- The market is experiencing rapid growth, driven by advancements in AI technologies like machine learning and deep learning, which are streamlining drug discovery processes and reducing costs.
- AI is being widely adopted for drug optimization, repurposing, preclinical testing, and clinical trial design, significantly accelerating the drug development timeline
- North America leads the market due to its strong pharmaceutical sector, while the Asia-Pacific region is expected to grow rapidly, fueled by increased investments in research and development
For instance, AI technologies such as machine learning and deep learning are being used to predict success rates in clinical trials, optimize drug candidates, and identify novel therapeutic targets, significantly reducing the time and cost of drug development.
- The adoption of AI in drug discovery is revolutionizing the pharmaceutical industry by addressing challenges such as high costs, lengthy timelines, and low success rates in traditional drug development processes.
