Market Size, Growth & Valuation (2023-30)

Artificial Intelligence in Genomics Market is poised to grow at a CAGR of around 53% during the forecast period, i.e., 2023-28.

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Artificial Intelligence In Genomics Market Structure – Segmentation & Geography

By Offering

• Softwares
• Services

By Technology

• Machine Learning
  • Deep Learning
• Other Technologies

By Functionality

• Gene Editing
• Genome Sequencing
• Predictive Genetic Testing & Preventive Medicine

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

Here, pharmaceutical companies hold a prominent market share owing to various initiatives & investments. 

By Region

• North America
• South America
• Europe
• Middle East & Africa
• Asia Pacific.

North America dominates the Artificial Intelligence in Genomics Market. It owes to various aspects like the strong presence of pharma & biotech companies, favorable regulations for genomics & AI innovations, state-of-the-art research infrastructure, as well as massive funding in the field of genomics & AI.

Key Growth Trends (2023-2028)

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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Research Methodology

MarkNtel Advisors employs a thorough and iterative research methodology to enhance accuracy in market estimates. Our process combines bottom-up and top-down approaches, focusing on data triangulation for validation. It includes defining research objectives, selecting representative samples, and collecting data through surveys and interviews. Post-collection, we analyze and validate the data using statistical tools, ensuring reliability. Finally, we forecast market trends through predictive modeling, compiling our insights into detailed reports with charts and strategic recommendations for informed decision-making.

Competitive Analysis Framework

The Artificial Intelligence In Genomics industry is moderately fragmented, with key players focusing on technological advancements and strategic partnerships. A detailed competitive analysis helps businesses benchmark against industry leaders and identify growth opportunities.

Leading Artificial Intelligence In Genomics Companies 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.

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Key Questions Answered in This Report:

1. What is the current market size of Artificial Intelligence In Genomics, and what growth rate is projected by 2028?
2. Which key trends are driving Artificial Intelligence In Genomics market expansion in the next five years?
3. How does market segmentation impact industry dynamics?
4. Which geographic regions offer the highest growth potential?
5. What are the primary challenges hindering Artificial Intelligence In Genomics industry growth?
6. How do regulatory policies influence market development?
7. What are the latest technological advancements impacting the sector?
8. Who are the leading Artificial Intelligence In Genomics companies, and what are their market shares?
9. What strategies are top competitors adopting to maintain dominance?
10. What are the emerging niche segments with high growth potential?
11. How do macroeconomic factors affect market performance?
12. What are the investment opportunities for new entrants?
13. How does pricing strategy vary across different market segments?
14. What are the future innovation trends expected in this industry?

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