封面
市場調查報告書
商品編碼
1876795

互聯卡車市場機會、成長促進因素、產業趨勢分析及預測(2025-2034年)

Connected Trucks Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 280 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2024 年全球連網卡車市場價值為 348 億美元,預計到 2034 年將以 15.7% 的複合年成長率成長至 1,495 億美元。

互聯卡車市場 - IMG1

對互聯卡車技術日益成長的需求正在重塑全球物流和長途運輸網路。先進的遠端資訊處理、預測性車隊分析和車內互聯技術正在改變營運商監控路線、預測交付時間、最佳化裝載以及最大限度減少空駛或怠速行駛的方式。數位孿生模擬技術使車隊管理人員和原始設備製造商 (OEM) 能夠以虛擬方式測試營運模式,從而降低成本、提高安全性並提升交付可靠性。隨著產業向電動和低排放車隊轉型,互聯卡車平台正被用於管理能源分配、安排充電和最佳化續航里程效率。智慧充電和車網通訊系統的整合確保了能源使用的平衡並降低了電網壓力。此外,在混合車隊營運中,互聯系統能夠實現動態負載平衡和路線最佳化,從而延長電池壽命。諸如自動煞車、車道維持和卡車編隊行駛等高級駕駛輔助技術的快速整合進一步凸顯了可靠、低延遲連接的重要性。 OEM 和車隊營運商正增加對感測器融合和雲端分析的投資,以將即時資料轉化為可操作的安全性和合規性洞察。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 348億美元
預測值 1495億美元
複合年成長率 15.7%

2024年,硬體部分佔據44%的市場佔有率,預計到2034年將以13.9%的複合年成長率成長。硬體繼續引領市場,因為它構成了實現連接、通訊和遠端資訊處理整合的基礎框架。包括遠端資訊處理控制單元(TCU)、GPS/GNSS設備、感測器和無線通訊模組在內的關鍵組件,是收集和傳輸即時運行資料的基礎。這些系統支援車輛、雲端平台和車隊管理網路之間的無縫交互,構成了驅動數位化交通生態系統的實體層。

專用短程通訊 (DSRC) 市場在 2024 年佔據了 68% 的市場佔有率,預計 2025 年至 2034 年將以 15.1% 的複合年成長率成長。 DSRC 技術憑藉其強大的性能和低延遲,仍然是連網卡車的首選通訊方式,這對於即時車對車 (V2V) 和車對基礎設施 (V2I) 通訊至關重要。這使得碰撞偵測、車道變更警報和緊急應變系統等增強安全性的應用能夠實現即時資料交換。其久經考驗的可靠性和符合監管要求的特性,也持續推動 DSRC 技術在現代卡車運輸營運中的應用。

美國互聯卡車市場佔85%的市場佔有率,預計2024年市場規模將達123億美元。美國市場受益於先進互聯系統的早期應用、廣泛的遠端資訊處理基礎設施以及全球卡車製造商的積極參與。原始設備製造商(OEM)已整合工廠預裝的數位互聯平台,支援即時監控、遠端診斷和效能最佳化,從而推動了市場快速滲透。此外,對車隊效率日益成長的需求、日益嚴格的安全法規以及主要遠端資訊處理服務提供者的存在,都在加速區域車隊的技術部署。

全球互聯卡車市場的主要參與者包括Trimble、Continental、戴姆勒卡車、比亞迪、塔塔汽車、PACCAR、MAN商用車、斯堪尼亞、Geotab和沃爾沃。這些領導企業正在實施多項策略以鞏固其市場地位。許多企業致力於開發先進的互聯生態系統,將硬體、軟體和遠端資訊處理技術結合,以提供整合的車隊智慧。他們正積極尋求與物流供應商和原始設備製造商(OEM)進行策略合作,以拓展產品組合併確保大規模部署。此外,各企業在人工智慧和數據驅動分析領域投入巨資,以提升預測性維護、駕駛員安全和能源最佳化水準。

