Global Healthcare Predictive Analytics Market Report and Forecast 2023-2031

Global Healthcare Predictive Analytics Market Report and Forecast 2023-2031


Global Healthcare Predictive Analytics Market Outlook


The global healthcare predictive analytics market value was USD 12.6 billion in 2022, driven by the increasing demand for efficient healthcare solutions across the globe. The market size is anticipated to grow at a CAGR of 25.2% during the forecast period of 2023-2031 to achieve a value of USD 95.7 billion by 2031.

Healthcare Predictive Analytics: Introduction


Healthcare predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. The aim is to provide actionable insights that can help healthcare providers and organizations make better decisions, reduce costs, and improve patient outcomes.

Predictive analytics has a wide range of applications in healthcare, from identifying patients at risk of developing chronic conditions to predicting which patients are most likely to be readmitted to the hospital. It can also be used to optimize hospital operations, improve supply chain management, and identify fraud and abuse.

The healthcare predictive analytics market is driven by factors such as the growing adoption of electronic health records (EHRs), increasing healthcare expenditure, and the need to improve patient outcomes. The market is also expected to benefit from advances in artificial intelligence and machine learning technologies, which are enabling more sophisticated analysis of healthcare data.

However, challenges such as data privacy concerns, a lack of standardization, and the high cost of implementation are expected to limit market growth to some extent. Nonetheless, the healthcare predictive analytics market is expected to continue to grow in the coming years, driven by the increasing demand for data-driven decision-making and the growing availability of healthcare data.

Healthcare Predictive Analytics Market Scenario


Healthcare Predictive Analytics is an emerging market that is rapidly growing due to the increasing demand for efficient healthcare solutions. It involves the use of data analytics tools and technologies to improve the overall productivity and performance of healthcare organizations. The market is driven by the growing adoption of digital healthcare solutions, the need to reduce healthcare costs, and the increasing focus on patient outcomes.

Healthcare Predictive Analytics offers various benefits such as enhanced operational efficiency, improved patient outcomes, reduced healthcare costs, and increased revenue generation for healthcare organizations. The market has significant potential for growth due to the increasing demand for advanced data analytics tools and the growing need for healthcare organizations to optimize their operations.

The key players in the Healthcare Predictive Analytics market include healthcare providers, software vendors, and technology companies. The market is highly competitive, and companies are focusing on developing innovative solutions to stay ahead of the competition. The market is also characterized by increasing mergers and acquisitions, strategic collaborations, and partnerships, as companies seek to expand their market reach and enhance their product offerings.

Overall, the Healthcare Predictive Analytics market is expected to witness significant growth in the coming years, driven by increasing demand for data analytics tools and technologies, the growing need for healthcare organizations to optimize their operations, and the increasing focus on patient outcomes.

Healthcare Predictive Analytics Market Segmentations


Market Breakup by Application
  • Operation Management
  • Demand Forecasting
  • Workforce planning and Scheduling.
  • Inpatient Scheduling
  • Outpatient Scheduling
  • Financial
  • Revenue Cycle Management
  • Fraud Detection
  • Others
  • Population Health Management
  • Population Risk Management
  • Patient Engagement
  • Population Therapy Management
  • Others
  • Clinical
  • Quality Benchmarking
  • Patient Care Enhancement
  • Clinical Outcome Analysis and Management
Market Breakup by End User
  • Healthcare Payers
  • Healthcare Providers
  • Others
Market Breakup by Region
  • North America
  • United States of America
  • Canada
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • ASEAN
  • Australia
  • Others
  • Latin America
  • Brazil
  • Argentina
  • Mexico
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • United Arab Emirates
  • Nigeria
  • South Africa
  • Others

Key Trends in the Healthcare Predictive Analytics Market


Some key trends of the market are as follows:

Increasing adoption of electronic health records (EHRs) and electronic medical records (EMRs) is fuelling the growth of the healthcare predictive analytics market. These systems generate vast amounts of data that can be analyzed to gain insights into patient care and outcomes.

