Truck Platooning Market
Truck Platooning Market Forecasts to 2028 - Global Analysis By Vehicle Type (Light Commercial Vehicle and Heavy Commercial vehicle), Platooning Type (Autonomous Truck Platooning and Driver-Assistive Tuck Platooning (DATP)), Infrastructure Type (Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Everything(V2X)), Sensor Type, Technology, Autonomous Level, Component, Service and By Geography
|
Years Covered |
2020-2028 |
|
Estimated Year Value (2022) |
US $1888.59 MN |
|
Projected Year Value (2028) |
US $9285.48 MN |
|
CAGR (2022 - 2028) |
30.4% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Truck Platooning Market is accounted for $1,888.59 million in 2022 and is expected to reach $9,285.48 million by 2028 growing at a CAGR of 30.4% during the forecast period. Truck platooning is the linking of two or more trucks in a convoy using connectivity solutions and automated driving assistance systems. When connected for a portion of the journey on a road, the trucks in a truck platoon maintain a close distance between them. Truck platooning has a lot of potential to improve the effectiveness, safety, and cleanliness of future road transportation. Truck platooning technology can lower fuel consumption and harmful gas emissions if the trucks are driven closer to one another, which lowers air resistance between them.
According to Eurostat, over 75% of inland cargo transport within the European Union, i.e., about 1,750 billion ton-kilometers (t-km), travel by road. In some European countries this percentage reached to 90% or more.
Market Dynamics:
Driver:
Reducing CO2 emissions
Heavy-duty vehicle OEMs and Tier-1 manufacturers have been compelled to adopt new technologies as emission standards become more stringent. Similar to this, new policies and programs have been put in place by government organizations like the US Department of Transportation (US DOT) to lower vehicle emissions. The European Union estimates that 25% of freight ton kilometers and 30% of on-road CO2 emissions in Europe are moved by heavy-duty vehicles.
Restraint:
High cost of technologies and hardware
The global Truck Platooning market expected to hinder growth during the forecast period, due to the incorporation of commercially available technological systems, platoon trucks are expected to be very expensive. Advanced features like adaptive cruise control (ACC), blind spot warning (BSW), lane keep assist (LKA), and forward collision warning (FCW) ultimately raise the price of the car as they are installed. Though the majority of these technologies are already in place to support truck platooning, ongoing development is required to make them more reliable. This is due to the fact that technologies embedded in truck platooning must support communications between vehicles (V2V) and infrastructure (V2I).
Opportunity:
Reduction of fuel consumption
The global Truck Platooning market expected to drive growth during the forecast period. Over 30% of the operations' cost is related to fuel. The transportation sector, which operates with thin profit margins, would see a significant reduction in freight costs even if fuel consumption were only slightly reduced. Vehicle manufacturers and transportation service providers may experience a decrease in fuel costs as a result of the use of platooning in the trucking industry. Peloton asserts that two-truck platoons lower aerodynamic drag results in previously unheard-of fuel savings for both the leading and trailing trucks. Truck platooning can thus assist in boosting revenue, and ultimately, the advantages may be passed on to the clients in the form of low travel or merchandise costs.
Threat:
Inadequate infrastructure
Another factor in smart transportation is truck platooning, which necessitates the application of internet of things (IoT) technologies and surrounding infrastructure throughout transportation systems. The development of potential routes for long-haul truck platoons is limited by the state of the current road system. Platoons may not be routed effectively, for example, if lane markings and bridges are inappropriate. As a result, it is anticipated that it will cost more money to build the infrastructure necessary to support and adapt to the advancements in vehicle technology.
Covid-19 Impact:
The COVID-19 pandemic had an effect on truck platooning operations by deploying strict lockdowns. On the sourcing and integration of various autonomous solutions, the outbreak had a marginally negative effect. Many businesses are investing heavily in the creation of electric and hydrogen-powered trucks, despite supply chain disruptions and persistent shortages of semiconductor chips. For instance, the Bosch Group announced in 2022 that it would spend over $200 million to manufacture fuel cell stacks in the United States for use in the coming years in the propulsion of heavy-duty trucks powered by hydrogen.
