Stroke AI Market Size, Growth, Share & Trends Analysis
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
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The global stroke AI market, valued at US$0.22 billion in 2024, stood at US$0.32 billion in 2025 and is projected to advance at a resilient CAGR of 38.4% from 2025 to 2030, culminating in a forecasted valuation of US$1.60 billion by the end of the period. The stroke AI market is growing steadily, driven by the need for faster stroke detection, improved clinical decision-making, and reduced time-to-treatment. Increasing adoption of AI-enabled CT and MRI analysis for stroke triage, coupled with rising stroke incidence, aging populations, and hospital digitization, is accelerating demand.
KEY TAKEAWAYS
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By RegionNorth America accounted for the largest share of 45.0% of the stroke AI market in 2024.
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By SolutionBy solution, the acute detection & triage segment dominates the market.
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By IndicationBy indication, the hemorrhagic stroke segment is growing at the fastest rate of 39.5% during the forecast period.
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By ModalityBy modality, the MRI segment is growing at the fastest rate of 39.7% during the forecast period.
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By End UserBy end user, the hospitals segment is expected to dominate the stroke AI market.
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Competitive LandscapeAidoc, Siemens Healthineers, and Viz.ai were identified as some of the star players in the stroke AI market, given their strong market share and product footprint.
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Competitive LandscapeHeuron and Biomind, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.
The stroke AI market is growing steadily as hospitals demand automation and faster solutions to handle acute stroke care. The improvement in AI imaging algorithms, the advent of CT or CTA-based triage solutions, and investments made in digital health infrastructure are all contributing to growth. Companies such as Viz.ai and others offer stroke AI platforms that improve diagnostic accuracy, reduce treatment times, and enhance clinical outcomes by rapidly analyzing CT/MRI scans.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The stroke AI market is being driven by real-time imaging analysis, LVO detection, and tele-stroke AI that enable faster diagnosis and treatment. A major disruption is the move from standalone tools to fully integrated, workflow-embedded AI solutions, alongside growing use of imaging biomarkers and cloud-based platforms to expand access and improve outcomes.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Level
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Address rising stroke incidence and improving diagnostic accuracy
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Accelerate time-to-treatment in acute stroke care
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Regulatory and clinical validation complexity
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Data privacy and interoperability concerns
Level
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Expand AI adoption across telestroke networks
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Enable population-scale stroke screening and risk prediction
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High implementation and integration costs
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Clinician resistance to workflow changes
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Address rising stroke incidence and improving diagnostic accuracy
The growing incidence of stroke cases across the world, along with the demand for rapid diagnosis, is one of the primary factors driving the stroke AI market. According to the World Stroke Organization, one in four individuals above 25 age would experience a stroke in their lifetime, putting immense pressure on the healthcare systems across the world. In the emergency care setting, AI tools that analyze CT and CTA scans to detect conditions such as large-vessel occlusion (LVO) or intracranial hemorrhage have emerged rapidly. For instance, stroke AI platforms such as Viz.ai have been used in stroke centers to enable rapid triage and notification of care team members in real-time.
Restraint: Regulatory and clinical validation complexity
Regulatory and clinical validation complexity remains a key restraint for the stroke AI market, as solutions must undergo rigorous clinical studies, multi-center validation, and regulatory review to prove safety and effectiveness across scanners and populations. For example, RapidAI has pursued multiple regulatory clearances for different stroke indications (e.g., perfusion, LVO), a process that is time- and cost-intensive and can slow product updates and market expansion, especially for smaller or early-stage AI developers.
Opportunity: Expand AI adoption across telestroke networks
The growth of telestroke systems in extending AI use remains a significant opportunity in the stroke AI market, as they can provide fast, specialist-level stroke evaluation to areas not served by onsite neurologists. AI-enhanced imaging evaluation capabilities can be quickly incorporated into telestroke systems to enable rapid stroke type and severity determination and support necessary treatments. For instance, Brainomix assists tele-stroke systems with AI-enhanced evaluation of CT and perfusion imaging, enabling stroke specialists to access specialist-level stroke care remotely.
Challenge: High implementation and integration costs
The high costs of implementation and integration are significant challenges in the stroke AI market. Implementing AI technology in hospitals and other medical institutions requires upgrades to existing infrastructure and the expenses associated with software subscriptions. These high costs can hinder the adoption of enterprise-wide stroke AI solutions, such as Aidoc, particularly in resource-poor settings. The expenses incurred during implementation in a radiology practice can be a considerable barrier.
STROKE AI MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
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AI-enabled CT/MRI analysis (ASPECTS, perfusion) embedded in imaging systems | Faster stroke assessment within native scanner workflows |
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AUTOStroke & Vitrea AI for CT-based stroke detection and workflow automation | Reduced time-to-diagnosis and improved imaging efficiency |
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Automated LVO detection and real-time stroke team alerts | Accelerates care coordination and treatment decisions |
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CT/CTA/CTP analysis for LVO, ASPECTS, and perfusion mismatch | Supports rapid triage for thrombectomy eligibility |
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AI triage of neurovascular findings on CT scans | Prioritizes critical stroke cases and reduces reporting delays |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The stroke AI market ecosystem consists of key vendors such as Siemens, Aidoc, and Viz.ai, alongside startups like Heuron and Biomind. Cloud service providers, including Amazon Web Services and Microsoft, facilitate scalable AI deployment. End users, including hospitals, imaging and diagnostic centers, clinics, and outpatient centers, adopt these solutions to enhance stroke diagnosis and improve care coordination.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Stroke AI Market, by Solution
In 2024, acute detection & triage held the largest share of the stroke AI market, as it directly supports time-critical decision-making in emergency stroke care, and significantly impacts outcomes. These solutions enable rapid identification of suspected stroke, large vessel occlusions, and hemorrhage, along with real-time alerts to stroke teams to accelerate treatment pathways. For example, platforms such as Qure.ai and RapidAI are widely used for automated LVO detection and emergency triage, reinforcing this segment’s dominant position.
Stroke AI Market, by Indication
In 2024, ischemic stroke held the largest share of the stroke AI market because it represents the majority of global stroke cases and requires highly time-sensitive, imaging-driven clinical decisions. In ischemic stroke, AI is primarily used to accelerate CT-based evaluation, enabling early identification of arterial occlusions, standardized assessment of stroke severity, and faster patient selection for reperfusion therapies such as thrombolysis and mechanical thrombectomy. For example, platforms from Viz.ai, RapidAI, and Brainomix are widely implemented in emergency departments and comprehensive stroke centers, reinforcing ischemic stroke as the primary focus and revenue-generating segment within the stroke AI market.
Stroke AI Market, by Modality
In 2024, CT held the largest share of the stroke AI market because it is the first-line modality for acute stroke evaluation in emergency departments. Non-contrast CT is routinely used to quickly rule out hemorrhage, while CT angiography (CTA) and CT perfusion (CTP) support LVO detection, all of which are well suited for AI automation . For example, stroke AI platforms such as Infervision, JLK, and Avicenna.AI are primarily optimized for CT-based workflows, reinforcing CT’s dominant position in the stroke AI market, while MRI remains more limited to follow-up and specialized use cases.
Stroke AI Market, by End User
In 2024, hospitals held the largest share of the stroke AI market as they are the primary centers for acute stroke diagnosis, emergency imaging, and interventional treatment such as thrombolysis and mechanical thrombectomy. AI solutions are deeply embedded in hospital emergency departments and comprehensive stroke centers to enable rapid LVO detection. For example, institutions such as Mayo Clinic and Cleveland Clinic have adopted stroke AI platforms to accelerate imaging interpretation and improve door-to-treatment times, reinforcing hospitals dominant position in the stroke AI market.
REGION
Asia Pacific region is expected to be the fastest-growing in stroke AI market during forecast period
The Asia Pacific region is projected to be the fastest-growing market for stroke AI, driven by rising stroke incidence, improvements in healthcare infrastructure, and the rapid adoption of AI-enabled diagnostics in emerging economies. Partnerships and innovative initiatives are further accelerating market growth. For instance, in October 2024, Qure.ai joined Roche’s Startup Creasphere program to enhance its AI imaging solutions by detecting early signs of stroke and other diseases across the Asia Pacific region, thereby supporting broader diagnostic implementation and healthcare transformation.
STROKE AI MARKET: COMPANY EVALUATION MATRIX
In the stroke AI market matrix, Siemens Healthineers AG (Star Player) leads with a dominant presence, leveraging its global imaging leadership and integrated stroke AI solutions across CT and MRI to drive large-scale clinical adoption. Nicolab B.V. (Emerging Leader) is driven by its cloud-based StrokeViewer platform, which enables AI-driven access to stroke imaging and collaboration across distributed stroke networks.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- Siemens Healthineers AG (Germany)
- RapidAI (US)
- CANON MEDICAL SYSTEMS CORPORATION (Japan)
- Aidoc (US)
- Viz.ai, Inc. (US)
- Brainomix (UK)
- Qure.ai (India)
- Infervision (China)
- Behold.ai (UK)
- JLK (South Korea)
- METHINKS (US)
- Nicolab B.V. (Netherlands)
- Cercare Medical (Denmark)
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2024 (Value) | USD 0.22 Billion |
| Market Forecast in 2030 (Value) | USD 1.60 Billion |
| Growth Rate | CAGR of 38.4% from 2025–2030 |
| Years Considered | 2023–2030 |
| Base Year | 2024 |
| Forecast Period | 2025–2030 |
| Units Considered | Value (USD Million/Billion) |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
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| Region Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
WHAT IS IN IT FOR YOU: STROKE AI MARKET REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Local Competitive Landscape | Analysis of key stroke AI vendors by imaging focus, AI capabilities, regulatory status, and deployment models | Enables vendor benchmarking, partner selection, and positioning |
| Regional Market Entry Strategy | Assessment of stroke burden, regulations, reimbursement, and digital readiness by region | Supports faster market entry and go-to-market alignment |
| Local Risk & Opportunity Assessment | Evaluation of regulatory, clinical, and infrastructure risks with identification of high-growth use cases | Guides investment decisions and risk mitigation |
| Technology Adoption by Region | Mapping adoption of AI-based stroke imaging and telestroke workflows across regions | Informs scalable technology and growth strategy |
RECENT DEVELOPMENTS
- June 2025 : Brainomix and 3DR Labs announced a strategic partnership to support acute stroke care in the US through the clinically validated and FDA-cleared Brainomix 360 Stroke.
- February 2025 : Brainomix entered a strategic collaboration with Medtronic Neurovascular to enhance stroke care across Western Europe by integrating its AI-driven Brainomix 360 Stroke imaging platform.
- December 2024 : UK St. Claire HealthCare partnered with Viz.ai to use AI-driven stroke detection and care coordination tools to speed up identification and treatment of suspected large vessel occlusion (LVO) strokes across its health system.
Table of Contents
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Methodology
The study involved significant activities in estimating the current size of the Stroke AI Market market. Exhaustive secondary research was done to collect information on the Stroke AI Market market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the Stroke AI Market market.
Secondary Research
This research study involved the wide use of secondary sources, directories, and databases such as Dun & Bradstreet, Bloomberg Businessweek, and Factiva; white papers, annual reports, and companies’ house documents; investor presentations; and the SEC filings of companies. The market for the companies offering Stroke AI Market solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.
Various secondary sources were referred to in the secondary research process to identify and collect information related to the study. These sources included annual reports, press releases, investor presentations of Stroke AI Market vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.
Primary Research
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. Primary sources are mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, technology developers, researchers, and organizations related to all segments of this industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts (SMEs), C-level executives of key market players, and industry consultants, among other experts, to obtain and verify the critical qualitative and quantitative information as well as assess prospects.
Primary research was conducted to identify segmentation types, industry trends, key players, and key market dynamics such as drivers, restraints, opportunities, challenges, industry trends, and strategies adopted by key players.
After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at.
In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.
Market Size Estimation
The market size estimates and forecasts provided in this study are derived through a mix of the bottom-up approach (revenue share analysis of leading players) and top-down approach (assessment of utilization/adoption/penetration trends by offering, function, application, deployment, tool, end user, and region).
Data Triangulation
After arriving at the overall market size—using the market size estimation processes—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and sub-segment, data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides in the Stroke AI Market market.
Market Definition
Stroke AI Market market encompasses the application of artificial intelligence technologies, such as machine learning, natural language processing, computer vision, and robotics, to improve healthcare delivery, enhance operational efficiencies, and provide personalized care. These solutions address a wide range of use cases, including diagnostic imaging, predictive analytics, drug discovery, patient engagement, remote monitoring, and administrative workflows, enabling healthcare providers, payers, and pharmaceutical companies to drive innovation and improve outcomes.
Stakeholders
- AI in healthcare software vendors
- AI in healthcare service providers
- Independent software vendors (ISVs)
- Platform providers
- Technology providers
- System integrators
- Cloud service providers
- Healthcare IT service providers
- Hospitals and surgical centers
- Diagnostic imaging centers
- Academic institutes and research laboratories
- Forums, alliances, and associations
- Government organizations
- Institutional investors and investment banks
- Investors/Shareholders
- Venture capitalists
- Research and consulting firms
Report Objectives
- To define, describe, and forecast the global Stroke AI Market market based on offering, function, application, deployment, tools, end user, and region
- To provide detailed information regarding the factors influencing the growth of the market (such as the drivers, restraints, opportunities, and challenges)
- To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall Stroke AI Market market
- To analyze market opportunities for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of the Stroke AI Market market in five main regions (along with their respective key countries): North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa
- To profile key players and comprehensively analyze their product portfolios, market positions, and core competencies in the market
- To track and analyze competitive developments such as product & service launches, expansions, partnerships, agreements, and collaborations; and acquisitions in the Stroke AI Market market
- To benchmark players within the Stroke AI Market market using the Company Evaluation Matrix framework, which analyzes market players on various parameters within the broad categories of business strategy, market share, and product offering.
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Growth opportunities and latent adjacency in Stroke AI Market