Comprehensive Data Insight: 1,087 Patents Analyzed with Market Sales Data and Growth Rates
The AI-driven drug discovery report provides a detailed patent landscape analysis, reviewing 1,087 patents from a range of primary jurisdictions, with data from both patent filings and market sales insights. It combines quantitative and qualitative data, offering a reliable data foundation that includes patent applications, technology trends, and market sales growth rates. This multifaceted approach enables a thorough understanding of the current market position, potential growth areas, and emerging technological advancements in AI-driven drug discovery.
The report is divided into key sections, each providing insights into critical aspects of the AI-driven drug discovery industry. The primary sections include the Landscape Overview, Market Analysis, Technology Analysis, and Top Player Analysis, each of which contributes a unique perspective to support strategic decisions in R&D, investment, and competitive positioning.
Landscape Overview
The landscape overview provides a comprehensive snapshot of the patent landscape within AI-driven drug discovery, tracking patent activity from 2002 to 2024. A clear upward trend in patent filings is observed, with a substantial increase in recent years, indicating accelerated innovation and investment in this field. The United States leads with the highest number of patents, followed by China and Europe, emphasizing the global focus and cross-regional competition. The overview section also covers trends in patent ownership, highlighting both established players and emerging entities, which suggests a competitive and evolving field with new entrants continually contributing to AI-driven drug discovery.
Market Analysis Section
The market analysis section delves into the commercial side of AI-driven drug discovery, focusing on market sales data and projected growth rates. By examining patenting activity alongside market sales data, this section reveals the alignment between technological innovation and market demand. The analysis highlights the market’s current trajectory and offers insights into potential growth opportunities, emphasizing regions with significant R&D investment. The report’s market analysis sheds light on key areas where AI-driven drug discovery is poised for expansion, helping stakeholders understand both current market dynamics and areas with the highest commercial potential.
Technology Analysis Section
In the technology analysis section, the report reviews core technological domains within AI-driven drug discovery, such as ICT applications for bioinformatics, machine learning for drug development, and biological computing models. Each technology domain is evaluated for its role in advancing drug discovery methods, such as molecule targeting, pattern recognition, and efficacy testing. This section identifies leading-edge technologies driving innovation and highlights areas with high patenting activity, signaling where future R&D efforts may concentrate. By examining these specific domains, the technology analysis section equips stakeholders with insights into the technical underpinnings that are shaping the future of AI-driven drug discovery.
Top Player Section
The top player section offers a closer look at the leading organizations and institutions in the field, such as the University of California, Peptilogics, Genentech, MIT, and Harvard University. Each top player is reviewed based on their patent contributions, strategic focus, and technological developments within AI-driven drug discovery. For example, Peptilogics stands out with its Nautilus™ AI platform for peptide therapeutics, while Genentech is highlighted for its collaboration with NVIDIA, integrating AI for enhanced molecular design. This section also explores collaborations and partnerships among these players, showcasing how strategic alliances are accelerating technological advancements and expanding the scope of AI applications in drug discovery.
Overall, the report provides a holistic view of AI-driven drug discovery, from market trends and technological innovations to competitive dynamics. Each section complements the others to create a cohesive narrative on the state and direction of the AI-driven drug discovery industry, making it a valuable resource for decision-makers in R&D, policy, and investment. By integrating patent data, market insights, and a close examination of technology and top players, this report serves as a robust guide for stakeholders aiming to understand and capitalize on this rapidly evolving field.
