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市場調查報告書
商品編碼
2144532

互聯商用車平台市場預測至2034年－按組件、技術、應用、最終用戶和地區分類的全球分析

Connected Commercial Vehicle Platforms Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software, and Services), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球連網商用車平台市場預計到 2026 年將達到 48 億美元，並在預測期內以 11.1% 的複合年成長率成長，到 2034 年達到 112 億美元。

互聯商用車平台是指一個由硬體和軟體組成的整合生態系統，旨在即時監控、管理和最佳化商用車車隊的效能。這些系統利用遠端資訊處理設備、物聯網感測器和雲端分析技術，追蹤車輛位置、監控駕駛員行為並診斷機械狀況。這包括車隊管理儀錶板、電子記錄器 (ELD) 和預測性維護演算法，使物流業者能夠最大限度地利用資產、確保合規性、提高整體營運安全性、降低油耗並最大限度地減少各種運輸網路中的意外車輛運作。

車隊效率的需求日益成長

在營運效率需求不斷成長的推動下，物流公司正被迫採用能夠提供動態車隊管理選項的連網商用車平台。貨運量的成長和日益嚴格的監管要求正在加速這些旨在最佳化路線和降低營運成本的系統的應用。遠端資訊處理技術的進步提高了即時車輛追蹤的精確度，為這一轉變提供了支援。因此，各公司正在投資連網汽車平台，以最佳化配送效率、最大限度地減少都市區交通堵塞，同時滿足永續性。

資料安全和隱私問題

與互聯商用車平台部署相關的網路安全複雜性是其商業性應用的一大障礙。保護敏感的車輛資料並防止未授權存取通常需要複雜的加密協定和先進的網路監控技術，從而導致整體部署成本大幅增加。此外，無線通訊頻道的漏洞使其容易受到駭客攻擊，限制了先進車載資訊系統在各種環境下的運作可靠性。這些因素共同阻礙了市場擴張，尤其對於IT安全資源有限的中小型企業而言更是如此。

預測性維護解決方案的擴展

在全球預測性維護領域，對車輛狀況主動監測的需求日益成長，為連網商用車平台製造商創造了巨大的發展機會。自動化診斷解決方案以整合感測器分析為主要輸入，能夠有效率地減少意外故障，避免人工檢查造成的延誤。隨著全球對提升車隊可靠性的基礎設施投資不斷增加，以及監管機構倡導永續的營運實踐，先進的連網汽車平台的部署預計將大幅成長，從而創造盈利的商業機會。

透過替代物流方式展開競爭

城市物流替代方式的不斷創新對連網商用車平台市場構成重大威脅。新興的無人駕駛配送無人機和升級後的鐵路貨運網路通常展現出更高的成本效益，預計將為人口密集的都市區提供更具經濟效益的方案，從而降低對公路車輛的整體依賴。此外，傳統叫車軟體的快速發展也提升了傳統交通管理方式的效率。這種競爭壓力可能會阻礙市場滲透，尤其是在那些將減少私家車保有量作為主要營運考量的地區。

新型冠狀病毒（COVID-19）的影響：

疫情初期，由於物流限制和企業預算優先事項的調整，連網汽車平台的普及應用受到阻礙，硬體出貨也出現延誤。然而，隨後對非接觸式貨運和關鍵供應鏈連續性的需求激增，加速了遠端資訊處理系統在關鍵物流合規方面的應用。疫情後，企業更加重視建構具有韌性的供應鏈和數據驅動的業務復甦，這加強了對互聯商用車平台的長期投資，推動了全球各物流領域的市場強勁擴張。

在預測期內，軟體領域預計將佔據最大的市場佔有率。

由於軟體在各種商用車輛車隊環境中發揮基礎性作用並具有廣泛的適用性，預計在預測期內，軟體領域將佔據最大的市場佔有率。諸如車隊管理儀錶板之類的軟體元件具有卓越的運算可靠性，即使在複雜的網路環境中也能高效運行，從而顯著減輕人工規劃的負擔，並最大限度地減少日常管理流程中的操作衝突。隨著企業越來越重視可擴展且經濟高效的數位轉型，對專業車隊管理軟體的需求持續激增，鞏固了其在市場上的主導地位。

