市场调查报告书
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车辆分析市场 – 2024 年至 2029 年预测Vehicle Analytics Market - Forecasts from 2024 to 2029 |
2022 年车辆分析市值为 79.02 亿美元,预计复合年增长率为 13.45%,到 2029 年市场规模将达到 191.16 亿美元。
车辆分析系统地检查车辆收集的资料,以提取有洞察力的资讯并增强车辆功能的各个方面。车辆分析透过使用感测器、汽车电脑和交通状况等外部来源的资料,帮助相关人员提高性能、简化维护并提高整体效率。
许多细分市场都利用了这个细分市场,包括供应链优化、连网车辆服务、保险远端资讯处理、车队管理、预测性维护、驾驶员行为监控和基于使用情况的收费。车辆分析结合使用硬体和先进的软体平台,透过机器学习和其他方法来理解大型资料集。这使得决策者能够做出明智的决策,并促进汽车产业的持续进步。
车辆分析解决方案允许驾驶员和车辆/车主收集有关车辆当前状态的资料并了解车辆驾驶员在路上的行为。这些解决方案提供对驾驶员和车辆在道路上的性能的详细分析。
此外,车主之间日益激烈的竞争将进一步推动车主对这些先进解决方案的需求,使他们能够更清晰地了解自己的驾驶情况,并采取进一步措施来最大化收益。此外,越来越多地采用基于使用的保险也是预计对未来五年市场成长产生积极影响的关键因素之一。
此外,由于最终用户的需求不断增加,车队管理行业的主要企业正在大力投资研发,以开发最新、最前沿的解决方案,预计这也将满足未来几年车队的需求。全球领先汽车製造商越来越多地采用车辆分析解决方案,预计将在预测期内进一步增加需求并推动车辆分析市场的成长。例如,2022年3月,戴姆勒卡车在印度设立研发中心,支援智慧卡车作业系统。
基于使用情况的保险的日益普及是预计推动汽车领域采用高级分析的关键因素之一。因为它们提供了对驾驶员行为的详细即时分析,使汽车保险公司更容易更准确地定价保费。基于使用情况的保险也描述了透过奖励消费者减少驾驶里程或养成更安全的驾驶习惯来控制保费成本的能力。
自动远端资讯处理还允许驾驶员从过去的驾驶行为中学习,并更加了解自己的驾驶模式。它还使保险公司在发生事故时更容易准确了解驾驶资料。这进一步有助于防止司机和车主提出虚假申请,并澄清实际发生的情况。
车辆连接性的不断增强对车辆分析市场产生了重大影响,产生了大量的即时资料,可以透过检查这些数据来提高车辆效率、安全性和性能的各个方面。远端资讯处理系统、汽车感测器和物联网设备等技术带来的车辆连接性的增强意味着汽车能够产生大量有关其位置、速度、引擎健康状况、消费量和驾驶员行为的资讯。车辆分析系统可以利用这些资料来深入了解驾驶员安全、车队管理、预测性维护和驾驶优化。
全球车辆分析市场分为软体和服务。由于全球越来越多地采用车辆分析解决方案,预计软体领域将在市场中占据一定份额。公司需要软体元件来监控和管理车辆以及出于报告目的而收集的其他即时资料。
软体由将收集的资讯转换为有意义的资料的系统组成,例如用于产生报告的软体。然而,由于技术进步和需求不断增加,主要市场相关人员正在投资于现代系统和软体开发的研发。预计这将在预测期内进一步推动车辆分析软体市场的成长。
预计欧洲将成为一个重要的区域市场。
从地区来看,车辆分析市场分为北美、南美、欧洲、中东和非洲以及亚太地区。由于欧洲地区存在主要豪华汽车製造商,预计欧洲地区将在市场中占据显着份额。此外,欧洲公司正在大力投资自动驾驶和联网汽车汽车。因此,自动驾驶技术的快速支出被认为是欧洲地区市场成长的关键因素之一。
此外,由于技术的早期采用和现有基础设施的存在,预计北美将提供良好的成长机会。由于电子商务行业的快速成长和叫车服务的上升趋势,预计亚太地区将呈现出可观的成长率,其中中国和印度等国家将在很大程度上推动对这些解决方案的需求。
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.