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市場調查報告書
商品編碼
1570553

自主船舶市場、機會、成長動力、產業趨勢分析與預測,2024-2032

Autonomous Ships Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年,全球自主船舶市場資料達 61 億美元,預計 2024 年至 2032 年複合年成長率將超過 10%。交換和資料傳輸成為可能。這種增強的連接性可以實現更好的協調、路線最佳化和及時維護,從而提高營運效率並節省成本。

物聯網 (IoT) 設備和進階分析的整合透過提供有價值的見解和預測性維護功能,進一步支援自主運輸的發展。例如,2023 年 5 月,L3Harris Technologies 與 BigBear.ai 合作,將人工智慧和先進的自主水面車輛 (ASV) 用於當前和未來的海洋防禦項目。

整個產業分為船舶類型、自主性、產品、最終用戶、推進系統和區域。

根據船舶類型,市場分為商用和軍用。預計 2024 年至 2032 年商業領域的複合年成長率將達到 10%。此細分市場涉及客船和貨船,有助於市場成長。自主船舶市場的商業部分著重於將自主技術整合到各種商業航運應用中,包括貨物運輸、散裝運輸和貨櫃裝卸。該部門也透過使用自主系統進行路線最佳化、貨物裝卸和船舶管理,提高海上營運的效率、安全性和成本效益。

根據自主性,自主船舶市場分為半自主、完全自主和遠端操作。預計到 2032 年,完全自主部分的價值將超過 50 億美元。這些船舶利用人工智慧、機器學習和感測器系統等先進技術來自主導航、決策和執行任務。

2023年,亞太地區將引領全球自主船舶市場,佔超過30%。由於其在全球貿易和航運中的戰略重要性,該地區正在經歷市場的顯著成長。日本、中國和韓國等國家在自主海事技術的研發方面投入了大量資金,處於領先地位。強大的造船業和先進的技術能力正在推動該地區自主船舶的開發和部署。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商矩陣
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 增強的連接性和整合性
      • 海事利害關係人的支持
      • 軍事和國防應用
      • 對高效運輸的需求不斷成長
      • 採用數位孿生
    • 產業陷阱與挑戰
      • 監管和法律挑戰
      • 初始成本高
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按船舶類型,2021 - 2032 年

  • 主要趨勢
  • 商業的
    • 客船
    • 貨船
  • 軍隊

第 6 章:市場估計與預測:按 Autonomy,2021 - 2032 年

  • 主要趨勢
  • 半自主
  • 完全自主
  • 遠端操作

第 7 章:市場估計與預測:按產品分類,2021 - 2032 年

  • 主要趨勢
  • 硬體
    • 感測器(雷達、LiDAR、攝影機)
    • 導航系統(GPS、慣性導航)
    • 推進系統
    • 通訊系統
  • 軟體
    • 車隊管理軟體
    • 數據分析軟體
    • 其他
  • 服務

第 8 章:市場估計與預測:按最終用戶分類,2021 - 2032 年

  • 主要趨勢
  • 生產線安裝與新建
  • 改造

第 9 章:市場估計與預測:按推進力,2021 - 2032 年

  • 主要趨勢
  • 全電動
  • 混合
  • 傳統的

第 10 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯
    • MEA 的其餘部分

第 11 章:公司簡介

  • ABB Ltd.
  • Aselsan A.S.
  • Bae Systems
  • Dnv GL
  • Fugro
  • General Electric
  • Honeywell International Inc.
  • Hyundai Heavy Industries
  • Kongsberg Maritime
  • L3Harris Technologies
  • Mitsui E&S Shipbuilding Co., Ltd.
  • Northrop Grumman Corporation
  • Praxis Automation Technology B.V.
  • RH Marine
  • Rolls-Royce Plc
  • Samsung Heavy Industries Co., Ltd.
  • Sea Machines Robotics, Inc.
  • Siemens AG
  • Ulstein
  • Valmet
  • Vigor Industrial LLC
  • Wartsila
簡介目錄
Product Code: 10580

The Global Autonomous Ships Market size was valued at USD 6.1 billion in 2023 and is expected to grow at over 10% CAGR between 2024 and 2032. The increasing availability and reliability of satellite communication and other advanced connectivity solutions are enabling real-time data exchange and remote monitoring of autonomous ships. This enhanced connectivity allows for better coordination, route optimization, and timely maintenance, leading to improved operational efficiency and cost savings.

