헬스케어 예측 분석 시장 : 구성요소, 용도, 최종 사용자별 - 세계 예측(2025-2030년)

The Healthcare Predictive Analytics Market was valued at USD 17.42 billion in 2023, expected to reach USD 21.92 billion in 2024, and is projected to grow at a CAGR of 26.29%, to USD 89.30 billion by 2030.

Healthcare predictive analytics involves the use of statistical techniques, machine learning, and artificial intelligence to analyze historical data and predict future outcomes. This scope typically includes risk scoring, disease progression forecasting, resource optimization, and enhanced decision-making in clinical, operational, and financial contexts. The necessity stems from a growing need for cost reduction, improved patient care, early intervention, and managing the burgeoning data from electronic health records, IoT devices, and patient feedback systems. Applications range from hospital administration, where predictive analytics optimize staffing and resource use, to personalized medicine that tailors treatment plans according to predictive models. End-use sectors include hospitals, clinical laboratories, research institutions, and insurance companies. Key growth factors include increasing demand for advanced analytical solutions, rising awareness of the benefits, and technological advancements such as cloud computing and big data analytics. However, significant opportunities arise in the integration of AI for more precise algorithms, expanding telemedicine infrastructure, and leveraging wearable tech for real-time analytics. Challenges include high implementation costs, the necessity for data privacy and security, and a shortage of skilled professionals. The rapidly evolving regulatory landscape also poses potential hurdles. Innovating in AI-driven data harmonization techniques and developing intuitive, user-friendly analytics platforms could present major growth avenues. Additionally, engaging in robust partnerships between tech firms and healthcare providers can enhance the adaptability of predictive analytics solutions. The healthcare predictive analytics market is highly competitive, with a myriad of players ranging from startups to established corporations, necessitating constant innovation and adaptation. Emphasizing interoperability, data quality, and real-time analytics capability will be crucial. Researchers and businesses should explore cross-functional analytics, integrating genomic data analysis, and developing predictive models for emergent healthcare needs such as mental health and chronic disease management. Overall, while there are substantial growth prospects, clear strategies to mitigate challenges are essential for sustained advancement.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Healthcare Predictive Analytics Market

The Healthcare Predictive Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Burgeoning volume in healthcare database globally
  • Growing investment in digital technology to manage and interpret available data
  • Increasing implementation of electronic health records
• Market Restraints
  • Lack of skilled professional and reluctance to adopt healthcare analytics in developing economies
• Market Opportunities
  • Technological advancements in analytics of healthcare things and use of big data
• Market Challenges
  • Concerns over data privacy and theft

Porter's Five Forces: A Strategic Tool for Navigating the Healthcare Predictive Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Healthcare Predictive Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Healthcare Predictive Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Healthcare Predictive Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Healthcare Predictive Analytics Market

A detailed market share analysis in the Healthcare Predictive Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Healthcare Predictive Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Healthcare Predictive Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Healthcare Predictive Analytics Market

A strategic analysis of the Healthcare Predictive Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Healthcare Predictive Analytics Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Allscripts Healthcare, LLC, Apixio, Inc., ArborMetrix, Inc., General Electric Company, Health Catalyst, Inovalon, International Business Machines Corporation, IQVIA Inc., Koninklijke Philips N.V., lumiata Inc. by Somatus, Inc., MedeAnalytics, Inc., Optum, Inc., Oracle Corporation, and SAS Institute Inc..

Market Segmentation & Coverage

This research report categorizes the Healthcare Predictive Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Components, market is studied across Software and Solutions.
• Based on Application, market is studied across Clinical, Financial, Operations Management, and Population Health. The Clinical is further studied across Clinical Outcome Analysis & Management, Patient Care Enhancement, and Quality Benchmarking. The Financial is further studied across Fraud Detection and Revenue Cycle Management. The Operations Management is further studied across Demand Forecasting, Inpatient Scheduling, Outpatient Scheduling, and Workforce Planning & Scheduling. The Population Health is further studied across Patient Engagement, Population Risk Management, and Population Therapy Management.
• Based on End-User, market is studied across Healthcare Payers and Healthcare Providers.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Burgeoning volume in healthcare database globally
    • 5.1.1.2. Growing investment in digital technology to manage and interpret available data
    • 5.1.1.3. Increasing implementation of electronic health records
  • 5.1.2. Restraints
    • 5.1.2.1. Lack of skilled professional and reluctance to adopt healthcare analytics in developing economies
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements in analytics of healthcare things and use of big data
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns over data privacy and theft
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Healthcare Predictive Analytics Market, by Components

• 6.1. Introduction
• 6.2. Software
• 6.3. Solutions

7. Healthcare Predictive Analytics Market, by Application

• 7.1. Introduction
• 7.2. Clinical
  • 7.2.1. Clinical Outcome Analysis & Management
  • 7.2.2. Patient Care Enhancement
  • 7.2.3. Quality Benchmarking
• 7.3. Financial
  • 7.3.1. Fraud Detection
  • 7.3.2. Revenue Cycle Management
• 7.4. Operations Management
  • 7.4.1. Demand Forecasting
  • 7.4.2. Inpatient Scheduling
  • 7.4.3. Outpatient Scheduling
  • 7.4.4. Workforce Planning & Scheduling
• 7.5. Population Health
  • 7.5.1. Patient Engagement
  • 7.5.2. Population Risk Management
  • 7.5.3. Population Therapy Management

8. Healthcare Predictive Analytics Market, by End-User

• 8.1. Introduction
• 8.2. Healthcare Payers
• 8.3. Healthcare Providers

9. Americas Healthcare Predictive Analytics Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Healthcare Predictive Analytics Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Healthcare Predictive Analytics Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture PLC
• 2. Allscripts Healthcare, LLC
• 3. Apixio, Inc.
• 4. ArborMetrix, Inc.
• 5. General Electric Company
• 6. Health Catalyst
• 7. Inovalon
• 8. International Business Machines Corporation
• 9. IQVIA Inc.
• 10. Koninklijke Philips N.V.
• 11. lumiata Inc. by Somatus, Inc.
• 12. MedeAnalytics, Inc.
• 13. Optum, Inc.
• 14. Oracle Corporation
• 15. SAS Institute Inc.