Artificial Intelligence (AI) In Drug Discovery Market Insights 2025-2034: Growth Dynamics, Trends, and Strategic Opportunities
Updated 2025 Market Reports Released: Trends, Forecasts to 2034 – Early Purchase Your Competitive Edge Today!
What fueled the previous growth in the artificial intelligence (ai) in drug discovery market?
The market size for artificial intelligence (AI) used in drug discovery has seen significant expansion in the previous years. It is predicted to increase from $1.78 billion in 2024 to $2.34 billion in 2025, with a compound annual growth rate (CAGR) of 31.1%. The ascent during the historic period can be attributed to growth in emerging markets, escalating occurrences of chronic illnesses, the heightened usage of AI for cost-effective drug discovery, and stricter quality regulations imposed on drug manufacturers.
What will be the artificial intelligence (ai) in drug discovery market size in the future?
Predictions indicate substantial expansion in the artificial intelligence (AI) in the drug discovery market in the forthcoming years, expecting a leap to $5.98 billion by 2029, boasting a CAGR of 26.5%. It’s the escalation in government backing, amplified expenditure in healthcare, and mounting adoption of cloud-based services and applications that are purveying this prospective growth in the stated period. The imminent trends include fusion of multi-omics data, applying AI in handpicking targeted drugs, leveraging AI in drug screening processes, the inception of AI innovation labs, and a surge in investments towards partnerships and cooperation.
Get your artificial intelligence (ai) in drug discovery market report here!
What main drivers are fueling expansion in the artificial intelligence (ai) in drug discovery market?
The surge in requisition for personalized medicine is projected to spur the advancement of artificial intelligence (AI) in the drug discovery market. Personalized medicine, which employs an individual’s genes or proteins to prevent, detect, or address disease, is where AI can play a significant role. AI’s importance is particularly evident in the development and administration of new personalized health products, where it helps in identifying suitable intervention targets and assessing their usefulness. In February 2024, the Personalized Medicine Coalition, a professional membership organization based in the US, shared that in 2022, the US Food and Drug Administration (FDA) had greenlit 12 personalized medicines. This figure represents roughly 34% of all the newly approved therapeutic molecular entities. Consequently, the rising demand for personalized medicine fuels the expansion of AI in the drug discovery market.
What key areas define the segmentation of the global 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
Get your free sample now – explore exclusive market insights:
https://www.thebusinessresearchcompany.com/sample.aspx?id=3411&type=smp
Who are the dominant players expanding their reach in the artificial intelligence (ai) in drug discovery market?
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
How are evolving market trends shaping artificial intelligence (ai) in drug discovery Strategies?
Significant players in the AI drug delivery market are employing strategic partnerships for research and drug discovery utilising AI, leading to a surge in popularity in the AI drug discovery market. For example, Atomwise, an American artificial intelligence systems company, established a partnership with Sanofi in August 2022. This collaboration focused on using Atomwise’s AI-powered AtomNet technology to computationally identify and examine up to five pharmacological targets. Atomwise was paid an upfront amount of $20 million by Sanofi to discover, formulate, and push forward lead compounds for up to five exclusive Sanofi targets. Sanofi is a French organization specializing in pharmaceuticals and healthcare.
Unlock exclusive market insights – purchase your research report now for a swift delivery!
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=3411
Which regions are emerging as leaders in the artificial intelligence (ai) in drug discovery market?
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
Browse Through More Similar Reports By The Business Research Company:
AI In Pharma Global Market Report 2024
https://www.thebusinessresearchcompany.com/report/ai-in-pharma-global-market-report
Automotive Artificial Intelligence Global Market Report 2024
Artificial Intelligence in Healthcare Global Market Report 2024
About The Business Research Company:
With over 15000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead in the game.
Contact us at:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas +1 3156230293
Asia +44 2071930708
Europe +44 2071930708
Email us at [email protected]
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
Found this article helpful? Share it on:
