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卡車隊列全球市場規模:按車輛類型、自治水平、通信技術、組件、系統、COVID-19影響分析、區域展望、增長潛力、競爭對手市場份額、預測2022-2030
市場調查報告書
商品編碼
1123571

卡車隊列全球市場規模:按車輛類型、自治水平、通信技術、組件、系統、COVID-19影響分析、區域展望、增長潛力、競爭對手市場份額、預測2022-2030

Truck Platooning Market Size By Vehicle Type, By Autonomous Level, By Communication Technology, By Component, By System, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2022 - 2030
出版日期: | 出版商: Global Market Insights Inc. | 英文 400 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

由於促進道路安全的嚴格法規的製定，預計全球卡車隊列市場將在 2022-2030 年獲得顯著增長。

本報告研究和分析全球卡車編隊市場，提供行業洞察、細分分析、區域分析和競爭格局。

內容

第一章調查方法及範圍

第 2 章執行摘要

第 3 章對賽道編隊行業的思考

  • 簡介
  • 冠狀病毒 (COVID-19) 大流行的影響
    • 世界觀
    • 區域展望
  • 行業生態系統分析
    • 原料供應商
    • 組件供應商
    • OEM
    • 軟件/技術提供商
    • 最終用戶
    • 利潤率分析
    • 供應商矩陣
  • 烏俄戰爭的影響
  • 技術和創新格局
    • 物聯網
    • 高級駕駛輔助系統 (ADAS)
  • 監管情況
    • 北美
    • 歐洲
    • 亞太地區
    • 南美洲
    • 中東和非洲
  • 主要舉措
  • 專利分析
  • 行業影響因素
    • 驅動程序
    • 行業的潛在風險和問題
  • 增長分析
  • 波特五力分析
  • PESTEL 分析

第 4 章競爭格局（2021 年）

  • 介紹
  • 企業市佔率
  • 主要市場企業競爭分析
    • Robert Bosch GmbH
    • Continental AG
    • AB Volvo
    • NVIDIA Corporation
    • Diamler AG
  • 其他知名市場企業競爭分析
    • ZF Friedrichshafen AG
    • Scania
    • Omnitracs
    • Bendix Commercial Vehicle Systems LLC
  • 供應商採用矩陣
  • 戰略前景矩陣

第 5 章卡車隊列市場:按車型分類

  • 主要趨勢:按車型分類
  • 輕型商用車 (LCV)
  • 重型商用車 (HCV)

第 6 章。卡車拼板市場:按自治級別劃分

  • 主要趨勢:按自治水平
  • 部分自治
  • 完全自治

第 7 章。卡車編排市場:按通信技術分類

  • 主要趨勢:按通信技術
  • 車對車（V 到 V）
  • 車輛到一切（V 到 X）
  • 車輛到基礎設施（V 到 I）

第 8 章。卡車隊列市場:按組件分類

  • 主要趨勢:按組件
  • 硬件
    • 傳感器
    • 檢測系統（雷達/激光雷達）
    • 相機
    • 其他
  • 軟件
  • 服務

第 9 章。卡車拼板市場:按系統分類

  • 主要趨勢:按系統
  • 全球定位系統
  • CACC
  • 人機界面 (HMI)
  • 盲點警告 (BSW)
  • 自動緊急制動
  • 車道保持輔助 (LKA)
  • 前向碰撞警告 (FCW)

