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市场调查报告书
商品编码
1885918

远端车辆诊断市场机会、成长驱动因素、产业趋势分析及预测（2025-2034年）

Remote Vehicle Diagnostics Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 225 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球远端车辆诊断市场价值为 145 亿美元，预计到 2034 年将以 16.4% 的复合年增长率增长至 648 亿美元。

远端车辆诊断市场 - IMG1

随着互联汽车的日益普及以及汽车製造商对车辆正常运行时间和安全性的日益重视，远端诊断变得至关重要。监管机构的报告显示，超过30%的车辆召回与电子或软体问题有关，这凸显了即时监控和快速故障检测的必要性。车辆动力系统和电子系统日益复杂，进一步推动了对先进诊断硬体的需求。人工智慧平台和云端分析可以将遥测资料转化为可执行的洞察，从而实现预测性维护、及早发现潜在故障并最大限度地减少服务停机时间。这些解决方案使汽车製造商和车队营运商能够优化车间运营、规划主动维护并在整个生命週期内提升车辆性能和可靠性。随着汽车产业向服务导向模式转型，车队越来越多地利用託管诊断系统，该系统可以全天候监控车辆、整合远端服务指导并提供预测性维护建议，从而帮助降低营运成本并提高车辆可用性。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 145亿美元
预测值 648亿美元
复合年增长率 16.4%

2024年，硬体部分占据了64.7%的市场。此类别涵盖了OBD-II诊断设备、嵌入式远端资讯处理控制单元（TCU）和OEM网关，它们构成了远端车辆诊断的核心支柱。这些组件对于采集、传输和处理来自车辆引擎、变速箱、安全系统和电子模组的即时资料至关重要。现代动力系统、混合动力和电动车架构以及高级驾驶辅助系统（ADAS）日益复杂，推动了对可靠诊断硬体的更高需求。

受车载资讯服务技术普及、预测性维护需求以及先进的车载监控系统推动，预计2025年至2034年乘用车市场将以15.4%的复合年增长率成长。远端诊断技术能够持续监控引擎、变速箱、电池和安全系统，并透过空中升级和及时警报提升车辆可靠性和使用者体验。

预计到2024年，美国远距车辆诊断市场将占据82.2%的市场份额，市场规模将达到48.2亿美元。成长的主要驱动力是联网乘用车的普及、先进的远端资讯处理技术的应用以及相关法规的支持，这为OEM配套解决方案和售后市场解决方案都提供了巨大的机会。

全球远端车辆诊断市场的主要参与者包括通用汽车/安吉星 (GM/OnStar)、博世 (Bosch)、电装 (Denso)、Omnitracs、哈曼 (Harman)、采埃孚 (ZF)、大陆集团 (Continental)、Verizon Connect、法雷奥 (Valeo) 和 Geotab。各公司正透过投资人工智慧驱动的分析和云端平台来增强预测性维护能力，从而巩固其在远端车辆诊断市场的地位。他们正与原始设备製造商 (OEM) 和车队营运商建立策略联盟，以扩大解决方案部署并赢得长期合约。嵌入式诊断硬体、远端资讯处理单元和软体平台的持续创新提高了服务品质和可靠性。各公司也透过地理多元化、收购和合作来扩大业务范围，从而确保更快渗透市场。此外，整合空中下载更新、网路安全功能和即时故障侦测服务，可增强客户信任并建立持续的收入来源，同时减少车辆停机时间和维护成本。

目录

第一章：方法论

  • 市场范围和定义
  • 研究设计
    • 研究方法
    • 资料收集方法
  • 资料探勘来源
    • 全球的
    • 地区/国家
  • 基准估算和计算
    • 基准年计算
    • 市场估算的关键趋势
  • 初步研究和验证
    • 原始资料
  • 预报
  • 研究假设和局限性

第二章：执行概要

第三章：行业洞察

  • 产业生态系分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的价值增加
    • 影响价值链的因素
    • 中断
  • 产业影响因素
    • 成长驱动因素
      • 嵌入式车载资讯系统与OEM诊断闸道的整合度日益提高
      • 车队预测性维护的成长
      • 扩展支援 4G/5G 的连网汽车基础设施
    • 产业陷阱与挑战
      • OEM系统、ECU和远端资讯处理协定之间的高度整合复杂性
      • 资料隐私和网路安全漏洞方面的担忧
    • 市场机会
      • 商业车队预测分析技术的日益普及
      • 新兴市场互联汽车渗透率成长
  • 成长潜力分析
  • 监管环境
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 波特的分析
  • PESTEL分析
  • 技术与创新格局
    • 当前技术趋势
    • 新兴技术
  • 价格趋势
    • 按地区
    • 副产品
  • 成本細項分析
  • 专利分析
  • 永续性和环境方面
    • 碳足迹评估
    • 循环经济一体化
    • 电子垃圾管理要求
    • 绿色製造倡议
  • 互通性和标准格局
    • 诊断协定标准化（UDS、OBD-II、 OEM特定）
    • 连线互通性（4G、5G、C-V2X、Wi-Fi/蓝牙）
    • 资料格式统一（API、云端到云端介面）
  • 客户行为与采纳模式
    • 消费者对车辆资料共享的接受度
    • 车队营运商的采用趋势
    • 从被动维修转向预测性维护
  • 生态系协作分析
    • OEM一级合作伙伴关係
    • 电信-车载资讯服务合作
    • 云端平台整合（AWS、Azure、Google）
  • 风险与情境分析
    • 经济放缓影响情景
    • 连线中断场景
    • 监理收紧情景
  • 原始设备製造商的数位转型路线图
    • 从硬体诊断向软体定义车辆的过渡
    • OEM诊断平台的云端迁移策略
    • 人工智慧/机器学习在预测诊断中的整合路线图

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 关键进展
    • 併购
    • 合作伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金

第五章：市场估算与预测：依产品类型划分，2021-2034年

  • 主要趋势
  • 硬体
    • OBD-II诊断设备（售后市场）
    • 嵌入式远端资讯处理控制单元（TCU）
    • OEM诊断闸道/ECU
  • 软体
    • 诊断软体（DTC，故障码分析）
    • 预测性维护和分析平台
    • 车辆健康监测平台
  • 服务
    • 远端诊断服务
    • 预测性维护服务
    • 车队监控与咨询服务

第六章：市场估价与预测：依车辆类型划分，2021-2034年

  • 主要趋势
  • 搭乘用车
    • 掀背车
    • 轿车
    • SUV
  • 商用车辆
    • 轻型商用车（LCV）
    • 中型商用车（MCV）
    • 重型商用车（HCV）

第七章：市场估算与预测：以连结方式划分，2021-2034年

  • 主要趋势
  • 蜂窝网路（4G/LTE/5G）
  • 短距离（Wi-Fi/蓝牙）
  • 卫星

第八章：市场估算与预测：依应用领域划分，2021-2034年

  • 主要趋势
  • 故障和错误代码诊断（基于DTC）
  • 预测性/预防性维护
  • 车辆健康监测
  • 路边援助和远端支持
  • 其他的

第九章：市场估算与预测：依最终用途划分，2021-2034年

  • 主要趋势
  • OEM
  • 售后市场

第十章：市场估计与预测：依地区划分，2021-2034年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 北欧
    • 俄罗斯
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 新加坡
    • 马来西亚
    • 泰国
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第十一章：公司简介

  • Global Leaders
    • Bosch
    • Continental
    • Denso
    • Delphi Technologies
    • Geotab
    • Harman
    • Valeo
    • Verizon Connect
    • ZF
    • GM/OnStar
    • Omnitracs
  • 区域玩家
    • Actia
    • Fleet Complete
    • KPIT Technologies
    • Magneti Marelli
    • Microlise
    • Octo Telematics
    • Orion Fleet Services
    • Trakm8
  • 新兴参与者
    • Autocrypt
    • Caruso Data Marketplace
    • Fixico
    • Mojio
    • Otonomo
    • Sibros
    • Tantalum
    • UBI Solutions
简介目录
Product Code: 10640

The Global Remote Vehicle Diagnostics Market was valued at USD 14.5 billion in 2024 and is estimated to grow at a CAGR of 16.4% to reach USD 64.8 billion by 2034.

