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. US ARTIFICIAL INTELLIGENCE ENGINEERING MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Deep Learning
5.3. Machine Learning
5.4. Natural Language Processing
5.5. Computer Vision
6. US ARTIFICIAL INTELLIGENCE ENGINEERING MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.3. On-Premise
7. US ARTIFICIAL INTELLIGENCE ENGINEERING MARKET BY SOLUTION
7.1. Introduction
7.2. Software
7.3. Services
7.4. Hardware
8. US ARTIFICIAL INTELLIGENCE ENGINEERING MARKET BY END-USER
8.1. Introduction
8.2. Automotives
8.3. Communications
8.4. Manufacturing
8.5. Healthcare
8.6. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Intel Corporation
10.2. Microsoft Corporation
10.3. Oracle Corporation
10.4. IBM Corporation
10.5. NVIDIA Corporation
10.6. People.ai Inc
10.7. Cisco Systems
10.8. Verint Systems
10.9. Salesforce
10.10. Siemens AG
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES