全球卡车视讯远端资讯处理市场，2025-2030 年

边缘人工智慧、多视角企业解决方案和整合平台将推动视讯远端资讯处理领域新一轮的变革性成长。

全球视讯远端资讯处理市场正处于强劲增长期，这主要得益于车队营运商从传统车辆管理系统向先进的影像解决方案的转型。对许多供应商而言，视讯远端资讯处理已从辅助产品发展成为车队营运商的核心收入来源。投资视讯远端资讯处理安全解决方案带来的实际收益和投资回报率，使得这项技术在保险理赔、驾驶员责任豁免、风险缓解和整体驾驶员安全等领域极具吸引力。商业车队主导这股应用浪潮，大多数视讯安全解决方案供应商都报告称，其企业收入净额留存率和经常性年度经常性收入 (ARR) 成长率均表现良好。市场不再局限于大型企业客户。视讯解决方案供应商现在为中小型车队提供客製化套餐，显着扩大了其目标市场。这项变革的核心是人工智慧驱动的技术。基于数十亿英里驾驶资料训练的先进机器视觉、机器学习和深度学习模型，不断提高预测精度，从而实现对安全事件的近实时检测、干预和反馈。视讯远端资讯处理的未来取决于原始设备製造商 (OEM)、远端资讯处理服务供应商、视讯远端资讯处理供应商和硬体技术公司如何在目前分散的生态系统中协同合作。透过策略伙伴关係实现整合以及收入模式的变革将决定下一阶段的成长。可以肯定的是，人工智慧驱动的深度学习将成为决定视讯远端资讯处理技术在实际应用中普及速度、扩充性和效率的关键所在。

报告摘要：卡车视讯远端资讯处理市场

随着越来越多的车队营运商整合人工智慧驱动的驾驶员监控系统和即时影片分析技术，以提高安全性、合规性和营运效率，卡车视讯远端资讯处理市场正经历强劲成长。预计该市场规模将在2025年达到29亿美元，并在2030年达到61亿美元，年复合成长率（CAGR）为15.8%。

北美凭藉早期监管采纳和互联车队的成熟，引领着全球视讯远端资讯处理市场；而亚太地区预计将实现最快成长，这得益于物流业的扩张和政府主导的智慧运输计画。

主要市场趋势：

• 人工智慧摄影机可将事故率降低高达 35%。
• 双摄影机、云端连接的视讯远端资讯处理系统正在改变驾驶员行为的监控方式。
• 在「零愿景」的指导下，欧洲在监管一体化方面发挥主导作用。
• 为了实现扩充性和成本效益，越来越多的车队正在采用基于订阅的视讯远端资讯处理解决方案。

随着世界物流网路的扩张，卡车视讯远端资讯处理市场正在从基本的行车记录器发展到先进的人工智慧驱动平台，这些平台提供主动安全措施、预测分析和完整的营运视觉性。

市场概览：卡车视讯远端资讯处理市场

人工智慧、物联网和云端车队管理技术的整合正在推动视讯远端资讯处理市场发生变革时期。视讯远端资讯处理解决方案整合了摄影机、感测器和分析平台，能够即时提供有关驾驶员表现、资产利用率和合规性的资讯。

Frost & Sullivan预测，到2030年，全球超过40%的商用车队将安装卡车视讯远端资讯处理系统，反映出运输营运正朝着以安全为中心、数据驱动的方向发生显着转变。监管要求、保险奖励和数位化车队现代化计划进一步推动了这一成长。

主要市场趋势：

• AI增强型事件侦测：摄影机利用深度学习技术侦测疲劳驾驶、分心和不安全驾驶行为。
• 云端整合车队平台：一个集中式资料系统，整合了车辆追踪、影像分析和维护资讯。
• 预测性安全分析：车队可以利用机器学习来预测事故风险并优化驾驶员培训。
• 保险与合规整合：保险公司正透过风险挂钩保费模式推动映像基础的监控。
• 订阅和 SaaS 成长：灵活的影像远端资讯处理服务模式可实现快速扩展和技术更新。