目錄

第1章:方法論

  • 市場範圍和定義
  • 研究設計
    • 研究方法
    • 資料收集方法
  • 資料探勘來源
    • 全球的
    • 地區/國家
  • 基準估算和計算
    • 基準年計算
    • 市場估算的關鍵趨勢
  • 初步研究和驗證
    • 原始資料
  • 預測模型
  • 研究假設和局限性

第2章:執行概要

第3章:行業洞察

  • 產業生態系分析
    • 供應商格局
    • 利潤率分析
    • 成本結構
    • 每個階段的價值增加
    • 影響價值鏈的因素
    • 中斷
  • 產業影響因素
    • 成長促進因素
      • 車隊管理效率的需求日益成長
      • 5G與物聯網技術的融合
      • 政府關於安全和排放的法規
      • 基於雲端的遠端資訊處理平台日益普及
      • 對預測性維護的需求日益成長
    • 產業陷阱與挑戰
      • 較高的初始實施和維護成本
      • 對資料安全和隱私的擔憂
    • 市場機遇
      • 自動駕駛和半自動駕駛卡車的擴張
      • 邊緣運算在即時分析中的興起
      • 提高商用車的電氣化程度
      • 新興市場採用率不斷上升
  • 成長潛力分析
  • 監管環境
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 波特的分析
  • PESTEL 分析
  • 技術與創新格局
    • 當前技術趨勢
    • 新興技術
  • 專利分析
  • 價格趨勢
    • 按地區
    • 依產品
  • 生產統計
    • 生產中心
    • 消費中心
    • 進出口
  • 成本細分分析
  • 永續性和環境影響分析
    • 生命週期評估與環境建模
    • 永續設計與最佳化
    • 環境合規與報告
    • 綠色科技與創新
  • 商業案例及投資報酬率分析
    • 總擁有成本框架
    • 投資報酬率計算方法
    • 實施時間表和里程碑
    • 風險評估與緩解策略
  • 績效基準化分析與關鍵績效指標
    • 營運效率指標
    • 安全與合規指標
    • 財務績效基準
    • 駕駛員績效評分系統
  • 業界標準與協議
    • SAE J1939 通訊標準
    • TMC推薦做法
    • 互通性和資料交換協議
    • 網路安全和功能安全標準
  • 實施最佳實踐
    • 部署策略與方法
    • 變革管理與駕駛員培訓
    • 數據整合和分析設置
    • 維護與支援最佳化
  • 供應商選擇與評估框架
    • 技術評價標準
    • 整合能力評估
    • 可擴展性和麵向未來的考量
    • 支援和服務等級要求
  • 未來展望與技術路線圖
    • 技術演進時間軸
    • 自動駕駛卡車整合
    • 電動卡車互聯
    • 數據貨幣化策略
    • 監理演變的影響

第4章:競爭格局

  • 介紹
  • 公司市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • MEA
  • 主要市場參與者的競爭分析
  • 競爭定位矩陣
  • 戰略展望矩陣
  • 關鍵進展
    • 併購
    • 合作夥伴關係與合作
    • 新產品發布
    • 擴張計劃和資金

第5章:市場估算與預測:依組件分類,2021-2034年

  • 主要趨勢
  • 硬體
    • 車載資訊控制單元(TCUS)
    • 車載診斷(OBD)設備
    • 通訊模組(蜂窩網路、Wi-Fi、藍牙)
    • 感測器和資料採集設備
    • GPS/GNSS定位系統
    • 其他
  • 軟體
    • 車隊管理軟體平台
    • 行動應用程式和驅動程式介面
    • 分析與商業智慧工具
    • 整合和 API 管理軟體
    • 網路安全與資料保護軟體
    • 其他
  • 服務
    • 安裝與整合服務
    • 數據分析與諮詢服務
    • 維護和技術支援
    • 培訓與變革管理服務
    • 託管服務和外包
    • 其他

