Global Artificial Intelligence in Genomics market is expected to grow at a CAGR of 53% during 2021-2026

According to the MarkNtel Advisors' research report, "Global Artificial Intelligence in Genomics Market Analysis, 2021," the market is expected to grow at a CAGR of 53% during 2021-26. AI enables the efficient interpretation of large complex datasets and decreases the time for finding novel therapies. Therefore, AI in genomics facilitates the development and the discovery of novel therapeutics.

It understands the genomic variations regarding health and diseases and further accelerates the discovery of genomic medicines. The benefits of combining AI with genomics will yield incredible growth opportunities to drive the market in the forecast period.

Get a sample copy of the report: https://www.marknteladvisors.com/query/request-sample/global-artificial-intelligence-in-genomics-market.html

Key questions answered in the study
1. What are the current and future trends in Global Artificial Intelligence in the Genomics market?
2. How has the industry been evolving in terms of geography and services adoption?
3. How has the competition been shaping across the countries, followed by their comparative factorial indexing?
4. What are the key growth drivers and challenges for Global Artificial Intelligence in the Genomics market?
5. What are the customer orientation, purchase behavior, and expectations from the Global Artificial Intelligence in Genomics market service providers across various regions?

Deep Learning Segment Shows Substantial Growth
Based on the Technology, the Deep learning segment will grow at a substantial rate during the forecast period. It is a subset of machine learning with a higher capacity for analyzing complex relationships in datasets.

Deep learning has witnessed great success in image processing and when there's a large amount of data. In this respect, it becomes entirely suitable in various fields, such as cancer diagnosis and treatment, population genetics, evolutionary or phylogenetic analyses, and clinical genetics.

"Global Artificial Intelligence in Genomics Market Analysis, 2021" offers comprehensive qualitative and quantitative insights on the market potential, key factors impacting the market growth, hotspots, and opportunities available for Artificial Intelligence in Genomics providers across the globe.

Moreover, the report also encompasses the key strategic imperatives for the competitors' success and strategic factorial indexing measuring competitors' capabilities on 16 parameters, which will help companies formulate 'Go to Market' strategies and identify the blue ocean for their offerings.

For detailed analysis: https://www.marknteladvisors.com/research-library/global-artificial-intelligence-in-genomics-market.html

Precision Medicine Exhibits Fastest Growth

Based on the Application, the market is into Drug Discovery & Development, Agriculture & Animal Research, Precision Medicine, Diagnostics, and Other Applications. Among these, the Precision Medicine segment will grow at a considerable rate over the forecast period. There is a surge in the complexity of those diseases for which no treatment is available.

Further, a significant amount of data and uncertainty regarding the genetic pathway involved in developing these diseases motivates the use of artificial intelligence to obtain meaningful results from the data and reduces the cost of R&D in drug design, thus, prompting the use of precision medicine.

Thus, the segment is likely to contribute to the growth of Global Artificial Intelligence in the Genomics market in the forecast period, says MarkNtel Advisors' in their research report, "Global Artificial Intelligence in Genomics Market Analysis, 2021."

According to MarkNtel Advisors, the major leading players in the global Artificial Intelligence in Genomics market are Empiric Logic, BenevolentAI limited, IBM., Verge Genomics, Nvidia, Deep Genomics, Molecularmatch, FDNA, Sophia Genetics, Genoox, etc.

Market Segmentation:
1. By Offering (Software, Services)
2. By Technology (Machine Learning (Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning), Others)
3. By Functionality (Genome Sequencing, Gene Editing, Clinical Workflows, Predictive Genetic Testing & Preventive Medicine)
4. By Application (Diagnostics, Drug Discovery & Development, Precision Medicine, Agriculture & Animal Research, Other Applications)
5. By End-User (Pharmaceutical & Biotech Companies, Healthcare Providers, Research Centers, Academic Institutes, Government Organizations, Other End Users)
6. By Region (North America, Latin America, Europe, Asia-Pacific, Middle East, and Africa)
7. By Country (U.S, Canada, Brazil, Mexico, Germany, France, The U.K, Spain, Italy, China, India, Japan, Australia, Saudi Arabia, South Africa)
8. By Competitors (IBM., Nvidia, Deep Genomics, BenevolentAI limited, Verge Genomics, Molecularmatch, Sophia Genetics, Genoox, FDNA, Empiric Logic, etc.)

MarkNtel Advisors
Office No.106, H-160, Noida - 63, UP- 201301
India
Email: sales@marknteladvisors.com
Tel: +91 120 4185243
Website: https://www.marknteladvisors.com

MarkNtel Advisors is a leading research, consulting and data analytics firm that provides a wide range of strategic reports on diverse industry verticals to a substantial and varied client base that includes multinational corporations, financial institutions, governments, and individuals.

We specialize in niche industries and emerging geographies to support our clients in the formulation of strategies viz. Go to Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, trend analysis, etc. in around 15 industry verticals to enable our clients in identifying attractive investment opportunities and maximizing ROI through an early mover advantage.

This release was published on openPR.