Global AI trends in Pharmaceutical Manufacturing

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

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

List of Figures

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)

Global AI trends in Pharmaceutical Manufacturing

Description

Table of Contents

List of Tables

Abstract

Reasons to Buy

Table of Contents

Table of Contents

Appendix

List of Figures

List of Figures