預計在預測期內，人工智慧（AI）和機器學習領域將呈現最高的複合年成長率。

在預測期內，人工智慧 (AI) 和機器學習領域預計將呈現最高的成長率，這主要得益於演算法處理和巨量資料工程的快速發展。這些技術將能夠精準預測車輛維護需求，並制定高度專業且穩健的車隊部署計劃，以滿足特定的物流應用需求。透過先進的人工智慧整合，提高預測精度、擴充性和即時適應能力，將顯著提升營運經濟效益，並加速全球商業部署。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的商業貨運網路和先進的交通基礎設施，這些基礎設施廣泛應用了聯網汽車平台。該地區受益於企業的大量技術投資、健全的智慧財產權保護以及政府支持城市數位化和永續交通的政策。此外，美國和加拿大主要產業參與者對先進車輛管理技術的早期應用，也鞏固了該地區在全球市場的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於新興經濟體的快速都市化和商業物流行業的擴張。中國、印度和日本等國家正加大對智慧交通基礎設施和自動駕駛汽車技術的投資，以滿足日益成長的國內出行需求和日益嚴格的環境法規。此外，有利的政府政策、不斷成長的外國直接投資以及經濟高效的技術資源的可用性，正在加速全部區域互聯商用車平台的普及應用。

免費客製化服務：

所有購買此報告的客戶均可從以下免費自訂選項中選擇一項：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球互聯商用車平台市場：依組件分類

  • 硬體
    • 車載資訊設備
    • 感應器
  • 軟體
    • 車隊管理
    • 分析儀錶板
  • 服務
    • 實施數據分析
    • 諮詢

第6章 全球連網商用車平台市場：依技術分類

  • 遠端資訊處理和GPS追蹤
  • 車聯網（V2X）通訊
  • 邊緣運算和車載處理
  • 基於雲端的數據分析和存儲
  • 人工智慧和機器學習

第7章 全球連網商用車平台市場：依應用分類

  • 車輛追蹤和路線最佳化
  • 預測性維護和診斷
  • 駕駛員安全和行為監控
  • 燃料和能源消耗管理
  • 法規遵循和電子日誌記錄 (ELD)

第8章 全球互聯商用車平台市場：依最終用戶分類

  • 物流、貨運、卡車運輸公司
  • 建築/重型設備業務經營者
  • 公共交通運輸管理局
  • 廢棄物管理和衛生服務
  • 現場服務和公共產業公司
  • 其他最終用戶

第9章 全球互聯商用車平台市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第10章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第11章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第12章：公司簡介

  • Geotab Inc.
  • Samsara Inc.
  • Verizon Connect
  • Omnitracs, LLC
  • Trimble Inc.
  • Teletrac Navman
  • MiX Telematics
  • Webfleet Solutions（Bridgestone）
  • Motive（formerly KeepTruckin）
  • Fleet Complete
  • GPS Insight
  • CalAmp Corp.
  • Zonar Systems
  • Transics（Wabco）
  • TomTom Telematics（Webfleet）
  • Spireon, Inc.
  • Navistar（OnCommand Connection）
  • Daimler Truck（Fleetboard）
Product Code: SMRC39956

According to Stratistics MRC, the Global Connected Commercial Vehicle Platforms Market is accounted for $4.8 billion in 2026 and is expected to reach $11.2 billion by 2034 growing at a CAGR of 11.1% during the forecast period. Connected commercial vehicle platforms refer to integrated hardware and software ecosystems designed to monitor, manage, and optimize the performance of commercial fleets in real-time. These systems function by utilizing telematics devices, IoT sensors, and cloud-based analytics to track vehicle location, monitor driver behavior, and diagnose mechanical health. They encompass fleet management dashboards, electronic logging devices, and predictive maintenance algorithms that enable logistics operators to maximize asset utilization, ensure regulatory compliance, and enhance overall operational safety while reducing fuel consumption and minimizing unexpected vehicle downtime across diverse transportation networks.