Machine learning and artificial intelligence (AI) are playing an increasingly important role in healthcare predictive analytics. These technologies can analyze large datasets quickly and accurately to identify patterns and predict outcomes.

The rise of value-based care models is driving demand for predictive analytics in healthcare. Providers and payers are looking for ways to improve outcomes and reduce costs, and predictive analytics can help identify patients who are at high risk for adverse events and enable earlier interventions.

The use of predictive analytics is expanding beyond the traditional healthcare setting. Employers and insurers are using these tools to improve employee health and reduce healthcare costs, and governments are using them to manage public health issues.

There is a growing trend toward personalized medicine, and predictive analytics is playing a key role in this area. By analyzing individual patient data, healthcare providers can tailor treatments to specific patient needs and improve outcomes.

Healthcare Predictive Analytics Market: Competitor Landscape


The key features of the market report include patent analysis, grants analysis, clinical trials analysis, funding and investment analysis, partnerships, and collaborations analysis by the leading key players. The major companies in the market are as follows:
  • IBM Corporation
  • Cerner Corporation
  • McKesson Corporation
  • SAS Institute Inc.
  • Oracle Corporation
  • Verisk Analytics Inc.
  • MedeAnalytics, Inc.
  • Allscripts
  • Optum Health Inc.
*Please Note:* The report will be completed in 7 business days after order confirmation


