Top Factor Driving AI In Bioinformatics Market Growth in 2025: Rising Clinical Trial Numbers Fueling Growth of AI in Bioinformatics Market

How Are the key drivers contributing to the expansion of the ai in bioinformatics market?
The growth of AI in bioinformatics is expected to be fueled by the rising number of clinical trials. These trials, which involve human participants, are meticulously organized medical research processes aimed at assessing the safety, efficiency, and effectiveness of new medical devices, treatments, and drugs. AI in bioinformatics proves helpful in these trials by effectively analyzing electronic health records and other patient data to find suitable trial candidates who meet specific parameters, hence boosting recruitment efficiency. In May 2023, as per Xtalks, a Canada-based medical device and life science platform, ClinicalTrials.gov reported a worldwide registration of 452,604 clinical trials, with 64,838 of them actively seeking participants. Additionally, the total number of registered trials shows a substantial increase from over 365,000 reported at the start of 2021. Consequently, the growth of AI in the bioinformatics market is being fueled by the rising number of clinical trials.

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What growth opportunities are expected to drive the ai in bioinformatics market's CAGR through 2034?
The market size for AI in bioinformatics has experienced a dramatic expansion in the past few years. A surge from $4.3 billion in 2024 to a projected $6.18 billion in 2025, reflecting a compound annual growth rate (CAGR) of 43.8%, is expected. This significant rise during the historical period is linked to the growth in genomic data availability, the advent of precision medicine, the need for biomarker discovery, optimization of clinical trials, and a boost in collaborative efforts.

Expectations are high for significant expansion in the AI in bioinformatics market, forecasted to rise to $26.46 billion by 2029 with an impressive compound annual growth rate (CAGR) of 43.9%. This growth prediction for the forecast period is due to factors such as the broadening of single-cell technologies, a heightened emphasis on integrating multi-omics, increased focus on functional genomics and the accelerated repurposing of drugs. Furthermore, the growing acceptance of AI in pathology is also fueling this rise. Looking ahead, major market trends predicted for this period include responsibly using data and ethical AI, the development of AI-run virtual labs, the incorporation of quantum computing, AI-enabled clinical trials, and the use of blockchain technology for secure data exchange.

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What are the emerging trends shaping the future of the ai in bioinformatics market?
Leading firms in the AI in bioinformatics market are forging ahead with technological breakthroughs on the Bionl.AI platform to enhance their market profitability. Bionl.AI provides a comprehensive workspace for exploration, analysis, and visualization, which substantially reduces the time needed to complete complex tasks from several days to mere minutes. Take, for example, in October 2023, Bionl Inc., a US-based firm specializing in biomedical and bioinformatics research, introduced Bionl.AI, an innovative platform dedicated to transforming biomedical and bioinformatics research. This platform provides a no-code solution, making it possible for researchers, students, and professionals to delve into biomedicine through natural language queries. The platform utilizes leading-edge GenAI models to facilitate instant insights and simplifying complex analysis, thereby making it more user-friendly and engaging.

Which growth-oriented segments of the ai in bioinformatics market are leading the industry's development?
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 regions are leading the charge 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.

What companies are at the forefront of innovation in the ai in bioinformatics market?
Major companies operating in the AI in bioinformatics market report are Thermo Fisher Scientific Inc., Eurofins Scientific SE, Dassault Systèmes SE, Illumina Inc., NeoGenomics Laboratories Inc., QIAGEN N.V., SomaLogic Operating Co. Inc., Seven Bridges Genomics Inc., Genialis Inc., SOPHiA GENETICS SA, DNAnexus Inc., Insilico Medicine Inc., Deep Genomics Inc., Biomax Informatics Inc., Ardigen SA, Strand Life Sciences Pvt. Ltd., Genomenon Inc., SourceBio International Limited, Fios Genomics Limited, CelbridgeScience, BlueBee Holding BV, JADBio, Elucidata Corporation, Gnosis DA, DNASTAR Inc., iNDX.Ai, Paige AI Inc.

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What Is Covered In The AI In Bioinformatics Global Market Report?

• Market Size Forecast: Examine the ai in bioinformatics market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in bioinformatics market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in bioinformatics market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in bioinformatics market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in bioinformatics market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in bioinformatics market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in bioinformatics market.
• Competitive Landscape: Review strategic developments in the ai in bioinformatics market, including expansions, agreements, and new product launches.

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