Artificial Intelligence In Genomics Market Projected to Expand at 53% CAGR Through 2028

The Global Artificial Intelligence in Genomics Market is poised to grow at a CAGR of around 53% during the forecast period, i.e., 2023-28. The growth of the market is projected to be propelled mainly by the rapidly growing genomic data volume, ever-increasing adoption of precision medicine, significant advancements in AI Technologies, and the integration of multi-omics data, which includes genomic, transcriptomic, proteomic, & epigenomic data. Besides, the mounting demand for efficient drug discovery & development, various partnerships between academic institutes, bio-pharma companies, and technology firms, and the growing supportive regulatory environment are other prominent aspects projected enhance the Global Artificial Intelligence in Genomics Market size in the future.

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Strategic Takeaways from the Report:

• Market Sizing and Forecasting
• Regulatory and Policy Influence
• Competitive Trends and M&A Activity
• Innovation Drivers and Disruptive Technologies
• Investment Hotspots and Emerging Niches
• Geographical Dynamics and Trade Flows

Artificial Intelligence In Genomics Market Segment Overview & Classification

This market is categorized to offer targeted insights across various operational and consumer-related verticals.

Segment List:

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. The use of AI in genomics has sped up the process of sequencing genomes to find genetic patterns. Various companies in this domain are collaborating with AI providers to accelerate such procedures. 

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. These companies generate massive amounts of genomic data through their R&D activities, clinical trials, & collaborations and leverage AI algorithms & tools to analyze this data, extract meaningful insights, and discover new drug targets, biomarkers, & therapeutic approaches.

By Region

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

Of all regions globally, 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. Besides, the presence of vast genomic data resources, increasing collaborations among industry participants, academic institutions, & technology companies, and the early adoption of advanced technologies like AI & their integration into genomics research & clinical applications are other prominent aspects driving the regional market.

These divisions help clarify demand patterns and expected shifts.

Market Driver

 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.

Artificial Intelligence In Genomics Market Competitive Snapshot from 2023-2028

The report highlights established and emerging players in the global Artificial Intelligence In Genomics Market, evaluating their strengths, challenges, and potential for innovation.

Key Competitors Include:

• 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.

Their activities include partnerships, product launches, and geographic expansions.

Artificial Intelligence In Genomics Industry Prime Challenge

Lack of Standardization and Data Privacy & Security Concerns - Since genomic data contain sensitive & personal information, its security & privacy are significant concerns. The use of AI in genomics relies on large-scale genomic datasets, which is why ensuring their privacy & security is critical. Currently, concerns regarding data breaches, unauthorized access, & misuse of genomic data are impacting the adoption of AI-based genomics solutions, particularly in healthcare settings where patient data protection is of utmost importance. Moreover, as the field of AI in genomics is still evolving, there is a lack of standardized approaches & methodologies, which are essential to ensure interoperability, comparability, & reproducibility of results across different AI-based genomics tools & platforms, which otherwise could lead to variations in data analysis & interpretation. Hence, these aspects are projected to hamper the Global Artificial Intelligence in Genomics Market through 2028.

Frequently Asked Questions (FAQs):

• What industries are most impacted by this market?
• How is technology reshaping operations and offerings?
• Which competitors dominate the landscape?
• What risks could disrupt market expansion?
• How should businesses respond to demand fluctuations?

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