1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Transportation Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
8.1. Artificial Intelligence (AI) in Transportation Market, by Offering
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast
8.1.2. Software
8.1.2.1. Market Revenue and Forecast
9.1. Artificial Intelligence (AI) in Transportation Market, by Machine Learning Technology
9.1.1. Deep Learning
9.1.1.1. Market Revenue and Forecast
9.1.2. Deep Learning
9.1.2.1. Market Revenue and Forecast
9.1.3. Context Awareness
9.1.3.1. Market Revenue and Forecast
9.1.4. Context Awareness
9.1.4.1. Market Revenue and Forecast
10.1. Artificial Intelligence (AI) in Transportation Market, by Process
10.1.1. Signal Recognition
10.1.1.1. Market Revenue and Forecast
10.1.2. Object Recognition
10.1.2.1. Market Revenue and Forecast
10.1.3. Data Mining
10.1.3.1. Market Revenue and Forecast
11.1. Artificial Intelligence (AI) in Transportation Market, by Application
11.1.1. Semi Autonomous Truck
11.1.1.1. Market Revenue and Forecast
11.1.2. Truck platooning
11.1.2.1. Market Revenue and Forecast
11.1.3. Predictive maintenance
11.1.3.1. Market Revenue and Forecast
11.1.4. Precision and mapping
11.1.4.1. Market Revenue and Forecast
11.1.5. Autonomous truck
11.1.5.1. Market Revenue and Forecast
11.1.6. Machine human interface
11.1.6.1. Market Revenue and Forecast
11.1.7. Others
11.1.7.1. Market Revenue and Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Offering
12.1.2. Market Revenue and Forecast, by Machine Learning Technology
12.1.3. Market Revenue and Forecast, by Process
12.1.4. Market Revenue and Forecast, by Application
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Offering
12.1.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.1.5.3. Market Revenue and Forecast, by Process
12.1.5.4. Market Revenue and Forecast, by Application
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Offering
12.1.6.2. Market Revenue and Forecast, by Machine Learning Technology
12.1.6.3. Market Revenue and Forecast, by Process
12.1.6.4. Market Revenue and Forecast, by Application
12.2. Europe
12.2.1. Market Revenue and Forecast, by Offering
12.2.2. Market Revenue and Forecast, by Machine Learning Technology
12.2.3. Market Revenue and Forecast, by Process
12.2.4. Market Revenue and Forecast, by Application
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Offering
12.2.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.2.5.3. Market Revenue and Forecast, by Process
12.2.5.4. Market Revenue and Forecast, by Application
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Offering
12.2.6.2. Market Revenue and Forecast, by Machine Learning Technology
12.2.6.3. Market Revenue and Forecast, by Process
12.2.6.4. Market Revenue and Forecast, by Application
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Offering
12.2.7.2. Market Revenue and Forecast, by Machine Learning Technology
12.2.7.3. Market Revenue and Forecast, by Process
12.2.7.4. Market Revenue and Forecast, by Application
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Offering
12.2.8.2. Market Revenue and Forecast, by Machine Learning Technology
12.2.8.3. Market Revenue and Forecast, by Process
12.2.8.4. Market Revenue and Forecast, by Application
12.3. APAC
12.3.1. Market Revenue and Forecast, by Offering
12.3.2. Market Revenue and Forecast, by Machine Learning Technology
12.3.3. Market Revenue and Forecast, by Process
12.3.4. Market Revenue and Forecast, by Application
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Offering
12.3.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.3.5.3. Market Revenue and Forecast, by Process
12.3.5.4. Market Revenue and Forecast, by Application
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Offering
12.3.6.2. Market Revenue and Forecast, by Machine Learning Technology
12.3.6.3. Market Revenue and Forecast, by Process
12.3.6.4. Market Revenue and Forecast, by Application
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Offering
12.3.7.2. Market Revenue and Forecast, by Machine Learning Technology
12.3.7.3. Market Revenue and Forecast, by Process
12.3.7.4. Market Revenue and Forecast, by Application
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Offering
12.3.8.2. Market Revenue and Forecast, by Machine Learning Technology
12.3.8.3. Market Revenue and Forecast, by Process
12.3.8.4. Market Revenue and Forecast, by Application
12.4. MEA
12.4.1. Market Revenue and Forecast, by Offering
12.4.2. Market Revenue and Forecast, by Machine Learning Technology
12.4.3. Market Revenue and Forecast, by Process
12.4.4. Market Revenue and Forecast, by Application
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Offering
12.4.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.4.5.3. Market Revenue and Forecast, by Process
12.4.5.4. Market Revenue and Forecast, by Application
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Offering
12.4.6.2. Market Revenue and Forecast, by Machine Learning Technology
12.4.6.3. Market Revenue and Forecast, by Process
12.4.6.4. Market Revenue and Forecast, by Application
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Offering
12.4.7.2. Market Revenue and Forecast, by Machine Learning Technology
12.4.7.3. Market Revenue and Forecast, by Process
12.4.7.4. Market Revenue and Forecast, by Application
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Offering
12.4.8.2. Market Revenue and Forecast, by Machine Learning Technology
12.4.8.3. Market Revenue and Forecast, by Process
12.4.8.4. Market Revenue and Forecast, by Application
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Offering
12.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.5.3. Market Revenue and Forecast, by Process
12.5.4. Market Revenue and Forecast, by Application
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Offering
12.5.5.2. Market Revenue and Forecast, by Machine Learning Technology
12.5.5.3. Market Revenue and Forecast, by Process
12.5.5.4. Market Revenue and Forecast, by Application
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Offering
12.5.6.2. Market Revenue and Forecast, by Machine Learning Technology
12.5.6.3. Market Revenue and Forecast, by Process
12.5.6.4. Market Revenue and Forecast, by Application
13.1. Volvo
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Daimler
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Scania
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Paccar
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Peloton
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Valeo
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Xevo
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. ZF
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Zonar
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Tier-I Suppliers
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
15.1. About Us
15.2. Glossary of Terms
For questions or customization requests, please reach out to us at sales@precedenceresearch.com
No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client
