The latest report by MarkNtel Advisors, titled “Artificial Intelligence In Genomics Market Report By Material Type (Silver Nanoparticles, Zinc and Zinc Oxide Nanoparticles, Titanium Dioxide Nanoparticles, Silicon Dioxide Nanoparticles, Others (Protein Nanoparticles, etc.)), By Application (Food & Beverage Processing, Food & Beverage Packaging, Food & Beverage Testing), other and Region 2023-2028”, offers a comprehensive analysis of the industry, which comprises insights on the Artificial Intelligence In Genomics Market research report.
What is the market outlook for Artificial Intelligence In Genomics?
The Artificial Intelligence In Genomics Market size is estimated to grow at a CAGR of around 53% during the forecast period 2023–28.
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Major Companies Operating in the Artificial Intelligence In Genomics Industry:
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
Artificial Intelligence In Genomics Market Report Segmentation:
By Offering
-Softwares
-Services
By Technology
-Machine Learning
–Deep Learning
-Other Technologies
By Functionality
-Gene Editing
-Genome Sequencing
-Predictive Genetic Testing & Preventive Medicine
- Of these three, genome sequencing, particularly NGS (Next-generation Sequencing) technologies, is projected to dominate the Global Artificial Intelligence in Genomics Market with the largest revenue share during 2023-28.
By Application
-Diagnostics
-Precision Medicine
-Drug Discovery & Development
-Agriculture & Animal Research
By End User
-Pharmaceutical Companies
-Research Centers, Academic Institutes
-Healthcare Providers
-Government Organizations
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Regional Insights:
- North America: USA, Canada, Mexico
- Europe: Germany, UK, France, Italy, Spain, Russia
- Asia-Pacific: China, India, Japan, South Korea, Australia and Others
- South America: Brazil, and Argentina
- Middle East & Africa: GCC, South Africa
Key Drivers: 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.
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