Global AI 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), End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations and Research Centers and Academic & Government Institutes), Region (Americas, Europe, Asia-Pacific, Middle East & Africa) – Forecast till 2027
Market Synopsis
Artificial intelligence (AI) has captured the imagination and attention of medical industry professionals over the past couple of years as several companies, and large research hospitals have been working on perfecting these systems for clinical use. The first concrete examples of how AI (also called deep learning, machine learning, or artificial neural networks) will help clinicians are now being commercialized. These systems may offer a paradigm shift in clinician workflow to boost efficiency while improving care and patient throughput at the same time.
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AI in Drug Discovery Market Segment Review
By the segment of product type, the market has included software and services
By the segment of molecule type, the market has included Large Molecule and Small Molecule.
By the segment of technology type, the market has included machine learning, deep learning, and others.
By the segment of indication type, the market has included Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, and others.
By the segment of the application, the market has included target identification, candidate screening, drug optimization and repurposing, de novo drug designing, and preclinical testing.
By the segment of End-User, the market has included pharmaceutical & biotechnology companies, contract research organizations, research centers, and academic & government institutes.
Regional Analysis
The AI in Drug Discovery Market has been divided, by region, into the Americas, Europe, Asia-Pacific, and the Middle East & Africa. The Americas region is expected to be the largest market owing to the number of big AI platform developers present in the region, such as Microsoft Azure, TensorFlow, and Google AI. The market in the Americas has further been branched into North America and Latin America, with the North American market divided into the US and Canada. Increasing demand for AI solutions by the pharmaceutical players such as AbbVie, Genentech, Amgen, and Eli Lilly and Company, among others, is pushing the market growth in the region. The European AI in drug discovery market is the second-largest market, and it has been categorized as Western Europe and Eastern Europe. The Western European market has further been divided as Germany, France, the UK, Italy, Spain, and the rest of Western Europe. High demand for AI platforms and increasing integration into the drug discovery by major players such as Novartis, AstraZeneca, GSK, BI, BMS, and Sanofi, among others, are expected to drive the growth of AI in drug discovery market in the European region.
Competitive Landscape
Microsoft Corporation, Google (A Subsidiary of Alphabet Inc.), IBM Corporation, Atomwise, Inc., Cloud Pharmaceuticals, Inc., BenevolentAI, Cyclica, Bioage, Envisagenics, Owkin, Inc., Verge Genomics, and Berg LLC.
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