Towards Healthcare
Machine Learning in Drug Discovery Market 2025 Trends

Machine Learning in Drug Discovery Market Fuels Personalized Medicine and ADMET Predictions

Advantages of ML in drug discovery, including raised efficiency and prediction rates, are accelerating the drug discovery process as growing cases of various diseases are fueling the expansion of the market across the world. Whereas North America dominated the market due to escalating funding and investments in AI and ML-powered drug discovery by pharmaceutical companies, startups, and venture capitalists.

  • Insight Code: 5815
  • No. of Pages: 150+
  • Format: PDF/PPT/Excel
  • Published: July 2025
  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2022
  • Base Year: 2023
  • Estimated Years: 2024-2033

About The Author

Deepa Pandey is a focused and detail-oriented market research professional with growing expertise in the healthcare sector, delivering high-quality insights across therapeutic areas, diagnostics, biotechnology, and healthcare services.

She began her research career at Precedence Research, where she contributed to a wide range of healthcare industry studies, helping build a strong foundation in market intelligence and strategic research. Currently, Deepa plays a critical role at Towards Healthcare, while also extending her research capabilities across Statifacts, supporting cross-industry intelligence initiatives with a focus on healthcare.

Her ability to distill complexity into clarity has made her a trusted contributor to both internal teams and external clients across the healthcare value chain. By combining professionalism with an evolving depth in healthcare research, Deepa consistently adds value to projects that demand critical thinking, market precision, and industry-specific knowledge. Her contributions help organizations navigate the complexities of regulated markets and make data-backed growth decisions.

FAQ's

The global machine learning in drug discovery market is rapidly expanding, with forecasted growth through 2034 fueled by technological advances and sector-wide adoption.

North America is currently leading the machine learning in drug discovery market due to growing funding and investments in AI and ML-powered drug discovery by pharmaceutical companies, startups, and venture capitalists.

The machine learning in drug discovery market includes 6 segments, such as by application stage, by learning type algorithm, by deployment mode, by therapeutic area, by end-user, and by region etc.

Some key players include Insilico Medicine, Exscientia, Atomwise, BenevolentAI, and Schrödinger, Inc.

Key trends include rising demand for drug discovery and personalized medicine, growth in AI and ML-powered startups, and innovation in technologies

Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), and Deep learning are commonly used machine learning algorithms.

Artificial intelligence (AI) has the potential to transform drug discovery and pharmaceutical development by allowing efficient, precise, and data-driven approaches for target identification, virtual screening, and molecular pathology prediction, among other applications.

Natural Language Processing (NLP) is a subtype of Artificial Intelligence (AI) that focuses on allowing computers to understand, interpret, and generate human language.

GOV.UK, US FDA.GOV, PIB.GOV, BBC.GOV, NIH.GOV, US.GAO.GOV, NCI.GOV, NSF.GOV