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Blockchain in Genomic Data Management: Market Landscape and Competitive Insights, 2018-2030NEW YORK, Dec. 20, 2018 /PRNewswire/ -- INTRODUCTION • Jake Dreier (Director of Growth and Operations, SimplyVital Health) • Aldo de Pape (Chief Executive Officer, Genomes.io) and Louis Gooden (Analyst, Genomes.io) All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this report are in USD, unless otherwise specified. RESEARCH METHODOLOGY The research, analysis and insights presented in this report are backed by a deep understanding of insights gathered from both secondary and primary sources. For all our projects, we conduct interviews with experts in the area (academia, industry and other associations) to solicit their opinions on emerging trends in the market. This is primarily useful for us to draw out our own opinion on how the market will evolve across different regions and technology segments. Where possible, the available data has been checked for accuracy from multiple sources of information. The secondary sources of information include: • Annual reports • Investor presentations • SEC filings • Industry databases • News releases from company websites • Government policy documents • Industry analysts' views While the focus has been on forecasting the market till 2030, the report also provides our independent view on various non-commercial trends emerging in the industry. This opinion is solely based on our knowledge, research and understanding of the relevant market gathered from various secondary and primary sources of information. CHAPTER OUTLINES Chapter 2 is an executive summary of the insights captured in our research. It offers a high-level view on the likely evolution of the blockchain technology in genomic data management market in the short to mid-term and long-term. Chapter 3 is an introductory chapter that provides a brief overview of the concept of blockchain technology and its applications in various sectors, with a detailed discussion on the applications and the challenges related to the use of blockchain technology in the healthcare industry. The chapter includes a discussion on the historical evolution in the area of genetic sequencing and genetic testing and provides information on the growing importance of sharing / storing / analyzing genomic information through blockchain platforms. Further, it presents a brief overview of the cryptocurrencies and utility tokens, process of token distribution events and the role of compression tools for analyzing huge volume of genomic data. The chapter also highlights the various advantages and limitations associated with the use of blockchain platforms for managing / analyzing genomic data. Chapter 4 includes a comprehensive market landscape analysis of companies offering blockchain platforms for the storage and management of genomic data. The chapter features analysis of these players on the basis of their year of establishment, geographical location, company size, type of business model used, types of services offered (such as genomic data protection / storage, full genomic sequencing, genetic counselling, genomic data analysis and others), proprietary blockchain platforms and utility tokens, and end-users (pharmaceutical companies, research institutes, genomic data providers (patients and healthy individuals), software developers, and insurers. Chapter 5 provides tabulated profiles of all the players engaged in this field. Each profile features details on company headquarters, year of establishment, number of employees, key executives, funding (if available), types of service(s) offered, proprietary blockchain platforms and utility tokens, key historical milestones, information on partnership(s) (if available), recent development(s), and roadmaps / future plans (if available). Chapter 6 provides insights on the popularity of blockchain platforms, related to the storage and management of genomic data, on the social media platform, Twitter. The section highlights the quarterly distribution of tweets posted in the time period January 2015-August 2018, and the most significant events responsible for increase in the volume of tweets each year. Additionally, the chapter showcases the most frequently mentioned keywords, most talked about utility tokens, and active players, on the social media platform. It elucidates the most prolific contributors and presents a bubble analysis of the most influential contributors related to this domain on Twitter. The chapter also presents an insightful sentiment analysis, summarizing the impact / influence of various tweets posted on the platform. Chapter 7 presents information on the needs of different stakeholders (pharmaceutical companies, research institutes, patients, healthy individuals, insurers and government agencies) in this industry. The chapter qualitatively assesses the needs of each stakeholder group and the relative importance of their expectations within this domain. Chapter 8 features a detailed case study highlighting the go-to-market strategies adopted by companies engaged in this space. It presents insightful information on important marketing strategies, such as inbound marketing through social media platforms and online / print media, promotional activities through official websites, and business models used by various players in the market. Chapter 9 provides an insightful bubble analysis, highlighting the market capitalization of the companies engaged in this domain, based on their proprietary utility tokens. For the purpose of this analysis, we considered several relevant parameters, including total maximum supply, circulation supply, and token price (in USD), of each of the aforementioned utility tokens. Chapter 10 provides a comprehensive list of recent use cases of blockchain platforms, by pharmaceutical companies, highlighting the ways in which such tools / services have been used to manage and analyze genomic data. In addition, the chapter presents an insightful opportunity analysis, featuring an estimation of the existing market size; based on multiple parameters, we have provided an informed estimate on the potential growth opportunities for companies engaged in this domain over the period 2018-2030. Chapter 11 highlights a detailed assessment of various developments / recent trends related to companies offering blockchain platforms for genomic data management. This analysis presented in this chapter were focused on understanding the applications and challenges associated with the use of blockchain platforms for genomic data management and the future opportunity for these business models within the healthcare industry. The analysis offer insights on [A] instances wherein companies have raised funds to support their respective initiatives, [B] partnership and collaborations established within the industry, [C] other initiatives undertaken by different companies, [D] recent global events (summits, conferences and annual meetings), and [E] views expressed / opinions of selected key opinion leaders / industry experts on social media platforms, such as YouTube. Chapter 12 is a collection of executive insights of the discussions that were held with key stakeholders in this market. The chapter provides a brief overview of the companies and details of interviews held with David Koepsell (Chief Executive Officer, EncrypGen), Jake Dreier (Director of Growth and Operations, SimplyVital Health) and Aldo de Pape (Chief Executive Officer, Genomes.io) and Louis Gooden (Analyst, Genomes.io). Chapter 13 is an appendix, which provides tabulated data and numbers for all the figures provided in the report. Chapter 14 is an appendix, which contains the list of companies and organizations mentioned in the report. EXAMPLE HIGHLIGHTS 1. 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. 2. 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. 3. 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 counselling (27%), exclusively to data owners. Further, the services offered to data buyers include access to genomic datasets and genomic data analysis. 4. 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. 5. 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. 6. 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. 7. 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. Read the full report: https://www.reportlinker.com/p05663441 About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place. __________________________ Contact Clare: [email protected] US: (339)-368-6001 Intl: +1 339-368-6001 View original content:http://www.prnewswire.com/news-releases/blockchain-in-genomic-data-management-market-landscape-and-competitive-insights-2018-2030-300769800.html SOURCE Reportlinker |