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市场调查报告书
商品编码
1630206

车辆分析：市场占有率分析、产业趋势/统计、成长预测（2025-2030）

Vehicle Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

预计车辆分析市场在预测期内的复合年增长率为 24.3%。

车辆分析-市场-IMG1

随着巨量资料的兴起以及在压缩时限内做出关键业务决策的需求不断增长，商业智慧和分析工具在过去几年中获得了巨大的市场占有率。预计该行业在预测期内将出现积极增长。

主要亮点

  • 数位化已成为汽车产业技术创新的重要驱动力。汽车配备了至少 50 个感测器，旨在收集更详细的信息，如速度、排放气体、距离、资源使用、驾驶行为和燃油消费量。产生的资料将为汽车行业相关人员提供必要的技术进步，用于进一步分析、创建相关分析并更好地利用指标。
  • 预测分析应用程式允许最终用户评估过去的模式和驾驶行为，以确定未来的可能性。除此之外，联网汽车产业的成长预计将为汽车产业（包括分析）带来重大挑战和机会。它已成为创新的巨大驱动力。
  • 透过将车辆远端资讯处理资料和分析见解与客户和业务资料相结合，资料创新的经营模式。随着 Li-Fi 和 5G 等新的、更快的无线网路连接技术的发展，先进的资料驱动服务也面临越来越有吸引力的机会。认识到永续交通和运输管理的智慧解决方案，各国政府正在为新技术的推动者提供经济利益，以加速实施并加速实现战略目标。
  • 向云端的迁移预计也将推动产业成长并提供新的创新机会。然而，对线上覆盖和互通性的担忧预计将阻碍行业扩张。此外，该技术的高初始成本和解决方案的高价格预计将限制其在高端车辆中的采用并限制市场。

车辆分析市场趋势

预测性维护可望占据主要市场占有率

  • 汽车製造商不断透过感测器即时评估车辆部件的性能，为预测性维护方法提供了机会。您可以从给定年份和型号的大多数车辆中提取资料，并使用预测维护将这些资讯与保固维修趋势进行比较。如果密切监测和解决这些趋势，就可以减少重大召回的影响，最大限度地减少不必要的扳手时间，并有可能挽救生命。
  • 此外，车辆故障也是造成交通事故的主要原因之一。此类故障的发生往往是由于人为疏忽对车辆的及时维修和保养所造成的。预测分析解决方案在研究进行之前提醒业主潜在的维护需求。从车辆中安装的各种感测器收集的资料有助于执行预测性维护任务。
  • 认知预测维护可实现全面、即时和深入的洞察。此外，製造商流程的各个方面都将透过物联网连接起来，从而实现更智慧、更有效率的决策。据 Appinventiv 称，全球 5G 物联网 (IoT) 端点市场预计在联网汽车领域将大幅成长，从 2020 年的 40 万台增至今年的 1,910 万台。今年5G物联网的装置量预计将成长至约4,900万台。
  • 该市场仍然是先进预测解决方案的前沿。监控离合器和煞车皮磨损和使用情况的简化预测维护解决方案已成为主流。监测类似的磨损设备并做出未来预测。
  • 此外，车队经理越来越多地采用这些解决方案来保持最佳维护状态并主动减少设备故障。具有 GPS 追踪等功能的通讯技术的进步已成为一种经济高效的解决方案，并且易于实施。
  • 随着电动车需求的增加，这个市场有潜力成长。在电动车中，充电期间的电压波动可能会损坏电池。与人工智慧 (AI) 整合的预测分析有助于电池回馈和监控系统，以避免不必要的损坏，从而有助于延长电池寿命。

