Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030
[187 Pages Report] The artificial intelligence in transportation market was valued at USD 1.00 Billion in 2016 and is projected to grow at a CAGR of 17.87% during the forecast period.The base year considered for the study is 2016 and the forecast period is from 2017 to 2030.
Growing demand for safety & security and increasing focus toward reducing the operating cost of transportation have triggered the growth of the artificial intelligence market for transportation.
Objectives
- To define, segment, and forecast the AI in transportation market (2017–2030), in terms of value (USD million)
- To define, describe, and project the market, by application (autonomous trucks, HMI in trucks, and semi-autonomous trucks) at country level
- To define, describe, and project the AI in transportation market, by offering, by process, and by machine learning technology in regions, namely, Asia Oceania, Europe, North America, and the Rest of the World (RoW)
- To define, describe, and project the truck platooning market for artificial intelligence, in terms of volume (‘000 units) and value (USD million)
- To provide a detailed analysis of various forces acting in the artificial intelligence in transportation market (drivers, restraints, opportunities, and challenges)
- To analyze the competitive landscape which includes recent developments (new product developments, expansion, mergers & acquisitions, supply contracts/joint ventures) by the OEMs, software/solution providers, Tier-1 companies, and startups
The research methodology used in the report involves primary and secondary sources and follows a top-down approach for data triangulation. The study involves the study of country-level regulations related to autonomous driving and analysis of different applications considered for artificial intelligence in transportation (autonomous trucks, HMI in trucks, and semi-autonomous trucks). This analysis involves historical trends as well as existing penetrations by country as well as application. The analysis is projected based on various factors such as government regulations, key developments, public acceptance, level of automation in that country, and adoption rate by OEMs. The analysis has been discussed and validated by primary respondents, which include experts from the artificial intelligence in transportation industry, AI professionals & consultants, and software & hardware suppliers. Secondary sources include associations such as Association for the Advancement of Artificial Intelligence (AAAI), European Coordinating Committee for Artificial Intelligence (ECCAI), artificial intelligence software & hardware suppliers’ websites and annual reports, and paid databases and directories such as Factiva and Bloomberg.
The figure given below illustrates the break-up of the profile of industry experts who participated in primary discussions.
To know about the assumptions considered for the study, download the pdf brochure
The ecosystem of the artificial intelligence in transportation market consists of Tier I suppliers and software/service providers such as Continental (Germany), Bosch (Germany), NVIDIA (US), and Microsoft (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), and others.
Target Audience
- Artificial intelligence hardware and software suppliers
- Raw material manufacturers of artificial intelligence system components
- Automotive OEMs
- Artificial intelligence service/solution providers
- Industry associations and connected vehicle systems manufacturers
- Government’s national and regional environmental regulatory agencies or organizations
- The automobile industry and related end-user industries
Want to explore hidden markets that can drive new revenue in Artificial Intelligence in Transportation Market?
Scope of the Report
Want to explore hidden markets that can drive new revenue in Artificial Intelligence in Transportation Market?
-
Market, By Application
- Autonomous Trucks
- HMI in Trucks
- Semi-Autonomous Trucks
-
Market, By Offering
-
Hardware
- Neuromorphic
- Von Neumann
-
Software
- Platforms
- Solutions
-
Hardware
-
Market, By Machine Learning Technology
- Deep Learning
- Computer Vision
- Context Awareness
- Natural Language Processing
-
Market, By Process
- Signal Recognition
- Object Recognition
- Data Mining
-
Truck platooning market for artificial intelligence, By Region
- Asia Oceania
- Europe
- North America
- Rest of the World
-
Market, By Region & Country
- Asia Oceania (China, Japan, South Korea, India, and Others)
- Europe (Germany, France, UK, and Others)
- North America (US, Mexico, and Canada)
- Rest of the World (Brazil, Russia, and Others)
Available Customizations
-
AI Market in Buses, By Application
- Autonomous Trucks
- HMI in Trucks
- Semi-Autonomous Trucks
-
AI Market in Buses, By Region
- Asia Oceania
- Europe
- North America
- Rest of the World
-
AI in Transportation Market in Fleets, By Region
- Asia Oceania
- Europe
- North America
- Rest of the World
(Countries include China, Japan, South Korea, India, Germany, France, UK, Italy, US, Mexico, Canada, Brazil, and Russia)
The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% from 2017 to 2030, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030. The increasing government regulations for vehicle safety, growing adoption of advanced driver assistance systems (ADAS), and development of autonomous vehicles play a significant role in the growth of this market.
