Forecasting the Future Is Key to Staying Ahead
BCG has a solution to help you steer ahead in the shipping container industry.
Our tool’s comprehensive shipping data and rigorous analysis enable BCG clients to model future scenarios and explore the potential impact on the global container market and cargo capacity.
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.
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.
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.
Clients that partner with BCG find that our Container Demand and Supply Forecaster Tool, analysis, and models enable them to:
BCG’s shipping data tool uses a three-pronged approach:
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.
The tool allows users to create various scenarios based on global uncertainties, affording the flexibility to select different econometric growth patterns.
Selected econometric scenarios are incorporated into the model, which generates container trade forecasts for the selected routes.
For more information about the tool or our transportation and logistics consulting, please contact:
BCG has a solution to help you steer ahead in the shipping container industry.
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BCG tapped its Container Demand and Supply Forecast Tool to assess the impact of the US-China trade war on global container trade in this article in ShippingWatch, an online journal on the maritime industry.
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