Market Overview:
The global predictive analytics in healthcare market is expected to grow at a CAGR of 16.8% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for big data and analytics solutions in the healthcare sector, rising focus on population health management, and growing need for cost-effective and efficient healthcare delivery models. The global predictive analytics in healthcare market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into software, hardware, and services. The software segment is expected to account for a major share of the global predictive analytics in healthcare market during the forecast period owing to its ability to provide actionable insights that help organizations improve their decision-making process. On the basis of application,the market is divided into three segments: payers, providers,,and others (including researchers/academics).
Product Definition:
Predictive analytics is the process of using data mining and modeling techniques to identify patterns in historical healthcare data that can be used to predict future outcomes, such as patient health status, hospital admissions, and readmissions. Predictive analytics can help healthcare organizations improve patient care by identifying patients who are at risk for adverse events such as hospitalization or readmission.
Software:
Software is any collection of programs or procedures that are designed using software engineering techniques and computer programming. It can be used for various applications such as data processing, Artificial Intelligence (AI), business automation, computer-aided design, education etc. Software is an essential part of the healthcare industry owing to its ability to store & process patient information and provide analysis in real-time.
Hardware:
Hardware is the part of predictive analytics in healthcare market that includes devices such as computers, laptops, tablets, smartphones and other communication devices. Hardware is an important aspect of PCHD (Predictive Clinical Health Diagnosis) because it helps to collect data from different sources and transfer them into one system for analysis. This technology has evolved over time with many new advancements coming up which are expected to boost the growth of this industry during the forecast period 2014-2025.
Application Insights:
Healthcare payer application dominated the market in 2017. Predictive analytics in healthcare is used by payers to manage financial, operational and strategic risks associated with payment processing. The software enables them to make smart decisions for planning, designing and implementing health insurance programs while reducing costs and improving efficiency.
The others segment includes applications such as disease management, population management & forecasting, risk assessment & management among others which are relatively less developed compared to other segments but have the potential to grow at a significant rate over the forecast period due to increasing demand for effective care coordination across providers and patients.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period owing to continuous technological advancements and increasing adoption of cloud-based solutions. Moreover, rising demand for cost-effective healthcare services is also driving regional growth.
Asia Pacific is anticipated to witness lucrative growth over the next eight years owing to factors such as improving healthcare infrastructure and growing awareness about predictive analytics among users. Furthermore, an increase in government initiatives aimed at curbing disease burden will also boost regional demand during the forecast period. For instance, according to a study published by Global Burden of Disease (GBD) study group in 2016, China’s life expectancy has increased by nearly six years since 1990 which was 12th highest amongst all countries surveyed globally; this trendline bodes well for Asia Pacific's future growth prospects within GBD studies pertaining health outcomes & trends globally & across regions as well as within China itself over time.
Growth Factors:
- Increasing demand for personalized medicine and preventive care
- Rising prevalence of chronic diseases and geriatric population
- Growing need for improved healthcare outcomes and cost efficiency
- Proliferation of big data in healthcare industry
- Advancements in predictive analytics technology
Scope Of The Report
Report Attributes
Report Details
Report Title
Predictive Analytics in Healthcare Market Research Report
By Type
Software, Hardware, Service
By Application
Healthcare Payer, Healthcare Provider, Others
By Companies
Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute, Microsoft Corporation, 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
222
Number of Tables & Figures
156
Customization Available
Yes, the report can be customized as per your need.
Global Predictive Analytics in Healthcare Market Report Segments:
The global Predictive Analytics in Healthcare market is segmented on the basis of:
Types
Software, Hardware, Service
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 Payer, Healthcare Provider, 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 Healthcare Solutions
- Cerner Corporation
- IBM Corporation
- Information Builders
- MedeAnalytics
- Optum
- Oracle Corporation
- SAS Institute
- Microsoft Corporation
- Verisk Analytics
Highlights of The Predictive Analytics in Healthcare 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:
- Software
- Hardware
- Service
- By Application:
- Healthcare Payer
- Healthcare Provider
- 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 Predictive Analytics in Healthcare 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.
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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?
Predictive analytics is a method of using data and algorithms to make predictions about future events or behaviors. Predictive analytics can be used in healthcare to predict which patients are likely to experience adverse events, identify new patient cohorts that may benefit from specific treatments, and forecast how much revenue a particular treatment will generate.
Some of the major players in the predictive analytics in healthcare market are Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute, Microsoft Corporation, Verisk Analytics.
The predictive analytics in healthcare market is expected to register a CAGR of 16.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size & Forecast, 2018-2028
4.5.1 Predictive Analytics in Healthcare Market Size and Y-o-Y Growth
4.5.2 Predictive Analytics in Healthcare Market Absolute $ Opportunity
Chapter 5 Global Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Type
5.2.1 Software
5.2.2 Hardware
5.2.3 Service
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Applications
6.2.1 Healthcare Payer
6.2.2 Healthcare Provider
6.2.3 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Analysis and Forecast
9.1 Introduction
9.2 North America Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Type
9.6.1 Software
9.6.2 Hardware
9.6.3 Service
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 Predictive Analytics in Healthcare Market Size Forecast by Applications
9.10.1 Healthcare Payer
9.10.2 Healthcare Provider
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 Predictive Analytics in Healthcare Analysis and Forecast
10.1 Introduction
10.2 Europe Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Type
10.6.1 Software
10.6.2 Hardware
10.6.3 Service
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 Predictive Analytics in Healthcare Market Size Forecast by Applications
10.10.1 Healthcare Payer
10.10.2 Healthcare Provider
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 Predictive Analytics in Healthcare Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Type
11.6.1 Software
11.6.2 Hardware
11.6.3 Service
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 Predictive Analytics in Healthcare Market Size Forecast by Applications
11.10.1 Healthcare Payer
11.10.2 Healthcare Provider
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 Predictive Analytics in Healthcare Analysis and Forecast
12.1 Introduction
12.2 Latin America Predictive Analytics in Healthcare 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 Predictive Analytics in Healthcare Market Size Forecast by Type
12.6.1 Software
12.6.2 Hardware
12.6.3 Service
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 Predictive Analytics in Healthcare Market Size Forecast by Applications
12.10.1 Healthcare Payer
12.10.2 Healthcare Provider
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) Predictive Analytics in Healthcare Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Predictive Analytics in Healthcare 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) Predictive Analytics in Healthcare Market Size Forecast by Type
13.6.1 Software
13.6.2 Hardware
13.6.3 Service
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) Predictive Analytics in Healthcare Market Size Forecast by Applications
13.10.1 Healthcare Payer
13.10.2 Healthcare Provider
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 Predictive Analytics in Healthcare Market: Competitive Dashboard
14.2 Global Predictive Analytics in Healthcare Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Allscripts Healthcare Solutions
14.3.2 Cerner Corporation
14.3.3 IBM Corporation
14.3.4 Information Builders
14.3.5 MedeAnalytics
14.3.6 Optum
14.3.7 Oracle Corporation
14.3.8 SAS Institute
14.3.9 Microsoft Corporation
14.3.10 Verisk Analytics
