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Global Generative Artificial Intelligence (AI) In Drug Discovery Market Outlook 2025-2034: Trends, Innovations, And Future Outlook

05-28-2025 11:10 AM CET | Health & Medicine

Press release from: The Business Research Company

Generative Artificial Intelligence (AI) In Drug Discovery

Generative Artificial Intelligence (AI) In Drug Discovery

The Generative Artificial Intelligence (AI) In Drug Discovery Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Generative Artificial Intelligence (AI) In Drug Discovery Market Size and Projected Growth Rate?
The generative artificial intelligence (AI) in drug discovery market has experienced significant growth in recent years. It will increase from $0.19 billion in 2024 to $0.25 billion in 2025, reflecting a compound annual growth rate (CAGR) of 30.9%. This growth is attributed to the rising prevalence of chronic diseases, the development of new drug discoveries and clinical trials, the integration of AI into healthcare and drug development, growing biotech industries, and increasing governmental support.

The generative artificial intelligence (AI) in drug discovery market is projected to see exponential growth, reaching $0.74 billion by 2029 at a CAGR of 30.6%. This growth is fueled by demand for cost-effective drug discovery, growing collaborations, increasing computational power, and integration of AI with emerging technologies for rapid drug development. Key trends include advancements in technology, integration of AI with experimental biology, high-throughput screening, AI-driven drug repurposing, and the rise of cloud-based AI platforms for collaborative drug discovery.

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What Are the Major Segments in the Generative Artificial Intelligence (AI) In Drug Discovery Market?
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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What Are The Driving Generative Artificial Intelligence (AI) In Drug Discovery Market Evolution?
The growing number of clinical trials is projected to drive the generative AI in drug discovery market. Clinical trials test new treatments on human participants to determine their safety and efficacy. This surge is due to medical research progress, disease prevalence, regulatory support, global research collaboration, technological tools, and funding availability. Data from these trials accelerates AI-powered drug discovery, allowing for efficient compound design and interaction prediction. This leads to more effective treatments and personalized care. For instance, ClinicalTrials.gov, a US-based trial registry, reported 477,234 registered clinical trials worldwide by the end of 2023, up from 437,512 in 2022. Hence, the increasing number of clinical trials is fueling the generative AI in drug discovery market.

Which Firms Dominate The Generative Artificial Intelligence (AI) In Drug Discovery Market Segments?
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

What Are the Latest Developing Trends in the Generative 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.

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Which Is The Largest Region 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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Generative Artificial Intelligence (AI) In Drug Discovery Market?
2. What is the CAGR expected in the Generative Artificial Intelligence (AI) In Drug Discovery Market?
3. What Are the Key Innovations Transforming the Generative Artificial Intelligence (AI) In Drug Discovery Industry?
4. Which Region Is Leading the Generative Artificial Intelligence (AI) In Drug Discovery Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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