Deep learning technology is estimated to be the largest and fastest growing segment of the global market, by machine learning technology. The deep learning technology is widely used in the development of autonomous vehicles, which need to see, think, drive, and learn. The last step is “learn,” where deep learning will be critical for achieving fully autonomous vehicles. Many companies are investing in the development of self-driving trucks, which use the deep learning technology for image processing, speech recognition, and data analysis. Autonomous trucks are projected to be the fastest growing segment of the global artificial intelligence in transportation market, by application. Autonomous trucks are the major target for the application of artificial intelligence technology. Up until now, AI technology research was focusing on traffic and navigation system, but now the focus has shifted to make fully autonomous trucks. Many manufacturers such as Volvo (Sweden), Scania (Sweden), and Daimler (Germany) are developing and testing fully autonomous trucks.
Truck platooning is projected to be the next emerging segment for this market. Artificial intelligence technologies such as sensor fusion, signal recognition, forward collision warning, and lane keep assist are the key drivers for truck platooning. The growing environmental concerns, increasing fuel efficiency, stringent government regulations for emission, and concerns of traffic congestion have accelerated the growth of the truck platooning market. According to the ITS4CV (Intelligent Transport Systems for Commercial Vehicles) study by Ertico, platooning can reduce CO2 emissions by up to 16% from the trailing vehicles and up to 8% from the lead vehicle, as the trucks drive closer together at a constant speed, with less accelerating and braking. The artificial intelligence in transportation market players such as Volvo, Scania, Daimler, Otto, and MAN are consistently improving their truck platooning systems.
North America is estimated to be the largest market for artificial intelligence in transportation, in terms of value. Trucks are the major contributor to the transportation sector of North America. The regulatory developments such as Compliance, Safety, and Accountability (CSA) and Hours of Service Solution (HOS) revisions are expected to drive the growth of the transportation industry in the region. Hence, the artificial intelligence transportation market is expected to see substantial growth. Also, the strong financial position of the region allows these countries to invest heavily in leading technologies in the field of Artificial Intelligence. For instance, according to the Center for Automotive Research, Mexico has received investments of USD 20.00 billion for the automotive sector in the past 4 years. Asia Oceania is estimated to be the fastest growing market for artificial intelligence in transportation, in terms of value. The artificial intelligence in transportation market growth in the region can be attributed to strong economic growth, booming logistics and supply chain sector, shift of unorganized 3PL (third party logistics) sector to organized sector, and steadily growing population. These factors have played a vital role in the increasing production and sale of commercial vehicles, mainly trucks.
The key factors restraining the growth of the artificial intelligence in transportation market are the high cost of artificial intelligence systems and infrastructure development cost. The installation of advanced features such as blind spot detection, lane assist system, adaptive cruise control, and collision warning system increases the overall cost of the vehicle. The artificial intelligence enabled smart transportation needs surroundings which understand it, and this, in turn, is expected to increase the cost of developing the infrastructure. The infrastructure should be able to adapt to the technological advancements taking place in the vehicle and support them for the smooth functioning. Market is dominated by a few global players. Some of the key manufacturers operating in the artificial intelligence in transportation market are Volvo (Sweden), Daimler (Germany), Scania (Sweden), Bosch (Germany), Intel (US), and NVIDIA (US).