The adaptive cruise control (ACC) segment is expected to be the largest during the forecast period
Adaptive Cruise Control (ACC) segment is expected to have the largest share during the forecast period due to the growing demand for the truck platooning technology. Truck platooning utilizes adaptive cruise control technology to automatically slow down and accelerate in order to keep a safe distance from the vehicle in front. With this technology, a small radar system is used to calculate the relative distance from the car in front.
The V2V (vehicle-to-vehicle) segment is expected to have the highest CAGR during the forecast period
Due to the increasing demand for this communication technology in truck platooning, the V2V (vehicle-to-vehicle) segment is also anticipated to experience significant growth in the near future. Truck platooning communication technology allows vehicles to share information about their surroundings so they can respond to potential hazards more quickly. As a result, driving is safer, there is less air resistance, and fuel consumption is decreased. As a result, the market for this segment will probably experience rapid growth.
Region with largest share:
The North America region market is estimated to witness a largest share of the global Truck Platooning market during the forecast period. The North American transportation industry is primarily supported by trucks. The region's trucking industry is anticipated to grow as a result of legislative changes like the Compliance, Safety, and Accountability (CSA) and Hours of Service Solution (HOS) revisions. Consequently, it is anticipated that the truck platooning market will expand significantly. Additionally, the prosperous state of this region enables these nations to make significant investments in cutting-edge technologies like truck platooning.
Region with highest CAGR:
Europe is projected to have the highest CAGR over the forecast period. Innovative truck platooning efforts, technological advancements, and strict regional vehicle safety regulations are the main factors propelling the market's expansion. Pioneering efforts in DATP have been made in nations like Sweden and the Netherlands, which top the autonomous vehicle index. The Netherlands launched the European Truck Platooning Challenge in 2016 while it held the EU Presidency. Therefore, it is anticipated that these developments will spur the expansion of truck platooning in the area in the near future.
Key players in the market
Some of the key players in Truck Platooning market include AB Volvo, Bendix Corporation, Bosch, Continental AG, DAF Trucks NV, Daimler AG, Delphi Technologies, Hino Motors, Ltd., IVECO S.p.A, MAN Truck and Bus, Meritor WABCO, Navistar, Inc., NVIDIA Corporation, Omnitracs LLC, Otto Technologies, Peloton Technology, Robert Bosch GmbH, Scania AB, Wabco, Scania AB and ZF Friedrichshafen AG.
Key Developments:
In March 2022, Two Peterbilt trucks have been linked by electronic handshakes to establish tight following distances for platooning trials in Alberta, Canada. Platoons have been seen on Quebec highways and logging roads in other research by Auburn University and FP Innovations. While the platoon's lead truck is in charge of acceleration and braking, the vehicle behind it is controlled semi-autonomously.
In March 2022, IVECO contributed to the development and implementation of a multi-brand platooning technology agreed upon by all major European truck manufacturers. The EU-funded 46-month project demonstrated that platooning could play a critical role in achieving sustainable transportation. Platooning improves fuel economy, CO2 emissions, road safety, and traffic efficiency.
In October 2020, TRATON SE planned to acquire the remaining 83.2% stake in Navistar International Corp. for a total cash consideration of USD 3.7 billion to expand its product portfolio. The acquisition is likely to focus on the development and establishment of trucks in the market for commercial applications.
