AI Gene Editing Tools Market (2025-2030)
What are AI Gene Editing Tools?
AI Gene Editing leverages artificial intelligence to revolutionize genomic editing by optimizing techniques such as CRISPR-Cas, TALENs, and ZFNs. These technologies enhance precision, reduce off-target effects, and accelerate the discovery of therapeutic gene modifications. AI integrates machine learning, predictive analytics, and data management to facilitate seamless and accurate gene editing workflows across various applications in healthcare and biotechnology.
AI Gene Editing is transforming the field of genomics with new methods for precision medicine, easy-to-use predictive tools, safe reduction of errors in gene modifications, and big impacts on therapeutic advancements. This disruption offers unprecedented opportunities in personalized medicine, disease prevention, and agricultural biotechnology.
Key Market Players
Case Study:
Genie by Cosine utilized its AI-driven gene editing platform to optimize CRISPR applications in rare genetic disorders, reducing off-target effects by 60%. This breakthrough enabled faster preclinical trials and improved patient-specific treatment strategies.
Popularity, Related Activities, and Key Statistics
Market Segmentation:
By Type
By End User
What’s in It for You?
AI Gene Editing Tools Market Analysis
1. AI Gene Editing Tools Market - Scope & Methodology
1.1. Market Overview
1.2. Market Segmentation
1.3. Assumptions & Limitations
1.4. Research Methodology
1.5. Primary Sources & Secondary Sources
1.6. Market Voice – Key Opinion Leaders
2. Executive Summary
2.1 Market Size & Forecast – (2025 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.2.1 Demand Side
2.2.2 Supply Side
2.3 Attractive Investment Propositions
2.4 COVID-19 Impact Analysis
3. Competition Scenario
3.1. Market Share Analysis
3.2. Company Benchmarking
3.3. Competitive Strategy & Development Scenario
3.4. Competitive Pricing Analysis
3.5. Supplier & Distributors Analysis
4. Entry Scenario
4.1 Regulatory Scenario
4.2 Case Studies – Key Start-ups
4.3 Customer Analysis
4.4 PESTLE Analysis
4.5 Porters Five Force Model
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Powers of Customers
4.5.3 Threat of New Entrants
4.5.4 Rivalry among Existing Players
4.5.5 Threat of Substitutes
5. Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Key 10 Market Impact Factors
5.3. Market Drivers
5.4. Market Restraints/Challenges
5.5. Market Opportunities
6. By Type
6.1. AI-Driven Gene Editing Tools
6.1.1. CRISPR-Cas Systems Optimization
6.1.2. TALENs-Based Editing Platforms
6.1.3. Zinc Finger Nucleases (ZFNs) Modeling
6.2. Gene Target Prediction Solutions
6.2.1. Genomic Data Analysis and Insights
6.2.2. Off-Target Effect Prediction Systems
6.3. Automated Workflow Integration
6.3.1. High-Throughput Gene Editing
6.3.2. AI-Based Cell Line Engineering
6.4. Functional Genomics Analysis
6.4.1. AI-Assisted Phenotype Prediction
6.4.2. Disease-Specific Gene Modification
6.5. Data Management and Analysis Platforms
6.5.1. AI-Powered Bioinformatics Tools
6.5.2. Machine Learning for Genomic Dataset Interpretation
7. By End User
7.1. Biotechnology and Pharmaceutical Companies
7.1.1. Gene Therapy Development Firms
7.1.2. Drug Discovery and Development Teams
7.2. Academic and Research Institutions
7.2.1. Genomic Research Centers
7.2.2. Public and Private Universities
7.3. Contract Research Organizations (CROs)
7.4. Government and Regulatory Bodies
7.4.1. Public Health Genomic Programs
7.4.2. Policy and Ethical Oversight Agencies
7.5. Clinical Laboratories
7.5.1. Diagnostics Development
7.5.2. Personalized Medicine Initiatives
7.6. Technology Providers
7.6.1. AI Software Development Companies
7.6.2. Genomic Data Platform Providers
8. By Geography
8.1. North America
8.1.1. U.S.A.
8.1.2. Canada
8.1.3. Mexico
8.2. Europe
8.2.1. U.K.
8.2.2. Germany
8.2.3. France
8.2.4. Italy
8.2.5. Spain
8.2.6. Rest of Europe
8.3. Asia Pacific
8.3.1. China
8.3.2. Japan
8.3.3. South Korea
8.3.4. India
8.3.5. Australia & New Zealand
8.3.6. Rest of Asia-Pacific
8.4. South America
8.4.1. Brazil
8.4.2. Argentina
8.4.3. Colombia
8.4.4. Chile
8.4.5. Rest of South America
8.5. Middle East & Africa
8.5.1. United Arab Emirates (UAE)
8.5.2. Saudi Arabia
8.5.3. Qatar
8.5.4. Israel
8.5.5. South Africa
8.5.6. Nigeria
8.5.7. Kenya
8.5.8. Egypt
8.5.9. Rest of MEA
9. Company Profiles
9.1. AutoGPT
9.2. Devin AI by Cognition
9.3. Genie by Cosine
9.4. Paradigm AI
9.5. Agent.ai
9.6. Play.ai
9.7. AutoGen
9.8. Devika AI
9.9. Momen
9.10. Godmode
9.11. Magentic-One
9.12. MultiOn
2500
4250
5250
6900
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