Retail Delivery - Malta

  • Malta
  • The Reail Delivery market in Malta is projected to reach a revenue of US$50.02m by 2024.
  • Furthermore, the market is expected to experience an annual growth rate (CAGR 2024-2029) of 8.95%, resulting in a projected market volume of US$76.78m by 2029.
  • Additionally, the number of users in the Reail Delivery market is estimated to reach 161.8k users by 2029.
  • In terms of user penetration, it is expected to be 25.7% in 2024 and is projected to increase to 29.8% by 2029.
  • The average revenue per user (ARPU) is expected to be US$362.30.
  • When compared globally, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
  • On the other hand, United States is expected to have the highest user penetration rate in the market, with a projected rate of 30.4%.
  • The adoption of online shopping platforms has surged in Malta, as consumers increasingly opt for convenient retail delivery services.
 
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Analyst Opinion

The Retail Delivery market in Malta has seen significant growth in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences:
Maltese consumers are increasingly turning to online shopping, with a growing number of retailers offering e-commerce options. This trend has been driven by the convenience of online shopping, as well as the availability of a wider range of products. In addition, consumers are increasingly demanding faster delivery times, with same-day or next-day delivery becoming the norm.

Trends in the market:
The growth of e-commerce has led to an increase in demand for last-mile delivery services in Malta. As a result, there has been a significant increase in the number of delivery companies operating in the country, with both local and international players entering the market. These companies are competing to offer faster and more reliable delivery services, with many investing in new technologies such as drones and autonomous vehicles to improve efficiency.

Local special circumstances:
Malta's small size and high population density make it an ideal market for last-mile delivery services. The country's narrow streets and historic architecture can make it difficult for larger delivery vehicles to navigate, creating opportunities for smaller, more agile companies. In addition, Malta's status as a popular tourist destination has led to a growing demand for delivery services catering to the needs of visitors, such as luggage storage and airport transfers.

Underlying macroeconomic factors:
Malta's strong economic growth and high levels of consumer spending have contributed to the growth of the Retail Delivery market. In addition, the country's strategic location in the Mediterranean has made it an attractive location for logistics companies looking to serve both European and North African markets. However, the small size of the Maltese market means that companies operating in the country may face challenges in achieving economies of scale and profitability.

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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