全球卡車視訊遠端資訊處理市場，2025-2030 年

邊緣人工智慧、多視角企業解決方案和整合平台將推動視訊遠端資訊處理領域新一輪的變革性成長。

全球視訊遠端資訊處理市場正處於強勁成長期，這主要得益於車隊營運商從傳統車輛管理系統向先進的影像解決方案的轉型。對許多供應商而言，視訊遠端資訊處理已從輔助產品發展成為車隊營運商的核心收入來源。投資視訊遠端資訊處理安全解決方案帶來的實際收益和投資回報率，使得這項技術在保險理賠、駕駛員責任豁免、風險緩解和整體駕駛員安全等領域極具吸引力。商業車隊主導這股應用浪潮，大多數視訊安全解決方案供應商都報告指出，其企業收入淨額留存率和經常性年度經常性收入（ARR）成長率均表現良好。市場不再局限於大型企業客戶。視訊解決方案供應商現在為中小型車隊提供客製化套餐，顯著擴大了其目標市場。這項變革的核心是人工智慧驅動的技術。基於數十億英里駕駛資料訓練的先進機器視覺、機器學習和深度學習模型，不斷提高預測精度，實現對安全事件的近即時檢測、介入和回饋。視訊遠端資訊處理的未來取決於原始設備製造商（OEM）、遠端資訊處理服務供應商、視訊遠端資訊處理供應商和硬體技術公司如何在目前分散的生態系統中協同合作。透過策略夥伴關係實現整合以及收入模式的變革將決定下一階段的成長。可以肯定的是，人工智慧驅動的深度學習將成為決定視訊遠端資訊處理技術在實際應用中普及速度、擴充性和效率的關鍵所在。

報告摘要：卡車視訊遠端資訊處理市場

隨著越來越多的車隊營運商整合人工智慧驅動的駕駛員監控系統和即時影片分析技術，以提高安全性、合規性和營運效率，卡車視訊遠端資訊處理市場正經歷強勁成長。預計該市場規模將在2025年達到29億美元，並在2030年達到61億美元，年複合成長率（CAGR）為15.8%。

北美憑藉早期監管採納和互聯車隊的成熟，引領著全球視訊遠端資訊處理市場；而亞太地區預計將實現最快成長，這得益於物流業的擴張和政府主導的智慧運輸計畫。

主要市場趨勢：

• 人工智慧攝影機可將事故率降低高達 35%。
• 雙攝影機、雲端連接的視訊遠端資訊處理系統改變駕駛員行為的監控方式。
• 在「零願景」的指導下，歐洲在監管一體化方面發揮主導作用。
• 為了實現擴充性和成本效益，越來越多的車隊採用基於訂閱的視訊遠端資訊處理解決方案。

隨著世界物流網路的擴張，卡車視訊遠端資訊處理市場從基本的行車記錄器發展到先進的人工智慧驅動平台，這些平台提供主動安全措施、預測分析和完整的營運視覺性。

市場概覽：卡車視訊遠端資訊處理市場

人工智慧、物聯網和雲端車隊管理技術的整合推動視訊遠端資訊處理市場發生變革時期。視訊遠端資訊處理解決方案整合了攝影機、感測器和分析平台，能夠即時提供有關駕駛員表現、資產利用率和合規性的資訊。

Frost & Sullivan預測，到2030年，全球超過40%的商用車隊將安裝卡車視訊遠端資訊處理系統，反映出運輸營運正朝著以安全為中心、資料驅動的方向發生顯著轉變。監管要求、保險獎勵和數位化車隊現代化計劃進一步推動了該成長。

主要市場趨勢：

• AI增強型事件偵測：攝影機利用深度學習技術偵測疲勞駕駛、分心和不安全駕駛行為。
• 雲端整合車隊平台：一個集中式資料系統，整合了車輛追蹤、影像分析和維護資訊。
• 預測性安全分析：車隊可以利用機器學習來預測事故風險並最佳化駕駛員培訓。
• 保險與合規整合：保險公司正透過風險掛鉤保費模式推動映像基礎的監控。
• 訂閱和 SaaS 成長：靈活的影像遠端資訊處理服務模式可實現快速擴展和技術更新。