The integration of Internet of Things (IoT) devices and advanced analytics further supports the growth of autonomous shipping by providing valuable insights and predictive maintenance capabilities. For instance, in May 2023, AI and sophisticated autonomous surface vehicles (ASVs) were being made available to present and future marine defense programs by L3Harris Technologies in collaboration with BigBear.ai.

The overall industry is divided into ship type, autonomy, offering, end-user, propulsion and region.

Based on ship type, the market is divided into commercial and military. The commercial segment is anticipated to register 10% CAGR during 2024-2032. This segment involves passenger vessels and cargo vessels, which contribute to market growth. The commercial segment of the autonomous ships market focuses on integrating autonomous technologies into various commercial shipping applications, including cargo transportation, bulk shipping, and container handling. This segment also enhances the efficiency, safety, and cost-effectiveness of maritime operations by using autonomous systems for route optimization, cargo handling, and vessel management.

Based on autonomy, the autonomous ships market is classified into semi-autonomous, fully autonomous, and remotely operated. The fully autonomous segment is anticipated to reach over USD 5 billion by 2032. The fully autonomous segment represents a transformative shift in maritime operations, indicated by vessels that work without human intervention on board. These ships leverage advanced technologies such as AI, machine learning, and sensor systems to navigate, make decisions, and perform tasks autonomously.

Asia-Pacific led the global autonomous ships market in 2023, accounting for a share of over 30%. The region is experiencing significant growth in the market due to its strategic importance in global trade and shipping. Countries, such as Japan, China, and South Korea are leading the charge with substantial investments in R&D of autonomous maritime technologies. The strong shipbuilding sector and advanced technological capabilities are driving the development and deployment of autonomous vessels in the region.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Enhanced connectivity and integration
      • 3.8.1.2 Support from maritime stakeholders
      • 3.8.1.3 Military and defense applications
      • 3.8.1.4 Rising demand for efficient shipping
      • 3.8.1.5 Adoption of digital twins
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 Regulatory and legal challenges
      • 3.8.2.2 High initial costs
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Ship Type, 2021 - 2032 (USD Million)

  • 5.1 Key trends
  • 5.2 Commercial
    • 5.2.1 Passenger vessels
    • 5.2.2 Cargo vessels
  • 5.3 Military

Chapter 6 Market Estimates and Forecast, By Autonomy, 2021 - 2032 (USD Million)

  • 6.1 Key trends
  • 6.2 Semi-Autonomous
  • 6.3 Fully autonomous
  • 6.4 Remotely operated

Chapter 7 Market Estimates and Forecast, By Offering, 2021 - 2032 (USD Million)

  • 7.1 Key trends
  • 7.2 Hardware
    • 7.2.1 Sensors (Radar, Lidar, Cameras)
    • 7.2.2 Navigation systems (GPS, Inertial Navigation)
    • 7.2.3 Propulsion systems
    • 7.2.4 Communication systems
  • 7.3 Software
    • 7.3.1 Fleet management software
    • 7.3.2 Data analysis software
    • 7.3.3 Others
  • 7.4 Service

Chapter 8 Market Estimates and Forecast, By End-User, 2021 - 2032 (USD Million)

  • 8.1 Key trends
  • 8.2 Line-fit and newbuild
  • 8.3 Retrofit

Chapter 9 Market Estimates and Forecast, By Propulsion, 2021 - 2032 (USD Million)

  • 9.1 Key trends
  • 9.2 Fully electric
  • 9.3 Hybrid
  • 9.4 Conventional

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 ABB Ltd.
  • 11.2 Aselsan A.S.
  • 11.3 Bae Systems
  • 11.4 Dnv GL
  • 11.5 Fugro
  • 11.6 General Electric
  • 11.7 Honeywell International Inc.
  • 11.8 Hyundai Heavy Industries
  • 11.9 Kongsberg Maritime
  • 11.10 L3Harris Technologies
  • 11.11 Mitsui E&S Shipbuilding Co., Ltd.
  • 11.12 Northrop Grumman Corporation
  • 11.13 Praxis Automation Technology B.V.
  • 11.14 RH Marine
  • 11.15 Rolls-Royce Plc
  • 11.16 Samsung Heavy Industries Co., Ltd.
  • 11.17 Sea Machines Robotics, Inc.
  • 11.18 Siemens AG
  • 11.19 Ulstein
  • 11.20 Valmet
  • 11.21 Vigor Industrial LLC
  • 11.22 Wartsila