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.
Table of Contents
1 Introduction (Page No. - 17)
1.1 Objectives of the Study
1.2 Artificial Intelligence in Transportation Market Definition
1.3 Artificial Intelligence in Transportation Market Scope
1.3.1 Years Considered in the Study
1.4 Currency
1.5 Package Size
1.6 Limitations
1.7 Stakeholders
2 Research Methodology (Page No. - 21)
2.1 Research Data
2.2 Secondary Data
2.2.1 Key Secondary Sources
2.2.2 Key Data From Secondary Sources
2.3 Primary Data
2.3.1 Sampling Techniques & Data Collection Methods
2.3.2 Primary Participants
2.4 Factor Analysis
2.4.1 Demand-Side Analysis
2.4.1.1 Traffic Control and Reduced Congestion
2.4.1.2 Increasing Number of Adas Features in Trucks With the Increasing Level of Automation
2.4.2 Supply-Side Analysis
2.4.2.1 Technological Development - Sensor Fusion
2.4.2.2 Highway Autopilot
2.5 Artificial Intelligence in Transportation Market Size Estimation
2.5.1 Top-Down Approach
2.5.2 Market Breakdown and Data Triangulation
2.5.3 Assumptions
3 Executive Summary (Page No. - 34)
4 Premium Insights (Page No. - 42)
4.1 Attractive Opportunities in the Artificial Intelligence in Transportation Market
4.2 AI in Transportation Market, By Region
4.3 AI in Transportation Market, By Offering
4.4 AI in Transportation Market, By Machine Learning Technology
4.5 AI in Transportation Market, By Process
4.6 AI in Transportation Market, By Application
4.7 Truck Platooning Market for Artificial Intelligence, By Region
5 Artificial Intelligence in Transportation Market Overview (Page No. - 48)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Safety and Security
5.2.1.2 Operating Cost Efficiency
5.2.2 Restraints
5.2.2.1 High Cost of Artificial Intelligence Systems
5.2.2.2 Infrastructure Cost
5.2.3 Opportunities
5.2.3.1 Truck Platooning
5.2.3.2 Increasing Level of Autonomy (Self-Driving Trucks)
5.2.4 Challenges
5.2.4.1 Machine Learning is Data Driven (Public Acceptance)
5.2.4.2 Cybersecurity and Data Privacy
6 Technological Overview (Page No. - 58)
6.1 Introduction
6.2 Current Use Cases in Global Artificial Intelligence in Transportation Market
6.2.1 Human–Machine Interface
6.2.2 Predictive Maintenance
6.2.3 Autonomous Truck
6.2.4 Truck Platooning
6.2.5 Advanced Driver Assistance System
6.2.6 Precision and Mapping
7 Global Artificial Intelligence in Transportation Market, By Machine Learning Technology (Page No. - 64)
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks), and Region (Asia Oceania. Europe, North America, and RoW)]
7.1 Introduction
7.2 Computer Vision
7.2.1 By Offering
7.2.2 By Application
7.2.3 By Region
7.3 Context Awareness
7.3.1 By Offering
7.3.2 By Application
7.3.3 By Region
7.4 Deep Learning
7.4.1 By Offering
7.4.2 By Application
7.4.3 By Region
7.5 Natural Language Processing
7.5.1 By Offering
7.5.2 By Region
8 Global Market, By Process (Page No. - 74)
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks), and Region (Asia Oceania. Europe, North America, and RoW)]
8.1 Introduction
8.2 Data Mining
8.2.1 By Application
8.2.2 By Region
8.3 Image Recognition
8.3.1 By Application
8.3.2 By Region
8.4 Signal Recognition
8.4.1 By Application
8.4.2 By Region
9 Global Artificial Intelligence in Transportation Market, By Application (Page No. - 81)
[Note: The Chapter is Further Segmented By Process (Data Mining, Image Recognition, and Signal Recognition), Machine Learning Technology (Computer Vision, Context Awareness, Deep Learning, and Natural Language Processing) and Region (Asia Oceania. Europe, North America, and RoW)]
9.1 Introduction
9.2 Autonomous Trucks
9.2.1 By Process
9.2.2 By Machine Learning Technology
9.2.3 By Region
9.3 HMI in Trucks
9.3.1 By Process
9.3.2 By Machine Learning Technology
9.3.3 By Region
9.4 Semi-Autonomous Trucks
9.4.1 By Process
9.4.2 By Machine Learning Technology
9.4.3 By Region
10 Truck Platooning Market for Artificial Intelligence, By Region (Page No. - 90)
[Note: The Chapter is Further Segmented By Offering (Hardware & Software), Region (Asia Oceania. Europe, North America, and RoW)]
10.1 Introduction
10.1.1 By Offering
10.1.2 By Region
10.1.2.1 Asia Oceania
10.1.2.2 Europe
10.1.2.3 North America
10.1.2.4 Rest of the World
11 Global Artificial Intelligence in Transportation Market, By Offering (Page No. - 97)
[Note: The Chapter is Further Segmented By Computing Type (Hardware (Neuromorphic Architecture & Von Neumann Architecture) and Software(Platform & Solutions)), Machine Learning Technology (Computer Vision, Context Awareness, Deep Learning, and Natural Language Processing), and Region (Asia Oceania. Europe, North America, and RoW)]
11.1 Introduction
11.2 Hardware
11.2.1 By Computing Type
11.2.2 By Machine Learning Technology
11.2.3 By Region
11.3 Software
11.3.1 By Computing Type
11.3.2 By Machine Learning Technology
11.3.3 By Region
12 Global Artificial Intelligence in Transportation Market, By Region (Page No. - 105)
[Note: The Chapter is Further Segmented By Application (Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks)
12.1 Introduction
12.2 Asia Oceania
12.2.1 China
12.2.2 India
12.2.3 Japan
12.2.4 South Korea
12.2.5 Rest of Asia Oceania
12.3 Europe
12.3.1 France
12.3.2 Germany
12.3.3 UK
12.3.4 Rest of Europe
12.4 North America
12.4.1 Canada
12.4.2 Mexico
12.4.3 US
12.5 Rest of the World
12.5.1 Brazil
12.5.2 Russia
12.5.3 RoW Others
13 Competitive Landscape (Page No. - 125)
13.1 Introduction
13.2 Artificial Intelligence in Transportation: Market Ranking Analysis
13.2.1 Market Ranking Analysis of OEMS
13.2.2 Market Ranking Analysis of Tier-I Suppliers
13.2.3 Market Ranking Analysis of Software/Service Providers
13.3 Competitive Situation & Trends
13.3.1 Competitive Situation & Trends: Supply Contracts/ Partnerships/Joint Ventures Was the Most Widely Adopted Strategy
13.3.2 Supply Contracts/Partnerships/Joint Ventures
13.3.3 New Product Developments
13.3.4 Expansions
13.3.5 Mergers & Acquisitions
14 Company Profiles (Page No. - 131)
(Overview, Services Offered, Strength of Service Portfolio, Business Strategy Excellence, Recent Developments)*
14.1 Original Equipment Manufacturers (OEMS)
14.1.1 Volvo
14.1.2 Daimler
14.1.3 Scania
14.1.4 Paccar
14.1.5 Man
14.2 Tier-I Suppliers
14.2.1 Continental
14.2.2 Magna
14.2.3 Bosch
14.2.4 Valeo
14.2.5 ZF
14.3 Software Suppliers
14.3.1 Nvidia
14.3.2 Alphabet
14.3.3 Intel
14.3.4 Microsoft
14.4 Start-Up’s
14.4.1 Peloton
14.4.1.1 Funding Details
14.4.2 Nauto
14.4.2.1 Funding Details
14.4.3 Xevo
14.4.3.1 Funding Details
14.4.4 Zonar
14.4.4.1 Funding Details
*Details on Overview, Services Offered, Strength of Service Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.
