This 63-page report gives important, expert insight you won’t find in any other source. A total 28 figures throughout the report illustrate major points and trends. This report is required reading for -
- Manufacturing, sourcing, and procurement executives within pharma companies and contract development and manufacturing organizations (CDMOs), who must have a deep understanding of artificial intelligence's applications to make strategic planning, investment, and partnering decisions.
- Investors, especially private equity, seeking a deeper understanding of the pharmaceutical manufacturing market to identify and value potential investment targets.
- Artificial intelligence and data services vendors, who must understand how this technology can benefit the pharmaceutical manufacturing sector.
Reasons to Buy
- A detailed survey of pharmaceutical industry Key Opinion Leaders
- Clear explanations of artificial intelligence and related terminology
- Detailed analysis of current AI adoption in the pharmaceutical manufacturing sector
- Assessment of experts' attitudes to AI adoption in the near future in the pharmaceutical manufacturing sector
- Guide to practical, regulatory, and ethical challenges to increased AI use in pharmaceutical manufacturing
- A detailed breakdown of the US Food and Drug Administration's stance on AI
- Broader context of AI use in non-manufacturing sectors of pharma
Table of Contents
- Executive Summary
- What is AI?
- AI as an Emerging Pharmaceutical Technology
- Study Design
- AI in Pharmaceutical Manufacturing - Current Use
- AI in Pharmaceutical Manufacturing - Future Considerations
- AI in Manufacturing - Regulatory and Ethical Challenges
- The Generative AI Question
- AI Disruption in the Broader Pharma Industry
- Summary of Key Findings
- Appendix
- Contact the Publisher
- Figure 1: AI as an Emerging Technology in the Past Four Years
- Figure 2: Looking to the Near Future: AI in the Next Two Years
- Figure 3: Headquarters location
- Figure 4: Seniority level and headquarters
- Figure 5: Primary business model and Practice Location
- Figure 6: AI Use in Pharmaceutical Manufacturing - By Company Type
- Figure 7: AI Use in Pharmaceutical Manufacturing - By Geography
- Figure 8: AI Use by Partners or Customers
- Figure 9: Types of AI - Pharmaceutical Manufacturing (I)
- Figure 10: Types of AI - Pharmaceutical Manufacturing (II)
- Figure 11: AI Implementation Pathway
- Figure 12: Areas of Pharma Manufacturing that AI Could Help With (I)
- Figure 13: Areas of Pharma Manufacturing that AI Could Help With (II)
- Figure 14: Challenges for Using AI in Pharmaceutical Manufacturing
- Figure 15: Pharma Manufacturing Regulation and AI
- Figure 16: The FDA’s Stance: Is Risk-Based Regulation Applicable to AI in Drug Manufacturing?
- Figure 17: What Is Generative AI?
- Figure 18: Generative AI Use in Pharmaceutical Manufacturing
- Figure 19: Generative AI Use in Pharmaceutical Manufacturing (II)
- Figure 20: Generative AI Use in Pharmaceutical Manufacturing (III)
- Figure 21: AI - Technology That Will Disrupt the Pharma Industry
- Figure 22: AI - Hiring Trends
- Figure 23: Pharmaceutical Industry Prioritizes AI for Future Investments
- Figure 24: Annual company reports with AI mentions
- Figure 25: AI sentiment - annual reports
- Figure 26: AI in Manufacturing (1/3)
- Figure 27: AI in Manufacturing (2/3)
- Figure 28: AI in Manufacturing (3/3)
