Artificial Intelligence (AI) In Drug Discovery Market Outlook 2025: Mapping Growth, Innovation, and Regional Shifts
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What Are the Projected Market Size and Growth Rates for the Artificial Intelligence (AI) In Drug Discovery Market From 2025 To 2029?
In recent times, the artificial intelligence (AI) market for drug discovery has seen a significant expansion. Its growth is projected to rise from a market value of $1.78 billion in 2024 to $2.33 billion in 2025, boasting a Compound Annual Growth Rate (CAGR) of 30.5%. Factors such as the emergence of new markets, an increasing number of chronic disease cases, greater adoption of AI to increase cost-efficiency in drug discovery, and stringent quality protocols imposed on drug manufacturers have all contributed to its growth during the historic period.
The market size for artificial intelligence (AI) in drug discovery is predicted to undergo substantial growth in the upcoming years. The market is estimated to reach $5.89 billion by 2029, growing at a compound annual growth rate (CAGR) of 26.1%. Factors contributing to this anticipated growth during the forecast period include government backing, a rise in healthcare spending, and the growing use of cloud-based apps and services. Notable trends for this period encompass the amalgamation of multi-omics data, the employment of AI in target selection and drug screening, the launch of AI innovation labs and a surge in investment in partnerships and collaborations.
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What External and Internal Drivers Are Contributing to the Growth of theArtificial Intelligence (AI) In Drug Discovery Market?
The surge in need for individualized therapeutic options is anticipated to fuel the expansion of artificial intelligence (AI) in the medication discovery market. Individualized medicine involves the utilisation of information about an individual’s genetic or protein makeup to prevent, identify, or treat diseases. AI is poised to significantly contribute to the creation of these individualised medications, playing a pivotal role across all pertinent stages of clinical development and launch of new custom health items. This includes identifying suitable intervention targets and assessing the effectiveness of these targets. For example, the Personalized Medicine Coalition, a professional membership body in the US, reported in February 2024 that the US Food and Drug Administration (FDA) greenlighted 12 individualized medications in 2022. These represented nearly 34% of all the new therapeutic molecular entities approved for that time. Consequently, the escalating demand for personalized medicine is accelerating the growth of AI in the drug discovery market.
What Segment Types Define the Artificial Intelligence (AI) In Drug Discovery Market Structure?
The artificial intelligence (AI) in drug discoverymarket 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 Geographic Areas Hold the Strongest Growth Potential 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
What Long-Term Trends Are Transforming the Competitive Landscape of the Artificial Intelligence (AI) In Drug Discovery Market?
Strategic collaborations for research and discovery of drugs using AI are being adopted by leading firms in the AI drug delivery market, resulting in substantial growth in the field of artificial intelligence in drug discovery. For example, in August 2022, Atomwise, an American company specializing in artificial intelligence systems, formed a partnership with Sanofi, a French pharmaceutical and healthcare firm. The goal of this collaboration was to identify and research up to five pharmacological targets using Atomwise’s AI-driven AtomNet technology. Atomwise received an upfront payment of $20 million from Sanofi to discover, develop, and progress lead compounds for up to five Sanofi-exclusive targets.
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What Is the Definition of the Artificial Intelligence (AI) In Drug Discovery Market?
Artificial Intelligence (AI) in drug discovery refers to the use of machine learning algorithms and data-driven models to accelerate and improve the process of identifying and developing new drugs. AI can analyze vast datasets to predict drug-target interactions, optimize molecular structures, and identify potential candidates faster than traditional methods.
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