Remote Vehicle Diagnostics Market - IMG1

With the increasing adoption of connected vehicles and OEMs prioritizing vehicle uptime and safety, remote diagnostics are becoming essential. Reports from regulatory authorities indicate that over 30 percent of vehicle recalls are linked to electronic or software issues, underlining the need for real-time monitoring and rapid fault detection. The growing complexity of vehicle powertrains and electronic systems is further fueling demand for advanced diagnostic hardware. AI-powered platforms and cloud-based analytics convert telemetry data into actionable insights, enabling predictive maintenance, early detection of potential failures, and minimized service downtime. These solutions allow OEMs and fleet operators to optimize workshop operations, plan proactive maintenance, and enhance vehicle performance and reliability throughout the lifecycle. As the automotive industry moves toward service-oriented models, fleets are increasingly leveraging managed diagnostics that monitor vehicles around the clock, integrate remote service guidance, and provide predictive maintenance recommendations, helping reduce operational costs and improve vehicle availability.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$14.5 Billion
Forecast Value$64.8 Billion
CAGR16.4%

The hardware segment held a 64.7% share of the market in 2024. This category encompasses OBD-II diagnostic devices, embedded telematics control units (TCUs), and OEM gateways, which form the essential backbone of remote vehicle diagnostics. These components are critical for collecting, transmitting, and processing real-time data from a vehicle's engine, transmission, safety systems, and electronic modules. The increasing complexity of modern powertrains, hybrid and electric vehicle architectures, and advanced driver-assistance systems (ADAS) has driven higher demand for reliable diagnostic hardware.

The passenger vehicles segment is expected to grow at a CAGR of 15.4% from 2025 to 2034, driven by telematics adoption, predictive maintenance demand, and sophisticated onboard monitoring. Remote diagnostics enable continuous monitoring of engine, transmission, battery, and safety systems, improving reliability and user experience through over-the-air updates and timely alerts.

U.S. Remote Vehicle Diagnostics Market accounted for 82.2% share in 2024, generating USD 4.82 billion. Growth is driven by widespread connected passenger vehicles, advanced telematics adoption, and supportive regulations, providing significant opportunities for both OEM-installed and aftermarket solutions.

Major players in the Global Remote Vehicle Diagnostics Market include GM/OnStar, Bosch, Denso, Omnitracs, Harman, ZF, Continental, Verizon Connect, Valeo, and Geotab. Companies are strengthening their Remote Vehicle Diagnostics Market position by investing in AI-driven analytics and cloud platforms to enhance predictive maintenance capabilities. They are forming strategic alliances with OEMs and fleet operators to expand solution deployment and capture long-term contracts. Continuous innovation in embedded diagnostic hardware, telematics units, and software platforms improves service quality and reliability. Firms are also expanding their presence through geographic diversification, acquisitions, and partnerships, ensuring faster market penetration. Additionally, integrating over-the-air updates, cybersecurity features, and real-time fault detection services enhances customer trust and establishes recurring revenue streams while reducing vehicle downtime and maintenance costs.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Offering
    • 2.2.3 Vehicle
    • 2.2.4 Connectivity
    • 2.2.5 Application
    • 2.2.6 End Use
  • 2.3 TAM Analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising integration of embedded telematics & OEM diagnostic gateways
      • 3.2.1.2 Growth of predictive maintenance in fleets
      • 3.2.1.3 Expansion of 4G/5G-enabled connected car infrastructure
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High integration complexity across OEM systems, ECUs, and telematics protocols
      • 3.2.2.2 Concerns around data privacy & cybersecurity vulnerabilities
    • 3.2.3 Market opportunities
      • 3.2.3.1 Rising adoption of predictive analytics for commercial fleets
      • 3.2.3.2 Growth in connected car penetration across emerging markets
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
    • 3.4.2 Europe
    • 3.4.3 Asia Pacific
    • 3.4.4 Latin America
    • 3.4.5 Middle East & Africa
  • 3.5 Porter's analysis
  • 3.6 Pestel analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Price trends
    • 3.8.1 By region
    • 3.8.2 By product
  • 3.9 Cost breakdown analysis
  • 3.10 Patent analysis
  • 3.11 Sustainability & environmental aspects
    • 3.11.1 Carbon footprint assessment
    • 3.11.2 Circular economy integration
    • 3.11.3 E-waste management requirements
    • 3.11.4 Green manufacturing initiatives
  • 3.12 Interoperability & standards landscape
    • 3.12.1 Standardization of diagnostic protocols (UDS, OBD-II, OEM-specific)
    • 3.12.2. Connectivity interoperability (4G, 5G, C-V2X, Wi-Fi/Bluetooth)
    • 3.12.3 Data format harmonization (API, cloud-to-cloud interfaces)
  • 3.13 Customer Behavior & Adoption Patterns
    • 3.13.1 Consumer acceptance of vehicle data sharing
    • 3.13.2 Adoption trends among fleet operators
    • 3.13.3 Shift from reactive repairs to predictive maintenance
  • 3.14 Ecosystem Collaboration Analysis
    • 3.14.1 OEM-Tier 1 partnerships
    • 3.14.2 Telecom-telematics service collaborations
    • 3.14.3 Cloud platform integrations (AWS, Azure, Google)
  • 3.15 Risk & Scenario Analysis
    • 3.15.1 Economic slowdown impact scenarios
    • 3.15.2 Connectivity disruption scenarios
    • 3.15.3 Regulatory tightening scenarios
  • 3.16 Digital Transformation Roadmap for OEMs
    • 3.16.1 Transition from hardware diagnostics to software-defined vehicles
    • 3.16.2 Cloud migration strategies for OEM diagnostic platforms
    • 3.16.3 AI/ML integration roadmap for predictive diagnostics

