Market Insights eCommerce Online Food Delivery Grocery Delivery

Retail Delivery - Germany

Germany

The Reail Delivery market in Germany is projected to reach a revenue of €7.07bn in 2024.
It is expected to exhibit an annual growth rate (CAGR 2024-2029) of 14.44%, resulting in a projected market volume of €13.88bn by 2029.
By 2029, the number of users in the Reail Delivery market is expected to amount to 26.7m users.
The user penetration is projected to be 25.8% in 2024 and is expected to increase to 32.2% by 2029.
The average revenue per user (ARPU) is anticipated to be €329.00.
In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, amounting to €181,200.00m in 2024.
The United States, with a projected rate of 30.4%, has the highest user penetration in the Reail Delivery market.
Germany's retail delivery market is experiencing a surge in demand for online grocery shopping, driven by convenience and the desire for contactless shopping experiences.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

Germany, known for its efficient and reliable infrastructure, has been experiencing a significant shift in the retail delivery market.

Customer preferences: German consumers are becoming increasingly accustomed to online shopping, with a significant rise in the number of online shoppers in recent years. This has led to a surge in demand for convenient and fast delivery options. Consumers are also placing greater emphasis on sustainable and eco-friendly delivery methods.

Trends in the market: One of the most prominent trends in the German retail delivery market is the rise of same-day and next-day delivery options. Delivery providers are investing heavily in technology and logistics to ensure faster and more efficient delivery times. There has also been a significant increase in the use of alternative delivery methods, such as lockers and pick-up points, which offer greater convenience and flexibility for consumers.Another trend in the market is the growing importance of sustainability. Delivery providers are increasingly using electric and hybrid vehicles, as well as bicycle couriers, to reduce their carbon footprint. In addition, many retailers are offering eco-friendly packaging options and incentivizing consumers to choose more sustainable delivery methods.

Local special circumstances: Germany has a highly competitive retail market, with a large number of domestic and international retailers vying for market share. This has led to intense competition in the delivery market, with providers offering a wide range of delivery options and incentives to attract and retain customers.

Underlying macroeconomic factors: Germany's strong economy and high levels of consumer spending have contributed to the growth of the retail delivery market. In addition, the country's well-developed infrastructure and logistics network have made it an attractive market for delivery providers. However, the COVID-19 pandemic has also played a significant role in shaping the market, with many consumers turning to online shopping and home delivery due to lockdowns and social distancing measures. This has accelerated existing trends in the market and led to a greater emphasis on fast and reliable delivery options.

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.