AI In Bioinformatics Market Valuation Expected To Reach $26.46 Billion By 2029, Growing At A Rate Of 44%
Discover trends, market shifts, and competitive outlooks for the ai in bioinformatics industry through 2025-2034 with The Business Research Company’s reliable data and in-depth research
What is the Projected CAGR for the AI In Bioinformatics Market Size from 2025 to 2034?
The market size for AI in bioinformatics has seen a substantial increase in recent times. The market, valued at $4.3 billion in 2024, is set to escalate to $6.18 billion in 2025, exhibiting a 43.8% compound annual growth rate (CAGR). The significant growth during the historic span can be linked to the surge in genomic data accessibility, the emergence of precision medicine, an upward demand for biomarker discovery, improvements in clinical trial optimization, and enhanced collaborations.
In the coming years, significant expansion is anticipated in the AI in bioinformatics market, with projections suggesting an increase to $26.46 billion in 2029, a CAGR of 43.9%. This predicted surge during the forecasted span can be credited to the growth of single-cell technologies, a stronger emphasis on the integration of multi-omics, a heightened attention to functional genomics, the hastened repurposing of drugs, and the increased utilization of AI in pathology. Key trends forecasted include the ethical use of AI and responsible data handling, the advent of AI-controlled virtual labs, the merging of quantum computing, AI-facilitated clinical trials, and the application of blockchain for assured secure data exchange.
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Which Factors and External Forces Are Driving Demand in the AI In Bioinformatics Market?
Advancements in AI in the bioinformatics market are being pushed forward by the growing count of clinical trials. Clinical trials, which involve human participants in thoroughly planned medical research processes to ascertain the safety and effectiveness of new medications, treatments, or therapeutic methods, use AI in bioinformatics for data analysis. This technology is applied to scrutinize patient data gleaned from electronic health records and other sources. The aim is to pinpoint suitable candidates who meet particular criteria for these trials, thereby enhancing targeted recruitment and efficiency. In May 2023, Xtalks, a Canadian platform for life science and medicinal devices, cited ClinicalTrials.gov to state that of the 452,604 clinical trials registered globally, 64,838 are actively pursuing participants. The number of registered trials saw a significant rise from just over 365,000 reported early in 2021. Consequently, this surge in clinical trials is spurring on AI growth in the bioinformatics market.
Which Segments in the AI In Bioinformatics Offer the Most Growth?
The AI in bioinformatics market covered in this report is segmented –
1) By Type: Machine Learning, Deep Learning, Other Types
2) By Offering: Services, Software
3) By Application: Genomics, Chemoinformatics And Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Microarrays, Metabolomics, Other Applications
Subsegments:
1) By Machine Learning: Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning
2) By Deep Learning: Neural Networks, Natural Language Processing Models, Generative Adversarial Networks (GANs)
3) By Other Types: Statistical Models, Evolutionary Algorithms, Fuzzy Logic Systems
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What Are the Fastest-Growing Geographies in the AI In Bioinformatics Market?
North America was the largest region in the AI in bioinformatics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in bioinformatics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which Cutting-Edge Market Trends Are Expected to Drive the AI In Bioinformatics Market’s Growth?
Leading firms in the AI in bioinformatics market are leveraging technological advancements on the Bionl.AI platform to boost their market profitability. The Bionl.AI platform provides a comprehensive workspace for experimentation, analysis, and visualization, significantly reducing the time needed to accomplish intricate tasks. For example, in October 2023, Bionl Inc., an American biomedical and bioinformatics research platform firm, unveiled Bionl.AI, an innovative platform designed to transform biomedical and bioinformatics research. It offers a no-code solution that enables researchers, students, and professionals to study biomedicine through natural language inquiries. This platform utilizes the latest GenAI models to provide immediate insights and simplify complex analyses.
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What Are the Key Elements That Define the AI In Bioinformatics Market?
AI in Bioinformatics refers to the application of artificial intelligence (AI) techniques and algorithms to analyze and interpret biological data. Bioinformatics involves the management and analysis of large and complex biological datasets, such as genomic sequences, protein structures, and other biological information.
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