第6章:市場估算與預測:以連結方式分類,2021-2034年

  • 主要趨勢
  • 車路通訊(V2I)
    • 交通號誌一體化
    • 智慧公路系統
    • 收費和支付系統
    • 稱重站通訊
    • 停車及裝卸區管理
  • 車聯網(V2C)通訊
    • 車隊管理平台
    • 遠端診斷與監控
    • 無線更新和配置
    • 數據分析與商業智慧
    • 監理合規報告
  • 車對車(V2V)通訊
    • 排隊和車隊行動
    • 防碰撞系統
    • 交通流量最佳化
    • 緊急車輛通訊
    • 協同自適應巡航控制
  • 其他

第7章:市場估算與預測:依區間分類,2021-2034年

  • 主要趨勢
  • 專用短程通訊(DSRC)
  • 遠端

第8章:市場估算與預測:依車輛類型分類,2021-2034年

  • 主要趨勢
  • 輕型商用車(LCV)
    • 1-2類車輛
    • 皮卡車和貨車
    • 小型送貨車輛
    • 服務和多用途車輛
    • 城市最後一公里應用
  • 中型商用車(MCV)
    • 3-5級車輛
    • 廂型車和小型貨車
    • 餐飲服務車、飲料車
    • 公用事業和市政車輛
    • 區域分銷應用
    • 冷藏運送(冷藏)單元
  • 重型商用車輛(HCV)
    • 6-8級車輛
    • 長途牽引車與拖車
    • 重型卡車和拖車
    • 工程和專用車輛
    • 專用重型設備

第9章:市場估計與預測:依應用領域分類,2021-2034年

  • 主要趨勢
  • 車隊管理
  • 安全與合規
  • 遠端診斷和維護
  • 資訊娛樂與互聯
  • 其他

第10章:市場估價與預測:依銷售管道分類,2021-2034年

  • 主要趨勢
  • 原始設備製造商
  • 售後市場

第11章:市場估計與預測:按地區分類,2021-2034年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 菲律賓
    • 印尼
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第12章:公司簡介

  • 全球參與者
    • BYD Company
    • Daimler Truck
    • Iveco
    • MAN Truck & Bus
    • Navistar International
    • PACCAR
    • Scania
    • Tata Motors
    • Tesla
    • Volvo
  • Telematics Providers
    • Fleet Complete
    • Geotab
    • MiX Telematics
    • Omnitracs
    • Platform Science
    • Samsara Networks
    • Teletrac Navman
    • Trimble
    • Verizon Connect
    • Zonar Systems
  • ADAS & Component Suppliers
    • Aptiv
    • Autoliv
    • Continental
    • DENSO
    • Knorr-Bremse
    • Magna International
    • Mobileye
    • Robert Bosch
    • Valeo
    • ZF Friedrichshafen
  • Connectivity & Hardware
    • HARMAN International
    • Murata Manufacturing
    • NXP Semiconductors
    • Qualcomm Technologies
    • Sierra Wireless
    • TE Connectivity
簡介目錄
Product Code: 3458

The Global Connected Trucks Market was valued at USD 34.8 billion in 2024 and is estimated to grow at a CAGR of 15.7% to reach USD 149.5 billion by 2034.

Connected Trucks Market - IMG1

The growing demand for connected truck technologies is reshaping logistics and long-haul transportation networks worldwide. Advanced telematics, predictive fleet analytics, and in-cabin connectivity are transforming the way operators monitor routes, forecast delivery times, optimize loads, and minimize idle or empty trips. The use of digital-twin simulations enables fleet managers and OEMs to test operational models virtually, leading to cost reduction, enhanced safety, and improved delivery reliability. As the industry transitions toward electric and low-emission fleets, connected truck platforms are being utilized to manage energy distribution, schedule charging, and optimize range efficiency. Integration of smart charging and vehicle-to-grid communication systems ensures balanced energy usage and reduced grid strain. Furthermore, in mixed fleet operations, connected systems enable dynamic load balancing and route optimization to preserve battery life. The rapid integration of advanced driver assistance technologies such as automated braking, lane keeping, and truck platooning further underscores the importance of reliable, low-latency connectivity. OEMs and fleet operators are increasingly investing in sensor fusion and cloud analytics to turn real-time data into actionable safety and compliance insights.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$34.8 Billion
Forecast Value$149.5 Billion
CAGR15.7%

