Global Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Technology
Global Genome Editing/Genome Engineering Market Revenue (US$ Mn) Based on Products
Global Genome Editing/Genome Engineering Market Revenue (US$ Mn) Based on Application
Global Genome Editing/Genome Engineering Market Revenue (US$ Mn) Based on End Users
Global Genome Editing/Genome Engineering Market Revenue (US$ Mn) Based on Region
Europe Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Country
North America Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Country
Asia Pacific Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Country
Latin America Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Country
Middle East & Africa Genome Editing/Genome Engineering Market Revenue (US$ Mn) by Country
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Genome Editing/Genome Engineering Market Snapshot
Chapter 4. Global Genome Editing/Genome Engineering Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Industry Analysis – Porter’s Five Forces Analysis
4.6. Competitive Landscape & Market Share Analysis
4.7. Major Investment, Partnerships and Collaborations in Genomics Research
Chapter 5. Market Segmentation 1: By Technology Estimates & Trend Analysis
5.1. By Technology & Market Share, 2020 & 2028
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2028 for the following By Technology:
5.2.1. CRISPR
5.2.2. TALEN
5.2.3. ZFN
5.2.4. Antisense
5.2.5. Other Technologies
Chapter 6. Market Segmentation 2: Product Estimates & Trend Analysis
6.1. Product Type & Market Share, 2020 & 2028
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2028 for the following Product Type:
6.2.1. Reagents & Consumables
6.2.2. Software & Systems
6.2.3. Services
Chapter 7. Market Segmentation 3: Application Estimates & Trend Analysis
7.1. Application Type & Market Share, 2020& 2028
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2028 for the following Application Type:
7.2.1. Animal Genetic Engineering
7.2.2. Plant Genetic Engineering
7.2.3. Diagnostic Applications
7.2.4. Drug Discovery & Development
7.2.5. Other
Chapter 8. Market Segmentation 4: End-Users Estimates & Trend Analysis
8.1. End-Users & Market Share, 2020 & 2028
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2028 for the following End-Users:
8.2.1. Pharmaceutical Companies
8.2.2. Biotechnology Companies
8.2.3. Academic & Government Research Institutes
Chapter 9. Genome Editing/Genome Engineering Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Genome Editing/Genome Engineering Market revenue (US$ Million) estimates and forecasts by By Technology, 2020-2028
9.1.2. North America Genome Editing/Genome Engineering Market revenue (US$ Million) estimates and forecasts by Product, 2020-2028
9.1.3. North America Genome Editing/Genome Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2028
9.1.4. North America Genome Editing/Genome Engineering Market revenue (US$ Million) estimates and forecasts by End-Users, 2020-2028
9.1.5. North America Genome Editing/Genome Engineering Market revenue (US$ Million) estimates and forecasts by country, 2020-2028
9.2. Europe
9.2.1. Europe Genome Editing/Genome Engineering Market revenue (US$ Million) by By Technology, 2020-2028
9.2.2. Europe Genome Editing/Genome Engineering Market revenue (US$ Million) by Product, 2020-2028
9.2.3. Europe Genome Editing/Genome Engineering Market revenue (US$ Million) by Application, 2020-2028
9.2.4. Europe Genome Editing/Genome Engineering Market revenue (US$ Million) by End-Users, 2020-2028
9.2.5. Europe Genome Editing/Genome Engineering Market revenue (US$ Million) by country, 2020-2028
9.3. Asia Pacific
9.3.1. Asia Pacific Genome Editing/Genome Engineering Market revenue (US$ Million) by By Technology, 2020-2028
9.3.2. Asia Pacific Genome Editing/Genome Engineering Market revenue (US$ Million) by Product, 2020-2028
9.3.3. Asia Pacific Genome Editing/Genome Engineering Market revenue (US$ Million) by Application, 2020-2028
9.3.4. Asia Pacific Genome Editing/Genome Engineering Market revenue (US$ Million) by End-Users, 2020-2028
9.3.5. Asia Pacific Genome Editing/Genome Engineering Market revenue (US$ Million) by country, 2020-2028
9.4. Latin America
9.4.1. Latin America Genome Editing/Genome Engineering Market revenue (US$ Million) by By Technology, (US$ Million)
9.4.2. Latin America Genome Editing/Genome Engineering Market revenue (US$ Million) by Product, (US$ Million)
9.4.3. Latin America Genome Editing/Genome Engineering Market revenue (US$ Million) by Application, (US$ Million)
9.4.4. Latin America Genome Editing/Genome Engineering Market revenue (US$ Million) by country, (US$ Million) 2020-2028
9.5. Middle East & Africa
9.5.1. Middle East & Africa Genome Editing/Genome Engineering Market revenue (US$ Million) by By Technology, (US$ Million)
9.5.2. Middle East & Africa Genome Editing/Genome Engineering Market revenue (US$ Million) by Product, (US$ Million)
9.5.3. Middle East & Africa Genome Editing/Genome Engineering Market revenue (US$ Million) by Application, (US$ Million)
9.5.4. Middle East & Africa Genome Editing/Genome Engineering Market revenue (US$ Million) by country, (US$ Million) 2020-2028
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Thermo Fisher Scientific Inc.
10.2.2. Merck & Co. Inc
10.2.3. Horizon Discovery group plc
10.2.4. Genscript biotech corporation
10.2.5. Sangamo Therapeutics Inc.
10.2.6. lonza group ltd
10.2.7. Editas Medicine Inc
10.2.8. Crispr Therapeutics
10.2.9. Eurofins Scientific Inc
10.2.10. Precision Biosciences Inc
10.2.11. Oxford Genetics Ltd.
10.2.12. Intellia Therapeutics Inc
10.2.13. Synthego corporation
10.2.14. Vigene Biosciences Inc
10.2.15. Epigenie
10.2.16. Integrated DNA Technologies Inc
10.2.17. New England Biolabs Inc
10.2.18. Origene Technologies Inc
10.2.19. Transposagen Biopharmaceuticals Inc
10.2.20. Creative Biogene Inc
10.2.21. Other Prominent Player
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.