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市場調查報告書
商品編碼
2130495

2026-2034年全球人工智慧市場規模、佔有率、趨勢和成長分析報告(中風分診)

Global AI in Stroke Triage Market Size, Share, Trends & Growth Analysis Report 2026-2034

出版日期: | 出版商: Value Market Research | 英文 269 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球中風分診人工智慧市場預計將從2025年的6.1924億美元成長至2034年的74.981億美元,2026年至2034年的複合年成長率(CAGR)將達到31.93%。隨著醫療機構採用人工智慧(AI)工具來加速疑似中風病例的識別和優先排序,該市場正在不斷擴張。人工智慧系統可以分析醫學影像和臨床訊息,識別與主要血管閉塞和其他中風症狀相關的模式。快速識別使臨床團隊能夠優先安排專家會診和必要的干預措施。尤其值得注意的是,醫院為改善急診醫療流程所做的努力,這些醫院需要處理大量時間緊迫的神經系統疾病病例,這極大地推動了市場需求。

人工智慧驅動的中風分流平台可透過提供自動警報和影像分析輔助,為放射科醫生、神經科醫生和急診團隊提供支援。與醫院影像系統和通訊平台的整合,可將相關觀察傳輸給相應的臨床團隊。這項技術在需要急診、影像科和中風專家之間快速協作的情況下尤其有用。然而,臨床有效性、監管檢驗、互通性以及適當的人工監督仍然是影響這些系統實施及其在診療路徑中實際應用的關鍵因素。

未來前景取決於持續的臨床證據、與醫療保健系統的整合以及演算法性能的提升。人工智慧工具可能會擴大將影像分析和臨床資訊結合,以支援更廣泛的卒中診療流程。醫院將根據工作流程效率、可靠性、整合能力和臨床效用等方面的證據來評估解決方案。將應用範圍擴展到其他神經系統疾病也可能拓寬這項技術的應用領域。隨著數位影像基礎設施的完善,人工智慧驅動的分診將成為急診神經病學中日益重要的組成部分。

我們的報告經過精心撰寫,旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分,旨在幫助您全面了解市場環境:

市場概覽:本節提供清晰的市場概覽,包括關鍵定義、分類和當前產業格局。

市場動態:對影響市場成長的主要促進因素、阻礙因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析:本部分依據產品類型、應用、最終使用者和地區,將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局:我們對主要市場參與企業進行了詳細評估,包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測:本部分是基於對指定預測期內市場規模和成長模式的數據進行展望。它結合了歷史趨勢、當前市場狀況和定量分析,揭示了預期的未來趨勢。

區域分析:這包括對主要地理區域的市場趨勢進行全面檢驗,確定高成長領域和區域趨勢,以更深入地了解每個區域特有的市場機會。

新趨勢與新機會:識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項:我們提供靈活的客製化服務,可以根據您的具體需求自訂報告。這包括額外的細分、特定國家/地區的分析、競爭對手分析、客製化資料點,或專注於特定細分市場的洞察,以更好地支持您的策略決策。

目錄

第1章:引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章:全球中風分診中的人工智慧市場:按組件分類

  • 市場分析、洞察與預測
  • 軟體/平台
  • 服務

第5章:全球中風分診中的人工智慧市場:以部署方式分類

  • 市場分析、洞察與預測
  • 基於雲端的
  • 現場
  • 混合

第6章:全球中風分診領域的人工智慧市場:依技術分類

  • 市場分析、洞察與預測
  • 電腦視覺
  • 機器學習和深度學習
  • 其他

第7章:全球中風分診中的人工智慧市場:按模式分類

  • 市場分析、洞察與預測
  • CT/CTA
  • CT灌注
  • MRI
  • 多重模式
  • 其他

第8章:全球人工智慧在中風分診領域的市場:按應用分類

  • 市場分析、洞察與預測
  • 檢測主要血管閉塞
  • 顱內出血的檢測
  • 灌注/缺血核心評估
  • 案例優先排序和警報功能
  • 護理團隊之間的溝通與協作
  • 支援醫院轉診/中心輻射式工作流程
  • 其他

