Artificial Intelligence in Drug Discovery Market Research Report, By Product Type (Software, Services), Molecule Type (Large Molecule, Small Molecule), Technology (Machine Learning, Deep Learning and others), Indication (Immune-Oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases and others), Application (Target Identification, Candidate Screening, De novo Drug Designing, Drug Optimization and Repurposing and Preclinical Testing) – Forecast till 2030
According to MRFR analysis, Artificial Intelligence in Drug Discovery Market Forecast is expected to register a CAGR of ~24.9% from 2022 to 2030 and hold a value of over USD 8.9 Billion by 2030. AI in Drug Discovery was a rapidly growing field with significant potential. AI has shown promise in improving the drug discovery process by accelerating the identification and development of potential drug candidates. It can analyze large datasets, identify patterns, and predict molecular interactions more efficiently than traditional methods. Several factors are likely to contribute to the growth of the AI in Drug Discovery market. These include the increasing availability of large-scale biological and chemical datasets, advancements in machine learning algorithms, improvements in computational power, and collaborations between pharmaceutical companies and AI startups.
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Market Segmentation
Artificial Intelligence in Drug Discovery Market Forecast has been segmented into By Product Type, Molecule Type, Technology, Indication, Application, End-User
By Product Type : Software , Services
By Molecule Type : Large Molecule , Small Molecule
By Technology : Machine Learning , Deep Learning
By Indication : Immuno-oncolog ,Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases
By Application : Target Identification, Candidate Screening, Drug Optimization and Repurposing, De novo Drug Designing, Preclinical Testing
By End-User : Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes
Key Players
Microsoft Corporation, IBM Corporation, Google (A Subsidiary of Alphabet Inc.), Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Inc., Insilico Medicine, BenevolentAI, Exscientia, Cyclica, Bioage, Numerate, Numedii, Inc., Envisagenics, Twoxar, Incorporated, Owkin, Inc., Xtalpi, Inc., Verge Genomics, Berg LLC
Regional Analysis
North America is expected to dominate the AI in drug discovery market due to the presence of major pharmaceutical companies, well-established healthcare infrastructure, and strong government support. The United States, in particular, is a key player in this market, with several leading AI companies and research institutions focused on drug discovery. The region also benefits from collaborations between academia, industry, and government organizations, which foster innovation and drive market growth.
Europe is another significant market for AI in drug discovery, with countries like the United Kingdom, Germany, and France at the forefront. The European pharmaceutical industry has shown a keen interest in adopting AI technologies to enhance drug discovery and development processes. The presence of leading academic and research institutions, along with supportive regulatory frameworks, contributes to the growth of the market in this region.
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The Asia Pacific region is witnessing rapid growth in the AI in drug discovery market, driven by factors such as increasing investments in healthcare infrastructure, rising R&D activities, and a growing pharmaceutical industry. Countries like China, Japan, and India are actively investing in AI-based drug discovery initiatives and are becoming prominent players in the market.
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