Global AI in Precision Medicine Market is Expected to
New York, USA, May 28, 2025 (GLOBE NEWSWIRE) -- Global AI in Precision Medicine Market is Expected to Showcase a Significant Growth at a Massive CAGR of ~33% by 2032 | DelveInsight
The AI in precision medicine market is experiencing significant growth, driven by the increasing global prevalence of chronic and genetic disorders, which has heightened the demand for personalized treatment approaches. This growth is further supported by the increasing demand for precision diagnostics and customized therapies that leverage AI’s capabilities in analyzing complex biological data. Advancements in AI-driven technologies, along with ongoing innovation in product development, are improving the accuracy and efficiency of precision-based interventions.
DelveInsight’s AI in Precision Medicine Market Insights report provides the current and forecast market analysis, individual leading AI in precision medicine companies’ market shares, challenges, AI in precision medicine market drivers, barriers, trends, and key market AI in precision medicine companies in the market.
Key Takeaways from the AI in Precision Medicine Market Report
To read more about the latest highlights related to the AI in precision medicine market, get a snapshot of the key highlights entailed in the Global AI in Precision Medicine Market Report
AI in Precision Medicine Overview
Artificial intelligence (AI) is revolutionizing precision medicine by enabling highly personalized approaches to disease diagnosis, treatment, and prevention. By analyzing vast datasets from genomic sequencing, electronic health records, imaging, and wearable devices, AI algorithms can uncover patterns and biomarkers that are often invisible to human researchers. These insights allow clinicians to identify specific disease subtypes, predict individual patient responses to therapies, and tailor treatments to genetic profiles, thus improving efficacy and reducing adverse effects. In oncology, for instance, AI is helping identify actionable mutations and optimize targeted therapies, bringing more precise interventions to patients.
Beyond diagnosis and treatment, AI also plays a crucial role in accelerating drug discovery and development in precision medicine. Machine learning models can predict drug-target interactions, simulate clinical outcomes, and identify suitable patient cohorts for clinical trials, significantly cutting down timelines and costs. Moreover, AI enhances real-time monitoring of patient health through integration with digital health tools, facilitating timely interventions and adaptive treatment strategies. As data grows more complex and voluminous, AI's ability to synthesize, learn, and adapt offers an indispensable advantage in realizing the full potential of precision medicine.
AI in Precision Medicine Market Insights
North America held the largest share of the AI in precision medicine market from 2025 to 2032. This leading position can be attributed to several key factors, including the increasing prevalence of chronic conditions such as cancer, lifestyle-related illnesses like diabetes, and various infectious diseases. The region also benefits from robust R&D initiatives in AI-driven precision medicine, a well-developed healthcare infrastructure.
In addition, major companies in the region are making substantial R&D investments to bring cutting-edge AI-based precision medicine solutions to market. For instance, in April 2024, Prenosis secured FDA De Novo marketing authorization for its Sepsis ImmunoScore™, an AI-powered diagnostic tool that supports precision diagnosis and risk assessment for sepsis. Likewise, in February 2025, Ibex Medical Analytics received FDA 510(k) clearance for Ibex Prostate Detect, an AI-enabled in vitro diagnostic device that generates heatmaps to detect small or rare prostatic cancers, offering a critical diagnostic aid for pathologists.
As a result of these combined factors, the AI in precision medicine market is expected to experience significant growth in North America throughout the forecast period.
To know more about why North America is leading the market growth in the AI in precision medicine market, get a snapshot of the AI in Precision Medicine Market Outlook
AI in Precision Medicine Market Dynamics
The AI in precision medicine market is undergoing rapid transformation, driven by the convergence of big data analytics, machine learning, and personalized healthcare. Precision medicine focuses on tailoring medical treatment to the individual characteristics of each patient, and AI enables this by analyzing vast datasets from genomic information to electronic health records to identify patterns, predict outcomes, and guide clinical decisions. This has created significant demand for AI-enabled platforms that can support drug discovery, diagnostics, and treatment planning, especially in oncology, rare diseases, and chronic conditions.
Market growth is being accelerated by increasing investments from pharmaceutical companies, biotech startups, and technology giants. These players are leveraging AI to reduce the cost and time of clinical trials, improve target identification, and develop more precise biomarkers. Government initiatives like the U.S. Precision Medicine Initiative and the EU’s Digital Health Strategy are also catalyzing adoption by funding R&D and creating regulatory frameworks that support innovation in AI-driven healthcare solutions. As a result, the global market for AI in precision medicine is projected to grow at a strong CAGR through the next decade.
Despite these tailwinds, the market faces several challenges. Data privacy and interoperability remain major hurdles, especially given the sensitive nature of health data and the lack of standardized health IT systems across countries and institutions. Moreover, ethical concerns around algorithmic bias, transparency, and patient consent are prompting calls for tighter regulation and governance. Trust in AI systems remains a key barrier to adoption among healthcare professionals, who often require explainable and clinically validated outputs before integrating AI into routine practice.
Nevertheless, the competitive landscape is vibrant. Major tech firms are partnering with hospitals and research institutions to advance AI-driven care models. Startups focusing on niche applications, such as AI-powered pathology, genomic interpretation, and personalized oncology treatments, are also attracting significant venture capital. As the ecosystem matures, we can expect increasing consolidation and the emergence of integrated platforms that bridge diagnostics, therapeutics, and decision support, further driving market expansion.
Get a sneak peek at the AI in precision medicine market dynamics @ AI in Precision Medicine Market Dynamic Analysis
| Report Metrics | Details |
| Coverage | Global |
| Study Period | 2022–2032 |
| AI in Precision Medicine Market CAGR | ~33% |
| AI in Precision Medicine Market Size by 2032 | USD 10.2 Billion |
| Key AI in Precision Medicine Companies | TEMPUS, GE HealthCare, Qure.ai, Envisionit Deep AI (Pty) Ltd., Avicenna.AI, Aignostics, Inc., Proscia Inc., Ultivue, Inc., Prenosis, Inc., IBEX, Cleerly, Inc., Paige AI, Inc., Densitas® Inc., Photocure ASA, iCAD, Inc., Eko Health, Inc., Owkin, Inc, Massive Bio, Deep Bio Inc., Atomwise Inc., among others |
AI in Precision Medicine Market Assessment
Which MedTech key players in the AI in precision medicine market are set to emerge as the trendsetter explore @ AI in Precision Medicine Companies
Table of Contents
| 1 | AI in Precision Medicine Market Report Introduction |
| 2 | AI in Precision Medicine Market Executive Summary |
| 3 | Competitive Landscape |
| 4 | Regulatory Analysis |
| 5 | AI in Precision Medicine Market Key Factors Analysis |
| 6 | AI in Precision Medicine Market Porter’s Five Forces Analysis |
| 7 | AI in Precision Medicine Market Layout |
| 8 | AI in Precision Medicine Market Company and Product Profiles |
| 9 | KOL Views |
| 10 | Project Approach |
| 11 | About DelveInsight |
| 12 | Disclaimer & Contact Us |
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