The hardware segment held a 44% share in 2024 and is projected to grow at a CAGR of 13.9% through 2034. Hardware continues to lead the market as it forms the essential framework that enables connectivity, communication, and telematics integration. Key components, including telematics control units (TCUs), GPS/GNSS devices, sensors, and wireless communication modules, serve as the backbone for collecting and transmitting real-time operational data. These systems support seamless interaction between vehicles, cloud platforms, and fleet management networks, forming the physical layer that powers digital transport ecosystems.

The dedicated short-range communication (DSRC) segment accounted for a 68% share in 2024 and is projected to grow at a CAGR of 15.1% from 2025 to 2034. DSRC technology remains the preferred communication method for connected trucks due to its robust performance and low latency, which are crucial for real-time vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. This enables instantaneous data exchange for applications that enhance safety, such as collision detection, lane-changing alerts, and emergency response systems. Its proven reliability and regulatory alignment continue to strengthen its adoption in modern trucking operations.

United States Connected Trucks Market held an 85% share, generating USD 12.3 billion in 2024. The U.S. market benefits from early adoption of advanced connectivity systems, extensive telematics infrastructure, and strong participation from global truck manufacturers. OEMs have integrated factory-installed digital connectivity platforms that support real-time monitoring, remote diagnostics, and performance optimization, driving rapid market penetration. Additionally, growing demand for fleet efficiency, stringent safety regulations, and the presence of major telematics providers are accelerating technology deployment across regional fleets.

Key companies operating in the Global Connected Trucks Market include Trimble, Continental, Daimler Truck, BYD Company, Tata Motors, PACCAR, MAN Truck & Bus, Scania, Geotab, and Volvo. Leading players in the Connected Trucks Market are implementing multiple strategies to strengthen their market presence. Many are focusing on developing advanced connectivity ecosystems combining hardware, software, and telematics to deliver integrated fleet intelligence. Strategic collaborations with logistics providers and OEMs are being pursued to expand product portfolios and ensure large-scale deployment. Companies are also investing heavily in AI and data-driven analytics to enhance predictive maintenance, driver safety, and energy optimization.

