AI in medicine market projected to hit $18.1 billion by 2025

By AI, Created 7:55 AM UTC, May 25, 2026, /AGP/ – The global artificial intelligence in medicine market is forecast to surge from $719 million in 2017 to $18,119 million by 2025, driven by growing healthcare data, precision medicine demand and wider use of machine learning, deep learning and natural language processing. North America leads the market now, while Asia-Pacific is expected to grow fastest.

Why it matters: - The AI in medicine market is moving from niche technology to a core healthcare tool, with implications for faster diagnosis, more personalized treatment and better operational efficiency. - The market’s projected rise to $18,119 million by 2025 signals sustained demand for software that can process medical data at scale. - Hospitals, research institutions and other healthcare providers stand to use AI more broadly across diagnostics, imaging, drug discovery, robotic surgery and patient monitoring.

What happened: - The AI in medicine market was valued at $719 million in 2017. - The market is projected to reach $18,119 million by 2025. - The forecast implies a 49.6% compound annual growth rate from 2018 to 2025. - Allied Market Research published the outlook from Portland, Oregon. - The report includes a sample PDF available here. - The company also promoted the full market page here.

The details: - AI in medicine uses algorithms and software to analyze complex medical data by approximating human cognition. - Growing volumes of electronic health records and medical imaging data are a key growth driver. - Demand for precision medicine and better patient outcomes is pushing adoption. - Machine learning, deep learning and natural language processing are the leading technologies in the market. - These tools support automated diagnosis, medical image analysis and drug discovery. - AI-powered predictive models are being used to identify health risks earlier and support intervention. - High implementation costs remain a major barrier. - Regulatory concerns continue to slow deployment. - A shortage of professionals with both AI and healthcare expertise also limits adoption. - North America holds the largest market share. - Asia-Pacific is expected to post the fastest growth. - Machine learning dominates the technology segment because it can analyze large datasets and improve decision-making. - Diagnostics and imaging lead the application segment, driven by rising use of AI in medical imaging. - Hospitals and research institutions are the primary end users. - The regional outlook also includes Europe and LAMEA, alongside North America and Asia-Pacific.

Between the lines: - The forecast reflects a broader shift in healthcare toward data-heavy decision-making and automation. - The biggest near-term opportunity is not just in diagnosis, but in workflows that reduce clinician burden and improve speed. - The main constraints are familiar for healthcare tech: cost, regulation and talent scarcity. - Fast growth in emerging markets suggests the next wave of adoption may come from systems investing in digital infrastructure rather than from mature markets alone.

What’s next: - Continued investment in healthcare data systems is likely to expand the addressable market for AI tools. - Adoption should keep rising in imaging, predictive analytics and treatment planning as providers seek efficiency gains. - Market growth will likely stay concentrated in North America near term, while Asia-Pacific captures more of the expansion rate. - More product development will likely focus on machine learning-driven diagnostics and decision support.

The bottom line: - AI in medicine is scaling fast because healthcare is drowning in data and needs better ways to turn that data into clinical action.