第9章:全球中風分診中的人工智慧市場:按最終用戶分類

  • 市場分析、洞察與預測
  • 醫院及中風中心
  • 急診室
  • 放射科組
  • 遠端中風網路
  • 其他

第10章:全球中風分診人工智慧市場:按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第11章 競爭格局

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴(根據現有資訊)
  • 市場佔有率和市場定位分析(基於現有資訊)
  • 供應商情況(基於現有資訊)
  • 策略規劃

第12章:公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Viz.ai Inc
    • RapidAI
    • Brainomix Limited
    • Aidoc
    • AZmed AI
    • Qure.ai
    • Nicolab BV
    • Cercare Medical A/S
    • Methinks Software SL
    • JLK Inc
    • GE HealthCare
    • Siemens Healthineers
    • Philips Healthcare
    • Canon Medical Systems Corporation
    • FUJIFILM Healthcare
    • Icometrix
    • Olea Medical
    • Medtronic Neurovascular
簡介目錄
Product Code: VMR112119363

The global AI in stroke triage market size is expected to reach USD 7498.10 Million in 2034 from USD 619.24 Million in 2025, growing at a CAGR of 31.93% during 2026-2034.This market is emerging as healthcare organizations adopt artificial intelligence tools to accelerate the identification and prioritization of suspected stroke cases. AI-enabled systems can analyze medical imaging and clinical information to identify patterns associated with conditions such as large-vessel occlusion and other stroke presentations. Faster identification can support clinical teams in prioritizing cases for specialist review and potential intervention. Demand is being encouraged by efforts to improve emergency-care workflows, particularly in hospitals managing high volumes of time-sensitive neurological cases.

AI-based stroke triage platforms can assist radiologists, neurologists, and emergency teams by providing automated alerts and image-analysis support. Integration with hospital imaging systems and communication platforms can help transmit relevant findings to appropriate clinical teams. The technology is particularly relevant where rapid coordination between emergency departments, imaging services, and stroke specialists is required. However, clinical validation, regulatory clearance, interoperability, and appropriate human oversight remain important factors influencing adoption and the practical integration of these systems into care pathways.

Future prospects will depend on continued clinical evidence, healthcare-system integration, and improvements in algorithm performance. AI tools may increasingly combine imaging analysis with clinical information to support broader stroke-care workflows. Hospitals are likely to evaluate solutions based on workflow efficiency, reliability, integration capabilities, and evidence of clinical utility. Expansion into additional neurological conditions could also broaden the technology's application. As digital imaging infrastructure improves, AI-supported triage may become an increasingly integrated component of emergency neurological care.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

  • Software/Platforms
  • Services

By Deployment

  • Cloud-Based
  • On-Premises
  • Hybrid

By Technology

  • Computer Vision
  • Machine Learning & Deep Learning
  • Others

By Modality

  • CT/CTA
  • CT Perfusion
  • MRI
  • Multi-Modality
  • Others

By Application

  • Large Vessel Occlusion Detection
  • Intracranial Hemorrhage Detection
  • Perfusion/Ischemic Core Assessment
  • Case Prioritization & Alerting
  • Care Team Communication & Coordination
  • Transfer/Hub-and-Spoke Workflow Support
  • Others

By End User

  • Hospitals & Stroke Centers
  • Emergency Departments
  • Radiology Groups
  • Tele-Stroke Networks
  • Others

COMPANIES PROFILED

  • Viz.ai Inc., RapidAI, Brainomix Limited, Aidoc, AZmed AI, Qure.ai, Nicolab B.V., Cercare Medical A/S, Methinks Software S.L., JLK Inc., GE HealthCare, Siemens Healthineers, Philips Healthcare, Canon Medical Systems Corporation, FUJIFILM Healthcare, icometrix, Olea Medical, Medtronic Neurovascular

