The Global AI in Omics Studies market involves the integration of artificial intelligence algorithms into omics research platforms and tools to gain insights from large and complex multi-omics datasets. Omics studies focus on the -omics approaches which include genome sequencing, transcriptomics, proteomics and metabolomics to understand biological systems. AI in omics enables researchers to analyze massive genomic, proteomic and other biomedical data through machine learning techniques to discover biomarkers, identify drug targets and gain insights into disease mechanisms. The AI in omics market is growing significantly as machine learning algorithms help analyze patterns in huge datasets that are difficult to interpret through traditional statistics.

The Global AI in omics Studies Market is estimated to be valued at US$ 639.8 MN in 2024 and is expected to exhibit a CAGR of 32% 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.

The Global AI in Omics Studies Market Size is witnessing high demand due to the growing applications of big data analytics and machine learning in genomic and multi-omics research. Research organizations and pharmaceutical companies are widely adopting AI platforms to accelerate drug discovery.

The market is also expanding globally with increasing investments by players to develop AI-powered precision medicine solutions and multi-omics integrative platforms. Players are focusing on partnerships and acquisitions for geographical expansions.

Market Drivers

Rapid advancements in cloud computing and data storage technologies have enabled large-scale storage and analysis of voluminous omics datasets. Cloud-based AI solutions provide easy access to massive computational power for researchers to train sophisticated deep learning models on biomedical data. This is a major factor fueling the growth of the global AI in omics studies market.

Impact of geopolitical situation on the Global AI in Omics Studies Market growth

The ongoing geopolitical tensions and travel restrictions due to COVID-19 pandemic have disrupted global supply chains and business operations. As a result, companies operating in the AI in omics studies market are facing challenges in conducting research activities and collaborating with international partners. However, with rising investments by governments and private sectors in developing domestic genomic research infrastructure and technological capabilities, countries are aiming to reduce dependence on foreign technology and expertise. For instance, China has announced massive funding to map the genomes of major domestic animal breeds and plant varieties as part of its push for self-reliance in key technologies.

Furthermore, the shifting of global trade policies and rising nationalism has intensified competition among countries and companies to gain leadership in emerging technologies like AI and genomics. While certain partnerships and collaborations are expected to continue, the geopolitical risk remains a key factor that can impact new cross-border collaborations and joint projects in the AI in omics studies market. Companies will need to closely evaluate political risks and devise alternate strategies to mitigate supply chain disruptions and challenges in international operations.

Geographical regions with high market concentration in the Global AI in Omics Studies Market

Currently, North America dominates the AI in omics studies market in terms of value, accounting for the largest share. This can be attributed to the concentration of key market players and presence of advanced research infrastructure and expertise in genomics in the US. Moreover, large funding for omics research from government and private sectors is driving market growth.

Asia Pacific is emerging as the fastest growing region due to rising R&D expenditures by China, Japan, and India in developing domestic genomic technologies. Countries in the region aim to sequence thousands of human genomes to boost precision medicine and strengthen agricultural and biopharmaceutical industries. With increasing academic-industry partnerships, Asia Pacific is expected to witness highest CAGR over the forecast period.

Fastest growing region in the Global AI in Omics Studies Market

Asia Pacific region is poised to be the fastest growing region in the AI in omics studies market during the forecast period. This is attributed to factors such as increasing healthcare expenditures, large patient pools, rising cooperation between public and private entities, and government initiatives to sequence populations. For instance, the Chinese government has invested over US$ 9 billion to map 1 million human genomes by 2030 under its Precision Medicine Initiative.

Countries like China, Japan and South Korea are focusing on developing national policies for biobanking and establishing genomic databases. Asia Pacific countries also aim to integrate multi-omics approaches in clinical research to accelerate drug discovery. As genomic technologies mature and costs decline, their adoption is expected to ramp up further in disease diagnosis and prognosis across APAC healthcare systems. Major players are also expanding their presence through collaborations with regional academic institutes and bio banks to gain early access to population datasets.

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