市場調查報告書
商品編碼
1258912
到 2028 年的車輛預測技術市場預測——按硬件、部署、應用程序和地區進行的全球分析Predictive Vehicle Technology Market Forecasts to 2028 - Global Analysis By Hardware, Deployment, Application and By Geography |
根據Stratistics MRC,2022年全球預測汽車技術市場規模將達到378.6億美元,預測期內復合年增長率為22.1%,2028年將達到1254億美元。預計達到5000萬美元。
人工智能 (AI) 和機器學習 (ML) 與預測性車輛技術相結合,可了解車主模式和駕駛習慣,從而提高車輛安全性。 數據挖掘、神經網絡、系統建模和仿真是一些可用的工具。 通過自動化更改車輛設置(例如信息娛樂系統和應用程序設置)的過程,預測性車輛技術可增強單個駕駛員的駕駛體驗。 AI 和 ML 已成為未來汽車和汽車行業的關鍵因素,因為預測技術在所有車輛類型中變得司空見慣,為服務商提供舒適和便利。
根據美國汽車政策委員會的報告,2017 年,美國汽車製造商和供應商在汽車研發領域的支出超過 210 億美元。
車輛配備了多種技術,可以檢測道路上的障礙物和其他車輛,並採取主動行動,例如保持車速和與其他車輛的距離。. 此外,車輛現在相互連接並根據需要交流信息,減少了旅行時間和精力。 這些新技術還使汽車更安全、更可靠,從而提高了駕駛員和汽車的安全水平。 這是第一次,一個完全集成的基於雲的平台,用於創建、運行和維護車載應用程序,提供更好的連接、設備管理、分析、安全等。 因此,車輛預測技術市場有望隨著消費者對技術先進車輛的需求而增長。
隨著電子商務、移動、寬帶接入和社交等行業引入大數據、分析、雲計算、傳感器和物聯網 (IoT) 等技術,全球經濟正在轉變為數字市場媒體。正在發生巨大變化。 世界經濟論壇預測,將有超過 381 億台聯網設備。 因此,汽車行業面臨的一個主要挑戰是採用和維持連接設備生態系統,以補充可預測的汽車技術。
車輛預測技術在市場上越來越受歡迎的一個重要趨勢是技術改進。 為了提高市場地位,參與車輛預測技術開發的主要參與者正致力於提供新的技術進步。 車輛預測技術還利用遠程信息處理、車載診斷 (OBD) 端口和 ADAS(高級駕駛員輔助)組件等硬件元素來預測駕駛行為並協助駕駛員。 這些最新技術提高了汽車的安全性,是擴大市場的一個因素。
製造商、服務提供商、聯邦和州政府都非常希望保護半自動和全自動車輛免受黑客攻擊。 對傳統車輛的巧妙黑客攻擊已經證明了這種混亂的發生。 通過安全氣囊、照明系統和胎壓監測系統等數十個入口點,黑客甚至可以訪問傳統的車輛電氣系統。 除了黑客之外,許多公共和商業實體,包括保險業、警察、緊急服務以及技術和傳感器供應商,都希望在發生事故時訪問車輛數據。 目前,沒有禁止製造商或軟件供應商向其他公司出售特定車輛或駕駛員數據的規定。 這些因素限制了市場的擴張。
COVID-19 疫情正在縮小車輛預測技術的市場。 停電影響了車輛預測技術市場,這是一個不斷發展的行業。 全球大流行已經停止了汽車生產,削弱了汽車預測技術的供應。 此外,由於不鼓勵親密關係的社會習俗造成的勞動力短缺也影響了生產車輛預測技術所需硬件的能力。 此外,全球經濟放緩和個人可支配收入下降預計將影響汽車需求。 此外,車輛預測技術市場也受到車輛市場增速放緩的影響。
ADAS領域預計佔比最大,因為它配備了各種傳感器,如攝像頭、雷達、激光雷達和超聲波傳感器。 數據由這些傳感器感測並發送以供進一步處理。 此外,在許多 ADAS 應用中,這些傳感器可單獨使用或組合使用。 為了提高車輛的安全性能,世界各地的頂級汽車製造商正在將尖端技術應用於乘用車和商用車。
由於越來越多地使用商用車遠程信息處理技術和提高車輛安全性,預計商用車細分市場在預測期內將實現利潤豐厚的增長。 Telematics主要提供信息娛樂選項、GPS定位監控、衛星導航等。 此外,實時跟蹤車輛位置的能力有助於提醒服務人員注意交通擁堵和事故、天氣問題和擁堵路線等。 這些因素促成了商用車市場的快速擴張。
由於中國和印度等世界上增長最快的經濟體的存在,亞太地區預計在預測期內將佔據最大的市場份額。 由於消費者信心的增強,亞太地區也是全球最大的汽車市場。 此外,該地區乘用車和商用車的銷量正在增加,刺激了市場擴張。 該地區的國家已投票決定將商用遠程信息處理技術應用於新車,這有利於全球商用遠程信息處理行業。
由於汽車行業和政府採取的措施,預計北美在預測期內的複合年增長率最高。 例如,美國交通部發起了“智能城市挑戰”,呼籲企業在全國范圍內應對智能移動挑戰。 在美國,汽車行業正在大力投資汽車技術。
汽車預測技術市場的主要參與者包括:、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,愛信將發布“Michilog 2.0”,這是一項配備了利用 AI 的新功能的道路維護管理服務。 將在已經進行了實證試驗的岡崎市和刈谷市引進,計劃全面投入使用。
2022 年 12 月,專注於讓移動變得更安全、更環保、更互聯的全球科技公司 Aptiv PLC 宣布,全球領先的智能邊緣軟件供應商 Wind River (R) 已完成收購. 風河軟件支持關鍵任務智能係統的安全開發、部署、操作和維護。 該公司的技術被航空航天和國防、通信、工業、醫療和汽車等高價值行業的 1,700 多家客戶部署在超過 20 億台邊緣設備中。
2022年6月,豐田紡織、愛信、白木將愛信集團汽車座椅骨架機械零部件在國內的主要生產基地白木的名古屋工廠轉移至豐田紡織,並轉移生產。我們已簽署生產轉移協議和
購買此報告的客戶將免費獲得以下定制之一。
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.
All the customers of this report will be entitled to receive one of the following free customization options: