Platform Delivery - Puerto Rico

  • Puerto Rico
  • The Platform Delivery market in Puerto Rico is projected to reach a revenue of US$11.95m by 2024.
  • It is expected to grow at an annual rate of 4.86% (CAGR 2024-2029), resulting in a projected market volume of US$15.15m by 2029.
  • Additionally, the number of users in the Platform Delivery market is expected to reach 311.0k users by 2029.
  • The user penetration rate, which is 6.7% in 2024, is expected to increase to 9.5% by 2029.
  • The average revenue per user (ARPU) is projected to be US$54.59.
  • In a global comparison, China is expected to generate the highest revenue in the Platform Delivery market, with an estimated amount of US$165,200.00m in 2024.
  • Furthermore, China has the highest user penetration rate in the Platform Delivery market, projected to be 52.3%.
  • In Puerto Rico, the Platform Delivery market is rapidly growing, driven by the increasing demand for convenient and efficient delivery services in the island.
 
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Analyst Opinion

The Platform Delivery market in Puerto Rico has been experiencing significant growth in recent years.

Customer preferences:
Customers in Puerto Rico have shown a strong preference for convenience and speed when it comes to food delivery. This has led to an increase in demand for platform delivery services that offer quick and efficient delivery options. Additionally, customers in Puerto Rico have shown a preference for local cuisine, which has led to the emergence of several local platform delivery services that specialize in delivering traditional Puerto Rican dishes.

Trends in the market:
One of the biggest trends in the Platform Delivery market in Puerto Rico is the increasing competition between local and international platform delivery services. While international players like Uber Eats and DoorDash have a strong presence in the market, several local companies have emerged in recent years to cater to the unique needs and preferences of Puerto Rican customers. Another trend in the market is the increasing use of technology to improve delivery times and optimize delivery routes. Many platform delivery services in Puerto Rico are investing in advanced logistics technology to ensure that food is delivered quickly and efficiently.

Local special circumstances:
Puerto Rico's unique geography and infrastructure have had a significant impact on the Platform Delivery market. The island's mountainous terrain and narrow roads can make delivery challenging, especially in rural areas. Additionally, the aftermath of Hurricane Maria in 2017 led to significant damage to the island's infrastructure, which has made it more difficult for platform delivery services to operate in some areas.

Underlying macroeconomic factors:
Puerto Rico's economy has been struggling in recent years, with high levels of poverty and unemployment. This has led to an increase in demand for affordable food delivery options, which has contributed to the growth of the Platform Delivery market. Additionally, the COVID-19 pandemic has had a significant impact on the market, with many customers turning to platform delivery services as a safe and convenient way to order food. However, the pandemic has also led to supply chain disruptions and increased costs for platform delivery services, which has presented challenges for companies operating in the market.

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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