Hospital Capacity Management Solutions Market SWOT Analysis including Top Players - IBM, Cambridge Cancer Genomics, NVIDIA Corporation, Verge Genomics, Molecular Match, Deep Genomics

The "Artificial Intelligence in Genomics Market Report" provides a comprehensive analysis of the current and future trends in the intersection of artificial intelligence (AI) and genomics. This report aims to shed light on the potential impact of AI on genomics research, diagnostics, drug discovery, and personalized medicine.

The market size of Artificial Intelligence in Genomics was valued at USD 464.50 million in 2022. It is projected to reach USD 13,096 million by 2030, with a compound annual growth rate (CAGR) of 51.8% during the forecast period from 2023 to 2030.

Artificial Intelligence (AI) has emerged as a transformative force in the field of genomics, revolutionizing the way we understand and analyze genetic data. The integration of AI technologies with genomics has unlocked new possibilities for personalized medicine, drug discovery, and disease prevention.

With the increasing availability of genomic data and advancements in AI algorithms, the market for AI in genomics is poised for remarkable growth. The exponential rise in genomic data generation, coupled with the need for efficient analysis and interpretation, has created a strong demand for AI-powered solutions.

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The projected market value of USD 13,096 million by 2030 reflects the immense potential and widespread adoption of AI in genomics. This growth trajectory is driven by several factors, including the rising prevalence of genetic disorders, the need for precision medicine, and the growing importance of genomics in drug development.

Furthermore, the ability of AI to analyze vast amounts of genomic data at an unprecedented speed and accuracy has significantly accelerated research and development efforts. It enables researchers and clinicians to identify disease biomarkers, predict treatment outcomes, and develop targeted therapies tailored to individual patients.

Major Players Listed in the Report are as Follows:
IBM, Cambridge Cancer Genomics, NVIDIA Corporation, Verge Genomics, Molecular Match Inc., Deep Genomics, Microsoft, Free nome Holdings, Inc., Benevolent AI, Fabric Genomics Inc. and Other Players.

Artificial Intelligence in Genomics Market Segmentation as Follows:

By Offering Type
• Software
• Services

By Technology
• Machine Learning
• Deep Learning
• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning

By Functionality
• Genome Sequencing
• Gene Editing
• Clinical Workflows
• Predictive Genetic Testing & Preventive Medicine

By end user
• Pharmaceutical & Biotech Companies
• Healthcare Providers
• Research Centers, Academic Institutes, &
• Government Organizations

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The forecasted CAGR of 51.8% over the period from 2023 to 2030 underscores the rapid pace at which AI in genomics is expected to expand. This growth is fueled by continuous technological advancements, such as deep learning algorithms, natural language processing, and cloud computing, which enhance the capabilities of AI in genomics.

In conclusion, the market for Artificial Intelligence in Genomics is poised for substantial growth, with a projected value of USD 13,096 million by 2030 and a CAGR of 51. The rapid pace at which AI in genomics is expected to expand, with a projected growth of 8% over the period from 2023 to 2030, is a clear indication of the significant advancements in this field. This growth is primarily fueled by continuous technological advancements, such as deep learning algorithms, natural language processing, and cloud computing, which greatly enhance the capabilities of AI in genomics. With these advancements, AI is revolutionizing the way genomic data is analyzed and interpreted, leading to more accurate diagnoses, personalized treatments, and improved patient outcomes. As a result, the market for Artificial Intelligence in Genomics is poised for substantial growth, with a projected value of USD 13,096 million by 2030 and an impressive compound annual growth rate (CAGR) of 51%. 8%

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Table of Content
Chapter 1 Introduction
Chapter 2 Research Methodology
Chapter 3 Artificial Intelligence in Genomics Market Dynamics
Chapter 4 Impact Analysis (COVID-19, Ukraine- Russia war, Ongoing Recession on Major Economies)
Chapter 5 Value Chain Analysis
Chapter 6 Porter's 5 forces model
Chapter 7 PEST Analysis
Chapter 8 Artificial Intelligence in Genomics Market Segmentation, By Offering Type
Chapter 9 Artificial Intelligence in Genomics Market Segmentation, By Technology
Chapter 10 Artificial Intelligence in Genomics Market Segmentation, By Functionality
Chapter 11 Artificial Intelligence in Genomics Market Segmentation, By End User
Chapter 12 Regional Analysis
Chapter 13 Company profile
Chapter 14 Competitive Landscape
Chapter 15 Use Case and Best Practices
Chapter 16 Conclusion

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This release was published on openPR.