Global Truck Platooning Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

List of Tables

The global demand for Truck Platooning Market is presumed to reach the market size of nearly USD 58.62 MN by 2030 from USD 4.74 MN in 2022 with a CAGR of 32.24% under the study period 2023 - 2030.

Truck platooning refers to the use of networking solutions and automated driving assistance systems to unite two or more trucks in convoy. The system has the ability to make road transportation cleaner, more efficient, and safer. Further, these self-driving trucks have the potential to reduce traffic congestion and lower transportation costs while also addressing the scarcity of truck drivers.

MARKET DYNAMICS:

Major factors propelling the truck platooning market forward are the growing need for enhancing driver capabilities and a rise in commercial vehicles. New trends in the road freight sector, like vehicle customization, are allowing truck fleets to get equipped with navigation tools and advanced securiy. Such initiatives will generate a substantial scope for adopting truck platooning systems and services in the coming years. As a setback, these autonomous technologies have high costs, which might restrict industry growth. Nonetheless, many original equipment manufacturers (OEMs) are scaling up investments in the research and development of innovative vehicle designs leading to new opportunities within the truck platooning industry.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of truck platooning. The growth and trends of truck platooning industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the truck platooning market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Platooning Type

Autonomous Truck Platooning
DATP

By Services

Telematics-Based Services (Automatic Crash Notification, Emergency Calling, Navigation & Infotainment, On-Road Assistance, Remote Diagnostics, Vehicle Tracking)
Platooning-Based Services (Pricing, Financial Transaction, Match Making)

By Systems

Adaptive Cruise Control (ACC)
Automated Emergency Braking (AEB)
Blind Spot Warning (BSW)
Forward Collision Warning (FCW)
Global Positioning System (GPS)
Human Machine Interface (HMI)
Lane Keep Assist (LKA)
Others

By Sensor Type

Image
Radar
LiDAR

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Truck Platooning market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the truck platooning market include Continental (Germany), Bosch (Germany), NVIDIA (US), and PELOTON (US). Platooning systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), and others. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR11219491

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . TRUCK PLATOONING - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Platooning Type
- 3.7.2 Market Attractiveness Analysis By Services
- 3.7.3 Market Attractiveness Analysis By Systems
- 3.7.4 Market Attractiveness Analysis By Sensor Type
- 3.7.5 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL TRUCK PLATOONING MARKET ANALYSIS BY PLATOONING TYPE

6.1 Overview by Platooning Type
6.2 Historical and Forecast Data
6.3 Analysis by Platooning Type
6.4 Autonomous Truck Platooning Historic and Forecast Sales by Regions
6.5 DATP Historic and Forecast Sales by Regions

7 . GLOBAL TRUCK PLATOONING MARKET ANALYSIS BY SERVICES

7.1 Overview by Services
7.2 Historical and Forecast Data
7.3 Analysis by Services
7.4 Telematics-Based Services (Automatic Crash Notification, Emergency Calling, Navigation & Infotainment, On-road Assistance, Remote Diagnostics, Vehicle Tracking) Historic and Forecast Sales by Regions
7.5 Platooning-Based Services (Pricing, Financial Transaction, Match Making) Historic and Forecast Sales by Regions

8 . GLOBAL TRUCK PLATOONING MARKET ANALYSIS BY SYSTEMS

8.1 Overview by Systems
8.2 Historical and Forecast Data
8.3 Analysis by Systems
8.4 Adaptive Cruise Control (ACC) Historic and Forecast Sales by Regions
8.5 Automated Emergency Braking (AEB) Historic and Forecast Sales by Regions
8.6 Blind Spot Warning (BSW) Historic and Forecast Sales by Regions
8.7 Forward Collision Warning (FCW) Historic and Forecast Sales by Regions
8.8 Global Positioning System (GPS) Historic and Forecast Sales by Regions
8.9 Human Machine Interface (HMI) Historic and Forecast Sales by Regions
8.10. Lane Keep Assist (LKA) Historic and Forecast Sales by Regions
8.11 Others Historic and Forecast Sales by Regions

9 . GLOBAL TRUCK PLATOONING MARKET ANALYSIS BY SENSOR TYPE

9.1 Overview by Sensor Type
9.2 Historical and Forecast Data
9.3 Analysis by Sensor Type
9.4 Image Historic and Forecast Sales by Regions
9.5 Radar Historic and Forecast Sales by Regions
9.6 LiDAR Historic and Forecast Sales by Regions

