| Characteristic | Air | Pipeline | Road | Rail | Domestic Waterborne |
|---|---|---|---|---|---|
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
| - | - | - | - | - | - |
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Data provided by ÌÇÐÄÆƽâ°æ Market ÌÇÐÄÆƽâ°æ are estimates.
Data coverage
The data encompasses B2B enterprises. Figures are based on the activities of the Freight Forwarding market.
Modeling approach
Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use resources from the ÌÇÐÄÆƽâ°æ platform as well as annual financial reports of the market-leading companies and industry associations, third-party studies and reports, national statistical offices, international institutions, and the experience of our analysts.
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 are well suited for forecasting transportation activity due to the non-linear growth of this market
Additional notes
The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year.