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN STROKE TRIAGE MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software/Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN STROKE TRIAGE MARKET: BY DEPLOYMENT 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Deployment
  • 5.2. Cloud-Based Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN STROKE TRIAGE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Technology
  • 6.2. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Machine Learning & Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN STROKE TRIAGE MARKET: BY MODALITY 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Modality
  • 7.2. CT/CTA Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. CT Perfusion Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. MRI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Multi-Modality Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN STROKE TRIAGE MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast Application
  • 8.2. Large Vessel Occlusion Detection Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Intracranial Hemorrhage Detection Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Perfusion/Ischemic Core Assessment Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.5. Case Prioritization & Alerting Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.6. Care Team Communication & Coordination Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.7. Transfer/Hub-and-Spoke Workflow Support Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN STROKE TRIAGE MARKET: BY END USER 2022-2034 (USD MN)

  • 9.1. Market Analysis, Insights and Forecast End User
  • 9.2. Hospitals & Stroke Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.3. Emergency Departments Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.4. Radiology Groups Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.5. Tele-Stroke Networks Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 9.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL AI IN STROKE TRIAGE MARKET: BY REGION 2022-2034 (USD MN)

  • 10.1. Regional Outlook
  • 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.2.1 By Component
    • 10.2.2 By Deployment
    • 10.2.3 By Technology
    • 10.2.4 By Modality
    • 10.2.5 By Application
    • 10.2.6 By End User
    • 10.2.7 United States
    • 10.2.8 Canada
    • 10.2.9 Mexico
  • 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.3.1 By Component
    • 10.3.2 By Deployment
    • 10.3.3 By Technology
    • 10.3.4 By Modality
    • 10.3.5 By Application
    • 10.3.6 By End User
    • 10.3.7 United Kingdom
    • 10.3.8 France
    • 10.3.9 Germany
    • 10.3.10 Italy
    • 10.3.11 Spain
    • 10.3.12 Russia
    • 10.3.13 Rest Of Europe
  • 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.4.1 By Component
    • 10.4.2 By Deployment
    • 10.4.3 By Technology
    • 10.4.4 By Modality
    • 10.4.5 By Application
    • 10.4.6 By End User
    • 10.4.7 China
    • 10.4.8 Japan
    • 10.4.9 South Korea
    • 10.4.10 India
    • 10.4.11 Australia
    • 10.4.12 South East Asia
    • 10.4.13 Rest Of Asia Pacific
  • 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.5.1 By Component
    • 10.5.2 By Deployment
    • 10.5.3 By Technology
    • 10.5.4 By Modality
    • 10.5.5 By Application
    • 10.5.6 By End User
    • 10.5.7 Brazil
    • 10.5.8 Argentina
    • 10.5.9 Peru
    • 10.5.10 Chile
    • 10.5.11 Rest of Latin America
  • 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 10.6.1 By Component
    • 10.6.2 By Deployment
    • 10.6.3 By Technology
    • 10.6.4 By Modality
    • 10.6.5 By Application
    • 10.6.6 By End User
    • 10.6.7 Saudi Arabia
    • 10.6.8 UAE
    • 10.6.9 Israel
    • 10.6.10 South Africa
    • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

  • 11.1. Recent Developments
  • 11.2. Company Categorization
  • 11.3. Supply Chain & Channel Partners (based on availability)
  • 11.4. Market Share & Positioning Analysis (based on availability)
  • 11.5. Vendor Landscape (based on availability)
  • 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL AI IN STROKE TRIAGE INDUSTRY

  • 12.1. Top Companies Market Share Analysis
  • 12.2. Company Profiles
    • 12.2.1 Viz.ai Inc
    • 12.2.2 RapidAI
    • 12.2.3 Brainomix Limited
    • 12.2.4 Aidoc
    • 12.2.5 AZmed AI
    • 12.2.6 Qure.ai
    • 12.2.7 Nicolab B.V
    • 12.2.8 Cercare Medical A/S
    • 12.2.9 Methinks Software S.L
    • 12.2.10 JLK Inc
    • 12.2.11 GE HealthCare
    • 12.2.12 Siemens Healthineers
    • 12.2.13 Philips Healthcare
    • 12.2.14 Canon Medical Systems Corporation
    • 12.2.15 FUJIFILM Healthcare
    • 12.2.16 Icometrix
    • 12.2.17 Olea Medical
    • 12.2.18 Medtronic Neurovascular