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 AS A SERVICE (AIAAS) MARKET BY TECHNOLOGY TYPE
5.1. Introduction
5.2. Machine Learning
5.3. Computer Vision
5.4. Natural Language Processing (NLP)
5.5. Others
6. US ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY DEPLOYMENT TYPE
6.1. Introduction
6.2. Public Cloud
6.3. Private Cloud
6.4. Hybrid Cloud
7. US ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY ENTERPRISE SIZE
7.1. Introduction
7.2. Large Enterprise
7.3. Small and Medium-sized Enterprises (SMEs)
8. US ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY END-USE INDUSTRY
8.1. Introduction
8.2. BFSI
8.3. Retail and E-Commerce
8.4. IT and Telecommunications
8.5. Healthcare
8.6. Manufacturing
8.7. Defense and Government
8.8. Energy and Utilities
8.9. 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. Amazon Web Services
10.2. Microsoft Corporation
10.3. IBM Corporation
10.4. Alphabet Inc.
10.5. Oracle Corporation
10.6. BMC Software, Inc.
10.7. Salesforce, Inc.
10.8. SAP SE
10.9. FICO
10.10. NVIDIA Corporation
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. AbbreviationsLIST OF FIGURESLIST OF TABLES