Vehicle Types Covered:
• Light Commercial Vehicle
• Heavy Commercial vehicle
• Other Vehicle Types
Platooning Types Covered:
• Autonomous Truck Platooning
• Driver-Assistive Tuck Platooning (DATP)
• Other Platooning Types
Infrastructure Types Covered:
• Vehicle-to-Vehicle (V2V)
• Vehicle-to-Infrastructure (V2I)
• Vehicle-to-Everything(V2X)
• Global Positioning System (GPS)
• Other Infrastructure Types
Sensor Types Covered:
• Image
• Radar
• LiDAR
• Camera
• Other Sensor Types
Autonomous Levels Covered:
• Semi-Autonomous
• Partially-Autonomous
• Full-Autonomous
• Other Autonomous Levels
Components Covered:
• Forward Looking Camera
• System Display with Rear Time Camera
• Driver-Centric Design
• RADAR Base Collision Mitigation
• Other Components
Services Covered:
• Telematics Based Services
• Platooning-Based Services
• Other Services
Technologies Covered:
• Adaptive Cruise Control (ACC)
• Automated Emergency Braking (AEB)
• Blind Spot Warning (BSW)
• Acceleration & Braking Controller
• Cellular & Wi-Fi Communication
• DSRS Vehicle to Vehicle Communication
• Cooperative Adaptive Cruise Control (CACC)
• Forward Collision Warning (FCW)
• Global Positioning System (GPS)
• Human Machine Interface (HMI)
• Lane Keep Assist (LKA)
• Active Brake Assist
• Other Technologies
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & 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 2020, 2021, 2022, 2025, and 2028
- 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Truck Platooning Market, By Vehicle Type
5.1 Introduction
5.2 Light Commercial Vehicle
5.3 Heavy Commercial vehicle
5.4 Other Vehicle Types
6 Global Truck Platooning Market, By Platooning Type
6.1 Introduction
6.2 Autonomous Truck Platooning
6.3 Driver-Assistive Tuck Platooning (DATP)
6.4 Other Platooning Types
7 Global Truck Platooning Market, By Infrastructure Type
7.1 Introduction
7.2 Vehicle-to-Vehicle (V2V)
7.3 Vehicle-to-Infrastructure (V2I)
7.4 Vehicle-to-Everything(V2X)
7.5 Global Positioning System (GPS)
7.6 Other Infrastructure Types
8 Global Truck Platooning Market, By Sensor Type
8.1 Introduction
8.2 Image
8.3 Radar
8.4 LiDAR
8.5 Camera
8.6 Other Sensor Types
9 Global Truck Platooning Market, By Autonomous Level
9.1 Introduction
9.2 Semi-Autonomous
9.3 Partially-Autonomous
9.4 Full-Autonomous
9.5 Other Autonomous Levels
10 Global Truck Platooning Market, By Component
10.1 Introduction
10.2 Forward Looking Camera
10.3 System Display with Rear Time Camera
10.4 Driver-Centric Design
10.5 RADAR Base Collision Mitigation
10.6 Other Components
11 Global Truck Platooning Market, By Service
11.1 Introduction
11.2 Telematics-Based Services
11.2.1 Automatic Crash Notification
11.2.2 Emergency Calling
11.2.3 Navigation & Infotainment
11.2.4 On-road Assistance
11.2.5 Remote Diagnostics
11.2.6 Vehicle Tracking
11.3 Platooning-Based Services
11.3.1 Pricing
11.3.2 Financial Transaction
11.3.3 Match Making
11.4 Other Services
12 Global Truck Platooning Market, By Technology
12.1 Introduction
12.2 Adaptive Cruise Control (ACC)
12.3 Automated Emergency Braking (AEB)
12.4 Blind Spot Warning (BSW)
12.5 Acceleration & Braking Controller
12.6 Cellular & Wi-Fi Communication
12.7 DSRS Vehicle to Vehicle Communication
12.8 Cooperative Adaptive Cruise Control (CACC)
