International shipping already accounts for 3.5% to 4.0% of global greenhouse-gas emissions, and tighter rules are moving from policy to enforcement. Gartner projects that by 2026, 80% of enterprise organizations using AI will have implemented governance to mitigate risk. AI-assisted voyage optimization can cut fuel consumption by up to 20% in reported studies, putting emissions targets and operational performance in direct tension.
Key Takeaways
- 3.5%–4.0% of global greenhouse-gas emissions are attributed to international shipping
- 2030: IMO’s target for total CO2 emissions from shipping to fall by at least 20% by 2030 versus 2008 levels
- 2024: The EU’s FuelEU Maritime rules start applying to ships for emissions intensity reduction requirements from 1 January 2025
- 2023: 96% of global trade by volume is carried by sea
- 2023: The world fleet comprised about 100,000 merchant ships (by number of vessels)
- 2023: The global maritime cybersecurity market is forecast to reach $10.0 billion by 2027
- 2024: The global predictive maintenance market is expected to grow from $6.9 billion in 2023 to $18.6 billion by 2030
- 2023: The global maritime digitalization market is expected to reach $20.0 billion by 2027
- 2024: The maritime AIS market is projected to reach $4.6 billion by 2030
- 20%: AI-assisted voyage optimization can reduce fuel consumption by up to 20% in reported optimization studies (varies by route and weather)
- 2019–2020: In a study of ship traffic prediction, AI models achieved mean absolute percentage errors (MAPE) below 10% for selected ports
- 2021: A machine-learning study reported reducing ship energy consumption prediction error by 15% versus baseline regression models
- 40%: IBM reported AI can reduce case-handling time by up to 40%
- 2024: Gartner predicted that by 2026, 80% of enterprise organizations that use AI will have implemented governance to mitigate risk
- 2023: The OECD reported that AI systems can increase productivity while also increasing risk exposure without proper governance
From emissions targets to AI driven efficiency and digitization, shipping is rapidly adopting analytics and automation to cut fuel use.
Related reading
01 · Category
Regulatory Impact5 stats
01
3.5%–4.0% of global greenhouse-gas emissions are attributed to international shipping
02
2030: IMO’s target for total CO2 emissions from shipping to fall by at least 20% by 2030 versus 2008 levels
03
2024: The EU’s FuelEU Maritime rules start applying to ships for emissions intensity reduction requirements from 1 January 2025
04
January 2023: The US Coast Guard amended requirements for Vessel Response Plans and related oil spill preparedness plans under the Oil Pollution Act (OPA) framework
05
2023: The European Maritime Safety Agency (EMSA) reported 2,900 maritime occurrences in the EU in 2023
Interpretation
Regulatory Impact Interpretation
Regulatory pressure on shipping emissions is accelerating, with international shipping responsible for 3.5% to 4.0% of global greenhouse gas emissions and new and tightening rules already in motion such as the EU’s FuelEU Maritime requirements starting for 1 January 2025 and the IMO targeting at least a 20% CO2 reduction by 2030 versus 2008 levels.
02 · Category
Industry Trends5 stats
01
2023: 96% of global trade by volume is carried by sea
02
2023: The world fleet comprised about 100,000 merchant ships (by number of vessels)
03
2023: The global maritime cybersecurity market is forecast to reach $10.0 billion by 2027
04
2024: The container terminal automation market is expected to grow to $11.0 billion by 2030
05
2024: By 2026, Gartner forecasts 30% of supply chain organizations will use AI-enabled decision intelligence for planning
Interpretation
Industry Trends Interpretation
In the industry trends shaping AI in shipping, 96% of global trade moves by sea and with about 100,000 merchant ships in operation, markets are rapidly investing in AI and automation, from cybersecurity projected to hit $10.0 billion by 2027 and terminal automation growing to $11.0 billion by 2030 to Gartner’s forecast that by 2026 30% of supply chain organizations will use AI-enabled decision intelligence for planning.
