Saturday, August 15, 2026
Facts you can rely on·101 entities·4,805 sourced facts
Source trace. Via News points to the documents behind its reporting and shows what we drew from each — so you can check any claim. How we source
Press releaseGlobeNewswire· March 2, 2026

AI in Clinical Trials Market Research 2026: Market to Reach $18.62 Billion by 2040 with IQVIA, Medidata, IBM Watson, Oracle, and Phesi Leading Through Integrated Data and Patient Matching Platforms

View original at globenewswire.com
AI in Clinical Trials Market Research 2026: Market to Reach $18.62 Billion by 2040 with IQVIA, Medidata, IBM Watson, Oracle, and Phesi Leading Through Integrated Data and Patient Matching Platforms Dublin, March 02, 2026 (GLOBE NEWSWIRE) -- The "AI in Clinical Trials Market, till 2040: Distribution by Trial Phase, Targ…
Opening lines of the source · GlobeNewswire · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Clinical trials consume roughly 50-70% of drug development timeline and budget

    80% confidence
  • Asia-Pacific currently captures a significant share of the AI in clinical trials market due to massive, diverse patient population and cost-effective operations

    80% confidence
  • Many clinical trials fail due to design flaws, recruitment issues, stratification errors, and high dropout rates

    80% confidence
  • Oncological disorders currently capture majority share of the AI in clinical trials market due to high volume and complexity of cancer trials

    80% confidence
  • Developing novel therapeutic interventions typically spans about 10-15 years

    80% confidence
  • Generative AI can potentially cut drug development time by 50% and costs by 25%

    80% confidence
  • The global artificial intelligence in clinical trials market size is estimated to grow from USD 2.09 billion in 2026 to USD 18.62 billion by 2040, at a CAGR of 17.0%

    80% confidence
  • Digital twins enable smaller clinical trials with higher statistical power by simulating individual patient responses

    80% confidence

Cited in these Via News reports