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Gene Editing Market by CRISPR, Technology, Application, End User - Global Forecast to 2030

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    Report

  • 195 Pages
  • May 2025
  • Region: Global
  • 360iResearch™
  • ID: 6017517
UP TO OFF until Dec 31st 2025
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The Gene Editing Market grew from USD 9.18 billion in 2024 to USD 10.89 billion in 2025. It is expected to continue growing at a CAGR of 18.10%, reaching USD 24.92 billion by 2030.

Pioneering the Gene Editing Revolution

The landscape of biotechnology has been fundamentally altered by the emergence of gene editing technologies that confer unprecedented precision at the molecular level. What began as a theoretical possibility has matured into a toolkit that empowers researchers and organizations to rewrite genetic code with remarkable accuracy. This executive summary offers decision-makers a concise yet thorough overview of the forces shaping the gene editing market, illuminating the critical drivers, barriers, and inflection points that will determine the trajectory of this transformative domain.

By focusing on key market dynamics-technology developments, regulatory shifts, trade policies, and competitive positioning-this introduction sets the stage for a deeper exploration of how stakeholders can navigate complexity and seize emerging opportunities. As the industry transitions from proof-of-concept studies to commercial applications in therapeutics, agriculture, and diagnostics, strategic insight becomes essential to maintain momentum and optimize resource allocation.

Unfolding a Paradigm Shift in Biotechnology

Biotechnology is experiencing a paradigm shift fueled by iterative breakthroughs in genome engineering tools. Advances in CRISPR-Cas variants, including the evolution of Cas12 and Cas13 systems, have expanded the repertoire of editable targets and improved off-target specificity. Concurrently, next-generation approaches such as base editing and prime editing are redefining possibilities by enabling single-nucleotide conversions without introducing double-strand breaks.

Regulatory frameworks are adapting in parallel, with health authorities in major markets drafting guidance to expedite the transition of gene therapies from research to the clinic. This regulatory momentum is complemented by strategic partnerships among academic institutions, biotech firms, and technology providers, accelerating innovation cycles and fostering knowledge exchange. As investments flow into biomanufacturing infrastructure and quality-control platforms, the industry is poised to transition from experimental validation to scaled commercialization, underscoring a transformative shift that will reverberate across research, therapeutic, and agricultural applications.

Assessing the Effects of US Tariffs on Gene Editing Supply Chains

The introduction of new tariff regimes by the United States in early 2025 has introduced a complex layer of cost pressures across the gene editing supply chain. Critical components such as synthetic reagents and specialized enzymes, which were predominantly sourced from international suppliers, now carry increased import duties. As a result, reagent costs have risen substantially, compelling manufacturers and research organizations to reassess sourcing strategies to maintain budgetary discipline.

In response, many stakeholders have embarked on regional diversification, establishing additional manufacturing nodes within tariff-free jurisdictions to mitigate expense escalation. Contract research organizations have adjusted project budgets to absorb cost fluctuations, while leading biotech companies are engaging in proactive dialogues with policymakers to advocate for exemptions or phased rollouts. Although these measures cannot entirely offset the effects of the levies, they illustrate the adaptive tactics deployed to safeguard research continuity and preserve market momentum in the wake of evolving trade policies.

Revealing Critical Segmentation Insights in Gene Editing

A nuanced understanding of market segmentation reveals the multifaceted nature of gene editing adoption and investment. When analyzing the field through the lens of CRISPR sub-systems, the comparative performance and specificity of Cas12, Cas13, and the foundational Cas9 enzyme illuminate differentiated application trajectories and funding priorities. Each variant’s unique characteristics influence both research adoption rates and therapeutic pipeline prospects.

Broadening the perspective to include an array of gene editing technologies highlights the competitive landscape that extends beyond CRISPR. Platforms such as antisense oligonucleotides, meganucleases, RNA-guided nucleases, transcription activator-like effector nucleases, and zinc finger nucleases each contribute distinct advantages in targeting precision, scalability, and delivery mechanisms. By evaluating each technology’s maturity, intellectual property environment, and clinical validation status, stakeholders can tailor their R&D investments to align with anticipated technological inflection points.

Application-centric analysis further refines strategic planning, as the landscape spans animal genetic engineering, basic research endeavors, bioenergy innovation, cell line engineering, diagnostic development, drug development programs, direct gene editing interventions, plant genetic engineering, and vaccine design initiatives. Each use case presents unique regulatory considerations, ROI timelines, and partnership models, necessitating targeted approaches to commercialization and stakeholder engagement.

Finally, the end-user dimension captures the diversity of market demand. Academic and government research institutes continue to serve as primary innovation incubators, advancing proof-of-concept studies and foundational discoveries. Biotechnology and pharmaceutical companies drive translational efforts, leveraging in-house expertise to propel assets toward clinical milestones. Contract research organizations offer flexible, turnkey solutions that enable rapid scale-up and specialized assay development. Understanding the interplay among these segments empowers companies to position their offerings effectively and anticipate evolving customer priorities.

Deciphering Regional Variations in Gene Editing Markets

Regional dynamics play a pivotal role in shaping gene editing investment patterns and regulatory frameworks. In the Americas, a robust innovation ecosystem backed by significant funding from both public agencies and private investors underpins rapid clinical translation. Companies operating in this region benefit from streamlined regulatory pathways that have evolved to address advanced therapy medicinal products, fostering an environment of accelerated clinical trial initiation.

Europe, the Middle East, and Africa present a tapestry of regulatory heterogeneity, where leading markets in Western Europe contrast with emerging hubs in the Middle East and North Africa. Harmonization initiatives within the European Union aim to foster cross-border collaboration, while specialized biotech clusters in countries such as Germany, the United Kingdom, and Israel drive targeted research around gene therapy and agricultural biotechnology.

The Asia-Pacific region is characterized by dynamic growth propelled by large-scale public investments and supportive policy frameworks, particularly in countries with strategic initiatives to become global biotech leaders. Infrastructure development in markets such as China, Japan, South Korea, and India has accelerated reagent manufacturing and clinical trial capacity, catalyzing both domestic innovation and inbound partnerships with multinational corporations. Taken together, these regional insights underscore the need for tailored market entry strategies and local stakeholder engagement plans.

Spotlighting Leading Innovators and Established Competitors

The competitive terrain of gene editing is dominated by a blend of pioneering startups and established life science corporations. Several publicly traded companies have translated CRISPR discoveries into clinical pipelines targeting genetic disorders, leveraging robust capital markets to fund expansive trial programs. These leaders have also forged alliances with contract development and manufacturing organizations to secure reliable production capacity for vectors and reagents.

Simultaneously, specialized tool providers have carved out niches by optimizing delivery technologies, enhancing editing specificity, and supplying quality-assured enzyme constructs. Their R&D investments in reagent stability and high-throughput screening platforms have attracted collaborative agreements with major pharmaceutical firms and research institutes. Certain biotech powerhouses have integrated gene editing capabilities into broader platforms, augmenting discovery workflows with proprietary data analytics and predictive modeling tools.

Moreover, strategic partnerships between technology pioneers and academic centers have accelerated translational research, resulting in co-development deals and licensing agreements that reinforce competitive moats. These alliances not only validate novel platforms but also create multi-stakeholder ecosystems where knowledge sharing and co-innovation thrive. Observing how each company leverages its core competencies-whether in vector engineering, process scale-up, or clinical development-reveals the strategic divergence that defines market leadership.

Strategic Recommendations to Navigate the Gene Editing Frontier

To capitalize on the gene editing revolution, industry leaders should take a multifaceted strategic approach. First, they must invest in diversified platform portfolios that integrate complementary technologies, ensuring resilience against single-technology bottlenecks and positioning for rapid adoption of next-generation modalities. Building cross-functional teams that bridge molecular biology, data science, and regulatory affairs will accelerate development cycles and enhance compliance readiness.

Second, forging collaborative alliances across academia, contract research organizations, and technology partners can streamline access to specialized expertise and shared infrastructure, reducing time-to-market while optimizing R&D expenditures. These partnerships should be structured to align incentives, balance intellectual property considerations, and facilitate transparent knowledge exchange.

Third, organizations must proactively engage with regulatory bodies to shape evolving guidelines, advocating for clarity around clinical trial design and manufacturing standards. Early dialogue can de-risk development timelines and establish credibility with oversight agencies. Equally important is the cultivation of a global supply chain strategy that anticipates tariff shifts and localizes manufacturing footprint where feasible to mitigate cost volatility.

Finally, leaders should prioritize workforce development, investing in training programs that equip scientific talent with the latest gene editing methodologies and quality-assurance practices. By fostering a culture of continuous learning and cross-disciplinary collaboration, companies can maintain innovation velocity and attract top-tier professionals.

Robust and Transparent Research Methodology

This analysis integrates secondary research from peer-reviewed journals, regulatory filings, and industry publications, complemented by primary interviews with leading scientists, corporate strategists, and regulatory advisors. Data from public and proprietary databases was cross-verified to ensure accuracy and relevance, with triangulation performed against historical benchmarks and current market indicators.

Segmentation frameworks were developed through a detailed evaluation of technology platforms, application domains, and end-user profiles, enabling comprehensive mapping of stakeholder requirements. Regional insights reflect country-level policy reviews and trade data analysis, while tariff impact assessments draw on official government communications and corporate disclosures.

The research team adhered to rigorous validation protocols, including methodological peer reviews and expert panel consultations, to safeguard objectivity and mitigate bias. Findings were subjected to quality-control audits to verify data integrity and logical consistency. This structured methodology underpins the credibility of our strategic insights and ensures that the report serves as a reliable foundation for high-stakes decision-making.

Concluding Perspectives on the Gene Editing Horizon

Gene editing stands at the cusp of delivering on its promise across therapeutics, agriculture, and industrial biosciences. The confluence of advancing technologies, evolving regulations, and dynamic market forces creates a landscape rich with opportunity yet fraught with complexity. Decision-makers must navigate geopolitical shifts, tariff uncertainties, and intense competition while maintaining the agility to embrace emerging modalities.

In synthesizing these insights, it becomes evident that success in this arena hinges on strategic foresight, collaborative innovation, and proactive regulatory engagement. By aligning investments with the most promising technology vectors, optimizing supply chains, and fostering robust partnerships, organizations can translate scientific breakthroughs into sustainable market leadership.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • CRISPR
    • Cas12
    • Cas13
    • Cas9
  • Technology
    • Antisense oligonucleotides
    • CRISPR-Cas9
    • Meganucleases
    • RNA-guided nucleases
    • TALENs (Transcription Activator-Like Effector Nucleases)
    • ZFNs (Zinc Finger Nucleases)
  • Application
    • Animal Genetic Engineering
    • Basic Research
    • Bioenergy
    • Cell Line Engineering
    • Diagnostics
    • Drug Development
    • Gene Editing
    • Plant Genetic Engineering
    • Vaccine Development
  • End User
    • Academic & Government Research Institutes
    • Biotechnology & Pharmaceutical Companies
    • Contract Research Organizations (CROs)
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
  • Thermo Fisher Scientific Inc.
  • Danaher Corporation
  • Merck KGaA
  • PerkinElmer, Inc.
  • Agilent Technologies, Inc.
  • Illumina, Inc.
  • Lonza Group AG
  • GenScript Biotech Corporation
  • Bio-Rad Laboratories, Inc.
  • New England Biolabs, Inc.

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. Gene Editing Market, by CRISPR
8.1. Introduction
8.2. Cas12
8.3. Cas13
8.4. Cas9
9. Gene Editing Market, by Technology
9.1. Introduction
9.2. Antisense oligonucleotides
9.3. CRISPR-Cas9
9.4. Meganucleases
9.5. RNA-guided nucleases
9.6. TALENs (Transcription Activator-Like Effector Nucleases)
9.7. ZFNs (Zinc Finger Nucleases)
10. Gene Editing Market, by Application
10.1. Introduction
10.2. Animal Genetic Engineering
10.3. Basic Research
10.4. Bioenergy
10.5. Cell Line Engineering
10.6. Diagnostics
10.7. Drug Development
10.8. Gene Editing
10.9. Plant Genetic Engineering
10.10. Vaccine Development
11. Gene Editing Market, by End User
11.1. Introduction
11.2. Academic & Government Research Institutes
11.3. Biotechnology & Pharmaceutical Companies
11.4. Contract Research Organizations (CROs)
12. Americas Gene Editing Market
12.1. Introduction
12.2. United States
12.3. Canada
12.4. Mexico
12.5. Brazil
12.6. Argentina
13. Europe, Middle East & Africa Gene Editing Market
13.1. Introduction
13.2. United Kingdom
13.3. Germany
13.4. France
13.5. Russia
13.6. Italy
13.7. Spain
13.8. United Arab Emirates
13.9. Saudi Arabia
13.10. South Africa
13.11. Denmark
13.12. Netherlands
13.13. Qatar
13.14. Finland
13.15. Sweden
13.16. Nigeria
13.17. Egypt
13.18. Turkey
13.19. Israel
13.20. Norway
13.21. Poland
13.22. Switzerland
14. Asia-Pacific Gene Editing Market
14.1. Introduction
14.2. China
14.3. India
14.4. Japan
14.5. Australia
14.6. South Korea
14.7. Indonesia
14.8. Thailand
14.9. Philippines
14.10. Malaysia
14.11. Singapore
14.12. Vietnam
14.13. Taiwan
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. Thermo Fisher Scientific Inc.
15.3.2. Danaher Corporation
15.3.3. Merck KGaA
15.3.4. PerkinElmer, Inc.
15.3.5. Agilent Technologies, Inc.
15.3.6. Illumina, Inc.
15.3.7. Lonza Group AG
15.3.8. GenScript Biotech Corporation
15.3.9. Bio-Rad Laboratories, Inc.
15.3.10. New England Biolabs, Inc.
16. ResearchAI
17. ResearchStatistics
18. ResearchContacts
19. ResearchArticles
20. Appendix
List of Figures
FIGURE 1. GENE EDITING MARKET MULTI-CURRENCY
FIGURE 2. GENE EDITING MARKET MULTI-LANGUAGE
FIGURE 3. GENE EDITING MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL GENE EDITING MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL GENE EDITING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL GENE EDITING MARKET SIZE, BY CRISPR, 2024 VS 2030 (%)
FIGURE 8. GLOBAL GENE EDITING MARKET SIZE, BY CRISPR, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 10. GLOBAL GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL GENE EDITING MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 12. GLOBAL GENE EDITING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL GENE EDITING MARKET SIZE, BY END USER, 2024 VS 2030 (%)
FIGURE 14. GLOBAL GENE EDITING MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 16. AMERICAS GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES GENE EDITING MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 18. UNITED STATES GENE EDITING MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. GENE EDITING MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 24. GENE EDITING MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. GENE EDITING MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL GENE EDITING MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL GENE EDITING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL GENE EDITING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL GENE EDITING MARKET SIZE, BY CAS12, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL GENE EDITING MARKET SIZE, BY CAS13, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL GENE EDITING MARKET SIZE, BY CAS9, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL GENE EDITING MARKET SIZE, BY ANTISENSE OLIGONUCLEOTIDES, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL GENE EDITING MARKET SIZE, BY CRISPR-CAS9, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL GENE EDITING MARKET SIZE, BY MEGANUCLEASES, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL GENE EDITING MARKET SIZE, BY RNA-GUIDED NUCLEASES, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL GENE EDITING MARKET SIZE, BY TALENS (TRANSCRIPTION ACTIVATOR-LIKE EFFECTOR NUCLEASES), BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL GENE EDITING MARKET SIZE, BY ZFNS (ZINC FINGER NUCLEASES), BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL GENE EDITING MARKET SIZE, BY ANIMAL GENETIC ENGINEERING, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL GENE EDITING MARKET SIZE, BY BASIC RESEARCH, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL GENE EDITING MARKET SIZE, BY BIOENERGY, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL GENE EDITING MARKET SIZE, BY CELL LINE ENGINEERING, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL GENE EDITING MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL GENE EDITING MARKET SIZE, BY DRUG DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL GENE EDITING MARKET SIZE, BY GENE EDITING, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL GENE EDITING MARKET SIZE, BY PLANT GENETIC ENGINEERING, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL GENE EDITING MARKET SIZE, BY VACCINE DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL GENE EDITING MARKET SIZE, BY ACADEMIC & GOVERNMENT RESEARCH INSTITUTES, BY REGION, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL GENE EDITING MARKET SIZE, BY BIOTECHNOLOGY & PHARMACEUTICAL COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL GENE EDITING MARKET SIZE, BY CONTRACT RESEARCH ORGANIZATIONS (CROS), BY REGION, 2018-2030 (USD MILLION)
TABLE 31. AMERICAS GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 32. AMERICAS GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 33. AMERICAS GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 34. AMERICAS GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 35. AMERICAS GENE EDITING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 36. UNITED STATES GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 37. UNITED STATES GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 38. UNITED STATES GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 39. UNITED STATES GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 40. UNITED STATES GENE EDITING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 41. CANADA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 42. CANADA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 43. CANADA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 44. CANADA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 45. MEXICO GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 46. MEXICO GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 47. MEXICO GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 48. MEXICO GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 49. BRAZIL GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 50. BRAZIL GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 51. BRAZIL GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 52. BRAZIL GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 53. ARGENTINA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 54. ARGENTINA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 55. ARGENTINA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 56. ARGENTINA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 57. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 58. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 59. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 60. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 61. EUROPE, MIDDLE EAST & AFRICA GENE EDITING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 62. UNITED KINGDOM GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 63. UNITED KINGDOM GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 64. UNITED KINGDOM GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 65. UNITED KINGDOM GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 66. GERMANY GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 67. GERMANY GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 68. GERMANY GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 69. GERMANY GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 70. FRANCE GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 71. FRANCE GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 72. FRANCE GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 73. FRANCE GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 74. RUSSIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 75. RUSSIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 76. RUSSIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 77. RUSSIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 78. ITALY GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 79. ITALY GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 80. ITALY GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 81. ITALY GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 82. SPAIN GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 83. SPAIN GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 84. SPAIN GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 85. SPAIN GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 86. UNITED ARAB EMIRATES GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 87. UNITED ARAB EMIRATES GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 88. UNITED ARAB EMIRATES GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 89. UNITED ARAB EMIRATES GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 90. SAUDI ARABIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 91. SAUDI ARABIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 92. SAUDI ARABIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 93. SAUDI ARABIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 94. SOUTH AFRICA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 95. SOUTH AFRICA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 96. SOUTH AFRICA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 97. SOUTH AFRICA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 98. DENMARK GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 99. DENMARK GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 100. DENMARK GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 101. DENMARK GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 102. NETHERLANDS GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 103. NETHERLANDS GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 104. NETHERLANDS GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 105. NETHERLANDS GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 106. QATAR GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 107. QATAR GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 108. QATAR GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 109. QATAR GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 110. FINLAND GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 111. FINLAND GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 112. FINLAND GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 113. FINLAND GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 114. SWEDEN GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 115. SWEDEN GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 116. SWEDEN GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 117. SWEDEN GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 118. NIGERIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 119. NIGERIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 120. NIGERIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 121. NIGERIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 122. EGYPT GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 123. EGYPT GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 124. EGYPT GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 125. EGYPT GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 126. TURKEY GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 127. TURKEY GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 128. TURKEY GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 129. TURKEY GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 130. ISRAEL GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 131. ISRAEL GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 132. ISRAEL GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 133. ISRAEL GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 134. NORWAY GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 135. NORWAY GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 136. NORWAY GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 137. NORWAY GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 138. POLAND GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 139. POLAND GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 140. POLAND GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 141. POLAND GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 142. SWITZERLAND GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 143. SWITZERLAND GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 144. SWITZERLAND GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 145. SWITZERLAND GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 146. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 147. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 148. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 149. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 150. ASIA-PACIFIC GENE EDITING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 151. CHINA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 152. CHINA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 153. CHINA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 154. CHINA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 155. INDIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 156. INDIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 157. INDIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 158. INDIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 159. JAPAN GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 160. JAPAN GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 161. JAPAN GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 162. JAPAN GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 163. AUSTRALIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 164. AUSTRALIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 165. AUSTRALIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 166. AUSTRALIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 167. SOUTH KOREA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 168. SOUTH KOREA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 169. SOUTH KOREA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 170. SOUTH KOREA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 171. INDONESIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 172. INDONESIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 173. INDONESIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 174. INDONESIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 175. THAILAND GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 176. THAILAND GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 177. THAILAND GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 178. THAILAND GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 179. PHILIPPINES GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 180. PHILIPPINES GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 181. PHILIPPINES GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 182. PHILIPPINES GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 183. MALAYSIA GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 184. MALAYSIA GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 185. MALAYSIA GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 186. MALAYSIA GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 187. SINGAPORE GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 188. SINGAPORE GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 189. SINGAPORE GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 190. SINGAPORE GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 191. VIETNAM GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 192. VIETNAM GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 193. VIETNAM GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 194. VIETNAM GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 195. TAIWAN GENE EDITING MARKET SIZE, BY CRISPR, 2018-2030 (USD MILLION)
TABLE 196. TAIWAN GENE EDITING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 197. TAIWAN GENE EDITING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 198. TAIWAN GENE EDITING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 199. GENE EDITING MARKET SHARE, BY KEY PLAYER, 2024
TABLE 200. GENE EDITING MARKET, FPNV POSITIONING MATRIX, 2024

Companies Mentioned

The companies profiled in this Gene Editing market report include:
  • Thermo Fisher Scientific Inc.
  • Danaher Corporation
  • Merck KGaA
  • PerkinElmer, Inc.
  • Agilent Technologies, Inc.
  • Illumina, Inc.
  • Lonza Group AG
  • GenScript Biotech Corporation
  • Bio-Rad Laboratories, Inc.
  • New England Biolabs, Inc.

Methodology

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Table Information