Market Dynamics:

Driver:

Escalating Demand for Fleet Efficiency

The escalating demand for operational efficiency compels logistics companies to adopt connected commercial vehicle platforms offering dynamic fleet management alternatives. Growing freight volumes and stringent regulatory mandates are accelerating the integration of these systems to optimize routing and reduce operational costs. This transition is supported by advancements in telematics, which enhance real-time vehicle tracking accuracy. Consequently, enterprises are investing in connected vehicle platforms to achieve compliance with sustainability mandates while optimizing delivery efficiency and minimizing urban traffic congestion.

Restraint:

Data Security and Privacy Concerns

The substantial cybersecurity complexities associated with deploying connected commercial vehicle platforms represent a significant barrier to widespread commercial adoption. Protecting sensitive fleet data and preventing unauthorized access often requires complex encryption protocols and sophisticated network monitoring techniques, which escalate overall implementation costs. Furthermore, the vulnerability of wireless communication channels to hacking attempts limits the operational reliability of advanced telematics systems in diverse environments. These factors collectively constrain market expansion, particularly for smaller operators operating with limited IT security resources.

Opportunity:

Expansion in Predictive Maintenance Solutions

The global predictive maintenance sector presents substantial growth opportunities for connected commercial vehicle platform manufacturers due to increasing demand for proactive vehicle health monitoring. Automated diagnostic solutions offer a highly effective pathway to minimize unexpected breakdowns without manual inspection delays, utilizing integrated sensor analytics as primary inputs. As global investments in fleet reliability infrastructure expand and regulatory agencies favor sustainable operational pathways, the adoption of advanced connected vehicle platforms is expected to surge, creating lucrative enterprise avenues.

Threat:

Competition from Alternative Logistics Methods

The continuous innovation of alternative urban logistics options poses a considerable threat to the connected commercial vehicle platforms market. Emerging autonomous delivery drones and enhanced rail freight networks often exhibit superior cost-effectiveness and can be more economically viable for reducing overall road vehicle dependency in dense urban areas. Additionally, the rapid advancement of traditional dispatch software is enhancing the efficiency of conventional transportation management methods. This competitive pressure may hinder market penetration, particularly where reducing private vehicle ownership is a primary operational consideration.

Covid-19 Impact:

The pandemic initially disrupted connected vehicle platform deployments and delayed hardware shipments due to logistical constraints and shifted corporate budget priorities. However, the subsequent surge in demand for contactless freight operations and essential supply chain continuity accelerated the adoption of telematics systems for critical logistics compliance. Post-pandemic, the heightened focus on resilient supply chains and data-driven operational recovery has reinforced long-term investments in connected commercial vehicle platforms, driving robust market expansion across diverse logistics sectors globally.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, due to its foundational role and widespread applicability across diverse commercial fleet environments. Software components like fleet management dashboards offer exceptional computational reliability and operate effectively in complex network conditions, which significantly reduces manual planning efforts and minimizes operational conflicts in daily management processes. As enterprises increasingly prioritize scalable and cost-effective digital upgrades, the demand for specialized fleet management software continues to surge, thereby solidifying its dominant market position.

The artificial intelligence and machine learning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the artificial intelligence and machine learning segment is predicted to witness the highest growth rate, driven by rapid advancements in algorithmic processing and big data engineering. These technologies enable the precise forecasting of vehicle maintenance needs to produce highly specialized and robust fleet deployment schedules tailored for specific logistics applications. The ability to enhance prediction accuracy, scalability, and real-time adaptability through advanced AI integration significantly improves operational economics, accelerating commercial adoption globally.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the presence of well-established commercial freight networks and advanced transportation infrastructure that heavily utilize connected vehicle platforms. The region benefits from substantial corporate technology investments, robust intellectual property protection, and supportive government policies promoting urban digitization and sustainable mobility. Furthermore, the early adoption of advanced fleet management technologies by key industry players in the United States and Canada reinforces the region's dominant position in the global landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid urbanization and expanding commercial logistics development sectors in emerging economies. Countries such as China, India, and Japan are increasingly investing in intelligent transit infrastructure and automated fleet technologies to meet growing domestic mobility demands and stringent environmental regulations. Additionally, favorable government policies, rising foreign direct investment, and the availability of cost-effective technological resources are collectively driving the accelerated adoption of connected commercial vehicle platforms across the region.

