세계의 헬스케어용 처방적 애널리틱스 시장 : 컴포넌트별, 도입 모델별, 애플리케이션별, 최종 용도별, 예측(2024-2032년)

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.