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市场调查报告书
商品编码
1622054
自动驾驶仪系统的全球市场规模:各自动化等级,各用途,各技术,各地区,范围及预测Global Autopilot System Market Size By Automation Level (SAE Levels), By Application, By Technology, By Geographic Scope And Forecast |
2023 年自动驾驶系统市场规模为 40.9 亿美元,预计在 2024-2030 年预测期间复合年增长率为 7.5%,到 2030 年达到 106 亿美元。
自动驾驶系统的全球市场推动因素
自动驾驶系统市场可能受到多种因素的影响。
提高安全性和效率:自动驾驶技术透过提供控制帮助,使驾驶员和飞行员能够更安全、更有效率地操作车辆。这些技术可以透过最大限度地减少人为错误的可能性、避免事故和优化燃油消耗来提高整体性能。
技术进步:
透过不断的技术发展,包括人工智慧 (AI)、机器学习 (ML) 和复杂感测器的加入,自动驾驶系统的功能和可靠性正在不断提高。其结果是增加了自主权、改进了决策以及更精确的导航。
自动驾驶汽车的需求不断增加:
汽车和航空领域对自动驾驶车辆(例如无人机)日益增长的需求推动了自动驾驶系统的使用。为了让自动驾驶车辆在没有人工协助的情况下安全导航和运行,需要先进的自动驾驶系统。
低油耗、低排放:
透过优化航线规划、速度控制和引擎管理等飞行和驾驶要素,自动驾驶系统有助于减少排放和燃油消耗。这符合永续发展目标和环境立法。
改善您的旅行体验:
在航空领域,自动驾驶系统可确保稳定的飞行条件并减少湍流,从而带来更舒适、无缝的旅行体验。汽车产业的 ADAS(高级驾驶辅助系统)可提高驾驶者的舒适度和便利性。
航空旅行增加与道路拥挤:
由于航空旅行和交通拥堵的增加,越来越需要自动驾驶系统来处理困难的导航任务并最大限度地提高交通流量。自动驾驶系统有潜力减少交通量、改善交通控制并提高整体运输效率。
航空旅行和民航的增加:
由于城市化、全球化和可支配收入增加等因素,航空旅行和商业航空的增加推动了商用飞机对自动驾驶系统的需求。自动驾驶系统使人员和货物的安全可靠的航空运输成为可能。
强制性标准与法规:
自动驾驶系统的采用是由机动车辆安全机构和航空当局为满足认证标准和安全法律而施加的监管义务和标准所推动的。鼓励製造商遵守要求,将自动驾驶系统整合到其车辆中。
限制全球自动驾驶系统市场的因素
有几个因素可能会成为自动驾驶系统市场的限制和挑战。
监理障碍:
特别是在航空业,由于有关自动驾驶系统的严格法规和认证程序,製造商可能面临挑战。市场准入和产品开发可能会因遵守安全法规和批准而延迟。
安全性问题:
儘管技术不断进步,自动驾驶系统的安全性和可靠性仍然令人担忧。涉及自动驾驶汽车和无人机 (UAV) 的引人注目的事件和事故可能会促使公众的怀疑和监管审查的增加。
基础设施有限:
为了实现精确的导航和控制,自动驾驶系统依赖先进的基础设施,例如 GPS 网路和通讯系统。在基础设施较差或网路不稳定的地区,自动驾驶系统可能无法正常运作。
成本与复杂性:
构成自动驾驶系统的复杂软体、感测器和演算法可能会促使庞大的开发和实施成本。因此,采用可能会被推迟,特别是管理资源有限的製造商和小型企业。
整合困难:
将自动驾驶系统与目前的飞机和车辆系统整合可能很困难,特别是在改装旧型号时。相容性问题以及彻底测试和验证的需要可能会延迟部署计划并增加成本。
网路安全风险:
自动驾驶系统容易受到病毒、骇客攻击和未经授权的存取等网路安全风险的影响。保持信任和可靠性需要针对入侵和资料外洩的强大网路安全防御。
道德/法律问题:
配备自动驾驶系统的自动驾驶汽车充满了道德和法律问题,例如谁对事故负责以及在紧急情况下做出什么决定。为了确保广泛采用,管理自动驾驶技术的监管框架需要明确并解决道德问题。
公众意识与采用:
由于担心失业、失控和隐私问题,大众对自动驾驶技术(尤其是自动驾驶系统)的看法和采用可能会有所不同。建立信任并让大众了解自动驾驶系统的优点和限制至关重要。
Autopilot System Market size was valued at USD 4.09 Billion in 2023 and is projected to reach USD 10.6 Billion by 2030, growing at a CAGR of 7.5% during the forecast period 2024-2030.
