Stroke AI Market worth USD 1.60 billion by 2030
The report "Stroke AI Market by Offering (Software, [AI], Services), Classification (ICD, CPT, HCPCS), Specialty (Surgical, Radiology), Function (Code, Assignment, Reimbursement, Analytics, Denial, Audit), End User (Hospital, ASC, Payers) - Global Forecast to 2030" is projected to reach USD 1.60 billion by 2030 from USD 0.32 billion in 2025, at a CAGR of 38.4% during the forecast period.
Browse 350 market data Tables and 50 Figures spread through 300 Pages and in-depth TOC on "Stroke AI Market by Offering (Software, [AI], Services), Classification (ICD, CPT, HCPCS), Specialty (Surgical, Radiology), Function (Code, Assignment, Reimbursement, Analytics, Denial, Audit), End User (Hospital, ASC, Payers) - Global Forecast to 2030"
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The market for stroke-related AI is growing due to an increasing number of cases and the urgent need for faster diagnosis and treatment. For instance, the Stroke Foundation’s Economic Impact of Stroke Report revealed that Australia experienced 45,785 strokes in 2023, marking the highest number seen in over two decades. In India, more than 1.8 million people are affected by strokes each year, and the Indian Stroke Association (ISA) emphasizes that nearly 80% of strokes could be prevented with timely intervention. This need for quicker diagnosis and treatment has led to a greater demand for the use of AI in analyzing CT and MRI scans, which will continue to positively influence the stroke AI market.
The hospitals segment accounted for the largest share of the stroke AI market in 2024.
By end user, the hospitals segment held the largest share of the market in 2024, as they represent the first point of contact for quick stroke diagnosis, triage, and treatment decisions. Hospitals have adopted AI tools to accelerate imaging interpretation and send notifications to care teams, thereby improving workflows in emergency and radiology departments. Hospitals are making significant advancements in AI-enabled stroke care. For instance, in January 2026, Gleneagles Hospital in Parel, India, launched an AI-based hub-and-spoke model for stroke care. This system connects peripheral diagnostic centers with the central stroke team. The software enhances clinical workflows, enables faster detection of large-vessel occlusions, and streamlines patient triage.
The ischemic stroke segment dominated the stroke AI market, by indication, in 2024.
The ischemic stroke segment holds the largest share in the stroke AI market, primarily due to the significantly higher prevalence of ischemic strokes and the urgent clinical need for rapid diagnosis and treatment. AI solutions are widely used to detect large vessel occlusions (LVO), score the Alberta Stroke Program Early CT Score (ASPECTS), and perform perfusion analysis. These applications are critical for time-sensitive decisions such as thrombolysis and mechanical thrombectomy. The ongoing advancements in technology and clinical adoption are anticipated to uphold the leading position of the ischemic stroke segment in the market. For example, companies like Brainomix and Aidoc facilitate rapid assessments of ischemic strokes through automated CT analysis and provide real-time triage alerts in emergency settings.
The Asia Pacific market will emerge as the fastest-growing market in the stroke AI market because of the increased incidence rate and large pool of patients in this region, coupled with a growing trend of adoption in healthcare technology. Hospitals in Asia are increasingly using AI technology in stroke care to provide better services in acute stroke situations. For example, in December 2025, Hallym University Sacred Heart Hospital in South Korea has adopted JLK’s AI brain imaging software to analyze CT and MRI scans for stroke assessment. This reflects the broader adoption of AI technologies in neuroimaging across Asian healthcare facilities.
Key Players
The report profiles key players such as Aidoc (US), Siemens Healthineers AG (Germany), RapidAI (US), Brainomix (UK), Canon Medical Systems Corporation (Japan), Viz.ai, Inc. (US), Brainomix (UK), Infervision (China), and Behold.ai (UK), among others.
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