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船舶

市场调查报告书

商品编码

1570553

自主船舶市场、机会、成长动力、产业趋势分析与预测，2024-2032

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

出版日期: 2024年08月01日 | 出版商:

Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2023 年，全球自主船舶市场资料达 61 亿美元，预计 2024 年至 2032 年复合年增长率将超过 10%。交换和资料传输成为可能。这种增强的连接性可以实现更好的协调、路线优化和及时维护，从而提高营运效率并节省成本。

物联网 (IoT) 设备和进阶分析的整合透过提供有价值的见解和预测性维护功能，进一步支援自主运输的发展。例如，2023 年 5 月，L3Harris Technologies 与 BigBear.ai 合作，将人工智慧和先进的自主水面车辆 (ASV) 用于当前和未来的海洋防御项目。

整个产业分为船舶类型、自主性、产品、最终用户、推进系统和区域。

根据船舶类型，市场分为商用和军用。预计 2024 年至 2032 年商业领域的复合年增长率将达到 10%。此细分市场涉及客船和货船，有助于市场成长。自主船舶市场的商业部分着重于将自主技术整合到各种商业航运应用中，包括货物运输、散装运输和货柜装卸。该部门也透过使用自主系统进行路线优化、货物装卸和船舶管理，提高海上营运的效率、安全性和成本效益。

根据自主性，自主船舶市场分为半自主、完全自主和远端操作。预计到 2032 年，完全自主部分的价值将超过 50 亿美元。这些船舶利用人工智慧、机器学习和感测器系统等先进技术来自主导航、决策和执行任务。

2023年，亚太地区将引领全球自主船舶市场，占超过30%。由于其在全球贸易和航运中的战略重要性，该地区正在经历市场的显着增长。日本、中国和韩国等国家在自主海事技术的研发方面投入了大量资金，处于领先地位。强大的造船业和先进的技术能力正在推动该地区自主船舶的开发和部署。

产业生态系统分析
供应商矩阵
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 增强的连接性和整合性
  - 海事利害关係人的支持
  - 军事和国防应用
  - 对高效运输的需求不断增长
  - 采用数位孪生
- 产业陷阱与挑战
  - 监管和法律挑战
  - 初始成本高
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按船舶类型，2021 - 2032 年

主要趋势
商业的
- 客船
- 货船
军队

第 6 章：市场估计与预测：按 Autonomy，2021 - 2032 年

主要趋势
半自主
完全自主
远端操作

第 7 章：市场估计与预测：按产品分类，2021 - 2032 年

主要趋势
硬体
- 感测器（雷达、光达、摄影机）
- 导航系统（GPS、惯性导航）
- 推进系统
- 通讯系统
软体
- 车队管理软体
- 数据分析软体
- 其他的
服务

第 8 章：市场估计与预测：按最终用户划分，2021 - 2032 年

主要趋势
生产线安装与新建
改造

第 9 章：市场估计与预测：按推进力，2021 - 2032 年

主要趋势
全电动
杂交种
传统的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

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

简介目录

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.

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