區域洞察：

• 北美：視訊遠端資訊處理市場最為成熟，這主要得益於合規性要求和大規模車隊應用。
• 歐洲：以高度重視安全法規和永續性目標為特點。
• 亞太地區：成長最快的區域市場，其成長主要得益於中國、印度和日本的大規模物流運作。
• 拉丁美洲：透過保險遠端資訊處理和車隊數位化舉措，採用率不斷提高。

隨著互聯出行生態系統的發展，卡車視訊遠端資訊處理市場正從利基車隊安全工具轉型為支援全球物流效率和道路安全成果的核心智慧平台。

分析範圍：卡車視訊遠端資訊處理市場

本研究分析了2025年至2030年全球卡車視訊遠端資訊處理市場，評估了關鍵促進因素、成長趨勢和技術進步。

符合條件的地區：

• 地區：北美、歐洲、亞太地區、拉丁美洲、中東和非洲
• 基準年：2025年 | 預測期間：2026-2030年

區隔：

• 依組件分類：硬體（攝影機、感測器）、軟體（人工智慧分析、雲端平台）、服務（安裝、SaaS支援）
• 應用領域：車隊管理、駕駛安全、保險風險、執法機關
• 依最終用戶分類：物流、建築、公共產業、公共

預測基於車隊數位化趨勢、監管動態以及人工智慧驅動的視訊遠端資訊處理系統在全球供應鏈中的應用。Frost & Sullivan的調查方法結合了對車隊營運商和原始設備製造商的訪談，並輔以關於互聯卡車解決方案和監管基準的二手研究。

收入預測：卡車視訊遠端資訊處理市場

全球視訊遠端資訊處理市場預計將從2025年的29億美元成長到2030年的61億美元，年複合成長率為 15.8%。

依組件分類：

• 硬體：16億美元至29億美元
• 軟體與分析：從 9億美元增加到 24億美元（年複合成長率 18.6%）
• 服務業：4億美元至8億美元

依地區：

• 北美：市場佔有率 38%；視訊遠端資訊處理的早期採用者。
• 歐洲：佔27%的佔有率；主要受安全和監管計劃的推動。
• 亞太地區：成長率最高（年複合成長率 17.2%），主要得益於物流數位化。

用途：

• 駕駛員安全：最大的細分市場（佔 45%）。
• 車隊生產力與分析：到2030年擴大到 30%。

卡車視訊遠端資訊處理市場受益於攝影機成本下降、保險相關獎勵以及全球範圍內對互聯車隊技術的採用，這些技術能夠更清晰地界定責任、減少事故並提高營運效率。

細分市場分析：卡車視訊遠端資訊處理市場

依組件分類：

• 硬體：多攝影機配置（雙攝影機和 360° 系統）主導提高情境察覺的發展方向。
• 軟體：先進的分析解決方案可實現駕駛員評分、即時事件分析和合規性追蹤。
• 服務：SaaS 和基於雲端的遠端資訊處理服務提高了擴充性並降低了 IT 複雜性。

用途：

• 駕駛員監控：提高安全KPI的核心應用案例。
• 車隊最佳化：人工智慧驅動的洞察有助於節省燃油和進行預測性維護。
• 保險與合規：影像證據可增強責任保護和索賠管理。

依最終用戶分類：

• 物流車隊：最大的應用領域。
• 建築和公共產業：對現場可視性和營運審核的需求日益成長。
• 公共和緊急車輛：整合遠端資訊處理和事件回應監控。

區域亮點：

• 北美：全球最成熟的卡車視訊遠端資訊處理市場。
• 歐洲：重點關注道路安全和合規制度。
• 亞太地區：貨運和物流領域的遠端資訊處理技術應用迅速擴展。

根據市場細分，車隊管理營運商越來越將視訊遠端資訊處理解決方案視為數位轉型和駕駛員績效最佳化的策略驅動力。

成長要素：卡車視訊遠端資訊處理市場

• 優先考慮車隊安全：越來越重視駕駛人責任和預防事故。
• 監管合規性：全球對 ELD（電子記錄設備）和遠端資訊處理資料收集的強制性要求。
• 人工智慧和機器視覺：增強事件偵測和預測行為分析。
• 保險獎勵：對實施檢驗的基於視訊的風險管理的車隊給予折扣。
• 資料驅動營運：透過整合遠端資訊處理和分析技術，最佳化路線和資產管理。

