Global Generative Artificial Intelligence (AI) In Drug Discovery Market Projected to Surpass $0.74 Billion by 2029 with 30.6% Annual Growth

What market dynamics are playing a key role in accelerating the growth of the generative artificial intelligence (ai) in drug discovery market?
The rising number of clinical trials is expected to support the growth of generative AI in the drug discovery market. Clinical trials, which evaluate the safety and effectiveness of new medical treatments, are increasing due to advancements in medical research, patient advocacy, and globalization. Clinical trial data is crucial for generative AI models, helping predict drug interactions and design compounds. For instance, ClinicalTrials.gov reported that by the end of 2023, there were 477,234 clinical trials globally, an increase from 437,512 in 2022. This growth in clinical trials is driving the growth of generative AI in drug discovery.

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How will the growth rate of the generative artificial intelligence (ai) in drug discovery market shape industry trends by 2034?
The generative artificial intelligence (AI) in drug discovery market has witnessed strong growth. It is expected to rise from $0.19 billion in 2024 to $0.25 billion in 2025, at a CAGR of 30.9%. This growth is attributed to the increasing prevalence of chronic diseases, advancements in drug discovery and clinical trials, the integration of AI in healthcare and drug development, the growth of biotech industries, and more government support.

The generative AI in drug discovery market is expected to grow to $0.74 billion by 2029, at a CAGR of 30.6%. This growth is due to the demand for cost-effective drug discovery, collaborations, rising computational power, and rapid drug development. Trends include advanced technologies, integration with experimental biology, high-throughput screening, AI-driven platforms for drug repurposing, and cloud-based AI solutions.

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What trends are poised to drive the future success of the generative artificial intelligence (ai) in drug discovery market?
In the generative AI in drug discovery market, companies are focusing on creating AI-powered tools to speed up drug discovery processes. For example, in May 2023, Google Cloud, a US-based cloud service provider, introduced the Target and Lead Identification Suite and the Multiomics Suite. These AI-driven solutions aid researchers in drug discovery and precision medicine, enhancing the identification of amino acids and protein structures and speeding up genomic data analysis.

Which primary segments of the generative artificial intelligence (ai) in drug discovery market are driving growth and industry transformations?
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 geographical regions are pioneering growth 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.

Who are the influential players reshaping the generative artificial intelligence (ai) in drug discovery market landscape?
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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What Is Covered In The Generative Artificial Intelligence (AI) In Drug Discovery Global Market Report?

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

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