市場調查報告書
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1457122
車輛分析市場 – 2024 年至 2029 年預測Vehicle Analytics Market - Forecasts from 2024 to 2029 |
2022 年車輛分析市值為 79.02 億美元,預計複合年成長率為 13.45%,到 2029 年市場規模將達到 191.16 億美元。
車輛分析系統地檢查車輛收集的資料,以提取有洞察力的資訊並增強車輛功能的各個方面。車輛分析透過使用感測器、汽車電腦和交通狀況等外部來源的資料,幫助相關人員提高性能、簡化維護並提高整體效率。
許多細分市場都利用了這個細分市場,包括供應鏈最佳化、連網車輛服務、保險遠端資訊處理、車隊管理、預測性維護、駕駛員行為監控和基於使用情況的收費。車輛分析結合使用硬體和先進的軟體平台,透過機器學習和其他方法來理解大型資料集。這使得決策者能夠做出明智的決策,並促進汽車產業的持續進步。
車輛分析解決方案允許駕駛員和車輛/車主收集有關車輛當前狀態的資料並了解車輛駕駛員在路上的行為。這些解決方案提供對駕駛員和車輛在道路上的性能的詳細分析。
此外,車主之間日益激烈的競爭將進一步推動車主對這些先進解決方案的需求,使他們能夠更清晰地了解自己的駕駛情況,並採取進一步措施來最大化收益。此外,擴大採用基於使用的保險也是預計對未來五年市場成長產生積極影響的關鍵因素之一。
此外,由於最終用戶的需求不斷增加,車隊管理行業的主要企業正在大力投資研發,以開發最新、最前沿的解決方案,預計這也將滿足未來幾年車隊的需求。全球領先汽車製造商擴大採用車輛分析解決方案,預計將在預測期內進一步增加需求並推動車輛分析市場的成長。例如,2022年3月,戴姆勒卡車在印度設立研發中心,支援智慧卡車作業系統。
基於使用情況的保險的日益普及是預計推動汽車領域採用高級分析的關鍵因素之一。因為它們提供了對駕駛員行為的詳細即時分析,使汽車保險公司更容易更準確地定價保費。基於使用情況的保險也描述了透過獎勵消費者減少駕駛里程或養成更安全的駕駛習慣來控制保費成本的能力。
自動遠端資訊處理還允許駕駛員從過去的駕駛行為中學習,並更加了解自己的駕駛模式。它還使保險公司在發生事故時更容易準確了解駕駛資料。這進一步有助於防止司機和車主提出虛假申請,並澄清實際發生的情況。
車輛連接性的不斷增強對車輛分析市場產生了重大影響,產生了大量的即時資料,可以透過檢查這些數據來提高車輛效率、安全性和性能的各個方面。遠端資訊處理系統、汽車感測器和物聯網設備等技術帶來的車輛連接性的增強意味著汽車能夠產生大量有關其位置、速度、引擎健康狀況、消費量和駕駛員行為的資訊。車輛分析系統可以利用這些資料來深入了解駕駛員安全、車隊管理、預測性維護和駕駛最佳化。
全球車輛分析市場分為軟體和服務。由於全球擴大採用車輛分析解決方案,預計軟體領域將在市場中佔據一定佔有率。公司需要軟體元件來監控和管理車輛以及出於報告目的而收集的其他即時資料。
軟體由將收集的資訊轉換為有意義的資料的系統組成,例如用於產生報告的軟體。然而,由於技術進步和需求不斷增加,主要市場相關人員正在投資於現代系統和軟體開發的研發。預計這將在預測期內進一步推動車輛分析軟體市場的成長。
預計歐洲將成為一個重要的區域市場。
從地區來看,車輛分析市場分為北美、南美、歐洲、中東和非洲以及亞太地區。由於歐洲地區存在主要豪華汽車製造商,預計歐洲地區將在市場中佔據顯著佔有率。此外,歐洲公司正在大力投資自動駕駛和聯網汽車汽車。因此,自動駕駛技術的快速支出被認為是歐洲地區市場成長的關鍵因素之一。
此外,由於技術的早期採用和現有基礎設施的存在,預計北美將提供良好的成長機會。由於電子商務行業的快速成長和叫車服務的上升趨勢,預計亞太地區將呈現出可觀的成長率,其中中國和印度等國家將在很大程度上推動對這些解決方案的需求。
The vehicle analytics market is evaluated at US$7.902 billion for the year 2022 and is projected to grow at a CAGR of 13.45% to reach a market size of US$19.116 billion by the year 2029.
