Maritime Artificial Intelligence Market Size, Share & Trends Analysis Report By Component (Hardware, Software), By Technology, By Application, By Deployment, By End Use, By Region, And Segment Forecasts,
Published Date: May - 2025 | Publisher: MIR | No of Pages: 240 | Industry: technology | Format: Report available in PDF / Excel Format
View Details Buy Now 2999 Download Sample Ask for Discount Request CustomizationMaritime Artificial Intelligence Market Trends
The size of the global maritime artificial intelligence market was USD 4,321.1 million in 2024 and is expected to grow at a CAGR of 40.6% during the period 2025-2035.This is fueled by the growing demand for operational efficiency, enhanced safety, and environmental sustainability.AI applications in the maritime sector are widespread and significant.
For instance, autonomous vessels like the Yara Birkeland, a self-sustaining autonomous container ship that is the first of its kind in the world, and the Mayflower Autonomous Ship demonstrate how AI allows ships to traverse complex routes with minimal human intervention, reducing significantly the propensity for human error, which is the foremost cause of maritime accidents.
Predictive maintenance is yet another high-profile use case in which AI is used to interpret sensor readings in order to foresee equipment breakdowns in advance to enable proactive maintenance to reduce downtime and costs. Industry leaders such as Rolls-Royce and Wärtsilä have employed AI systems to monitor ship components and arrange maintenance accordingly to optimize vessel lifetimes. Second, machine learning route-optimizing software considers weather conditions, traffic congestion, and fuel consumption information in order to provide the most optimum and safest routes, reducing the consumption of fuel and emissions as well as accelerating delivery times.
In harbor operation, efficiency is enhanced through coordinated automated shipping and cranes, optimizing container transfer, as well as seafaring cooperation. Software tools like MagicPort are indicative of how AI enhances port processes as well as coordination. Besides, AI-based safety and risk management systems provide real-time monitoring and predictive analysis to reduce collisions and accidents, especially in congested waters. Overall, maritime artificial intelligence is spearheading a technological revolution that promises more intelligent, safer, and greener shipping operations, with significant growth and mass adoption expected in the forecast period.
Report Coverage & Deliverables
- Competitive benchmarking
- Historical data & forecasts
- Company revenue shares
- Regional opportunities
- Latest trends & dynamics
Component Insights
The hardware segment dominated the market with the highest revenue share of 42.1% in 2024. Advances in hardware are playing a crucial role in boosting growth in the maritime artificial intelligence market by allowing for quicker, more efficient processing of data and real-time decision-making on the high seas. The incorporation of high-performance edge computing equipment, AI-powered sensors, and sophisticated navigation hardware is revolutionizing operations in shipping, offshore energy, and naval industries.
Significant efforts from major players, for example, in February 2025, Siemens Digital Industries Software and Compute Maritime have collaborated to revolutionize the design of ships by combining Compute Maritime's NeuralShipper software with Siemens' Simcenter STAR-CCM+ CFD technology. Through the collaboration, they utilize generative AI and sophisticated simulation to speed up vessel design, maximize performance, and facilitate creative, fuel-saving ship designs.
The segment of services is expected to grow at the highest CAGR during the forecast period. These services include predictive maintenance, real-time ship tracking, automated navigation, and route optimization that improve the operational efficiency, safety, and cost-effectiveness of operations. Shipowners increasingly use AI-as-a-Service (AIaaS) models to gain access to sophisticated analytics and decision-making capabilities without significant upfront investment in infrastructure. Furthermore, sustainability pressure through regulation is also driving maritime companies to incorporate AI services for emissions monitoring and compliance.
Additionally, considerable innovation by major players, in March 2025, Saildrone and Palantir Technologies entered into a strategic alliance to enhance AI-driven maritime intelligence through the integration of Palantir's AI cloud infrastructure with Saildrone's autonomous surface drones. The tie-up will heighten maritime security, surveillance, and operational scalability under increasing global threats and constrained naval resources. Utilizing AI and vast maritime data, the collaboration will provide unprecedented insights for defense and maritime domain awareness.
Technology Insights
The machine learning (ML) segment was the most significant contributor to market revenue in 2024. ML improves marine operations through analysis of enormous quantities of sensor and weather data to optimize routes, minimize fuel use, and enhance arrival time predictions, directly enhancing operational efficiency and sustainability. Predictive maintenance based on ML scrutinizes equipment sensor readings to predict failures, reducing costly downtime and repair costs. Key projects, for example, in February 2025, Digital Energy AI and Cyprus partnered to introduce to enhance fuel efficiency and lower emissions throughout the shipping sector. Through the use of sophisticated artificial intelligence technology, the collaboration is expected to assist operators in optimizing voyages and reducing environmental footprint. The project is a major
The computer vision segment is expected to demonstrate the highest CAGR during the forecast period. Computer vision technology is strongly driving expansion in the marine artificial intelligence sector by facilitating real-time monitoring, navigation, and automation. Its application in shipboard systems enables features like automated vessel inspection, anomaly detection, and object recognition, which improve safety and efficiency of operations. Computer vision is being utilized in ports for traffic management, cargo handling, and berth allocation to optimize turnaround times and minimize human error. Moreover, computer vision-based AI-powered surveillance enhances maritime security through the identification of unauthorized activity and possible threats. Environmental monitoring is also boosted by automatic detection of waste discharge and oil spills.
Application Insights
The route optimization & navigation segment held the highest market revenue share in 2024. These apps are greatly improving operational efficiency, safety, and sustainability. Route optimization using AI addresses real-time data, including weather, ocean currents, port congestions, and vessel performance dynamically compute the most efficient and safest routes, minimizing fuel consumption and travel time. This results in reduced operating costs and lower greenhouse gas emissions, in line with growing environmental controls. Furthermore, AI integration within navigation facilitates autonomous and semi-autonomous ships, allowing safer and more efficient journeys with less human intervention. The capacity of AI to analyze immense maritime data in real time also enhances predictive maintenance and decision-making, further increasing efficiency and decreasing downtime.
The cargo & vessel tracking segment is projected to have the highest CAGR during the forecast period. As international trade is growing stronger, AI-powered real-time tracking solutions are emerging as a must for improving supply chain transparency, optimizing routes, and ensuring safe cargo. Predictive maintenance, anomaly detection, and ETA estimation become possible through AI-based analytics, lowering downtime and operational costs. Port terminals and shipping lines are increasingly embracing such solutions to meet increasingly strict regulations, enhance efficiency, and achieve a competitive edge. The development of smart ports and integration of AIS and IoT sensors also fuel AI adoption. Also, the need for sustainability and fuel efficiency compels the stakeholders to adopt AI for voyage optimization. With the increased volume of maritime data, the capacity of AI to process and derive actionable information is revolutionizing decision-making and thus fueling market growth. This trend will continue.
Deployment Insights
The onboard systems segment had the highest market revenue share in 2024. The systems combine sophisticated sensors, edge computing, and AI algorithms to enhance navigation, fuel efficiency, and maintenance, lowering operational costs and improving safety. With shipping companies worldwide under mounting pressure to increase efficiency and meet environmental regulations, onboard AI systems provide scalable, vessel-level intelligence without requiring constant connectivity.
Grand gestures, for example, in November 2024, NautilusLog, supported by industry innovators and standards organizations DIN and JSTRA, introduced ISO 4891, a breakthrough global standard addressing the interoperability of smart shipboard applications. The new standard facilitates smooth interfacing and coordination among maritime digital systems, adding to operational performance, safety, and real-time data exchange. ISO 4891 is a major leap in the digitalization of the maritime sector, enabling more intelligent, safer, and more environmentally friendly shipping operations globally.
The cloud-based solutions market is expected to grow at the highest CAGR during the forecast period. Cloud technology provides scalability, flexibility, and instant access to data, allowing maritime businesses to consolidate multiple data streams from operations across the globe in an efficient manner. This enables advanced AI applications like predictive maintenance, route optimization, and fleet management that reduce operational costs and downtime while improving safety and decision-making. Cloud deployment also reduces the requirement for local IT infrastructure, lowering costs and maintenance complexity through automated updates.
Additionally, cloud platforms enable regulatory compliance and crew welfare management through centralized operations and up-to-date standards. With increasing maritime digitalization, cloud-based AI solutions play a central role in driving automation, operational efficiency, and sustainability initiatives, making them critical to the future of maritime artificial intelligence innovation and market growth.
End Use Insights
The commercial shipping segment held the highest market revenue share in 2024. AI technologies facilitate real-time route optimization, fuel consumption tracking, and predictive maintenance, lowering operational costs and enhancing vessel performance considerably. In busy routes and long-haul operations, AI systems facilitate dynamic decision-making, enabling ships to avoid delays, congestion, and bad weather.