预计欧洲将占较大市场占有率

  • 欧洲国家正在利用先进技术来增强道路安全。据国际电信联盟称，欧洲 38% 的致命道路事故发生在都市区，凸显了欧洲采取严格道路安全措施的必要性。自动驾驶汽车和新技术在道路上的日益普及凸显了车辆分析实施范围的不断扩大。去年7月，一位参与欧洲全自动驾驶汽车立法制定的欧盟官员表示，欧盟行政部门计划在9月底前提案全球首个技术立法，并要求成员国开发先进的自动驾驶汽车技术。核准配备 .
  • 巨量资料概念的发展使得汽车製造商能够在车辆中储存结构化和半结构化资料，使他们能够自行收集、储存、分析和比较资料。这使他们能够产生有用的结果并做出决策，从而推动该地区对车辆分析的需求。
  • 车辆分析的云端部署是市场的关键驱动力之一。在欧洲，透过利用先进的线上运算能力和远端存取云端软体解决方案，车辆分析变得更加高效。汽车製造商现在可以利用这些远端存取系统来分析车辆指标、确定车辆健康状况，并为道路安全和智慧交通技术开发做出贡献。
  • 两家公司将共同努力，透过云端技术提供改进的系统，使汽车相关企业能够在欧洲利用云端。这对于尝试车辆分析等解决方案的新业务至关重要。去年11月，汽车业着名软体服务供应商四维图新欧洲与腾讯云宣布建立联合合作伙伴关係，以满足包括GDPR在内的所有欧洲监管要求和标准。
  • 此外，去年 2 月，OCTO Telematics 宣布与福特马达公司达成一项新协议，将其资料流合作扩展到欧洲。这是建立在去年7月在北美市场签署的第一份协议的基础上的。透过利用福特的连网车辆资料，OCTO 将改善其在英国、德国、义大利、法国和西班牙的保险和分析服务市场中经过验证的远端资讯处理服务。

车辆分析产业概述

车辆分析市场高度分散，主要参与者包括 SAP SE、CloudMade、Genetec Inc.、HARMAN International Industries Inc. 和 IBM Corporation。市场参与者正在采取伙伴关係、创新、投资和收购等策略来加强其产品供应并获得永续的竞争优势。我们透过在研发方面的大量投资不断创新产品的能力使我们比竞争对手更具竞争优势，并获得了巨大的市场占有率。

  • 2022 年 10 月，IBM 发布了其软体的新版本 4.0。 IoT Connected Vehicle Insight Private 是一款连网汽车软体，旨在透过将认知运算功能扩展到连网汽车来改善车内体验。现代汽车是移动资料中心，配有车载感测器和计算机，可以近乎即时地收集和检索车辆资料。 IoT Connected Vehicle Insights Private 可让您存取、管理和分析来自连网车辆的大量资料。

其他好处：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • COVID-19 对市场的影响

第五章市场动态

  • 市场驱动因素
    • 车辆远端资讯处理的扩展
    • 人工智慧和预测分析等技术的进步推动了车队管理的应用
  • 市场限制因素
    • 解决方案的高成本限制了豪华车的实施

第六章 市场细分

  • 按发展
    • 本地
    • 云
  • 按用途
    • 预测性维护
    • 安全保卫管理
    • 驾驶员性能分析
    • 其他应用
  • 按最终用户产业
    • 车队车主
    • 保险公司
    • OEM和服务供应商
    • 其他最终用户产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚洲
    • 澳洲/纽西兰
    • 拉丁美洲
    • 中东/非洲

第七章 竞争格局

  • 公司简介
    • SAP SE
    • CloudMade
    • Genetec Inc.
    • HARMAN International Industries Inc.（Samsung Electronics Co. Ltd）
    • IBM Corporation
    • Inquiron Ltd
    • Intelligent Mechatronic Systems Inc.
    • Microsoft Corporation
    • Teletrac Navman US Ltd

第八章投资分析

第9章市场的未来

简介目录
Product Code: 62352

The Vehicle Analytics Market is expected to register a CAGR of 24.3% during the forecast period.

Vehicle Analytics - Market - IMG1

With the rise of Big Data and the increasing need to make critical business decisions within a compressed timeframe, business intelligence, and analytics tools have gained a substantial market share in the past years. The growth in this industry is anticipated to be positive during the forecast period.

Key Highlights

  • Digitalization has become an essential driver of innovation in the vehicle industry. Cars account for at least 50 sensors designed to collect more detailed information, such as speed, emissions, distance, resource usage, driving behavior, and fuel consumption. The generated data gives the automotive industry stakeholders the required technological advancement to use for further analysis, create relation analysis, and enable better utilization of the metrics.
  • The predictive analytics applications enable the end users to evaluate prior patterns and driving behavior, deciding the likelihood of future possibilities. Apart from this, growth in the connected car industry is expected to provide significant challenges and opportunities to the automotive sector, including analytics. It has been a massive impetus for innovations.
  • Innovative business models can be generated by combining vehicle telematics data and analytic insights into customer and business data. As new and faster wireless network connectivity technology is evolving, such as Li-Fi and 5G, a rising opportunity lies in the advanced data-driven services, which is also appealing. The awareness of an intelligent solution for sustainable traffic and transport management has prompted the governments to provide the new technology enablers the financial benefits to fast pace the adoption and meet their strategic targets sooner.
  • Migration to the cloud is also expected to increase industry growth and provide new opportunities for innovation. However, concerns about online coverage and interoperability are expected to hamper industry expansion. Furthermore, the market is expected to be constrained due to the high initial cost of the technology and the high price of solutions limiting adoption in high-end cars.

Vehicle Analytics Market Trends

Predictive Maintenence is Expected to Hold Significant Market Share

  • As automakers are constantly assessing the performance of the vehicle part in real-time through sensors, it unlocks the opportunity for a predictive maintenance approach. Data can be pulled out from most vehicles of a given year and model, and that information can be compared with warranty repair trends using predictive maintenance. These trending issues are carefully observed and addressed, limiting the fallout from large-scale recalls, minimizing unnecessary wrench time, and potentially saving lives.
  • Moreover, vehicle breakdowns are one of the significant causes of road accidents. These breakdowns often occur due to human negligence in the timely service and maintenance of vehicles. Predictive analytics solutions inform the owner about the potential maintenance requirement before a study can occur. Data collected from the various sensors fitted in a car assists in carrying out predictive maintenance tasks.
  • Cognitive predictive maintenance makes holistic, real-time, and deep insights possible. Also, every aspect of a manufacturer's processes can be connected through IoT, leading to smart and efficient decision-making. According to Appinventiv, the global 5G Internet of Things (IoT) endpoint market is forecast to grow significantly in the connected car segment, from 0.4 million in 2020 to 19.1 million units in the current year. The 5G IoT installed base is forecast to grow to around 49 million this year.
  • The market is still an open place for any advanced predictive solutions. It is dominated by simplistic predictive maintenance solutions, which monitor the wear and usage of clutches and brake pads. A similar wear-out apparatus is monitored, and projections are made about the future.
  • Also, fleet managers are increasingly incorporating these solutions to stay on top of maintenance and mitigate equipment failure in advance. The adoption has been easier with the technological advancement in communications with capabilities, such as GPS tracking, emerging as a cost-efficient solution.
  • The market has growth potential as the demand for electric vehicles increases. In EV(s), voltage variations during charging can damage the battery. Predictive analytics integrated with artificial intelligence (AI) facilitates the feedback and monitoring system for batteries to avoid unnecessary damage that assists in extending the lifespan of batteries.

