Platform Delivery - Guatemala

  • Guatemala
  • The Platform Delivery market in Guatemala is projected to reach a revenue of US$9.05m by 2024.
  • This market is expected to show an annual growth rate (CAGR 2024-2029) of 11.62%, resulting in a projected market volume of US$15.68m by 2029.
  • Furthermore, the number of users in the Platform Delivery market is expected to amount to 1.0m users by 2029.
  • The user penetration in this market is predicted to be 3.3% in 2024 and is expected to increase to 5.1% by 2029.
  • The average revenue per user (ARPU) is projected to be US$15.09.
  • In global comparison, China is expected to generate the highest revenue in the Platform Delivery market, reaching US$165,200.00m in 2024.
  • Additionally, China has the highest user penetration rate in this market, projected to be 52.3%.
  • In Guatemala, platform delivery services have seen a significant rise in popularity due to the convenience and cost-effectiveness they offer to consumers.
 
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Analyst Opinion

The Platform Delivery market in Guatemala has been experiencing significant growth in recent years, driven by various factors such as increasing demand for convenience and the rise of e-commerce.

Customer preferences:
Guatemalan consumers are increasingly turning to online shopping due to the convenience it offers. As a result, there has been a surge in demand for platform delivery services, which enable customers to receive their orders quickly and efficiently. Moreover, the COVID-19 pandemic has accelerated the adoption of e-commerce in Guatemala, as consumers have been forced to stay at home and avoid physical stores.

Trends in the market:
One of the key trends in the Platform Delivery market in Guatemala is the growing popularity of mobile apps for ordering and delivery. Many companies are investing in mobile app development to provide a seamless ordering and delivery experience for customers. Additionally, there has been a rise in the use of drones and other autonomous vehicles for delivery, which can help to reduce delivery times and costs.Another trend in the market is the emergence of new players, both local and international, which are competing for market share. This has led to increased competition and innovation in the market, as companies seek to differentiate themselves through pricing, delivery times, and customer service.

Local special circumstances:
Guatemala has a relatively small e-commerce market compared to other countries in the region, but it is growing rapidly. One of the challenges faced by companies in the Platform Delivery market is the lack of infrastructure and logistics capabilities in some areas of the country. This can make it difficult to provide reliable and efficient delivery services, particularly in rural areas.

Underlying macroeconomic factors:
Guatemala has a relatively stable economy, with a growing middle class and increasing levels of disposable income. This has led to a rise in consumer spending, particularly on goods and services that offer convenience and time-saving benefits. Additionally, the government has been investing in infrastructure and technology to support the growth of e-commerce and the Platform Delivery market. These factors are expected to drive further growth in the market in the coming years.

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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