The AI in diagnostics market represents a rapidly advancing segment of the healthcare industry, integrating artificial intelligence to enhance the accuracy, speed, and efficiency of disease detection and clinical decision-making. As healthcare systems face growing challenges such as rising patient volumes, workforce shortages, and the need for early diagnosis of complex conditions, AI tools are being increasingly adopted to support radiologists, pathologists, and clinicians. These technologies utilize machine learning, deep learning, and natural language processing to analyze imaging, lab results, and unstructured medical data with greater precision. The market is further driven by the proliferation of digital health infrastructure, growing availability of large medical datasets, and increasing investments in AI innovation. As regulatory frameworks evolve and clinical validation improves, AI-powered diagnostics are expected to play a foundational role in building scalable, data-driven healthcare models worldwide.
According to Fortune Business Insights, the global AI in diagnostics market 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. In 2024, North America dominated the AI in diagnostics market with a market share of 51.46%.
In December 2024, Siemens Healthineers AG partnered with DeepHealth, Inc. to integrate AI-powered informatics into ultrasound imaging hardware and workflows. This strategic move demonstrates the acceleration of AI-enhanced diagnostics entering mainstream clinical practice.