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海運市場人工智慧（按組件、技術、應用、最終用戶和部署） - 2025-2030 年全球預測

Artificial Intelligence in Maritime Market by Component, Technology, Application, End-User, Deployment - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 192 Pages | 商品交期: 最快1-2個工作天內

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預計2024年海運人工智慧市場價值將達42.8億美元，2025年將達48.8億美元，複合年成長率為14.33%，到2030年將達到95.7億美元。

主要市場統計數據
基準年 2024 年 42.8億美元
預計 2025 年 48.8億美元
預測年份 2030 95.7億美元
複合年成長率（%） 14.33%

在數位轉型快速發展的時代，航運業正經歷由人工智慧驅動的深刻變革。人工智慧已成為創新的催化劑，將傳統的航運實踐轉變為高度複雜的資料主導的營運。本介紹概述了人工智慧帶來的前所未有的機會以及航運公司在將最尖端科技整合到現有系統中時面臨的挑戰。

航運公司擴大使用人工智慧來提高業務效率、最佳化航線規劃和改進安全通訊協定。依賴手工勞動的歷史過程正在被能夠即時分析和預測決策的強大系統所取代。隨著全球貿易擴大和供應鏈變得更加複雜，對彈性和先進技術解決方案的需求從未如此強烈。在數位化時代，能夠利用科技做出更有洞察力和及時的決策的公司具有競爭優勢。

此外，人工智慧在航運領域的整合不僅限於營運方面的增強。我們正在透過將先進的機器學習演算法、電腦視覺和預測分析融入我們的日常工作流程中來重新定義策略規劃。這種轉型為行業領導者提供了一個獨特的機會，可以重塑經營模式，經營模式更具適應性、更有效率和以客戶為中心。這裡的討論為更深入地探索改變海上業務格局的趨勢奠定了基礎，並對未來發展提供了令人信服的預測。

人工智慧如何改變海洋格局

近年來，隨著人工智慧的引入，產業格局發生了重大變化。隨著先進技術的引入，傳統模式正在被重新定義，這些技術不僅簡化了操作，而且徹底改變了決策流程。

曾經依賴過時的導航、貨物管理和預測性維護的組織現在正在採用全面的人工智慧主導的解決方案。這些技術有助於即時情境察覺，使航運公司能夠對不斷變化的情況做出快速反應。加強船舶監控、先進的預測分析和自適應物流策略提高了安全標準並提高了業務效率。自主導航和先進模式識別系統等新功能正在迅速改變競爭格局。

營運的轉變不僅限於設備和軟體，還涉及最佳化整個海洋生態系統的策略方法。一種新趨勢正在出現，將傳統的海事實踐與數位轉型框架相結合，從而實現更智慧的船隊管理和更可靠的貨物處理。這個範式建立在不斷創新的基礎上，電腦視覺、機器學習和機器人等元素加速了人工智慧的應用。為了在動態的全球市場中保持競爭力，該領域的領導者現在必須重新考慮他們的長期策略，以使他們的業務目標與技術能力保持一致。

關鍵細分洞察 元件、技術與應用分析

對市場進行細分可以獲得清晰的見解，這些見解對於理解人工智慧對航運的影響至關重要。根據組件評估市場，可以看出研究包括硬體、服務和軟體。硬體領域進一步分為微處理器和感測器，作為資料收集和即時監控的骨幹。服務包括諮詢、安裝、整合、維護和支持，以確保您的技術實施得到長期最佳化和維護。同時，軟體部門專注於人工智慧演算法和資料管理系統，為加強分析能力和決策支援系統做出貢獻。

從技術角度分析市場，一些關鍵技術包括電腦視覺、機器學習、自然語言處理和與自主系統結合的機器人技術。每個技術支柱都為營運動態做出了獨特的貢獻，提高了安全性和效率。

基於應用的細分深入涉及物料處理、車隊管理和預測性維護等領域。這裡，貨物處理還包括自動化倉庫管理、負載最佳化和供應鏈追蹤。從燃料消耗、資源分配和路線最佳化等方面分析車隊管理。預測性維護分為狀態監控、故障預測和即時診斷，對於防止停機和降低營運成本至關重要。

此外，根據最終用戶對市場進行細分，將重點轉移到物流服務供應商、海防、港口營運商和航運公司。進一步細分，從貨運代理、第三方物流和倉儲三個角度檢視物流服務提供者。透過清關和文書工作、裝卸和交通管理等流程對港口營運商進行評估。航運線路分析涵蓋散貨、貨櫃和油輪托運人子類別。最後，按部署細分可以區分基於雲端基礎和內部部署策略。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 引進基於人工智慧的威脅偵測系統，加強海上作業的網路安全
      • 人工智慧增強通訊系統無縫整合人類和機器人海上作業
      • 海上航行人工智慧可提高安全性和效率，開啟新的投資管道
    • 限制因素
      • 海上作業人工智慧應用中的網路安全威脅和資料隱私問題日益嚴重
    • 機會
      • 人工智慧天氣預報解決方案提供了避免惡劣海洋天氣的關鍵見解。
      • 技術進步推動人工智慧在海運和海運最佳化的應用
    • 任務
      • 海上作業中使用的人工智慧技術對環境的潛在影響
  • 市場區隔分析
    • 組成部分：增加使用具有人工智慧演算法和資料管理系統的軟體
    • 部署：利用可擴展、靈活且經濟高效的雲端基礎的部署
  • 波特五力分析
  • PESTEL 分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

6. 海運市場人工智慧各組成部分

  • 硬體
    • 微處理器
    • 感應器
  • 服務
    • 諮詢服務
    • 安裝和整合
    • 維護和支援
  • 軟體
    • 人工智慧演算法
    • 資料管理系統

7. 海運市場人工智慧技術

  • 電腦視覺
  • 機器學習
  • 自然語言處理
  • 機器人與自主系統

第 8 章 海運市場中的人工智慧應用

  • 貨物處理
    • 自動化倉庫
    • 負載最佳化
    • 供應鏈追蹤
  • 車隊管理
    • 燃油經濟性
    • 資源分配
    • 路線最佳化
  • 預測性維護
    • 狀態監測
    • 故障預測
    • 即時診斷

第9章 海運市場中的人工智慧（按最終用戶分類）

  • 物流服務供應商
    • 貨運代理
    • 第三方物流
    • 倉庫存放
  • 海軍防禦
  • 港口營運商
    • 海關和文件
    • 裝卸
    • 交通管理
  • 航運公司
    • 散裝托運人
    • 貨櫃運輸公司
    • 油輪船東

第 10 章。

  • 雲端基礎的部署
  • 本地部署

第 11 章。

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

12. 亞太海事人工智慧市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

13. 歐洲、中東和非洲海運市場人工智慧

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第14章 競爭格局

  • 2024 年市場佔有率分析
  • FPNV 定位矩陣，2024 年
  • 競爭情境分析
  • 戰略分析與建議

公司列表

  • ABB Ltd.
  • BAE Systems plc
  • C3.ai, Inc.
  • Consilium AB
  • Daewoo Shipbuilding & Marine Engineering Co., Ltd. by Hanwha Group
  • Deep Sea Technologies by NABCO, Ltd.
  • Furuno Electric Co., Ltd.
  • Google LLC by Alphabet Inc.
  • Hyundai Heavy Industries Co., Ltd.
  • IBM Corporation
  • Kongsberg Gruppen ASA
  • Microsoft Corporation
  • NauticAI Oy
  • Nautilus Labs, Inc. by Danelec Marine A/S
  • Northrop Grumman Corporation
  • Orca AI Ltd
  • Rolls-Royce Holdings plc
  • Samsung Heavy Industries Co., Ltd.
  • SAP SE
  • ShipIn Systems
  • Thales Group
  • Wartsila Corporation
Product Code: MRR-2C19BD4C516B