12.9 Forward Collision Warning (FCW)
12.10 Global Positioning System (GPS)
12.11 Human Machine Interface (HMI)
12.12 Lane Keep Assist (LKA)
12.13 Active Brake Assist
12.14 Other Technologies
13 Global Truck Platooning Market, By Geography
13.1 Introduction
13.2 North America
13.2.1 US
13.2.2 Canada
13.2.3 Mexico
13.3 Europe
13.3.1 Germany
13.3.2 UK
13.3.3 Italy
13.3.4 France
13.3.5 Spain
13.3.6 Rest of Europe
13.4 Asia Pacific
13.4.1 Japan
13.4.2 China
13.4.3 India
13.4.4 Australia
13.4.5 New Zealand
13.4.6 South Korea
13.4.7 Rest of Asia Pacific
13.5 South America
13.5.1 Argentina
13.5.2 Brazil
13.5.3 Chile
13.5.4 Rest of South America
13.6 Middle East & Africa
13.6.1 Saudi Arabia
13.6.2 UAE
13.6.3 Qatar
13.6.4 South Africa
13.6.5 Rest of Middle East & Africa
14 Key Developments
14.1 Agreements, Partnerships, Collaborations and Joint Ventures
14.2 Acquisitions & Mergers
14.3 New Product Launch
14.4 Expansions
14.5 Other Key Strategies
15 Company Profiling
15.1 AB Volvo
15.2 Bendix Corporation
15.3 Bosch
15.4 Continental AG
15.5 DAF Trucks NV
15.6 Daimler AG
15.7 Delphi Technologies
15.8 Hino Motors, Ltd.
15.9 IVECO S.p.A
15.10 MAN Truck and Bus
15.11 Meritor WABCO
15.12 Navistar, Inc.
15.13 NVIDIA Corporation
15.14 Omnitracs LLC
15.15 Otto Technologies
15.16 Peloton Technology
15.17 Robert Bosch GmbH
15.18 Scania AB
15.19 Wabco, Scania AB
15.20 ZF Friedrichshafen AG.
List of Tables
1 Global Truck Platooning Market Outlook, By Region (2020-2028) ($MN)
2 Global Truck Platooning Market Outlook, By Vehicle Type (2020-2028) ($MN)
3 Global Truck Platooning Market Outlook, By Light Commercial Vehicle (2020-2028) ($MN)
4 Global Truck Platooning Market Outlook, By Heavy Commercial vehicle (2020-2028) ($MN)
5 Global Truck Platooning Market Outlook, By Other Vehicle Types (2020-2028) ($MN)
6 Global Truck Platooning Market Outlook, By Platooning Type (2020-2028) ($MN)
7 Global Truck Platooning Market Outlook, By Autonomous Truck Platooning (2020-2028) ($MN)
8 Global Truck Platooning Market Outlook, By Driver-Assistive Tuck Platooning (DATP) (2020-2028) ($MN)
9 Global Truck Platooning Market Outlook, By Other Platooning Types (2020-2028) ($MN)
10 Global Truck Platooning Market Outlook, By Infrastructure Type (2020-2028) ($MN)
11 Global Truck Platooning Market Outlook, By Vehicle-to-Vehicle (V2V) (2020-2028) ($MN)
12 Global Truck Platooning Market Outlook, By Vehicle-to-Infrastructure (V2I) (2020-2028) ($MN)
13 Global Truck Platooning Market Outlook, By Vehicle-to-Everything(V2X) (2020-2028) ($MN)
14 Global Truck Platooning Market Outlook, By Global Positioning System (GPS) (2020-2028) ($MN)
15 Global Truck Platooning Market Outlook, By Other Infrastructure Types (2020-2028) ($MN)
16 Global Truck Platooning Market Outlook, By Sensor Type (2020-2028) ($MN)
17 Global Truck Platooning Market Outlook, By Image (2020-2028) ($MN)
18 Global Truck Platooning Market Outlook, By Radar (2020-2028) ($MN)
19 Global Truck Platooning Market Outlook, By LiDAR (2020-2028) ($MN)
20 Global Truck Platooning Market Outlook, By Camera (2020-2028) ($MN)
21 Global Truck Platooning Market Outlook, By Other Sensor Types (2020-2028) ($MN)
22 Global Truck Platooning Market Outlook, By Autonomous Level (2020-2028) ($MN)