Additionally, AI-driven cargo tracking and automated documentation are simplifying logistics and enhancing supply chain transparency. With growing environmental regulations, commercial fleets are also leveraging AI to track emissions and enhance sustainability initiatives. Demand for smart shipping solutions increases as international trade volumes grow and competition heat up, compelling shipping firms to keep their fleets updated with smart systems. This virtual shift throughout the commercial shipping industry is driving investment and innovation directly into the maritime artificial intelligence industry, making AI a key enabler of future shipping operations. The naval defense segment is expected to hold the highest CAGR during the forecast period. Naval defense employs artificial intelligence for increasing situational awareness, threat detection, and decision-making in real time. AI-based systems process sensor information from ships, drones, and satellites to detect possible threats like enemy ships, submarines, or unmanned systems.
Autonomous navigation and predictive analytics enhance mission planning, route optimization, and collision avoidance. Furthermore, AI enhances cybersecurity resilience and electronic warfare capabilities during naval operations. These developments substantially enhance maritime domain awareness and national defense readiness. Additionally, AI facilitates intelligent control of unmanned surface and underwater vehicles for reconnaissance and mine detection. Machine learning models assist in differentiating between false alarms and actual threats, lessening cognitive load on operators.
Regional Insights
North America held the lead in the maritime artificial intelligence market with a highest revenue share of 36.3% in 2024. With growth driven by rising demand for autonomous ships, security and safety standards, and fuel efficiency and environmental concerns. The combination of AI with IoT, big data analytics, and machine learning is streamlining navigation, predictive maintenance, and port automation. Regulatory encouragement and investments in intelligent port technologies further boost this growth. Besides, the pressure to decarbonize and reduce emissions in shipping drives AI uptake in the region.
U.S. Maritime Artificial Intelligence Market Trends
The U.S. maritime artificial Intelligence market is expected to grow at a notable CAGR during the forecast period. Substantial demand for operational efficiency, fuel optimization, and real-time monitoring in both commercial and defense ships. Autonomous and remotely operated ships, carbon emissions regulation, AI, IoT, and big data analytics growth drivers are specific to the U.S. market as well. Huge investments by top companies in integrated marine automation systems are also drivers for this growth path.
Europe Maritime Artificial Intelligence Market Trends
The European maritime AI market is set to experience at a high CAGR during the forecast period. The growth in the European market is mainly promoted by strict regulations on the environment such as the EU's FuelEU Maritime Regulation, which aims to reduce major greenhouse gas emissions, driving AI adoption for efficiency in fuel use and emissions control. Growing investments in smart port technology and AI-powered automation improve safety and operational efficiency. Growing demand for autonomous ships and sophisticated navigation systems also contribute to growth.
Asia Pacific Maritime Artificial Intelligence Market Trends
Asia Pacific's maritime artificial intelligence market is anticipated to record the highest CAGR during the forecast period. The market is stimulated by accelerating shipbuilding and port infrastructure growth, particularly in China, Japan, South Korea, and India, which are top fleet value and technological contributors. The rise of global trade and container traffic via some of the world's busiest ports spurs demand for AI-driven analytics and automation. Aggressive government policies and Industry 4.0 implementation, such as IoT, big data, and AI integration, are driving digital transformation in maritime operations.
Key Maritime AI Company Insights
Major maritime artificial intelligence players are Windward, Orca AI, Sea Machines Robotics, Rovco, and Nautilus Labs. Players operating in the maritime artificial intelligence space are targeting strongly at increasing their customer base and getting a competitive advantage over their competitors. Therefore, they undertake diverse strategic activities like partnerships, mergers & acquisitions, collaborations, and new product/ technology development. For example, in April 2025, CMA CGM Group unveiled a significant US$110 million investment in new-generation artificial intelligence technologies. This strategic action is reflective of the company's mission to transform through digital and be an innovator in the shipping and logistics industries. The investment will increase the efficiency of operations, improve supply chain management, and bring increased value to customers across the globe.
Anduril Industries builds a family of autonomous systems based on its own Lattice AI platform, providing integrated and persistent awareness and security on land, sea, and air at the tactical edge. At sea, Anduril provides extremely reliable and versatile autonomous underwater vehicles (AUVs) tailored for littoral and deep-water survey, inspection, and intelligence, surveillance, and reconnaissance (ISR) missions. These naval artificial intelligence systems facilitate a broad array of defense and commercial missions, improving situation awareness and operational efficiency in complex naval environments. By fusing leading-edge AI with combat-seasoned talent, Anduril develops autonomous defense technologies at the leading edge of innovation.