1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage – Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Healthcare Predictive Analytics Market Overview
3.1 Global Healthcare Predictive Analytics Market Historical Value (2016-2022)
3.2 Global Healthcare Predictive Analytics Market Forecast Value (2023-2031)
4 Global Healthcare Predictive Analytics Market Landscape
4.1 Global Healthcare Predictive Analytics Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Global Healthcare Predictive Analytics Product Landscape
4.2.1 Analysis by Application
4.2.2 Analysis by End User
5 Global Healthcare Predictive Analytics Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter’s Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Global Healthcare Predictive Analytics Market Segmentation
6.1 Global Healthcare Predictive Analytics Market by Application
6.1.1 Market Overview
6.1.2 Operation Management
6.1.2.1 Demand Forecasting
6.1.2.2 Workforce planning and Scheduling.
6.1.2.3 Inpatient Scheduling
6.1.2.4 Outpatient Scheduling
6.1.3 Financial
6.1.3.1 Revenue Cycle Management
6.1.3.2 Fraud Detection
6.1.3.3 Others
6.1.4 Population Health Management
6.1.4.1 Population Risk Management
6.1.4.2 Patient Engagement
6.1.4.3 Population Therapy Management
6.1.4.4 Others
6.1.5 Clinical
6.1.5.1 Quality Benchmarking
6.1.5.2 Patient Care Enhancement
6.1.5.3 Clinical Outcome Analysis and Management
6.2 Global Healthcare Predictive Analytics Market by End User
6.2.1 Market Overview
6.2.2 Healthcare Payers
6.2.3 Healthcare Providers
6.2.4 Others
6.3 Global Healthcare Predictive Analytics Market by Region
6.3.1 Market Overview
6.3.2 North America
6.3.3 Europe
6.3.4 Asia Pacific
6.3.5 Latin America
6.3.6 Middle East and Africa
7 North America Healthcare Predictive Analytics Market
7.1 Market Share by Country
7.2 United States of America
7.3 Canada
8 Europe Healthcare Predictive Analytics Market
8.1 Market Share by Country
8.2 United Kingdom
8.3 Germany
8.4 France
8.5 Italy
8.6 Others
9 Asia Pacific Healthcare Predictive Analytics Market
9.1 Market Share by Country
9.2 China
9.3 Japan
9.4 India
9.5 ASEAN
9.6 Australia
9.7 Others
10 Latin America Healthcare Predictive Analytics Market
10.1 Market Share by Country
10.2 Brazil
10.3 Argentina
10.4 Mexico
10.5 Others
11 Middle East and Africa Healthcare Predictive Analytics Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.4 Nigeria
11.5 South Africa
11.6 Others
12 Patent Analysis
12.1 Analysis by Type of Patent
12.2 Analysis by Publication year
12.3 Analysis by Issuing Authority
12.4 Analysis by Patent Age
12.5 Analysis by CPC Analysis
12.6 Analysis by Patent Valuation
12.7 Analysis by Key Players
13 Grants Analysis
13.1 Analysis by year
13.2 Analysis by Amount Awarded
13.3 Analysis by Issuing Authority
13.4 Analysis by Grant Application
13.5 Analysis by Funding Institute
13.6 Analysis by NIH Departments
13.7 Analysis by Recipient Organization
14 Funding Analysis
14.1 Analysis by Funding Instances
14.2 Analysis by Type of Funding
14.3 Analysis by Funding Amount
14.4 Analysis by Leading Players
14.5 Analysis by Leading Investors
14.6 Analysis by Geography
15 Partnership and Collaborations Analysis
15.1 Analysis by Partnership Instances
15.2 Analysis by Type of Partnership
15.3 Analysis by Leading Players
15.4 Analysis by Geography
16 Regulatory Framework
16.1 Regulatory Overview
16.1.1 US FDA
16.1.2 EU EMA
16.1.3 INDIA CDSCO
16.1.4 JAPAN PMDA
16.1.5 Others
17 Supplier Landscape
17.1 IBM Corporation
17.1.1 Financial Analysis
17.1.2 Product Portfolio
17.1.3 Demographic Reach and Achievements
17.1.4 Mergers and Acquisitions
17.1.5 Certifications
17.2 Cerner Corporation
17.2.1 Financial Analysis
17.2.2 Product Portfolio
17.2.3 Demographic Reach and Achievements
17.2.4 Mergers and Acquisitions
17.2.5 Certifications
17.3 McKesson Corporation
17.3.1 Financial Analysis
17.3.2 Product Portfolio
17.3.3 Demographic Reach and Achievements
17.3.4 Mergers and Acquisitions
17.3.5 Certifications
17.4 SAS Institute Inc.
17.4.1 Financial Analysis
17.4.2 Product Portfolio
17.4.3 Demographic Reach and Achievements
17.4.4 Mergers and Acquisitions
17.4.5 Certifications
17.5 Oracle Corporation
17.5.1 Financial Analysis
17.5.2 Product Portfolio
17.5.3 Demographic Reach and Achievements
17.5.4 Mergers and Acquisitions
17.5.5 Certifications
17.6 Verisk Analytics Inc.
17.6.1 Financial Analysis
17.6.2 Product Portfolio
17.6.3 Demographic Reach and Achievements
17.6.4 Mergers and Acquisitions
17.6.5 Certifications
17.7 MedeAnalytics, Inc.
17.7.1 Financial Analysis
17.7.2 Product Portfolio
17.7.3 Demographic Reach and Achievements
17.7.4 Mergers and Acquisitions
17.7.5 Certifications
17.8 Allscripts
17.8.1 Financial Analysis
17.8.2 Product Portfolio
17.8.3 Demographic Reach and Achievements
17.8.4 Mergers and Acquisitions
17.8.5 Certifications
17.9 Optum Health Inc.
17.9.1 Financial Analysis
17.9.2 Product Portfolio
17.9.3 Demographic Reach and Achievements
17.9.4 Mergers and Acquisitions
17.9.5 Certifications
18 Global Healthcare Predictive Analytics Market - Distribution Model (Additional Insight)
18.1 Overview
18.2 Potential Distributors
18.3 Key Parameters for Distribution Partner Assessment
19 Key Opinion Leaders (KOL) Insights (Additional Insight)
20 Company Competitiveness Analysis (Additional Insight)
20.1 Very Small Companies
20.2 Small Companies
20.3 Mid-Sized Companies
20.4 Large Companies
20.5 Very Large Companies
21 Payment Methods (Additional Insight)
21.1 Government Funded
21.2 Private Insurance
21.3 Out-of-Pocket

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