Blockchain in Genomic Data Management - Worldwide Markets, 2018-2030: It is Estimated that by 2025, Around 15% of the World's Population will Have had Their Genomes Sequenced

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Dec 12, 2018, 13:15 ET

DUBLIN, Dec. 12, 2018 /PRNewswire/ --

The "Blockchain in Genomic Data Management: Market Landscape and Competitive Insights, 2018-2030" report has been added to ResearchAndMarkets.com's offering.

'Blockchain in Genomic Data Management: Market Landscape and Competitive Insights, 2018-2030'

features an extensive study on the industry players that are offering blockchain platforms for the storage and management of genomic data.

The success of the Human Genome Project resulted in the generation of large volumes of genomic data, which is extensively used in biotechnology and medical research. Further, advancements in high throughput gene sequencing technologies have enabled scientists to expedite the genome sequencing process, and achieve significant cost benefits as well.

In fact, it is estimated that, by 2025, around 15% of the world's population will have had their genomes sequenced, resulting in the generation of several zettabytes of data.

However, currently, there are not many reliable and secure data management resources that offer secure storage, seamless exchange of information, and a reliable transaction platform, for large volumes of genomic and clinical data. Therefore, at this stage, it has become important to develop and establish the necessary tools and technologies to effectively help with the processing and analysis of the aforementioned information and for making it easily accessible to practicing physicians, scientists, pharmaceutical companies and other stakeholders.

Key Highlights

The current market landscape is relatively niche with a limited number of companies offering blockchain platforms for genomic data management. Of the total number of players involved, more than 35% are based in North America, primarily in the US. Examples of players based in this region include (in alphabetical order, no specific selection criteria) EncrypGen, GnoMine, LunaDNA, and Nebula Genomics. It is worth highlighting that companies are also based in developing regions, such as Brazil, India, Israel, Russia, Singapore, and South Korea.
Majority of the companies (86%) are involved in offering services primarily to pharmaceutical players and research institutes. In addition, the companies also offer genomic data management through blockchain platforms to other key stakeholders such as data owners, software developers, and insurers.
All the companies engaged in this domain offer genomic data sharing/transfer service to both data owners and data buyers. In addition, companies also claim to offer services, such as genomic data storage (87%), full data anonymity (87%), incentives for sharing their genomic data (87%), full genome sequencing (53%) and genetic counseling (27%), exclusively to data owners. Further, the services offered to data buyers include access to genomic datasets and genomic data analysis.
An analysis of over 1,750 tweets on social media platforms, and the opinions expressed by industry experts highlight the unaddressed concerns related to genomic data management; these include privacy issues, unsafe transactions, and lack of safety/reliability related to stored genomic data. It is worth mentioning that these challenges can be addressed via exchanging data on blockchain platforms. A comprehensive sentiment analysis of the tweets demonstrated that 85% were positive, suggesting that, at this stage, stakeholders are optimistic regarding the future potential of blockchain platforms for managing genomic data.
In order to enhance the adoption of blockchain platforms in genomic data management, stakeholders in the industry are exploring a variety of innovative marketing strategies. The most popular marketing strategies that are being implemented include the use of social media platforms to spread awareness related to blockchain platforms, online media and increasing participation in global events, such as conferences, to gain the required visibility in the market.
The overall coin market capitalization is currently estimated to be around USD 400 million-USD 750 million, based on total maximum supply, circulation supply, and the price (in USD) of the utility tokens of different companies engaged in this domain. Considering that such platforms are readily adopted within the healthcare industry, the aforementioned value is anticipated to significantly increase in the long term.
Overall, the market for genomic data management using blockchain platforms is expected to grow at an annualized rate of 43.5% between 2018 and 2030. While the current opportunity is higher for applications related to the development of personalized medicines, its scope in other application areas (such as advanced genetic testing services and identification of genotypic markers to enable better diagnosis) is anticipated to grow at a relatively faster rate in the forecast period.

Key Topics Covered

1. Preface
1.1. Chapter Overview
1.2. Research Methodology
1.3. Chapter Outlines

2. Executive Summary

3. Introduction
3.1. Chapter Overview
3.2. Concept of Blockchain
3.3. Potential Applications of Blockchain in Healthcare Industry
3.4. Overview and Importance of Genomic Data
3.5. Historical Evolution of Genomic Testing
3.6. Need for Sharing Genomic Data on Blockchain Platforms
3.6.1. Process of Sharing Genomic Data on Blockchain Platforms
3.6.1.1. Role of Utility Tokens
3.6.1.2. Token Distribution Events
3.6.1.3. Role of Compression Tools
3.6.2. Controversies Related to Sharing Genomic Data on Blockchain Platforms
3.7. Advantages and Limitations of Sharing Genomic Data on Blockchain Platforms

4. Market Landscape
4.1. Chapter Overview
4.2. Blockchain in Genomic Data Management: List of Industry Players
4.2.1. Analysis by Year of Establishment
4.2.2. Analysis by Geographical Location
4.2.3. Analysis by Company Size
4.2.4. Analysis by Geographical Location and Year of Establishment
4.2.5. Analysis by Company Size and Geographical Location
4.2.6. Analysis by Type of Business Model
4.2.7. Analysis by Type of Services Offered
4.2.8. Analysis by Type of End-Users
4.2.9. Analysis by Type of Services Offered and Geographical Location
4.2.10. Analysis by Type of Services Offered and End-Users

5. Company Profiles
5.1. Chapter Overview
5.2. Block23
5.3. DNAtix
5.4. EncrypGen
and more...

6. Emerging Trends On Social Media
6.1. Chapter Overview
6.2. Blockchain in Genomic Data Management: Trends on Twitter
6.2.1. Historical Trends in Volume of Tweets
6.2.2. Cumulative Year-Wise Activity
6.2.3. Trending Words / Phrases on Twitter
6.2.4. Trending Utility Tokens on Twitter
6.2.5. Popular Players on Twitter
6.2.6. Most Prolific Contributors on Twitter
6.2.7. Sentiment Analysis
6.3. Concluding Remarks

7. Stakeholder Needs Analysis
7.1. Chapter Overview
7.2. Needs of Stakeholders (Pharmaceutical Companies / Research Institutes / Data Owners / Government Agencies / Insurers)
7.2.1. Qualitative Analysis of Existing and Future Needs

8. Go-To-Market Strategy
8.1. Chapter Overview
8.2. Blockchain in Genomic Data Management: Marketing Strategies
8.2.1. Participation in Global Events
8.2.2. Marketing on Social Media Platforms
8.2.3. Marketing on Online / Print Media Platforms
8.2.4. Adopting Strategic Business Models
8.2.4.1. B2C Business Model
8.2.4.2. B2B Business Model
8.2.4.3. C2B Business Model
8.2.5. Undertaking Promotional Activities
8.3. Concluding Remarks

9. Market Capitalization Analysis
9.1. Chapter Overview
9.2. Methodology
9.2.1. Key Assumptions
9.3. Market Capitalization Analysis for Different Utility Tokens: 3D Bubble Analysis
9.4. Concluding Remarks

10. Blockchain in Genomic Data Management Use Cases and Opportunity Assessment
10.1. Chapter Overview
10.2. Blockchain in Genomic Data Management: Use Cases
10.3. Blockchain in Genomic Data Management: Market Opportunity Assessment
10.3.1. Methodology and Key Assumptions
10.3.2. Blockchain in Genomic Data Management: Market Opportunity, 2018-2030

11. Recent Trends Analysis
11.1. Chapter Overview
11.2. Blockchain in Genomic Data Management: Venture Capital Funding Activity
11.2.1. Types of Funding
11.2.2. List of Funding and Investments
11.2.2.1. Summary of Funding and Investments
11.3. Blockchain in Genomic Data Management: Partnership Activity
11.3.1. List of Partnerships and Collaborations
11.3.1.1. Summary of Partnerships and Collaborations
11.4. Blockchain in Genomic Data Management: Recent News Activity
11.4.1. List of Recent News
11.4.1.1. Analysis by Key Focus Area
11.5. Blockchain in Genomic Data Management: Recent / Upcoming Global Events
11.5.1. List of Recent / Upcoming Global Events
11.5.1.1. Analysis by Year of Occurrence
11.5.1.2. Analysis by Geography
11.5.1.3. Analysis by Type of Event
11.6. Blockchain in Genomic Data Management: Transcripts of Public Discussions
11.6.1. Dennis Grishin, Chief Scientific Officer / Co-founder, Nebula Genomics
11.6.2. Henry Ines, Chief Executive Officer, Shivom
11.6.3. Ofer a Lidsky, Co-founder, Chief Executive Officer and Chief Technology Officer, DNAtix
11.6.4. David Kerr, Chief Executive Officer, Block23
11.6.5. Alex Gorbachev and Nikolay Kulemin, Co-founders, Zenome
11.7. Concluding Remarks

12. Executive Insights
12.1. Chapter Overview
12.2. EncrypGen
12.2.1. Company Snapshot
12.2.2. Interview Transcript: David Koepsell, Chief Executive Officer
12.3. SimplyVital Health
12.3.1. Company Snapshot
12.3.2. Interview Transcript: Jake Dreier, Director of Growth and Operations
12.4. Genomes.io
12.4.1. Company Snapshot
12.4.2. Interview Transcript: Aldo de Pape, Chief Executive Officer and Louis Gooden, Analyst

13. Appendix 1: Tabulated Data

14. Appendix 2: List of Companies and Organizations

Companies Featured

23andMe
Ancestry
Anorak Ventures
ARCH Venture Partners
BIGSTER
Biologix Group
Block23
Boost VC
Bridge Link Capital
CollinStar Capital
Cdigo46
DigitalX
Discovery Capital Management
DNAtix
eMQT
Emrify
EncrypGen
Enigma Technologies
F-Prime Capital Partners
Fenbushi Capital
Gene BlockChain
Gene Whisper
Genecoin
Genetic Technologies
Genomes.io
GnoMine
Google
GreatPoint Ventures
Health Wizz
Heartbeat Labs
Hemi Ventures
Hemisphere Ventures
Hikma Ventures
Hoperidge Capital
Illumina Ventures
Ironside Capital
Khosla Ventures
Longenesis
LunaDNA
Macrogen
MapMyGenome
Mayfield
Med-Metrix
MicroVentures
Mirae Asset
Nebula Genomics
Shivom
SimplyVital Health
SingularityNET
Spherity
Toro Risk Consulting Group
Veritas Technologies
Windham Venture Partners
WuXi NextCODE Genomics
X Genomics
YEI Innovation Fund
Zenome

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