Blue Visby provides an innovative, multilateral platform for lowering greenhouse gas (GHG) emissions in the maritime sector by some 15%. The firm solves the inefficiency of the "Sail Fast, Then Wait" practice by using advanced data analytics and AI to optimize vessel arrival times and voyage speeds. Their solution allows ships to coordinate and adjust their speeds dynamically, reducing fuel consumption and emissions while keeping operations efficient. Blue Visby's business revolves around revolutionizing maritime logistics with AI-driven insights for a sustainable shipping industry.
Key Maritime AI Companies
The following are the leading companies in the maritime artificial intelligence market. These companies collectively hold the largest market share and dictate industry trends.
- Anduril Industries
- Awake.AI
- Blue Visby Services Ltd.
- Blue Water Autonomy
- Domino Data Lab
- EyeROV
- Nautilus Labs
- OrbitMI
- Orca AI
- Rovco
- Saildrone
- Sea Machines Robotics
- Spire Global
- ThayerMahan
- Windward
Recent Developments
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In July 2024, Bearing AI launched an upgraded AI-driven Deployment Planner tailored to tramp shipping operators, focusing on their distinct operational needs. The software applies sophisticated AI to process historical and real-time information, allowing operators to maximize vessel deployment, fuel efficiency, and emissions management. By forecasting year-end vessel performance and aiding strategic decision-making, the Deployment Planner balances commercial aspirations with environmental requirements. This innovation is an important step toward smarter, more sustainable tramp shipping operations.
In June 2024, Windward and Dataminr partnered to provide AI-powered, real-time alerting solutions for the maritime sector. This collaboration allows for quick response to maritime threats and operational risks by merging Windward's sophisticated maritime analytics with Dataminr's real-time event detection. The collaboration seeks to enhance situational awareness and decision-making for maritime stakeholders globally.
Maritime Artificial Intelligence Market Report Scope
|
Report Attribute |
Details |
|
Market size value in 2024 |
USD 5,949.6 million |
|
Revenue forecast in 2030 |
USD 32,733.3 million |
|
Growth rate |
CAGR of 40.6% from 2025 to 2035 |
|
Base year for estimation |
2024 |
|
Historical data |
2017 - 2023 |
|
Forecast period |
2025 - 2035 |
|
Quantitative units |
Revenue in USD billion/million and CAGR from 2025 to 2035 |
|
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
|
Segments covered |
Component, technology, application, deployment, end use, region |
|
Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
|
Country scope |
U.S.; Canada; Mexico; Germany; UK; France; China; India; Japan; Australia; South Korea; Brazil; UAE; South Africa; KSA |
|
Key companies profiled |
Anduril Industries; Awake.AI; Blue Visby; Blue Water Autonomy; Domino Data Lab; EyeROV; Nautilus Labs; OrbitMI; Orca AI; Rovco; Saildrone; Sea Machines Robotics; Spire Global; ThayerMahan; Windward |
|
Customization scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
|
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
Global Maritime Artificial Intelligence Market Report Segmentation
Component Outlook (Revenue, USD Million, 2017 - 2035)
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Hardware
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Software
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Services
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Technology Outlook (Revenue, USD Million, 2017 - 2035)
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Natural Language Processing
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Machine Learning
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Computer Vision
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Robotics & Autonomous Systems
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Application Outlook (Revenue, USD Million, 2017 - 2035)
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Navigation & Route Optimization
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Predictive Maintenance
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Port Operations & Management
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Vessel & Cargo Tracking
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Surveillance & Security
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Autonomous Shipping
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Deployment Outlook (Revenue, USD Million, 2017 - 2035)
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Onboard Systems
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Cloud-Based Solutions
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End Use Outlook (Revenue, USD Million, 2017 - 2035)
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Commercial Shipping
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Energy & Utilities
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Warehouse & Logistics
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Port Authorities
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Fishing Industry
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Offshore Energy
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Regional Outlook (Revenue, USD Million, 2017 - 2035)
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North America
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U.S.
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Canada
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Mexico
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Europe
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UK
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Germany
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France
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Asia Pacific
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China
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India
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Japan
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Australia
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South Korea
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Latin America
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Brazil
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MEA
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UAE
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South Africa
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KSA
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