The world’s most comprehensive database of international trade and commercial freight traffic

The GTAS Forecasting provides market and business planners with in-depth analysis, historical data, and forecasts of bilateral trade between 248 countries and regions across 270 commodities and 16 key indicators (Trade Concepts), including containerized trade measured in container tons or TEU.

Since 2021 the database covers as well intra-European trade flows in value and volume broken down by transportation modes: Sea, Air and Overland/Other trade and even more detailed breakdown of Overland Transport, distinguishing Road and Rail categories separately for selected trade routes.

It is a database including annual and quarterly frequency data updated every quarter.

Get the information and insight you need to size international markets, identify global business risks and opportunities, conduct strategic planning, make confident trade and transportation investment decisions, and secure long-term competitiveness.

  • Plan competitive strategies by identifying when specific country and commodity trade will rebound
  • Uncover risks and opportunities by analysing and comparing target markets
  • Understand market trends and the economic factors driving them
  • Understand factors that could impact economic development and infrastructure plans
  • Conduct product line forecasting and benchmark performance

Source of historical data – Global Trade Atlas (GTA).
GTA is a part of S&P Global, the market-leading database for trade data includes monthly data from 120+ reporting countries and annual data for over 200 countries.

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Empower Your Decision Making!

GTAS Forecasting supports your business needs across industries and around the world.

Benefits

  • Consulting companies
  • Trade associations
  • Government agencies
  • Logistics companies
  • Ship owners and operators
  • Commodity producers
  • Port authorities
  • Dredging and offshore contractor
  • Shipyard constructors

How can the GTAS Forecasting help you?

GTAS Forecasting Features

Research & Analysis

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