The ongoing rise of artificial intelligence (AI) is significantly impacting various industries, with the pharmaceutical and biotech sectors being no exception. It is hardly surprising that both large and small pharmaceutical organizations are increasingly adopting AI drug discovery platforms to streamline research and development processes, reduce discovery timelines and costs, and enhance overall efficiency.

This report forecasts revenue growth at global, regional, & country levels and provides an analysis on industry trends in each of the sub-segments from 2018 to 2030.

The brain tumor segment is anticipated to grow at the fastest growth rate over the forecast periodin AI in oncology market with the rising prevalence of the condition among the population

Al in Drug Discovery Market by Offering (Software, Service), Technology (Machine Learning, Deep Learning), Application (Cardiovascular, Metabolic, Neurodegenerative), End User(Pharma, Biotech, CROS) & Region - Global Forecast to 2027

AI in Drug Discovery Market: Industry Forecast (2022-2029) by Offerings,Therapeutic insights, Application Area, and Region

By focusing on specific scientific and operational pain points and fully integrating AI into research workflows, biopharma companies can deliver greater patient impact and significant value.

Major players in the artificial intelligence (AI) in drug discovery market are IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, Benevolent AI, Exscientia, Cyclica and BIOAGE.

Artificial Intelligence In Drug Discovery Market Size, Share & Trends Analysis Report By Application (Drug Optimization & Repurposing, Preclinical Testing), By Therapeutic Area, By Region, And Segment Forecasts, 2023 - 2030

In the future, it is expected that it will contribute to more personalized and more effective treatments. Integrating AI can help model and simulate cellular behavior, analyze, and process images for cell tracking and tissue engineering, and analyze large amounts of genomic and proteomic data. Together, these fields have the potential to transform healthcare and improve patient outcomes.

Integration of artificial intelligence (AI) into cancer research is currently addressing many of the challenges where medical experts fail to bring cancer to control and cure, and the outcomes are quite encouraging.

Continuous research in machine learning and efforts toward its practical application will maximize the predictive performance of AI—using large amounts of organized data and abundant computational resources—and dramatically improve the predictive accuracy of disease diagnosis, prevention, and treatment in diabetes.

Artificial Intelligence in Drug Discovery Market Report Summaries Detailed Information By Top Key players Microsoft, NVIDIA Corporation, IBM Corporation, Atomwise, Inc., DEEP GENOMICS, among others