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Artificial Intelligence (AI) In Maritime Transport Market Size Outlook: How Quickly Will Revenue Expand Through 2030?
The artificial intelligence (AI) in maritime transport market size has experienced substantial growth in recent years. This market is anticipated to expand from $6.24 billion in 2025 to $6.67 billion in 2026, showcasing a compound annual growth rate (CAGR) of 7.0%. The expansion observed in the past can be attributed to the proliferation of digital navigation systems, the adoption of condition-based maintenance tools, an increase in global maritime trade, rising onboard data generation, and initial investments in autonomous shipping technologies.
The artificial intelligence (AI) in maritime transport market is projected to experience substantial expansion over the upcoming years, with its size forecast to reach $8.62 billion by 2030, driven by a compound annual growth rate (CAGR) of 6.6%. This anticipated increase during the forecast period is influenced by several factors, including a greater demand for fuel-efficient shipping operations, the proliferation of autonomous and semi-autonomous vessels, a heightened emphasis on maritime decarbonization, the incorporation of AI into port infrastructure, and the development of intelligent maritime ecosystems. Key developments expected in this timeframe involve the increased use of AI-powered route optimization tools, a rise in the adoption of predictive maintenance algorithms, the expanding integration of autonomous vessel technologies, the growth of AI-driven port and cargo management solutions, and a stronger focus on maritime safety analytics.
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Artificial Intelligence (AI) In Maritime Transport Market Development Factors: What’s Supporting Demand?
The artificial intelligence (AI) in maritime transport market is anticipated to expand, fueled by the rising global trade volumes. Global trade volumes represent the collective amount of goods and services exchanged internationally. Progress in technology and logistics has decreased both transportation and communication expenses, simplifying international commerce for businesses. Furthermore, globalization has resulted in more interconnected supply chains and various trade pacts, which encourage commerce across national borders. AI within maritime transport contributes to an increase in global trade volume through improved efficiency, cost reduction, and optimized logistical operations. Specifically, it allows for predictive maintenance of vessels, thereby cutting down on downtime and enhancing the dependability of the fleet. As an illustration, the World Trade Organization, a Switzerland-based intergovernmental body, forecast in April 2024 that the global merchandise trade volume is expected to rise by 2.6% in 2024 and further by 3.3% in 2025. Consequently, the expansion of global trade volumes acts as a significant catalyst for the artificial intelligence (AI) in maritime transport market.
Artificial Intelligence (AI) In Maritime Transport Market Segment Analysis And Revenue Potential
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
Artificial Intelligence (AI) In Maritime Transport Market Transformation Trends: What Innovations Are Driving Change?
Leading companies in the artificial intelligence (AI) in maritime transport market are implementing AI to optimize vessel navigation, enhance predictive maintenance, improve fuel efficiency, and automate port and cargo operations. AI in maritime employs advanced technology to analyze data from vessels, weather patterns, and geopolitical scenarios, aiming to foresee and manage potential hazards in maritime activities. For instance, in June 2024, Windward Ltd., an Israel-based software company, unveiled the MAI Expert, a maritime artificial intelligence virtual agent. This AI-driven expert, developed with Windward’s maritime risk insights, leverages Amazon Bedrock’s foundation models, supplemented by proprietary maritime logistics data, to boost efficiency, decrease vessel screening durations, and automate procedures. It provides profound knowledge in maritime operations, sanctions regulations, and Windward’s data, facilitating quick and thorough vessel risk evaluations.
Artificial Intelligence (AI) In Maritime Transport Market Key Players Shaping Industry Direction
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.
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Artificial Intelligence (AI) In Maritime Transport Market Regional Analysis: Which Geography Leads On Revenue?
North America was the largest region in the artificial intelligence (AI) in maritime transport market in 2025. The regions covered in the artificial intelligence (AI) in maritime transport market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