The Artificial Intelligence in Maritime Market was valued at USD 4.28 billion in 2024 and is projected to grow to USD 4.88 billion in 2025, with a CAGR of 14.33%, reaching USD 9.57 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 4.28 billion
Estimated Year [2025] USD 4.88 billion
Forecast Year [2030] USD 9.57 billion
CAGR (%) 14.33%

In the rapidly evolving era of digital transformation, the maritime industry is experiencing a profound shift driven by artificial intelligence. AI has emerged as a catalyst for innovation, transforming traditional shipping practices into highly sophisticated, data-driven operations. This introduction outlines the unprecedented opportunities enabled by AI, as well as the challenges that maritime enterprises face when integrating cutting-edge technologies into established systems.

Maritime organizations are increasingly leveraging AI to enhance operational efficiency, optimize route planning, and improve safety protocols. Historical reliance on manual processes is being replaced by robust systems capable of real-time analytics and predictive decision-making. As global trade continues to expand and supply chains become more complex, the need for resilience and advanced technological solutions has never been greater. In the age of digitalization, competitive advantage goes to those who can harness technology to make more insightful, timely decisions.

Furthermore, the integration of AI in maritime is not solely confined to operational enhancements. It is redefining strategic planning by embedding advanced machine learning algorithms, computer vision, and predictive analytics into everyday workflows. This transformation presents a unique opportunity for industry leaders to reimagine their business models, making them more adaptive, efficient, and customer-centric. The discussion here sets the stage for an exploration of the deeper trends that are reshaping the landscape of maritime operations, offering a compelling preview of what the future holds.

Transformative Shifts in the Maritime Landscape Driven by AI

In recent years, transformative shifts in the maritime landscape have been propelled by the infusion of artificial intelligence across multiple dimensions of the industry. Traditional models are being redefined by the implementation of advanced technologies that not only streamline operations but also revolutionize decision-making processes.

Organizations that once depended on outdated navigation, cargo management, and predictive maintenance practices are now embracing comprehensive AI-driven solutions. These technologies facilitate real-time situational awareness, enabling maritime companies to react quickly to changing conditions. Enhanced vessel monitoring, advanced predictive analytics, and adaptive logistics strategies have resulted in improved safety standards and operational efficiencies. New capabilities such as autonomous vessel navigation and sophisticated pattern recognition systems are rapidly altering the competitive framework.

Operational shifts extend beyond equipment and software to include strategic methodologies that optimize the entire maritime ecosystem. There is an emergent trend of integrating traditional maritime practices with digital transformation frameworks, leading to smarter fleet management and more reliable cargo handling. This paradigm is built on continuous innovation, where factors such as computer vision, machine learning, and robotics accelerate the adoption of AI. Leaders in the field are now compelled to reconsider their long-term strategies, aligning business objectives with technological potential in order to maintain a competitive edge in a dynamic global market.

Key Segmentation Insights: Analyzing the Components, Technologies, and Applications

The segmentation of the market reveals distinct insights that are crucial for understanding the impact of artificial intelligence in maritime. When evaluating the market based on component, one observes that the study encompasses hardware, services, and software. The hardware domain further dissects into microprocessors and sensors, which serve as the backbone for data acquisition and real-time monitoring. Services span consulting, installation and integration, as well as maintenance and support, ensuring that technological implementations are optimized and sustained over time. Concurrently, the software segment, with its focus on AI algorithms and data management systems, is instrumental in powering analytic capabilities and decision support systems.

Examining the market through the lens of technology, a thorough analysis includes computer vision, machine learning, natural language processing, and robotics coupled with autonomous systems. Each of these technology pillars contributes uniquely to the operational dynamics, enhancing both safety and efficiency.

The application-based segmentation delves into areas such as cargo handling, fleet management, and predictive maintenance. Here, cargo handling further includes automated warehousing, load optimization, and supply chain tracking. Fleet management is analyzed in terms of fuel consumption, resource allocation, and the optimization of routes. Predictive maintenance is detailed into condition monitoring, failure prediction, and real-time diagnostics, which are critical for preventing downtime and reducing operational costs.

