The report includes:
- Impact analysis of artificial intelligence (AI) on the global gene transfer technologies market
- Case studies for successful integration of AI and machine learning in vector design, gene delivery optimization, target identification and clinical development
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key gene therapy, biotechnology and pharmaceutical industry verticals
- AI’s role in therapeutic development, precision medicine, workflow automation and clinical decision-making
- Review of AI impact on the various stages of the global gene transfer technologies value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Gene Transfer Technologies Market- Overview
- Key Use Cases
- Case Study 1: Launch of mRNA Vaccines
- Case Study 2: AI-Designed AAV vectors
- Adoption Trends at the Geography Level
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Impact of AI on Key Industry Verticals
- Viral Vectors
- Non-Viral Vectors
- Impact of AI on Various Stages of the Supply Chain
- Vector Designing
- Vector Production
- Gene Editing
- Key Companies Spending on AI
- Venture Capital (VC) Investment for AI in Gene Transfer Technologies
- Abbreviations Used in the Report
Table 1: AI Adoption in Gene Transfer Technologies, by Organization
Table 2: Key Companies Spending on AI in Gene Therapy, 2024-2026
Table 3: Selected Venture Capital Investments for AI in Gene Therapy
Table 4: Abbreviations Used in This Report
List of Figures
Figure 1: Impact of AI on Key Industry Verticals in Gene Transfer Technologies
Figure 2: Application of AI Across Various Stages of the Supply Chain

