The Market Reports
Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com
Predictive Analytics in Healthcare-Global Market Insights and Sales Trends 2024
Synopsis
Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration.
The global Predictive Analytics in Healthcare market size is expected to reach US$ 4405.2 million by 2029, growing at a CAGR of 12.0% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Analytics in Healthcare in various end use industries. The expanding demands from the Healthcare Payer, Healthcare Provider and Others,, are propelling Predictive Analytics in Healthcare market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Hardware segment is estimated at % CAGR for the next seven-year period.
The global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Analytics in Healthcare, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Analytics in Healthcare market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Analytics in Healthcare market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Analytics in Healthcare sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Analytics in Healthcare covered in this report include Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute and Microsoft Corporation, etc.
The global Predictive Analytics in Healthcare market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Allscripts Healthcare Solutions
Cerner Corporation
IBM Corporation
Information Builders
MedeAnalytics
Optum
Oracle Corporation
SAS Institute
Microsoft Corporation
Verisk Analytics
Global Predictive Analytics in Healthcare market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Analytics in Healthcare market, Segment by Type:
Software
Hardware
Service
Global Predictive Analytics in Healthcare market, by Application
Healthcare Payer
Healthcare Provider
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Predictive Analytics in Healthcare companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration.
The global Predictive Analytics in Healthcare market size is expected to reach US$ 4405.2 million by 2029, growing at a CAGR of 12.0% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Analytics in Healthcare in various end use industries. The expanding demands from the Healthcare Payer, Healthcare Provider and Others,, are propelling Predictive Analytics in Healthcare market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Hardware segment is estimated at % CAGR for the next seven-year period.
The global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Analytics in Healthcare, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Analytics in Healthcare market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Analytics in Healthcare market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Analytics in Healthcare sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Analytics in Healthcare covered in this report include Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Information Builders, MedeAnalytics, Optum, Oracle Corporation, SAS Institute and Microsoft Corporation, etc.
The global Predictive Analytics in Healthcare market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Allscripts Healthcare Solutions
Cerner Corporation
IBM Corporation
Information Builders
MedeAnalytics
Optum
Oracle Corporation
SAS Institute
Microsoft Corporation
Verisk Analytics
Global Predictive Analytics in Healthcare market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Analytics in Healthcare market, Segment by Type:
Software
Hardware
Service
Global Predictive Analytics in Healthcare market, by Application
Healthcare Payer
Healthcare Provider
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Predictive Analytics in Healthcare companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Predictive Analytics in Healthcare
1.1 Predictive Analytics in Healthcare Market Overview
1.1.1 Predictive Analytics in Healthcare Product Scope
1.1.2 Predictive Analytics in Healthcare Market Status and Outlook
1.2 Global Predictive Analytics in Healthcare Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Predictive Analytics in Healthcare Market Size by Region (2018-2029)
1.4 Global Predictive Analytics in Healthcare Historic Market Size by Region (2018-2023)
1.5 Global Predictive Analytics in Healthcare Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Predictive Analytics in Healthcare Market Size (2018-2029)
1.6.1 North America Predictive Analytics in Healthcare Market Size (2018-2029)
1.6.2 Europe Predictive Analytics in Healthcare Market Size (2018-2029)
1.6.3 Asia-Pacific Predictive Analytics in Healthcare Market Size (2018-2029)
1.6.4 Latin America Predictive Analytics in Healthcare Market Size (2018-2029)
1.6.5 Middle East & Africa Predictive Analytics in Healthcare Market Size (2018-2029)
2 Predictive Analytics in Healthcare Market by Type
2.1 Introduction
2.1.1 Software
2.1.2 Hardware
2.1.3 Service
2.2 Global Predictive Analytics in Healthcare Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Predictive Analytics in Healthcare Historic Market Size by Type (2018-2023)
2.2.2 Global Predictive Analytics in Healthcare Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Predictive Analytics in Healthcare Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Predictive Analytics in Healthcare Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Predictive Analytics in Healthcare Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Predictive Analytics in Healthcare Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Predictive Analytics in Healthcare Revenue Breakdown by Type (2018-2029)
3 Predictive Analytics in Healthcare Market Overview by Application
3.1 Introduction
3.1.1 Healthcare Payer
3.1.2 Healthcare Provider
3.1.3 Others
3.2 Global Predictive Analytics in Healthcare Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Predictive Analytics in Healthcare Historic Market Size by Application (2018-2023)
3.2.2 Global Predictive Analytics in Healthcare Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Predictive Analytics in Healthcare Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Predictive Analytics in Healthcare Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Predictive Analytics in Healthcare Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Predictive Analytics in Healthcare Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Predictive Analytics in Healthcare Revenue Breakdown by Application (2018-2029)
4 Predictive Analytics in Healthcare Competition Analysis by Players
4.1 Global Predictive Analytics in Healthcare Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Predictive Analytics in Healthcare as of 2022)
4.3 Date of Key Players Enter into Predictive Analytics in Healthcare Market
4.4 Global Top Players Predictive Analytics in Healthcare Headquarters and Area Served
4.5 Key Players Predictive Analytics in Healthcare Product Solution and Service
4.6 Competitive Status
4.6.1 Predictive Analytics in Healthcare Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Allscripts Healthcare Solutions
5.1.1 Allscripts Healthcare Solutions Profile
5.1.2 Allscripts Healthcare Solutions Main Business
5.1.3 Allscripts Healthcare Solutions Predictive Analytics in Healthcare Products, Services and Solutions
5.1.4 Allscripts Healthcare Solutions Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.1.5 Allscripts Healthcare Solutions Recent Developments
5.2 Cerner Corporation
5.2.1 Cerner Corporation Profile
5.2.2 Cerner Corporation Main Business
5.2.3 Cerner Corporation Predictive Analytics in Healthcare Products, Services and Solutions
5.2.4 Cerner Corporation Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.2.5 Cerner Corporation Recent Developments
5.3 IBM Corporation
5.3.1 IBM Corporation Profile
5.3.2 IBM Corporation Main Business
5.3.3 IBM Corporation Predictive Analytics in Healthcare Products, Services and Solutions
5.3.4 IBM Corporation Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.3.5 Information Builders Recent Developments
5.4 Information Builders
5.4.1 Information Builders Profile
5.4.2 Information Builders Main Business
5.4.3 Information Builders Predictive Analytics in Healthcare Products, Services and Solutions
5.4.4 Information Builders Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.4.5 Information Builders Recent Developments
5.5 MedeAnalytics
5.5.1 MedeAnalytics Profile
5.5.2 MedeAnalytics Main Business
5.5.3 MedeAnalytics Predictive Analytics in Healthcare Products, Services and Solutions
5.5.4 MedeAnalytics Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.5.5 MedeAnalytics Recent Developments
5.6 Optum
5.6.1 Optum Profile
5.6.2 Optum Main Business
5.6.3 Optum Predictive Analytics in Healthcare Products, Services and Solutions
5.6.4 Optum Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.6.5 Optum Recent Developments
5.7 Oracle Corporation
5.7.1 Oracle Corporation Profile
5.7.2 Oracle Corporation Main Business
5.7.3 Oracle Corporation Predictive Analytics in Healthcare Products, Services and Solutions
5.7.4 Oracle Corporation Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.7.5 Oracle Corporation Recent Developments
5.8 SAS Institute
5.8.1 SAS Institute Profile
5.8.2 SAS Institute Main Business
5.8.3 SAS Institute Predictive Analytics in Healthcare Products, Services and Solutions
5.8.4 SAS Institute Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.8.5 SAS Institute Recent Developments
5.9 Microsoft Corporation
5.9.1 Microsoft Corporation Profile
5.9.2 Microsoft Corporation Main Business
5.9.3 Microsoft Corporation Predictive Analytics in Healthcare Products, Services and Solutions
5.9.4 Microsoft Corporation Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.9.5 Microsoft Corporation Recent Developments
5.10 Verisk Analytics
5.10.1 Verisk Analytics Profile
5.10.2 Verisk Analytics Main Business
5.10.3 Verisk Analytics Predictive Analytics in Healthcare Products, Services and Solutions
5.10.4 Verisk Analytics Predictive Analytics in Healthcare Revenue (US$ Million) & (2018-2023)
5.10.5 Verisk Analytics Recent Developments
6 North America
6.1 North America Predictive Analytics in Healthcare Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Predictive Analytics in Healthcare Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Predictive Analytics in Healthcare Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Predictive Analytics in Healthcare Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Predictive Analytics in Healthcare Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Predictive Analytics in Healthcare Market Dynamics
11.1 Predictive Analytics in Healthcare Industry Trends
11.2 Predictive Analytics in Healthcare Market Drivers
11.3 Predictive Analytics in Healthcare Market Challenges
11.4 Predictive Analytics in Healthcare Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
Why ‘The Market Reports’
In Business:
Pre Sales Support:
Post Sales Support:
Turn Around Time:
Clients Served:
Clients Assisted:
Client Types:
Payment:
- Accept global payments [Credit Card / PayPal / Wire Transfer]
- Accept local payments in South Korea, Germany, China and India [Can pay in local currency]
Latest Life Science Market Reports
Payments Accepted From
Connect with us at
Complete Secure Website
