Press release
Artificial Intelligence (AI) In Drug Discovery Market Growth, Size, Trends,Share Analysis 2024-2033
Artificial Intelligence (AI) In Drug Discovery Market
The Business Research Company presents an extensive market research report on the Artificial Intelligence (AI) In Drug Discovery Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.
Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.
Market Sizing:
The artificial intelligence (ai) in drug discovery market size has grown exponentially in recent years. It will grow from $1.37 billion in 2023 to $1.79 billion in 2024 at a compound annual growth rate (CAGR) of 30.8%. The growth in the historic period can be attributed to growth in emerging markets, the rising prevalence of chronic diseases, the increased adoption of artificial intelligence (ai) for cost efficient drug discovery and the increasing strict quality regulations for drug manufacturers.
The artificial intelligence (ai) in drug discovery market size is expected to see exponential growth in the next few years. It will grow to $4.71 billion in 2028 at a compound annual growth rate (CAGR) of 27.4%. The growth in the forecast period can be attributed to the government support, the increasing healthcare expenditure and rising adoption of cloud-based applications and services. Major trends in the forecast period include integration of multi-omics data, use of ai in target selection, use of ai in drug screening, introduction of ai innovation labs, increasing investments and partnerships and collaborations.
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Key Market Players:
Major companies operating in the artificial intelligence (ai) in drug discovery market report are IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Exscientia, Alphabet, Atomwise Inc., Insilico Medicine, Owkin Inc, Xtalpi Inc, Cloud Pharmaceuticals, Shanghai PharmaceuticS, Standigm, Indegene, Intuition Systems, Innoplexus, Takeda Pharmaceutical Company Ltd., RxPrism, Otsuka Pharmaceutical Co. Ltd., China National Pharmaceutical Group Co., Ltd., Jiangsu Hengrui Medicine Co., Ltd, Cipla Limited, Aurobindo Pharma Limited, Dr. Reddy's Laboratories Ltd., Sun Pharma, Tricog Health Services Pvt. Ltd., Alliance Pharm Pte Ltd., GSK Australia , CytoReason, IIPharma, StoneWise, Adagene, GT Apeiron Therapeutics, Xbiome, Accutar Biotech, DeepMind, Renalytix AI, Iktos, Ipsen Pharma, Galderma S.A., BenevolentAI, Deepflare, Novartis, Gero, Ardigen, Botkin, Care Mentor AI , Diagnocat, GNS Healthcare, Merck & Co., Apotex, Pfizer, Gilead Sciences, Roche, Bayer, AbbVie Inc., GlaxoSmithKline, AstraZeneca, Amgen, Sanofi Pasteur, Abbott Laboratories, Janssen Pharmaceutica, Teva Canada, Accord Healthcare Inc, Acerus Pharmaceuticals Corporation, AA Pharma Inc, Sanfer, Siegfried Rhein, Atomwise, Inc., Bioage, NuMedii, Envisagenics, Aria Pharmaceuticals, Verge Genomics, Berg LLC, Deep Genomics, Cyclica , IQVIA, Quris, GE Healthcare, Avanade , Group42 Holding Ltd, Ilara Health, Adcock Ingram , Johnson & Johnson, Eurolab , Ranbaxy (SA) (Pty) Ltd, Aspen, Rology, hearX Group, DilenyTech
Market Drivers:
The growing demand for personalized medicine is expected to propel the growth of the artificial intelligence (AI) in drug discovery market going forward. Personalized medicine refers to a type of medication that prevents, detects, or treats disease using knowledge about a person's own genes or proteins. AI can play a crucial role in the development of personalized medicines at all relevant phases of clinical development and implementation of new personalized health products by finding appropriate intervention targets and testing intervention targets for their utility. For instance, according to the Personalized Medicine Coalition, a US-based professional membership organization, in 2022, the US Food and Drug Administration (FDA) approved 12 personalized medicines, which accounted for approximately 34% of all newly approved therapeutic molecular entities. Thus, the growing demand for personalized medicine is driving the growth of the artificial intelligence (AI) in drug discovery market.
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https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-drug-discovery-global-market-report
The artificial intelligence (ai) in drug discovery market covered in this report is segmented -
1) By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning
2) By Drug Type: Small Molecules, Large Molecules
3) By Therapeutic Type: Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Anti-Infective Diseases, Respiratory Diseases, Other Therapeutics
4) By End User: Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes, Other End-Users
The report answers the following questions:
What are the primary factors propelling the market during the projected period?
In which region is the most substantial growth expected?
Which trend will take center stage in the upcoming period?
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