Key Takeaways
- In 2023, the global merchant fleet totaled 2.25 billion deadweight tons (DWT), with a capacity growth of 3.1% year-over-year
- Container ships represented 29.3% of the global fleet's total DWT in 2023, amounting to 638 million DWT across 6,557 vessels
- Tankers comprised 26.8% of the world fleet in 2023, with 14,200 vessels carrying 603 million DWT
- Global seaborne trade reached 12.3 billion tons in 2023, up 2.4% from 2022
- Dry cargo accounted for 8.1 billion tons of seaborne trade in 2023, representing 66% of total volume
- Crude oil trade volume was 2.1 billion tons in 2023, with tankers carrying 81% of energy trade
- The top 100 container ports handled 61% of global TEU in 2023
- Ningbo-Zhoushan port achieved 35.3 million TEU in 2023, up 5.5% YoY
- Port of Rotterdam handled 14.6 million TEU in 2023, Europe's largest container port
- World shipbuilding output was 23.3 million GT in 2023, down 12% from 2022
- South Korea delivered 11.2 million GT in 2023, 48% of global output
- China built 8.1 million GT of ships in 2023, second to South Korea
- Global maritime workforce was 1.89 million seafarers in 2023
- Officers comprised 774,000 of total seafarers in 2023, with ratings at 1.12 million
- 40% of seafarers were from Philippines, 15% from India in 2023 BIMCO/ICS survey
The world's merchant fleet reached 2.25 billion deadweight tons in 2023, led by container ships and tankers.
Global Fleet
Global Fleet Interpretation
Maritime Trade
Maritime Trade Interpretation
Ports and Logistics
Ports and Logistics Interpretation
Shipbuilding
Shipbuilding Interpretation
Workforce and Safety
Workforce and Safety Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Thomas Lindqvist. (2026, February 13). Nautical Industry Statistics. Gitnux. https://gitnux.org/nautical-industry-statistics
Thomas Lindqvist. "Nautical Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/nautical-industry-statistics.
Thomas Lindqvist. 2026. "Nautical Industry Statistics." Gitnux. https://gitnux.org/nautical-industry-statistics.
Sources & References
- Reference 1UNCTADunctad.org
unctad.org
- Reference 2IMOimo.org
imo.org
- Reference 3ICS-SHIPPINGics-shipping.org
ics-shipping.org
- Reference 4BIMCObimco.org
bimco.org
- Reference 5IMCBROKERSimcbrokers.com
imcbrokers.com
- Reference 6EMSAemsa.europa.eu
emsa.europa.eu






