Market Overview:
The global healthcare predictive analytics market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data and advanced analytics solutions in the healthcare industry, rising focus on population health management, and growing need for cost-effective and efficient healthcare delivery models. The global healthcare predictive analytics market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into diet habits predictive analytics, physiological parameters predictive analytics, vital signs predictive analytics, and others (including prescription history analysis). Diet habits predictive analytics held the largest share of this market in 2017 owing to its ability to help organizations identify high-risk patients early on and take preventive measures accordingly. By application,the global healthcare predictive analyticsmarket is divided into three segments: Healthcare payers (health insurance companies), Healthcare providers (hospitals & clinics),and others(including medical device manufacturers & pharmaceutical companies).
Product Definition:
Healthcare predictive analytics is the use of data mining, machine learning and artificial intelligence techniques to predict healthcare outcomes and trends. The goal of healthcare predictive analytics is to identify patients who are most likely to benefit from a particular treatment, or who are at risk for developing a particular condition. Healthcare providers can use this information to improve patient care, reduce costs, and improve outcomes.
Diet Habits:
Diet Habits, it's usage.
The global diet habits, its usage and growth factor in healthcare predictive analytics market size was valued at USD 6.5 billion in 2015. The growing prevalence of chronic diseases such as diabetes, cardiovascular disorders & obesity is expected to propel the demand for diet habits-based personalized medicine over the forecast period.
Physiological Parameters:
Physiological parameters are the measurements of the body's response to external stimuli such as drugs, infections, and other environmental factors. Physiological parameters have been used in healthcare predictive analytics for a long time; however they were not well defined or studied. Over the last decade there has been an upsurge in interest in these areas due to advancements in technology and better study designs that enable accurate results with greater sample size.
Application Insights:
Healthcare payers are expected to emerge as the fastest-growing segment over the forecast period. The growing need for cost control in this sector is anticipated to be a key factor driving predictive analytics in this segment. Healthcare providers use these solutions to identify financial risks and opportunities, improve operational efficiency, reduce healthcare spending & claim settlement time and optimize revenue cycle management.
The others application category includes individuals employed by private companies or organizations that provide medical services such as clinical trials or diagnostic imaging studies. These individuals have access to patient data which they can use for making decisions about patients¢â‚¬â„¢ care plans which further improves quality of care along with reducing costs associated with it. Furthermore, these solutions help prevent frauds during claims processing thereby improving both internal and external customer ratings of health insurers across the globe.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position throughout the forecast period owing to increasing investments by governments and other private organizations for improving healthcare outcomes at lower costs. Moreover, technological advancements such as electronic medical records (EMR), genomic information, and artificial intelligence are also contributing toward growth of the regional market.
Asia Pacific is anticipated to witness lucrative growth over the forecast period owing to rising prevalence of chronic diseases coupled with growing awareness about preventive care services among patients and their families. In addition, rapidly developing economy in this region offers numerous opportunities for service providers; hence it will drive demand for predictive analytics in healthcare sector over next eight years.
Growth Factors:
- Increasing demand for personalized medicine and preventive care
- Rising incidence of chronic diseases and lifestyle-related disorders
- Growing need for improved healthcare delivery systems
- Proliferation of big data in the healthcare sector
- Advances in predictive analytics technology
Scope Of The Report
Report Attributes
Report Details
Report Title
Healthcare Predictive Analytics Market Research Report
By Type
Diet Habits, Physiological Parameters, Vital Signs
By Application
Healthcare Payers, Healthcare Providers, Others
By Companies
Allscripts, Cerner Corporation, Elsevier, IBM, McKesson Corporation, MEDai, MedeAnalytics, Optum Health, Oracle, SAS, Verisk Analytics
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
198
Number of Tables & Figures
139
Customization Available
Yes, the report can be customized as per your need.
Global Healthcare Predictive Analytics Market Report Segments:
The global Healthcare Predictive Analytics market is segmented on the basis of:
Types
Diet Habits, Physiological Parameters, Vital Signs
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Healthcare Payers, Healthcare Providers, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Allscripts
- Cerner Corporation
- Elsevier
- IBM
- McKesson Corporation
- MEDai
- MedeAnalytics
- Optum Health
- Oracle
- SAS
- Verisk Analytics
Highlights of The Healthcare Predictive Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Diet Habits
- Physiological Parameters
- Vital Signs
- By Application:
- Healthcare Payers
- Healthcare Providers
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Healthcare Predictive Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Healthcare predictive analytics is a subset of data science that uses algorithms to make predictions about the future health and medical outcomes of patients. Predictive models can be used to identify patterns in patient data, predict which patients are likely to experience certain conditions or symptoms, and recommend treatments or interventions. Healthcare predictive analytics can help clinicians make more informed decisions about care for their patients and improve the quality of care delivered across the healthcare system.
Some of the major players in the healthcare predictive analytics market are Allscripts, Cerner Corporation, Elsevier, IBM, McKesson Corporation, MEDai, MedeAnalytics, Optum Health, Oracle, SAS, Verisk Analytics.
The healthcare predictive analytics market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Healthcare Predictive Analytics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Healthcare Predictive Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Healthcare Predictive Analytics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Healthcare Predictive Analytics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Healthcare Predictive Analytics Market Size & Forecast, 2020-2028
4.5.1 Healthcare Predictive Analytics Market Size and Y-o-Y Growth
4.5.2 Healthcare Predictive Analytics Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Diet Habits
5.2.2 Physiological Parameters
5.2.3 Vital Signs
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Healthcare Payers
6.2.2 Healthcare Providers
6.2.3 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Healthcare Predictive Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Healthcare Predictive Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Diet Habits
9.6.2 Physiological Parameters
9.6.3 Vital Signs
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Healthcare Payers
9.10.2 Healthcare Providers
9.10.3 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Diet Habits
10.6.2 Physiological Parameters
10.6.3 Vital Signs
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Healthcare Payers
10.10.2 Healthcare Providers
10.10.3 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Diet Habits
11.6.2 Physiological Parameters
11.6.3 Vital Signs
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Healthcare Payers
11.10.2 Healthcare Providers
11.10.3 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Diet Habits
12.6.2 Physiological Parameters
12.6.3 Vital Signs
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Healthcare Payers
12.10.2 Healthcare Providers
12.10.3 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Diet Habits
13.6.2 Physiological Parameters
13.6.3 Vital Signs
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Healthcare Payers
13.10.2 Healthcare Providers
13.10.3 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Healthcare Predictive Analytics Market: Competitive Dashboard
14.2 Global Healthcare Predictive Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Allscripts
14.3.2 Cerner Corporation
14.3.3 Elsevier
14.3.4 IBM
14.3.5 McKesson Corporation
14.3.6 MEDai
14.3.7 MedeAnalytics
14.3.8 Optum Health
14.3.9 Oracle
14.3.10 SAS
14.3.11 Verisk Analytics
