AI In Drug Discovery Market Size, Share, Growth Analysis, By Component (Software, Services), By Technology (Machine Learning, Deep Learning), By Application (Target Identification, Molecule Screening), By Region - Industry Forecast 2025-2032

AI in Drug Discovery Market size was valued at USD 1,427.67 Million in 2023 and is poised to grow from USD 1850.26 Million in 2024 to USD 14725.63 Million by 2032, growing at a CAGR of 29.6% during the forecast period (2025-2032).

The need for new medical cures, increased manufacturing capabilities of drugs in the life sciences sector, and breakthroughs in technology create a rising demand for AI-powered drug development solutions. Artificial intelligence technologies, including machine learning and deep learning, are being applied to the following stages of drug discovery, including initial compound screening and success rate for clinical trials. In addition, it is expected that increasing funding, investments, and startups in developing AI-based applications will drive AI in drug discovery market growth further. In addition, through addressing potential issues, increasing accuracy and efficiency, and reducing cycle times, the introduction of AI in the drug development process through clinical trials has revolutionized the entire sector. As such, this high-tech approach is getting more and more in favor with stakeholders in the life sciences industry as its benefits are increasingly being recognized. Clinical Trials Arena data for 2021 reported a sharp rise in the number of strategic alliances and collaborations between pharmaceutical corporations and AI-driven drug development organizations; this number increased from 4 in 2015 to 27 in 2020. This trend reflects the trend whereby AI is becoming increasingly useful as it accelerates the process of discovering and researching drugs. The growth momentum of AI in drug discovery industry is being facilitated by the availability of several alternatives, such as data mining and customization capabilities, for implementing AI technologies in drug discovery processes. The accuracy of identifying drug molecule binding characteristics improves significantly with the incorporation of machine learning and deep learning algorithms into AI systems. 

US AI in Drug Discovery Market is poised to grow at a sustainable CAGR for the next forecast year.