Retail Delivery - Ecuador

Ecuador

Highlights

The Reail Delivery market in Ecuador is projected to reach a revenue of US$227.10m by 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 12.09%, resulting in a projected market volume of US$401.70m by 2029.
The number of users in the Reail Delivery market is expected to amount to 2.0m users by 2029.
The user penetration, which is the percentage of the population using Reail Delivery market services, will be 8.6% in 2024 and is expected to increase to 10.6% by 2029.
The average revenue per user (ARPU) is expected to be US$143.20.
When compared globally, United States is projected to generate the most revenue in the Reail Delivery market, with US$195.40bn in 2024.
The United States, on the other hand, is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
Ecuador's retail delivery market is witnessing a surge in demand for online shopping platforms, driven by increased internet penetration and convenience-seeking consumers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Ecuador has been experiencing significant growth in recent years.

Customer preferences: Ecuadorian consumers have shown a growing preference for online shopping, which has led to an increase in demand for retail delivery services. This shift in consumer behavior can be attributed to the convenience and ease of access provided by online shopping platforms. Additionally, the COVID-19 pandemic has accelerated the adoption of e-commerce in Ecuador, as consumers have been forced to rely on online shopping due to social distancing measures.

Trends in the market: The Retail Delivery market in Ecuador has been characterized by the entry of new players, particularly in the last two years. This has led to increased competition, which has resulted in improved service quality and lower prices for consumers. The market has also witnessed the introduction of new delivery models, such as same-day delivery and on-demand delivery, which have been well-received by consumers.

Local special circumstances: Ecuador's geography presents unique challenges for the Retail Delivery market. The country's mountainous terrain and underdeveloped infrastructure can make it difficult for delivery companies to reach certain areas. Additionally, the country's high crime rate has led to concerns about package theft, which has prompted some companies to introduce measures such as secure lockers and in-store pickup options.

Underlying macroeconomic factors: Ecuador's economy has been characterized by instability in recent years, with high inflation and a large informal sector. This has led to challenges for the Retail Delivery market, particularly in terms of logistics and payment processing. However, the government has implemented measures to address these issues, such as the introduction of a digital payment system and the implementation of trade agreements with other countries. These measures are expected to support the growth of the Retail Delivery market in Ecuador in the coming years.

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.