Retail Delivery - Luxembourg

Luxembourg

Highlights

The projected revenue in the Reail Delivery market in Luxembourg is expected to reach US$95.48m in 2024.
This will result in an annual growth rate (CAGR 2024-2029) of 3.78%, leading to a projected market volume of US$115.00m by 2029.
Additionally, the number of users in Luxembourg's Reail Delivery market is expected to reach 212.0k users by 2029.
The user penetration rate, which is currently at 24.6% in 2024, is projected to increase to 30.7% by 2029.
Furthermore, the average revenue per user (ARPU) is expected to amount to US$587.00.
In global comparison, it is worth noting that United States is predicted to generate the highest revenue in the Reail Delivery market, reaching US$195.40bn in 2024.
On the other hand, United States is projected to have the highest user penetration rate, with a rate of 30.4%.
Luxembourg's retail delivery market is thriving, with a strong focus on luxury goods and high-end customer service.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Luxembourg, a small country in Western Europe, is known for its high standard of living and strong economy. The Retail Delivery market in Luxembourg has been developing in a certain way due to various factors.

Customer preferences: Luxembourg has a diverse population with a high percentage of expats. The customers in Luxembourg prefer convenience and speed when it comes to retail delivery. They value the ability to order products online and have them delivered quickly to their doorstep. In addition, customers in Luxembourg also prefer eco-friendly packaging and sustainable delivery options.

Trends in the market: One of the major trends in the Retail Delivery market in Luxembourg is the rise of e-commerce. With the increasing use of smartphones and internet penetration, customers have shifted towards online shopping. As a result, there has been a significant increase in demand for home delivery services. Another trend is the use of technology in the delivery process. Companies are using drones and autonomous vehicles to deliver products, which has improved delivery times and reduced costs.

Local special circumstances: Luxembourg is a small country with a high population density. The country has a well-developed transportation system, which makes it easier for companies to deliver products to customers. However, due to the small size of the country, companies face challenges in optimizing their delivery routes and reducing delivery times. In addition, Luxembourg has strict regulations on the use of commercial vehicles, which can impact the delivery process.

Underlying macroeconomic factors: Luxembourg has a strong economy with a high GDP per capita. The country has a large number of expats, who have a high disposable income and are willing to spend on luxury products. This has led to an increase in demand for premium delivery services. In addition, Luxembourg has a favorable tax system, which has attracted many e-commerce companies to set up their operations in the country. This has led to increased competition in the Retail Delivery market, which has resulted in companies offering faster and more efficient delivery services.

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.