The global deep learning in drug discovery market was valued at USD 4.63 Billion in 2024, driven by advancements in artificial intelligence technologies across the globe. The market is anticipated to grow at a CAGR of 21.90% during the forecast period of 2025-2034, with the values likely to reach USD 33.54 Billion by 2034.
Base Year
Historical Period
Forecast Period
In July 2024, Exscientia launched an AI-powered platform using AWS to accelerate drug discovery. The platform combines generative AI with robotic lab automation to generate a high-quality drug candidate more speedily and less expensively, thereby contributing to significant market growth.
One of the major market trends is the rising collaborations and partnerships. For instance, in September 2023, Merck announced that they partnered with BenevolentAI and Exscientia to utilize AI for expediting drug discovery.
The rising demand for personalized medicine and the growing focus on cost-effective drug discovery processes are anticipated to elevate the market value in the forecast period.
Deep learning in drug discovery applies advanced AI techniques to analyze complex biological data, identify drug targets, and predict molecule interactions. It boosts efficiency in the process of discovering and optimizing new drugs. The market is witnessing rapid growth, due to advancements in artificial intelligence and machine learning. This technology accelerates drug discovery by analyzing vast datasets, identifying patterns, and predicting drug candidates. Its applications cut across lead discovery, optimization, and repurposing, streamlining research timelines, reducing the costs associated with research, and driving innovation in the pharmaceutical and biotechnology industries.
Advancements in Artificial Intelligence to Elevate the Market Value Significantly
The market is experiencing rapid growth, fueled by significant advancements in artificial intelligence. For instance, in September 2024, the United States Department of Health and Human Services launched the Target project, which uses deep learning and generative AI to speed up antibiotic discovery and tackle antimicrobial resistance. With these technologies, rapid molecule screening and in silico testing can be accelerated, thereby cutting costs and time. It addresses the need for new treatments and transforms the drug discovery market.
The market is witnessing several trends and developments to improve the current scenario. Some of the notable trends are as follows:
The market report offers a detailed analysis of the market based on the following segments:
Market Breakup by Therapeutic Area
Market Breakup by Process
Market Breakup by End User
Market Breakup by Region
Segmentation Based on Therapeutic Area to Witness Substantial Growth
Based on therapeutic area, the market is segmented into oncological disorders, infectious diseases, neurological disorders, immunological disorders, endocrine disorders, cardiovascular disorders, respiratory disorders, eye disorders, musculoskeletal disorders, inflammatory disorders, and others. Oncological disorders are expected to have a substantial share of the market. The high incidence of cancer and the urgency to discover novel therapies drive the adoption of deep learning to search for candidates, optimize treatment, and enhance precision medicine.
The market is divided into regions such as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America is expected to account for a significant share of the market because of its strong pharmaceutical industry, advanced AI infrastructure, and huge investments in R&D. The United States is a key contributor, with initiatives from tech giants and startups transforming the sector. Favorable regulation and strong collaboration between academia and industry also complement the region's dominance in this market.
The key features of the market report comprise patent analysis, grants analysis, funding and investment analysis, and strategic initiatives by the leading players. The major companies in the market are as follows:
Aiforia Technologies is one of the leading players in the market. The company was established in 2013 and has headquarters in Helsinki, Finland. Their flagship solutions Aiforia® Create and Aiforia® Studies use AI to transform pathology workflows with automated, GLP-compliant image analysis for preclinical research, accelerating discoveries in drug development.
Ardigen, established in 2015, is an AI leader for drug discovery. With headquarters located in Kraków, Poland, the company focuses on products such as phenAID, which is multi-modal and combines phenotypic and chemical data in enhanced predictions of Mode of Action (MoA) and bioactivity, speeding the delivery of novel drugs using phenotypic drug discovery.
Google LLC, through its subsidiaries and platforms, has significantly advanced the global deep learning in drug discovery market. For instance, DeepMind, a subsidiary of Alphabet Inc., introduced AlphaFold, an AI system capable of predicting protein structures with high accuracy. This innovative platform has been instrumental in understanding biological processes and accelerating drug discovery efforts.
Huawei Technologies Co., Ltd., located in Shenzhen, China, was founded in 1987. The company is a global leader in telecommunications and technology, providing innovative AI solutions. In deep learning drug discovery, Huawei has the leading product Pangu Drug Molecule Model, which utilizes AI technology to predict the effective drug compounds used for disease treatment, saving on research and development costs.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other key players in the market include Aegicare (Shenzhen) Technology Co., Ltd, Berg LLC, Merative L.P, Nference, Inc., Nvidia Corporation, Owkin Inc., Phenomic AI Inc., Atomwise Inc., BenevolentAI Limited, and XtalPi Inc.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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| REPORT FEATURES | DETAILS |
| Base Year | 2024 |
| Historical Period | 2018-2024 |
| Forecast Period | 2025-2034 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Therapeutic Area |
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| Breakup by Process |
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| Breakup by End User |
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| Breakup by Region |
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| Market Dynamics |
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| Supplier Landscape |
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| Companies Covered |
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