The artificial intelligence ai in maritime transport market has seen considerable growth due to a variety of factors.
• The market size for artificial intelligence (AI) in maritime transport has seen a strong upward trend in recent years. A growth from $5.83 billion in 2024 to $6.24 billion in 2025 is anticipated, representing a compound annual growth rate (CAGR) of 7.0%.
This historic growth rate is credited to amplified demand for operational efficiency, heightened need for robust safety and security measures, increased volume of global trade and shipping, a stronger push for environmental sustainability, and a surge in the development of autonomous vessels and navigation systems.
The artificial intelligence ai in maritime transport market is expected to maintain its strong growth trajectory in upcoming years.
• Expectations are high for the maritime transport market, especially those harnessing artificial intelligence (AI), to witness robust expansion in the upcoming years. Forecasts predict the market value to surge to $8.09 billion by 2029, with a compound annual growth rate (CAGR) of 6.7%.
Factors propelling this growth include the surging demand for autonomous vessels, heightened safety and security protocols, the necessity for fuel efficiency, and the rising adoption of AI-infused logistics optimization. The influence of increasing regulatory support for digital transitions and burgeoning investments in smart port technologies also contributes. Key trends anticipated in this forecasting period include the adoption of autonomous vessels and AI-powered environmental monitoring, enhanced predictive maintenance systems, AI-led port automation, advanced real-time navigation and routing, AI integration with IoT for smart shipping, and the employment of AI-enabled cybersecurity measures.
The growth of the artificial intelligence (AI) in maritime transport market is anticipated to be fuelled by the escalating global trade volumes. These volumes constitute the overall quantity of goods and services traded across various nations worldwide. Innovations in technology and logistics have led to decreased costs of transportation and communication, facilitating international trade for businesses. Globalization's impact has led to the development of interlinked supply chains and trade agreements, promoting international commerce. AI's application in maritime transport boosts global trade volumes by increasing efficiency, lowering expenses, and streamlining logistics. It allows for the prediction of ship maintenance needs, reducing idle time and enhancing fleet dependability. As an example, the International Trade Administration reported in November 2023 that in 2022, the exports of goods and services from the US to the UK surged to $157.1 billion, denoting a 21.5% increase from 2021. Consequently, the rise in global trade volumes is stimulating the growth of the artificial intelligence (AI) in maritime transport market.
The artificial intelligence (AI) in maritime transport market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment: On-Premise, Cloud- Based
3) By Application: Route Optimization, Predictive Maintenance, Fleet Management, Safety And Security, Other Applications
Subsegments:
1) By Solution: AI-based Navigation Systems, Predictive Maintenance Solutions, Cargo Optimization Tools, Autonomous Vessel Technology, Fleet Management Software
2) By Services: Consulting Services, Implementation Services, Training and Support Services, Data Analytics and Reporting Services
Major corporations active in the field of artificial intelligence (AI) in the maritime transport sector are leveraging AI to improve vessel navigation, predictive maintenance, fuel economy, and to automate port and cargo operations. By utilizing cutting-edge technology, AI in maritime can assess data regarding ships, weather conditions, and geopolitical issues to foresee and address potential risks in maritime activities. For example, in June 2024, the Israel-based software firm, Windward Ltd., rolled out the MAI Expert, a maritime AI virtual agent. Using Windward's insights into maritime risk, the AI-driven expert utilizes the foundational models of Amazon Bedrock, supplemented with unique maritime logistics data, to enhance efficiency, cut down vessel screening periods, and automate tasks. It provides extensive knowledge in maritime operations, sanctions rules, and Windward's data, facilitating rapid and thorough vessel risk evaluations.
Major companies operating in the artificial intelligence (AI) in maritime transport market are:
• Siemens AG
• International Business Machines Corporation
• HD Hyundai Co Ltd.
• Northrop Grumman Corporation
• Schneider Electric SE
• Mitsubishi Heavy Industries Ltd.
• ABB Ltd.
• Thales S.A.
• L3Harris Technologies Inc.
• Rolls-Royce Holdings plc
• Emerson Electric Co.
• Singapore Technologies Engineering Ltd.
• Wärtsilä Corporation
• Garmin Ltd.
• Cargotec Corporation
• Saab AB
• Kongsberg Gruppen ASA
• Fugro NV
• Furuno Electric Co. Ltd.
• BMT Group Ltd.
• Tokyo Keiki Inc.
• Spire Global Inc.
• Napa Oy
• MarineTraffic
• Windward Ltd.
North America was the largest region in the artificial intelligence (AI) in maritime transport market in 2024. The regions covered in the artificial intelligence (AI) in maritime transport market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.