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市場調查報告書
商品編碼
1622054
自動駕駛儀系統的全球市場規模:各自動化等級,各用途,各技術,各地區,範圍及預測Global Autopilot System Market Size By Automation Level (SAE Levels), By Application, By Technology, By Geographic Scope And Forecast |
2023 年自動駕駛系統市場規模為 40.9 億美元,預計在 2024-2030 年預測期間複合年增長率為 7.5%,到 2030 年達到 106 億美元。
自動駕駛系統的全球市場推動因素
自動駕駛系統市場可能受到多種因素的影響。
提高安全性和效率:自動駕駛技術透過提供控制幫助,使駕駛員和飛行員能夠更安全、更有效率地操作車輛。這些技術可以透過最大限度地減少人為錯誤的可能性、避免事故和優化燃油消耗來提高整體性能。
技術進步:
透過不斷的技術發展,包括人工智慧 (AI)、機器學習 (ML) 和複雜感測器的加入,自動駕駛系統的功能和可靠性正在不斷提高。其結果是增加了自主權、改進了決策以及更精確的導航。
自動駕駛汽車的需求不斷增加:
汽車和航空領域對自動駕駛車輛(例如無人機)日益增長的需求推動了自動駕駛系統的使用。為了讓自動駕駛車輛在沒有人工協助的情況下安全導航和運行,需要先進的自動駕駛系統。
低油耗、低排放:
透過優化航線規劃、速度控制和引擎管理等飛行和駕駛要素,自動駕駛系統有助於減少排放和燃油消耗。這符合永續發展目標和環境立法。
改善您的旅行體驗:
在航空領域,自動駕駛系統可確保穩定的飛行條件並減少湍流,從而帶來更舒適、無縫的旅行體驗。汽車產業的 ADAS(高級駕駛輔助系統)可提高駕駛者的舒適度和便利性。
航空旅行增加與道路擁擠:
由於航空旅行和交通擁堵的增加,越來越需要自動駕駛系統來處理困難的導航任務並最大限度地提高交通流量。自動駕駛系統有潛力減少交通量、改善交通控制並提高整體運輸效率。
航空旅行和民航的增加:
由於城市化、全球化和可支配收入增加等因素,航空旅行和商業航空的增加推動了商用飛機對自動駕駛系統的需求。自動駕駛系統使人員和貨物的安全可靠的航空運輸成為可能。
強制性標準與法規:
自動駕駛系統的採用是由機動車輛安全機構和航空當局為滿足認證標準和安全法律而施加的監管義務和標準所推動的。鼓勵製造商遵守要求,將自動駕駛系統整合到其車輛中。
限制全球自動駕駛系統市場的因素
有幾個因素可能會成為自動駕駛系統市場的限制和挑戰。
監理障礙:
特別是在航空業,由於有關自動駕駛系統的嚴格法規和認證程序,製造商可能面臨挑戰。市場准入和產品開發可能會因遵守安全法規和批准而延遲。
安全性問題:
儘管技術不斷進步,自動駕駛系統的安全性和可靠性仍然令人擔憂。涉及自動駕駛汽車和無人機 (UAV) 的引人注目的事件和事故可能會促使公眾的懷疑和監管審查的增加。
基礎設施有限:
為了實現精確的導航和控制,自動駕駛系統依賴先進的基礎設施,例如 GPS 網路和通訊系統。在基礎設施較差或網路不穩定的地區,自動駕駛系統可能無法正常運作。
成本與複雜性:
構成自動駕駛系統的複雜軟體、感測器和演算法可能會促使龐大的開發和實施成本。因此,採用可能會被推遲,特別是管理資源有限的製造商和小型企業。
整合困難:
將自動駕駛系統與目前的飛機和車輛系統整合可能很困難,特別是在改裝舊型號時。相容性問題以及徹底測試和驗證的需要可能會延遲部署計劃並增加成本。
網路安全風險:
自動駕駛系統容易受到病毒、駭客攻擊和未經授權的存取等網路安全風險的影響。保持信任和可靠性需要針對入侵和資料外洩的強大網路安全防禦。
道德/法律問題:
配備自動駕駛系統的自動駕駛汽車充滿了道德和法律問題,例如誰對事故負責以及在緊急情況下做出什麼決定。為了確保廣泛採用,管理自動駕駛技術的監管框架需要明確並解決道德問題。
公眾意識與採用:
由於擔心失業、失控和隱私問題,大眾對自動駕駛技術(尤其是自動駕駛系統)的看法和採用可能會有所不同。建立信任並讓大眾了解自動駕駛系統的優點和限制至關重要。
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)