第 10 章卡車拼板市場:按地區劃分

  • 2021/2030 年卡車隊列市場:按地區劃分
  • 北美
    • 市場估計和預測:按車型分類（2018-2030 年）
    • 市場估計和預測:按自治水平（2018-2030 年）
    • 市場估計和預測:按通信技術分類（2018-2030 年）
    • 市場估計和預測:按組件（2018-2030 年）
    • 市場估計和預測:按系統（2018-2030 年）
    • 美國
    • 加拿大
  • 歐洲
    • 市場估計和預測:按車型分類（2018-2030 年）
    • 市場估計和預測:按自治水平（2018-2030 年）
    • 市場估計和預測:按通信技術分類（2018-2030 年）
    • 市場估計和預測:按組件（2018-2030 年）
    • 市場估計和預測:按系統（2018-2030 年）
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 西班牙
    • 北歐
    • 比荷盧經濟聯盟
  • 亞太地區
    • 市場估計和預測:按車型分類（2018-2030 年）
    • 市場估計和預測:按自治水平（2018-2030 年）
    • 市場估計和預測:按通信技術分類（2018-2030 年）
    • 市場估計和預測:按組件（2018-2030 年）
    • 市場估計和預測:按系統（2018-2030 年）
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳大利亞和新西蘭
    • 新加坡
  • 拉丁美洲
    • 市場估計和預測:按車型分類（2018-2030 年）
    • 市場估計和預測:按自治水平（2018-2030 年）
    • 市場估計和預測:按通信技術分類（2018-2030 年）
    • 市場估計和預測:按組件（2018-2030 年）
    • 市場估計和預測:按系統（2018-2030 年）
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 市場估計和預測:按車型分類（2018-2030 年）
    • 市場估計和預測:按自治水平（2018-2030 年）
    • 市場估計和預測:按通信技術分類（2018-2030 年）
    • 市場估計和預測:按組件（2018-2030 年）
    • 市場估計和預測:按系統（2018-2030 年）
    • 海合會
    • 南非

第 11 章公司簡介

  • AB Volvo
  • Bendix Commercial Vehicle Systems LLC
  • Continental AG
  • Daimler AG
  • Hino Motors, Ltd.
  • IVECO S.p.A (CNH Industrial)
  • NVIDIA Corporation
  • Omnitracs
  • Peloton Technology
  • Robert Bosch GmbH (Sensors & Control Units)
  • Scania
  • TomTom International BV.
  • TuSimple
  • ZF Friedrichshafen AG
簡介目錄
Product Code: 5329

The truck platooning market is poised to gain significant momentum between 2022 and 2030 driven by the deployment of stringent regulations that promote road safety. The rising prevalence of road accidents has compelled organizations in the road freight sector to look for technologies that can address this issue. According to the International Organization of Motor Vehicle Manufacturers, vehicle to everything (V to X) communication technologies when combined with platooning helped reduce truck accidents by 80%.

Advanced communication and networking systems are enhancing platooning capabilities and road safety. In March 2022, the Alberta Motor Transport Association (AMTA) announced the completion of the first ever on-road commercial truck platooning trials in Canada. The project studied different simulations and track data to determine the potential benefits of platooning technologies.

The rise in demand for heavy-duty electric vehicles for freight services is offering lucrative scope for the adoption of platooning services. For instance, in 2022, Scania partnered with Einride to boost the electrification of road freight. As a part of the deal, Einride will roll out 110 trucks developed by Scania in the second half of 2022.

The global truck platooning market is classified based on vehicle type, autonomous level, communication technology, component, system, and region.

In terms of the autonomous level, the industry is segregated into fully autonomous and partially autonomous. In 2021, the partially autonomous segment held a market share of more than 70%. Truck platooning ensures that a predetermined gap is maintained between the trucks in the fleet and reduces the force of disturbance for steady vehicle following. The connected fleet can smoothly operate different functions such as braking and turning together. Semi-autonomous features of the lead truck limit the number of human errors while driving, thereby preventing crashes.

In terms of communication technology, the global truck platooning market is bifurcated into vehicle to vehicle (V to V), vehicle to infrastructure (V to I), and vehicle to everything (V to X). The vehicle to everything (V to X) segment is expected to register over 30% CAGR from 2022 to 2030. The rising demand for V to X truck platooning can be credited to its ability to improve road safety and traffic management at all levels of vehicle automation. It can also enhance deceleration and braking functions and alert sensors if they are unable to detect.

By system, the truck platooning industry is fragmented into human-machine interface (HMI), global positioning system (GPS), blind spot warning (BSW), lane-keep assist (LKA), automatic emergency braking, cooperative adaptive cruise control (CACC), and forward collision warning (FCW). The human-machine interface (HMI) segment held a market share of more than 14% in 2021. HMI systems allow truck fleets to view data such as temperature, speed, and humidity. Advancements in HMI technology are enabling monitoring, tracking, and supporting different transportation systems, pushing truck fleet operators to integrate it in platooning.

From a regional perspective, Europe truck platooning market share was registered at more than 35% in 2021. Increasing adoption of driver-assistance technologies for mitigating accidents will post sustainable growth opportunities for truck platooning brands across Europe. These systems use advanced cutting-edge sensors that operate across diversified climate conditions.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope & definitions
  • 1.2 Methodology and forecast parameters
  • 1.3 Region-wise COVID-19 impact analysis
    • 1.3.1 North America
    • 1.3.2 Europe
    • 1.3.3 Asia Pacific
    • 1.3.4 South America
    • 1.3.5 MEA
  • 1.4 Data sources
    • 1.4.1 Secondary
    • 1.4.2 Primary
  • 1.5 Glossary

Chapter 2 Executive Summary

  • 2.1 Truck platooning industry 360 degree synopsis, 2018 - 2030
    • 2.1.1 Business trends
      • 2.1.1.1 Total Addressable Market (TAM), 2023-2030
    • 2.1.2 Regional trends
    • 2.1.3 Vehicle type trends
    • 2.1.4 Autonomous level trends
    • 2.1.5 Communication technology trends
    • 2.1.6 Component trends
    • 2.1.7 System trends

Chapter 3 Truck platooning Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of coronavirus (COVID-19) pandemic
    • 3.2.1 Global outlook
    • 3.2.2 Regional outlook
      • 3.2.2.1 North America
      • 3.2.2.2 Europe
      • 3.2.2.3 Asia Pacific
      • 3.2.2.4 South America
      • 3.2.2.5 MEA
  • 3.3 Industry ecosystem analysis
    • 3.3.1 Raw material suppliers
    • 3.3.2 Component suppliers
    • 3.3.3 Original equipment manufacturers (OEMS)
    • 3.3.4 Software/technology providers
    • 3.3.5 End user
    • 3.3.6 Profit margin analysis
    • 3.5.7 Vendor matrix
  • 3.4 Impact of Ukraine-Russia war
  • 3.5 Technology & innovation landscape
    • 3.5.1 IoT
    • 3.5.2 Advanced Driving Assistance System (ADAS)
  • 3.6 Regulatory landscape
    • 3.6.1 North America
    • 3.6.2 Europe
    • 3.6.3 Asia Pacific
    • 3.6.4 South America
    • 3.6.5 MEA
  • 3.7 Key intiatives
  • 3.8 Patent analysis
  • 3.9 Industry impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Growing sales of commercial vehicles
      • 3.9.1.2 Increase in demand to reduce operating cost and fuel consumption by fleet
      • 3.9.1.3 Rising demand for connected vehicles
      • 3.9.1.4 Stringent environment regulations and rising demand for road safety
      • 3.9.1.5 Shortage of skilled drivers
    • 3.9.2 Industry pitfalls and challenges
      • 3.9.2.1 High cost of technology and hardware
      • 3.9.2.2 Lack of infrastructure
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
    • 3.11.1 Supplier power
    • 3.11.2 Buyer power
    • 3.11.3 Threat of new entrants
    • 3.11.4 Threat of substitutes
    • 3.11.5 Industry rivalry
  • 3.12 PESTEL analysis
    • 3.12.1 Political
    • 3.12.2 Economic
    • 3.12.3 Social
    • 3.12.4 Technological
    • 3.12.5 Environmental
    • 3.12.6 Legal

Chapter 4 Competitive Landscape, 2021

  • 4.1 Introduction
  • 4.2 Company market share
  • 4.3 Competitive analysis of major market players
    • 4.3.1 Robert Bosch GmbH
    • 4.3.2 Continental AG
    • 4.3.3 AB Volvo
    • 4.3.4 NVIDIA Corporation
    • 4.3.5 Diamler AG
  • 4.4 Competitive analysis of other prominent market players
    • 4.4.1 ZF Friedrichshafen AG
    • 4.4.2 Scania
    • 4.4.3 Omnitracs
    • 4.4.4 Bendix Commercial Vehicle Systems LLC
  • 4.5 Vendor adoption matrix
  • 4.6 Strategic outlook matrix

