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The Artificial Intelligence in Genomics Market is projected to grow from USD 1.15 billion in 2023 to USD 13.65 billion by 2029, with a remarkable CAGR of 51.03%. Major players like Fabric Genomics, IBM, Microsoft, and NVIDIA are leading this competitive landscape, leveraging advanced AI technologies to enhance drug discovery and healthcare R&D. The integration of AI in genomics is driving significant advancements in personalized medicine and genomic data analysis.
North America dominates the market, expected to experience the highest growth rate due to its strong focus on AI in healthcare and agriculture. The rapid advancements in AI-driven algorithms for genome sequencing and CRISPR technology are transforming how genetic data is analyzed and utilized. This evolution not only enhances treatment efficacy but also opens new avenues for innovation in various fields, including cancer treatment and sustainable agriculture.
• AI in genomics market expected to grow significantly by 2029.
• North America leads in AI integration for healthcare advancements.
Genomics is crucial for understanding genetic diseases and developing personalized medicine strategies.
AI enhances CRISPR's precision, reducing off-target effects in gene editing.
This approach is increasingly supported by AI-driven genomic analysis.
Fabric Genomics is pivotal in advancing personalized medicine through its innovative solutions.
IBM's contributions to AI in genomics are significant in enhancing drug discovery and healthcare research.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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