  這些促進因素使視訊遠端資訊處理市場穩固地成為現代車隊智慧和互聯物流運營的基礎。

成長抑制因素：卡車視訊遠端資訊處理市場

• 前期投入成本高：先進的人工智慧相機系統需要前期投資。
• 資料隱私與監管：遵守 GDPR 和 CCPA 變得越來越複雜。
• 整合挑戰：傳統車載資訊服務平台與現代車載資訊服務平台之間的相容性差距。
• 網路依賴性：限制遠端位置的即時串流播放。
• 駕駛人接受度：隱私問題導致對車載監控的抵制。

  儘管面臨這些挑戰，但隨著安全性和營運透明度的提高，卡車視訊遠端資訊處理市場獲得了切實的投資收益（ROI），市場仍在不斷擴張。

競爭格局：卡車視訊遠端資訊處理市場

視訊遠端資訊處理市場適度整合，以專注於安全創新和 SaaS 擴展的全球遠端資訊處理和人工智慧分析提供者為主導。

主要企業：

• Lytx, Inc.（美國） - 人工智慧驅動的駕駛員安全解決方案的全球領導者。
• Samsara（美國） - 提供整合的遠端資訊處理和視訊分析生態系統。
• Verizon Connect（美國）- 提供整合車隊管理和影像智慧。
• Trimble（美國）- 企業遠端資訊處理與車隊自動化。
• SmartDrive Systems（美國） - 一家專注於基於人工智慧的駕駛員事件偵測的公司。
• MiX Telematics（南非） - 擴大其在全球車隊視訊遠端資訊處理領域的業務。
• VisionTrack（英國） - 領導企業保險車隊的AI驅動型遠端資訊處理影像平台。

新興市場趨勢：

• 透過人工智慧技術的創新，提高了預測駕駛行為的準確性。
• 雲端的模組化車隊管理平台。
• 與ADAS和自動駕駛系統整合。
• 遠端資訊處理供應商與保險公司之間的策略聯盟。

卡車視訊遠端資訊處理市場發展成為一個端到端的車隊智慧生態系統，它整合了即時影像監控、人工智慧分析和預測性維護，加強了其在全球物流安全和性能最佳化方面的戰略作用。

目錄

戰略要務

• 為什麼經濟成長變得越來越困難？
• The Strategic Imperative 8
• 全球卡車視訊遠端資訊處理產業的三大戰略要務

成長環境

• 成長促進因素
• 成長限制因素
• 競爭環境
• 市場概覽
• 關鍵預測
• 市場演變
• 整合生態系夥伴：策略依據
• 生態系合作夥伴整合：主要企業概覽
• 市場藍圖
• 供應商基準化分析及觀看次數紀錄

議程

• 視訊遠端資訊處理領域主要企業概覽
• 提高對視訊安全措施重要性的認知

範圍和定義

• 調查範圍
• 經營模式類型
• 錄製視圖類型
• 視訊解決方案類型

視訊遠端資訊處理生態系統

• 生態系參與者的定義
• 生態系參與者的定位
• 全球夥伴關係概覽

視訊遠端資訊處理的關鍵趨勢

• 人工智慧驅動的智慧：案例研究- Lytx
• 整合式相機硬體：案例研究- Netradyne
• 人工智慧輔助相機：案例研究- Motive
• 混合邊緣雲端運算：案例研究- 技術趨勢
• 智慧壓縮：案例研究- LightMetrics
• 併購與聯盟：案例研究 - Samsara 和 Geotab

定價策略

• 包裝和定價
• 基於通路的定價分析
• 經營模式分析

全球道路安全法規與目標

• 區域展望：道路安全法規與連結性指數
• 國家視角：道路安全法規與目標

發展機會

• 已安裝基數預測情境分析
• 各區域的貢獻
• 依車輛細分市場分類的裝機量
• 依記錄方法細分已安裝單元
• 依車隊類型分類的已安裝基數細分
• 依硬體和服務分類的收入預測
• 主要生態系參與者的市場佔有率分析
• 市場佔有率分析

成長機會領域

• 成長機會1：差異化產品策略推動收入成長
• 成長機會2：推動產業融合與市場擴張的策略夥伴關係
• 成長機會3：透過人工智慧驅動的深度學習和巨量資料降低車隊總擁有成本（TCO）

附錄

• 簡稱和首字母縮略詞

下一步

• 成長機會帶來的益處和影響
• 下一步
• 附件清單
• 免責聲明

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