Chapter 5 Truck Platooning Market, By Vehicle Type

  • 5.1 Key trends by vehicle type
  • 5.2 Light Commercial Vehicle (LCV)
    • 5.2.1 Market estimates and forecast, 2018 - 2030
  • 5.3 Heavy Commercial Vehicle (HCV)
    • 5.3.1 Market estimates and forecast, 2018 - 2030

Chapter 6 Truck platooning Market, By Autonomous Level

  • 6.1 Key trends by autonomous level
  • 6.2 Partially autonomous
    • 6.2.1 Market estimates and forecast, 2018 - 2030
  • 6.3 Fully autonomous
    • 6.3.1 Market estimates and forecast, 2018 - 2030

Chapter 7 Truck platooning Market, By Communication Technology

  • 7.1 Key trends by communication technology
  • 7.2 Vehicle to Vehicle (V to V)
    • 7.2.1 Market estimates and forecast, 2018 - 2030
  • 7.3 Vehicle to Everything (V to X)
    • 7.3.1 Market estimates and forecast, 2018 - 2030
  • 7.4 Vehicle to Infrastructure (V to I)
    • 7.4.1 Market estimates and forecast, 2018 - 2030

Chapter 8 Truck Platooning Market, By Component

  • 8.1 Key trends by component
  • 8.2 Hardware
    • 8.2.1 Market estimates and forecast, 2018 - 2030
    • 8.3.1 Sensors
      • 8.3.1.1 Market estimates and forecast, 2018 - 2030
    • 8.3.2 Detection Systems (Radar & LiDAR)
      • 8.3.2.1 Market estimates and forecast, 2018 - 2030
    • 8.3.3 Camera
      • 8.3.3.1 Market estimates and forecast, 2018 - 2030
    • 8.3.4 Others
      • 8.3.4.1 Market estimates and forecast, 2018 - 2030
  • 8.3 Software
    • 8.3.1 Market estimates and forecast, 2018 - 2030
  • 8.4 Services
    • 8.4.1 Market estimates and forecast, 2018 - 2030

Chapter 9 Truck Platooning Market, By System

  • 9.1 Key trends by system
  • 9.2 Global Positioning System (GPS)
    • 9.2.1 Market estimates and forecast, 2018 - 2030
  • 9.3 Cooperative Adaptive Cruise Control (CACC)
    • 9.3.1 Market estimates and forecast, 2018 - 2030
  • 9.4 Human Machine Interface (HMI)
    • 9.4.1 Market estimates and forecast, 2018 - 2030
  • 9.5 Blind Spot Warning (BSW)
    • 9.5.1 Market estimates and forecast, 2018 - 2030
  • 9.6 Automatic Emergency Braking
    • 9.6.1 Market estimates and forecast, 2018 - 2030
  • 9.7 Lane-Keep Assist (LKA)
    • 9.7.1 Market estimates and forecast, 2018 - 2030
  • 9.8 Forward Collision Warning (FCW)
    • 9.8.1 Market estimates and forecast, 2018 - 2030

Chapter 10 Truck Platooning Market, By Region

  • 10.1 Truck platooning market, by region, 2021 & 2030
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2018 - 2030
    • 10.2.2 Market estimates and forecast, by vehicle type, 2018 - 2030
    • 10.2.3 Market estimates and forecast, by autonomous level, 2018 - 2030
    • 10.2.4 Market estimates and forecast, by communication technology, 2018 - 2030
    • 10.2.5 Market estimates and forecast, by component, 2018 - 2030
      • 10.2.5.1 Market estimates and forecast, by hardware, 2018 - 2030
    • 10.2.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2018 - 2030
      • 10.2.7.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.2.7.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.2.7.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.2.7.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.2.7.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.2.7.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2018 - 2030
      • 10.2.8.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.2.8.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.2.8.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.2.8.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.2.8.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.2.8.6 Market estimates and forecast, by system, 2018 - 2030
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2018 - 2030
    • 10.3.2 Market estimates and forecast, by vehicle type, 2018 - 2030
    • 10.3.3 Market estimates and forecast, by autonomous level, 2018 - 2030
    • 10.3.4 Market estimates and forecast, by communication technology, 2018 - 2030
    • 10.3.5 Market estimates and forecast, by component, 2018 - 2030
      • 10.3.5.1 Market estimates and forecast, by hardware, 2018 - 2030
    • 10.3.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2018 - 2030
      • 10.3.7.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.7.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.7.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.7.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.7.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.7.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2018 - 2030
      • 10.3.8.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.8.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.8.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.8.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.8.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.8.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2018 - 2030
      • 10.3.9.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.9.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.9.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.9.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.9.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.9.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2018 - 2030
      • 10.3.10.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.10.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.10.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.10.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.10.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.10.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2018 - 2030
      • 10.3.11.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.11.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.11.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.11.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.11.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.11.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.12 Spain
      • 10.3.12.1 Market estimates and forecast, 2018 - 2030
      • 10.3.12.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.12.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.12.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.12.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.12.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.12.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.13 Nordics
      • 10.3.13.1 Market estimates and forecast, 2018 - 2030
      • 10.3.13.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.13.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.13.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.13.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.13.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.13.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.3.14 Benelux
      • 10.3.14.1 Market estimates and forecast, 2018 - 2030
      • 10.3.14.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.3.14.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.3.14.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.3.14.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.3.14.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.3.14.6 Market estimates and forecast, by system, 2018 - 2030
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2018 - 2030
    • 10.4.2 Market estimates and forecast, by vehicle type, 2018 - 2030
    • 10.4.3 Market estimates and forecast, by autonomous level, 2018 - 2030
    • 10.4.4 Market estimates and forecast, by communication technology, 2018 - 2030
    • 10.4.5 Market estimates and forecast, by component, 2018 - 2030
      • 10.4.5.1 Market estimates and forecast, by hardware, 2018 - 2030
    • 10.4.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.7 China
      • 10.4.7.1 Market estimates and forecast, 2018 - 2030
      • 10.4.7.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.7.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.7.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.7.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.7.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.7.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.8 India
      • 10.4.8.1 Market estimates and forecast, 2018 - 2030
      • 10.4.8.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.8.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.8.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.8.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.8.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.8.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.9 Japan
      • 10.4.9.1 Market estimates and forecast, 2018 - 2030
      • 10.4.9.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.9.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.9.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.9.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.9.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.9.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.10 South Korea
      • 10.4.10.1 Market estimates and forecast, 2018 - 2030
      • 10.4.10.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.10.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.10.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.10.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.10.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.10.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.11 ANZ
      • 10.4.11.1 Market estimates and forecast, 2018 - 2030
      • 10.4.11.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.11.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.11.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.11.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.11.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.11.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.4.12 Singapore
      • 10.4.12.1 Market estimates and forecast, 2018 - 2030
      • 10.4.12.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.4.12.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.4.12.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.4.12.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.4.12.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.4.12.6 Market estimates and forecast, by system, 2018 - 2030
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2018 - 2030
    • 10.5.2 Market estimates and forecast, by vehicle type, 2018 - 2030
    • 10.5.3 Market estimates and forecast, by autonomous level, 2018 - 2030
    • 10.5.4 Market estimates and forecast, by communication technology, 2018 - 2030
    • 10.5.5 Market estimates and forecast, by component, 2018 - 2030
      • 10.5.5.1 Market estimates and forecast, by hardware, 2018 - 2030
    • 10.5.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.5.7 Brazil
      • 10.5.7.1 Market estimates and forecast, 2018 - 2030
      • 10.5.7.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.5.7.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.5.7.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.5.7.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.5.7.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.5.7.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.5.8 Mexico
      • 10.5.8.1 Market estimates and forecast, 2018 - 2030
      • 10.5.8.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.5.8.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.5.8.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.5.8.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.5.8.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.5.8.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.5.9 Argentina
      • 10.5.9.1 Market estimates and forecast, 2018 - 2030
      • 10.5.9.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.5.9.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.5.9.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.5.9.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.5.9.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.5.9.6 Market estimates and forecast, by system, 2018 - 2030
  • 10.6 Middle East & Africa
    • 10.6.1 Market estimates and forecast, 2018 - 2030
    • 10.6.2 Market estimates and forecast, by vehicle type, 2018 - 2030
    • 10.6.3 Market estimates and forecast, by autonomous level, 2018 - 2030
    • 10.6.4 Market estimates and forecast, by communication technology, 2018 - 2030
    • 10.6.5 Market estimates and forecast, by component, 2018 - 2030
      • 10.6.5.1 Market estimates and forecast, by hardware, 2018 - 2030
    • 10.6.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.6.7 GCC
      • 10.6.7.1 Market estimates and forecast, 2018 - 2030
      • 10.6.7.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.6.7.3 Market estimates and forecast, by autonomous level, 2018 - 2030
      • 10.6.7.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.6.7.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.6.6.7.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.6.7.6 Market estimates and forecast, by system, 2018 - 2030
    • 10.6.8 South Africa
      • 10.6.8.1 Market estimates and forecast, 2018 - 2030
      • 10.6.8.2 Market estimates and forecast, by vehicle type, 2018 - 2030
      • 10.6.8.3 Market estimates and forecast, by autonomous level, 2018 -2030
      • 10.6.8.4 Market estimates and forecast, by communication technology, 2018 - 2030
      • 10.6.8.5 Market estimates and forecast, by component, 2018 - 2030
        • 10.6.8.5.1 Market estimates and forecast, by hardware, 2018 - 2030
      • 10.6.8.6 Market estimates and forecast, by system, 2018 - 2030

