The artificial intelligence (ai) in drug discovery market has seen considerable growth due to a variety of factors.
• The market size of artificial intelligence (AI) in drug discovery has seen massive expansion in the past few years. It is forecasted to rise from $1.78 billion in 2024 to $2.34 billion in 2025, at a compound annual growth rate (CAGR) of 31.1%.
This surge during the historical period can be linked to growth in emerging markets, increased occurrence of chronic illnesses, greater use of artificial intelligence for cost-effective drug discovery, and more stringent quality controls for drug manufacturers.
The artificial intelligence (ai) in drug discovery market is expected to maintain its strong growth trajectory in upcoming years.
• It is predicted that the market size for artificial intelligence (AI) in drug discovery will undergo significant expansion in the following years. The growth forecast estimates it will reach $5.98 billion by 2029, with an annual compound growth rate of 26.5%.
This steep progression during the forecast period can be linked to government backing, an escalation in healthcare outlays, and an upsurge in the propagation of cloud-supported applications and services. Key trends during this time frame encompass the integration of myriad omics data, utilizing AI in target selection, application of AI in drug screening, the establishment of AI innovation laboratories, and mounting investment in partnerships and collaborations.
The burgeoning need for tailored medical treatments is projected to accelerate the expansion of artificial intelligence (AI) in the drug discovery market. Personalized medicine involves the usage of a person's genetic or protein information to prevent, detect, or cure diseases. AI holds significant potential in aiding the creation of such medicines at all pertinent stages of clinical growth, as well as the introduction of new personalised healthcare products by identifying suitable intervention targets and evaluating their effectiveness. For example, as reported by the Personalized Medicine Coalition, a professional membership organization in the US, the US Food and Drug Administration (FDA) gave the green light to 12 personalised medicines in 2022, constituting approximately 34% of all newly sanctioned therapeutic molecular entities. This escalating need for individualised medicine is thus fuelling the progress of AI in the drug discovery sector.
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
Significant players in the AI drug delivery market, such as Atomwise, are engaging in strategic partnerships to research and innovate drugs with the aid of artificial intelligence. This is contributing to the growing prominence of AI in the drug discovery industry. To illustrate, in August 2022, Atomwise, an American company specializing in AI systems, formed a partnership with Sanofi - a French pharmaceutical and healthcare firm. Their cooperation focused on the computational identification and study of up to five pharmacological targets using AtomNet technology powered by Atomwise AI. To detect, develop, and further the progress of lead compounds for up to five exclusive Sanofi targets, Atomwise received an upfront payment of $20 million from Sanofi.
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
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