An analysis of the latest operational estimates from EconDB
Asia-Europe container services continue to play a central role in global liner shipping, according to the latest operational estimates published by EconDB.
An analysis of the first 60 services displayed in the dataset shows that Far East-Europe (FEA/EUR) routes account for nearly half of all listed services. This highlights the corridor’s enduring importance to global container trade.
Beyond export activity, the dataset also provides insight into vessel deployment, transit times and average vessel capacity. Together, these indicators offer a timely snapshot of how the world’s principal liner services are currently configured.
Distribution of trade lanes in the first 60 services
| Trade lane | Number of services | Share |
|---|---|---|
| FEA/EUR (Far East – Europe) | 27 | 45.0% |
| FEA/NAM (Far East – North America) | 5 | 8.3% |
| FEA/ESA (Far East – East Coast South America) | 4 | 6.7% |
| FEA/WSA (Far East – West Coast South America) | 3 | 5.0% |
| FEA/WAF (Far East – West Africa) | 2 | 3.3% |
| Other trade lanes | 19 | 31.7% |
Based on the first 60 services displayed in the EconDB operational dataset.
Asia-Europe remains the backbone of liner shipping
The operational estimates indicate that Far East-Europe services continue to form the largest group within the dataset. Nearly one out of every two services displayed connects major Asian production and transshipment hubs with European ports.
This finding underlines the strategic importance of the Asia-Europe corridor. It also confirms that the route remains one of the world’s busiest container shipping markets.
Many of these services originate from major Asian gateways such as Shanghai, Qingdao, Ningbo, Yantian, Tianjin and Dalian. They connect with key European ports, including Rotterdam, Antwerp, Hamburg, Felixstowe, London Gateway, Le Havre, Valencia and Damietta.
Multiple alliances support the busiest services
The dataset also highlights the diversity of operators serving the busiest trade lanes.
Gemini Cooperation and Premier Alliance account for many of the highest-ranked Asia-Europe services. At the same time, Ocean Alliance, MSC and other operators maintain a significant presence across different trade lanes.
As a result, the data reflects a highly competitive liner shipping market. Several alliances continue to compete across the world’s busiest east-west corridor.
Beyond Europe: A global network
Although Asia-Europe services represent the largest share of the dataset, the operational estimates also demonstrate the global reach of today’s liner networks.
Far East-North America (FEA/NAM), Far East-East Coast South America (FEA/ESA), Far East-West Coast South America (FEA/WSA) and Far East-West Africa (FEA/WAF) services all appear among the first 60 entries.
Meanwhile, additional services connect Europe with North America, the Middle East, Africa and Australia. This underlines the increasingly interconnected nature of global container shipping.
Large vessels continue to support long-haul trades
Large containerships continue to dominate the busiest services. Average vessel capacity frequently exceeds 20,000 TEU on several Asia-Europe loops.
Transit times vary significantly depending on the service and network design. Some routes take less than three weeks, while others extend to almost two months.
Overall, the combination of vessel size, voyage duration and export activity illustrates the operational complexity required to maintain global liner schedules.
A timely view of shipping networks
Operational datasets such as EconDB’s provide a valuable real-time perspective on how container shipping networks are structured.
They are not intended to replace official carrier schedules or port statistics. Instead, they complement them by offering timely market intelligence.
In particular, the estimates help identify the trade lanes, services and network patterns that currently underpin global container shipping.
Disclaimer
Disclaimer: This analysis is based on independent operational estimates published by EconDB. The figures are generated using commercial vessel tracking, liner schedules and trade flow modelling and are intended to provide a timely indication of activity across global container shipping services.
The analysis of trade lane distribution presented in this article is based on the first 60 services displayed in the EconDB dataset at the time of publication. The data does not constitute official carrier statistics or operational data and should be interpreted as independent market estimates designed to complement, not replace, official industry information.
