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市場調查報告書
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1528978

中風後處理軟體市場- 按安裝(桌上型電腦、手機和平板電腦)、模式(CT、MRI)、類型(缺血性中風、出血性中風)、最終用途(醫院和診所、專科中心) - 全球預測(2024年 -第2032章

Stroke Post Processing Software Market - By Installation (Desktop, Mobile Phones & Tablets), Modality (CT, MRI), Type (Ischemic Stroke, Hemorrhagic Stroke), End-use (Hospitals & Clinics, Specialty Centers) - Global Forecast (2024 - 2032)

出版日期: | 出版商: Global Market Insights Inc. | 英文 140 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於整合人工智慧和機器學習技術的合作夥伴關係不斷增加,2024 年至 2032 年全球中風後處理軟體市場規模將以 8.4% 的複合年成長率成長。透過利用人工智慧演算法更準確、更有效率地分析醫學影像資料,合作有助於增強軟體功能。

透過不斷整合先進技術,開發人員正在提高中風患者的診斷準確性和治療計劃。這項持續創新透過提供基於精確醫學影像分析的更個人化和有效的治療解決方案,進一步改變中風護理。例如,2022 年 11 月,Visionable 和 Brainomix 宣佈建立策略合作夥伴關係,以加強中風護理服務。此次合作將 Visionable 的虛擬醫療保健平台與 Brainomix 的 e-Stroke AI 軟體結合,以最佳化中風後處理軟體,從而改善從急性前期到院內階段的照護。

市場分為安裝、模式、類型、最終用途和區域。

在安裝方面,在醫學影像資料的遠端存取和即時分析的推動下,中風後處理軟體產業的手機和平板電腦領域預計到 2032 年將顯著成長。醫生和專家正在利用行動裝置及時查看和解釋掃描結果,以提高診斷效率和患者護理。此外,開發人員正在整合更複雜的應用程式和介面,以利用人工智慧和機器學習進行快速、準確的分析。

按最終用途分類,專業中心領域的中風後處理軟體市場預計將從 2024 年到 2032 年成長。他們還利用專門的軟體來簡化診斷工作流程並改善中風患者的治療計劃。人們越來越關注創新中風護理和完善軟體功能,以整合更全面的資料分析和預測模型以實現個人化治療策略,這將有利於細分市場的成長。

從地區來看,在監管支持和鼓勵採用先進醫療技術的指導方針的推動下,亞太地區中風後處理軟體產業規模預計將在 2024 年至 2032 年間出現強勁成長。這些法規正在促進複雜軟體解決方案的整合,以實現更準確的診斷和治療計劃。此外,不斷成長的老齡化人口正在推動對改進的醫療保健解決方案(包括先進成像技術)的需求,從而促進了區域市場的成長。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 產業影響力
    • 成長動力
      • 全球中風盛行率不斷上升
      • 中風後處理軟體的進步
      • 人工智慧和機器學習的日益普及
    • 產業陷阱與挑戰
      • 軟體成本高
      • 訪問和培訓有限
  • 成長潛力分析
  • 技術景觀
  • 監管環境
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按安裝情況分類,2021 - 2032 年

  • 主要趨勢
  • 桌面
  • 手機和平板電腦

第 6 章:市場估計與預測:按模式,2021 - 2032 年

  • 主要趨勢
  • CT掃描
  • 核磁共振成像

第 7 章:市場估計與預測:按類型,2021 - 2032

  • 主要趨勢
  • 缺血性中風
  • 出血性中風
  • 其他類型

第 8 章:市場估計與預測:按最終用途,2021 - 2032 年

  • 主要趨勢
  • 醫院和診所
  • 專科中心
  • 其他最終用戶

第 9 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 荷蘭
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 中東和非洲其他地區

第 10 章:公司簡介

  • Agfa-Gevaert NV
  • Aidoc
  • Avicenna.AI
  • Brainomix
  • Canon Inc.
  • F. Hoffmann-La Roche Ltd.
  • GE HealthCare Technologies Inc.
  • icometrix
  • Koninklijke Philips N.V.
  • Nicolab B.V.
  • RapidAI
  • Siemens Healthineers AG
  • Subtle Medical, Inc.
  • SymphonyAI
  • Viz.ai, Inc.
簡介目錄
Product Code: 9428

Global Stroke Post Processing Software Market size will expand at 8.4% CAGR from 2024 to 2032, due to rising partnerships for integrating AI and machine learning technologies. Collaborations are helping to enhance software capabilities by leveraging AI algorithms to analyze medical imaging data more accurately and efficiently.

By continuously integrating advanced technologies, developers are improving diagnostic accuracy and treatment planning for stroke patients. This ongoing innovation is further transforming stroke care by providing more personalized and effective treatment solutions based on precise medical imaging analysis. For instance, in November 2022, Visionable and Brainomix announced a strategic partnership for enhancing stroke care delivery. This collaboration integrated Visionable's virtual healthcare platform with Brainomix's e-Stroke AI software to optimize the stroke post-processing software for improving care from pre-acute to intra-hospital stages.

The market is segregated into installation, modality, type, end-use, and region.

In terms of installation, the mobile phones & tablets segment in the stroke post processing software industry is set to experience growth at a significant rate through 2032 propelled by the remote access and real-time analysis of medical imaging data. Physicians and specialists are utilizing mobile devices to view and interpret scans promptly to enhance diagnostic efficiency and patient care. Additionally, developers are integrating more sophisticated applications and interfaces for leveraging AI and machine learning for rapid and accurate analysis.

By end-use, the stroke post processing software market from the specialty centers segment is projected to rise from 2024 to 2032. These centers are enhancing stroke post-processing software by integrating advanced technologies for precise medical imaging analysis. They are also leveraging specialized software to streamline diagnostic workflows and improve treatment planning for stroke patients. A rising focus on innovating stroke care and refining software capabilities to integrate more comprehensive data analytics and predictive modeling for personalized treatment strategies will favor segment growth.

Regionally, the Asia Pacific stroke post processing software industry size is projected to depict robust growth between 2024 and 2032, driven by regulatory support and guidelines to encourage the adoption of advanced medical technologies. These regulations are facilitating the integration of sophisticated software solutions for more accurate diagnosis and treatment planning. Additionally, the growing aging population is driving the demand for improved healthcare solutions including advanced imaging technologies, adding to the regional market growth.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates & calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Increasing prevalence of stroke globally
      • 3.2.1.2 Advancements in stroke post processing software
      • 3.2.1.3 Growing adoption of AI and machine learning
    • 3.2.2 Industry pitfalls & challenges
      • 3.2.2.1 High cost of software
      • 3.2.2.2 Limited accessibility and training
  • 3.3 Growth potential analysis
  • 3.4 Technological landscape
  • 3.5 Regulatory landscape
  • 3.6 Porter's analysis
  • 3.7 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategy outlook matrix

Chapter 5 Market Estimates and Forecast, By Installation, 2021 - 2032 ($ Mn)

  • 5.1 Key trends
  • 5.2 Desktop
  • 5.3 Mobile phones & tablets

Chapter 6 Market Estimates and Forecast, By Modality, 2021 - 2032 ($ Mn)

  • 6.1 Key trends
  • 6.2 CT scan
  • 6.3 MRI

Chapter 7 Market Estimates and Forecast, By Type, 2021 - 2032 ($ Mn)

  • 7.1 Key trends
  • 7.2 Ischemic stroke
  • 7.3 Hemorrhagic stroke
  • 7.4 Other types

Chapter 8 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)

  • 8.1 Key trends
  • 8.2 Hospitals & clinics
  • 8.3 Specialty centers
  • 8.4 Other end-users

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Spain
    • 9.3.5 Italy
    • 9.3.6 Netherlands
    • 9.3.7 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 Japan
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
    • 9.5.4 Rest of Latin America
  • 9.6 Middle East and Africa
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE
    • 9.6.4 Rest of Middle East and Africa

Chapter 10 Company Profiles

  • 10.1 Agfa-Gevaert NV
  • 10.2 Aidoc
  • 10.3 Avicenna.AI
  • 10.4 Brainomix
  • 10.5 Canon Inc.
  • 10.6 F. Hoffmann-La Roche Ltd.
  • 10.7 GE HealthCare Technologies Inc.
  • 10.8 icometrix
  • 10.9 Koninklijke Philips N.V.
  • 10.10 Nicolab B.V.
  • 10.11 RapidAI
  • 10.12 Siemens Healthineers AG
  • 10.13 Subtle Medical, Inc.
  • 10.14 SymphonyAI
  • 10.15 Viz.ai, Inc.