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市场调查报告书
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1473758

医疗保健规范分析市场 - 按组件(软体、服务)、部署模型(本地、基于云端)、应用程式(临床管理、财务管理、营运管理)、最终用途(医院)、全球预测,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个工作天内

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简介目录

在对基于价值的护理模式和患者结果以及人工智慧和机器学习技术进步的日益重视的推动下,全球医疗保健规范分析市场规模在 2024 年至 2032 年期间将以 15.5% 的复合年增长率增长。

将规范性分析整合到人口健康管理计划中是市场的强大成长动力。随着全球医疗保健系统优先考虑采取主动方法来满足全体人口的健康需求,对规范性分析解决方案的需求正在增加。此外,各国政府也热衷于更有效地应对医疗保健挑战。例如,世界卫生组织发现,初级卫生保健 (PHC) 方法对于全民健康覆盖至关重要,90% 的基本干预措施可以透过该策略实现。

此外,永续发展目标中 75% 的预计健康收益可以透过优先考虑初级卫生保健来实现。透过利用复杂的分析演算法,规范性分析使医疗保健提供者能够深入研究人口资料,以无与伦比的准确性识别高危险群和医疗保健趋势。这种能力使利害关係人能够实施有针对性的预防干预措施和健康计划,最终改善整个社区的健康结果。

医疗保健规范分析市场根据组件、部署模型、应用程式、最终用途和区域进行分类。

随着医疗保健规范分析服务帮助医疗保健组织制定与其业务目标和监管要求相符的有效分析策略,服务组件细分市场将在 2024 年至 2032 年间大幅增长。这涉及规范分析解决方案的部署和定制,以满足特定的医疗保健提供者的需求。此外,服务还包括确保熟练使用分析工具的培训以及对分析系统平稳运作的持续支援。

到 2032 年,本地解决方案领域的医疗保健规范分析市场份额将迅速扩大,因为它们为医疗保健组织提供了对其资料和分析基础设施的更大控制,解决了对资料安全性和合规性的担忧。它还可以与现有 IT 系统和基础设施集成,最大限度地减少对临床工作流程的干扰。此外,它们还为医疗保健提供者提供根据其特定要求灵活客製化和客製化分析平台的能力。

在快速城市化、人口老化和医疗支出增加的推动下,亚太地区医疗保健规范分析市场将在 2032 年之前实现可观成长。此外,政府和监管机构正在积极推动医疗保健系统的数位化和先进分析技术的采用,以改善医疗保健服务和病患治疗效果。中国、印度和日本等国家正在医疗保健 IT 基础设施和分析能力方面进行大量投资,进一步推动市场成长。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 产业影响力
    • 成长动力
      • 慢性病负担日益加重
      • 巨量资料在医疗保健领域的整合
      • 对改善患者治疗效果和营运效率的需求不断增长
      • 越来越关注个人化和数据驱动的方法
    • 产业陷阱与挑战
      • 资料安全和隐私问题
      • 缺乏熟练的专业人员
  • 成长潜力分析
  • 监管环境
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略仪表板

第 5 章:市场估计与预测:按组成部分,2018 年 - 2032 年

  • 主要趋势
  • 软体
  • 服务

第 6 章:市场估计与预测:按部署模型,2018 年 - 2032 年

  • 主要趋势
  • 本地部署
  • 基于云端

第 7 章:市场估计与预测:按应用分类,2018 年 - 2032 年

  • 主要趋势
  • 临床管理
  • 财务管理
  • 运作管理
  • 其他应用

第 8 章:市场估计与预测:按最终用途,2018 - 2032 年

  • 主要趋势
  • 医院
  • 诊所
  • 其他最终用户

第 9 章:市场估计与预测:按地区划分,2018 年 - 2032 年

  • 主要动向:按地区
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 中东和非洲其他地区

第 10 章:公司简介

  • 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.
简介目录
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.