Artificial Intelligence In Genomics Market Size, Share, Trends, Demand, Growth and Competitive Analysis| MarkNtel
MarkNtel Advisors
recently published a detailed industry analysis of the Artificial Intelligence In Genomics Market. The report covers
growth trends, geographical marketing strategies, challenges, opportunities,
and drivers influencing the market.
Artificial Intelligence In Genomics Market
Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2028
The Artificial Intelligence In Genomics Market is poised to
grow at a CAGR of around 53% during the forecast period, i.e., 2023-28.
What are
the major Driver the Artificial Intelligence In Genomics industry?
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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What segments define the Artificial
Intelligence In Genomics market from 2023 to 2028? How do these segments
contribute to market dynamics and growth?
- By
Offering
- Softwares
- Services
- By
Technology
- Machine Learning
- Deep Learning
- Other Technologies
- By
Functionality
- Gene Editing
- Genome Sequencing
- Predictive Genetic Testing & Preventive Medicine
According to report, 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
According to report, Here, pharmaceutical
companies hold a prominent market share owing to various initiatives &
investments.
Explore the Complete Artificial Intelligence
In Genomics Market Analysis Report – https://www.marknteladvisors.com/research-library/global-artificial-intelligence-in-genomics-market.html
Geographical Analysis: Artificial
Intelligence In Genomics Market
o North America
o Europe
o Asia-Pacific
o South America
o Middle East & Africa
Artificial Intelligence In Genomics Market Share
& Competitive Landscape:
The Artificial
Intelligence In Genomics Market is characterized by intense competition, with
several key players driving growth through innovation, market expansion, and
strategic investments. The competitive landscape provides valuable insights
into the industry's leading companies, highlighting their strengths, financial
performance, and market influence.
Leading Companies in the Artificial
Intelligence In Genomics Market
are:
- 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 Industry Recent Development:
- In June 2022, Ultima
Genomics & Nvidia announced their collaboration
that leverages AI across multiple stages of the DNA sequencing &
analysis process. The partnership includes the use of Nvidia GPUs for deep
learning in photometry & base calling and will soon include
acceleration of variant calling.
- In 21 March 2022, IBM and
Genomics England entered a new partnership to transform patient
care. IBM is selected as a strategic technology partner for Genomics
England over 18 months to support the enable the consumption of AWS cloud
services & AI capabilities.
- In March 2022, Boehringer
Ingelheim, the leading research-driven biopharmaceutical company,
partnered with Lifebit Biotech, Ltd. (Lifebit), a precision
medicine software company, in which Lifebit will support Boehringer
Ingelheim in building a scalable data, analytics, & infrastructure
platform within its IT environment.
Questions Addressed in this Study
1.What factors are
driving the Artificial Intelligence In Genomics Market growth?
2.How is the Artificial
Intelligence In Genomics Market expected to grow over the next five years?
3.What are the key
insights into the current trends in the Artificial Intelligence In Genomics
Market?
4.What is the
current size of the Artificial Intelligence In Genomics Market, and how is it
projected to change in the future?
6.What is the
future outlook for the Artificial Intelligence In Genomics Market in terms of
technological advancements and market expansion?
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