Global Blockchain In Genomics Market
Global Blockchain In Genomics Market

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)

Blockchain In Genomics Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Nov 2020 Edition 208 Pages 215 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Blockchain In Genomics?
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 market study is broken down 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. Research Analyst at AMA estimates 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 that are part of study coverage. Additionally, the Players which are also part of the research coverage are Shivom (United Kingdom) and Zenome (Russia).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market 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 . If we see Market by Target, the sub-segment i.e. B2B will boost the Blockchain In Genomics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Models, the sub-segment i.e. Token-economy will boost the Blockchain In Genomics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Pharmaceutical Companies will boost the Blockchain In Genomics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

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.


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

About Approach
During this study the evaluation and validation of the market size is done through various sources including primary and secondary analysis. AMA Research & Media follows industrial and regulatory standards such as NAICS/SIC/ICB/TRCB, to have the better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with purpose to understand company’s positioning regarding market value, volume and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc. and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Customization available in this Study:
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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
    • 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 and End User (value) (2014-2019)
      • 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
    • 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 (2019)
      • 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 and End User (value) (2020-2025)
      • 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
    • 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: by Application(USD Million)
    • Table 3. Blockchain In Genomics: by Target(USD Million)
    • Table 4. Blockchain In Genomics: by Models(USD Million)
    • Table 5. Blockchain In Genomics: by End User(USD Million)
    • Table 6. Company Basic Information, Sales Area and Its Competitors
    • Table 7. Company Basic Information, Sales Area and Its Competitors
    • Table 8. Company Basic Information, Sales Area and Its Competitors
    • Table 9. Company Basic Information, Sales Area and Its Competitors
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Company Basic Information, Sales Area and Its Competitors
    • Table 15. Company Basic Information, Sales Area and Its Competitors
    • Table 16. Company Basic Information, Sales Area and Its Competitors
    • Table 17. Blockchain In Genomics: by Type(USD Million)
    • Table 18. Blockchain In Genomics: by Application(USD Million)
    • Table 19. Blockchain In Genomics: by Target(USD Million)
    • Table 20. Blockchain In Genomics: by Models(USD Million)
    • Table 21. Blockchain In Genomics: by End User(USD Million)
    • Table 22. Research Programs/Design for This Report
    • Table 23. Key Data Information from Secondary Sources
    • Table 24. 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 (2014-2019)
    • Figure 5. Global Blockchain In Genomics: by Application USD Million (2014-2019)
    • Figure 6. Global Blockchain In Genomics: by Target USD Million (2014-2019)
    • Figure 7. Global Blockchain In Genomics: by Models USD Million (2014-2019)
    • Figure 8. Global Blockchain In Genomics: by End User USD Million (2014-2019)
    • Figure 9. Global Blockchain In Genomics share by Players 2019 (%)
    • Figure 10. Global Blockchain In Genomics share by Players (Top 3) 2019(%)
    • Figure 11. Global Blockchain In Genomics share by Players (Top 5) 2019(%)
    • Figure 12. BCG Matrix for key Companies
    • Figure 13. Merck(United States) Revenue, Net Income and Gross profit
    • Figure 14. Merck(United States) Revenue: by Geography 2019
    • Figure 15. Murrieta Genomics (United States) Revenue, Net Income and Gross profit
    • Figure 16. Murrieta Genomics (United States) Revenue: by Geography 2019
    • Figure 17. Ripe Technology, etc (United States) Revenue, Net Income and Gross profit
    • Figure 18. Ripe Technology, etc (United States) Revenue: by Geography 2019
    • Figure 19. Nebula Genomics(United States) Revenue, Net Income and Gross profit
    • Figure 20. Nebula Genomics(United States) Revenue: by Geography 2019
    • Figure 21. DNAtix (United States) Revenue, Net Income and Gross profit
    • Figure 22. DNAtix (United States) Revenue: by Geography 2019
    • Figure 23. Longenesis (China) Revenue, Net Income and Gross profit
    • Figure 24. Longenesis (China) Revenue: by Geography 2019
    • Figure 25. Luna DNA (United States) Revenue, Net Income and Gross profit
    • Figure 26. Luna DNA (United States) Revenue: by Geography 2019
    • Figure 27. EncrypGen(United States) Revenue, Net Income and Gross profit
    • Figure 28. EncrypGen(United States) Revenue: by Geography 2019
    • Figure 29. GSK (United Kingdom) Revenue, Net Income and Gross profit
    • Figure 30. GSK (United Kingdom) Revenue: by Geography 2019
    • Figure 31. Pfizer(United States) Revenue, Net Income and Gross profit
    • Figure 32. Pfizer(United States) Revenue: by Geography 2019
    • Figure 33. Genobank.io(United States) Revenue, Net Income and Gross profit
    • Figure 34. Genobank.io(United States) Revenue: by Geography 2019
    • Figure 35. Global Blockchain In Genomics: by Type USD Million (2020-2025)
    • Figure 36. Global Blockchain In Genomics: by Application USD Million (2020-2025)
    • Figure 37. Global Blockchain In Genomics: by Target USD Million (2020-2025)
    • Figure 38. Global Blockchain In Genomics: by Models USD Million (2020-2025)
    • Figure 39. Global Blockchain In Genomics: by End User USD Million (2020-2025)
    Some of the key companies/manufacturers profiled in the report
    • 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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