Retail Delivery - Spain

  • Spain
  • The Reail Delivery market in Spain is projected to reach a revenue of US$6.46bn in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 8.89%, resulting in a projected market volume of US$9.89bn by 2029.
  • In Spain's Reail Delivery market, the number of users is expected to amount to 11.0m users by 2029.
  • User penetration will be 18.7% in 2024 and is expected to increase to 23.3% by 2029.
  • The average revenue per user (ARPU) is projected to be US$0.73k.
  • When comparing globally, it is worth noting that United States is expected to generate the highest revenue in the Reail Delivery market, reaching US$195,400.00m in 2024.
  • On the other hand, United States will have the highest user penetration rate with a projected rate of 30.4%.
  • In Spain, the retail delivery market is experiencing a surge in demand due to the increasing popularity of online shopping platforms.
 
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Analyst Opinion

Retail Delivery market in Spain has been showing significant growth in recent years. Spain has a population of over 46 million people, with a high percentage of internet users, which has made it a lucrative market for online retailers.

Customer preferences:
Spanish customers prefer fast and reliable delivery services. The majority of customers in Spain opt for home delivery, and they expect the delivery to be completed within a short timeframe. Spanish customers are also very price-sensitive and are always looking for the best deals.

Trends in the market:
One of the major trends in the Retail Delivery market in Spain is the growth of same-day and next-day delivery services. Retailers are investing in local warehouses and logistics to ensure that they can deliver products to their customers quickly and efficiently. Another trend is the rise of click-and-collect services, which allows customers to order online and pick up their purchases at a nearby store. This trend has become increasingly popular in Spain, as it offers customers greater flexibility and convenience.

Local special circumstances:
Spain has a unique geography, with many small towns and villages spread across the country. This has made it challenging for retailers to offer fast and reliable delivery services to all customers. However, retailers are adapting to this challenge by investing in local logistics and partnering with local delivery companies to ensure that they can reach customers in even the most remote areas of the country.

Underlying macroeconomic factors:
The growth of the Retail Delivery market in Spain is being driven by several macroeconomic factors. The Spanish economy has been growing steadily in recent years, which has led to an increase in consumer spending. The rise of e-commerce has also contributed to the growth of the Retail Delivery market in Spain, as more and more customers are choosing to shop online. Finally, the COVID-19 pandemic has accelerated the shift towards online shopping, as customers have been forced to stay at home and avoid physical stores. This has led to a surge in demand for online retailers and delivery services in Spain.

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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