市场调查报告书
商品编码
1451922
2024-2032 年按车辆类型(乘用车、商用车)、最终用户(混合 AVDP、基于影像的 AVDP、基于感测器融合的 AVDP)和区域分類的自动驾驶汽车 (AV) 开发平台市场报告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年全球自动驾驶汽车(AV)开发平台市场规模达275亿美元。展望未来, IMARC Group预计到2032年市场规模将达到2,262亿美元,2024-2032年复合年增长率(CAGR)为25.6% 。众多最终用途领域对自动驾驶汽车的需求不断增长,乘车共享服务和移动即服务 (MaaS) 概念的日益普及,以及行动不便的个人对提高效率和移动性的广泛需求,代表了推动市场的一些关键因素。
自动驾驶汽车(AV)开发平台是指一个全面的软体和硬体框架,使开发人员能够透过提供必要的资源和基础设施来建置、模拟和部署自动驾驶解决方案。该平台利用电脑视觉、感测器融合、测绘和控制系统在模拟环境中执行控制命令,以在虚拟场景中测试演算法和车辆模型。透过分析感测器资料来感知环境并侦测物体、行人、路标和交通状况,同时也有助于精确定位、地图绘製和导航。此外,该平台设计为模组化和可扩展的,以支援跨各种车辆类型的自主系统的开发。除此之外,它还实现路径规划、轨迹生成和决策的演算法,并根据特定车辆的特定需求配置组件,从而实现安全自动驾驶。自动驾驶汽车 (AV) 开发平台提供的一些优点包括加快开发时间、增强灵活性和客製化,以及降低现实生活中潜在事故或故障的风险。
全球市场主要是由运输和物流等众多最终用途领域对自动驾驶汽车的需求不断增长所推动的。这可以归因于乘车共享服务的日益普及和移动即服务(MaaS)的概念。与此一致,人工智慧 (AI)、机器学习 (ML)、电脑视觉、感测器技术和连接性的不断进步正在为市场提供动力。此外,行动不便的个人对提高效率和流动性的需求不断增长,导致个人对自动驾驶汽车 (Avs) 的使用率更高。此外,对安全功能的日益关注,例如先进的感测器融合、感知演算法、冗余系统和网路安全,以确保安全操作和免受潜在网路威胁的保护,正在推动市场发展。除此之外,部署前在虚拟场景中快速利用综合模拟环境和测试框架正在推动自动驾驶开发平台的采用。汽车原始设备製造商和技术公司之间不断加强的合作将特定领域的专业知识与自动驾驶开发平台相结合,进一步推动了市场的发展。影响该市场的其他一些因素包括快速城市化、工业 4.0 的出现、对高排放水平日益严重的环境问题以及主要参与者进行的广泛研发 (R&D) 活动。
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.