区域洞察：

• 北美：视讯远端资讯处理市场最为成熟，这主要得益于合规性要求和大规模车队应用。
• 欧洲：以高度重视安全法规和永续性目标为特点。
• 亚太地区：成长最快的区域市场，其成长主要得益于中国、印度和日本的大规模物流运作。
• 拉丁美洲：透过保险远端资讯处理和车队数位化倡议，采用率正在不断提高。

随着互联出行生态系统的发展，卡车视讯远端资讯处理市场正从利基车队安全工具转型为支援全球物流效率和道路安全成果的核心智慧平台。

分析范围：卡车视讯远端资讯处理市场

本研究分析了 2025 年至 2030 年全球卡车视讯远端资讯处理市场，评估了关键驱动因素、成长趋势和技术进步。

符合条件的地区：

• 地区：北美、欧洲、亚太地区、拉丁美洲、中东和非洲
• 基准年：2025年 | 预测期间：2026-2030年

分割：

• 依组件划分：硬体（摄影机、感测器）、软体（人工智慧分析、云端平台）、服务（安装、SaaS支援）
• 应用领域：车队管理、驾驶安全、保险风险、执法机关
• 按最终用户划分：物流、建筑、公共产业、公共

预测基于车队数位化趋势、监管动态以及人工智慧驱动的视讯远端资讯处理系统在全球供应链中的应用。Frost & Sullivan的调查方法结合了对车队营运商和原始设备製造商的访谈，并辅以关于互联卡车解决方案和监管基准的二手研究。

收入预测：卡车视讯远端资讯处理市场

全球视讯远端资讯处理市场预计将从 2025 年的 29 亿美元成长到 2030 年的 61 亿美元，复合年增长率为 15.8%。

按组件划分：

• 硬体：16亿美元至29亿美元
• 软体与分析：从 9 亿美元增加到 24 亿美元（年复合成长率 18.6%）
• 服务业：4亿美元至8亿美元

按地区划分：

• 北美：市占率 38%；视讯远端资讯处理的早期采用者。
• 欧洲：占27%的份额；主要受安全和监管计划的推动。
• 亚太地区：成长率最高（年复合成长率 17.2%），主要得益于物流数位化。

用途：

• 驾驶员安全：最大的细分市场（占 45%）。
• 车队生产力与分析：到 2030 年扩大到 30%。

卡车视讯远端资讯处理市场受益于摄影机成本下降、保险相关奖励以及全球范围内对互联车队技术的采用，这些技术能够更清晰地界定责任、减少事故并提高营运效率。

细分市场分析：卡车视讯远端资讯处理市场

按组件划分：

• 硬体：多摄影机配置（双摄影机和 360° 系统）正在主导提高情境察觉的发展方向。
• 软体：先进的分析解决方案可实现驾驶员评分、即时事件分析和合规性追踪。
• 服务：SaaS 和基于云端的远端资讯处理服务提高了扩充性并降低了 IT 复杂性。

用途：

• 驾驶员监控：提高安全KPI的核心应用案例。
• 车队优化：人工智慧驱动的洞察有助于节省燃油和进行预测性维护。
• 保险与合规：影像证据可增强责任保护和索赔管理。

按最终用户划分：

• 物流车队：最大的应用领域。
• 建筑和公共产业：对现场可视性和营运审核的需求日益增长。
• 公共和紧急车辆：整合远端资讯处理和事件回应监控。

区域亮点：

• 北美：全球最成熟的卡车视讯远端资讯处理市场。
• 欧洲：重点关注道路安全和合规制度。
• 亚太地区：货运和物流领域的远端资讯处理技术应用正在迅速扩展。

根据市场细分，车队管理营运商越来越将视讯远端资讯处理解决方案视为数位转型和驾驶员绩效优化的策略驱动力。

成长要素：卡车视讯远端资讯处理市场

• 优先考虑车队安全：越来越重视驾驶人责任和预防事故。
• 监管合规性：全球对 ELD（电子记录设备）和远端资讯处理资料收集的强制性要求。
• 人工智慧和机器视觉：增强事件侦测和预测行为分析。
• 保险奖励：对实施检验的基于视讯的风险管理的车队给予折扣。
• 数据驱动营运：透过整合远端资讯处理和分析技术，优化路线和资产管理。

  这些驱动因素使视讯远端资讯处理市场稳固地成为现代车队智慧和互联物流运营的基础。

成长抑制因素：卡车视讯远端资讯处理市场

• 前期投入成本高：先进的人工智慧相机系统需要前期投资。
• 资料隐私与监管：遵守 GDPR 和 CCPA 变得越来越复杂。
• 整合挑战：传统车载资讯服务平台与现代车载资讯服务平台之间的相容性差距。
• 网路依赖性：限制远端位置的即时串流播放。
• 驾驶人接受度：隐私问题导致对车载监控的抵制。

  儘管面临这些挑战，但随着安全性和营运透明度的提高，卡车视讯远端资讯处理市场获得了切实的投资收益(ROI)，市场仍在不断扩张。

竞争格局：卡车视讯远端资讯处理市场

视讯远端资讯处理市场正在适度整合，以专注于安全创新和 SaaS 扩展的全球远端资讯处理和人工智慧分析提供者为主导。

主要企业：

• Lytx, Inc.（美国）—人工智慧驱动的驾驶员安全解决方案的全球领导者。
• Samsara（美国）－提供整合的远端资讯处理和视讯分析生态系统。
• Verizon Connect（美国）- 提供整合车队管理和影像智慧。
• Trimble（美国）- 企业远端资讯处理与车队自动化。
• SmartDrive Systems（美国）—一家专注于基于人工智慧的驾驶员事件侦测的公司。
• MiX Telematics（南非）－扩大其在全球车队视讯远端资讯处理领域的业务。
• VisionTrack（英国）－领导企业保险车队的AI驱动型远端资讯处理影像平台。

新兴市场趋势：

• 透过人工智慧技术的创新，提高了预测驾驶行为的准确性。
• 基于云端的模组化车队管理平台。
• 与ADAS和自动驾驶系统整合。
• 远端资讯处理供应商与保险公司之间的策略联盟。

卡车视讯远端资讯处理市场正在发展成为一个端到端的车队智慧生态系统，它整合了即时影像监控、人工智慧分析和预测性维护，从而加强了其在全球物流安全和性能优化方面的战略作用。

目录

战略要务

• 为什么经济成长变得越来越困难？
• The Strategic Imperative 8
• 全球卡车视讯远端资讯处理产业的三大战略要务

成长环境

• 成长驱动因素
• 成长限制因素
• 竞争环境
• 市场概览
• 关键预测
• 市场演变
• 整合生态系伙伴：策略依据
• 生态系合作伙伴整合：主要企业概览
• 市场蓝图
• 供应商基准测试及观看次数纪录

议程

• 视讯远端资讯处理领域主要企业概览
• 提高对视讯安全措施重要性的认识

范围和定义

• 调查范围
• 经营模式类型
• 录製视图类型
• 视讯解决方案类型

视讯远端资讯处理生态系统

• 生态系参与者的定义
• 生态系参与者的定位
• 全球伙伴关係概览

视讯远端资讯处理的关键趋势

• 人工智慧驱动的智慧：案例研究- Lytx
• 整合式相机硬体：案例研究- Netradyne
• 人工智慧辅助相机：案例研究- Motive
• 混合边缘云端运算：案例研究- 技术趋势
• 智慧压缩：案例研究- LightMetrics
• 併购与联盟：案例研究－Samsara 和 Geotab

定价策略

• 包装和定价
• 基于通路的定价分析
• 经营模式分析

全球道路安全法规与目标

• 区域展望：道路安全法规与连结性指数
• 国家视角：道路安全法规与目标

发展机会

• 已安装基数预测情境分析
• 各区域的贡献
• 按车辆细分市场分類的装机量
• 依记录方法细分已安装单元
• 按车队类型分類的已安装基数细分
• 按硬体和服务分類的收入预测
• 主要生态系参与者的市占率分析
• 市占率分析