15 Appendix (Page No. - 179)
15.1 Insights of Industry Experts
15.2 Discussion Guide
15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.4 Introducing RT: Real-Time Market Intelligence
15.5 Available Customizations
15.5.1 Artificial Intelligence Market in Buses, By Application
15.5.1.1 Semi-Autonomous Buses
15.5.1.2 Autonomous Buses
15.5.1.3 HMI in Buses
15.5.2 Artificial Intelligence Market in Buses, By Region
15.5.2.1 Asia Oceania
15.5.2.2 Europe
15.5.2.3 North America
15.5.2.4 RoW
15.5.3 Artificial Intelligence Market in Fleets, By Region
15.5.3.1 Asia Oceania
15.5.3.2 Europe
15.5.3.3 North America
15.5.3.4 RoW
15.6 Related Reports
15.7 Author Details
List of Tables (76 Tables)
Table 1 Currency Exchange Rates (W.R.T. USD)
Table 2 World’s Most Congested Countries, 2016
Table 3 US Department of Transportation's Fatality Analysis Reporting System (Fars).
Table 4 Hours of Service Regulations
Table 5 Key Players in the Global Truck Platooning Market
Table 6 AI in Transportation Market, By Machine Learning Technology, 2016–2030 (USD Million)
Table 7 AI in Transportation Market for Computer Vision, By Offering, 2016–2030 (USD Million)
Table 8 Market for Computer Vision, By Application, 2016–2030 (USD Million)
Table 9 Market for Computer Vision, By Region, 2016–2030 (USD Million)
Table 10 AI in Transportation Market for Context Awareness, By Offering, 2016–2030 (USD Million)
Table 11 Market for Context Awareness, By Region, 2016–2030 (USD Million)
Table 12 Market for Context Awareness, By Region, 2016–2030 (USD Million)
Table 13 AI in Transportation Market for Deep Learning, By Offering, 2016–2030 (USD Million)
Table 14 Market for Deep Learning, By Application, 2016–2030 (USD Million)
Table 15 Market for Deep Learning, By Region, 2016–2030 (USD Million)
Table 16 AI in Transportation Market for Natural Language Processing, By Offering, 2016–2030 (USD Million)
Table 17 Market for Natural Language Processing, By Region, 2016–2030 (USD Million)
Table 18 Market, By Process, 2016–2030 (USD Million)
Table 19 AI in Transportation Market for Data Mining, By Region, 2016–2030 (USD Million)
Table 20 Market for Data Mining, By Region, 2016–2030 (USD Million)
Table 21 AI in Transportation Market for Image Recognition, By Application, 2016–2030 (USD Million)
Table 22 Market for Image Recognition, By Region, 2016–2030 (USD Million)
Table 23 Market for Signal Recognition, By Application, 2016–2030 (USD Million)
Table 24 Market for Signal Recognition, By Region, 2016–2030 (USD Million)
Table 25 AI in Transportation Market, By Application, 2016–2030 (USD Million)
Table 26 Market for Autonomous Trucks, By Process, 2016–2030 (USD Million)
Table 27 Market for Autonomous Trucks, By Machine Learning Technology, 2016–2030 (USD Million)
Table 28 AI in Transportation Market for Autonomous Trucks, By Region, 2016–2030 (USD Million)
Table 29 Market for HMI in Trucks, By Offering, 2016–2030 (USD Million)
Table 30 Market for HMI in Trucks, By Machine Learning Technology, 2016–2030 (USD Million)
Table 31 Market for HMI in Trucks, By Region, 2016–2030 (USD Million)
Table 32 Market for Semi-Autonomous Trucks, By Process, 2016–2030 (USD Million)
Table 33 Market for Semi-Autonomous Trucks, By Machine Learning Technology, 2016–2030 (USD Million)
