Retail Delivery - Norway

Norway

Highlights

The Reail Delivery market in Norway is expected to reach a revenue of US$1.24bn in 2024.
It is projected to experience an annual growth rate (CAGR 2024-2029) of 11.32%, resulting in a market volume of US$2.12bn by 2029.
By that year, the number of users in the Reail Delivery market is expected to reach 1.9m users.
The user penetration is predicted to be 26.2% in 2024 and is expected to increase to 33.2% by 2029.
The average revenue per user (ARPU) is projected to be US$859.20.
In comparison to other countries, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195.40bn in 2024.
The United States, on the other hand, is expected to have the highest user penetration rate in the Reail Delivery market with a projected rate of 30.4%.
Norway's retail delivery market is experiencing a surge in demand for online grocery shopping, driven by convenience and a desire for contactless shopping experiences.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Norway has experienced significant growth in recent years, driven by changing consumer preferences and advancements in technology.

Customer preferences: Norwegian consumers have shown a strong preference for online shopping, with a significant portion of retail sales now taking place online. This has led to increased demand for fast and reliable delivery options, with many consumers opting for same-day or next-day delivery. Additionally, there is a growing demand for eco-friendly and sustainable delivery options, as Norwegian consumers become increasingly environmentally conscious.

Trends in the market: One of the key trends in the Norwegian Retail Delivery market is the rise of e-commerce platforms, which offer consumers a wide range of products and services at competitive prices. These platforms have become increasingly popular in recent years, particularly among younger consumers who are more likely to shop online. Another trend is the increasing use of technology to improve the delivery experience, such as real-time tracking and delivery notifications. Finally, there is a growing trend towards collaboration between retailers and delivery companies to offer more flexible and convenient delivery options.

Local special circumstances: Norway's geography and population distribution present unique challenges for the Retail Delivery market. With a large proportion of the population living in remote and rural areas, there is a need for delivery companies to provide reliable and efficient services to these areas. Additionally, Norway's harsh winter weather conditions can make delivery difficult, particularly in more remote areas.

Underlying macroeconomic factors: The Norwegian economy has remained relatively stable in recent years, with low levels of unemployment and a strong GDP growth rate. This has contributed to increased consumer confidence and spending, which has in turn driven growth in the Retail Delivery market. Additionally, Norway's high standard of living and relatively high disposable income levels have made it an attractive market for retailers and delivery companies alike.

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.