Key Drivers and Opportunities in the Generative Artificial Intelligence (AI) In Drug Discovery Market: Insights into Trends and Growth
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What Long-Term Growth Rate is Expected for the Generative Artificial Intelligence (AI) In Drug Discovery Market Between 2025 and 2034?
The market size for generative AI in drug discovery has experienced significant growth recently. It is projected to expand from a value of $0.19 billion in 2024 to $0.25 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 30.9%. This considerable growth during the historic period is due to factors such as a rise in chronic diseases, the advancement of new drug discoveries and clinical trials that integrate AI, the expansion of biotech industries, and increased support from government entities.
The market size of generative artificial intelligence (AI) in drug discovery is projected to undergo significant expansion in the coming years, predicted to reach a value of $0.74 billion in 2029 with a compound annual growth rate (CAGR) of 30.6%. The anticipated growth during the forecast period is due to factors such as the increasing demand for cost-efficient drug discovery, enhanced collaboration among market participants, the rise in computational capabilities, the convergence of generative AI with other upcoming technologies, and speedy drug development. Key trends during the forecast period comprise of breakthrough technologies, the amalgamation of generative AI with experimental biology, swift and efficient screening processes for accelerated drug discovery pipelines, the emergence of AI-powered platforms for repurposing drugs, and a surge in the use of cloud-based AI services for collective efforts in drug discovery.
Which Factors Are Enhancing the Growth of the Generative Artificial Intelligence (AI) In Drug Discovery Market?
The surge in clinical trials is anticipated to stimulate the expansion of generative AI in the domain of drug discovery. Clinical trials necessitate the participation of human volunteers, evaluating the security and efficiency of fresh medical treatments or procedures with the objective of accumulating scientific evidence regarding their appropriateness for human utilization. The upsurge in the quantity of clinical trials is chiefly due to advancements in healthcare research, heightened disease burden, regulatory modifications, worldwide consolidation of clinical research, advocacies and awareness for patients, industrial rivalry, progression in technology, and funding prospects. Data from clinical trials nourish generative AI models, accelerating drug discovery by predicting interactions and concocting compounds. This cooperative relationship enables individualized medicine, enhances the effectiveness of treatment, betters patient results, and instigates a transformation in the pharmaceutical scenario. For example, as stated by ClinicalTrials.gov, an American clinical trial records repository, by the close of 2023, the global registration of clinical trials was 477,234, which was a surge from the 437,512 trials which were registered in 2022. Consequently, the escalation in the quantity of clinical trials is propelling the expansion of generative AI in the drug discovery market.
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What Are the Key Firms That Are Driving Transformation in the Generative Artificial Intelligence (AI) In Drug Discovery Market?
Major companies operating in the generative artificial intelligence (AI) in drug discovery market are:
• TUI AG_x000D_
• China CYTS Tours Holding Co. Ltd._x000D_
• Abercrombie & Kent Group_x000D_
• Intrepid Travel Pty Ltd._x000D_
• Backroads Inc._x000D_
What Current Trends in the Generative Artificial Intelligence (AI) In Drug Discovery Market Should Industry Players Pay Attention To?
Top establishments operating in the generative AI field for drug discovery are creating superior AI-induced tools to expedite the process of drug discovery. Tools powered by AI quicken the drug development process by enhancing the discovery, design, and clinical trials of drugs through predictive analysis and machine learning techniques. They increase the productivity in target recognition and compound examination, such as AI-based virtual screening, preclinical development, managing regulatory compliance, and manufacturing processes. For example, in May 2023, Google Cloud, a cloud computing service from the USA offered by Google, launched two groundbreaking AI-directed solutions. These solutions, the Target and Lead Identification Suite as well as the Multiomics Suite, are planned to enhance drug discovery and precision medicine within biotech, pharmaceutical, and government field organizations. The Target and Lead Identification Suite aids researchers in understanding the roles of amino acids and predicting protein structures, whereas the Multiomics Suite allows faster analysis and comprehension of genomic data, making the development of individualized treatments simpler.
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Which Segments Play a Crucial Role in the Expansion of 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
What Regions Are Driving Expansion 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.
What Key Parameters Define the Generative Artificial Intelligence (AI) In Drug Discovery Market’s Scope?
Generative AI in drug discovery involves using advanced machine learning, especially generative models, to create and identify new pharmaceutical compounds. These AI systems analyze extensive data, including chemical properties, biological activity, and existing drug information to predict and generate novel molecules with potential therapeutic benefits. The primary aim of generative AI in drug discovery is to accelerate the creation and identification of novel pharmaceutical compounds with potential therapeutic effects, optimizing the drug development process by leveraging extensive data to predict and generate new molecules efficiently.
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