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 GENOMICS MARKET BY OFFERING
5.1. Introduction
5.2. Software
5.3. Services
6. US ARTIFICIAL INTELLIGENCE (AI) IN GENOMICS MARKET BY APPLICATION
6.1. Introduction
6.2. Precision medicine
6.3. Diagnosis and prognosis
6.4. Drug discovery and development
6.5. Agriculture and animal breeding
6.6. Others
7. US ARTIFICIAL INTELLIGENCE (AI) IN GENOMICS MARKET BY END-USER
7.1. Introduction
7.2. Pharmaceutical and biotechnology companies
7.3. Academic and research institutes
7.4. Hospitals and diagnostic centers
7.5. 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. IBM
9.2. Sophia Genetics SA
9.3. QIAGEN N.V.
9.4. Fabric Genomics, Inc.
9.5. Congenica Ltd.
9.6. Illumina, Inc.
9.7. Freenome Holdings, Inc.
9.8. Data4cure, Inc.
9.9. Tempus Labs, Inc.
9.10. NVIDIA Corporation
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