1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN TRANSPORTATION MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Deep Learning
5.3. Natural learning process
5.4. Machine Learning
5.5. Others
6. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN TRANSPORTATION MARKET BY DEPLOYMENT
6.1. Introduction
6.2. On-Premise
6.3. Cloud
7. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN TRANSPORTATION MARKET BY APPLICATION
7.1. Introduction
7.2. Route optimization
7.3. Shipping volume prediction
7.4. Predictive Fleet Maintenance
7.5. Real-time Vehicle tracking
7.6. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. BMW Group
9.2. Volkswagen Group
9.3. Daimler (Mercedes-Benz Group)
9.4. Porsche Engineering
9.5. Bosch
9.6. Continental AG
9.7. ZF Friedrichshafen
9.8. Aptiv Germany
9.9. MAN Truck & Bus
9.10. Siemens Mobility
10. APPENDIX
10.1. Currency
10.2. Assumptions
10.3. Base and Forecast Years Timeline
10.4. Key benefits for the stakeholders
10.5. Research Methodology
10.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES