of several food delivery startups, which are driving innovation and competition in the 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.