Maritime Artificial Intelligence Market Size, Share & Trends Analysis Report By Component (Hardware, Software), By Technology, By Application, By Deployment, By End Use, By Region, And Segment Forecasts, 2025 - 2030

Maritime Artificial Intelligence Market Trends

The global maritime artificial intelligence market size was estimated at USD 4,321.1 million in 2024 and is projected to grow at a CAGR of 40.6% from 2025 to 2030.This growth is driven by the increasing need for operational efficiency, improved safety, and environmental sustainability. AI applications in maritime are diverse and impactful.

For instance, autonomous vessels like the Yara Birkeland, the world’s first fully electric autonomous container ship, and the Mayflower Autonomous Ship demonstrate how AI enables ships to navigate complex routes with minimal human intervention, significantly reducing human error, which is a leading cause of maritime accidents.

Predictive maintenance is another key application where AI analyzes sensor data to forecast equipment failures before they occur, allowing for proactive maintenance that reduces downtime and costs. Industry leaders such as Rolls-Royce and Wärtsilä have implemented AI-driven systems to monitor ship components and optimize maintenance schedules, thereby extending vessel lifespans. In addition, AI-powered route optimization models analyze weather, traffic, and fuel consumption data to identify the most efficient and safest routes, reducing fuel use and emissions while accelerating delivery times.

In port operations, AI enhances efficiency by coordinating automated cranes and vehicles, optimizing cargo handling, and improving communication among maritime stakeholders. Platforms like MagicPort exemplify how AI streamlines port operations and collaboration. Furthermore, AI-based safety and risk management systems provide real-time monitoring and predictive insights to reduce collisions and accidents, especially in congested waters. Overall, maritime artificial intelligence is driving a technological revolution that promises smarter, safer, and more sustainable shipping operations, with significant growth and widespread adoption expected in the forecast years.

Global Maritime Artificial Intelligence Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global maritime artificial intelligence market report based on the component, technology, application, deployment, end use, and region.

• Component Outlook (Revenue, USD Million, 2017 - 2030)
• Hardware
• Software
• Services
• Technology Outlook (Revenue, USD Million, 2017 - 2030)
• Natural Language Processing
• Machine Learning
• Computer Vision
• Robotics & Autonomous Systems
• Application Outlook (Revenue, USD Million, 2017 - 2030)
• Navigation & Route Optimization
• Predictive Maintenance
• Port Operations & Management
• Vessel & Cargo Tracking
• Surveillance & Security
• Autonomous Shipping
• Deployment Outlook (Revenue, USD Million, 2017 - 2030)
• Onboard Systems
• Cloud-Based Solutions
• End Use Outlook (Revenue, USD Million, 2017 - 2030)
• Commercial Shipping
• Energy & Utilities
• Warehouse & Logistics
• Port Authorities
• Fishing Industry
• Offshore Energy
• Regional Outlook (Revenue, USD Million, 2017 - 2030)
• North America
• U.S.
• Canada
• Mexico
• Europe
• UK
• Germany
• France
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Latin America
• Brazil
• MEA
• UAE
• South Africa
• KSA