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商品編碼
1525346

全球邊緣運算醫療保健市場規模研究（按產品、應用、最終用戶和 2022-2032 年區域預測）

Global Edge Computing in Healthcare Market Size Study, by Offering, by Application, by End User, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，醫療保健市場的全球邊緣運算價值約為 52.9 億美元，預計在 2024 年至 2032 年的預測期內將以 26.38% 的複合年成長率強勁成長。醫療保健領域的邊緣運算透過處理來自物聯網 (IoT) 設備的資料來實現資產追蹤、環境監測和設備維護等各種應用，從而徹底改變了資料管理。這項創新透過管理電子健康記錄 (EHR) 來最佳化醫院效率，最大限度地減少停機時間，並顯著提高病患安全性，使醫生能夠安全、及時地存取病患資料。這種整合簡化了醫療保健工作流程，改善了患者護理以及診斷和治療計劃的準確性。

醫療保健市場的全球邊緣運算是由慢性病激增推動的，因此需要有效的遠端患者監測解決方案。邊緣運算透過有效處理和傳輸來自穿戴式裝置和醫療感測器的資料來滿足此需求，從而使醫療保健專業人員能夠更有效地管理慢性病。此外，旨在醫療保健數位化、遠距醫療擴展和電子病歷採用的政府舉措和資金正在增強對邊緣運算基礎設施的需求。這些措施致力於實現醫療保健服務現代化，提高護理的可近性和品質。此外，邊緣運算與人工智慧和機器學習的整合預計將為市場創造利潤豐厚的機會。然而，高昂的初始成本和資料安全問題將阻礙 2024-2032 年預測期內市場的整體需求。

全球邊緣運算醫療保健市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023 年，亞太地區預計將在預測期內大幅成長。邊緣運算透過實現即時資料處理以實現對患者的持續遠端監控，正在改變該地區以患者為中心的醫療保健。這有助於醫療保健提供者提供更個人化的護理計劃，確保及時介入並改善患者的治療結果。亞太地區的遠距醫療格局正在擴大，邊緣運算發揮關鍵作用。透過實現無縫視訊諮詢、遠端診斷和安全資料傳輸，邊緣運算正在增強醫療保健的可及性，特別是在偏遠和服務不足的地區。此外，它還可以快速分析和傳輸來自 X 光、MRI 和 CT 掃描等診斷設備的大型影像文件，從而實現快速、準確的診斷和治療。此外，由於先進的醫療基礎設施和技術採用，北美市場成為最大的地區。

目錄

第 1 章：醫療保健市場中的全球邊緣運算執行摘要

  • 全球邊緣運算醫療保健市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 透過提供
    • 按申請
    • 按最終用戶
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：醫療保健市場中的全球邊緣運算定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：醫療保健市場動態中的全球邊緣運算

  • 市場促進因素
    • 慢性病盛行率增加
    • 政府的醫療保健數位化舉措
    • 物聯網和穿戴式裝置的進步
  • 市場挑戰
    • 資料安全問題
    • 初始成本高
  • 市場機會
    • 新興市場的擴張
    • 與人工智慧和機器學習整合

第 4 章：醫療保健市場中的全球邊緣運算產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：醫療保健市場規模和預測的全球邊緣運算：按產品分類 - 2022-2032

  • 細分儀表板
  • 醫療保健市場的全球邊緣運算：提供 2022 年和 2032 年收入趨勢分析
    • 硬體
    • 軟體
    • 服務

第 6 章：醫療保健市場規模和預測的全球邊緣運算：按應用分類 - 2022-2032

  • 細分儀表板
  • 醫療保健市場的全球邊緣運算：2022 年和 2032 年應用收入趨勢分析
    • 機器人手術
    • 診斷
    • 遠端患者監控和遠距醫療
    • 其他

