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航空和航太

市场调查报告书

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1684705

船舶自动驾驶系统市场机会、成长动力、产业趋势分析与 2025 - 2034 年预测

Marine Autopilot System Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2025年01月16日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格

简介目录

全球船舶自动驾驶系统市场正在快速扩张，2024 年估值为 23 亿美元，预计 2025 年至 2034 年期间的复合年增长率为 7.4%。自动化正在改变海运业，透过先进的自动驾驶系统彻底改变导航，从而提高效率、安全性和永续性。这些系统由人工智慧（AI）和机器学习提供支持，可以优化路线、减少人为错误并提高操作准确性。随着技术进步持续影响产业，受成本降低和法规遵循增强的推动，对自主和半自主船舶营运的需求正在上升。

越来越多的海运公司采用自动驾驶系统来简化营运、减少燃料消耗和降低排放。随着国际法规越来越严格地强调环保航运，自动化已成为实现永续发展目标的关键要素。人工智慧自动驾驶系统与即时资料分析相结合，使船舶能够精确导航，确保最佳速度和燃油效率。这些进步使海上运输更加安全、可靠，同时减轻了船员的负担，有助于商业、国防和休閒船队的广泛采用。

市场范围
起始年份	2024
预测年份	2025-2034
起始值	23亿美元
预测值	46亿美元
复合年增长率	7.4%

市场分为硬体和软体组件，其中硬体在 2024 年占总市场份额的 67%。到 2034 年，该部分预计将创造 30 亿美元的收入。节能设计和组件小型化的进步正在推动自动驾驶仪硬体的发展，从而促进高性能感测器和控制单元的发展。这些组件提高了系统准确性和船舶机动性，同时降低了功耗。现代硬体解决方案现在整合了多种功能，将陀螺仪、GPS 接收器和先进的感测器组合成一个紧凑的单元。这一趋势提高了自动驾驶系统的效率和适应性，使其成为寻求最大限度提高船队性能的航运营运商的重要投资。随着对即时数据驱动导航的需求不断增长，製造商不断创新，创造出可与其他车载自动化系统无缝整合的自动驾驶仪硬体。

按船舶类型划分，商用船舶在 2024 年占据市场主导地位，占有 42% 的份额。商业领域正在迅速整合与 GPS、雷达和防撞系统相连的尖端自动驾驶解决方案，以确保精确导航。这些智慧系统透过减少人为错误来提高燃油效率、降低营运成本并提高安全性。随着全球航运公司优先考虑自动化以提高获利能力并满足更严格的环境法规，先进的自动驾驶系统正在成为商业船队的标准功能。自主和无人驾驶船舶的兴起进一步影响着这个行业，航运公司正在探索下一代技术，以优化货物运输并最大限度地减少对人类操作员的依赖。

2024 年，北美占据了船舶自动驾驶系统市场的 33%，预计到 2034 年将达到 14 亿美元。该地区对海事自动化的强劲投资涵盖商业、休閒和国防应用。政府措施和私营部门投资正在加速自动化技术融入现代车队。对永续和成本效益航运的追求推动了智慧自动驾驶解决方案的采用，确保遵守不断发展的行业法规。随着国防部门对自主船舶表现出浓厚兴趣，研发工作持续推动人工智慧导航和控制系统的创新。

产业生态系统分析
供应商概况
- 原物料供应商
- 零件製造商
- 软体开发者
- 系统整合商
- 分销商和零售商
- 原始设备製造商
- 最终用户
利润率分析
技术与创新格局
专利分析
重要新闻及倡议
监管格局
技术差异化
- 人工智慧与机器学习的融合
- 先进的传感器和 GPS 技术
- 与物联网和云端平台的连接
衝击力
- 成长动力
  - 自主和无人驾驶船舶的采用日益增多
  - 人工智慧与物联网技术的融合
  - 全球海上贸易和物流需求不断成长
  - 注重燃油效率和成本优化
- 产业陷阱与挑战
  - 先进自动驾驶系统的初始成本高昂
  - 自主导航技术的网路安全风险
成长潜力分析
波特的分析
PESTEL 分析

第四章：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

第五章：市场估计与预测：按组件，2021 - 2034 年

主要趋势
硬体
- 控制单元
- 执行器
- 感应器
- 舵控制器
- 其他的
软体
- 导航
- 路径规划
- 避免碰撞
- 远端监控

第六章：市场估计与预测：按系统，2021 - 2034 年

主要趋势
油压
电的
机械的

第 7 章：市场估计与预测：按技术，2021 - 2034 年

主要趋势
整合自动驾驶仪
独立自动驾驶仪

第 8 章：市场估计与预测：按应用，2021 - 2034 年

主要趋势
导航援助
课程维护
避免碰撞
自主营运
其他的

第 9 章：市场估计与预测：按船舶，2021 - 2034 年

主要趋势
商业的
防御
休閒娱乐
自主无人驾驶

第 10 章：市场估计与预测：按地区，2021 - 2034 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中东及非洲
- 阿联酋
- 南非
- 沙乌地阿拉伯

第 11 章：公司简介

ABB
B&G
ComNav Marine
Furuno Electric
Garmin
Honeywell International
JRC/Alphatron Marine
Kongsberg Maritime
Marine Technologies
Navico
Navis Engineering
NKE Marine Electronics
Noris Group
Praxis Automation Technology
Raymarine
Raytheon Anschutz
Seacraft
Sperry Marine
Tokyo Keiki
Wartsila

简介目录

Product Code: 13121

The Global Marine Autopilot System Market is experiencing rapid expansion, with a valuation of USD 2.3 billion in 2024 and a projected CAGR of 7.4% between 2025 and 2034. Automation is transforming the maritime sector, revolutionizing navigation with advanced autopilot systems that enhance efficiency, safety, and sustainability. These systems, powered by artificial intelligence (AI) and machine learning, optimize routes, reduce human error, and improve operational accuracy. As technological advancements continue to shape the industry, the demand for autonomous and semi-autonomous vessel operations is rising, fueled by cost reductions and enhanced regulatory compliance.

