市场调查报告书
商品编码
1438025
到 2030 年自主导航系统市场预测:按平台、系统、应用程式和地区进行的全球分析Autonomous Navigation System Market Forecasts to 2030 - Global Analysis By Platform (Marine, Airborne, Space, Weapons, Land and Other Platforms), System, Application, and By Geography |
根据 Stratistics MRC 的数据,2023 年全球自主导航系统市场规模将达到 33 亿美元,预计到 2030 年将达到 85.1 亿美元,预测期内复合年增长率为 14.5%。
自主导航系统是指允许车辆和设备在其环境中导航和移动而无需人工干预的先进技术。这些通常用于自动驾驶汽车、无人机和机器人等自动驾驶车辆。自主导航系统利用摄影机、光达、雷达和 GPS 等感测器即时收集周围环境的资料。收集的资料透过先进的演算法进行处理,以全面了解环境,从而将导航任务的自动化和效率提高到新的水平。
自动化需求不断成长
世界各地的产业都在利用自动化来优化业务流程、降低成本并提高效率。这些系统在物流、製造和医疗保健等多个领域的自动化工作中发挥关键作用。此外,在物流,对高效、准确的配送服务的需求正在导致自动导航系统整合到仓库和运输车辆中,从而推动了该市场的成长。
高成本
先进技术的研究、开发和製造需要大量的研发成本和昂贵的製造流程。实施安全措施和遵守监管标准会增加财务负担。这些程序需要在测试设备和专业知识方面进行大量投资。此外,缺乏规模经济和需求的高波动性也导致高成本,从而阻碍市场成长。
技术进步
运算能力的进步,特别是边缘运算和机载处理单元的进步,支援自主导航所必需的即时资料分析和复杂运算。光达和雷达等技术将使车辆和机器人能够以前所未有的精度感知和导航周围环境。此外,随着这些技术的成熟,它们将有助于将自主导航系统无缝整合到日常业务中,促进创新并促进社会对自主技术的接受。
缺乏标准化
ANS 技术缺乏标准化的安全法规和指南是一个主要障碍,缺乏统一的标准使得评估和确保 ANS 系统的可靠性和性能变得困难。此外,标准化的缺乏阻碍了产业相关人员之间的协作和资讯共用。缺乏协作会减缓创新并阻碍 ANS 技术的整体进步。
COVID-19 的影响
COVID-19 的爆发对市场产生了负面影响,并影响了开发、部署和采用的各个方面。疫情造成的经济不确定性导致一些公司重新评估预算,并将必要支出优先于自主导航投资。此外,这些中断还增加了成本,延迟了自动驾驶技术的及时跨行业集成,并阻碍了自动驾驶车辆和系统的现场测试和检验过程。
预计海洋部分在预测期内将是最大的
由于海事运营的变革,利用先进技术实现无人船舶并提高航行效率,海事业务预计将占据最大份额。这些系统支援各种海事应用,包括自主船舶、无人水下航行器 (UUV) 和远端操作船舶。此外,这些系统还透过改善防撞、路线规划和动态环境条件适应来增强海上安全并促进该领域的扩展。
软体系统产业预计在预测期内复合年增长率最高
由于支援各领域自主导航的先进演算法和软体解决方案的开发和实施,软体系统产业预计在预测期内将出现最高的复合年增长率。这些软体系统利用摄影机、光达、雷达和 GPS 等各种感测器来收集有关环境的即时资料。此外,该软体允许自动驾驶车辆导航复杂的场景、识别障碍物、规划最佳路线并做出即时决策,以确保平稳安全的旅程,这正在推动该细分市场的成长。
由于各行业对自动化需求不断增长所推动的快速扩张和技术发展,亚太地区在预测期内占据了最大的市场占有率。中国、日本和韩国等国家处于采用和开发自主导航技术的前沿。此外,该地区广阔的海岸线和对海上贸易的依赖,促使人们对航运和近海活动的自主导航解决方案越来越感兴趣,从而扩大了该地区的市场规模。
由于采用自主技术,预计欧洲在预测期内将呈现最高的复合年增长率。霍尼韦尔国际公司、通用动力公司、L3Harris Technologies Inc 和罗克韦尔柯林斯公司等主要企业正在投资自主船舶,以提高航行安全、优化物流并减少对环境的影响。此外,监管机构和行业相关人员正在合作制定标准和指南,为该地区自主导航系统市场的发展创造有利的环境。
According to Stratistics MRC, the Global Autonomous Navigation System Market is accounted for $3.30 billion in 2023 and is expected to reach $8.51 billion by 2030 growing at a CAGR of 14.5% during the forecast period. An autonomous navigation system refers to a sophisticated technology that enables vehicles or devices to navigate and move through their environment without human intervention. These are commonly employed in autonomous vehicles such as self-driving cars, drones, and robots. The autonomous navigation system utilizes sensors like cameras, lidar, radar, and GPS to gather real-time data about the surroundings. The collected data is processed by advanced algorithms that generate a comprehensive understanding of the environment by offering a new level of automation and efficiency in navigation tasks.
