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市場調查報告書

商品編碼

1684705

船舶自動駕駛系統市場機會、成長動力、產業趨勢分析與 2025 - 2034 年預測

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個工作天內

價格

簡介目錄

全球船舶自動駕駛系統市場正在快速擴張，2024 年估值為 23 億美元，預計 2025 年至 2034 年期間的複合年成長率為 7.4%。自動化正在改變海運業，透過先進的自動駕駛系統徹底改變導航，從而提高效率、安全性和永續性。這些系統由人工智慧（AI）和機器學習提供支持，可以最佳化路線、減少人為錯誤並提高操作準確性。隨著技術進步持續影響產業，受成本降低和法規遵循增強的推動，對自主和半自主船舶營運的需求正在上升。

越來越多的海運公司採用自動駕駛系統來簡化營運、減少燃料消耗和降低排放。隨著國際法規越來越嚴格地強調環保航運，自動化已成為實現永續發展目標的關鍵要素。人工智慧自動駕駛系統與即時資料分析相結合，使船舶能夠精確導航，確保最佳速度和燃油效率。這些進步使海上運輸更加安全、可靠，同時減輕了船員的負擔，有助於商業、國防和休閒船隊的廣泛採用。

市場範圍
起始年份	2024
預測年份	2025-2034
起始值	23億美元
預測值	46億美元
複合年成長率	7.4%

市場分為硬體和軟體組件，其中硬體在 2024 年佔總市場佔有率的 67%。到 2034 年，該部分預計將創造 30 億美元的收入。節能設計和組件小型化的進步正在推動自動駕駛儀硬體的發展，從而促進高性能感測器和控制單元的發展。這些組件提高了系統準確性和船舶機動性，同時降低了功耗。現代硬體解決方案現在整合了多種功能，將陀螺儀、GPS 接收器和先進的感測器組合成一個緊湊的單元。這一趨勢提高了自動駕駛系統的效率和適應性，使其成為尋求最大限度提高船隊性能的航營運運商的重要投資。隨著對即時數據驅動導航的需求不斷成長，製造商不斷創新，創造出可與其他車載自動化系統無縫整合的自動駕駛儀硬體。

按船舶類型分類，商用船舶在 2024 年佔據市場主導地位，佔有 42% 的佔有率。商業領域正在迅速整合與 GPS、雷達和防撞系統相連的尖端自動駕駛解決方案，以確保精確導航。這些智慧系統透過減少人為錯誤來提高燃油效率、降低營運成本並提高安全性。隨著全球航運公司優先考慮自動化以提高獲利能力並滿足更嚴格的環境法規，先進的自動駕駛系統正在成為商業船隊的標準功能。自主和無人駕駛船舶的興起進一步影響著這個行業，航運公司正在探索下一代技術，以最佳化貨物運輸並最大限度地減少對人類操作員的依賴。

2024 年，北美佔據了船舶自動駕駛系統市場的 33%，預計到 2034 年將達到 14 億美元。該地區對海事自動化的強勁投資涵蓋商業、休閒和國防應用。政府措施和私營部門投資正在加速自動化技術融入現代車隊。對永續和成本效益航運的追求推動了智慧自動駕駛解決方案的採用，確保遵守不斷發展的行業法規。隨著國防部門對自主船舶表現出濃厚興趣，研發工作持續推動人工智慧導航和控制系統的創新。

產業生態系統分析
供應商概況
- 原物料供應商
- 零件製造商
- 軟體開發者
- 系統整合商
- 分銷商和零售商
- 原始設備製造商
- 最終用戶
利潤率分析
技術與創新格局
專利分析
重要新聞及舉措
監管格局
技術差異化
- 人工智慧與機器學習的融合
- 先進的感測器和 GPS 技術
- 與物聯網和雲端平台的連接
衝擊力
- 成長動力
  - 自主和無人駕駛船舶的採用日益增多
  - 人工智慧與物聯網技術的融合
  - 全球海上貿易和物流需求不斷成長
  - 注重燃油效率和成本最佳化
- 產業陷阱與挑戰
  - 先進自動駕駛系統的初始成本高昂
  - 自主導航技術的網路安全風險
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：按組件，2021 - 2034 年

主要趨勢
硬體
- 控制單元
- 執行器
- 感應器
- 舵控制器
- 其他
軟體
- 導航
- 路徑規劃
- 避免碰撞
- 遠端監控

第6章：市場估計與預測：按系統，2021 - 2034 年

主要趨勢
油壓
電的
機械的

第 7 章：市場估計與預測：按技術，2021 - 2034 年

主要趨勢
整合自動駕駛儀
獨立自動駕駛儀

第 8 章：市場估計與預測：按應用，2021 - 2034 年

主要趨勢
導航援助
課程維護
避免碰撞
自主營運
其他

第 9 章：市場估計與預測：按船舶，2021 - 2034 年

主要趨勢
商業的
防禦
休閒娛樂
自主無人駕駛

第 10 章：市場估計與預測：按地區，2021 - 2034 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中東及非洲
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 11 章：公司簡介

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

簡介目錄

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