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 (AI) IN SEMICONDUCTOR MARKET BY CHIP TYPE
5.1. Introduction
5.2. Central Processing Unit (CPU)
5.3. Graphics Processing Unit (GPU)
5.4. Field-Programmable Gate Arrays (FGPAs)
5.5. Application-Specific Integrated Circuits (ASICs)
5.6. Tensor Processing Units (TPUs)
6. US ARTIFICIAL INTELLIGENCE (AI) IN SEMICONDUCTOR MARKET BY APPLICATION
6.1. Introduction
6.2. AI Training
6.3. AI Inference
6.4. Edge AI
6.5. Cloud AI
6.6. Others
7. US ARTIFICIAL INTELLIGENCE (AI) IN SEMICONDUCTOR BY END-USE
7.1. Introduction
7.2. Healthcare
7.3. Automotive
7.4. Consumer Electronics
7.5. Industrial Automation
7.6. Banking and Finance
7.7. 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. Google LLC
9.2. IBM
9.3. Microsoft Corporation
9.4. NVIDIA Corporation
9.5. Intel Corporation
9.6. Qualcomm Technologies, Inc.
9.7. Advanced Micro Devices, Inc.
9.8. Amazon Web Services, Inc.
9.9. Micron Technology
9.10. Marvell
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