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The global healthcare predictive analytics market stood at a value of around USD 5.3 billion in 2020. The market is further expected to grow at a CAGR of 30.8% in the forecast period of 2023-2028 to attain a value of around USD 26.4 billion by 2026.
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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.
REPORT FEATURES | DETAILS |
---|---|
Base Year | 2022 |
Historical Period | 2018-2022 |
Forecast Period | 2023-2028 |
Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Application, End Use, Region |
Breakup by Application | Operations Management, Financial, Population Health Management, Clinical |
Breakup by End Use | Healthcare Payers, Healthcare Providers, Others |
Breakup by Region | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
Companies Covered | IBM Corporation, Cerner Corporation, Mckesson Corporation, SAS Institute Inc., Oracle Corporation, Others |
Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*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 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Industry Opportunities and Challenges
8 Global Healthcare Predictive Analytics Market Analysis
8.1 Key Industry Highlights
8.2 Global Healthcare Predictive Analytics Historical Market (2018-2022)
8.3 Global Healthcare Predictive Analytics Market Forecast (2023-2028)
8.4 Global Healthcare Predictive Analytics Market by Application
8.4.1 Operations Management
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2022)
8.4.1.3 Forecast Trend (2023-2028)
8.4.1.4 Breakup by Type
8.4.1.4.1 Demand Forecasting
8.4.1.4.1.1 Market Share
8.4.1.4.1.2 Historical Trend (2018-2022)
8.4.1.4.1.3 Forecast Trend (2023-2028)
8.4.1.4.2 Workforce Planning and Scheduling
8.4.1.4.2.1 Market Share
8.4.1.4.2.2 Historical Trend (2018-2022)
8.4.1.4.2.3 Forecast Trend (2023-2028)
8.4.1.4.3 Inpatient Scheduling
8.4.1.4.3.1 Market Share
8.4.1.4.3.2 Historical Trend (2018-2022)
8.4.1.4.3.3 Forecast Trend (2023-2028)
8.4.1.4.4 Outpatient Scheduling
8.4.1.4.4.1 Market Share
8.4.1.4.4.2 Historical Trend (2018-2022)
8.4.1.4.4.3 Forecast Trend (2023-2028)
8.4.2 Financial
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2022)
8.4.2.3 Forecast Trend (2023-2028)
8.4.2.4 Breakup by Type
8.4.2.4.1 Revenue Cycle Management
8.4.2.4.1.1 Market Share
8.4.2.4.1.2 Historical Trend (2018-2022)
8.4.2.4.1.3 Forecast Trend (2023-2028)
8.4.2.4.2 Fraud Detection
8.4.2.4.2.1 Market Share
8.4.2.4.2.2 Historical Trend (2018-2022)
8.4.2.4.2.3 Forecast Trend (2023-2028)
8.4.2.4.3 Others
8.4.3 Population Health Management
8.4.3.1 Market Share
8.4.3.2 Historical Trend (2018-2022)
8.4.3.3 Forecast Trend (2023-2028)
8.4.3.4 Breakup by Type
8.4.3.4.1 Population Risk Management
8.4.3.4.1.1 Market Share
8.4.3.4.1.2 Historical Trend (2018-2022)
8.4.3.4.1.3 Forecast Trend (2023-2028)
8.4.3.4.2 Patient Engagement
8.4.3.4.2.1 Market Share
8.4.3.4.2.2 Historical Trend (2018-2022)
8.4.3.4.2.3 Forecast Trend (2023-2028)
8.4.3.4.3 Population Therapy Management
8.4.3.4.3.1 Market Share
8.4.3.4.3.2 Historical Trend (2018-2022)
8.4.3.4.3.3 Forecast Trend (2023-2028)
8.4.3.4.4 Others
8.4.4 Clinical
8.4.4.1 Market Share
8.4.4.2 Historical Trend (2018-2022)
8.4.4.3 Forecast Trend (2023-2028)
8.4.4.4 Breakup by Type
8.4.4.4.1 Quality Benchmarking
8.4.4.4.1.1 Market Share
8.4.4.4.1.2 Historical Trend (2018-2022)
8.4.4.4.1.3 Forecast Trend (2023-2028)
8.4.4.4.2 Patient Care Enhancement
8.4.4.4.2.1 Market Share
8.4.4.4.2.2 Historical Trend (2018-2022)
8.4.4.4.2.3 Forecast Trend (2023-2028)
8.4.4.4.3 Clinical Outcome Analysis and Management
8.4.4.4.3.1 Market Share
8.4.4.4.3.2 Historical Trend (2018-2022)
8.4.4.4.3.3 Forecast Trend (2023-2028)
8.5 Global Healthcare Predictive Analytics Market by End Use
8.5.1 Healthcare Payers
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2022)
8.5.1.3 Forecast Trend (2023-2028)
8.5.2 Healthcare Providers
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2022)
8.5.2.3 Forecast Trend (2023-2028)
8.5.3 Others
8.6 Global Healthcare Predictive Analytics Market by Region
8.6.1 Market Share
8.6.1.1 North America
8.6.1.2 Europe
8.6.1.3 Asia Pacific
8.6.1.4 Latin America
8.6.1.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2018-2022)
9.1.2 Forecast Trend (2023-2028)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2018-2022)
