Meal Delivery - Portugal

  • Portugal
  • In Portugal, the Meal Delivery market is anticipated to achieve a revenue of US$188.60m in 2024.
  • It is expected to display a compound annual growth rate (CAGR 2024-2029) of 4.82%, leading to a projected market volume of US$238.60m by 2029.
  • Within the Platform Deliverymarket, the expected market volume in Portugal for 2024 is US$95.11m.
  • When compared globally, the highest revenue is anticipated to be generated China, amounting to US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$70.90 in 2024.
  • By 2029, the number of users in Portugal's Meal Delivery market is expected to reach 3.1m users.
  • The user penetration rate in the Meal Delivery market is estimated to be 26.0% in 2024.
  • The meal delivery market in Portugal has experienced a surge in demand due to the increasing number of people seeking convenient and healthy dining options.
 
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Analyst Opinion

Portugal, a country known for its rich history and diverse culture, has seen a surge in the meal delivery market in recent years.

Customer preferences:
Portuguese consumers have shown a growing interest in meal delivery services due to their busy lifestyles and the convenience that these services provide. With an increasing number of people working full-time and the rise of the gig economy, many consumers are looking for quick and easy meal solutions. Additionally, the COVID-19 pandemic has further accelerated the demand for meal delivery services as more people are staying at home and avoiding crowded places.

Trends in the market:
One of the major trends in the meal delivery market in Portugal is the rise of healthy food options. Consumers are becoming more health-conscious and are looking for meals that are not only convenient but also nutritious. As a result, many meal delivery companies are offering a variety of healthy meal options to cater to this demand.Another trend in the market is the use of technology to improve the customer experience. Many meal delivery companies are using mobile apps and websites to make it easier for customers to place orders and track their deliveries. Additionally, some companies are using artificial intelligence and machine learning to personalize the customer experience and offer customized meal recommendations.

Local special circumstances:
Portugal's cuisine is heavily influenced by its history and geography. With a coastline that stretches over 800 km, seafood is a staple in Portuguese cuisine. As a result, many meal delivery companies in Portugal offer a variety of seafood dishes. Additionally, Portuguese cuisine is known for its use of fresh, locally sourced ingredients. Many meal delivery companies in Portugal pride themselves on using high-quality, locally sourced ingredients in their meals.

Underlying macroeconomic factors:
The Portuguese economy has been steadily growing in recent years, and this growth has led to an increase in disposable income for many consumers. With more disposable income, consumers are more likely to spend money on convenience services such as meal delivery. Additionally, Portugal's tourism industry has been booming in recent years, and this has led to an increase in demand for meal delivery services from tourists who are looking for convenient meal options while on vacation.

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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