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. AI-DRIVEN HYPOTHESIS GENERATION MARKET BY SOFTWARE
5.1. Introduction
5.2. AI-Powered Literature Mining Tools
5.3. Graph-Based Hypothesis Generation Platforms
5.4. Domain-Specific Predictive Modeling Tools
5.5. Multimodal AI Platforms
5.6. Others
6. AI-DRIVEN HYPOTHESIS GENERATION MARKET BY DEPLOYMENT MODE
6.1. Introduction
6.2. Cloud-Based
6.3. On-Premise
7. AI-DRIVEN HYPOTHESIS GENERATION MARKET BY APPLICATION AREA
7.1. Introduction
7.2. Drug Discovery & Life Sciences
7.3. Healthcare & Diagnostics
7.4. Materials & Chemical Research
7.5. Financial & Business Analytics
7.6. Academic
8. AI-DRIVEN HYPOTHESIS GENERATION MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. USA
8.2.2. Canada
8.2.3. Mexico
8.3. South America
8.3.1. Brazil
8.3.2. Argentina
8.3.3. Others
8.4. Europe
8.4.1. United Kingdom
8.4.2. Germany
8.4.3. France
8.4.4. Spain
8.4.5. Others
8.5. Middle East and Africa
8.5.1. Saudi Arabia
8.5.2. UAE
8.5.3. Others
8.6. Asia Pacific
8.6.1. China
8.6.2. Japan
8.6.3. India
8.6.4. South Korea
8.6.5. Taiwan
8.6.6. 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. Google LLC
10.2. Microsoft Corporation
10.3. IBM Corporation
10.4. Iris.ai AS
10.5. SciBite Limited (Elsevier)
10.6. Akaike Technology Private Limited
10.7. Ontotext AD
10.8. BenevolentAI Limited
10.9. Causly
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