9.2.2 Forecast Trend (2023-2028)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2018-2022)
9.3.2 Forecast Trend (2023-2028)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2018-2022)
9.4.2 Forecast Trend (2023-2028)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2018-2022)
9.5.2 Forecast Trend (2023-2028)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Value Chain Analysis
12 Competitive Landscape
12.1 Market Structure
12.2 Company Profiles
12.2.1 IBM Corporation
12.2.1.1 Company Overview
12.2.1.2 Product Portfolio
12.2.1.3 Demographic Reach and Achievements
12.2.1.4 Certifications
12.2.2 Cerner Corporation
12.2.2.1 Company Overview
12.2.2.2 Product Portfolio
12.2.2.3 Demographic Reach and Achievements
12.2.2.4 Certifications
12.2.3 Mckesson Corporation
12.2.3.1 Company Overview
12.2.3.2 Product Portfolio
12.2.3.3 Demographic Reach and Achievements
12.2.3.4 Certifications
12.2.4 SAS Institute Inc.
12.2.4.1 Company Overview
12.2.4.2 Product Portfolio
12.2.4.3 Demographic Reach and Achievements
12.2.4.4 Certifications
12.2.5 Oracle Corporation
12.2.5.1 Company Overview
12.2.5.2 Product Portfolio
12.2.5.3 Demographic Reach and Achievements
12.2.5.4 Certifications
12.2.6 Others
13 Industry Events and Developments
List of Key Figures and Tables
1. Global Healthcare Predictive Analytics Market: Key Industry Highlights, 2018 and 2028
2. Global Healthcare Predictive Analytics Historical Market: Breakup by Application (USD Billion), 2018-2022
3. Global Healthcare Predictive Analytics Market Forecast: Breakup by Application (USD Billion), 2023-2028
4. Global Healthcare Predictive Analytics Historical Market: Breakup by End-Use (USD Billion), 2018-2022
5. Global Healthcare Predictive Analytics Market Forecast: Breakup by End-Use (USD Billion), 2023-2028
6. Global Healthcare Predictive Analytics Historical Market: Breakup by Region (USD Billion), 2018-2022
7. Global Healthcare Predictive Analytics Market Forecast: Breakup by Region (USD Billion), 2023-2028
8. North America Healthcare Predictive Analytics Historical Market: Breakup by Country (USD Billion), 2018-2022
9. North America Healthcare Predictive Analytics Market Forecast: Breakup by Country (USD Billion), 2023-2028
10. Europe Healthcare Predictive Analytics Historical Market: Breakup by Country (USD Billion), 2018-2022
11. Europe Healthcare Predictive Analytics Market Forecast: Breakup by Country (USD Billion), 2023-2028
12. Asia Pacific Healthcare Predictive Analytics Historical Market: Breakup by Country (USD Billion), 2018-2022
13. Asia Pacific Healthcare Predictive Analytics Market Forecast: Breakup by Country (USD Billion), 2023-2028
14. Latin America Healthcare Predictive Analytics Historical Market: Breakup by Country (USD Billion), 2018-2022
15. Latin America Healthcare Predictive Analytics Market Forecast: Breakup by Country (USD Billion), 2023-2028
16. Middle East and Africa Healthcare Predictive Analytics Historical Market: Breakup by Country (USD Billion), 2018-2022
17. Middle East and Africa Healthcare Predictive Analytics Market Forecast: Breakup by Country (USD Billion), 2023-2028
18. Global Healthcare Predictive Analytics Market Structure
In 2020, the global healthcare predictive analytics market attained a value of nearly USD 5.3 billion.
The market is projected to grow at a CAGR of 30.8% between 2023 and 2028.
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.
The global healthcare predictive analytics market attained a value of USD 5.3 billion in 2020, driven by the increased prevalence of chronic illness worldwide such as cardiovascular ailments. Aided by increased investments in the healthcare sector and rising focus on improving clinical health outcomes, the market is expected to witness a further growth in the forecast period of 2023-2028, growing at a CAGR of 30.8%.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. By application, the market can be distributed into 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. On the basis of end use, the industry can be segmented into healthcare payers and healthcare providers among others. The major regional markets for the healthcare predictive analytics are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include IBM Corporation, Cerner Corporation, Mckesson Corporation, SAS Institute Inc., and Oracle Corporation among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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