Additionally, when the market is segmented by end-user, the focus shifts towards logistics service providers, naval defense, port operators, and shipping companies. Further disaggregation shows that logistics service providers are examined with respect to freight forwarders, third-party logistics, and warehousing. Port operators are evaluated through their processes in customs and documentation, loading and unloading, and traffic management. Shipping companies are analyzed across the subcategories of bulk, container, and tanker shippers. Finally, a segmentation by deployment distinguishes between cloud-based and on-premise deployment strategies, which are essential considerations for future-proofing maritime operations.

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Microprocessors and Sensors. The Services is further studied across Consulting Services, Installation and Integration, and Maintenance and Support. The Software is further studied across AI Algorithms and Data Management Systems.

Based on Technology, market is studied across Computer Vision, Machine Learning, Natural Language Processing, and Robotics & Autonomous Systems.

Based on Application, market is studied across Cargo Handling, Fleet Management, and Predictive Maintenance. The Cargo Handling is further studied across Automated Warehousing, Load Optimization, and Supply Chain Tracking. The Fleet Management is further studied across Fuel Consumption, Resource Allocation, and Route Optimization. The Predictive Maintenance is further studied across Condition Monitoring, Failure Prediction, and Real-Time Diagnostics.

Based on End-User, market is studied across Logistics Service Providers, Naval Defense, Port Operators, and Shipping Companies. The Logistics Service Providers is further studied across Freight Forwarders, Third-Party Logistics, and Warehousing. The Port Operators is further studied across Customs & Documentation, Loading & Unloading, and Traffic Management. The Shipping Companies is further studied across Bulk Shippers, Container Shippers, and Tanker Shippers.

Based on Deployment, market is studied across Cloud-Based Deployment and On-Premise Deployment.

Key Regional Insights: Navigating the AI-Driven Maritime Transformation Globally

A comprehensive analysis from a regional perspective reveals that advancements in AI are not uniformly distributed but are influenced by local economic structures and regulatory frameworks. In regions such as the Americas, technological adoption is accelerating in direct response to the necessity for modernized infrastructure and energy-efficient operations. This region is characterized by robust innovation ecosystems that promote rapid integration of automated technologies into existing maritime operations.

In the combined region of Europe, Middle East, and Africa, diverse regulatory environments and varying levels of technological maturity produce a unique blend of market dynamics. European practices, known for strict compliance and environmental stewardship, are being enhanced by next-generation AI systems, while the Middle East and Africa are witnessing burgeoning opportunities driven by investments in port infrastructure and logistics modernization.

The Asia-Pacific region emerges as a pivotal hub where economic growth and intense competition fuel the rapid adoption of AI in maritime settings. Here, the convergence of increasing trade volumes and evolving digital infrastructures makes it imperative for companies to integrate smart technologies. Each of these regions contributes distinct regional nuances that not only shape market dynamics but also create opportunities for cross-border collaboration and innovation.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Insights: Profiling the Leaders Shaping the AI Maritime Frontier

An analysis of the competitive landscape reveals a constellation of influential players who are instrumental in steering the future of AI in maritime. Industry leaders such as ABB Ltd. and BAE Systems plc have built reputations on robust engineering and technology integration, positioning themselves as major players in implementing both operational solutions and strategic innovations. Companies like C3.ai, Inc. and Consilium AB are at the forefront of developing sophisticated algorithms and data management systems, playing a pivotal role in adapting AI to maritime-specific challenges.

Deep-rooted industrial champions such as Daewoo Shipbuilding & Marine Engineering Co., Ltd. by Hanwha Group and Hyundai Heavy Industries Co., Ltd. are adept at integrating traditional shipbuilding expertise with new digital technologies, creating hybrid solutions that cater to an evolving market. Meanwhile, pioneering technology entities like Google LLC by Alphabet Inc. and IBM Corporation offer vast experience in data handling and cloud-based solutions, essential for ensuring the scalability and resiliency of maritime operations.

Emerging innovators such as Deep Sea Technologies by NABCO, Ltd., Furuno Electric Co., Ltd., and NauticAI Oy contribute through specialized solutions that address specific operational challenges in navigation and vessel management. Other significant players such as Kongsberg Gruppen ASA, Microsoft Corporation, and Northrop Grumman Corporation are leveraging next-generation solutions to offer unparalleled situational awareness and system integration. Not to be overlooked, entities like Orca AI Ltd and Rolls-Royce Holdings plc underscore the importance of agility and customization in AI implementations across modern fleets. The competitive dynamics are further enriched by the offerings from Samsung Heavy Industries Co., Ltd., SAP SE, ShipIn Systems, Thales Group, and Wartsila Corporation, all of which drive the future-forward conversations in maritime digital transformation.

The report delves into recent significant developments in the Artificial Intelligence in Maritime Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., BAE Systems plc, C3.ai, Inc., Consilium AB, Daewoo Shipbuilding & Marine Engineering Co., Ltd. by Hanwha Group, Deep Sea Technologies by NABCO, Ltd., Furuno Electric Co., Ltd., Google LLC by Alphabet Inc., Hyundai Heavy Industries Co., Ltd., IBM Corporation, Kongsberg Gruppen ASA, Microsoft Corporation, NauticAI Oy, Nautilus Labs, Inc. by Danelec Marine A/S, Northrop Grumman Corporation, Orca AI Ltd, Rolls-Royce Holdings plc, Samsung Heavy Industries Co., Ltd., SAP SE, ShipIn Systems, Thales Group, and Wartsila Corporation. Actionable Recommendations for Industry Leaders: Strategies for a Digital Future

Industry leaders must adopt a strategic approach to remain competitive in an increasingly dynamic environment. The rapid evolution brought about by AI calls for multifaceted recommendations, focusing on both immediate implementation and long-term innovation.

First, it is essential for decision-makers to form cross-functional teams that include experts from technology, operations, and strategic planning. This collaboration will ensure that companies are not only reactive but can also intelligently anticipate market trends. Embracing comprehensive training programs to upgrade internal skills and invest in continuous learning is critical for integrating this disruptive technology successfully.

Moreover, establishing partnerships with technology providers, research institutions, and even competitors can lead to mutual benefits and accelerated progress. Such alliances pave the way for shared knowledge and the co-creation of solutions that are robust and scalable. Leaders should also commit to a digital-first mindset, upgrading legacy systems and making data a central asset in the decision-making process.

Finally, fostering a culture that is receptive to change is paramount. The ability to quickly pivot and adapt to new technological breakthroughs, while carefully managing risks, will be a determining factor for future success. By carefully evaluating deployment strategies - whether cloud-based or on-premise - leaders can establish resilient infrastructures that support both growth and operational continuity.

Conclusion: Summing Up the AI-Driven Transformation in Maritime

In conclusion, the integration of artificial intelligence into the maritime industry stands as a transformative milestone. The rigorous analysis across segmentation, regional insights, and competitive landscapes underscores a clear trend: the maritime sector is on the cusp of a fundamental reshaping driven by innovative technologies.

The evolution toward smarter, data-centric operations is not without its challenges, yet the opportunities for enhanced efficiency and improved decision-making are immense. As companies recalibrate their strategies to meet these advancements, the industry can expect increased collaboration, regulatory evolution, and ultimately a more resilient operational framework.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Adopting AI-enabled threat detection systems to bolster cybersecurity in maritime operations
      • 5.1.1.2. AI-enhanced communication systems for seamless integration of human and robotic maritime operations
      • 5.1.1.3. AI in maritime navigation can enhance safety and efficiency, opening new investment avenues
    • 5.1.2. Restraints
      • 5.1.2.1. Rise in cybersecurity threats and data privacy concerns in AI applications in maritime operations
    • 5.1.3. Opportunities
      • 5.1.3.1. AI-enhanced weather forecasting solutions provide crucial insights to avoid adverse maritime weather conditions
      • 5.1.3.2. Technological advancements promoting AI usage for optimizing maritime transport and shipping
    • 5.1.4. Challenges
      • 5.1.4.1. The potential environmental impact of AI technologies used in maritime operations
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Increasing use of software due to AI algorithms and data management systems
    • 5.2.2. Deployment: Utlization of cloud-based deployment for its scalability, flexibility and cost-efficiency
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Maritime Market, by Component