23 Global Truck Platooning Market Outlook, By Semi-Autonomous (2020-2028) ($MN)
24 Global Truck Platooning Market Outlook, By Partially-Autonomous (2020-2028) ($MN)
25 Global Truck Platooning Market Outlook, By Full-Autonomous (2020-2028) ($MN)
26 Global Truck Platooning Market Outlook, By Other Autonomous Levels (2020-2028) ($MN)
27 Global Truck Platooning Market Outlook, By Component (2020-2028) ($MN)
28 Global Truck Platooning Market Outlook, By Forward Looking Camera (2020-2028) ($MN)
29 Global Truck Platooning Market Outlook, By System Display with Rear Time Camera (2020-2028) ($MN)
30 Global Truck Platooning Market Outlook, By Driver-Centric Design (2020-2028) ($MN)
31 Global Truck Platooning Market Outlook, By RADAR Base Collision Mitigation (2020-2028) ($MN)
32 Global Truck Platooning Market Outlook, By Other Components (2020-2028) ($MN)
33 Global Truck Platooning Market Outlook, By Service (2020-2028) ($MN)
34 Global Truck Platooning Market Outlook, By Telematics-Based Services (2020-2028) ($MN)
35 Global Truck Platooning Market Outlook, By Automatic Crash Notification (2020-2028) ($MN)
36 Global Truck Platooning Market Outlook, By Emergency Calling (2020-2028) ($MN)
37 Global Truck Platooning Market Outlook, By Navigation & Infotainment (2020-2028) ($MN)
38 Global Truck Platooning Market Outlook, By On-Road Assistance (2020-2028) ($MN)
39 Global Truck Platooning Market Outlook, By Remote Diagnostics (2020-2028) ($MN)
40 Global Truck Platooning Market Outlook, By Vehicle Tracking (2020-2028) ($MN)
41 Global Truck Platooning Market Outlook, By Platooning-Based Services (2020-2028) ($MN)
42 Global Truck Platooning Market Outlook, By Pricing (2020-2028) ($MN)
43 Global Truck Platooning Market Outlook, By Financial Transaction (2020-2028) ($MN)
44 Global Truck Platooning Market Outlook, By Match Making (2020-2028) ($MN)
45 Global Truck Platooning Market Outlook, By Other Services (2020-2028) ($MN)
46 Global Truck Platooning Market Outlook, By Technology (2020-2028) ($MN)
47 Global Truck Platooning Market Outlook, By Adaptive Cruise Control (ACC) (2020-2028) ($MN)
48 Global Truck Platooning Market Outlook, By Automated Emergency Braking (AEB) (2020-2028) ($MN)
49 Global Truck Platooning Market Outlook, By Blind Spot Warning (BSW) (2020-2028) ($MN)
50 Global Truck Platooning Market Outlook, By Acceleration & Braking Controller (2020-2028) ($MN)
51 Global Truck Platooning Market Outlook, By Cellular & Wi-Fi Communication (2020-2028) ($MN)
52 Global Truck Platooning Market Outlook, By DSRS Vehicle to Vehicle Communication (2020-2028) ($MN)
53 Global Truck Platooning Market Outlook, By Cooperative Adaptive Cruise Control (CACC) (2020-2028) ($MN)
54 Global Truck Platooning Market Outlook, By Forward Collision Warning (FCW) (2020-2028) ($MN)
56 Global Truck Platooning Market Outlook, By Human Machine Interface (HMI) (2020-2028) ($MN)
57 Global Truck Platooning Market Outlook, By Lane Keep Assist (LKA) (2020-2028) ($MN)
58 Global Truck Platooning Market Outlook, By Active Brake Assist (2020-2028) ($MN)
59 Global Truck Platooning Market Outlook, By Other Technologies (2020-2028) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
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