Accurate information and innovative corporate analysis are provided in the Artificial Intelligence In Genomics Market research report to assist businesses of all sizes in making wise decisions. The worldwide market outlook for emerging and developed markets is also included in the research on Artificial Intelligence In Genomics. The report also looks into the areas and countries that are anticipated to experience the fastest growth rates over the course of the projection period.
The research report on Artificial Intelligence In Genomics also offers insights into the various geographic areas contributing to market expansion. The competitive environment is also a part of it, and leading businesses are using tactics to disclose partnerships and collaborations to support market expansion.
The global artificial intelligence in genomics market is projected to reach USD 14.61 billion by 2029 from USD 8.34 billion in 2022, at a CAGR of 6.1% from 2023 to 2029.
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The report provides a comprehensive analysis of company profiles listed below: IBM, Microsoft, NVIDIA Corporation, Deep Genomics, BenevolentAI, Fabric Genomics Inc., Verge Genomics, Freenome Holdings, Inc., MolecularMatch Inc., and Cambridge Cancer Genomics, and others.
Key Segments
Artificial Intelligence In Genomics Market By Offering, 2022-2029, (USD Million)
Software
Services
Artificial Intelligence In Genomics Market By Technology, 2022-2029, (USD Million)
Machine Learning
Computer Vision
Artificial Intelligence In Genomics Market By Functionality, 2022-2029, (USD Million)
Genome Sequencing
Gene Editing
Gene Mapping
The study report provides a thorough analysis of the global market for Artificial Intelligence In Genomics, including regional and country-level market size analysis, CAGR estimation of market growth over the projected period, revenue, important driving factors, competition landscape, and payer sales analysis. The article also discusses the main risks and difficulties that will be present during the projected period. The market for Artificial Intelligence In Genomics is divided into types and applications. Players, stakeholders, and other market participants will be able to acquire the upper hand by utilising the research as a valuable resource.
The study's analysis of the effects of the COVID 19 outbreak:
We have done a thorough analysis of market patterns in the context of the COVID-19 outbreak, notably taking the pandemic's effects into account. Our evaluation includes COVID-19's effects on the entire supply chain of the manufacturing industry, taking into account both the upstream and downstream markets. We have also assessed the effects on certain areas and important countries.
We have also determined how COVID-19 will affect the future expansion and development of the sector. Our study explores the following topics:
Assessing the risks and opportunities related to the market's behaviour in response to the pandemic, we look at how it has changed over time.
End Industry Behaviour and Opportunity Assessment: In this section, we look at how the end industry is acting and assess the prospects that might be there in this challenging period.
Scope of this Report:
• The global market for Artificial Intelligence In Genomics is thoroughly segmented in this study, and it offers the most accurate estimates of revenues for both the overall market and its sub-segments across various industries and geographical areas.
• The research investigation gives stakeholders insight into the market's pulse and informs them of the main market drivers, restraints, challenges, and opportunities.
• The results of this research will assist stakeholders in better comprehending competitors and gaining more knowledge to strengthen their position in respective industries. The rival ecosystem, new product development, agreements, and acquisitions are all included in the section on the competitive landscape.
#Customization Service of the Report:
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