市场调查报告书
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到 2028 年的车辆预测技术市场预测——按硬件、部署、应用程序和地区进行的全球分析Predictive Vehicle Technology Market Forecasts to 2028 - Global Analysis By Hardware, Deployment, Application and By Geography |
根据Stratistics MRC,2022年全球预测汽车技术市场规模将达到378.6亿美元,预测期内復合年增长率为22.1%,2028年将达到1254亿美元。预计达到5000万美元。
人工智能 (AI) 和机器学习 (ML) 与预测性车辆技术相结合,可了解车主模式和驾驶习惯,从而提高车辆安全性。 数据挖掘、神经网络、系统建模和仿真是一些可用的工具。 通过自动化更改车辆设置(例如信息娱乐系统和应用程序设置)的过程,预测性车辆技术可增强单个驾驶员的驾驶体验。 AI 和 ML 已成为未来汽车和汽车行业的关键因素,因为预测技术在所有车辆类型中变得司空见惯,为服务商提供舒适和便利。
根据美国汽车政策委员会的报告,2017 年,美国汽车製造商和供应商在汽车研发领域的支出超过 210 亿美元。
车辆配备了多种技术,可以检测道路上的障碍物和其他车辆,并采取主动行动,例如保持车速和与其他车辆的距离。. 此外,车辆现在相互连接并根据需要交流信息,减少了旅行时间和精力。 这些新技术还使汽车更安全、更可靠,从而提高了驾驶员和汽车的安全水平。 这是第一次,一个完全集成的基于云的平台,用于创建、运行和维护车载应用程序,提供更好的连接、设备管理、分析、安全等。 因此,车辆预测技术市场有望随着消费者对技术先进车辆的需求而增长。
随着电子商务、移动、宽带接入和社交等行业引入大数据、分析、云计算、传感器和物联网 (IoT) 等技术,全球经济正在转变为数字市场媒体。正在发生巨大变化。 世界经济论坛预测,将有超过 381 亿台联网设备。 因此,汽车行业面临的一个主要挑战是采用和维持连接设备生态系统,以补充可预测的汽车技术。
车辆预测技术在市场上越来越受欢迎的一个重要趋势是技术改进。 为了提高市场地位,参与车辆预测技术开发的主要参与者正致力于提供新的技术进步。 车辆预测技术还利用远程信息处理、车载诊断 (OBD) 端口和 ADAS(高级驾驶员辅助)组件等硬件元素来预测驾驶行为并协助驾驶员。 这些最新技术提高了汽车的安全性,是扩大市场的一个因素。
製造商、服务提供商、联邦和州政府都非常希望保护半自动和全自动车辆免受黑客攻击。 对传统车辆的巧妙黑客攻击已经证明了这种混乱的发生。 通过安全气囊、照明系统和胎压监测系统等数十个入口点,黑客甚至可以访问传统的车辆电气系统。 除了黑客之外,许多公共和商业实体,包括保险业、警察、紧急服务以及技术和传感器供应商,都希望在发生事故时访问车辆数据。 目前,没有禁止製造商或软件供应商向其他公司出售特定车辆或驾驶员数据的规定。 这些因素限制了市场的扩张。
COVID-19 疫情正在缩小车辆预测技术的市场。 停电影响了车辆预测技术市场,这是一个不断发展的行业。 全球大流行已经停止了汽车生产,削弱了汽车预测技术的供应。 此外,由于不鼓励亲密关係的社会习俗造成的劳动力短缺也影响了生产车辆预测技术所需硬件的能力。 此外,全球经济放缓和个人可支配收入下降预计将影响汽车需求。 此外,车辆预测技术市场也受到车辆市场增速放缓的影响。
ADAS领域预计占比最大,因为它配备了各种传感器,如摄像头、雷达、激光雷达和超声波传感器。 数据由这些传感器感测并发送以供进一步处理。 此外,在许多 ADAS 应用中,这些传感器可单独使用或组合使用。 为了提高车辆的安全性能,世界各地的顶级汽车製造商正在将尖端技术应用于乘用车和商用车。
由于越来越多地使用商用车远程信息处理技术和提高车辆安全性,预计商用车细分市场在预测期内将实现利润丰厚的增长。 Telematics主要提供信息娱乐选项、GPS定位监控、卫星导航等。 此外,实时跟踪车辆位置的能力有助于提醒服务人员注意交通拥堵和事故、天气问题和拥堵路线等。 这些因素促成了商用车市场的快速扩张。
由于中国和印度等世界上增长最快的经济体的存在,亚太地区预计在预测期内将占据最大的市场份额。 由于消费者信心的增强,亚太地区也是全球最大的汽车市场。 此外,该地区乘用车和商用车的销量正在增加,刺激了市场扩张。 该地区的国家已投票决定将商用远程信息处理技术应用于新车,这有利于全球商用远程信息处理行业。
由于汽车行业和政府采取的措施,预计北美在预测期内的复合年增长率最高。 例如,美国交通部发起了“智能城市挑战”,呼吁企业在全国范围内应对智能移动挑战。 在美国,汽车行业正在大力投资汽车技术。
汽车预测技术市场的主要参与者包括:、Aptiv PLC、Bayerische Motoren Werke AG(BMW)、Cohda Wireless、Continental AG、Garrett Motion Inc、General Electric Company、Harman International、Hella KGaA Hueck &Co、Honeywell International Inc、IBM Corporation、Insego Corporation、Microsoft Corporation、Nxp Semiconductors N.V, Perceptive Automata, Inc、Qualcomm, Quantum Inventions Pte Ltd., Robert Bosch GmbH, SAP SE, Siemens AG, Sierra Wireless, Teletrac Navman, Thales Group, TIBCO Software Inc, TPL Trakker, Valeo, Visteon Corporation, Zensar Technologies Ltd. and ZF Friedrichshafen Aga.