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 model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Technology
    • 2.2.4 Range
    • 2.2.5 Vehicle
    • 2.2.6 Application
    • 2.2.7 Sales Channel
  • 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 demand for fleet management efficiency
      • 3.2.1.2 Integration of 5G and IoT technologies
      • 3.2.1.3 Government regulations on safety and emissions
      • 3.2.1.4 Increasing adoption of cloud-based telematics platforms
      • 3.2.1.5 Growing demand for predictive maintenance
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High initial implementation and maintenance costs
      • 3.2.2.2 Concerns over data security and privacy
    • 3.2.3 Market opportunities
      • 3.2.3.1 Expansion of autonomous and semi-autonomous trucks
      • 3.2.3.2 Emergence of edge computing for real-time analytics
      • 3.2.3.3 Increasing electrification of commercial vehicles
      • 3.2.3.4 Rising adoption in 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 Patent analysis
  • 3.9 Price trends
    • 3.9.1 By region
    • 3.9.2 By product
  • 3.10 Production statistics
    • 3.10.1 Production hubs
    • 3.10.2 Consumption hubs
    • 3.10.3 Export and import
  • 3.11 Cost breakdown analysis
  • 3.12 Sustainability and environmental impact analysis
    • 3.12.1 Lifecycle assessment and environmental modeling
    • 3.12.2 Sustainable design and optimization
    • 3.12.3 Environmental compliance and reporting
    • 3.12.4 Green technology and innovation
  • 3.13 Business Case & ROI Analysis
    • 3.13.1 Total cost of ownership framework
    • 3.13.2 ROI calculation methodologies
    • 3.13.3 Implementation timeline & milestones
    • 3.13.4 Risk assessment & mitigation strategies
  • 3.14 Performance Benchmarking & KPIs
    • 3.14.1 Operational efficiency metrics
    • 3.14.2 Safety & compliance indicators
    • 3.14.3 Financial performance benchmarks
    • 3.14.4 Driver performance scoring systems
  • 3.15 Industry Standards & Protocols
    • 3.15.1 SAE J1939 communication standards
    • 3.15.2 TMC recommended practices
    • 3.15.3 Interoperability & data exchange protocols
    • 3.15.4 Cybersecurity & functional safety standards
  • 3.16 Implementation Best Practices
    • 3.16.1 Deployment strategies & methodologies
    • 3.16.2 Change management & driver training
    • 3.16.3 Data integration & analytics setup
    • 3.16.4 Maintenance & support optimization
  • 3.17 Vendor Selection & Evaluation Framework
    • 3.17.1 Technology evaluation criteria
    • 3.17.2 Integration capability assessment
    • 3.17.3 Scalability & future-proofing considerations
    • 3.17.4 Support & service level requirement
  • 3.18 Future outlook & technology roadmap
    • 3.18.1 Technology evolution timeline
    • 3.18.2 Autonomous trucking integration
    • 3.18.3 Electric truck connectivity
    • 3.18.4 Data monetization strategies
    • 3.18.5 Regulatory evolution impact

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 Component, 2021 - 2034 ($Bn, Units)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Telematics control units (TCUS)
    • 5.2.2 On-board diagnostics (OBD) devices
    • 5.2.3 Communication modules (cellular, wi-fi, Bluetooth)
    • 5.2.4 Sensors & data collection devices
    • 5.2.5 GPS/GNSS positioning systems
    • 5.2.6 Others
  • 5.3 Software
    • 5.3.1 Fleet management software platforms
    • 5.3.2 Mobile applications & driver interfaces
    • 5.3.3 Analytics & business intelligence tools
    • 5.3.4 Integration & API management software
    • 5.3.5 Cybersecurity & data protection software
    • 5.3.6 Others
  • 5.4 Services
    • 5.4.1 Installation & integration services
    • 5.4.2 Data analytics & consulting services
    • 5.4.3 Maintenance & technical support
    • 5.4.4 Training & change management services
    • 5.4.5 Managed services & outsourcing
    • 5.4.6 Others

Chapter 6 Market Estimates & Forecast, By Connectivity, 2021 - 2034 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Vehicle-to-Infrastructure (V2I) Communication
    • 6.2.1 Traffic signal integration
    • 6.2.2 Smart highway systems
    • 6.2.3 Toll collection & payment systems
    • 6.2.4 Weigh station communication
    • 6.2.5 Parking & loading zone management
  • 6.3 Vehicle-to-Cloud (V2C) Communication
    • 6.3.1 Fleet management platforms
    • 6.3.2 Remote diagnostics & monitoring
    • 6.3.3 Over-the-air updates & configuration
    • 6.3.4 Data analytics & business intelligence
    • 6.3.5 Regulatory compliance reporting
  • 6.4 Vehicle-to-Vehicle (V2V) Communication
    • 6.4.1 Platooning & convoy operations
    • 6.4.2 Collision avoidance systems
    • 6.4.3 Traffic flow optimization
    • 6.4.4 Emergency vehicle communication
    • 6.4.5 Cooperative adaptive cruise control
  • 6.5 Others

Chapter 7 Market Estimates & Forecast, By Range, 2021 - 2034 ($Bn, Units)