成长机会领域

• 成长机会 1：差异化产品策略推动收入成长
• 成长机会2：推动产业融合与市场扩张的策略伙伴关係
• 成长机会 3：透过人工智慧驱动的深度学习和巨量资料降低车队总拥有成本 (TCO)

附录

• 简称和首字母缩略词

下一步

• 成长机会带来的益处和影响
• 下一步
• 附件清单
• 免责声明

Edge AI, Multi-View Enterprise Solutions, and Integrated Platforms Unlocking a New Wave of Transformational Growth in Video Telematics

The global video telematics market is on a robust growth trajectory, driven by fleets upgrading from traditional fleet management systems to advanced video-enabled solutions. For many providers, video telematics has evolved from just being a peripheral product into a core revenue driver for fleet operators. The tangible benefits of investing in video telematics safety solutions, along with the return on investment, make this technology particularly compelling in areas such as insurance claims, driver exoneration, risk reduction, and overall driver safety. Enterprise fleets lead this adoption wave, with most video safety solution providers reporting favorable enterprise net revenue retention rates and high recurring ARR growth. The market is no longer limited to large enterprise customers. Video solution providers now offer curated packages for small and mid-sized fleets, expanding the addressable market considerably. AI-driven technologies are at the core of this transformation. Advanced machine vision, machine learning, and deep learning models, trained on billions of miles of driving data, continually refine their predictive accuracy, enabling near real-time detection, intervention, and feedback during safety events. The future of video telematics will be shaped by how OEMs, telematics service providers, video telematics providers, and hardware and technology players collaborate within the currently fragmented ecosystem. Consolidation through strategic partnerships and evolving revenue models will define the next growth phase. What remains certain is that AI-powered deep learning will be the cornerstone in determining how fast, scalable, and effective video telematics becomes in real-world applications.

Report Summary: Truck Video Telematics Market

The truck video telematics market is witnessing robust growth as fleet operators increasingly integrate AI-powered driver monitoring and real-time video analytics to enhance safety, compliance, and operational efficiency. The market was valued at USD 2.9 billion in 2025 and is projected to reach USD 6.1 billion by 2030, expanding at a CAGR of 15.8%.

North America dominates the global video telematics market, driven by early regulatory adoption and connected fleet maturity, while Asia-Pacific is expected to record the fastest growth, supported by logistics expansion and government-led smart mobility programs.

Key Market Insights:

• AI-enabled cameras reduce accident frequency by up to 35%.
• Dual-facing and cloud-connected video telematics systems are reshaping monitoring of driver behavior.
• Europe leads in regulatory integration under Vision Zero.
• Fleets increasingly adopt subscription-based video telematics solutions for scalability and cost efficiency.

As global logistics networks expand, the truck video telematics market is evolving from basic dashcams to advanced, AI-driven platforms that enable proactive safety, predictive analytics, and complete operational visibility.

Market Overview: Truck Video Telematics Market

The video telematics market is entering a transformative phase, powered by the convergence of AI, IoT, and cloud-based fleet management. Video telematics solutions integrate cameras, sensors, and analytics platforms to deliver real-time insights into driver performance, asset utilization, and compliance adherence.

Frost & Sullivan projects that by 2030, over 40% of global commercial fleets will deploy truck video telematics systems, reflecting a strong shift toward safety-focused, data-enabled transport operations. This growth is reinforced by regulatory mandates, insurance incentives, and digital fleet modernization programs.

Key Market Trends:

• AI-Enhanced Event Detection: Cameras use deep learning to detect fatigue, distraction, and unsafe maneuvers.
• Cloud-Integrated Fleet Platforms: Centralized data systems unify vehicle tracking, video analytics, and maintenance insights.
• Predictive Safety Analytics: Fleets leverage machine learning to forecast accident risk and optimize driver coaching.
• Insurance and Compliance Integration: Insurers promote video-based monitoring through risk-linked premium models.
• Subscription and SaaS Growth: Flexible video telematics service models enable faster scaling and technology updates.

