Artificial Intelligence (AI) in Diagnostics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Hardware, Services); By Diagnosis (Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others); By Region, Segment

Artificial Intelligence (AI) in Diagnostics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Hardware, Services); By Diagnosis (Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others); By Region, Segment Forecast, 2022 - 2030

The global artificial intelligence (AI) in diagnostics market size is expected to reach USD 5,225.4 Million by 2030 according to a new study by Polaris Market Research. The report “Artificial intelligence (AI) In Diagnostics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Hardware, Services); By Diagnosis (Cardiology, Oncology, Pathology, Radiology, Chest and Lung, Neurology, Others); By Region, Segment Forecast, 2022 – 2030” gives a detailed insight into current market dynamics and provides analysis on future market growth.

The market is emerging as a boon in the healthcare sector owing to the growing adoption of AI technology to assist medical professionals due to the increased rate of chronic diseases and overcome the challenge of physicians’ shortfall in recent years. AI in disease diagnosis has the immense potential to detect diseases prior to their occurrence helps diagnosticians prepare for preventive measures and avoid emergencies.

Artificial intelligence (AI) in medical testing offers a greater value advantage of detecting multiple diseases with single image recognition than traditional technologies of specific disease detection and speed up the tests and reporting processes.

Based on component type, the software segment held the largest share in the global industry in 2020. The use of Artificial intelligence (AI) based software solutions to detect multiple diseases with the same image enhances the diagnostician’s decision-making capability while identifying the symptoms of numerous ailments with single image processing.

With the COVID-19 outbreak, governments worldwide have also asked for quick adoption of the latest technologies and to detect signs of decreases to meet emergency medical conditions. Non-profit organizations and private players have also shown interest by investing in diagnostics technologies.