10 . GLOBAL TRUCK PLATOONING MARKET ANALYSIS BY GEOGRAPHY

10.1. Regional Outlook
10.2. Introduction
10.3. North America Sales Analysis
- 10.3.1. Overview, Historic and Forecast Sales Analysis
- 10.3.2. North America By Segment Sales Analysis
- 10.3.3. North America By Country Sales Analysis
- 10.3.4. United State Sales Analysis
- 10.3.5. Canada Sales Analysis
- 10.3.6. Mexico Sales Analysis
10.4. Europe Sales Analysis
- 10.4.1. Overview, Historic and Forecast Sales Analysis
- 10.4.2. Europe by Segment Sales Analysis
- 10.4.3. Europe by Country Sales Analysis
- 10.4.4. United Kingdom Sales Analysis
- 10.4.5. France Sales Analysis
- 10.4.6. Germany Sales Analysis
- 10.4.7. Italy Sales Analysis
- 10.4.8. Russia Sales Analysis
- 10.4.9. Rest Of Europe Sales Analysis
10.5. Asia Pacific Sales Analysis
- 10.5.1. Overview, Historic and Forecast Sales Analysis
- 10.5.2. Asia Pacific by Segment Sales Analysis
- 10.5.3. Asia Pacific by Country Sales Analysis
- 10.5.4. China Sales Analysis
- 10.5.5. India Sales Analysis
- 10.5.6. Japan Sales Analysis
- 10.5.7. South Korea Sales Analysis
- 10.5.8. Australia Sales Analysis
- 10.5.9. Rest Of Asia Pacific Sales Analysis
10.6. Latin America Sales Analysis
- 10.6.1. Overview, Historic and Forecast Sales Analysis
- 10.6.2. Latin America by Segment Sales Analysis
- 10.6.3. Latin America by Country Sales Analysis
- 10.6.4. Brazil Sales Analysis
- 10.6.5. Argentina Sales Analysis
- 10.6.6. Peru Sales Analysis
- 10.6.7. Chile Sales Analysis
- 10.6.8. Rest of Latin America Sales Analysis
10.7. Middle East & Africa Sales Analysis
- 10.7.1. Overview, Historic and Forecast Sales Analysis
- 10.7.2. Middle East & Africa by Segment Sales Analysis
- 10.7.3. Middle East & Africa by Country Sales Analysis
- 10.7.4. Saudi Arabia Sales Analysis
- 10.7.5. UAE Sales Analysis
- 10.7.6. Israel Sales Analysis
- 10.7.7. South Africa Sales Analysis
- 10.7.8. Rest Of Middle East And Africa Sales Analysis

11 . COMPETITIVE LANDSCAPE OF THE TRUCK PLATOONING COMPANIES

11.1. Truck Platooning Market Competition
11.2. Partnership/Collaboration/Agreement
11.3. Merger And Acquisitions
11.4. New Product Launch
11.5. Other Developments

12 . COMPANY PROFILES OF TRUCK PLATOONING INDUSTRY

12.1. Top Company Share Analysis
12.2. Market Concentration Rate
12.3. Continental (Germany)
- 12.3.1. Company Overview
- 12.3.2. Company Revenue
- 12.3.3. Products
- 12.3.4. Recent Developments
12.4. Bosch (Germany)
- 12.4.1. Company Overview
- 12.4.2. Company Revenue
- 12.4.3. Products
- 12.4.4. Recent Developments
12.5. NVIDIA (US)
- 12.5.1. Company Overview
- 12.5.2. Company Revenue
- 12.5.3. Products
- 12.5.4. Recent Developments
12.6. PELOTON (US)
- 12.6.1. Company Overview
- 12.6.2. Company Revenue
- 12.6.3. Products
- 12.6.4. Recent Developments
12.7. Volvo (Sweden)
- 12.7.1. Company Overview
- 12.7.2. Company Revenue
- 12.7.3. Products
- 12.7.4. Recent Developments
12.8. Daimler (Germany)
- 12.8.1. Company Overview
- 12.8.2. Company Revenue
- 12.8.3. Products
- 12.8.4. Recent Developments
12.9. Others
- 12.9.1. Company Overview
- 12.9.2. Company Revenue
- 12.9.3. Products
- 12.9.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies