Platform Delivery - United Kingdom

  • United Kingdom
  • The United Kingdom's Platform Delivery market is poised to witness significant growth in the coming years.
  • Revenue in this market is projected to reach €6.74bn by 2024.
  • Furthermore, it is expected to exhibit a robust annual growth rate (CAGR 2024-2029) of 5.69%, resulting in a projected market volume of €8.89bn by 2029.
  • The number of users in the Platform Delivery market is also anticipated to rise steadily, reaching 20.9m users by 2029.
  • This represents a user penetration of 25.4% in 2024, which is expected to increase to 30.2% by 2029.
  • The average revenue per user (ARPU) in the United Kingdom's Platform Delivery market is projected to amount to €389.60.
  • While in the United Kingdom shows promising growth prospects, it is worth noting that China is expected to generate the highest revenue in the global Platform Delivery market, reaching €154,700.00m in 2024.
  • Additionally, China boasts the highest user penetration rate of 52.8% in the Platform Delivery market.
  • The United Kingdom's platform delivery market is experiencing a surge in demand due to the increase in online shopping and the convenience of home delivery services.
 
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Analyst Opinion

The Platform Delivery market in United Kingdom has been experiencing a steady growth in recent years.

Customer preferences:
The UK market has seen a significant shift towards online shopping and e-commerce. This has led to an increase in demand for platform delivery services, as customers expect fast and reliable delivery of their purchases. In addition, there has been a rise in demand for same-day and next-day delivery services, as customers seek more convenience and flexibility in their shopping experience.

Trends in the market:
The Platform Delivery market in the UK has been witnessing a trend towards consolidation, with large players acquiring smaller ones to increase their market share and expand their service offerings. Another trend in the market is the adoption of technology and automation to improve efficiency and reduce costs. For instance, many companies are investing in drones and autonomous vehicles to deliver packages, which can significantly reduce delivery times and costs.

Local special circumstances:
The UK has a highly competitive market, with a large number of players offering platform delivery services. In addition, the country has a well-developed infrastructure and logistics network, which makes it easier for companies to operate and deliver packages efficiently. However, the market is also highly regulated, with strict rules and regulations governing the delivery of packages, which can make it difficult for new players to enter the market.

Underlying macroeconomic factors:
The growth of the Platform Delivery market in the UK can be attributed to several underlying macroeconomic factors. Firstly, the rise of e-commerce and online shopping has led to an increase in demand for platform delivery services. Secondly, the country's strong economy and high disposable income levels have enabled consumers to spend more on online shopping and delivery services. Finally, the UK's well-developed infrastructure and logistics network have made it easier for companies to operate and deliver packages efficiently.

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.

Vue d’ensemble

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