Table 34 Market for Semi-Autonomous Trucks, By Region, 2016–2030 (USD Million)
Table 35 Truck Platooning Market for Artificial Intelligence, By Offering, 2016–2030 (USD Million)
Table 36 Truck Platooning Market for Artificial Intelligence, By Region, 2016–2030 (‘000 Units)
Table 37 Truck Platooning Market for Artificial Intelligence, By Region, 2016–2030 (USD Million)
Table 38 Asia Oceania: Truck Platooning Market for Artificial Intelligence, By Offering, 2016–2030 (USD Million)
Table 39 Europe: Truck Platooning Market for Artificial Intelligence, By Offering, 2016–2030 (USD Million)
Table 40 North America: Truck Platooning Market for Artificial Intelligence, By Offering, 2016–2030 (USD Million)
Table 41 Rest of the World: Truck Platooning Market for Artificial Intelligence, By Offering, 2016–2030 (USD Million)
Table 42 Global Artificial Intelligence in Transportation Market, By Offering, 2016–2030 (USD Million)
Table 43 Global Market for Hardware, By Computing Type, 2016–2030 (USD Million)
Table 44 Global Market for Hardware, By Machine Learning Technology, 2016–2030 (USD Million)
Table 45 Global Market for Hardware, By Region, 2016–2030 (USD Million)
Table 46 Global Market for Software, By Computing Type, 2016–2030 (USD Million)
Table 47 Market for Software, By Machine Learning Technology, 2016–2030 (USD Million)
Table 48 Market for Software, By Region, 2016–2030 (USD Million)
Table 49 AI in Transportation Market, By Region, 2016–2030 (USD Million)
Table 50 Asia Oceania: Market, By Country, 2016–2030 (USD Million)
Table 51 Asia Oceania: Market, By Application, 2016–2030 (USD Million)
Table 52 China: Market, By Application, 2016–2030 (USD Million)
Table 53 India: Market, By Application, 2016–2030 (USD Million)
Table 54 Japan: Market, By Application, 2016–2030 (USD Million)
Table 55 South Korea: Market, By Application, 2016–2030 (USD Million)
Table 56 Rest of Asia Oceania: Market, By Application, 2016–2030 (USD Million)
Table 57 Europe: Market, By Country, 2016–2030 (USD Million)
Table 58 Europe: Market, By Application, 2016–2030 (USD Million)
Table 59 France: Market, By Application, 2016–2030 (USD Million)
Table 60 Germany: Market, By Application, 2016–2030 (USD Million)
Table 61 UK: Market, By Application, 2016–2030 (USD Million)
Table 62 Rest of Europe: Market, By Application, 2016–2030 (USD Million)
Table 63 North America: Market, By Country, 2016–2030 (USD Million)
Table 64 North America: Market, By Application, 2016–2030 (USD Million)
Table 65 Canada: Market, By Application, 2016–2030 (USD Million)
Table 66 Mexico: Market, By Application, 2016–2030 (USD Million)
Table 67 US: Market, By Application, 2016–2030 (USD Million)
Table 68 Rest of the World: Market, By Country, 2016–2030 (USD Million)
Table 69 Rest of the World: Market, By Application, 2016–2030 (USD Million)
Table 70 Brazil: Market, By Application, 2016–2030 (USD Million)
Table 71 Russia: Market, By Application, 2016–2030 (USD Million)
Table 72 RoW Others: Market, By Application, 2016–2030 (USD Million)
Table 73 Supply Contracts/Partnerships/Joint Ventures, 2017
Table 74 New Product Developments, 2017
Table 75 Expansions, 2016–2017
Table 76 Mergers & Acquisitions, 2016–2017
List of Figures (53 Figures)
Figure 1 Artificial Intelligence in Transportation Market: Research Design
Figure 2 Research Design Model
