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The AI in Genomics market was valued at $137.0 Million in 2022, and is projected to reach $10,392.5 Million by 2032 growing at a CAGR of 54.27% from 2023 to 2032.The AI in genomics market is expected to grow significantly in the coming years due to the increasing adoption of genomics in precision medicine, the growing volume of genomic data, and the increasing availability of compute power and AI technologies. Some of the key drivers of this market include: The increasing adoption of genomics in precision medicine: The use of genomics in precision medicine allows for the development of targeted therapies and diagnostic tests that are tailored to the specific genetic makeup of an individual. This is expected to drive demand for AI in genomics as it can help in the analysis and interpretation of genomic data. The growing volume of genomic data: The increasing availability of high-throughput sequencing technologies has led to the generation of large volumes of genomic data. AI technologies can help in the analysis and interpretation of this data, which is expected to drive demand for AI in genomics. The increasing availability of compute power and AI technologies: The increasing availability of compute power and AI technologies has made it possible to process and analyze large volumes of genomic data in a short period of time. This is expected to drive demand for AI in genomics. Some of the top companies in the AI in genomics market include: IBM: IBM has developed several AI-powered genomics solutions, including the Watson for Genomics platform, which helps in the analysis and interpretation of genomic data. Google: Google has developed several AI-powered genomics solutions, including the DeepVariant tool, which uses machine learning to improve the accuracy of genomic variant calling. Microsoft: Microsoft has developed several AI-powered genomics solutions, including the Azure for Genomics platform, which helps in the analysis and interpretation of genomic data. Illumina: Illumina has developed several AI-powered genomics solutions, including the BaseSpace Sequence Hub, which helps in the analysis and interpretation of genomic data. BGI: BGI has developed several AI-powered genomics solutions, including the DNA Cloud Computing platform, which helps in the analysis and interpretation of genomic data.