Vehicle analytics is the methodical examination of data collected by automobiles to extract insightful information and enhance many facets of their functioning. Vehicle analytics helps stakeholders increase performance, simplify maintenance, and boost overall efficiency by using data from sensors, onboard computers, and outside sources like traffic conditions.
Numerous fields, including supply chain optimisation, linked automobile services, insurance telematics, fleet management, predictive maintenance, driver behaviour monitoring, and usage-based charging, use this discipline. Vehicle analytics uses a mix of hardware and advanced software platforms to understand large datasets using machine learning and other approaches. This helps decision-makers make well-informed decisions and promotes ongoing advances in the automotive industry.
The vehicle analytics solutions allow the drivers and the fleet/vehicle owners to gather data regarding the current situation of the vehicle, along with knowing the behaviour of the vehicle's driver throughout the journey. These solutions provide a detailed analysis of the performance of the driver and the vehicle throughout the journey.
Furthermore, the rising competition among the fleet owners is further anticipated to drive the demand for these advanced solutions by the fleet owners, to have clearer insights about the journey and take further steps to maximize the revenue. Moreover, the rising adoption of usage-based insurance is also one of the prime factors that are expected to positively impact the market's growth during the next five years.
Furthermore, key players in the fleet management industry are investing heavily in R&D to develop the latest and most advanced solutions due to the growing requirements from their end-users, which is also anticipated to augment the market for vehicle analytics solutions during the coming years. The growing adoption of vehicle analytics solutions by big automakers globally is further expected to increase the demand and thus drive the growth of the vehicle analytics market during the forecast period. For instance, in March 2022, Daimler Truck set up a research and development centre in India to aid its intelligent truck operating system.
The rising popularity of usage-based insurance is one of the prime factors which is anticipated to drive the adoption of advanced analytics in vehicles. This is because these provide real-time in-depth analysis of driver behaviour, making it easier for auto insurers to more accurately price premiums. Also, usage-based insurance provides consumers with the ability to control their premium costs by providing them with incentives in the event of reduced miles driven, and the adoption of safer driving habits.
Also, by utilizing auto-telematics, drivers can learn from their previous driving behaviours and be well aware of their driving patterns. Also, it will be easier for insurers to develop accurate insights regarding driving data in the event of an accident. This will further help in protection against false claims by the driver or the owner of the vehicle and would clarify what happened actually.
The vehicle analytics market is being greatly impacted by the growing connection of automobiles, which is generating an abundance of real-time data that can be examined to enhance many facets of vehicle efficiency, safety, and performance. Vehicles are producing enormous volumes of data on location, speed, engine health, fuel consumption, and driver behaviour as a result of increased vehicle connectivity brought about by technology like telematics systems, onboard sensors, and Internet of Things devices. Vehicle analytics systems may use this data to offer insights into driver safety, fleet management, predictive maintenance, and operational optimisation.
Based on offerings, the global vehicle analytics market is segmented as software and services. The software segment is anticipated to hold a decent share of the market due to the increasing adoption of vehicle analytics solutions globally. Software components are necessary for organizations to monitor and manage their vehicle fleets and other real-time data that is collected for the preparation of reports.
The software consists of systems that convert the collected information into meaningful data, for instance, software for generating reports. However, the improvement in technology and growing requirements are further leading to investments by big market players in R&D for the development of the latest systems and software. This is further expected to propel the growth of the vehicle analytics software market during the forecast period.
Europe is anticipated to be the major regional market.
Geographically, the vehicle analytics market is segmented into North America, South America, Europe, the Middle East, Africa, and the Asia Pacific. The European region is anticipated to hold a noteworthy share of the market on account of the presence of key luxury automotive manufacturers in the region. Furthermore, European companies are spending heavily on autonomous and connected vehicles. Thus, the rapid spending on the Offering of autonomous technology is considered one of the prime factors for the growth of the market in the European region.
Furthermore, North America is projected to show good growth opportunities on account of the early adoption of technology and the presence of well-established infrastructure. The Asia Pacific region is projected to grow at a decent rate on account of rapid growth in the e-commerce industry coupled with a rising trend of ride-hailing services, which is significantly driving the demand for these solutions in countries like China and India.