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市場調查報告書
商品編碼
1451922
2024-2032 年按車輛類型(乘用車、商用車)、最終用戶(混合 AVDP、基於影像的 AVDP、基於感測器融合的 AVDP)和區域分類的自動駕駛汽車 (AV) 開發平台市場報告Autonomous Vehicle (AV) Development Platform Market Report by Vehicle Type (Passenger Car, Commercial Vehicle), End User (Mixed AVDP, Image-Based AVDP, Sensor Fusion-based AVDP), and Region 2024-2032 |
2023年全球自動駕駛汽車(AV)開發平台市場規模達275億美元。展望未來, IMARC Group預計到2032年市場規模將達到2,262億美元,2024-2032年複合年成長率(CAGR)為25.6% 。眾多最終用途領域對自動駕駛汽車的需求不斷成長,乘車共享服務和移動即服務 (MaaS) 概念的日益普及,以及行動不便的個人對提高效率和移動性的廣泛需求,代表了推動市場的一些關鍵因素。
自動駕駛汽車(AV)開發平台是指一個全面的軟體和硬體框架,使開發人員能夠透過提供必要的資源和基礎設施來建置、模擬和部署自動駕駛解決方案。該平台利用電腦視覺、感測器融合、測繪和控制系統在模擬環境中執行控制命令,以在虛擬場景中測試演算法和車輛模型。透過分析感測器資料來感知環境並偵測物體、行人、路標和交通狀況,同時也有助於精確定位、地圖繪製和導航。此外,該平台設計為模組化和可擴展的,以支援跨各種車輛類型的自主系統的開發。除此之外,它還實現路徑規劃、軌跡生成和決策的演算法,並根據特定車輛的特定需求配置組件,從而實現安全自動駕駛。自動駕駛汽車 (AV) 開發平台提供的一些優點包括加快開發時間、增強靈活性和客製化,以及降低現實生活中潛在事故或故障的風險。
全球市場主要是由運輸和物流等眾多最終用途領域對自動駕駛汽車的需求不斷成長所推動的。這可以歸因於乘車共享服務的日益普及和移動即服務(MaaS)的概念。與此一致,人工智慧 (AI)、機器學習 (ML)、電腦視覺、感測器技術和連接性的不斷進步正在為市場提供動力。此外,行動不便的個人對提高效率和流動性的需求不斷成長,導致個人對自動駕駛汽車 (Avs) 的使用率更高。此外,對安全功能的日益關注,例如先進的感測器融合、感知演算法、冗餘系統和網路安全,以確保安全操作和免受潛在網路威脅的保護,正在推動市場發展。除此之外,部署前在虛擬場景中快速利用綜合模擬環境和測試框架正在推動自動駕駛開發平台的採用。汽車原始設備製造商和技術公司之間不斷加強的合作將特定領域的專業知識與自動駕駛開發平台相結合,進一步推動了市場的發展。影響該市場的其他一些因素包括快速城市化、工業 4.0 的出現、對高排放水平日益嚴重的環境問題以及主要參與者進行的廣泛研發 (R&D) 活動。
The global autonomous vehicle (AV) development platform market size reached US$ 27.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 226.2 Billion by 2032, exhibiting a growth rate (CAGR) of 25.6% during 2024-2032. The escalating demand for autonomous vehicles in numerous end-use sectors, rising popularity of ride-sharing services and the concept of Mobility-as-a-Service (MaaS), and the widespread demand for enhanced efficiency and mobility for individuals with limited mobility represent some of the key factors driving the market.
Autonomous vehicle (AV) development platform refers to a comprehensive software and hardware framework that enables developers to build, simulate, and deploy autonomous driving solutions by providing essential resources and infrastructure. This platform leverages computer vision, sensor fusion, mapping, and control systems to execute control commands in simulation environments to test the algorithms and vehicle models in virtual scenarios. The sensor data is analyzed to perceive the environment and detecting objects, pedestrians, road signs, and traffic conditions, while also facilitating precise localization, mapping, and navigation. Additionally, the platform is designed to be modular and scalable to support the development of autonomous systems across various vehicle types. In addition to this, it implements algorithms for path planning, trajectory generation, and decision-making and configure components according to the specific needs of a particular vehicle, thereby enabling safe and autonomous driving. Some of the advantages provided by the autonomous vehicle (AV) development platforms include accelerated development timeline, enhanced flexibility and customization, and reduced risk of potential accidents or failures in real-life situations.
The global market is primarily driven by the escalating demand for autonomous vehicles in numerous end-use sectors, including transportation and logistics. This can be attributed to the rising popularity of ride-sharing services and the concept of Mobility-as-a-Service (MaaS). In line with this, continual advancements in artificial intelligence (AI), machine learning (ML), computer vision, sensor technology, and connectivity are providing an impetus to the market. Moreover, the rising demand for enhanced efficiency and mobility for individuals with limited mobility is resulting in a higher uptake of autonomous vehicles (Avs) among the individuals. Also, an enhanced focus on safety features, such as advanced sensor fusion, perception algorithms, redundancy systems, and cybersecurity, to ensure safe operation and protection from potential cyber threats is fueling the market. In addition to this, the rapid utilization of comprehensive simulation environments and testing frameworks in virtual scenarios before deployment is propelling the adoption of AV development platforms. The market is further driven by the rising collaborations between automotive OEMs and technology companies to integrate domain-specific expertise with AV development platforms. Some of the other factors contributing to the market include rapid urbanization, the advent of Industry 4.0, rising environmental concerns regarding high emission levels, and extensive research and development (R&D) activities conducted by key players.
IMARC Group provides an analysis of the key trends in each segment of the global autonomous vehicle (AV) development platform market, along with forecasts at the global, regional, and country levels from 2024-2032. Our report has categorized the market based on vehicle type and end user.
Passenger Car
Commercial Vehicle
The report has provided a detailed breakup and analysis of the autonomous vehicle (AV) development platform market based on the vehicle type. This includes passenger car and commercial vehicle. According to the report, passenger car represented the largest segment.
Mixed AVDP
Image-Based AVDP
Sensor Fusion-based AVDP
A detailed breakup and analysis of the autonomous vehicle (AV) development platform market based on the end user has also been provided in the report. This includes mixed AVDP, image-based AVDP, and sensor fusion-based AVDP. According to the report, mixed AVDP accounted for the largest market share.
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for autonomous vehicle (AV) development platform. Some of the factors driving the North America autonomous vehicle (AV) development platform market included the escalating demand for autonomous vehicles in numerous end-use sectors, the advent of Industry 4.0, extensive research and development (R&D) activities conducted by key players, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global autonomous vehicle (AV) development platform market. Detailed profiles of all major companies have been provided. Some of the companies covered include ANSYS Inc., Elektrobit Automotive GmbH (Continental AG), Five AI Limited (Robert Bosch GmbH), Ford Motor Company, General Motors Co., Hexagon AB, NVIDIA Corporation, Porsche Automobil Holding SE, Qualcomm Inc., Renault SAS, Siemens AG, Tata Consultancy Services Ltd, etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.
Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.