The global healthcare predictive analytics market value was USD 15.78 billion in 2023, 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 2024-2032 to achieve a value of USD 119.24 billion by 2032.
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Based on application, the population health management segment is expected to hold a significant share in the global healthcare predictive analytics industry during the forecast period. This growth can be attributed to the rising focus on improving clinical health outcomes through enhanced care and patient engagement with necessary financial and caring strategies.
Meanwhile, the clinical segment is also expected to aid the market growth. The increased deployment of clinical analytics helps the patients and caregivers with post-treatment complications, further allowing caregivers to access patient's medical history. These factors are predicted to aid the market growth in the coming years.
North America is predicted to hold a significant market share of the global healthcare predictive analytics industry. This surge can be attributed to the presence of the leading market players in the region. In addition, the presence of the state-of-the-art healthcare infrastructure in the region, along with rising investments by the government, is predicted to drive the market growth. Furthermore, the rapidly ageing population and the growing incidences of chronic diseases in the region are also significantly contributing to the industry growth.
Healthcare predictive analytics is a software that aids in the diagnosis, prognosis, and treatment of various diseases or health conditions. Utilising the advanced technological solutions such as artificial intelligence (AI) and machine learning (ML), the healthcare predictive analytics tools can store large amounts of data and predict a patient's response to certain treatments, along with the risk of developing a certain medical condition and its prognosis. Moreover, this software allows for a more personalised healthcare experience, as the software functions are based on the patient's medical history, environment, genetics, risk factors, among other aspects.
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Based on application, the market is distributed into:
Among these, operations management can be further distributed by type into demand forecasting, workforce planning and scheduling, inpatient scheduling, and outpatient scheduling. At the same time, financial can be divided by type into revenue cycle management, fraud detection, and others. In addition, population health management can be further segmented by type into population risk management, patient engagement, population therapy management, and others. While, clinical can be further segregated by type into quality benchmarking, patient care enhancement, and clinical outcome analysis and management.
On the basis of end use, the industry can be categorised into:
The regional markets for the product include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
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The rapidly increasing incidences of chronic illnesses worldwide, such as cardiovascular diseases, are leading to an increased demand for efficient healthcare facilities for timely diagnosis and effective treatment of diseases, which is propelling the healthcare predictive analytics industry. According to the WHO estimates, cardiovascular diseases are the leading cause of death globally, claiming more than 17.9 million lives every year. Cardiovascular diseases are illnesses of heart and blood vessels that are adversely affected by high-risk behaviours, such as unhealthy diet, physical inactivity, and substance abuse. Moreover, the heightened investments in the healthcare infrastructure worldwide are also aiding the market growth. For instance, according to Deloitte’s 2021 Global Healthcare Outlook report, the health spending is anticipated to rise at a 3.9% CAGR between 2020 to 2024, wherein the fastest growth is expected in the Asia Pacific region. These factors are predicted to drive the market growth in the coming years.
The report gives a detailed analysis of the following key players in the global healthcare predictive analytics market, covering their competitive landscape, capacity, and latest developments like mergers, acquisitions, and investments, expansions of capacity, and plant turnarounds:
The comprehensive EMR report provides an in-depth assessment of the industry based on the Porter's five forces model and SWOT analysis.
|Scope of the Report
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
|Breakup by Application
|Breakup by End User
|Breakup by Region
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
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 (2017-2023)
3.2 Global Healthcare Predictive Analytics Market Forecast Value (2024-2032)
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
126.96.36.199 Demand Forecasting
188.8.131.52 Workforce planning and Scheduling.
184.108.40.206 Inpatient Scheduling
220.127.116.11 Outpatient Scheduling
18.104.22.168 Revenue Cycle Management
22.214.171.124 Fraud Detection
6.1.4 Population Health Management
126.96.36.199 Population Risk Management
188.8.131.52 Patient Engagement
184.108.40.206 Population Therapy Management
220.127.116.11 Quality Benchmarking
18.104.22.168 Patient Care Enhancement
22.214.171.124 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
6.3 Global Healthcare Predictive Analytics Market by Region
6.3.1 Market Overview
6.3.2 North America
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
8 Europe Healthcare Predictive Analytics Market
8.1 Market Share by Country
8.2 United Kingdom
9 Asia Pacific Healthcare Predictive Analytics Market
9.1 Market Share by Country
10 Latin America Healthcare Predictive Analytics Market
10.1 Market Share by Country
11 Middle East and Africa Healthcare Predictive Analytics Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.5 South Africa
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
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
17.2 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
17.3 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
17.4 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
17.5 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
17.6 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
17.7 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
17.8.1 Financial Analysis
17.8.2 Product Portfolio
17.8.3 Demographic Reach and Achievements
17.8.4 Mergers and Acquisitions
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
18 Global Healthcare Predictive Analytics Market - Distribution Model (Additional Insight)
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
*Additional insights provided are customisable as per client requirements.
The healthcare predictive analytics Market was valued at USD 15.78 billion in 2023.
The market is expected to grow at a CAGR of 25.2% from 2024 to 2032 to reach a value of USD 119.24 billion by 2032.
The major drivers of the industry, such as increased demand for healthcare predictive analytics in a variety of medical sectors, rapidly growing geriatric population, presence of the state-of-the-art healthcare infrastructure, and rising focus on improving clinical health outcomes are expected to aid the market growth.
The key market trends guiding the industry's growth include the rapidly increasing incidences of chronic illnesses and heightened investments in the healthcare infrastructure.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The significant application segments include operations management, financial, population health management and clinical. Among these, operations management can be further distributed by type into demand forecasting, workforce planning and scheduling, inpatient scheduling, and outpatient scheduling. At the same time, financial can be divided by type into revenue cycle management, fraud detection, and others. In addition, population health management can be further segmented by type into population risk management, patient engagement, population therapy management, and others. While, clinical can be further segregated by type into quality benchmarking, patient care enhancement, and clinical outcome analysis and management.
The major end-use segments include into healthcare payers and healthcare providers among others.
The major players in the industry are IBM Corporation, Cerner Corporation, Mckesson Corporation, SAS Institute Inc., and Oracle Corporation among others.
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