Chapter 11 Company Profiles

  • 11.1 AB Volvo
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Vehicle type Landscape
    • 11.1.4 Strategic Outlook
    • 11.1.5 SWOT Analysis
  • 11.2 Bendix Commercial Vehicle Systems LLC
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Vehicle type Landscape
    • 11.2.4 Strategic Outlook
    • 11.2.5 SWOT Analysis
  • 11.3 Continental AG
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Vehicle type Landscape
    • 11.3.4 SWOT Analysis
  • 11.4 Daimler AG
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Vehicle type Landscape
    • 11.4.4 Strategic Outlook
    • 11.4.5 SWOT Analysis
  • 11.5 Hino Motors, Ltd.
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Vehicle type Landscape
    • 11.5.4 Strategic Outlook
    • 11.5.5 SWOT Analysis
  • 11.6 IVECO S.p.A (CNH Industrial)
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Vehicle type Landscape
    • 11.6.4 Strategic Outlook
    • 11.6.5 SWOT Analysis
  • 11.7 NVIDIA Corporation
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Vehicle type Landscape
    • 11.7.4 Strategic Outlook
    • 11.7.5 SWOT Analysis
  • 11.8 Omnitracs
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Vehicle type Landscape
    • 11.8.4 SWOT Analysis
  • 11.9 Peloton Technology
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Vehicle type Landscape
    • 11.9.4 Strategic Outlook
    • 11.9.5 SWOT Analysis
  • 11.10 Robert Bosch GmbH (Sensors & Control Units)
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Vehicle type Landscape
    • 11.10.4 Strategic Outlook
    • 11.10.5 SWOT Analysis
  • 11.11 Scania
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Vehicle type Landscape
    • 11.11.4 Strategic Outlook
    • 11.11.5 SWOT Analysis
  • 11.12 TomTom International BV.
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Vehicle type Landscape
    • 11.12.4 Strategic Outlook
    • 11.12.5 SWOT Analysis
  • 11.13 TuSimple
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Vehicle type Landscape
    • 11.13.4 Strategic Outlook
    • 11.13.5 SWOT Analysis
  • 11.14 ZF Friedrichshafen AG
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Vehicle type Landscape
    • 11.14.4 Strategic Outlook
    • 11.14.5 SWOT Analysis