How the Generative Artificial Intelligence (AI) In Drug Discovery Market is Positioned for Growth: Trends, Market Size, and Future Opportunities (2025-2034)
2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!
Which Primary Drivers Are Supporting the Continued Market Growth of theGenerative Artificial Intelligence (AI) In Drug Discovery Market?
The increment in clinical trials is believed to accelerate the expansion of generative AI in the drug discovery sector. Clinical trials, which use human participants to examine the safety and efficiency of novel medical procedures or treatments, aim to collect scientific evidence on their appropriateness for human application. The surge in clinical trial numbers is primarily due to progress in medical research, escalation of disease prevalence, regulatory alterations, the international spread of clinical research, patient support and awareness, industry rivalry, technological innovation, and financial support opportunities. The data from clinical trials aids generative AI models, which fast-tracks the discovery of drugs via the prediction of interactions and the design of compounds. This collaboration is instrumental in establishing personalized medicine, enhancing effective treatment, improving patient results, and transforming the pharmaceutical sector. For example, as per ClinicalTrials.gov, an American clinical trial registry, 477,234 clinical trials were registered globally by the terminus of 2023, a rise from the 437,512 trials recorded in 2022. Thus, the surge in clinical trials is pushing the growth of generative AI in the drug discovery sector.
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#What Growth Opportunities Will Drive the Generative Artificial Intelligence (AI) In Drug Discovery Market’s CAGR Through 2034?
The market size for generative artificial intelligence (AI) used in drug discovery has seen a massive expansion in recent years. The market, valued at $0.19 billion in 2024, is projected to climb to $0.25 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 30.9%. Factors such as the increased prevalence of chronic diseases, progress in drug discovery and clinical trials that involve AI, burgeoning biotech industries, and enhanced government backing are accountable for the growth witnessed in the historic period.
The market size for generative artificial intelligence (AI) in drug discovery is predicted to expand exponentially in the coming years. The market is set to soar to $0.74 billion in 2029, growing at a compound annual growth rate (CAGR) of 30.6%. The anticipated growth during this forecast period is associated with the growing need for affordable drug discovery sparking generative AI adoption, increased partnerships between market players, enhancing computational power, the amalgamation of generative AI with other novel technologies, and swift drug development. The primary trends within the forecast period encompass progressing technologies, the fusion of generative AI with experimental biology, increased use of high-throughput screening to expedite drug discovery processes, the creation of AI-driven platforms for drug repurposing, and a rise in the uptake of cloud-based AI solutions to bolster collaborative drug discovery initiatives.
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How Are Consumer Market Innovations Shaping the Current and Future Landscape of theGenerative Artificial Intelligence (AI) In Drug Discovery Market?
Leading firms in the generative AI sector of drug discovery are advancing in the creation of AI-powered instruments that hasten the drug discovery procedures. These AI tools speed up drug creation by making drug discovery, designing, and clinical trials more efficient with the use of predictive analytics and machine learning. This enhances efficiency in areas such as target identification and compound screening, including AI-based virtual screenings, preclinical development, regulatory adherence, and manufacturing processes. For example, in May 2023, Google Cloud (an American cloud computing service by Google) launched two groundbreaking AI-based solutions. These solutions – the Target and Lead Identification Suite and the Multiomics Suite – are aimed at enhancing drug discovery and precision medicine in biotech, pharmaceutical, and public sector organizations. The Target and Lead Identification Suite assists researchers in comprehending amino acid functions and predicting protein structures, while the Multiomics Suite accelerates the understanding and analysis of genomic data, thus simplifying the creation of personalized treatments.
Who Are the Key Market Players Influencing the Growth of the Corn and Generative Artificial Intelligence (AI) In Drug Discovery Industry?
Major companies operating in the generative artificial intelligence (AI) in drug discovery market are Bayer AG, NVIDIA Corporation, Merck KGaA, IBM Research, Schrödinger Inc., Valo Health, BenevolentAI, XtalPi Inc., Insilico Medicine Inc., Recursion Pharmaceuticals Inc., Exscientia, Atomwise Inc., InveniAI LLC, Healx, Aitia, Cloud Pharmaceuticals Inc., Optibrium, Aiforia, BioSymetrics Inc., Collaborations Pharmaceuticals Inc., MAbSilico, Reverie Labs, Standigm Inc., DeepMatter Group Limited, Variational AI Inc
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Which Key Market Segments Comprise the Generative Artificial Intelligence (AI) In Drug Discovery Market and Drive Its Revenue Growth?
The generative artificial intelligence (AI) in drug discovery market covered in this report is segmented –
1) By Type: Small Molecule, Large Molecule
2) By Technology: Deep Learning, Machine Learning, Reinforcement Learning, Molecular Docking, Quantum Computing
3) By End-User: Pharmaceutical And Biotechnology Companies, Academic And Research Institutions, Contract Research Organizations (CROs), Other End-Users
Subsegments:
1) By Small Molecule: Drug Design And Optimization, Lead Discovery And Identification, Toxicology Prediction, Molecular Property Prediction, ADMET (Absorption, Distribution, Metabolism, Excretion, And Toxicity) Prediction
2) By Large Molecule: Protein Structure Prediction, Antibody Design, Biologics Optimization, Peptide Design, Biopharmaceutical Discovery And Optimization
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Which Regions Are Emerging as Leaders in the Generative Artificial Intelligence (AI) In Drug Discovery Market?
North America was the largest region in the generative AI in drug discovery market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in drug discovery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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