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New product launches
    • 4.6.4 Expansion plans and funding

Chapter 5 Market Estimates & Forecast, By Offering, 2021 - 2034 ($Mn, Units)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 OBD-II diagnostic devices (aftermarket)
    • 5.2.2 Embedded telematics control units (TCUs)
    • 5.2.3 OEM diagnostic gateways / ECUs
  • 5.3 Software
    • 5.3.1 Diagnostic software (DTC, fault-code analytics)
    • 5.3.2 Predictive maintenance & analytics platforms
    • 5.3.3 Vehicle health monitoring platforms
  • 5.4 Services
    • 5.4.1 Remote diagnostic services
    • 5.4.2 Predictive maintenance services
    • 5.4.3 Fleet monitoring & advisory services

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Mn, Units)

  • 6.1 Key trends
  • 6.2 Passenger Cars
    • 6.2.1 Hatchback
    • 6.2.2 Sedan
    • 6.2.3 SUV
  • 6.3 Commercial vehicles
    • 6.3.1 Light commercial vehicles (LCV)
    • 6.3.2 Medium commercial vehicles (MCV)
    • 6.3.3 Heavy commercial vehicles (HCV)

Chapter 7 Market Estimates & Forecast, By Connectivity, 2021 - 2034 ($Mn, Units)

  • 7.1 Key trends
  • 7.2 Cellular (4G / LTE / 5G)
  • 7.3 Short-range (Wi-Fi / Bluetooth)
  • 7.4 Satellite

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn, Units)

  • 8.1 Key trends
  • 8.2 Fault & error code diagnostics (DTC-based)
  • 8.3 Predictive / preventive maintenance
  • 8.4 Vehicle health monitoring
  • 8.5 Roadside assistance & remote support
  • 8.6 Others

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Mn, Units)

  • 9.1 Key trends
  • 9.2 OEM
  • 9.3 Aftermarket

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Nordics
    • 10.3.7 Russia
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Singapore
    • 10.4.7 Malaysia
    • 10.4.8 Thailand
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE

Chapter 11 Company Profiles

  • 11.1 Global Leaders
    • 11.1.1 Bosch
    • 11.1.2 Continental
    • 11.1.3 Denso
    • 11.1.4 Delphi Technologies
    • 11.1.5 Geotab
    • 11.1.6 Harman
    • 11.1.7 Valeo
    • 11.1.8 Verizon Connect
    • 11.1.9 ZF
    • 11.1.10 GM/OnStar
    • 11.1.11 Omnitracs
  • 11.2 Regional Players
    • 11.2.1 Actia
    • 11.2.2 Fleet Complete
    • 11.2.3 KPIT Technologies
    • 11.2.4 Magneti Marelli
    • 11.2.5 Microlise
    • 11.2.6 Octo Telematics
    • 11.2.7 Orion Fleet Services
    • 11.2.8 Trakm8
  • 11.3 Emerging Players
    • 11.3.1 Autocrypt
    • 11.3.2 Caruso Data Marketplace
    • 11.3.3 Fixico
    • 11.3.4 Mojio
    • 11.3.5 Otonomo
    • 11.3.6 Sibros
    • 11.3.7 Tantalum
    • 11.3.8 UBI Solutions