What is AI in Genomics?

AI in genomics refers to the integration of artificial intelligence technologies, such as machine learning and deep learning, to analyze, interpret, and gain insights from genomic data, aiding in understanding genetic influences on health, disease, and drug response.

How big is the AI in Genomics Market?

The global AI in Genomics Market size was estimated at USD 733.4 Million in 2023 and is expected to reach USD 35267.3 Million in 2033.

What is the AI in Genomics Market growth?

The global AI in Genomics Market is expected to grow at a compound annual growth rate of 47.3%. From 2024 To 2033

Who are the key companies/players in the AI in Genomics Market?

Some of the key players in the AI in Genomics Markets are IBM, Microsoft Corporation, NVIDIA Corporation, DEEP GENOMICS, Data4Cure, Inc., Freenome Holdings, Inc., Thermo Fisher Scientific, Illumina, Inc., SOPHiA GENETICS, BenevolentAI, Fabric Genomics and Other Key Players.

Why is AI important in genomics?

AI is crucial in genomics for managing vast amounts of genetic data, enhancing the accuracy of genomic analysis, speeding up genetic discoveries, and facilitating personalized medicine by predicting disease risk and tailoring treatment to individual genetic profiles.

How does AI enhance genomic research?

AI enhances genomic research by providing advanced tools for analyzing genetic sequences, identifying patterns and mutations, predicting disease associations, and enabling more efficient and cost-effective genomic studies.

What is the potential impact of AI on personalized medicine?

AI has the potential to revolutionize personalized medicine by enabling more precise genetic risk assessments, tailored treatment plans, and the development of targeted therapies based on individual genetic profiles.