Retail Delivery - Brunei Darussalam

  • Brunei Darussalam
  • The Reail Delivery market in Brunei Darussalam is predicted to achieve a revenue of US$15.34m in 2024.
  • This projection is based on the expected annual growth rate (CAGR 2024-2029) of 4.66%.
  • Consequently, the market volume is estimated to reach US$19.26m by 2029.
  • Furthermore, it is anticipated that the number of users in the Reail Delivery market will reach 89.5k users by 2029.
  • The user penetration rate, which is currently at 14.9% in 2024, is projected to increase to 19.0% by 2029.
  • Additionally, the average revenue per user (ARPU) is expected to be US$225.00.
  • When compared globally, United States is anticipated to generate the most revenue in the Reail Delivery market with a staggering US$195,400.00m in 2024.
  • On the other hand, United States boasts the highest projected user penetration rate of 30.4%.
  • Brunei Darussalam's retail delivery market is experiencing a surge in demand for online grocery shopping due to its convenient and contactless nature.
 
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Analyst Opinion

The Retail Delivery market in Brunei Darussalam has been evolving in recent years, reflecting changes in customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Brunei Darussalam's retail delivery market is driven by customer preferences for convenience, speed, and reliability. Consumers are increasingly turning to online shopping and home delivery services to save time and avoid the hassle of going to physical stores. This trend is particularly evident among younger consumers, who are more tech-savvy and comfortable with e-commerce platforms.

Trends in the market:
The retail delivery market in Brunei Darussalam is characterized by a growing number of players, including both domestic and international companies. These companies are investing in technology and logistics infrastructure to improve their delivery capabilities and expand their reach. Same-day and next-day delivery options are becoming more common, as are value-added services such as real-time package tracking and customer support.

Local special circumstances:
One of the unique factors shaping the retail delivery market in Brunei Darussalam is the country's small size and dispersed population. With a land area of just over 5,700 square kilometers and a population of around 450,000 people, Brunei Darussalam presents logistical challenges for delivery companies. However, these challenges are also opportunities for companies that can leverage technology and innovation to optimize their delivery networks and offer more efficient and cost-effective services.

Underlying macroeconomic factors:
The development of the retail delivery market in Brunei Darussalam is closely linked to broader macroeconomic trends, including rising levels of urbanization, increasing disposable income, and growing internet penetration. As more people move to urban areas and earn higher incomes, they are likely to demand more convenient and personalized shopping experiences. At the same time, the expansion of internet access and mobile technology is creating new opportunities for e-commerce platforms and delivery companies to reach consumers in previously underserved 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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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