Quick Commerce - Denmark

  • Denmark
  • Denmark's Quick Commerce market is projected to reach a revenue of US$239.30m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 6.93%, resulting in a projected market volume of US$334.50m by 2029.
  • By that year, the number of users in the Quick Commerce market is expected to amount to 1.1m users.
  • The user penetration is projected to be 13.8% in 2024 and is expected to increase to 18.8% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$292.80.
  • In global comparison, China is set to generate the most revenue with US$80,840.00m in 2024.
  • Furthermore, China also boasts the highest user penetration rate in the Quick Commerce market with a projected rate of 21.4%.
  • Denmark's quick commerce market is thriving due to the country's tech-savvy population and high demand for convenient, on-demand services.
 
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Analyst Opinion

Denmark, a country known for its cycling culture and sustainable living, has witnessed a significant growth in the Quick Commerce market in recent years.

Customer preferences:
The Danish market has always been inclined towards eco-friendly and sustainable products. This preference has been reflected in the Quick Commerce market as well. Customers in Denmark prefer to buy products that are locally sourced and have a low carbon footprint. The demand for organic and vegan products has also been on the rise.

Trends in the market:
The Quick Commerce market in Denmark has been growing rapidly, with many new players entering the market. This can be attributed to the increasing demand for convenience and the rise in e-commerce. The COVID-19 pandemic has also accelerated the growth of the Quick Commerce market in Denmark, as people have been more inclined towards online shopping and contactless delivery.One of the significant trends in the Quick Commerce market in Denmark is the focus on sustainability. Many companies have started offering eco-friendly packaging, and some have even introduced electric delivery vehicles to reduce their carbon footprint. Another trend is the increasing popularity of meal delivery services, which offer healthy and organic food options.

Local special circumstances:
Denmark is a country with a high standard of living, and its citizens are willing to pay a premium for quality products and services. This has created an opportunity for Quick Commerce companies to offer premium and specialized services to customers. Additionally, the Danish government has been supportive of sustainable initiatives and has introduced policies to encourage companies to reduce their carbon footprint.

Underlying macroeconomic factors:
Denmark has a strong economy, with a high GDP per capita and low unemployment rates. This has created a favorable environment for Quick Commerce companies to operate in. Additionally, the country has a well-developed infrastructure and a high level of digitalization, which has made it easier for companies to offer online services. The Danish market is also highly competitive, which has led to companies innovating and offering unique services to attract customers.

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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