The Global AI in Omics Studies Market encompasses artificial intelligence tools and services that help in analysis, interpretation, and integration of large and complex omics datasets generated during genomics, proteomics, metabolomics, and other multi-omics studies. AI has emerged as a powerful tool for analyzing genomic data and has enabled the discovery of clinically-relevant biomarkers, disease subtypes, and treatment strategies. It also helps in predictive modeling, precision medicine, and drug discovery by identifying patterns in genomic datasets. The increasing availability of large genomic datasets and the need for advanced analytical capabilities is propelling the demand for AI in omics studies.

The Global AI in Omics Studies Market is estimated to be valued at US$ 1118.17 Mn in 2024 and is expected to exhibit a CAGR of 35% over the forecast period 2024 To 2031.

Key Takeaways

Key players operating in the Global AI in Omics Studies Market are Thermo Fisher Scientific, Agilent Technologies, Illumina, BGI Genomics, Dassault Systèmes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc., Bruker, and Danaher.

Key opportunities in the market include increasing application of AI for precision medicine and drug development. AI is also expected to accelerate research in multi-omics by enabling comprehensive analysis of pan-omics datasets.

The growing applications of AI and machine learning in pharmaceutical and biotech industries is expected to drive the global expansion of the AI in Omics Studies Market during the forecast period.

Market Drivers

The rising AI In Omics Studies Market Size for genomic data analytics from clinical research, biopharmaceutical companies, and healthcare providers is a major driver of the AI in Omics Studies Market. AI helps in identifying complex patterns, relationships, and insights from huge volumes of genomic data that were previously undecipherable. This is supporting the development of effective biomarkers and personalized treatment strategies. Moreover, the reducing costs of genome sequencing and growing funding for genome projects are also expected to boost the adoption of AI in omics studies across the globe.

PEST Analysis

Political: The AI in omics studies market is governed by various regulations regarding ethical use of AI, data privacy and security. Regulations around clinical trials and approval processes also impact this market.

Economic: Funding and investments in genomics and precision medicine are driving growth in this market. However, the high costs involved in genomic research and omics studies also pose a challenge for growth.

Social: Growing awareness and interest in personalized healthcare is fueling demand for omics studies and AI solutions. However, some social and ethical concerns around use of personal genomic data could hamper market growth.

Technological: Advancements in AI, machine learning, cloud computing and high performance computing are enhancing capabilities of omics data analysis. AI is also enabling knowledge extraction from a large volume of omics data generated. Developments in multi-omics integration through AI are expected to drive future growth.

Get more insights on: - AI In Omics Studies Market

For Enhanced Understanding, Dive into the Report in the Language that Connects with You:-

• French
• German
• Italian
• Russian
• Japanese
• Chinese
• Korean
• Portuguese