Europe is Expected Holds Significant Market Share

  • European countries leverage advanced technology to enhance road safety. According to ITU, 38% of traffic fatalities in Europe occur inside urban areas, emphasizing the need for stringent road safety implementations in Europe. The increasing adoption of self-driving cars and newer technologies on the road highlight the growing scope of vehicle analytics implementations. In July last year, according to an EU official involved in making the laws for fully self-driving cars in Europe, the EU's executive planned to propose the world's first technical legislation by the end of September, allowing member countries to approve the sales and registration of around 1,500 vehicles for every carmaker model for every year installed, with advanced self-driving technology.
  • The development of big data concepts has made it possible for automakers to store structured and semi-structured data in vehicles that can gather, store, analyze and compare the data on their own. This, thereby, helps to produce useful results and make decisions that drive the demand for vehicle analytics in this region.
  • Cloud deployment of vehicle analytics has been one of the key drivers of the market. Vehicle analytics has become immensely efficient in Europe, leveraging advanced computing features online and remotely accessing cloud software solutions. Automakers can now leverage these remotely accessible systems to analyze vehicle metrics, determine the vehicle's health, and contribute to road safety and advanced transportation technology development.
  • The companies collaborate to provide improved systems through cloud technologies, allowing automotive businesses to leverage the cloud in Europe, which is crucial for new businesses to try solutions like vehicle analytics. In November last year, NavInfo Europe, a prominent software service provider for the automotive industry, and Tencent Cloud jointly announced their partnership, meeting all the European regulatory requirements and standards, including GDPR.
  • Furthermore, in February last year, OCTO Telematics announced signing a new agreement with Ford Motor Company to extend its data streaming collaboration into Europe. This would build on the initial agreement signed in the North American market in July of the previous year. By leveraging Ford's connected vehicle data, OCTO would improve its market-proven telematics services in insurance and analytical services in the United Kingdom, Germany, Italy, France, and Spain.

Vehicle Analytics Industry Overview

The Vehicle Analytics market is highly fragmented, with major players like SAP SE, CloudMade, Genetec Inc., HARMAN International Industries Inc. (Samsung Electronics Co. Ltd), and IBM Corporation. Players in the market are adopting strategies such as partnerships, innovations, investments, and acquisitions to enhance their product offerings and gain sustainable competitive advantage. Their ability to continually innovate the products by investing heavily in R&D has allowed them to gain a competitive advantage over their competitors, enabling them to gain significant market share over others.

  • In October 2022, IBM announced the software's new version, 4.0. IoT connected vehicle insights private is connected vehicle software that aims to improve the in-car experience by extending cognitive computing capabilities to connected automobiles. Modern vehicles are mobile data centers equipped with onboard sensors and computers that can collect and retrieve vehicle data in near-real time. IoT-connected vehicle insights private allow the company to access, manage, and analyze large amounts of data from connected vehicles.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Force Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Adoption Of Vehicle Telematics
    • 5.1.2 Advancements in Technology, Such as Artificial Intelligence and Predictive Analytics Leading to Applications in Vehicle Management
  • 5.2 Market Restraints
    • 5.2.1 High Cost of Solutions Limiting Adoption in High End Cars

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 On-premise
    • 6.1.2 Cloud
  • 6.2 By Application
    • 6.2.1 Predictive Maintenence
    • 6.2.2 Safety and Security Management
    • 6.2.3 Driver Performance Analysis
    • 6.2.4 Other Applications
  • 6.3 By End-user Industry
    • 6.3.1 Fleet Owners
    • 6.3.2 Insurers
    • 6.3.3 OEMs and Service Providers
    • 6.3.4 Other End-user Industries
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia
    • 6.4.4 Australia and New Zealand
    • 6.4.5 Latin America
    • 6.4.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 SAP SE
    • 7.1.2 CloudMade
    • 7.1.3 Genetec Inc.
    • 7.1.4 HARMAN International Industries Inc. (Samsung Electronics Co. Ltd)
    • 7.1.5 IBM Corporation
    • 7.1.6 Inquiron Ltd
    • 7.1.7 Intelligent Mechatronic Systems Inc.
    • 7.1.8 Microsoft Corporation
    • 7.1.9 Teletrac Navman US Ltd

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET