Blockchain In Genomics Comprehensive Study by Type (Public, Federated, Private), Application (Clinical Trials, IP Management, Drug Discovery, Data storage and security, Others), Target (B2B, B2C, C2C), Models (Token-economy, Service, Development Platforms, Blockchain based software products), End User (Pharmaceutical Companies, Research Institutes, Others) Players and Region - Global Market Outlook to 2026

Blockchain In Genomics Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Blockchain In Genomics Market Scope?
Over the past few years, a number of companies have been formed to realize this goal and further develop blockchain for genomic data storage, sharing, and analysis. In doing so, these companies aim to improve genomic data access to the users themselves, as well as researchers, drug developers, and healthcare providers. Blockchain technology promises to transform data distribution via major advancements in data security and storage. Blockchain essentially connects digital accounts using cryptography, enabling verifiable transactions that can be openly shared on a highly secure, decentralized network. It is a Blockchain in genomics stores, manages, and processes the transaction of genomic data between genomic data providers and its customers. Additionally, the major factor driving the market is utility and demand to secure such transactions comprising of unique genomic data. However, the market is expected to be restrained due to the lack of understanding of the utility of blockchain in genomics and high maintenance costs.

The Blockchain In Genomics market study is being classified by Type (Public, Federated and Private), by Application (Clinical Trials, IP Management, Drug Discovery, Data storage and security and Others) and major geographies with country level break-up.

The companies are exploring the market by adopting expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions across the globe to gain a competitive advantage through combined collaborations. Analysts at AMA predicts that Players from United States will contribute to the maximum growth of Global Blockchain In Genomics market throughout the predicted period.

Merck(United States), Murrieta Genomics (United States), Ripe Technology, etc (United States), Nebula Genomics(United States), DNAtix (United States), Longenesis (China), Luna DNA (United States), EncrypGen(United States), GSK (United Kingdom), Pfizer(United States) and Genobank.io(United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Shivom (United Kingdom) and Zenome (Russia).

Segmentation Analysis
Analyst at AMA have segmented the market study of Global Blockchain In Genomics market by Type, Application and Region.

On the basis of geography, the market of Blockchain In Genomics has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

In September 2019 Nebula Genomics United States-based firm has introduced its new Blockchain-Based DNA Sequencing it helps the customer without the need for customers to reveal their personal information. To accomplish this, Nebula developed and executed a blockchain-based product that enables transparent and controllable data sharing, and offers an option to conduct pseudo-anonymous payments using cryptocurrencies.


Influencing Market Trend
  • Blockchain technology has emerged as a viable option to store/exchange genomic data

Market Drivers
  • Demand to secure such transactions comprising of unique genomic data.
  • Pharma companies are mainly the ones carrying out the transaction of genomic data contributing to its leading position in the market.
  • Rising investment by private players and venture capitalist help to boost the blockchain in genomic data management market growth.

Opportunities
  • Launch of new blockchain-based platforms
  • Innovations in technology, thus increasing customer satisfaction on a global level

Restraints
  • Lack of proper knowledge regarding the integration of blockchain in the health care industry

Challenges
  • Lack of resources and stakeholders about the enormous applications of the blockchain and its implementation.


Key Target Audience
Blockchain in genomics service providers, vendors and other stakeholders, Government bodies such as regulating authorities and policy makers, Organizations, forums and alliances related to blockchain in genomics and Market research and consulting firms

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also include significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets , To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

Report Objectives / Segmentation Covered

By Type
  • Public
  • Federated
  • Private
By Application
  • Clinical Trials
  • IP Management
  • Drug Discovery
  • Data storage and security
  • Others
By Target
  • B2B
  • B2C
  • C2C

By Models
  • Token-economy
  • Service
  • Development Platforms
  • Blockchain based software products

By End User
  • Pharmaceutical Companies
  • Research Institutes
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Demand to secure such transactions comprising of unique genomic data.
      • 3.2.2. Pharma companies are mainly the ones carrying out the transaction of genomic data contributing to its leading position in the market.
      • 3.2.3. Rising investment by private players and venture capitalist help to boost the blockchain in genomic data management market growth.
    • 3.3. Market Challenges
      • 3.3.1. Lack of resources and stakeholders about the enormous applications of the blockchain and its implementation.
    • 3.4. Market Trends
      • 3.4.1. Blockchain technology has emerged as a viable option to store/exchange genomic data
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Blockchain In Genomics, by Type, Application, Target, Models, End User and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Blockchain In Genomics (Value)
      • 5.2.1. Global Blockchain In Genomics by: Type (Value)
        • 5.2.1.1. Public
        • 5.2.1.2. Federated
        • 5.2.1.3. Private
      • 5.2.2. Global Blockchain In Genomics by: Application (Value)
        • 5.2.2.1. Clinical Trials
        • 5.2.2.2. IP Management
        • 5.2.2.3. Drug Discovery
        • 5.2.2.4. Data storage and security
        • 5.2.2.5. Others
      • 5.2.3. Global Blockchain In Genomics by: Target (Value)
        • 5.2.3.1. B2B
        • 5.2.3.2. B2C
        • 5.2.3.3. C2C
      • 5.2.4. Global Blockchain In Genomics by: Models (Value)
        • 5.2.4.1. Token-economy
        • 5.2.4.2. Service
        • 5.2.4.3. Development Platforms
        • 5.2.4.4. Blockchain based software products
      • 5.2.5. Global Blockchain In Genomics by: End User (Value)
        • 5.2.5.1. Pharmaceutical Companies
        • 5.2.5.2. Research Institutes
        • 5.2.5.3. Others
      • 5.2.6. Global Blockchain In Genomics Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
    • 5.3. Global Blockchain In Genomics (Price)
      • 5.3.1. Global Blockchain In Genomics by: Type (Price)
  • 6. Blockchain In Genomics: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Merck(United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Murrieta Genomics (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Ripe Technology, etc (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Nebula Genomics(United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. DNAtix (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Longenesis (China)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Luna DNA (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. EncrypGen(United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. GSK (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Pfizer(United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Genobank.io(United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Blockchain In Genomics Sale, by Type, Application, Target, Models, End User and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Blockchain In Genomics (Value)
      • 7.2.1. Global Blockchain In Genomics by: Type (Value)
        • 7.2.1.1. Public
        • 7.2.1.2. Federated
        • 7.2.1.3. Private
      • 7.2.2. Global Blockchain In Genomics by: Application (Value)
        • 7.2.2.1. Clinical Trials
        • 7.2.2.2. IP Management
        • 7.2.2.3. Drug Discovery
        • 7.2.2.4. Data storage and security
        • 7.2.2.5. Others
      • 7.2.3. Global Blockchain In Genomics by: Target (Value)
        • 7.2.3.1. B2B
        • 7.2.3.2. B2C
        • 7.2.3.3. C2C
      • 7.2.4. Global Blockchain In Genomics by: Models (Value)
        • 7.2.4.1. Token-economy
        • 7.2.4.2. Service
        • 7.2.4.3. Development Platforms
        • 7.2.4.4. Blockchain based software products
      • 7.2.5. Global Blockchain In Genomics by: End User (Value)
        • 7.2.5.1. Pharmaceutical Companies
        • 7.2.5.2. Research Institutes
        • 7.2.5.3. Others
      • 7.2.6. Global Blockchain In Genomics Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
    • 7.3. Global Blockchain In Genomics (Price)
      • 7.3.1. Global Blockchain In Genomics by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Blockchain In Genomics: by Type(USD Million)
  • Table 2. Blockchain In Genomics Public , by Region USD Million (2015-2020)
  • Table 3. Blockchain In Genomics Federated , by Region USD Million (2015-2020)
  • Table 4. Blockchain In Genomics Private , by Region USD Million (2015-2020)
  • Table 5. Blockchain In Genomics: by Application(USD Million)
  • Table 6. Blockchain In Genomics Clinical Trials , by Region USD Million (2015-2020)
  • Table 7. Blockchain In Genomics IP Management , by Region USD Million (2015-2020)
  • Table 8. Blockchain In Genomics Drug Discovery , by Region USD Million (2015-2020)
  • Table 9. Blockchain In Genomics Data storage and security , by Region USD Million (2015-2020)
  • Table 10. Blockchain In Genomics Others , by Region USD Million (2015-2020)
  • Table 11. Blockchain In Genomics: by Target(USD Million)
  • Table 12. Blockchain In Genomics B2B , by Region USD Million (2015-2020)
  • Table 13. Blockchain In Genomics B2C , by Region USD Million (2015-2020)
  • Table 14. Blockchain In Genomics C2C , by Region USD Million (2015-2020)
  • Table 15. Blockchain In Genomics: by Models(USD Million)
  • Table 16. Blockchain In Genomics Token-economy , by Region USD Million (2015-2020)
  • Table 17. Blockchain In Genomics Service , by Region USD Million (2015-2020)
  • Table 18. Blockchain In Genomics Development Platforms , by Region USD Million (2015-2020)
  • Table 19. Blockchain In Genomics Blockchain based software products , by Region USD Million (2015-2020)
  • Table 20. Blockchain In Genomics: by End User(USD Million)
  • Table 21. Blockchain In Genomics Pharmaceutical Companies , by Region USD Million (2015-2020)
  • Table 22. Blockchain In Genomics Research Institutes , by Region USD Million (2015-2020)
  • Table 23. Blockchain In Genomics Others , by Region USD Million (2015-2020)
  • Table 24. South America Blockchain In Genomics, by Country USD Million (2015-2020)
  • Table 25. South America Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 26. South America Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 27. South America Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 28. South America Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 29. South America Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 30. Brazil Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 31. Brazil Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 32. Brazil Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 33. Brazil Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 34. Brazil Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 35. Argentina Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 36. Argentina Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 37. Argentina Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 38. Argentina Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 39. Argentina Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 40. Rest of South America Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 41. Rest of South America Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 42. Rest of South America Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 43. Rest of South America Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 44. Rest of South America Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 45. Asia Pacific Blockchain In Genomics, by Country USD Million (2015-2020)
  • Table 46. Asia Pacific Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 47. Asia Pacific Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 48. Asia Pacific Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 49. Asia Pacific Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 50. Asia Pacific Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 51. China Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 52. China Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 53. China Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 54. China Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 55. China Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 56. Japan Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 57. Japan Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 58. Japan Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 59. Japan Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 60. Japan Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 61. India Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 62. India Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 63. India Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 64. India Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 65. India Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 66. South Korea Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 67. South Korea Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 68. South Korea Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 69. South Korea Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 70. South Korea Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 71. Taiwan Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 72. Taiwan Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 73. Taiwan Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 74. Taiwan Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 75. Taiwan Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 76. Australia Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 77. Australia Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 78. Australia Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 79. Australia Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 80. Australia Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 81. Rest of Asia-Pacific Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 82. Rest of Asia-Pacific Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 83. Rest of Asia-Pacific Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 84. Rest of Asia-Pacific Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 85. Rest of Asia-Pacific Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 86. Europe Blockchain In Genomics, by Country USD Million (2015-2020)
  • Table 87. Europe Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 88. Europe Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 89. Europe Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 90. Europe Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 91. Europe Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 92. Germany Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 93. Germany Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 94. Germany Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 95. Germany Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 96. Germany Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 97. France Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 98. France Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 99. France Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 100. France Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 101. France Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 102. Italy Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 103. Italy Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 104. Italy Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 105. Italy Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 106. Italy Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 107. United Kingdom Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 108. United Kingdom Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 109. United Kingdom Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 110. United Kingdom Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 111. United Kingdom Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 112. Netherlands Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 113. Netherlands Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 114. Netherlands Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 115. Netherlands Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 116. Netherlands Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 117. Rest of Europe Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 118. Rest of Europe Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 119. Rest of Europe Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 120. Rest of Europe Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 121. Rest of Europe Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 122. MEA Blockchain In Genomics, by Country USD Million (2015-2020)
  • Table 123. MEA Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 124. MEA Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 125. MEA Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 126. MEA Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 127. MEA Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 128. Middle East Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 129. Middle East Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 130. Middle East Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 131. Middle East Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 132. Middle East Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 133. Africa Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 134. Africa Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 135. Africa Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 136. Africa Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 137. Africa Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 138. North America Blockchain In Genomics, by Country USD Million (2015-2020)
  • Table 139. North America Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 140. North America Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 141. North America Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 142. North America Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 143. North America Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 144. United States Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 145. United States Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 146. United States Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 147. United States Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 148. United States Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 149. Canada Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 150. Canada Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 151. Canada Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 152. Canada Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 153. Canada Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 154. Mexico Blockchain In Genomics, by Type USD Million (2015-2020)
  • Table 155. Mexico Blockchain In Genomics, by Application USD Million (2015-2020)
  • Table 156. Mexico Blockchain In Genomics, by Target USD Million (2015-2020)
  • Table 157. Mexico Blockchain In Genomics, by Models USD Million (2015-2020)
  • Table 158. Mexico Blockchain In Genomics, by End User USD Million (2015-2020)
  • Table 159. Blockchain In Genomics: by Type(USD/Units)
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Blockchain In Genomics: by Type(USD Million)
  • Table 172. Blockchain In Genomics Public , by Region USD Million (2021-2026)
  • Table 173. Blockchain In Genomics Federated , by Region USD Million (2021-2026)
  • Table 174. Blockchain In Genomics Private , by Region USD Million (2021-2026)
  • Table 175. Blockchain In Genomics: by Application(USD Million)
  • Table 176. Blockchain In Genomics Clinical Trials , by Region USD Million (2021-2026)
  • Table 177. Blockchain In Genomics IP Management , by Region USD Million (2021-2026)
  • Table 178. Blockchain In Genomics Drug Discovery , by Region USD Million (2021-2026)
  • Table 179. Blockchain In Genomics Data storage and security , by Region USD Million (2021-2026)
  • Table 180. Blockchain In Genomics Others , by Region USD Million (2021-2026)
  • Table 181. Blockchain In Genomics: by Target(USD Million)
  • Table 182. Blockchain In Genomics B2B , by Region USD Million (2021-2026)
  • Table 183. Blockchain In Genomics B2C , by Region USD Million (2021-2026)
  • Table 184. Blockchain In Genomics C2C , by Region USD Million (2021-2026)
  • Table 185. Blockchain In Genomics: by Models(USD Million)
  • Table 186. Blockchain In Genomics Token-economy , by Region USD Million (2021-2026)
  • Table 187. Blockchain In Genomics Service , by Region USD Million (2021-2026)
  • Table 188. Blockchain In Genomics Development Platforms , by Region USD Million (2021-2026)
  • Table 189. Blockchain In Genomics Blockchain based software products , by Region USD Million (2021-2026)
  • Table 190. Blockchain In Genomics: by End User(USD Million)
  • Table 191. Blockchain In Genomics Pharmaceutical Companies , by Region USD Million (2021-2026)
  • Table 192. Blockchain In Genomics Research Institutes , by Region USD Million (2021-2026)
  • Table 193. Blockchain In Genomics Others , by Region USD Million (2021-2026)
  • Table 194. South America Blockchain In Genomics, by Country USD Million (2021-2026)
  • Table 195. South America Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 196. South America Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 197. South America Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 198. South America Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 199. South America Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 200. Brazil Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 201. Brazil Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 202. Brazil Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 203. Brazil Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 204. Brazil Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 205. Argentina Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 206. Argentina Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 207. Argentina Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 208. Argentina Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 209. Argentina Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 210. Rest of South America Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 211. Rest of South America Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 212. Rest of South America Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 213. Rest of South America Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 214. Rest of South America Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 215. Asia Pacific Blockchain In Genomics, by Country USD Million (2021-2026)
  • Table 216. Asia Pacific Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 217. Asia Pacific Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 218. Asia Pacific Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 219. Asia Pacific Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 220. Asia Pacific Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 221. China Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 222. China Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 223. China Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 224. China Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 225. China Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 226. Japan Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 227. Japan Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 228. Japan Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 229. Japan Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 230. Japan Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 231. India Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 232. India Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 233. India Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 234. India Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 235. India Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 236. South Korea Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 237. South Korea Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 238. South Korea Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 239. South Korea Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 240. South Korea Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 241. Taiwan Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 242. Taiwan Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 243. Taiwan Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 244. Taiwan Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 245. Taiwan Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 246. Australia Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 247. Australia Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 248. Australia Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 249. Australia Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 250. Australia Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 251. Rest of Asia-Pacific Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 252. Rest of Asia-Pacific Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 253. Rest of Asia-Pacific Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 254. Rest of Asia-Pacific Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 255. Rest of Asia-Pacific Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 256. Europe Blockchain In Genomics, by Country USD Million (2021-2026)
  • Table 257. Europe Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 258. Europe Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 259. Europe Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 260. Europe Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 261. Europe Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 262. Germany Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 263. Germany Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 264. Germany Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 265. Germany Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 266. Germany Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 267. France Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 268. France Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 269. France Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 270. France Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 271. France Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 272. Italy Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 273. Italy Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 274. Italy Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 275. Italy Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 276. Italy Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 277. United Kingdom Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 278. United Kingdom Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 279. United Kingdom Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 280. United Kingdom Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 281. United Kingdom Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 282. Netherlands Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 283. Netherlands Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 284. Netherlands Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 285. Netherlands Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 286. Netherlands Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 287. Rest of Europe Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 288. Rest of Europe Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 289. Rest of Europe Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 290. Rest of Europe Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 291. Rest of Europe Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 292. MEA Blockchain In Genomics, by Country USD Million (2021-2026)
  • Table 293. MEA Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 294. MEA Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 295. MEA Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 296. MEA Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 297. MEA Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 298. Middle East Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 299. Middle East Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 300. Middle East Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 301. Middle East Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 302. Middle East Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 303. Africa Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 304. Africa Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 305. Africa Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 306. Africa Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 307. Africa Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 308. North America Blockchain In Genomics, by Country USD Million (2021-2026)
  • Table 309. North America Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 310. North America Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 311. North America Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 312. North America Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 313. North America Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 314. United States Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 315. United States Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 316. United States Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 317. United States Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 318. United States Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 319. Canada Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 320. Canada Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 321. Canada Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 322. Canada Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 323. Canada Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 324. Mexico Blockchain In Genomics, by Type USD Million (2021-2026)
  • Table 325. Mexico Blockchain In Genomics, by Application USD Million (2021-2026)
  • Table 326. Mexico Blockchain In Genomics, by Target USD Million (2021-2026)
  • Table 327. Mexico Blockchain In Genomics, by Models USD Million (2021-2026)
  • Table 328. Mexico Blockchain In Genomics, by End User USD Million (2021-2026)
  • Table 329. Blockchain In Genomics: by Type(USD/Units)
  • Table 330. Research Programs/Design for This Report
  • Table 331. Key Data Information from Secondary Sources
  • Table 332. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Blockchain In Genomics: by Type USD Million (2015-2020)
  • Figure 5. Global Blockchain In Genomics: by Application USD Million (2015-2020)
  • Figure 6. Global Blockchain In Genomics: by Target USD Million (2015-2020)
  • Figure 7. Global Blockchain In Genomics: by Models USD Million (2015-2020)
  • Figure 8. Global Blockchain In Genomics: by End User USD Million (2015-2020)
  • Figure 9. South America Blockchain In Genomics Share (%), by Country
  • Figure 10. Asia Pacific Blockchain In Genomics Share (%), by Country
  • Figure 11. Europe Blockchain In Genomics Share (%), by Country
  • Figure 12. MEA Blockchain In Genomics Share (%), by Country
  • Figure 13. North America Blockchain In Genomics Share (%), by Country
  • Figure 14. Global Blockchain In Genomics: by Type USD/Units (2015-2020)
  • Figure 15. Global Blockchain In Genomics share by Players 2020 (%)
  • Figure 16. Global Blockchain In Genomics share by Players (Top 3) 2020(%)
  • Figure 17. Global Blockchain In Genomics share by Players (Top 5) 2020(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. Merck(United States) Revenue, Net Income and Gross profit
  • Figure 20. Merck(United States) Revenue: by Geography 2020
  • Figure 21. Murrieta Genomics (United States) Revenue, Net Income and Gross profit
  • Figure 22. Murrieta Genomics (United States) Revenue: by Geography 2020
  • Figure 23. Ripe Technology, etc (United States) Revenue, Net Income and Gross profit
  • Figure 24. Ripe Technology, etc (United States) Revenue: by Geography 2020
  • Figure 25. Nebula Genomics(United States) Revenue, Net Income and Gross profit
  • Figure 26. Nebula Genomics(United States) Revenue: by Geography 2020
  • Figure 27. DNAtix (United States) Revenue, Net Income and Gross profit
  • Figure 28. DNAtix (United States) Revenue: by Geography 2020
  • Figure 29. Longenesis (China) Revenue, Net Income and Gross profit
  • Figure 30. Longenesis (China) Revenue: by Geography 2020
  • Figure 31. Luna DNA (United States) Revenue, Net Income and Gross profit
  • Figure 32. Luna DNA (United States) Revenue: by Geography 2020
  • Figure 33. EncrypGen(United States) Revenue, Net Income and Gross profit
  • Figure 34. EncrypGen(United States) Revenue: by Geography 2020
  • Figure 35. GSK (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 36. GSK (United Kingdom) Revenue: by Geography 2020
  • Figure 37. Pfizer(United States) Revenue, Net Income and Gross profit
  • Figure 38. Pfizer(United States) Revenue: by Geography 2020
  • Figure 39. Genobank.io(United States) Revenue, Net Income and Gross profit
  • Figure 40. Genobank.io(United States) Revenue: by Geography 2020
  • Figure 41. Global Blockchain In Genomics: by Type USD Million (2021-2026)
  • Figure 42. Global Blockchain In Genomics: by Application USD Million (2021-2026)
  • Figure 43. Global Blockchain In Genomics: by Target USD Million (2021-2026)
  • Figure 44. Global Blockchain In Genomics: by Models USD Million (2021-2026)
  • Figure 45. Global Blockchain In Genomics: by End User USD Million (2021-2026)
  • Figure 46. South America Blockchain In Genomics Share (%), by Country
  • Figure 47. Asia Pacific Blockchain In Genomics Share (%), by Country
  • Figure 48. Europe Blockchain In Genomics Share (%), by Country
  • Figure 49. MEA Blockchain In Genomics Share (%), by Country
  • Figure 50. North America Blockchain In Genomics Share (%), by Country
  • Figure 51. Global Blockchain In Genomics: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • Merck(United States)
  • Murrieta Genomics (United States)
  • Ripe Technology, etc (United States)
  • Nebula Genomics(United States)
  • DNAtix (United States)
  • Longenesis (China)
  • Luna DNA (United States)
  • EncrypGen(United States)
  • GSK (United Kingdom)
  • Pfizer(United States)
  • Genobank.io(United States)
Additional players considered in the study are as follows:
Shivom (United Kingdom) , Zenome (Russia)
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Frequently Asked Questions (FAQ):

The Global Blockchain In Genomics market is expected to see a growth of % during projected year 2020 to 2026.
The prominent players of Global Blockchain In Genomics market are Merck(United States), Murrieta Genomics (United States), Ripe Technology, etc (United States), Nebula Genomics(United States), DNAtix (United States), Longenesis (China), Luna DNA (United States), EncrypGen(United States), GSK (United Kingdom), Pfizer(United States) and Genobank.io(United States), to name a few.
In this highly competitive & fast evolving Blockchain In Genomics industry, the top strategic priorities would remain consistent like innovation, R&D and M&A.

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