Key players in the market

Some of the key players in Connected Commercial Vehicle Platforms Market include Geotab Inc., Samsara Inc., Verizon Connect, Omnitracs, LLC, Trimble Inc., Teletrac Navman, MiX Telematics, Webfleet Solutions (Bridgestone), Motive (formerly KeepTruckin), Fleet Complete, GPS Insight, CalAmp Corp., Zonar Systems, Transics (Wabco), TomTom Telematics (Webfleet), Spireon, Inc., Navistar (OnCommand Connection), and Daimler Truck (Fleetboard).

Key Developments:

In September 2026, Geotab Inc. launched a next-generation telematics platform optimized for commercial fleets, achieving a thirty percent improvement in fuel tracking while significantly reducing hardware maintenance requirements for global logistics operators.

In August 2026, Samsara Inc. expanded its predictive analytics capacity through a strategic partnership with a data science firm, enabling the scalable deployment of novel vehicle health forecasting models for seamless fleet management.

In July 2026, Trimble Inc. secured a major supply agreement to provide customized fleet management software for a prominent European logistics company, facilitating the efficient integration of advanced routing tools into next-generation transportation ecosystems globally.

Components Covered:

  • Hardware
  • Software
  • Services

Technologies Covered:

  • Telematics and GPS Tracking
  • Vehicle-to-Everything (V2X) Communication
  • Edge Computing and Onboard Processing
  • Cloud-Based Data Analytics and Storage
  • Artificial Intelligence and Machine Learning

Applications Covered:

  • Fleet Tracking and Route Optimization
  • Predictive Maintenance and Diagnostics
  • Driver Safety and Behavior Monitoring
  • Fuel and Energy Consumption Management
  • Regulatory Compliance and ELD (Electronic Logging)

End Users Covered:

  • Logistics, Freight, and Trucking Companies
  • Construction and Heavy Equipment Operators
  • Public Transportation and Transit Authorities
  • Waste Management and Sanitation Services
  • Field Service and Utility Companies
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Connected Commercial Vehicle Platforms Market, By Component

  • 5.1 Hardware
    • 5.1.1 Telematics Devices
    • 5.1.2 Sensors
  • 5.2 Software
    • 5.2.1 Fleet Management
    • 5.2.2 Analytics Dashboards
  • 5.3 Services
    • 5.3.1 Installation Data Analytics
    • 5.3.2 Consulting

6 Global Connected Commercial Vehicle Platforms Market, By Technology

  • 6.1 Telematics and GPS Tracking
  • 6.2 Vehicle-to-Everything (V2X) Communication
  • 6.3 Edge Computing and Onboard Processing
  • 6.4 Cloud-Based Data Analytics and Storage
  • 6.5 Artificial Intelligence and Machine Learning

7 Global Connected Commercial Vehicle Platforms Market, By Application

  • 7.1 Fleet Tracking and Route Optimization
  • 7.2 Predictive Maintenance and Diagnostics
  • 7.3 Driver Safety and Behavior Monitoring
  • 7.4 Fuel and Energy Consumption Management
  • 7.5 Regulatory Compliance and ELD (Electronic Logging)

8 Global Connected Commercial Vehicle Platforms Market, By End User

  • 8.1 Logistics, Freight, and Trucking Companies
  • 8.2 Construction and Heavy Equipment Operators
  • 8.3 Public Transportation and Transit Authorities
  • 8.4 Waste Management and Sanitation Services
  • 8.5 Field Service and Utility Companies
  • 8.6 Other End Users

9 Global Connected Commercial Vehicle Platforms Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Geotab Inc.
  • 12.2 Samsara Inc.
  • 12.3 Verizon Connect
  • 12.4 Omnitracs, LLC
  • 12.5 Trimble Inc.
  • 12.6 Teletrac Navman
  • 12.7 MiX Telematics
  • 12.8 Webfleet Solutions (Bridgestone)
  • 12.9 Motive (formerly KeepTruckin)
  • 12.10 Fleet Complete
  • 12.11 GPS Insight
  • 12.12 CalAmp Corp.
  • 12.13 Zonar Systems
  • 12.14 Transics (Wabco)
  • 12.15 TomTom Telematics (Webfleet)
  • 12.16 Spireon, Inc.
  • 12.17 Navistar (OnCommand Connection)
  • 12.18 Daimler Truck (Fleetboard)

