Market Insights eCommerce Online Food Delivery

Meal Delivery - Colombia

Colombia

The revenue in the Meal Delivery market of Colombia is forecasted to reach €567.80m in 2024.
It is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 5.01%, resulting in a projected market volume of €724.90m by 2029.
Additionally, the Platform Deliverymarket is expected to have a market volume of €473.40m in 2024.
In comparison to other countries worldwide, China is expected to generate the highest revenue of €167,800.00m in 2024.
The average revenue per user (ARPU) in the Meal Delivery market of Colombia is projected to be €54.93 in 2024.
Furthermore, the number of users in the Meal Delivery market is estimated to reach 12.7m users by 2029.
The user penetration in the Meal Delivery market of Colombia is anticipated to be 19.8% in 2024.
Colombia's meal delivery market is experiencing a surge in demand as consumers seek convenient and affordable options for their dining needs.

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Moneda

Analyst Opinion

The Meal Delivery market in Colombia has been experiencing substantial growth in recent years.

Customer preferences: Colombian customers have shown a growing preference for convenience and speed in their food delivery options. With busy work schedules and a desire for more leisure time, many Colombians are turning to meal delivery services as a way to save time and effort in meal preparation. Additionally, the COVID-19 pandemic has accelerated this trend as more people are opting for contactless delivery options.

Trends in the market: The Meal Delivery market in Colombia has seen a surge in the number of players entering the market, leading to increased competition. Many of these players have introduced innovative offerings such as personalized meal plans, healthy food options, and eco-friendly packaging to differentiate themselves from competitors. Furthermore, there has been a shift towards the use of mobile applications for ordering food, with many companies investing heavily in their mobile platforms to improve the user experience.

Local special circumstances: One of the unique aspects of the Colombian market is the popularity of traditional cuisine. While there is a growing demand for international cuisine, many Colombians still prefer local dishes, which presents an opportunity for meal delivery companies to cater to this demand. Additionally, the geography of Colombia, with its many rural areas and difficult terrain, presents a challenge for companies looking to expand their delivery networks.

Underlying macroeconomic factors: The Colombian economy has been steadily growing in recent years, with a rising middle class and an increase in disposable income. This has led to a greater demand for convenience and luxury goods, including meal delivery services. Furthermore, the Colombian government has been implementing policies to encourage entrepreneurship and innovation, which has led to a surge in the number of start-ups in the meal delivery space. However, the country still faces challenges such as high rates of poverty and inequality, which may limit the growth of the meal delivery market in certain areas.

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.