2023 年 4 月,爱信将发布“Michilog 2.0”,这是一项配备了利用 AI 的新功能的道路维护管理服务。 将在已经进行了实证试验的冈崎市和刈谷市引进,计划全面投入使用。
2022 年 12 月,专注于让移动变得更安全、更环保、更互联的全球科技公司 Aptiv PLC 宣布,全球领先的智能边缘软件供应商 Wind River (R) 已完成收购. 风河软件支持关键任务智能係统的安全开发、部署、操作和维护。 该公司的技术被航空航天和国防、通信、工业、医疗和汽车等高价值行业的 1,700 多家客户部署在超过 20 亿台边缘设备中。
2022年6月,丰田纺织、爱信、白木将爱信集团汽车座椅骨架机械零部件在国内的主要生产基地白木的名古屋工厂转移至丰田纺织,并转移生产。我们已签署生产转移协议和
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According to Stratistics MRC, the Global Predictive Vehicle Technology Market is accounted for $37.86 billion in 2022 and is expected to reach $125.45 billion by 2028 growing at a CAGR of 22.1% during the forecast period. Artificial intelligence (AI) and machine learning (ML) are combined in predictive vehicle technology to understand the patterns and driving habits of the vehicle owner and improve vehicle safety. Data mining, neural networks, system modeling, and simulation are some of the available tools. By automating the process of changing vehicle settings, such as the infotainment system and application preferences, predictive vehicle technology enhances the driving experience for each individual driver. Since predictive technologies are becoming more common across all vehicle types to give the driver comfort and convenience, AI and ML are crucial components of future vehicles and the automobile industry.
According to the American Automotive Policy Council Report, in 2017, the U.S. automakers & suppliers spent more than USD 21 billion on the automotive R&D sector.
The vehicles have a number of technologies that can detect impediments or other vehicles on the road and take preventative action, like maintaining the vehicle's speed and distance from other vehicles. Also, the vehicles are currently connected to one another and communicate information as needed, which reduces travel time and effort. Also, these new technologies make vehicles safer and more secure, which raises the level of safety for both drivers and cars. The first fully integrated cloud-based platform for creating, running, and maintaining in-vehicle apps that offer good connection, device management, analytics, safety, and other features. Hence, it is anticipated that the market for predictive vehicle technology will increase in line with consumer desire for technologically advanced vehicles.
With the introduction of technologies like big data and analytics, cloud computing, sensors, and the internet of things (IoT) in industries like e-commerce, mobility, broadband access, and social media, the global economy is drastically changing into a digital marketplace. The World Economic Forum predicts that there will be more than 38.1 billion linked devices. As a result, the key challenge for the automotive industry is to adopt and maintain a connected device ecosystem that complements predictive vehicle technology.
A crucial trend that is becoming more popular in the market for predictive vehicle technology is technological improvement. To enhance their position in the market, the major firms involved in the development of predictive vehicle technology are concentrating on offering new technological advancements. In order to forecast driving behavior and help the driver, predictive vehicle technology also makes use of hardware elements, including telematics, onboard diagnostics (OBD) ports, and ADAS (advanced driver assistance) components. The safety of automobiles is improved by these modern technologies, which are causing the market to expand.
