Container Demand and Supply Forecaster

Nearly 90% of world trade relies on shipping, yet the industry faces significant efficiency challenges. Companies must have access to the most accurate and detailed shipping container data—and the most advanced analysis of that data—if they are to understand how demand and supply will evolve.

BCG’s Container Demand and Supply Forecaster Tool offers both. It allows companies to assess multiple scenarios for how supply and demand might evolve and to determine the impact on, and strategic imperatives for, the business.

What Does the Tool Do?

BCG’s Container Demand and Supply Forecaster Tool crunches thousands of econometric and shipping data points to help clients use vessel space as efficiently as possible, save time and money, and identify growth opportunities. The proprietary tool taps 20 years of data on trade and macroeconomic indicators and forecasts demand across major trade lanes through 2025.

Container Demand and Supply Forecaster by the Numbers

Major trade lanes include those related to Africa, transatlantic, Asia-Europe, Latin America, Oceania, intra-Americas, Indian subcontinent and the Middle East (ISC-ME), transpacific, and intra-Asia.

Macroeconomic indicators include GDP and its various components, along with other econometric measures, such as industrial production indexes and unemployment rates.

Commodities covered include machinery and electrical equipment, chemicals, energy and mining, transportation equipment and parts, textiles, and leather and apparel.

Why Does Your Shipping Business Need the Tool?

Clients that partner with BCG find that our Container Demand and Supply Forecaster Tool, analysis, and models enable them to:

Gain a better understanding of the trends in—and outlook for—demand and supply of container vessels
Analyze demand and supply trends to identify potential disruptors—and understand the implications of those disruptors on specific trade routes
Use customizable macroeconomic indicators to predict how business will evolve in individual regions and trade lanes
Determine which commodities will drive container demand in the near future
Unlock opportunities for growth by using scenario-based modeling across optimistic, pragmatic, and conservative trade outlooks
Gauge the impact of global disruptions, such as the COVID-19 pandemic and trade shifts between nations, on container trade—and inform the best business response to these evolving situations

How Does the Tool Work?

BCG’s shipping data tool uses a three-pronged approach:

Data Preparation

The tool considers historical trade data and econometric variables such as GDP, industrial production indexes, and unemployment rates. The data is cleaned and normalized, and a regression model is created for selected countries that are the leading contributors to global container trade demand.

Scenario Creation

The tool allows users to create various scenarios based on global uncertainties, affording the flexibility to select different econometric growth patterns.