03 · Category
Market Size8 stats
01
2024: The global predictive maintenance market is expected to grow from $6.9 billion in 2023 to $18.6 billion by 2030
02
2023: The global maritime digitalization market is expected to reach $20.0 billion by 2027
03
2024: The maritime AIS market is projected to reach $4.6 billion by 2030
04
2024: The global IoT in shipping market is projected to reach $3.1 billion by 2028
05
2025: Forecasts estimate the global supply chain AI market at $15.0 billion by 2027
06
2024: The global shipping analytics software market is projected to reach $3.2 billion by 2028
07
2023: The global maritime IoT market is forecast to reach $9.0 billion by 2028
08
2023: The global ship management software market is expected to reach $2.8 billion by 2027
Interpretation
Market Size Interpretation
For the market size angle, the data points to rapid expansion across AI-enabled shipping solutions, with figures like predictive maintenance rising from $6.9 billion in 2023 to $18.6 billion by 2030 and maritime digitalization reaching $20.0 billion by 2027.
04 · Category
Performance Metrics6 stats
01
20%: AI-assisted voyage optimization can reduce fuel consumption by up to 20% in reported optimization studies (varies by route and weather)
02
2019–2020: In a study of ship traffic prediction, AI models achieved mean absolute percentage errors (MAPE) below 10% for selected ports
03
2021: A machine-learning study reported reducing ship energy consumption prediction error by 15% versus baseline regression models
04
1.0–2.5%: AI-based hull fouling detection studies report potential speed-loss reductions equivalent to 1.0%–2.5% fuel-efficiency improvement (depending on interventions)
05
2023: A study found that AI-based anomaly detection reduced false alarms by 30% in maritime surveillance datasets
06
2021: AI-based predictive maintenance can reduce downtime by 30%–50% (industry benchmark across sectors)
Interpretation
Performance Metrics Interpretation
Under the performance metrics lens, the data shows AI can deliver measurable gains across shipping operations, cutting fuel use by up to 20%, lowering prediction error to single digits with MAPE under 10%, reducing energy prediction error by 15%, cutting false alarms by 30%, and cutting downtime by 30% to 50%.
More related reading
05 · Category
Cost Analysis1 stats
01
40%: IBM reported AI can reduce case-handling time by up to 40%
Interpretation
Cost Analysis Interpretation
IBM’s findings suggest that AI can cut case-handling time by up to 40%, pointing to major potential cost savings in shipping operations under the cost analysis category.
06 · Category
Risk & Governance4 stats
01
2024: Gartner predicted that by 2026, 80% of enterprise organizations that use AI will have implemented governance to mitigate risk
02
2023: The OECD reported that AI systems can increase productivity while also increasing risk exposure without proper governance
03
2024: NIST AI Risk Management Framework (AI RMF 1.0) provides a framework for managing AI risks using Govern-Map-Measure-Manage functions
04
2023: The EU AI Act requires prohibited AI practices to be banned (entry into force in 2024 with phased application thereafter)
Interpretation
Risk & Governance Interpretation
The clearest Risk and Governance trend is that governance is moving from optional to essential, with Gartner projecting that by 2026 80% of AI-using enterprises will implement risk-mitigating controls, aligning with the NIST AI RMF’s structured Govern, Map, Measure, Manage approach and reinforced by growing regulatory pressure such as the EU AI Act’s ban on prohibited practices.
07 · Category
User Adoption3 stats
01
2024: By 2025, Gartner forecasts that 75% of supply chain organizations will use AI for demand forecasting, planning, or optimization
02
2022: UNCTAD reported that 50% of shipping-related firms have adopted at least one digital technology in port and shipping operations
03
2023: AI adoption in shipping for port operations is expected to increase as real-time systems mature (vendor report indicates >50% adoption among leading ports)
Interpretation
User Adoption Interpretation
Driven by growing confidence in real-time capabilities, AI adoption is moving quickly from pilots to mainstream use, with Gartner projecting that 75% of supply chain organizations will use AI for demand forecasting, planning, or optimization by 2025 and UNCTAD finding that 50% of shipping-related firms already use at least one digital technology in port and shipping operations.
Reference
Cite This Report
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APA
Felix Zimmermann. (2026, February 13). AI In The Shipping Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-shipping-industry-statistics
MLA
Felix Zimmermann. "AI In The Shipping Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-shipping-industry-statistics.
Chicago
Felix Zimmermann. 2026. "AI In The Shipping Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-shipping-industry-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level
+12 additional datasets cited (not shown individually)