At what pace is the artificial intelligence (ai) in maritime transport market growing, and what is its estimated value?
The artificial intelligence (AI) in maritime transport market size has grown strongly in recent years. It will grow from $5.83 $ billion in 2024 to $6.24 $ billion in 2025 at a compound annual growth rate (CAGR) of 7.0%. The growth in the historic period can be attributed to increase in demand for operational efficiency, increase need for enhanced safety and security measures, growth in global trade and shipping volumes, increase in push for environmental sustainability, and increase in the development of autonomous vessels and navigation systems.
The artificial intelligence (AI) in maritime transport market size is expected to see strong growth in the next few years. It will grow to $8.09 $ billion in 2029 at a compound annual growth rate (CAGR) of 6.7%. The growth in the forecast period can be attributed to increasing demand for autonomous vessels, enhanced safety, and security measures, increasing need for fuel efficiency, rising adoption of AI-powered logistics optimization, increasing regulatory support for digitalization, and growing investments in smart port technologies. Major trends in the forecast period include adoption of autonomous vessels, enhanced predictive maintenance systems, AI-driven port automation, advanced real-time navigation and routing, adoption of AI-powered environmental monitoring, integration of AI with IoT for smart shipping, and the adoption of AI-enabled cybersecurity measures.
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What are the top drivers to the rising demand in the artificial intelligence (ai) in maritime transport market?
The increasing global trade volumes are expected to propel the growth of artificial intelligence (AI) in maritime transport market going forward. Global trade volumes refer to the total quantity of goods and services exchanged between countries worldwide. The increasing advancements in technology and logistics have reduced transportation and communication costs, making it easier for businesses to engage in international trade. Additionally, globalization has led to more integrated supply chains and trade agreements, fostering cross-border commerce. AI in maritime transport improves global trade volume by enhancing efficiency, reducing costs, and optimizing logistics. It enables predictive maintenance for ships, minimizing downtime and improving fleet reliability. For instance, in November 2023, according to the International Trade Administration, a US-based government agency for trade and investment, in 2022, US exports of goods and services to the UK climbed to $157.1 billion, marking a 21.5% increase compared to 2021. Therefore, the increasing global trade volumes drive artificial intelligence (AI) in maritime transport market.
How is the artificial intelligence (ai) in maritime transport market segmented?
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
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Who are the top competitors in the artificial intelligence (ai) in maritime transport market?
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.
What significant trends should we anticipate in the artificial intelligence (ai) in maritime transport market over the forecast period?
Major companies operating in the artificial intelligence (AI) in maritime transport market are integrating AI to optimize vessel navigation, enhance predictive maintenance, improve fuel efficiency, and automate port and cargo operations. AI in maritime uses advanced technology to analyze data on vessels, weather, and geopolitical situations to predict and manage potential risks in maritime operations. For instance, in June 2024, Windward Ltd., an Israel-based software company, launched the MAI Expert, a maritime artificial intelligence virtual agent. This AI-powered expert, trained on Windward’s maritime risk insights, utilizes Amazon Bedrock’s foundation models enhanced with proprietary maritime logistics data to improve efficiency, reduce vessel screening times, and automate processes. It offers deep expertise in maritime operations, sanctions regulations, and Windward’s data, enabling swift and comprehensive vessel risk assessments.
Which regional trends are influencing the artificial intelligence (ai) in maritime transport market, and which area dominates the industry?
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.
What Does The Artificial Intelligence (AI) In Maritime Transport Market Report 2025 Offer?
The artificial intelligence (ai) in maritime transport market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Artificial Intelligence (AI) in maritime transport refers to the use of advanced technologies such as machine learning and data analytics to improve the efficiency, safety, and sustainability of maritime operations. AI in maritime transport is used to optimize ship routes, predict maintenance needs, enable autonomous ships, manage cargo efficiently, enhance safety and security, monitor environmental impact, and improve port operations.
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