Artificial Intelligence (AI) in Maritime Transport Market Report 2026

The artificial intelligence (AI) in maritime transport market size has grown strongly in recent years. It will grow from $6.24 billion in 2025 to $6.67 billion in 2026 at a compound annual growth rate (CAGR) of 7%. The growth in the historic period can be attributed to expansion of digital navigation systems, adoption of condition-based maintenance tools, growth in global maritime trade, increasing onboard data generation, early investments in autonomous shipping technologies.

The artificial intelligence (AI) in maritime transport market size is expected to see strong growth in the next few years. It will grow to $8.62 billion in 2030 at a compound annual growth rate (CAGR) of 6.6%. The growth in the forecast period can be attributed to increasing demand for fuel-efficient shipping operations, expansion of autonomous and semi-autonomous vessels, rising focus on maritime decarbonization, integration of ai with port infrastructure, growth of smart maritime ecosystems. Major trends in the forecast period include increasing deployment of ai-based route optimization tools, rising adoption of predictive maintenance algorithms, growing integration of autonomous vessel technologies, expansion of ai-driven port and cargo management systems, enhanced focus on maritime safety analytics.

The rising levels of global trade are anticipated to accelerate the expansion of artificial intelligence (AI) in the maritime transport market in the coming years. Global trade volumes represent the total amount of goods and services traded between nations across the world. Continuous progress in technology and logistics has lowered transportation and communication expenses, making it simpler for companies to participate in international trade. Moreover, globalization has resulted in more interconnected supply chains and trade arrangements, encouraging cross-border business activity. AI in maritime transport supports the growth of global trade by boosting efficiency, cutting costs, and streamlining logistics. It also enables predictive maintenance for vessels, reducing downtime and enhancing fleet performance. For example, in April 2024, the World Trade Organization, an intergovernmental body based in Switzerland, reported that global merchandise trade volume is expected to increase by 2.6% in 2024 and 3.3% in 2025. Thus, the growth in global trade volumes fuels the adoption of artificial intelligence (AI) in the maritime transport market.

Companies in the AI maritime transport sector are integrating AI to enhance vessel navigation, predictive maintenance, fuel efficiency, and port and cargo operations. AI technology is employed to analyze data related to vessels, weather, and geopolitical situations, helping to predict and manage risks in maritime operations. For instance, in June 2024, Windward Ltd., an Israel-based software company, introduced the MAI Expert, an AI-powered virtual maritime agent. This tool, utilizing Amazon Bedrock's foundation models and Windward's proprietary data, aims to improve operational efficiency, reduce vessel screening times, and automate various processes. The MAI Expert provides extensive expertise in maritime operations, sanctions regulations, and risk assessments.

In April 2023, Everstream Analytics GmbH, a Germany-based firm specializing in data analytics and machine learning, acquired BlueNode Inc. for an undisclosed amount. This acquisition enhances Everstream Analytics' capabilities in offering insights on reducing maritime carbon emissions, optimizing vessel performance, automating shipping processes, and accurately measuring emissions. BlueNode Inc., a Canada-based software development company, provides AI-driven data management and analytics solutions for maritime ports in the global supply chain.

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 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. The countries covered in the artificial intelligence (AI) in maritime transport market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in maritime transport market includes revenues earned by entities by providing services such as autonomous navigation and vessel control, predictive maintenance, and port operations management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in maritime transport market also includes sales of satellite communication systems, AI-integrated ship engines, autonomous ships, and AI-enhanced communication systems, and graphics processing units. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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