Manufacturers, service providers, and the federal and state governments are all quite concerned with safeguarding a semi- or completely autonomous car from hackers. It was demonstrated by the skilled hacking of a traditional vehicle that such disruptions may occur. More than a dozen entry points, such as the airbag, the lighting system, and the tire pressure monitoring system, might be used by hackers to get access to even conventional vehicles' electrical systems. In addition to hackers, numerous public and commercial organizations, like those in the insurance industry, law enforcement, first responders, and suppliers of technology and sensors, would desire access to car data in the event of an accident. There are currently no rules that forbid manufacturers and software providers from selling the data on specific vehicles and drivers to other companies. Such elements limit market expansion.
The COVID-19 epidemic has caused a decline in the market for predictive vehicle technology. The shutdown affected the market for predictive vehicle technology, which is a constantly developing industry. The global pandemic caused an end to automobile production, which disrupted the supply of predictive vehicle technology. Also, the lack of labor owing to social conventions that discourage close relationships and other restrictions has an impact on the ability to produce the hardware necessary for predictive vehicle technology. Moreover, it is anticipated that the demand for vehicles will be impacted by the recession in the global economy and the decline in personal disposable income. Moreover, the market for predictive vehicle technology is being impacted by the decline in vehicle market growth.
The ADAS segment is estimated to register the largest share due to its variety of sensors, including cameras, radar, LiDAR, and ultrasonic sensors. The data is sensed by these sensors and sent for additional processing. Furthermore, in many ADAS applications, these sensors can be employed singly or in combination. To improve vehicle safety performance, top automakers from around the world are integrating cutting-edge technology in both passenger and commercial vehicles.
The commercial vehicles segment is anticipated to witness lucrative growth during the forecast period because commercial vehicle telematics usage is expanding and improving fleet safety. It mainly offers infotainment options, GPS location monitoring, and satellite navigation. Moreover, the ability to track a vehicle's location in real time is helpful for alerting drivers of impending traffic, car accidents, weather problems, and congested routes. These elements have contributed to the commercial vehicle market's quickest expansion.
Asia Pacific is projected to hold the largest market share during the forecast period owing to the presence of several of the world's fastest-growing economies, including China and India. Also, the Asia Pacific region is the world's largest market for automobiles as a result of rising consumer spending power in the area. Also, the region's rising sales of passenger cars and commercial vehicles are fueling the market's expansion. The nations in this region are in favor of commercial telematics being included in new cars which benefits the global commercial telematics industry.
North America is projected to have the highest CAGR over the forecast period, owing to the measures undertaken by participants in the automotive industry and the governments in this region. For instance, the U.S. Department of Transportation has launched the "Smart City Challenge," which invites businesses to work on issues related to smart mobility across the nation. In the United States, the automobile sector is making large investments in automotive technology.
Some of the key players profiled in the Predictive Vehicle Technology Market include: Aisin Corporation, Aptiv PLC, Bayerische Motoren Werke AG (BMW), Cohda Wireless, Continental AG, Garrett Motion Inc.,, General Electric Company, Harman International, Hella KGaA Hueck & Co., Honeywell International Inc., IBM Corporation, Inseego Corporation, Microsoft Corporation, Nxp Semiconductors N.V, Perceptive Automata, Inc., Qualcomm, Quantum Inventions Pte Ltd., Robert Bosch GmbH, SAP SE, Siemens AG, Sierra Wireless, Teletrac Navman, Thales Group, TIBCO Software Inc., TPL Trakker, Valeo, Visteon Corporation, Zensar Technologies Ltd. and ZF Friedrichshafen Aga.
In April 2023, AISIN will release the road maintenance and management service Michi-log 2.0, which is equipped with new functions that utilize AI. It will be introduced in Okazaki City and Kariya City, where demonstration tests have already been conducted, and full-scale operation will begin.
In December 2022, Aptiv PLC a global technology company focused on making mobility safer, greener and more connected, has completed the acquisition of Wind River®, a global leader in delivering software for the intelligent edge. Wind River software enables the secure development, deployment, operations and servicing of mission-critical intelligent systems. The company's technology is in over two billion edge devices across more than 1,700 customers in high-value industries, including aerospace and defense, telecommunications, industrial, medical and automotive.
In June 2022, Toyota Boshoku, Aisin and Shiroki have signed a production transfer contract that agreed to transfer Shiroki's Nagoya Plant, which is the main domestic production base for Aisin group's automotive seat frame mechanism parts, to Toyota Boshoku and transfer its production.
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