Global Autopilot System Market Drivers
The market drivers for the Autopilot System Market can be influenced by various factors. These may include: Enhancements in Safety and Efficiency: Autopilot technologies let drivers and pilots operate cars more safely and efficiently by aiding with the controls. These technologies can increase overall performance by minimizing the possibility of human mistake, averting accidents, and optimizing fuel use.
Technological Progress:
The capabilities and dependability of autopilot systems are improved by ongoing technical developments, such as the incorporation of artificial intelligence (AI), machine learning (ML), and sophisticated sensors. This results in enhanced autonomy, improved decision-making, and more accurate navigation.
Increasing Need for Self-Driving Cars:
The use of autopilot systems is fueled by the growing need for autonomous vehicles in the automotive and aviation sectors (such as unmanned aerial vehicles, or drones). Sophisticated autopilot systems are necessary for autonomous cars to navigate and function safely without human assistance.
Fuel Economy and Lower Emissions:
Through the optimization of flying or driving factors, such as route planning, speed control, and engine management, autopilot systems help reduce emissions and fuel consumption. This is in line with sustainability objectives and environmental legislation.
Improved Traveler Experience:
In the aviation sector, autopilot systems ensure steady flight conditions and less turbulence, which makes for a more comfortable and seamless traveler experience. Advanced driver assistance systems (ADAS) in the automotive industry increase driver comfort and convenience.
Increasing Air Travel and Congestion on the Roads:
Autopilot systems are becoming more and more necessary to handle difficult navigational duties and maximize traffic flow due to the increase in air travel and traffic jams. Autopilot systems have the potential to reduce traffic, improve traffic control, and increase the effectiveness of transportation as a whole.
Increase in Air Travel and Commercial Aviation:
The need for autopilot systems in commercial aircraft is fueled by the growth of air travel and commercial aviation, which is fueled by causes including urbanization, globalization, and increased disposable incomes. Safe and dependable air transportation for both people and freight is made possible by autopilot systems.
Standards and Mandates for Regulations:
The adoption of autopilot systems is driven by regulatory mandates and standards imposed by automobile safety agencies and aviation authorities in order to meet with certification criteria and safety laws. Manufacturers are encouraged to incorporate autopilot systems into their automobiles by adhering to requirements.
Global Autopilot System Market Restraints
Several factors can act as restraints or challenges for the Autopilot System Market. These may include:
Regulatory Obstacles:
Manufacturers may face difficulties due to stringent regulatory regulations and certification procedures for autopilot systems, particularly in the aviation industry. Entry into the market and product development may be delayed by adherence to safety regulations and approvals.
Safety Concerns:
Autopilot system safety and dependability continue to be concerns despite technological progress. Public skepticism and regulatory scrutiny may result from high-profile events or mishaps with autonomous cars or unmanned aerial vehicles (UAVs).
Limited Infrastructure:
For precise navigation and control, autopilot systems depend on sophisticated infrastructure, such as GPS networks and communication systems. Autopilot systems may not function as well in areas with inadequate infrastructure or unstable internet.
Cost and Complexity:
The intricate software, sensors, and algorithms that make up autopilot systems can lead to significant development and implementation expenses. Adoption may be discouraged by this, especially from manufacturers or smaller operations who have fewer resources.
