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Blockchain in Genomic Data Management Market Outlook to 2027 - Encrypgen, Dnatix, Shivom Ventures, Geneblockchain, Nebula Genomics

09-09-2019 02:29 PM CET | IT, New Media & Software

Press release from: Premium Market Insights

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Large volumes of genomic data have been generated by the Human Genome Project, which is extensively used by medical and biotechnology research scientists. Also, the improvements in high throughput gene sequencing are helping to accelerate the genome sequencing process at a lower cost. The generation of zettabytes of genome data will be generated in next decade however there is no secured and trusted data management resource that provides seamless data exchange, sharing, and trustworthy storage solution for zettabytes of genomic data. Therefore, it becomes important to develop the technology platform which can handle such large and sensitive data volumes and can be easily accessible to clinicians, physicians, scientists, biopharmaceutical companies, and other stakeholders.

Top Companies Covered in this Report:
1. Encrypgen Incorporated, 2. Dnatix Ltd, 3. Shivom Ventures Limited, 4. Geneblockchain, Llc., 5. Nebula Genomics, 6. Genomes.Io, 7. 23andme, Inc., 8. Iif Management Company Llc. (Illumina, Inc.), 9. 10x Genomics, 10. Zenome

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The "Global Blockchain in Genomic Data Management Market Analysis to 2027" is a specialized and indepth study of the medical device industry with a focus on the global market trend. The report aims to provide an overview of global market with detailed market segmentation by game type, application, end user, and geography. The global Blockchain in Genomic Data Management market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Blockchain in Genomic Data Management market players and offers key trends and opportunities in the market.

The global Blockchain in Genomic Data Management market is segmented on the basis of device type, class of device, and service. Based on device type, the market is classified as in-vitro diagnostic medical devices, drug delivery devices, patient monitoring devices, minimally invasive surgical instruments, therapeutic patient assistive devices, and others. Based on class of device, the market is segmented into class I, class II, and class III. On the basis of service, the Blockchain in Genomic Data Management market is classified as prototype development, finished device manufacturing, assembly & packaging, testing & regulatory support services, molding & casting, and others.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Blockchain in Genomic Data Management market based on product, source and application. It also provides market size and forecast till 2027 for overall market with respect to five major regions, namely; North America, Europe, AsiaPacific (APAC), Middle East and Africa (MEA) and South & Central America.

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Fundamentals of Table of Content:

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type       
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Blockchain in Genomic Data Management Market Size
2.2 Blockchain in Genomic Data Management Growth Trends by Regions
2.3 Industry Trends

3 Market Share by Key Players
3.1 Blockchain in Genomic Data Management Market Size by Manufacturers
3.2 Blockchain in Genomic Data Management Key Players Head office and Area Served
3.3 Key Players Blockchain in Genomic Data Management Product/Solution/Service
3.4 Date of Enter into Blockchain in Genomic Data Management Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product
4.1 Global Blockchain in Genomic Data Management Sales by Product
4.2 Global Blockchain in Genomic Data Management Revenue by Product
4.3 Blockchain in Genomic Data Management Price by Product

5 Breakdown Data by End User         
5.1 Overview
5.2 Global Blockchain in Genomic Data Management Breakdown Data by End User

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