Platform Delivery - Bolivia

Bolivia

Highlights

The Platform Delivery market in Bolivia is projected to reach a revenue of US$7.62m by 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 11.58%, resulting in a projected market volume of US$13.18m by 2029.
Furthermore, the number of users in this market is expected to amount to 851.7k users by 2029.
In terms of user penetration, it is projected to be 4.0% in 2024 and is expected to increase to 6.3% by 2029.
The average revenue per user (ARPU) is expected to be US$15.09.
When compared globally, China is set to generate the highest revenue in the Platform Delivery market, amounting to US$166.80bn in 2024.
Additionally, China will have the highest user penetration rate of 52.8% in the same market.
Bolivia's platform delivery market is rapidly growing, driven by the increasing demand for convenient and efficient delivery services in urban areas.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in Bolivia has seen significant growth in recent years, driven by several underlying macroeconomic factors.

Customer preferences: Bolivian customers have shown a growing preference for online shopping and home delivery services, particularly in urban areas. This trend has been accelerated by the COVID-19 pandemic, as more consumers have turned to e-commerce to avoid crowded public spaces. As a result, demand for platform delivery services has surged in Bolivia.

Trends in the market: The Platform Delivery market in Bolivia is becoming increasingly competitive, with both domestic and international players entering the market. The market is currently dominated by a few major players, but new entrants are rapidly gaining market share. This trend is expected to continue in the coming years, as more consumers adopt e-commerce and demand for platform delivery services continues to grow.

Local special circumstances: Bolivia's geography presents unique challenges for platform delivery companies, particularly in rural areas where infrastructure is limited. However, the majority of Bolivia's population is concentrated in urban areas, which has allowed platform delivery companies to focus their operations on these areas. Additionally, Bolivia's regulatory environment is relatively favorable for platform delivery companies, with few restrictions on foreign investment and a relatively low tax burden.

Underlying macroeconomic factors: Bolivia's economy has been growing steadily in recent years, driven by strong domestic demand and a favorable external environment. The country's GDP grew by an average of 4.5% per year between 2015 and 2019, and is expected to rebound strongly in 2021 following the economic downturn caused by the COVID-19 pandemic. Additionally, Bolivia has a relatively young and tech-savvy population, which has helped to drive the adoption of e-commerce and platform delivery services. Finally, Bolivia's government has made efforts to improve the country's digital infrastructure, which has helped to support the growth of the Platform Delivery market.

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.