  • 7.1 Key trends
  • 7.2 Dedicated short range communication (DSRC)
  • 7.3 Long range

Chapter 8 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Bn, Units)

  • 8.1 Key trends
  • 8.2 Light Commercial Vehicles (LCV)
    • 8.2.1 Class 1-2 vehicles
    • 8.2.2 Pickup trucks & cargo vans
    • 8.2.3 Small delivery vehicles
    • 8.2.4 Service & utility vehicles
    • 8.2.5 Urban last-mile applications
  • 8.3 Medium Commercial Vehicles (MCV)
    • 8.3.1 Class 3-5 vehicles
    • 8.3.2 Box trucks & step vans
    • 8.3.3 Food service & beverage trucks
    • 8.3.4 Utility & municipal vehicles
    • 8.3.5 Regional distribution applications
    • 8.3.6 Refrigerated transport (reefer) units
  • 8.4 Heavy Commercial Vehicles (HCV)
    • 8.4.1 Class 6-8 vehicles
    • 8.4.2 Long-haul tractors & semi-trailers
    • 8.4.3 Heavy duty trucks & trailers
    • 8.4.4 Construction & vocational vehicles
    • 8.4.5 Specialized heavy equipment

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn, Units)

  • 9.1 Key trends
  • 9.2 Fleet management
  • 9.3 Safety & compliance
  • 9.4 Remote diagnostics & maintenance
  • 9.5 Infotainment & connectivity
  • 9.6 Others

Chapter 10 Market Estimates & Forecast, By Sales Channel, 2021 - 2034 ($Bn, Units)

  • 10.1 Key trends
  • 10.2 OEMs
  • 10.3 Aftermarket

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

  • 11.1 Key trends
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 France
    • 11.3.4 Italy
    • 11.3.5 Spain
    • 11.3.6 Russia
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 India
    • 11.4.3 Japan
    • 11.4.4 Australia
    • 11.4.5 South Korea
    • 11.4.6 Philippines
    • 11.4.7 Indonesia
  • 11.5 Latin America
    • 11.5.1 Brazil
    • 11.5.2 Mexico
    • 11.5.3 Argentina
  • 11.6 MEA
    • 11.6.1 South Africa
    • 11.6.2 Saudi Arabia
    • 11.6.3 UAE

Chapter 12 Company Profiles

  • 12.1 Global Players
    • 12.1.1 BYD Company
    • 12.1.2 Daimler Truck
    • 12.1.3 Iveco
    • 12.1.4 MAN Truck & Bus
    • 12.1.5 Navistar International
    • 12.1.6 PACCAR
    • 12.1.7 Scania
    • 12.1.8 Tata Motors
    • 12.1.9 Tesla
    • 12.1.10 Volvo
  • 12.2 Telematics Providers
    • 12.2.1 Fleet Complete
    • 12.2.2 Geotab
    • 12.2.3 MiX Telematics
    • 12.2.4 Omnitracs
    • 12.2.5 Platform Science
    • 12.2.6 Samsara Networks
    • 12.2.7 Teletrac Navman
    • 12.2.8 Trimble
    • 12.2.9 Verizon Connect
    • 12.2.10 Zonar Systems
  • 12.3 ADAS & Component Suppliers
    • 12.3.1 Aptiv
    • 12.3.2 Autoliv
    • 12.3.3 Continental
    • 12.3.4 DENSO
    • 12.3.5 Knorr-Bremse
    • 12.3.6 Magna International
    • 12.3.7 Mobileye
    • 12.3.8 Robert Bosch
    • 12.3.9 Valeo
    • 12.3.10 ZF Friedrichshafen
  • 12.4 Connectivity & Hardware
    • 12.4.1 HARMAN International
    • 12.4.2 Murata Manufacturing
    • 12.4.3 NXP Semiconductors
    • 12.4.4 Qualcomm Technologies
    • 12.4.5 Sierra Wireless
    • 12.4.6 TE Connectivity