Quick Commerce - Portugal

  • Portugal
  • The Quick Commerce market in Portugal is projected to reach a revenue of US$131.50m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 7.24%, resulting in a projected market volume of US$186.50m by 2029.
  • By 2029, the number of users in the Quick Commerce market is expected to amount to 1.2m users.
  • The user penetration in Portugal will be 8.2% in 2024 and is expected to increase to 11.7% by 2029.
  • The average revenue per user (ARPU) is projected to be US$156.10.
  • In global comparison, China is expected to generate the highest revenue in the Quick Commerce market, amounting to US$80,840.00m in 2024.
  • Additionally, China will have the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
  • Portugal's quick commerce market is flourishing with the rise of on-demand grocery delivery services catering to the busy urban population.
 
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Analyst Opinion

The Quick Commerce market in Portugal has been rapidly developing in recent years, driven by changing consumer preferences and local special circumstances.

Customer preferences:
Portuguese consumers have been increasingly turning to online shopping for their daily needs, including groceries and household items. This shift in behavior has been accelerated by the COVID-19 pandemic, which has made consumers more cautious about visiting physical stores. As a result, Quick Commerce platforms that offer fast and reliable delivery of essential items have become increasingly popular.

Trends in the market:
One of the key trends in the Quick Commerce market in Portugal is the rise of local players. While international players such as Glovo and Uber Eats are present in the market, they face stiff competition from local players such as Bolt Food and Mercadão. These local players have a better understanding of the local market and are able to offer more tailored services to consumers.Another trend is the expansion of Quick Commerce services beyond food delivery. Quick Commerce platforms are now offering a wider range of products, including groceries, pharmaceuticals, and pet supplies. This is in response to consumer demand for a one-stop-shop for all their daily needs.

Local special circumstances:
One of the unique aspects of the Portuguese market is the prevalence of small, independent stores. These stores are an important part of the local economy and are often preferred by consumers over larger chain stores. Quick Commerce platforms are now partnering with these small stores to offer their products for delivery, helping to support the local economy while also meeting consumer demand for convenience.

Underlying macroeconomic factors:
The Quick Commerce market in Portugal is also being driven by underlying macroeconomic factors. The country has a young and tech-savvy population, with high levels of smartphone penetration and internet usage. This has created a fertile ground for the growth of Quick Commerce platforms.In addition, the Portuguese government has been supportive of the tech sector, offering incentives and tax breaks to encourage investment. This has helped to attract international players to the market and has also supported the growth of local players.Overall, the Quick Commerce market in Portugal is set to continue its rapid growth in the coming years, driven by changing consumer preferences, local special circumstances, and underlying macroeconomic factors.

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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