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 AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning
5.3. Deep Learning
5.4. Computer Vision
5.5. Robotic and Automation
5.6. Others
6. GERMANY AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY APPLICATION
6.1. Introduction
6.2. Climate Change Mitigation
6.3. Energy Management
6.4. Waste Management
6.5. Sustainable Agriculture
6.6. Others
7. GERMANY AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY END-USER
7.1. Introduction
7.2. Energy & Utilities
7.3. Waste Management
7.4. Transportation
7.5. Agriculture
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. Climatiq
9.2. CleanHub
9.3. Concord Blue
9.4. Ecosia
9.5. DFKI4planet
9.6. Lilium
9.7. Green City Solutions
9.8. Makersite
9.9. TNG Technology Consulting GmbH
9.10. Skeleton Technologies
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