Regional Insights:

• North America: Most mature video telematics market, driven by compliance mandates and large fleet penetration.
• Europe: Strong focus on safety regulations and sustainability targets.
• Asia-Pacific: Fastest-growing regional market; large logistics operations in China, India, and Japan drive adoption.
• Latin America: Emerging adoption via insurance telematics and fleet digitization initiatives.

As connected mobility ecosystems evolve, the truck video telematics market is transitioning from a niche fleet safety tool to a core intelligence platform underpinning global logistics efficiency and road safety outcomes.

Scope of Analysis: Truck Video Telematics Market

This study analyzes the global truck video telematics market from 2025 to 2030, assessing key drivers, growth trends, and technological advancements.

Geographic Coverage:

• Regions: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa
• Base Year: 2025 | Forecast Period: 2026-2030

Segmentation:

• By Component: Hardware (cameras, sensors), Software (AI analytics, cloud platforms), Services (installation, SaaS support)
• By Application: Fleet Management, Driver Safety, Insurance Risk, Law Enforcement
• By End User: Logistics, Construction, Utilities, Public Safety

Forecasts are based on fleet digitization trends, regulatory developments, and adoption of AI-driven video telematics systems across global supply chains. Frost & Sullivan's methodology integrates primary interviews with fleet operators and OEMs, supported by secondary research on connected truck solutions and regulatory benchmarks.

Revenue Forecast: Truck Video Telematics Market

The global video telematics market is projected to grow from USD 2.9 billion in 2025 to USD 6.1 billion by 2030, at a CAGR of 15.8%.

By Component:

• Hardware: USD 1.6B ? USD 2.9B
• Software & Analytics: USD 0.9B ? USD 2.4B (CAGR 18.6%)
• Services: USD 0.4B ? USD 0.8B

By Region:

• North America: 38% market share; early video telematics adoption.
• Europe: 27% share; driven by safety and regulatory programs.
• Asia-Pacific: Fastest growth (CAGR 17.2%) supported by logistics digitization.

By Application:

• Driver Safety: Largest segment (45% share).
• Fleet Productivity & Analytics: Rising to 30% by 2030.

The truck video telematics market is benefiting from falling camera costs, insurance-linked incentives, and global adoption of connected fleet technologies that improve accountability, reduce accidents, and boost operational efficiency.

Segmentation Analysis: Truck Video Telematics Market

By Component:

• Hardware: Multi-camera configurations (dual and 360° systems) dominate installations for enhanced situational awareness.
• Software: Advanced analytics solutions drive driver scoring, real-time event analysis, and compliance tracking.
• Services: SaaS and cloud-based telematics services improve scalability and reduce IT complexity.

By Application:

• Driver Monitoring: Core use case for improving safety KPIs.
• Fleet Optimization: AI-based insights support fuel savings and predictive maintenance.
• Insurance and Compliance: Video evidence strengthens liability protection and claim management.

By End User:

• Logistics Fleets: Largest adopter segment.
• Construction & Utilities: Growing use for on-site visibility and operational audits.
• Public and Emergency Fleets: Integration of telematics with incident response monitoring.

Regional Highlights:

• North America: Most mature truck video telematics market globally.
• Europe: Focused on road safety and compliance frameworks.
• Asia-Pacific: Expanding rapidly with telematics adoption across freight and logistics.

Segmentation indicates that fleets increasingly view video telematics solutions as a strategic enabler for digital transformation and driver performance optimization.

Growth Drivers: Truck Video Telematics Market

Fleet Safety Prioritization: Growing focus on driver accountability and accident prevention.

Regulatory Compliance: Global mandates for ELD and telematics data collection.

AI and Machine Vision: Enhanced event detection and predictive behavior analytics.

Insurance Incentives: Discounts for fleets using verified video-based risk management.

Data-Driven Operations: Integration of telematics and analytics for optimized route and asset management.

These drivers solidify the video telematics market as a cornerstone of modern fleet intelligence and connected logistics operations.

