AI in Genomics Industry worth $1,671 million by 2025

in artificial •  3 years ago 

The increasing public and private investments in AI in genomics, and the adoption of AI solutions in precision medicine, need to control drug development and discovery costs and time are driving the growth of this market. However, the lack of a skilled AI workforce and ambiguous regulatory guidelines for medical software are expected to restrain the market growth during the forecast period.

According to the new market research report AI In Genomics Market is projected to reach $1,671 million by 2025, at a CAGR of 52.7% between 2020 and 2025

The machine learning segment dominated this market in 2019, as pharmaceutical companies, CROs, and biotechnology companies have widely adopted machine learning for drug genomics applications. Based on technology, the Artificial Intelligence in Genomics Market is segmented into machine learning and other technologies. This is because machine learning can extract insights from data sets, accelerating genomic research.

Diagnostics was the largest application segment in genomics market in 2019. Based on application, the Artificial Intelligence in Genomics Market is segmented into diagnostics, drug discovery & development, precision medicine, agriculture & animal research, and other applications. The large share of this segment can be attributed to the increasing research on diseases and the decreasing cost of sequencing.

Prominent players in the AI in Genomics Market are IBM (US), Microsoft (US), BenevolentAI (UK), Fabric Genomics Inc. (US), NVIDIA Corporation (US), Deep Genomics (Canada), Verge Genomics (US), Freenome Holdings, Inc. (US), MolecularMatch Inc. (US), SOPHiA GENETICS (US), Cambridge Cancer Genomics (UK), Data4Cure Inc. (US), PrecisionLife Ltd (UK),Genoox Ltd. (US), Lifebit (UK), Diploid (Belgium), FDNA Inc. (US), DNAnexus Inc. (US), Empiric Logic (Ireland), Engine Biosciences Pte. Ltd. (US).

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=36649899

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