Increased demand for automation
Industries worldwide seek to optimize operational processes, reduce costs, and enhance efficiency through automation. These systems play a crucial role in automating tasks across diverse sectors, including logistics, manufacturing, and healthcare. Furthermore, in logistics, the demand for efficient and precise delivery services has led to the integration of autonomous navigation systems in warehouses and transportation vehicles, which is boosting this market growth.
High cost
Developing and manufacturing advanced technologies involves substantial research and development costs as well as expensive production processes, as these components need to be of high quality. The implementation of safety measures and compliance with regulatory standards add to the financial burden; these procedures necessitate substantial investments in testing facilities and expertise. In addition, the lack of economies of scale and high demand volatility also contribute to the high cost, which is hampering market growth.
Technological advancements
The evolution of computing power, particularly in edge computing and onboard processing units, supports real-time data analysis and complex computations essential for autonomous navigation. Technologies such as LiDAR and radar enable vehicles and robots to perceive and navigate their surroundings with unprecedented accuracy. Moreover, as these technologies mature, they contribute to the seamless integration of autonomous navigation systems into everyday operations, driving innovation and fostering broader societal acceptance of autonomous technologies.
Lack of standardization
The absence of standardized safety regulations and guidelines for ANS technologies poses a significant barrier, and the lack of uniform standards makes it difficult to assess and ensure the reliability and performance of ANS systems. Additionally, the absence of standardization inhibits collaboration and information sharing among industry stakeholders. This lack of collaboration slows down innovation and hinders the overall progress of ANS technology.
Covid-19 Impact
The COVID-19 pandemic has had a negative impact on the market, influencing various aspects of development, deployment, and adoption. The pandemic-induced economic uncertainties have prompted some companies to re-evaluate their budgets and prioritize essential expenditures over investments in autonomous navigation. In addition, these disruptions increased costs and also delayed the timely integration of autonomous technologies across industries, which has hampered field testing and validation processes for autonomous vehicles and systems.
The marine segment is expected to be the largest during the forecast period
The marine segment is estimated to hold the largest share due to a transformative shift in maritime operations, leveraging advanced technologies to enable unmanned vessels and enhance navigation efficiency. These systems cater to a variety of maritime applications, including autonomous ships, unmanned underwater vehicles (UUVs), and remotely operated vessels. Moreover, these systems enhance maritime safety by improving collision avoidance, route planning, and adapting to dynamic environmental conditions, which thereby drive this segment's expansion.
The software system segment is expected to have the highest CAGR during the forecast period
The software system segment is anticipated to have highest CAGR during the forecast period due to the development and implementation of sophisticated algorithms and software solutions that power autonomous navigation across various domains. These software systems leverage a diverse array of sensors, such as cameras, lidar, radar, and GPS, to collect real-time data about the environment. Furthermore, the software enables autonomous vehicles to navigate through complex scenarios, identify obstacles, plan optimal routes, and make real-time decisions to ensure a smooth and secure journey, which is driving segment growth.
Asia Pacific commanded the largest market share during the extrapolated period owing to rapid expansion and technological evolution, driven by the growing demand for automation across diverse industries. Countries like China, Japan, and South Korea are at the forefront of adopting and developing autonomous navigation technologies. Additionally, the region's extensive coastlines and reliance on maritime trade contribute to the increased interest in autonomous navigation solutions for shipping and offshore activities, which are propelling this region's size.
Europe is expected to witness highest CAGR over the projection period, owing to the adoption of autonomous technologies. Key players such as Honeywell International, General Dynamics Corporation, L3Harris Technologies Inc., and Rockwell Collins are investing in autonomous vessels to enhance navigation safety, optimize logistics, and reduce environmental impact. In addition, regulatory bodies and industry stakeholders collaborate to establish standards and guidelines, fostering a conducive environment for the growth of the autonomous navigation system market in this region.
Key players in the market
Some of the key players in the Autonomous Navigation System Market include ABB, Safran, Moog Inc., L3Harris Technologies Inc., Northrop Grumman Corporation, BAE systems Plc, Elbit Systems Ltd, Lockheed Martin Corporation, General Dynamics Corporation, Raytheon Technologies Corporation, Honeywell International, Trimble, Thales, Rolls-Royce, and Rockwell Collins.
In September 2023, ABB Motion and WindESCo, have signed a strategic partnership, where ABB has acquired a minority stake in the company through its venture capital unit, ABB Technology Ventures (ATV). US-based WindESCo is the leading analytics software provider for improving the performance and reliability of wind turbines.
In April 2023, Honeywell announced it has agreed to acquire Compressor Controls Corporation (CCC) from Indicor, LLC, which is owned by funds affiliated with private equity firm Clayton, Dubilier & Rice, LLC and Roper Technologies, Inc.