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市場調查報告書
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1473758

醫療保健規範分析市場 - 按組件(軟體、服務)、部署模型(本地、基於雲端)、應用程式(臨床管理、財務管理、營運管理)、最終用途(醫院)、全球預測,2024 - 2032 年

Healthcare Prescriptive Analytics Market - By Component (Software, Services), Deployment Model (On-premises, Cloud-based), Application (Clinical Management, Financial Management, Operation Management), End-use (Hospitals), Global Forecast, 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在對基於價值的護理模式和患者結果以及人工智慧和機器學習技術進步的日益重視的推動下,全球醫療保健規範分析市場規模在 2024 年至 2032 年期間將以 15.5% 的複合年成長率成長。

將規範性分析整合到人口健康管理計劃中是市場的強大成長動力。隨著全球醫療保健系統優先考慮採取主動方法來滿足全體人口的健康需求,對規範性分析解決方案的需求正在增加。此外,各國政府也熱衷於更有效地應對醫療保健挑戰。例如,世界衛生組織發現,初級衛生保健 (PHC) 方法對於全民健康覆蓋至關重要,90% 的基本干預措施可以透過該策略實現。

此外,永續發展目標中 75% 的預計健康收益可以透過優先考慮初級衛生保健來實現。透過利用複雜的分析演算法,規範性分析使醫療保健提供者能夠深入研究人口資料,以無與倫比的準確性識別高危險群和醫療保健趨勢。這種能力使利害關係人能夠實施有針對性的預防干涉措施和健康計劃,最終改善整個社區的健康結果。

醫療保健規範分析市場根據組件、部署模型、應用程式、最終用途和區域進行分類。

隨著醫療保健規範分析服務幫助醫療保健組織制定與其業務目標和監管要求相符的有效分析策略,服務組件細分市場將在 2024 年至 2032 年間大幅成長。這涉及規範分析解決方案的部署和客製化,以滿足特定的醫療保健提供者的需求。此外,服務還包括確保熟練使用分析工具的培訓以及對分析系統平穩運作的持續支援。

到 2032 年,本地解決方案領域的醫療保健規範分析市場佔有率將迅速擴大,因為它們為醫療保健組織提供了對其資料和分析基礎設施的更大控制,解決了對資料安全性和合規性的擔憂。它還可以與現有 IT 系統和基礎設施整合,最大限度地減少對臨床工作流程的干擾。此外,它們還為醫療保健提供者提供根據其特定要求靈活客製化和客製化分析平台的能力。

在快速城市化、人口老化和醫療支出增加的推動下,亞太地區醫療保健規範分析市場將在 2032 年之前實現可觀成長。此外,政府和監管機構正在積極推動醫療保健系統的數位化和先進分析技術的採用,以改善醫療保健服務和病患治療效果。中國、印度和日本等國家正在醫療保健 IT 基礎設施和分析能力方面進行大量投資,進一步推動市場成長。

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
      • 慢性病負擔日益加重
      • 巨量資料在醫療保健領域的整合
      • 對改善患者治療效果和營運效率的需求不斷成長
      • 越來越關注個人化和數據驅動的方法
    • 產業陷阱與挑戰
      • 資料安全和隱私問題
      • 缺乏熟練的專業人員
  • 成長潛力分析
  • 監管環境
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 主要市場參與者的競爭分析
  • 競爭定位矩陣
  • 戰略儀表板

第 5 章:市場估計與預測:按組成部分,2018 年 - 2032 年

  • 主要趨勢
  • 軟體
  • 服務

第 6 章:市場估計與預測:按部署模型,2018 年 - 2032 年

  • 主要趨勢
  • 本地部署
  • 基於雲端

第 7 章:市場估計與預測:按應用分類,2018 年 - 2032 年

  • 主要趨勢
  • 臨床管理
  • 財務管理
  • 運作管理
  • 其他應用

第 8 章:市場估計與預測:按最終用途,2018 - 2032 年

  • 主要趨勢
  • 醫院
  • 診所
  • 其他最終用戶

第 9 章:市場估計與預測:按地區分類,2018 年 - 2032 年

  • 主要動向:按地區
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 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
    • 南非
    • 沙烏地阿拉伯
    • 中東和非洲其他地區

第 10 章:公司簡介

  • AIMMS
  • Alteryx
  • Deerwalk Inc.
  • FICO
  • Frontline Systems, Inc.
  • GUROBI OPTIMIZATION, LLC.
  • Health Catalyst
  • IBM Corporation
  • Optum Inc.
  • Oracle Corporation
  • River Logic, Inc.
  • SAS Institute Inc.
簡介目錄
Product Code: 8061

Global Healthcare Prescriptive Analytics Market Size will grow at 15.5% CAGR over 2024-2032, driven by an increased emphasis on value-based care models and patient outcomes and advancements in AI and ML technologies.

The integration of prescriptive analytics into population health management initiatives serves as a potent growth driver for the market. As healthcare systems worldwide prioritize proactive approaches to address the health needs of entire populations, the demand for prescriptive analytics solutions is on the rise. Moreover, governments are also keen to address healthcare challenges more effectively. For instance, as per WHO, it was found that the primary healthcare (PHC) approach is crucial for universal health coverage, with 90% of essential interventions achievable through this strategy.

Additionally, 75% of projected health gains from the Sustainable Development Goals can be realized by prioritizing PHC. By leveraging sophisticated analytics algorithms, prescriptive analytics enables healthcare providers to delve into population data, identifying at-risk groups and healthcare trends with unparalleled accuracy. This capability empowers stakeholders to implement targeted preventive interventions and wellness programs, ultimately leading to improved health outcomes across communities.

The Healthcare Prescriptive Analytics Market is classified based on component, deployment model, application, end-use, and region.

The services component segment will grow substantially between 2024 and 2032 as healthcare prescriptive analytics services assist healthcare organizations in formulating effective analytics strategies aligned with their business objectives and regulatory requirements. This involves the deployment and customization of prescriptive analytics solutions to meet specific healthcare provider needs. Moreover, services encompass training to ensure proficient utilization of analytics tools and ongoing support for the smooth operation of analytics systems.

The Healthcare Prescriptive Analytics Market Share from the on-premises solutions segment will expand rapidly through 2032 as they offer healthcare organizations greater control over their data and analytics infrastructure, addressing concerns over data security and compliance. It also enables integration with existing IT systems and infrastructure, minimizing disruption to clinical workflows. Furthermore, they provide healthcare providers with the flexibility to customize and tailor analytics platforms according to their specific requirements.

Asia Pacific Healthcare Prescriptive Analytics Market will register decent growth till 2032, driven by rapid urbanization, aging populations, and increasing healthcare expenditure. Moreover, governments and regulatory bodies are actively promoting the digitization of healthcare systems and the adoption of advanced analytics technologies to enhance healthcare delivery and patient outcomes. Countries such as China, India, and Japan are witnessing significant investments in healthcare IT infrastructure and analytics capabilities, further fueling market growth.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculation
  • 1.4 Data collection
  • 1.5 Data validation
  • 1.6 Data sources
    • 1.6.1 Primary
    • 1.6.2 Secondary
      • 1.6.2.1 Paid sources
      • 1.6.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Growing chronic disease burden
      • 3.2.1.2 Integration of big data in healthcare
      • 3.2.1.3 Growing demand for improved patient outcomes and operational efficiency
      • 3.2.1.4 Increasing focus on personalized and data-driven approaches
    • 3.2.2 Industry pitfalls & challenges
      • 3.2.2.1 Data security and privacy concerns
      • 3.2.2.2 Lack of skilled professionals
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
  • 3.5 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic dashboard

Chapter 5 Market Estimates and Forecast, By Component, 2018 - 2032 ($ Mn)

  • 5.1 Key trends
  • 5.2 Software
  • 5.3 Services

Chapter 6 Market Estimates and Forecast, By Deployment Model, 2018 - 2032 ($ Mn)

  • 6.1 Key trends
  • 6.2 On-premise
  • 6.3 Cloud-based

Chapter 7 Market Estimates and Forecast, By Application, 2018 - 2032 ($ Mn)

  • 7.1 Key trends
  • 7.2 Clinical management
  • 7.3 Financial management
  • 7.4 Operation management
  • 7.5 Other applications

Chapter 8 Market Estimates and Forecast, By End-Use, 2018 - 2032 ($ Mn)

  • 8.1 Key trends
  • 8.2 Hospitals
  • 8.3 Clinics
  • 8.4 Other end-users

Chapter 9 Market Estimates and Forecast, By Region, 2018 - 2032 ($ Mn)

  • 9.1 Key trends, by region
  • 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 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Rest of Latin America
  • 9.6 Middle East and Africa
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 Rest of Middle East and Africa

Chapter 10 Company Profiles

  • 10.1 AIMMS
  • 10.2 Alteryx
  • 10.3 Deerwalk Inc.
  • 10.4 FICO
  • 10.5 Frontline Systems, Inc.
  • 10.6 GUROBI OPTIMIZATION, LLC.
  • 10.7 Health Catalyst
  • 10.8 IBM Corporation
  • 10.9 Optum Inc.
  • 10.10 Oracle Corporation
  • 10.11 River Logic, Inc.
  • 10.12 SAS Institute Inc.