Press release
Key Trends Shaping the Future Artificial Intelligence (AI) In Maritime Transport Market From 2025-2034: Advancements in AI for Risk Assessment in Maritime Transport
Artificial Intelligence AI In Maritime Transport
The rising volume of global trade is expected to accelerate the growth of AI in maritime transport. Global trade refers to the exchange of goods and services between countries, and its expansion has been supported by technological advancements and reduced transportation and communication costs. AI in maritime transport optimizes logistics, enhances fleet reliability through predictive maintenance, and reduces operational costs. For instance, in November 2023, the International Trade Administration reported that US exports to the UK reached $157.1 billion in 2022, a 21.5% increase from 2021. Consequently, the growing global trade volume is driving AI adoption in maritime transport.
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What is the future CAGR of the artificial intelligence (ai) in maritime transport market, and how will it impact industry expansion?
The artificial intelligence (AI) in maritime transport market has experienced strong growth in recent years. It is projected to increase from $5.83 billion in 2024 to $6.24 billion in 2025, with a CAGR of 7.0%. The past expansion was driven by the demand for improved operational efficiency, the need for enhanced safety and security measures, growing global trade and shipping volumes, a stronger focus on environmental sustainability, and advancements in autonomous vessels and navigation systems.
The artificial intelligence (AI) in maritime transport market is projected to experience steady growth in the coming years. It is expected to reach $8.09 billion by 2029, growing at a CAGR of 6.7%. The growth will be driven by an increasing demand for autonomous vessels, enhanced safety and security measures, a greater need for fuel efficiency, the rising adoption of AI-powered logistics optimization, regulatory support for digital transformation, and increased investments in smart port technologies. Key trends during the forecast period will include the adoption of autonomous ships, advanced predictive maintenance systems, AI-driven port automation, real-time navigation and routing improvements, AI-powered environmental monitoring, AI-IoT integration for smart shipping, and AI-enabled cybersecurity solutions.
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What are the most significant trends transforming the artificial intelligence (ai) in maritime transport market today?
Lastly, in the AI in maritime transport market, Windward Ltd. launched the MAI Expert in June 2024, an AI-powered virtual agent that helps optimize vessel navigation and improve predictive maintenance. This AI tool leverages maritime risk insights and proprietary data to enhance efficiency, reduce vessel screening times, and automate processes, making maritime operations more reliable and sustainable.
Which key market segments comprise the artificial intelligence (ai) in maritime transport market and drive its revenue growth?
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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What regions are at the forefront of artificial intelligence (ai) in maritime transport market expansion?
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.
Who are the leading players fueling growth 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.
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What Is Covered In The Artificial Intelligence (AI) In Maritime Transport Global Market Report?
•Market Size Forecast: Examine the artificial intelligence (ai) in maritime transport market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in maritime transport market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in maritime transport market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in maritime transport market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in maritime transport market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in maritime transport market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in maritime transport market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in maritime transport market, including expansions, agreements, and new product launches.
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