  • 6.1. Introduction
  • 6.2. Hardware
    • 6.2.1. Microprocessors
    • 6.2.2. Sensors
  • 6.3. Services
    • 6.3.1. Consulting Services
    • 6.3.2. Installation and Integration
    • 6.3.3. Maintenance and Support
  • 6.4. Software
    • 6.4.1. AI Algorithms
    • 6.4.2. Data Management Systems

7. Artificial Intelligence in Maritime Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Machine Learning
  • 7.4. Natural Language Processing
  • 7.5. Robotics & Autonomous Systems

8. Artificial Intelligence in Maritime Market, by Application

  • 8.1. Introduction
  • 8.2. Cargo Handling
    • 8.2.1. Automated Warehousing
    • 8.2.2. Load Optimization
    • 8.2.3. Supply Chain Tracking
  • 8.3. Fleet Management
    • 8.3.1. Fuel Consumption
    • 8.3.2. Resource Allocation
    • 8.3.3. Route Optimization
  • 8.4. Predictive Maintenance
    • 8.4.1. Condition Monitoring
    • 8.4.2. Failure Prediction
    • 8.4.3. Real-Time Diagnostics

9. Artificial Intelligence in Maritime Market, by End-User

  • 9.1. Introduction
  • 9.2. Logistics Service Providers
    • 9.2.1. Freight Forwarders
    • 9.2.2. Third-Party Logistics
    • 9.2.3. Warehousing
  • 9.3. Naval Defense
  • 9.4. Port Operators
    • 9.4.1. Customs & Documentation
    • 9.4.2. Loading & Unloading
    • 9.4.3. Traffic Management
  • 9.5. Shipping Companies
    • 9.5.1. Bulk Shippers
    • 9.5.2. Container Shippers
    • 9.5.3. Tanker Shippers

10. Artificial Intelligence in Maritime Market, by Deployment

  • 10.1. Introduction
  • 10.2. Cloud-Based Deployment
  • 10.3. On-Premise Deployment

11. Americas Artificial Intelligence in Maritime Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Artificial Intelligence in Maritime Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Maritime Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Windward and Dataminr partner to enhance AI-driven real-time maritime alert systems
    • 14.3.2. Mitsubishi Heavy Industries launch AIRIS for enhanced maritime surveillance
    • 14.3.3. CMA CGM partners with Google to innovate maritime logistics through AI integration
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ABB Ltd.
  • 2. BAE Systems plc
  • 3. C3.ai, Inc.
  • 4. Consilium AB
  • 5. Daewoo Shipbuilding & Marine Engineering Co., Ltd. by Hanwha Group
  • 6. Deep Sea Technologies by NABCO, Ltd.
  • 7. Furuno Electric Co., Ltd.
  • 8. Google LLC by Alphabet Inc.
  • 9. Hyundai Heavy Industries Co., Ltd.
  • 10. IBM Corporation
  • 11. Kongsberg Gruppen ASA
  • 12. Microsoft Corporation
  • 13. NauticAI Oy
  • 14. Nautilus Labs, Inc. by Danelec Marine A/S
  • 15. Northrop Grumman Corporation
  • 16. Orca AI Ltd
  • 17. Rolls-Royce Holdings plc
  • 18. Samsung Heavy Industries Co., Ltd.
  • 19. SAP SE
  • 20. ShipIn Systems
  • 21. Thales Group
  • 22. Wartsila Corporation

