The recent Global Artificial Intelligence In Genomics Market study by MarkNtel Advisors aims to help readers grasp the whole scenario of the market and the most profitable areas. The report takes a numbers-based approach, breaking down precise data in a straightforward way. It consists information of all the period – past, present, and future. The report covers important topics like customer behavior, industry size, share, ongoing trends, market segments, and leading companies and other valuable aspects related to the industry.
The Global Artificial Intelligence in Genomics Market is poised to grow at a CAGR of around 53% during the forecast period, i.e., 2023-28. The growth of the market is projected to be propelled mainly by the rapidly growing genomic data volume, ever-increasing adoption of precision medicine, significant advancements in AI Technologies, and the integration of multi-omics data, which includes genomic, transcriptomic, proteomic, & epigenomic data.
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Immense Potential of AI to Transform Genomics Research & Healthcare - Genomics research generates massive & complex datasets, which include DNA sequences, gene expression profiles, and epigenetic data, which AI algorithms can handle & analyze at an unprecedented scale & speed by identifying patterns, detecting genomic variants, predicting gene functions, and uncovering hidden relationships within the data in order to provide valuable insights for researchers & clinicians. Moreover, AI algorithms can also analyze genomic variants identified through sequencing to understand their potential impact on health & disease. By classifying variants, predicting their functional consequences, and prioritizing them for further investigation, AI can help identify disease-causing mutations and enable more accurate diagnoses as well as personalized treatment decisions. Hence, in this manner, AI holds enormous potential to transform genomics research and the entire healthcare industry and, consequently, drive the Global Artificial Intelligence in Genomics Market during 2023-28.
The report carefully breaks down the market into different sections, as outlined in the table of content. Each section has a detailed analytics, including sub-sections that spotlight both current and past market sizes. The analysis strives to spot opportunities for quick growth, particularly in the Artificial Intelligence In Genomics Market.
· By Offering
o Softwares
o Services
· By Technology
o Machine Learning
§ Deep Learning
o Other Technologies
· By Functionality
o Gene Editing
o Genome Sequencing
o Predictive Genetic Testing & Preventive Medicine
· By Application
o Diagnostics
o Precision Medicine
o Drug Discovery & Development
o Agriculture & Animal Research
· By End User
o Pharmaceutical Companies
o Research Centers, Academic Institutes
o Healthcare Providers
o Government Organizations
· By Region
o North America
o South America
o Europe
o Middle East & Africa
o Asia Pacific
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A thorough examination of competitors' market share, significant advancements, and key business strategies are discussed under this section. This examination takes into account factors such as overall revenue, market potential, global reach, production capabilities, market initiatives, corporate finances, production facilities, strengths and weaknesses, and investments in research and development.
This report focus on major market participants, including:
· Deep Genomics Inc.
· IBM
· Microsoft Corporation
· Fabric Genomics, Inc.
· Verge Analytics, Inc.
· FDNA Inc.
· Benevolent AI
· Freenome Holdings, Inc.
· SOPHIA GENETICS
· Ardigen
· Congenica Ltd.
· Lantern Pharma, Inc.
· MolecularMatch, Inc.
· Empiric Logic Limited
· Lifebit
scrutinizing their strategies like expansion, partnerships, the development of new products, collaborations, and mergers/acquisitions to uphold their positions in the market.
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2. https://tach-amit.blogspot.com/2023/12/agricultural-pheromones-market-insight.html
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