List of Tables

  • Table 1 Global Connected Commercial Vehicle Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Connected Commercial Vehicle Platforms Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Connected Commercial Vehicle Platforms Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Connected Commercial Vehicle Platforms Market Outlook, By Telematics Devices (2023-2034) ($MN)
  • Table 5 Global Connected Commercial Vehicle Platforms Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 6 Global Connected Commercial Vehicle Platforms Market Outlook, By Software (2023-2034) ($MN)
  • Table 7 Global Connected Commercial Vehicle Platforms Market Outlook, By Fleet Management (2023-2034) ($MN)
  • Table 8 Global Connected Commercial Vehicle Platforms Market Outlook, By Analytics Dashboards (2023-2034) ($MN)
  • Table 9 Global Connected Commercial Vehicle Platforms Market Outlook, By Services (2023-2034) ($MN)
  • Table 10 Global Connected Commercial Vehicle Platforms Market Outlook, By Installation Data Analytics (2023-2034) ($MN)
  • Table 11 Global Connected Commercial Vehicle Platforms Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 12 Global Connected Commercial Vehicle Platforms Market Outlook, By Technology (2023-2034) ($MN)
  • Table 13 Global Connected Commercial Vehicle Platforms Market Outlook, By Telematics and GPS Tracking (2023-2034) ($MN)
  • Table 14 Global Connected Commercial Vehicle Platforms Market Outlook, By Vehicle-to-Everything (V2X) Communication (2023-2034) ($MN)
  • Table 15 Global Connected Commercial Vehicle Platforms Market Outlook, By Edge Computing and Onboard Processing (2023-2034) ($MN)
  • Table 16 Global Connected Commercial Vehicle Platforms Market Outlook, By Cloud-Based Data Analytics and Storage (2023-2034) ($MN)
  • Table 17 Global Connected Commercial Vehicle Platforms Market Outlook, By Artificial Intelligence and Machine Learning (2023-2034) ($MN)
  • Table 18 Global Connected Commercial Vehicle Platforms Market Outlook, By Application (2023-2034) ($MN)
  • Table 19 Global Connected Commercial Vehicle Platforms Market Outlook, By Fleet Tracking and Route Optimization (2023-2034) ($MN)
  • Table 20 Global Connected Commercial Vehicle Platforms Market Outlook, By Predictive Maintenance and Diagnostics (2023-2034) ($MN)
  • Table 21 Global Connected Commercial Vehicle Platforms Market Outlook, By Driver Safety and Behavior Monitoring (2023-2034) ($MN)
  • Table 22 Global Connected Commercial Vehicle Platforms Market Outlook, By Fuel and Energy Consumption Management (2023-2034) ($MN)
  • Table 23 Global Connected Commercial Vehicle Platforms Market Outlook, By Regulatory Compliance and ELD (Electronic Logging) (2023-2034) ($MN)
  • Table 24 Global Connected Commercial Vehicle Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 25 Global Connected Commercial Vehicle Platforms Market Outlook, By Logistics, Freight, and Trucking Companies (2023-2034) ($MN)
  • Table 26 Global Connected Commercial Vehicle Platforms Market Outlook, By Construction and Heavy Equipment Operators (2023-2034) ($MN)
  • Table 27 Global Connected Commercial Vehicle Platforms Market Outlook, By Public Transportation and Transit Authorities (2023-2034) ($MN)
  • Table 28 Global Connected Commercial Vehicle Platforms Market Outlook, By Waste Management and Sanitation Services (2023-2034) ($MN)
  • Table 29 Global Connected Commercial Vehicle Platforms Market Outlook, By Field Service and Utility Companies (2023-2034) ($MN)
  • Table 30 Global Connected Commercial Vehicle Platforms Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.