Retail Delivery - Malaysia

  • Malaysia
  • The Reail Delivery market in Malaysia is projected to reach a revenue of US$2.07bn in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 11.64%, resulting in a projected market volume of US$3.59bn by 2029.
  • In Malaysia's Reail Delivery market, the number of users is expected to amount to 7.5m users by 2029.
  • The user penetration is projected to be 15.7% in 2024 and is expected to reach 20.7% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$379.80.
  • In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, reaching US$195,400.00m in 2024.
  • On the other hand, United States has the highest projected user penetration rate of 30.4%.
  • The rise of e-commerce platforms in Malaysia has led to a decline in traditional brick-and-mortar retail stores.
 
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Analyst Opinion

The Retail Delivery market in Malaysia has been growing rapidly in recent years, driven by various factors such as changing consumer preferences, technological advancements, and local special circumstances.

Customer preferences:
Consumers in Malaysia are increasingly turning to online shopping due to the convenience and accessibility it offers. This has led to a surge in demand for retail delivery services, with customers expecting fast and reliable delivery options. Additionally, there has been a shift towards sustainable and eco-friendly delivery options, with consumers preferring companies that prioritize environmentally friendly practices.

Trends in the market:
One of the major trends in the Retail Delivery market in Malaysia is the adoption of innovative technologies such as drones and autonomous vehicles. These technologies enable faster and more efficient delivery options, which are particularly important in a country with a large and dispersed population. Another trend is the rise of same-day and on-demand delivery services, which cater to the growing demand for instant gratification among consumers.

Local special circumstances:
Malaysia's geography and infrastructure pose unique challenges for the Retail Delivery market. The country's extensive coastline and numerous islands make it difficult to deliver goods to certain areas. Additionally, the country's traffic congestion and limited public transportation options make it challenging to provide timely and efficient delivery services in urban areas.

Underlying macroeconomic factors:
The Retail Delivery market in Malaysia is also influenced by broader macroeconomic factors such as the country's GDP growth and consumer spending patterns. As the Malaysian economy continues to grow, consumers are becoming more affluent and are spending more on retail goods. This has created a larger market for Retail Delivery services, with companies vying for a share of this growing market.In conclusion, the Retail Delivery market in Malaysia is experiencing significant growth due to changing consumer preferences, technological advancements, and local special circumstances. As the market continues to evolve, companies will need to adapt to these trends and challenges in order to remain competitive and meet the demands of consumers.

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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