The global AI in bioinformatics market revenue is projected to rise substantially from $2,800 million in 2020 to approximately $19,500 million by 2035. The adoption curve accelerates post-2025, with annualized growth seen across all regions and market segments. Robust investments in genomics and personalized medical research, alongside continuous improvements in AI technologies, underpin this upward trajectory.
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Genomics accounts for the highest share of AI in bioinformatics applications by 2025, leveraging AI to unlock insights from massive genomic datasets. Chemoinformatics & Drug Design is the second largest segment, fueled by the surge in AI-driven drug discovery initiatives. Transcriptomics rounds out the top three, reflecting growing interest in gene expression studies. The emergence of AI models capable of integrating and interpreting multi-omics data is a significant market growth driver.
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Who are the key players in Global AI in Bioinformatics Market industry?
The top five key players in the Global AI in Bioinformatics Market are IBM Corporation, Microsoft Corporation, Thermo Fisher Scientific, Illumina Inc., and Deep Genomics. These companies lead in developing advanced AI-powered bioinformatics solutions, enabling large-scale data analysis, precision medicine, drug discovery, and genomic research across the healthcare and life sciences sectors.
What is the Global AI in Bioinformatics Market growth?
The Global AI in Bioinformatics Market has experienced strong growth, with a CAGR of over 35% since 2022. For example, IBM's Watson Health platform has expanded its offerings, propelling further adoption of AI-driven bioinformatics tools worldwide and stimulating investments in health data analytics and research innovation.
Which segment accounted for the largest Global AI in Bioinformatics Market share?
Genomics and precision medicine applications hold the largest share in the Global AI in Bioinformatics Market. AI algorithms help researchers interpret genetic data for disease diagnosis, personalized treatments, and drug development. Companies like Illumina and Deep Genomics extensively use AI technology to accelerate genomic analysis and actionable medical insights.
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