Truck Platooning Market Size By Vehicle Type (Light Commercial Vehicle [LCV], Heavy Commercial Vehicle [HCV]), By Autonomous Level (Partially- Autonomous, Fully Autonomous), By Communication Technology (Vehicle to Vehicle [V to V], Vehicle to Everything [V to X], Vehicle to Infrastructure [V to I]), By Component (Hardware [Sensors, Detection Systems {Radar & LiDAR}, Camera], Software, Services), By System (Global Positioning System [GPS], Cooperative Adaptive Cruise Control [CACC], Human Machine Interface [HMI], Blind Spot Warning [BSW], Automatic Emergency Braking, Lane-Keep Assist [LKA], Forward Collision Warning [FCW]), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2022 - 2030
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.
- 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
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