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET MULTI-CURRENCY
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET MULTI-LANGUAGE
  • FIGURE 3. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET RESEARCH PROCESS
  • FIGURE 4. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN MARITIME MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY MICROPROCESSORS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY INSTALLATION AND INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY MAINTENANCE AND SUPPORT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY AI ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DATA MANAGEMENT SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY ROBOTICS & AUTONOMOUS SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY AUTOMATED WAREHOUSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOAD OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SUPPLY CHAIN TRACKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FUEL CONSUMPTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY RESOURCE ALLOCATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CONDITION MONITORING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FAILURE PREDICTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY REAL-TIME DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FREIGHT FORWARDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY THIRD-PARTY LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY WAREHOUSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY NAVAL DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CUSTOMS & DOCUMENTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOADING & UNLOADING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TRAFFIC MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY BULK SHIPPERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CONTAINER SHIPPERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TANKER SHIPPERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CLOUD-BASED DEPLOYMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY ON-PREMISE DEPLOYMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 62. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 63. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 64. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 65. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 66. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 67. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 68. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 69. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 70. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 71. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 73. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 74. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 75. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 76. AMERICAS ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 77. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 78. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 79. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 80. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 81. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 82. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 84. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 85. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 86. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 87. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 88. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 89. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 90. ARGENTINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 91. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 92. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 93. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 94. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 95. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 96. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 98. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 99. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 100. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 101. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 102. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 103. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 104. BRAZIL ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 105. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 106. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 107. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 108. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 109. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 110. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 112. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 113. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 114. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 115. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 116. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 117. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 118. CANADA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 119. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 120. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 121. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 122. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 123. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 124. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 126. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 127. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 128. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 130. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 131. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 132. MEXICO ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 133. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 134. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 135. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 136. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 137. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 138. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 139. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 140. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 141. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 142. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 143. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 144. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 146. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 147. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 148. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 149. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 150. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 151. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 152. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 153. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 154. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 155. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 156. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 157. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 158. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 159. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 160. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 161. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 162. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 163. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 164. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 165. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 166. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 167. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 168. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 169. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 170. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 171. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 172. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 173. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 174. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 175. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 176. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 177. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 179. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 180. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 181. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 182. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 183. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 184. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 185. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 186. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 187. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 188. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 189. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 190. CHINA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 191. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 192. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 193. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 194. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 195. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 196. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 197. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 198. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 199. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 200. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 201. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 202. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 203. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 204. INDIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 205. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 206. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 207. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 208. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 209. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 210. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 211. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 212. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 213. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 214. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 215. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 216. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 217. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 218. INDONESIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 219. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 220. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 221. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 222. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 223. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 224. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 225. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 226. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 227. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 228. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 229. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 230. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 231. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 232. JAPAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 233. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 234. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 235. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 236. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 237. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 238. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 239. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 240. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 241. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 242. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 243. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 244. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 245. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 246. MALAYSIA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 247. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 248. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 249. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 250. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 251. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 252. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 253. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 254. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 255. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 256. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 257. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 258. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 259. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 260. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 261. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 262. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 263. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 264. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 265. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 266. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 267. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 268. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 269. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 270. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 271. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 272. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 273. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 274. SINGAPORE ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 275. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 276. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 277. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 278. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 279. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 280. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 281. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY CARGO HANDLING, 2018-2030 (USD MILLION)
  • TABLE 282. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
  • TABLE 283. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
  • TABLE 284. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 285. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY LOGISTICS SERVICE PROVIDERS, 2018-2030 (USD MILLION)
  • TABLE 286. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY PORT OPERATORS, 2018-2030 (USD MILLION)
  • TABLE 287. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SHIPPING COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 288. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 289. TAIWAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 290. TAIWAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 291. TAIWAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 292. TAIWAN ARTIFICIAL INTELLIGENCE IN MARITIME MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 293. TAIWAN ARTIFICIAL INTELLIGENCE IN MARITIME MAR