What You Will Get:
- 90+ Pages PDF Full Report
- 40+ Pages PDF Slides
- Excel File of each figure including extended data
People Who Might Be Interested in the Report:
- Chief Marketing Officer
- Business Development Professionals
- Corporate Strategy Executives
- R&D and Innovation Officers
- Investment Analysts
- Product Managers
- Marketing Directors
- Sales Directors
- Vice President - Sales
- Vice President - Marketing
- Heads of Marketing
- Analysts
- Corporate Planning Professionals
- Product Marketing Managers
- Market Intelligence Experts
- Heads of Innovation
- Strategy Heads
- Chief Operating Officers
- Business Analysts
- Sales Consultants
Academics
Table of Contents
1. Key Findings
1.1 Executive Summary
1.2 Introduction
2. Patent Landscape Overview
2.1. Patent Family Analysis
2.2. Patent-Market Coverage
2.3. Geographical Jurisdiction
3. Market and Competitor Analysis
3.1. Market at a Glance
3.2. Market Share of Main Players
3.3. Main Products in AI-Driven Drug Discovery
3.4. Top Applicants
3.5. Market Coverage of Top Applicants
3.6. Top Owners
3.7. Highly-Cited Applicants
3.8. Collaboration
3.8.1. Top Ten Applicants’ Collaborations
3.8.2. The Strongest Cooperation Networks
3.9. Top Applicant Activity
3.10. Pioneer Companies in the Last 5 Years
3.11. Top Applicant Clustering
3.12. Pending Patents
4. Technology Analysis
4.1. Top Technologies
4.1.1. Top Technologies by Class
4.1.2. Top Technologies by Sub-Class
4.1.3. Top Technologies by Main-Group
4.1.4. Top Technologies by Sub-Group
4.1.5. Top Technologies and Main Trends
4.2. Five Recent Dominant Technologies
4.3. Key Patents
4.4. Main Themes of Patents
4.5. Technology Clustering
4.6. Top Inventors
5. Key Players’ Patent Profile
5.1. California University
5.1.1. California University Overview
5.1.2. Patent Family Analysis
5.1.3. Key Processes and Technologies
5.1.4. Top Technologies
5.1.5. Collaboration
5.1.6. Mergers and Acquisitions
5.1.7. Key Patents
5.1.8. Topic Modeling
5.1.9. Patents Clustering
5.2. Peptilogics Inc
5.2.1. Peptilogics Inc Overview
5.2.2. Patent Family Analysis
5.2.3. Key Processes and Technologies
5.2.4. Top Technologies
5.2.5. Mergers and Acquisitions
5.2.6. Key Patents
5.2.7. Topic Modeling
5.2.8. Patents Clustering
5.3. Genentech Inc
5.3.1. Genentech Inc Overview
5.3.2. Patent Family Analysis
5.3.3. Key Processes and Technologies
5.3.4. Top Technologies
5.3.5. Collaboration
5.3.6. Mergers and Acquisitions
5.3.7. Key Patents
5.3.8. Topic Modeling
5.3.9. Patents Clustering
5.4. Massachusetts Institute of Technology
5.4.1. Massachusetts Institute of Technology Overview
5.4.2. Patent Family Analysis
5.4.3. Key Processes and Technologies
5.4.4. Top Technologies
5.4.5. Collaboration
5.4.6. Mergers and Acquisitions
5.4.7. Key Patents
5.4.8. Topic Modeling
5.4.9. Patents Clustering
5.5. Harvard College
5.5.2. Patent Family Analysis
5.5.3. Key Processes and Technologies
5.5.4. Top Technologies
5.5.5. Collaboration
5.5.6. Mergers and Acquisitions
5.5.7. Key Patents
5.5.8. Topic Modeling
5.5.9. Patents Clustering
Executive Summary
The report provides a comprehensive patent landscape for AI-driven drug discovery, analyzing 1,087 patents from 2002 to 2024. Recent years have shown a surge in patent filings, with a notable increase in pending patents, reflecting strong growth potential in this field. The United States leads with 465 patents, followed by China with 173, underscoring the global dominance of these markets. Europe shows growth as well, though at a slower pace.
The report identifies key technological domains, including ICT applications for biostatistics and bioinformatics, computing models based on biological structures, and machine learning for drug development. These technologies facilitate advanced drug discovery methods, such as pattern finding, molecule targeting, and efficacy optimization, all crucial for modern biopharmaceutical research.
Top industry players include the University of California, Peptilogics, Genentech, MIT, and Harvard University, each focusing on specific AI applications in drug discovery. For instance, Peptilogics leverages its Nautilus™ AI platform for peptide therapeutics, while Genentech has advanced collaborations with NVIDIA for AI-enhanced molecular design.
Collaboration is a pivotal trend, with strategic partnerships driving technological advancement and market expansion. Examples include Genentech’s work with NVIDIA to integrate supercomputing into AI-driven drug discovery. These partnerships help entities expand their technological reach and accelerate drug development timelines.
The report serves as a vital resource for companies and policymakers, offering insights into patent trends, key technologies, and competitive dynamics. It supports R&D, investment strategy, and policy formulation by highlighting areas of technological growth and collaboration opportunities, promoting innovation in AI-driven drug discovery.
Companies Mentioned
Companies mentioned in the report include:
- Peptilogics Inc.
- University of California
- Genentech Inc.
- Insilico Medicine
- Exscientia
- BenevolentAI
- Schrödinger, Inc.
- Atomwise
- Microsoft Corporation (Healthcare & Life Sciences)
- NVIDIA Corporation
- Z Advanced Computing Inc.
- University of Miami
- RowAnalytics Ltd.
- HeartFlow Inc.
- Ginkgo Bioworks
- Reverie Labs
- Accutar Biotechnology
- Evommune
- Novoheart Ltd.
- Chan Zuckerberg Biohub Inc.
- Unity Health Toronto
- EpiAxis Therapeutics
- Orion Biotechnology
- Hoffmann-La Roche
- Berenberg Daniel
- Watkins Andrew Martin
- New York University
- Jecure Therapeutics
- Seragon Pharmaceuticals
- Tanox Inc.
Products/services mentioned in the report include:
- Nautilus™ AI Platform
- Centaur Chemist
- Pharma.AI
- SPARROW Algorithm
- GRAIL AI Platform
- AtomNet technology
