Strategic Intelligence: AI in drug discovery
Summary
In recent years, the pharma industry has been taken over by a wave of digital transformation, leading to the integration of advanced technologies across different aspects of the pharma value chain.
Artificial intelligence (AI) and big data are at the forefront of driving innovation, from enhancing drug discovery to optimizing clinical trial design.
The drug discovery process is a very expensive and time-consuming process. Despite recent technological advancements, the success rate of research and development (R&D) is very low, adding emphasis to the need for innovative technologies, such as AI, to improve efficiency and outcomes.
This report consolidates GlobalData’s latest thinking and forecasts around how the healthcare, macroeconomic, technology, and regulatory trends will impact the AI in drug discovery, as well as providing insights into the leading players and future disruptors across the value chain, and providing insights into key drugs and markets from GlobalData’s Pharma Intelligence Center. Additionally, this report is designed to provide strategic planners, competitive intelligence professionals and key stakeholders in the pharmaceutical industry a clear view of the opportunities and risks over the foreseeable future for AI.
Scope
- A dedicated report examining the pivotal healthcare, technological, macroeconomic, and regulatory trends shaping the AI-driven drug discovery landscape. This report also provides an in-depth analysis of how these trends are poised to either accelerate progress or create obstacles for the growth of the AI in drug discovery market.
- Understand the key trends accelerating or hindering the AI in drug discovery space.
- See market forecasts for different therapies within AI up to 2028.
- Understand recent and influential developments in AI.
- Review of leaders and disruptors across the AI value chain.
- Executive Summary
- Players
- Table Figure 1: Examples of leading players in AI in drug discovery and place in the value chain
- Thematic Briefing
- What is AI?
- Advanced AI capabilities
- Table Figure 2: The five categories of advanced AI capabilitiesp
- AI in drug discovery
- Trends
- Healthcare trends
- Table Healthcare trends
- Technology trends
- Table The key technology trends impacting AI in drug discovery
- Macroeconomic trends
- Table The key macroeconomic trends impacting AI in drug discovery
- Regulatory trends
- Table The key regulatory trends impacting AI in drug discovery
- Healthcare trends
- Industry Analysis
- Market size and growth forecasts
- Table Figure 3: Global AI platform, hardware, and consulting and support services revenue in pharma, 2019-28
- Analysis of drugs discovered using AI
- Table Figure 4: Top companies by number of drugs developed using AI-based technologies
- Table Figure 5: Breakdown of drugs by therapy area
- Table Drugs in clinical development and includes information
- Survey data on the adoption of AI in pharma
- Table Figure 6: Pharma companies' confidence level in AI within the pharma industry
- Table Figure 7: AI can benefit different aspects of the pharmaceutical value chain.
- AI in Drug Discovery key opinion leader research
- Challenges associated with traditional drug discovery
- How AI is used to address the challenges of drug discovery
- Limitations of the use of AI in drug discovery
- The role of AI over the next five to 10 years
- Current AI-driven drug discovery market trend
- The most critical stage of AI in drug discovery
- Key Lessons from working with AI in drug discovery.
- Market size and growth forecasts
- Deals
- Strategic alliances
- Table Strategic alliances
- Funding
- Table Top VC deals associated with AI in drug discovery announced from June 2022 to August 2024
- M&A
- Table M&A
- Case Studies
- Exscientia and AWS Provide an Innovative Approach to Drug Discovery
- Predictive Oncology Employs Innovative 3D Cell Technology to Develop Cancer Therapies
- Eurofins Discovery's New AI-Driven Platform Accurately Predicts ADMET Properties of Molecules
- 1910 Genetics Collaborates with Microsoft to Bring Change to Drug Discovery
- Dyno Therapeutics to Use Nvidia's BioNeMo to Improve Drug Discovery of Gene Therapies
- ImmunitoAI's AI Platform to Enhance Antibody-Based Drug Discovery
- Standigm Partner with Institut Pasteur Korea to Develop a New Drug for Resistant Tuberculosis
- Selection of a New Heart Failure Target Shows Continued Success Between BenevolentAI and AstraZeneca
- Social media trends
- Table Figure 8: Top Influencer trends related to AI
- Table Figure 9: Top influencer posts related to AI and drug discovery, 2024
- Strategic alliances
- Value Chain
- Table Figure 10: AI in drug discovery value chain
- Target identification and validation
- Table Target identification and validation
- Table Figure 11: Examples of leaders and challengers in target identification and validation
- Table The time taken to identify novel drug targets.
- Clinical trials
- Table Figure 12: The use of AI in clinical trials
- Table Figure 13: Examples of leaders and challengers in target identification and validation
- Drug repurposing
- Table Figure 14: Examples of leaders and challengers in drug repurposing
- Table The different platforms and libraries used for drug repurposing
- Companies
- Leading AI technology vendors
- Table The leading technology players within the AI in drug discovery theme and summarizes their competitive position
- Specialist AI vendors in drug discovery
- Table The specialist AI vendors in drug discovery and summarizes their competitive position
- Leading pharma adopters of AI in drug discovery
- Table The leading adopters of AI in drug discovery and summarizes their competitive position
- Leading AI technology vendors
- Sector Scorecards
- Drug development sector scorecard
- Who's who
- Table Figure 15: Who does what in the drug development space?
- Thematic screen
- Table Figure 16: Our thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance
- Valuation screen
- Table Figure 17: Our valuation screen ranks our universe of companies within a sector based on selected valuation metrics
- Risk screen
- Table Figure 18: Our risk screen ranks companies within a particular sector based on overall investment risk
- Who's who
- Drug development sector scorecard
- Abbreviations
- Table Abbreviations
- Bibliography
- Further Reading
- GlobalData reports
- Table GlobalData reports
- GlobalData reports
- Our Thematic Research Methodology
Research Assistance
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