Integration Difficulties:
It can be difficult to integrate autopilot systems with current aircraft or car systems, particularly when retrofitting older models. Compatibility problems and the requirement for thorough testing and validation could cause implementation schedules to be delayed and expenses to rise.
Cybersecurity Risks:
Autopilot systems are susceptible to virus, hacking, and illegal access, among other cybersecurity risks. Sustaining trust and dependability requires strong cybersecurity defenses against intrusions and data breaches.
Ethical and Legal Issues:
Autonomous cars with autopilot systems bring up moral and legal issues, like who is responsible for accidents and how to make decisions in an emergency. To ensure widespread use, regulatory frameworks governing autonomous technology must be clarified and ethical concerns must be addressed.
Public Perception and adoption:
Due to worries about employment displacement, loss of control, and privacy issues, the public's perception and adoption of autonomous technology, especially autopilot systems, may differ. It is crucial to establish confidence and inform the public about the advantages and restrictions of autopilot systems.
The Global Autopilot System Market is Segmented on the basis of Automation Level (SAE Levels), Application, Technology, and Geography.
By Automation Level (SAE Levels)
Level 2 Partial Automation:
This category includes lane centering aid and adaptive cruise control, among other driver assistance technologies. The driver is still in charge of keeping an eye on the surroundings and taking over when needed.
Level 3 Conditional Automation:
In certain scenarios, such as while driving on a highway, the system can manage particular driving tasks. But when asked, the driver needs to be ready to regain control.
Level 4 High Automation:
Within a predetermined zone, the system can generally operate the vehicle without the driver's assistance. However, driver takeover may be necessary due to geographical restrictions or particular circumstances.
Level 5 Full Automation:
This is the pinnacle of automation, where a car can operate like a pro in any situation and doesn't require any input from a human. This level is still being worked on.
By Application
Passenger Cars:
Passenger cars are a sizable market sector where demand for safety and convenience features is rising.
Commercial Vehicles:
Autopilot systems can increase efficiency and lessen driver fatigue on lengthy trips for trucks, buses, and other commercial vehicles.
Off-Highway Vehicles:
In controlled settings, autopilot can increase productivity and safety in vehicles such as construction machinery, mining trucks, and agricultural equipment.
Unmanned Aerial Vehicles (UAVs):
Autopilot systems play a major role in the autonomous flight and navigation of drones and other aerial vehicles.
By Technology
LiDAR (Light Detection and Ranging):
Using laser pulses, LiDAR (Light identification and Ranging) generates a three-dimensional map of the surroundings, which is essential for accurate positioning and obstacle identification.
Radar (Radio Detection and Ranging):
Radar, or radio detection and ranging, measures the speed and distance of objects in the immediate area.
Cameras:
Gather visual data to identify objects, recognize traffic signs, and detect lanes.
Global Navigation Satellite System (GNSS):
The autopilot system receives its location and positioning information from the Global Navigation Satellite System (GNSS).
Artificial Intelligence (AI):
To operate the car and make driving judgments, machine learning algorithms evaluate sensor data.
By Geography
North America:
A prominent market that makes significant R&D investments and adopts new technologies quickly.
Europe:
Tight laws and a safety-first mentality are what propel the development of autopilot systems here.
Asia Pacific:
A quickly expanding market where urbanization and traffic congestion are driving up demand for autonomous vehicles.
The Rest of the world:
This category includes developing nations with room to grow in the future, although infrastructure and legal frameworks may still need to be improved.
The major players in the Autopilot System Market are:
BAE Systems PLC (U.K.)
Lockheed Martin Corporation (US)
Collins Aerospace (US) (formerly Rockwell Collins)
Honeywell International Inc. (US)
Garmin Ltd. (US)
L3Harris Technologies Inc. (US)
Thales Group (France)
Genesys Aerosystems (US)
Airware (US)
Cloud Cap Technology (US)
MicroPilot (US)