Omics technologies such as genomics, proteomics, and metabolomics generate a large amount of complex multidimensional data that requires advanced analytical solutions like artificial intelligence (AI) for accurate interpretation. AI helps in processing and analyzing huge omics datasets, driving significant discoveries and insights.

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. These players are focusing on partnerships, collaborations, and new product launches to strengthen their market position. For instance, in 2021, Illumina partnered with Deep Genomics to leverage AI for genetic diagnostics.

The key opportunities in the market include increasing deployment of clinical omics by pharmaceutical companies and integration of AI and cloud computing with omics. The growing applications of AI in precision medicine, drug discovery, and clinical diagnostics are also fueling the demand.

The Global AI in Omics Studies Market Demand is witnessing significant expansion in regions like North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The major countries providing lucrative opportunities are the US, Germany, China, Japan, Canada, UK, India, Brazil, and South Korea. This can be attributed to growing healthcare expenditure, increasing R&D investments, and rising focus on personalized medicine in these nations.

Market drivers

The key driver for the market is growing government funding for omics research. Government bodies worldwide are increasingly investing in omics projects for deriving meaningful insights to support healthcare priorities. This is encouraging adoption of advanced AI tools in omics studies.

Market restrain

High installation and maintenance cost of AI solutions can hinder their widespread adoption, especially in price-sensitive developing regions. Additionally, lack of skilled workforce and data security challenges pose a threat to market growth.

Segment Analysis

The global AI in Omics Studies market can be segmented into application and component. The application segment dominates the market currently as AI technology is being widely used for genome sequencing, epigenomics, proteomics, metabolomics and other omics studies. The component segment is expected to witness faster growth in the forecast period due to increasing investments made by key players for developing advanced AI platforms, tools and services for omics studies.

Global Analysis

North America holds the largest share in the global AI in Omics Studies market owing to presence of major players and advanced research infrastructure in the region. Asia Pacific is expected to grow at the highest CAGR during the forecast period due to improving healthcare infrastructure, increasing government funding for research and growing collaborations between academia and industry.

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