Figure 3 Breakdown of Primary Interviews
Figure 4 Level of Automation With Addition of Adas Features
Figure 5 Sensor Fusion
Figure 6 Artificial Intelligence in Transportation: Top-Down Approach
Figure 7 Data Triangulation
Figure 8 Market, By Region, 2017 vs 2030 (USD Million)
Figure 9 Market, By Application, 2017 vs 2030 (USD Million)
Figure 10 Market Growth, By Country, 2017-2030 (USD Million)
Figure 11 Market, By Machine Learning Technology, 2017 vs 2030 (USD Million)
Figure 12 Market, By Offering, 2016 - 2030 (USD Million)
Figure 13 Market, By Process, 2017 vs 2022 (USD Million)
Figure 14 Truck Platooning Market for Artificial Intelligence, By Region, 2019 vs 2030 (USD Million)
Figure 15 Increasing Focus Toward Safety, Security, & Operating Cost Efficiency to Drive the Artificial Intelligence in Transportation Market During the Forecast Period
Figure 16 North America to Hold the Largest Share in this Market, 2017 vs 2030 (USD Million)
Figure 17 Software Segment to Hold the Largest Market Size in the Artificial Intelligence in Transportation, 2016—2030 (USD Million)
Figure 18 Deep Learning Technology to Lead in this Market, 2017 vs 2030 (USD Million)
Figure 19 Signal Recognition Process to Lead the Market, By Process, 2016—2030 (USD Million)
Figure 20 Semi-Autonomous Trucks to Have the Largest Share in AI in Transportation Market, 2025 vs 2030 (USD Million)
Figure 21 North America Region to Have the Largest Market Size in the Truck Platooning for Artificial Intelligence Market, 2019—2030 (USD Million)
Figure 22 Artificial Intelligence in Transportation: Market Dynamics
Figure 23 Adoption Trend of Autonomous Vehicles
Figure 24 Truck Platooning: Yearly Co2 Reduction, 2020-2035
Figure 25 Level of Automation
Figure 26 Artificial Intelligence (AI) Adoption
Figure 27 Artificial Intelligence Enabled Transportation
Figure 28 Role of Artificial Intelligence in Transportation Industry
Figure 29 Sae & Nhtsa Vehicle Automation Levels
Figure 30 Global Artificial Intelligence in Transportation Market, By Machine Learning Technology, 2017 vs 2030
Figure 31 Global Market, By Process, 2017 vs 2030 (USD Million)
Figure 32 Global Market, By Application, 2017 vs 2030
Figure 33 North America is Expected to Account for the Largest Market Size in the Truck Platooning Market During the Forecast Period, (USD Million)
Figure 34 AI in Transportation Market, By Offering, 2017 vs 2030
Figure 35 Market for Hardware, By Computing Type, 2017 vs 2030
Figure 36 Market for Software, By Computing Type, 2017 vs 2030
Figure 37 Region-Wise Snapshot of the Global Market: North America Accounts for the Largest Market Share, 2017 vs 2030
Figure 38 Asia Oceania: Market Snapshot
Figure 39 North America: Market Snapshot
Figure 40 Volvo: Company Snapshot
Figure 41 Daimler: Company Snapshot
Figure 42 Scania: Company Snapshot
Figure 43 Paccar: Company Snapshot
Figure 44 Man: Company Snapshot
Figure 45 Continental: Company Snapshot
Figure 46 Magna: Company Snapshot
Figure 47 Bosch: Company Snapshot
Figure 48 Valeo: Company Snapshot
Figure 49 ZF: Company Snapshot
Figure 50 Nvidia: Company Snapshot
Figure 51 Alphabet: Company Snapshot
Figure 52 Intel: Company Snapshot
Figure 53 Microsoft: Company Snapshot
Growth opportunities and latent adjacency in Artificial Intelligence in Transportation Market