Growth Restraints: Truck Video Telematics Market

High Initial Costs: Advanced AI-camera systems require upfront investment.

Data Privacy & Regulation: Compliance with GDPR and CCPA adds complexity.

Integration Issues: Compatibility gaps between legacy and modern telematics platforms.

Network Dependence: Real-time streaming limitations in remote zones.

Driver Acceptance: Resistance to in-cab monitoring due to perceived privacy concerns.

Despite these challenges, the truck video telematics market continues to expand as fleets recognize tangible ROI through safety gains and operational transparency.

Competitive Landscape: Truck Video Telematics Market

The video telematics market is moderately consolidated, led by global telematics and AI analytics providers focused on safety innovation and SaaS expansion.

Key Companies:

• Lytx, Inc. (U.S.) - Global leader in AI-powered driver safety solutions.
• Samsara (U.S.) - Unified telematics and video analytics ecosystem.
• Verizon Connect (U.S.) - Integrated fleet management and video intelligence.
• Trimble (U.S.) - Enterprise telematics and fleet automation.
• SmartDrive Systems (U.S.) - Specializing in AI-based driver event detection.
• MiX Telematics (South Africa) - Expanding global footprint in fleet video telematics.
• VisionTrack (UK) - Leading AI-driven telematics video platform for insurance-linked fleets.

Emerging Market Trends:

• AI innovation enhancing driver behavior prediction.
• Cloud-based, modular fleet management platforms.
• Integration with ADAS and autonomous systems.
• Strategic partnerships between telematics vendors and insurers.

The truck video telematics market is evolving toward end-to-end fleet intelligence ecosystems that combine real-time video monitoring, AI analytics, and predictive maintenance, reinforcing its strategic role in global logistics safety and performance optimization.

Table of Contents

Strategic Imperatives

• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8
• The Impact of the Top 3 Strategic Imperatives on the Global Truck Video Telematics Industry

Growth Environment

• Growth Drivers
• Growth Restraints
• Competitive Environment
• Market Snapshot
• Key Predictions
• Market Evolution
• Ecosystem Partner Integrations: Strategic Rationale
• Ecosystem Partner Integrations: Player Overview
• Market Roadmap
• Vendor Benchmarking by Recording View

Agenda

• Overview of Key Players in Video Telematics
• Perceived Importance of Video Safety

Scope and Definitions

• Research Scope
• Types of Business Models
• Types of Recording Views
• Types of Video Solutions

Video Telematics Ecosystem

• Definition of Ecosystem Players
• Positioning of Ecosystem Players
• Global Overview of Partnerships

Key Trends in Video Telematics

• AI-Driven Intelligence: Case Study-Lytx
• Integrated Camera Hardware: Case Study-Netradyne
• AI-Integrated Auxiliary Camera: Case Study-Motive
• Hybrid Edge Cloud Computing: Case Study-Technology Trend
• Smart Compression: Case Study-LightMetrics
• Mergers and Partnerships: Case Study-Samsara and Geotab

Pricing Strategy

• Packaging and Pricing
• Pricing Analysis Based on Channels
• Business Model Analysis

Global Road Safety Regulations and Targets

• Regional Outlook: Road Safety Regulation and Connectivity Index
• Country Outlook: Road Safety Regulations and Targets

Growth Opportunity

• Installed Base Forecast Scenario Analysis
• Regional Contribution
• Installed Base by Vehicle Segment
• Installed Base Breakdown by Type of Recording View
• Installed Base Breakdown by Fleet Type
• Revenue Forecast by Hardware and Service
• Market Share Analysis-Key Ecosystem Players
• Market Share Analysis

Growth Opportunity Universe

• Growth Opportunity 1: Differentiated Product Strategy to Drive Revenue Growth
• Growth Opportunity 2: Strategic Partnerships to Foster Industry Convergence and Market Expansion
• Growth Opportunity 3: AI-Powered Deep Learning and Big Data to Drive Fleet TCO

Appendix

• Abbreviations and Acronyms

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer