Online Food Delivery - Norway

  • Norway
  • The Online Food Delivery market in Norway is projected to reach a revenue of US$1.83bn in 2024.
  • It is expected to exhibit an annual growth rate of 9.26% (CAGR 2024-2029), resulting in a projected market volume of US$2.85bn by 2029.
  • In the Grocery Delivery market, a revenue growth of 13.8% is anticipated in 2025.
  • The market volume is projected to be US$1.57bn in 2024.
  • When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market, with US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$719.60 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 2.9m users by 2029.
  • The user penetration rate in the Grocery Delivery market is estimated to be 39.6% in 2024.
  • In Norway, the online food delivery market is dominated by local players, with a strong focus on sustainable and organic options.
 
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Analyst Opinion

The Norwegian food delivery market has seen a surge in demand in recent years, with an increasing number of consumers opting for the convenience of online food delivery services.

Customer preferences:
Norwegian consumers are increasingly adopting digital channels for ordering food, with mobile apps being the preferred choice of many. The convenience of ordering food online and the availability of a wide range of options are the primary drivers of this trend. Additionally, the COVID-19 pandemic has further accelerated this shift towards online food delivery, as more people are choosing to stay at home and avoid crowded places.

Trends in the market:
One of the major trends in the Norwegian food delivery market is the emergence of new players. The market is becoming increasingly competitive, with new entrants vying for a share of the pie. This has led to a greater variety of food options being available to consumers and has also resulted in more competitive pricing.Another trend in the market is the growing popularity of healthy food options. Norwegian consumers are becoming more health-conscious, and this is reflected in their food choices. Online food delivery services are responding to this trend by offering healthier options, such as salads and smoothie bowls.

Local special circumstances:
Norway's geography and climate present unique challenges for the food delivery market. The country's long distances and harsh weather conditions can make it difficult for delivery services to operate efficiently. However, this challenge has also presented an opportunity for local players to establish a strong foothold in the market by leveraging their knowledge of the local terrain and weather conditions.

Underlying macroeconomic factors:
Norway's strong economy and high disposable income levels have contributed to the growth of the online food delivery market. The country's high standard of living means that consumers are willing to pay a premium for convenience and quality. Additionally, the country's relatively small population means that there is a limited number of restaurants and food outlets, which has created a gap in the market that online food delivery services are filling.

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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