AI In Drug Discovery Surges With Growing Demand For Personalized Medicine: Key Factor Driving The Growth In The Artificial Intelligence (AI) In Drug Discovery Market

The Artificial Intelligence (AI) In Drug Discovery Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Expected Artificial Intelligence (AI) In Drug Discovery Market Size During the Forecast Period?
In recent times, the market size of artificial intelligence (AI) in drug discovery has experienced significant expansion. Growth is expected to continue, with projections suggesting an increase from $1.78 billion in 2024 to $2.34 billion by 2025, equivalent to a compound annual growth rate (CAGR) of 31.1%. The robust development observed in the historical period is attributable to various factors. These include emergent market growth, the escalating prevalence of chronic diseases, a rise in the adoption of AI for more cost-effective drug discovery, and the imposition of stricter quality standards on pharmaceutical manufacturers.

The market size for artificial intelligence (AI) within the realm of drug discovery is predicted to witness significant expansion in the upcoming years. The valuation is set to rise to a massive $5.98 billion by 2029, with a CAGR of 26.5%. Several factors can account for this growth in the projection period such as government endorsement, the amplification of healthcare expenditure, and the escalating utilization of cloud-based applications and services. The future trends to watch for during the forecast period include multi-omics data integration, AI application in target selection and drug screening, the creation of AI innovation labs, and the surge in investments for partnerships and collaborations.

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What Are the High-Growth Segments in the Artificial Intelligence (AI) In Drug Discovery Market?
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

Subsegments:
1) By Context-Aware Processing: Contextual Data Integration, Predictive Modeling, Adaptive Learning Systems
2) By Natural Language Processing (NLP): Text Mining And Analysis, Sentiment Analysis, Drug Interaction Extraction, Clinical Trial Data Analysis
3) By Querying Method: Semantic Search, Knowledge Graphs, Structured Query Language (SQL) Based Queries
4) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Reinforcement Learning Applications

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What Key Drivers Are Expected to Influence Future Artificial Intelligence (AI) In Drug Discovery Market Growth?
The escalating need for personalized treatments is anticipated to boost the expansion of artificial intelligence (AI) in the drug discovery sector. This kind of medicine pertains to a medication form that utilizes the knowledge of an individual's genes or proteins to prevent, detect, or treat diseases. The crucial part of AI in producing personalized medicines involves identifying suitable intervention targets and evaluating their usefulness throughout all significant stages of clinical development and the introduction of novel personalized health products. For instance, the Personalized Medicine Coalition, an American professional membership collective, reported in February 2024 that in 2022, 12 personalized medicines received approval from the US Food and Drug Administration (FDA), making up about 34% of all newly sanctioned therapeutic molecular entities. Consequently, the escalating demand for personalized medicine is propelling the expansion of AI in the drug discovery sector.

Which Companies Hold the Largest Share Across Different Artificial Intelligence (AI) In Drug Discovery Market Segments?
Major companies operating in the artificial intelligence (AI) in drug discovery market include IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Exscientia, Alphabet, 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., 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, 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

What Trends Are Driving Growth in The Artificial Intelligence (AI) In Drug Discovery Market?
Leading firms in the AI drug delivery market, such as Atomwise, are increasingly adopting collaborative strategies to research and invent drugs through artificial intelligence. These strategies are pushing up the popularity of AI in the drug discovery industry. For example, Atomwise, a US company specializing in artificial intelligence systems, joined hands with Sanofi, a French pharmaceutical and healthcare firm, in August 2022. The objective of this collaboration was to recognize and study up to five pharmacological targets using Atomwise's AI-driven AtomNet technology. For the development and progression of lead compounds for up to five exclusive targets of Sanofi, Atomwise received an initial payment of $20 million from Sanofi.

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What Are the Emerging Geographies for The Artificial Intelligence (AI) In Drug Discovery Market Growth?
North America was the largest region in the artificial intelligence (AI) in drug discovery market in 2024. Western Europe was the second largest region in the global artificial intelligence (AI) in drug discovery market share. The regions covered in the artificial intelligence (AI) in drug discovery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Artificial Intelligence (AI) In Drug Discovery Market?
2. What is the CAGR expected in the Artificial Intelligence (AI) In Drug Discovery Market?
3. What Are the Key Innovations Transforming the Artificial Intelligence (AI) In Drug Discovery Industry?
4. Which Region Is Leading the Artificial Intelligence (AI) In Drug Discovery Market?

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