Maritime companies are increasingly adopting autopilot systems to streamline operations, minimize fuel consumption, and lower emissions. With stringent international regulations emphasizing eco-friendly shipping, automation has become a crucial element for achieving sustainability goals. AI-driven autopilot systems, integrated with real-time data analytics, enable vessels to navigate with precision, ensuring optimal speed and fuel efficiency. These advancements make marine transportation safer and more reliable while reducing the burden on crew members, contributing to increased adoption across commercial, defense, and recreational fleets.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$2.3 Billion
Forecast Value	$4.6 Billion
CAGR	7.4%

The market is segmented into hardware and software components, with hardware accounting for 67% of the total market share in 2024. By 2034, this segment is expected to generate USD 3 billion in revenue. Advances in energy-efficient designs and component miniaturization are driving the evolution of autopilot hardware, leading to the development of high-performance sensors and control units. These components enhance system accuracy and vessel maneuverability while reducing power consumption. Modern hardware solutions now integrate multiple functionalities, combining gyroscopes, GPS receivers, and advanced sensors into a single, compact unit. This trend improves the efficiency and adaptability of autopilot systems, making them an essential investment for shipping operators looking to maximize fleet performance. As demand for real-time data-driven navigation grows, manufacturers continue to innovate, creating autopilot hardware that seamlessly integrates with other onboard automation systems.

By vessel type, commercial ships dominated the market in 2024, holding a 42% share. The commercial sector is rapidly integrating cutting-edge autopilot solutions that link with GPS, radar, and collision-avoidance systems to ensure precise navigation. These intelligent systems enhance fuel efficiency, reduce operational costs, and improve safety by mitigating human error. With global shipping companies prioritizing automation to boost profitability and meet stricter environmental regulations, advanced autopilot systems are becoming a standard feature in commercial fleets. The rise of autonomous and unmanned vessels is further shaping the industry, with shipping companies exploring next-generation technologies to optimize cargo transport and minimize reliance on human operators.

North America accounted for 33% of the marine autopilot system market in 2024, with projections reaching USD 1.4 billion by 2034. The region's strong investment in maritime automation spans across commercial, recreational, and defense applications. Government initiatives and private-sector investments are accelerating the integration of autonomous technologies into modern fleets. The push for sustainable and cost-efficient shipping fuels the adoption of intelligent autopilot solutions, ensuring compliance with evolving industry regulations. With the defense sector showing significant interest in autonomous vessels, research and development efforts continue to drive innovation in AI-powered navigation and control systems.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360⁰ synopsis, 2021 - 2034

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Raw material suppliers
- 3.2.2 Component manufacturers
- 3.2.3 Software developers
- 3.2.4 System integrators
- 3.2.5 Distributers and retailers
- 3.2.6 OEMs
- 3.2.7 End users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Technology differentiators
- 3.8.1 Integration of AI and machine learning
- 3.8.2 Advanced sensors and GPS technology
- 3.8.3 Connectivity with IoT and cloud platforms
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increasing adoption of autonomous and unmanned vessels
  - 3.9.1.2 Integration of AI and IoT technologies
  - 3.9.1.3 Rising global maritime trade and logistics demand
  - 3.9.1.4 Focus on fuel efficiency and cost optimization
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 High initial costs for advanced autopilot systems
  - 3.9.2.2 Cybersecurity risks in autonomous navigation technologies
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

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

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn, Units)

5.1 Key trends
5.2 Hardware
- 5.2.1 Control units
- 5.2.2 Actuators
- 5.2.3 Sensor
- 5.2.4 Rudder controllers
- 5.2.5 Others
5.3 Software
- 5.3.1 Navigation
- 5.3.2 Path planning
- 5.3.3 Collision avoidance
- 5.3.4 Remote monitoring and control

Chapter 6 Market Estimates & Forecast, By System, 2021 - 2034 ($Bn, Units)

6.1 Key trends
6.2 Hydraulic
6.3 Electric
6.4 Mechanical

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn, Units)

7.1 Key trends
7.2 Integrated autopilot
7.3 Standalone autopilot

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn, Units)

8.1 Key trends
8.2 Navigation assistance
8.3 Course maintenance
8.4 Collision avoidance
8.5 Autonomous operations
8.6 Others

Chapter 9 Market Estimates & Forecast, By Vessel, 2021 - 2034 ($Bn, Units)

9.1 Key trends
9.2 Commercial
9.3 Defense
9.4 Recreational
9.5 Autonomous and unmanned

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

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 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
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 Southeast Asia
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia