交通分野における人工知能（AI）の世界市場予測（～2030年）：ディープラーニング、コンピュータビジョン、コンテキストアウェアネス、NLP...市場調査レポートについてご紹介

1 Introduction (Page No. – 17)
1.1 Objectives of the Study
1.2 Market Definition
1.3 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 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 Artificial Intelligence in Transportation Market, By Region
4.3 Artificial Intelligence in Transportation Market, By Offering
4.4 Artificial Intelligence in Transportation Market, By Machine Learning Technology
4.5 Artificial Intelligence in Transportation Market, By Process
4.6 Artificial Intelligence in Transportation Market, By Application
4.7 Truck Platooning Market for Artificial Intelligence, By Region

5 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 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 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 Artificial Intelligence in Transportation 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 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 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 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