Key Trends Reshaping the Artificial Intelligence (AI) In Maritime Transport Market: Advancements in AI for Risk Assessment in Maritime Transport Industry Transformation

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Artificial Intelligence (AI) In Maritime Transport Market Size Growth Forecast: What to Expect by 2025?
Over the past few years, the artificial intelligence (AI) market within maritime transport has seen a robust growth. Its value will escalate from $5.83 billion in 2024 to $6.24 billion in 2025, with a CAGR of 7.0%. The expansion in the past has been spurred by factors such as the escalating demand for improved operational efficiency, the need for better safety and security standards, growth in global trade and marine shipping volumes, the increasing push for environmental sustainability, as well as the development of autonomous vessels and navigation systems.

How Will the Artificial Intelligence (AI) In Maritime Transport Market Size Evolve and Grow by 2029?
The market for artificial intelligence (AI) in the maritime transport sector is projected to experience robust growth over the next few years. It is estimated that by 2029, the market will reach a valuation of $8.09 billion, expanding at a compound annual growth rate (CAGR) of 6.7%. The growth in the forecast period can be credited to a surge in demand for autonomous vessels, improved safety and security protocols, increased fuel efficiency demands, the growing popularity of AI-enhanced logistics optimization, supportive regulatory schemes for digital transformation, and rising investments in intelligent port technologies. Noteworthy trends in the projected timeframe include the implementation of autonomous vessels, enhanced preemptive maintenance systems, AI-facilitated port automation, advanced real-time navigation and routing systems, AI-powered environmental surveillance incorporation of AI with IoT for intelligent shipping, and the utilization of AI-integrated cybersecurity measures.

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What Drivers Are Propelling the Growth of Artificial Intelligence (AI) In Maritime Transport Market Forward?
The boost in volumes of global trade is predicted to promote the advancement of artificial intelligence (AI) in the field of maritime transport. The term 'global trade volumes' is understood as the aggregate amount of goods and services that are internationally traded among nations. As technological and logistical progress escalates, costs related to transport and communication are diminishing, making it more feasible for enterprises to participate in cross-border trade. Concurrently, increased globalization encourages harmonized supply chains and trade pacts, stoking transnational commerce. By enhancing overall efficiency, reducing associated costs, and streamlining logistics, AI invigorates the maritime transport segment, proving to be a catalyst to raise the overall volume of global trade. AI also promotes predictive upkeep of ships, thereby lessening disruption and boosting fleet dependability. For instance, data from the International Trade Administration, a US government institution promoting trade and investment, showed that the US had exported goods and services worth $157.1 billion to the UK as of November 2023. This depicted a 21.5% increment since 2021. Hence, the escalated global trade volumes play a vital role in propelling the market for AI in maritime transport.

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Which Emerging Trends Are Transforming the Artificial Intelligence (AI) In Maritime Transport Market in 2025?
Leading firms in the artificial intelligence (AI) within maritime transport market are adopting AI, enhancing vessel navigation, predictive maintenance, fuel efficiency, and automation of port and cargo operations. Maritime AI leverages sophisticated technologies to analyze vessel data, weather conditions, and geopolitical scenarios to foresee and manage potential maritime operation risks. For instance, Windward Ltd., a software company based in Israel, introduced in June 2024 the MAI Expert, an AI-implemented maritime virtual assistant. This expert system, based on Windward's maritime risk intelligence, uses underlying models from Amazon Bedrock enriched with unique maritime logistics data to increase efficiency, minimize vessel screening durations and automate procedures. The system provides deep knowledge in maritime operations, sanctions regulations and Windward's data for thorough and quick vessel risk evaluations.

What Are the Key Segments in 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

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Who Are the Key Players Shaping the Artificial Intelligence (AI) In Maritime Transport Market's Competitive Landscape?
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 Geographic Markets Are Powering Growth in the Artificial Intelligence (AI) In Maritime Transport Market?
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.

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