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According to Fortune Business Insights, the global AI in diagnostics market size was valued at USD 5.15 billion in 2024. The market is projected to grow from USD 7.03 billion in 2025 to USD 96.52 billion by 2032, exhibiting a CAGR of 45.4% during the forecast period. North America dominated the AI in diagnostics market with a market share of 51.46% in 2024.
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AI in Diagnostics Market Demand Outlook: Rising Investments in AI-Enabled Diagnostic Platforms The AI in diagnostics market is expanding rapidly as healthcare providers adopt advanced artificial intelligence tools to improve accuracy, speed, and efficiency in disease detection. AI systems are being used extensively in radiology, pathology, cardiology, oncology, and neurology to assist with imaging interpretation, predictive analytics, and data-driven diagnosis. Driven by a global shortage of specialists, rising chronic disease cases, and increased funding for AI adoption, this market is projected to grow at impressive rates worldwide. Major players such as Microsoft, NVIDIA, and Google are leading the effort to integrate AI capabilities into clinical workflows. As regulatory frameworks evolve and digital healthcare adoption increases, AI in diagnostics is expected to become a core component of modern medical practice. According to Fortune Business Insights, the global AI in diagnostics market size was valued at USD 5.15 billion in 2024. The market is projected to grow from USD 7.03 billion in 2025 to USD 96.52 billion by 2032, exhibiting a CAGR of 45.4% during the forecast period. North America dominated the AI in diagnostics market with a market share of 51.46% in 2024. Top Companies Leading the Innovation Amazon.com, Inc. (U.S.) Microsoft Corporation (U.S.) NVIDIA Corporation (U.S.) Google (U.S.) Siemens Healthcare Private Limited (Germany) Aidoc (Israel) PathAI, Inc. (U.S.) Digital Diagnostics Inc. (U.S.) Tempus AI (U.S.) Qure.ai (U.S.) Key Industry Development: December 2024 Siemens Healthineers AG and DeepHealth, Inc. announced a strategic partnership to integrate AI-powered informatics into ultrasound workflows—marking a significant step in enabling smarter imaging hardware. This collaboration exemplifies how legacy medical technology brands are adopting AI to enhance diagnostic accuracy and streamline clinical operations. Drivers & Restraints Main Drivers Surge in Chronic Diseases: A rising prevalence of conditions like cancer, cardiovascular illness, and neurological disorders is pushing demand for rapid, precise diagnostic tools. For instance, breast cancer cases in the U.S. are projected to reach approximately 310,720 women and 2,800 men in 2024 alone. Healthcare Workforce Shortages: Radiology and pathology are significantly understaffed—UK radiology staff shortages were estimated at 1,939 consultants in 2021, potentially rising to 3,600 by 2025.
Processing Big Data in Real Time: AI accelerates data interpretation and delivers early insights, especially in oncology, cardiology, and neurology—critical areas where every minute counts. Key Restraints Resistance to Adoption: Some healthcare professionals hesitate to embrace AI partially due to fears of job displacement and concerns about the reliability of automated tools—posing a challenge to faster implementation. Market Segmentation By Component Solutions/Software Commanding the largest market share in 2024, this segment comprises AI algorithms and analytics platforms. Continuous collaborations between tech giants and med-tech firms are driving rapid innovation in diagnostic capabilities. Services This segment is growing steadily and includes consulting, implementation, and maintenance services. As more healthcare providers adopt AI, demand for expert service providers continues to rise. By Specialty Oncology Oncology holds the leading market share, propelled by the global cancer burden and a strong demand for early and accurate diagnostic tools. Neurology, Pathology, Others These specialties are witnessing growing AI integration. AI assists in early diagnosis of neurological disorders and enables automation in pathological image interpretation. By End-User Hospitals & Clinics The primary adopters of AI-driven diagnostics, benefiting from established infrastructure and high patient inflow. Diagnostic & Imaging Centers Increasingly relying on AI to enhance accuracy and efficiency in interpreting CT, MRI, and X-ray results. Research & Academic Institutions Critical contributors to AI development, focusing on research, validation, and clinical trial implementation. Regional Market Insights North America Dominating the global landscape, the region reached a valuation of USD 2.65 billion in 2024, thanks to strong digital infrastructure, advanced AI adoption, and the presence of leading technology providers.
United States A major innovation hub, with partnerships like GE Healthcare and AWS accelerating the deployment of generative AI models in diagnostics. Asia-Pacific Poised as the fastest-growing market, driven by rising chronic disease rates and a shortage of skilled radiologists. In March 2025, a Hyderabad-based hospital deployed AI solutions for early detection of breast, lung, and pancreatic cancers. Explore the full research report with detailed insights and TOC: https://www.fortunebusinessinsights.com/ai-in-medical-diagnostics-market-111351 Future Potential and Market Outlook The AI in diagnostics market is far from maturity, with a projected CAGR of 45.4% through 2032, indicating substantial untapped opportunities. Key Growth Areas Expansion into Under-Served Specialties AI has yet to be widely implemented in areas such as ophthalmology, autoimmune disorders, and infectious disease diagnostics. Precision Diagnostics Government agencies and venture capitalists are increasing investments to support AI tools tailored for personalized and accurate diagnoses. Generative AI Models Deep partnerships—like Microsoft and NVIDIA—are paving the way for advanced imaging solutions powered by generative AI, enhancing clinical decision-making. Broader Clinical Integration AI is increasingly being embedded into PACS, EHRs, and radiology systems. The Siemens and DeepHealth collaboration showcases how integration is optimizing diagnostic workflows Conclusion The AI in Diagnostics market is set to redefine global healthcare delivery. From cost reduction to early disease detection and remote diagnostics, the shift is monumental. Reaching USD 96.5 billion by 2032—with an impressive CAGR of 45%—this is not just technology evolution—it’s a paradigm shift. Bolstered by innovation, investment, and integration, AI-enabled diagnostics will soon become standard practice— ushering in a future of smarter, faster, and more accessible healthcare for all. About Us: Fortune Business Insights provides expert corporate analysis and accurate data, enabling businesses of all sizes to make timely decisions. We offer customized solutions tailored to each client’s needs, helping them address unique challenges. Our goal is to empower clients with holistic market intelligence and offer granular insights into the market they operate in.
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