The report includes:
- An analysis of the artificial intelligence technology on the stem cell and regenerative therapy market
- Use cases for successful integration of AI, automation and deep learning (DL) technologies in several clinical and preclinical applications of stem cell therapy and regenerative medicine
- Current insights of AI adoption trends across the major geographic regions and key industry verticals
- Review of hinderances caused across key industry verticals and impact on various stages of value chain
- Competitive landscape featuring strategic initiatives, market spendings and VC funding outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Stem Cell and Regenerative Therapy Market- Overview
- Key Use Cases
- Use Case 1: Tissue Engineering
- Use Case 2: Cell Therapy
- Use Case 3: Gene Therapy
- Adoption Trends by Region
- 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
- Use of AI in Stem Cell Culture
- Use of AI in Stem Cell Therapy
- Use of AI in Gene Therapy
- Use of AI in Tissue Engineering
- Impact of AI on Various Stages of the Supply Chain
- Cell Therapy
- Gene Therapy
- Tissue Engineering
- Key Companies Spending on AI
- Venture Capital (VC) Investment for AI in Stem Cell and Regenerative Therapy
- Notable VC Investments
- Abbreviations Used in the Report
Table 1: Representative Deep Learning Models for the Detection and Classification of Different Types of Stem Cells
Table 2: Key Spending by Regenerative Therapy Companies on AI, 2022-2024
Table 3: Key Spending by Companies on AI-Based Regenerative Therapies, 2024 and 2025
Table 4: Abbreviations Used in This Report
List of Figures
Figure 1: AI Preparedness Index, 2023
Figure 2: Applications of AI in Various Stages of Supply Chain

