Global Artificial Intelligence (AI) In Drug Discovery Market to Reach $5.98 Billion by 2029, Growing at 26.5% CAGR

What combination of drivers is leading to accelerated growth in the artificial intelligence (ai) in drug discovery market?
The rising interest in personalized medicine is anticipated to drive the expansion of artificial intelligence (AI) in the field of drug discovery in the future. Personalized medicine is a unique approach to handling disease using specific information about a person's genetic and protein makeup. AI is poised to play a key role in the construction of these personalized treatments at every vital stage of their clinical development as well as in the launch of new individualized health products. It does this by pinpointing suitable intervention targets and evaluating these targets for their effectiveness. For example, in February 2024, the Personalized Medicine Coalition, a professional membership organization based in the U.S., reported that in 2022, the U.S. Food and Drug Administration (FDA) gave approval to 12 personalized medicines. This accounted for roughly 34% of all newly approved therapeutic molecular entities. As a result, the increasing demand for personalized medicine is fueling the expansion of AI within the drug discovery industry.

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What is the projected compound annual growth rate (CAGR) of the artificial intelligence (ai) in drug discovery market from 2025 to 2034, and what factors influence it?
The market size for artificial intelligence (AI) in drug discovery has seen a substantial increase in the past few years. It is predicted to experience a rise from $1.78 billion in 2024 to $2.34 billion in 2025, marking a compound annual growth rate (CAGR) of 31.1%. The expansion observed in the historical timeline is due to the growth in the newly developing markets, more prevalence of chronic illnesses, the rising trend of using artificial intelligence for more cost-effective drug discovery, and tighter quality controls for pharmaceutical manufacturers.

In the ensuing years, we are set to witness a rapid surge in the market size of artificial intelligence (AI) in drug discovery. By 2029, the market is projected to skyrocket up to $5.98 billion, with a compound annual growth rate (CAGR) of 26.5%. Various factors leading to this growth during the projected period include government backing, an upward trend in healthcare spending, and a rise in the utilization of cloud-based applications and services. Notable trends during the forecast period encompass the inclusion of multi-omics data, leveraging AI in selecting targets, employing AI in drug screening, the emergence of AI innovation labs, and a surge in investments towards partnerships and collaborations.

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How are the latest trends influencing the growth of the artificial intelligence (ai) in drug discovery market?
Prominent businesses in the AI drug delivery market, such as Atomwise, a US-based AI systems company, are entering into strategic partnerships to conduct research and discover drugs using AI, becoming increasingly well-received in the artificial intelligence drug discovery sector. In August 2022, Atomwise teamed up with Sanofi, a French pharmaceutical and healthcare firm, with the aim of using the AtomNet technology powered by Atomwise's AI for identifying and studying up to five pharmacological targets computationally. In the pursuit of finding, developing, and progressing lead compounds for up to five exclusive targets for Sanofi, Atomwise was given an upfront payment of $20 million by Sanofi.

What are the major segments of the artificial intelligence (ai) in drug discovery market and their role in driving growth?
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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Which regions are key players in the growth of 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

Who are the key firms paving the way for growth 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

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What Is Covered In The Artificial Intelligence (AI) In Drug Discovery Global Market Report?

•Market Size Forecast: Examine the artificial intelligence (ai) in drug discovery market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in drug discovery market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in drug discovery market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in drug discovery market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in drug discovery market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in drug discovery market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in drug discovery market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in drug discovery market, including expansions, agreements, and new product launches.

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