第 7 章：醫療保健市場規模和預測的全球邊緣運算：按最終用戶 - 2022-2032

  • 細分儀表板
  • 醫療保健市場的全球邊緣運算：2022 年和 2032 年最終用戶收入趨勢分析
    • 醫院和診所
    • 門診中心
    • 療養院和家庭護理
    • 其他

第 8 章：醫療保健市場規模和預測的全球邊緣計算：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Advantech
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Amazon Web Services (AWS)
    • Aruba Networks
    • Cisco Systems, Inc.
    • Dell Technologies, Inc.
    • General Electric Company
    • Google LLC
    • Hewlett Packard Enterprise Company
    • IBM
    • Intel Corporation
    • Microsoft Corporation
    • Nokia Corporation
    • NVIDIA Corporation
    • Philips Healthcare
    • Siemens Healthineers

第 10 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Edge Computing in Healthcare Market was valued at approximately USD 5.29 billion in 2023 and is projected to grow at a robust CAGR of 26.38% over the forecast period 2024-2032. Edge computing in healthcare revolutionizes data management by processing data from Internet of Things (IoT) devices for various applications such as asset tracking, environmental monitoring, and equipment maintenance. This innovation optimizes hospital efficiency, minimizes downtime, and significantly enhances patient safety by managing electronic health records (EHRs), allowing physicians to access patient data securely and promptly. Such integration streamlines healthcare workflows, improving patient care and the accuracy of diagnoses and treatment plans.

The Global Edge Computing in Healthcare Market is driven by surge in chronic diseases necessitates effective remote patient monitoring solutions. Edge computing meets this demand by efficiently handling and transmitting data from wearable devices and medical sensors, thereby empowering healthcare professionals to manage chronic conditions more effectively. Furthermore, government initiatives and funding aimed at healthcare digitization, telehealth expansion, and the adoption of EHRs are bolstering the need for edge computing infrastructure. These initiatives strive to modernize healthcare delivery, enhancing accessibility and the quality of care. Moreover, integration of edge computing with ai and machine learning are anticipated to create lucrative opportunities for the market. However, high initial cost and data security concerns is going to impede the overall demand for the market during the forecast period 2024-2032.

The key regions considered for the Global Edge Computing in Healthcare Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, Asia-Pacific is anticipated to witness substantial growth during the forecast period. Edge computing is transforming patient-centric healthcare in this region by enabling real-time data processing for continuous remote monitoring of patients. This facilitates healthcare providers in delivering more personalized care plans, ensuring timely interventions and improved patient outcomes. The telemedicine landscape in Asia-Pacific is expanding, with edge computing playing a pivotal role. By enabling seamless video consultations, remote diagnostics, and secure data transmission, edge computing is enhancing healthcare accessibility, particularly in remote and underserved areas. Additionally, it allows rapid analysis and transfer of large image files from diagnostic devices such as X-rays, MRIs, and CT scans, leading to swift and accurate diagnoses and treatments. Furthermore, the market in North America emerged as the largest region owing to advanced healthcare infrastructure and technological adoption.

Major market players included in this report are:

  • Advantech
  • Amazon Web Services (AWS)
  • Aruba Networks
  • Cisco Systems, Inc.
  • Dell Technologies, Inc.
  • General Electric Company
  • Google LLC
  • Hewlett Packard Enterprise Company
  • IBM
  • Intel Corporation
  • Microsoft Corporation
  • Nokia Corporation
  • NVIDIA Corporation
  • Philips Healthcare
  • Siemens Healthineers

The detailed segments and sub-segment of the market are explained below:

By Offering:

  • Hardware
  • Software
  • Services

By Application:

  • Robotic Surgery
  • Diagnostics
  • Remote Patient Monitoring and Telehealth
  • Others

By End User:

  • Hospitals and Clinics
  • Ambulatory Centers
  • Nursing Homes and Home Care
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Edge Computing in Healthcare Market Executive Summary

  • 1.1. Global Edge Computing in Healthcare Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
    • 1.3.2. By Application
    • 1.3.3. By End User
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Edge Computing in Healthcare Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Edge Computing in Healthcare Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Prevalence of Chronic Diseases
    • 3.1.2. Government Initiatives for Healthcare Digitization
    • 3.1.3. Advancements in IoT and Wearable Devices
  • 3.2. Market Challenges
    • 3.2.1. Data Security Concerns
    • 3.2.2. High Initial Costs
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in Emerging Markets
    • 3.3.2. Integration with AI and Machine Learning

Chapter 4. Global Edge Computing in Healthcare Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Edge Computing in Healthcare Market Size & Forecasts by Offering 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Edge Computing in Healthcare Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Hardware
    • 5.2.2. Software
    • 5.2.3. Services

Chapter 6. Global Edge Computing in Healthcare Market Size & Forecasts by Application 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Edge Computing in Healthcare Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Robotic Surgery
    • 6.2.2. Diagnostics
    • 6.2.3. Remote Patient Monitoring and Telehealth
    • 6.2.4. Others

Chapter 7. Global Edge Computing in Healthcare Market Size & Forecasts by End User 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Edge Computing in Healthcare Market: End User Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Hospitals and Clinics
    • 7.2.2. Ambulatory Centers
    • 7.2.3. Nursing Homes and Home Care
    • 7.2.4. Others

Chapter 8. Global Edge Computing in Healthcare Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Edge Computing in Healthcare Market
    • 8.1.1. U.S. Edge Computing in Healthcare Market
      • 8.1.1.1. Offering breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Application breakdown size & forecasts, 2022-2032
      • 8.1.1.3. End User breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Edge Computing in Healthcare Market
  • 8.2. Europe Edge Computing in Healthcare Market
    • 8.2.1. U.K. Edge Computing in Healthcare Market
    • 8.2.2. Germany Edge Computing in Healthcare Market
    • 8.2.3. France Edge Computing in Healthcare Market
    • 8.2.4. Spain Edge Computing in Healthcare Market
    • 8.2.5. Italy Edge Computing in Healthcare Market
    • 8.2.6. Rest of Europe Edge Computing in Healthcare Market
  • 8.3. Asia-Pacific Edge Computing in Healthcare Market
    • 8.3.1. China Edge Computing in Healthcare Market
    • 8.3.2. India Edge Computing in Healthcare Market
    • 8.3.3. Japan Edge Computing in Healthcare Market
    • 8.3.4. Australia Edge Computing in Healthcare Market
    • 8.3.5. South Korea Edge Computing in Healthcare Market
    • 8.3.6. Rest of Asia Pacific Edge Computing in Healthcare Market
  • 8.4. Latin America Edge Computing in Healthcare Market
    • 8.4.1. Brazil Edge Computing in Healthcare Market
    • 8.4.2. Mexico Edge Computing in Healthcare Market
    • 8.4.3. Rest of Latin America Edge Computing in Healthcare Market
  • 8.5. Middle East & Africa Edge Computing in Healthcare Market
    • 8.5.1. Saudi Arabia Edge Computing in Healthcare Market
    • 8.5.2. South Africa Edge Computing in Healthcare Market
    • 8.5.3. Rest of Middle East & Africa Edge Computing in Healthcare Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Advantech
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Amazon Web Services (AWS)
    • 9.3.3. Aruba Networks
    • 9.3.4. Cisco Systems, Inc.
    • 9.3.5. Dell Technologies, Inc.
    • 9.3.6. General Electric Company
    • 9.3.7. Google LLC
    • 9.3.8. Hewlett Packard Enterprise Company
    • 9.3.9. IBM
    • 9.3.10. Intel Corporation
    • 9.3.11. Microsoft Corporation
    • 9.3.12. Nokia Corporation
    • 9.3.13. NVIDIA Corporation
    • 9.3.14. Philips Healthcare
    • 9.3.15. Siemens Healthineers

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes