Artificial Intelligence (AI) in Diagnostics Market Analysis

Component Segment Analysis

The software segment is anticipated to dominate the AI in diagnostics market, with a share of 58.6% in the forecast period. This is due to the rising demand for diagnostic software integrated with AI to strengthen the diagnostic workflow for the early detection and diagnosis of diseases. The key functions accompanying AI-driven software applications in medical imaging include lesion detection, radiology workflow management, and predictive analytics, which are highly critical in a modern clinical setting.

Software solutions are provided to streamline diagnostic processes and minimize human errors to enable informed decisions by clinicians. For example, Roche entered into a partnership with PathAI in February 2024 to co-develop AI-based pathology software that could be integrated with streamlined workflow processes for pathologists. This further illustrates how much diagnostics AI-based collaborations can rely on software, as it greatly contributes to improving clinical outcomes by bringing in the prospects of quicker and more accurate detection of diseases.

End use Segment Analysis

The hospitals and clinics segment is likely to continue leading the artificial intelligence in diagnostics market and account for a 45.2% share throughout the forecast period. This growth is due to increased patient numbers and the higher acceptance of AI diagnostics in clinical settings, where the need for efficient and clear diagnostic tools is unprecedented. Siemens Healthineers announced a partnership with Ohio State Wexner Medical Center in January 2022 to provide advanced imaging technologies along with AI-powered diagnostic solutions. It further positioned hospitals as the key driver for AI adoption. The collaboration illustrates just how crucial a role this technology plays in major healthcare institutions in elevating diagnostic capabilities.

Our in-depth analysis of the AI in diagnostics market includes the following segments: