2016 – 2026
GLOBAL PREDICTIVE ANALYTICS IN HEALTHCARE MARKET FORECAST & OPPORTUNITIES
www.techsciresearch.com MARKET INTELLIGENCE . CONSULTING
Scope of Report Product of Interest (POI): Predictive Analytics in Healthcare
Predictive analytics is an advancing method of improving patient outcomes. By looking at data and outcomes of past patients, machine learning algorithms can be programmed to provide insight into methods of treatment that will work best for the current patients.
Market Segmentation Year Range REGION
APPLICATION
Clinical Decision & Diagnosis
•
Asia-Pacific
Support (CDS)
•
Europe
•
Risk Prediction & Scoring
•
North America
•
Demand Forecast
•
South America
•
Drug Discovery
•
Middle East & Africa
•
Disease & Cancer Detection
•
Fraud Detection
•
Others
•
END USERS
COMPONENT
•
Hardware
•
Software
•
Services
Review Period
2016 – 2019 Base Year
2020 Estimated Year
2021 Forecast Period
2022 – 2026
DEPLOYMENT MODE
•
Healthcare Providers
•
Healthcare Payers
•
On premises
•
Others
•
Cloud
2
Table of Contents S. No.
Contents
1.
Product Overview (Definition of Product Type and major terminologies used in the report)
2.
Research Methodology (Detailed description of the methodology used to conduct the research, Raw data backup, list of all secondary sources, List of respondents for primary surveys)
3.
Impact of COVID-19 on Global Predictive Analytics in Healthcare Market
4.
Executive Summary (This chapter covers summary of the complete study.)
5.
Voice Of Customer
6.
5.1.
Brand Awareness
5.2.
Brand Satisfaction
5.3.
Factors Influencing Purchase Decision
5.4.
Product Awareness
Page No.
Global Predictive Analytics in Healthcare Market Outlook, 2016-2026F (This chapter includes a brief overview of the product of interest market such as total market’s growth rate, expected growth rate, key growth levers, leading region, top grossing product types, etc. It includes more of a qualitative information about the market.) 6.1.
Market Size & Forecast 6.1.1.
6.2.
6.3.
By Value
Market Share & Forecast 6.2.1.
By Application (Clinical Decision & Diagnosis Support (CDS), Risk Prediction & Scoring, Demand Forecast, Drug Discovery, Disease & Cancer Detection, Fraud Detection, Others)
6.2.2.
By End Users (Healthcare Providers, Healthcare Payers, Others)
6.2.3.
By Component(Hardware, Software, Services)
6.2.4.
By Deployment Mode (On premises, Cloud)
6.2.5.
By Company (2020)
6.2.6.
By Region
Product Market Map
3
Table of Contents S. No.
7.
Contents
Page No.
Asia-Pacific Predictive Analytics in Healthcare Market Outlook 7.1.
Market Size & Forecast 7.1.1.
7.2.
7.3.
By Value
Market Share & Forecast 7.2.1.
By Application
7.2.2.
By End Users
7.2.3.
By Component
7.2.4.
By Deployment Mode
7.2.5.
By Country
Asia-Pacific: Country Analysis 7.3.1.
China Predictive Analytics in Healthcare Market Outlook 7.3.1.1.
Market Size & Forecast 7.3.1.1.1.
7.3.1.2.
By Value
Market Share & Forecast 7.3.1.2.1.
By Application
7.3.1.2.2.
By End Users
7.3.1.2.3.
By Component
7.3.1.2.4.
By Deployment Mode
4
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Contents
7.3.2.
India Predictive Analytics in Healthcare Market Outlook
7.3.2.1.
Market Size & Forecast 7.3.2.1.1.
7.3.2.2.
7.3.3.
Page No.
By Value
Market Share & Forecast 7.3.2.2.1.
By Application
7.3.2.2.2.
By End Users
7.3.2.2.3.
By Component
7.3.2.2.4.
By Deployment Mode
Japan Predictive Analytics in Healthcare Market Outlook 7.3.3.1.
Market Size & Forecast 7.3.3.1.1.
7.3.3.2.
By Value
Market Share & Forecast 7.3.3.2.1.
By Application
7.3.3.2.2.
By End Users
7.3.3.2.3.
By Component
7.3.3.2.4.
By Deployment Mode
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Contents
7.3.4.
South Korea Predictive Analytics in Healthcare Market Outlook 7.3.4.1.
Market Size & Forecast 7.3.4.1.1.
7.3.4.2.
7.3.5.
Page No.
By Value
Market Share & Forecast 7.3.4.2.1.
By Application
7.3.4.2.2.
By End Users
7.3.4.2.3.
By Component
7.3.4.2.4.
By Deployment Mode
Australia Predictive Analytics in Healthcare Market Outlook 7.3.5.1.
Market Size & Forecast 7.3.5.1.1.
7.3.5.2.
By Value
Market Share & Forecast 7.3.5.2.1.
By Application
7.3.5.2.2.
By End Users
7.3.5.2.3.
By Component
7.3.5.2.4.
By Deployment Mode
6
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Contents
7.3.6.
Singapore Predictive Analytics in Healthcare Market Outlook 7.3.6.1.
Market Size & Forecast 7.3.6.1.1.
7.3.6.2.
8.
Page No.
By Value
Market Share & Forecast 7.3.6.2.1.
By Application
7.3.6.2.2.
By End Users
7.3.6.2.3.
By Component
7.3.6.2.4.
By Deployment Mode
Europe Predictive Analytics in Healthcare Market Outlook 8.1.
Market Size & Forecast 8.1.1.
8.2.
8.3.
By Value
Market Share & Forecast 8.2.1.
By Application
8.2.2.
By End Users
8.2.3.
By Component
8.2.4.
By Deployment Mode
8.2.5.
By Country
Europe: Country Analysis
7
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Contents
8.3.1.
France Predictive Analytics in Healthcare Market Outlook 8.3.1.1.
Market Size & Forecast 8.3.1.1.1.
8.3.1.2.
8.3.2.
Page No.
By Value
Market Share & Forecast 8.3.1.2.1.
By Application
8.3.1.2.2.
By End Users
8.3.1.2.3.
By Component
8.3.1.2.4.
By Deployment Mode
Germany Predictive Analytics in Healthcare Market Outlook 8.3.2.1.
Market Size & Forecast 8.3.2.1.1.
8.3.2.2.
By Value
Market Share & Forecast 8.3.2.2.1.
By Application
8.3.2.2.2.
By End Users
8.3.2.2.3.
By Component
8.3.2.2.4.
By Deployment Mode
8
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Contents
8.3.3.
United Kingdom Predictive Analytics in Healthcare Market Outlook 8.3.3.1.
Market Size & Forecast 8.3.3.1.1.
8.3.3.2.
8.3.4.
Page No.
By Value
Market Share & Forecast 8.3.3.2.1.
By Application
8.3.3.2.2.
By End Users
8.3.3.2.3.
By Component
8.3.3.2.4.
By Deployment Mode
Italy Predictive Analytics in Healthcare Market Outlook 8.3.4.1.
Market Size & Forecast 8.3.4.1.1.
8.3.4.2.
By Value
Market Share & Forecast 8.3.4.2.1.
By Application
8.3.4.2.2.
By End Users
8.3.4.2.3.
By Component
8.3.4.2.4.
By Deployment Mode
9
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Contents
8.3.5.
Spain Predictive Analytics in Healthcare Market Outlook 8.3.5.1.
Market Size & Forecast 8.3.5.1.1.
8.3.5.2.
8.3.6.
Page No.
By Value
Market Share & Forecast 8.3.5.2.1.
By Application
8.3.5.2.2.
By End Users
8.3.5.2.3.
By Component
8.3.5.2.4.
By Deployment Mode
Russia Predictive Analytics in Healthcare Market Outlook 8.3.6.1.
Market Size & Forecast 8.3.6.1.1.
8.3.6.2.
By Value
Market Share & Forecast 8.3.6.2.1.
By Application
8.3.6.2.2.
By End Users
8.3.6.2.3.
By Component
8.3.6.2.4.
By Deployment Mode
10
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9.
Contents
Page No.
North America Predictive Analytics in Healthcare Market Outlook 9.1.
Market Size & Forecast 9.1.1.
9.2.
9.3.
By Value
Market Share & Forecast 9.2.1.
By Application
9.2.2.
By End Users
9.2.3.
By Component
9.2.4.
By Deployment Mode
9.2.5.
By Country
North America: Country Analysis 9.3.1.
United States Predictive Analytics in Healthcare Market Outlook
9.3.1.1.
Market Size & Forecast 9.3.1.1.1.
9.3.1.2.
By Value
Market Share & Forecast 9.3.1.2.1.
By Application
9.3.1.2.2.
By End Users
9.3.1.2.3.
By Component
9.3.1.2.4.
By Deployment Mode
11
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Contents
9.3.2.
Canada Predictive Analytics in Healthcare Market Outlook 9.3.2.1.
Market Size & Forecast 9.3.2.1.1.
9.3.2.2.
9.3.3.
Page No.
By Value
Market Share & Forecast 9.3.2.2.1.
By Application
9.3.2.2.2.
By End Users
9.3.2.2.3.
By Component
9.3.2.2.4.
By Deployment Mode
Mexico Predictive Analytics in Healthcare Market Outlook 9.3.3.1.
Market Size & Forecast 9.3.3.1.1.
9.3.3.2.
By Value
Market Share & Forecast 9.3.3.2.1.
By Application
9.3.3.2.2.
By End Users
9.3.3.2.3.
By Component
9.3.3.2.4.
By Deployment Mode
12
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10.
Contents
Page No.
South America Predictive Analytics in Healthcare Market Outlook 10.1.
Market Size & Forecast 10.1.1.
10.2.
10.3.
By Value
Market Share & Forecast 10.2.1.
By Application
10.2.2.
By End Users
10.2.3.
By Component
10.2.4.
By Deployment Mode
10.2.5.
By Country
South America: Country Analysis 10.3.1.
Brazil Predictive Analytics in Healthcare Market Outlook
10.3.1.1.
Market Size & Forecast 10.3.1.1.1
10.3.1.2.
By Value
Market Share & Forecast 10.3.1.2.1.
By Application
10.3.1.2.2.
By End Users
10.3.1.2.3.
By Component
10.3.1.2.4.
By Deployment Mode
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Contents
10.3.2.
Argentina Predictive Analytics in Healthcare Market Outlook 10.3.2.1.
Market Size & Forecast 10.3.2.1.1
10.3.2.2.
10.3.3.
Page No.
By Value
Market Share & Forecast 10.3.2.2.1.
By Application
10.3.2.2.2.
By End Users
10.3.2.2.3.
By Component
10.3.2.2.4.
By Deployment Mode
Colombia Predictive Analytics in Healthcare Market Outlook 10.3.3.1.
Market Size & Forecast 10.3.3.1.1
10.3.3.2.
By Value
Market Share & Forecast
10.3.3.2.1.
By Application
10.3.2.2.2.
By End Users
10.3.2.2.3.
By Component
10.3.2.2.4.
By Deployment Mode
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Contents
10.3.4.
Chile Predictive Analytics in Healthcare Market Outlook 10.3.4.1.
Market Size & Forecast 10.3.4.1.1
10.3.4.2.
11.
Page No.
By Value
Market Share & Forecast 10.3.4.2.1.
By Application
10.3.4.2.2.
By End Users
10.3.4.2.3.
By Component
10.3.4.2.4.
By Deployment Mode
Middle East & Africa Predictive Analytics in Healthcare Market Outlook 11.1.
Market Size & Forecast 11.1.1.
11.2.
11.3.
By Value
Market Share & Forecast 11.2.1.
By Application
11.2.2.
By End Users
11.2.3.
By Component
11.2.4.
By Deployment Mode
11.2.5.
By Country
MEA: Country Analysis
15
Table of Contents S. No.
Contents
11.3.1
Saudi Arabia Predictive Analytics in Healthcare Market Outlook 11.3.1.1.
Market Size & Forecast 11.3.1.1.1.
11.3.1.2.
11.3.2.
Page No.
By Value
Market Share & Forecast 11.3.1.2.1.
By Application
11.3.1.2.2.
By End Users
11.3.1.2.3.
By Component
11.3.1.2.4.
By Deployment Mode
UAE Predictive Analytics in Healthcare Market Outlook 11.3.2.1.
Market Size & Forecast 11.3.2.1.1.
11.3.2.2.
By Value
Market Share & Forecast
11.3.2.2.1.
By Application
11.3.2.2.2.
By End Users
11.3.2.2.3.
By Component
11.3.2.2.4.
By Deployment Mode
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Contents
11.3.3.
South Africa Predictive Analytics in Healthcare Market Outlook 11.3.3.1.
Market Size & Forecast 11.3.3.1.1.
11.3.3.2.
11.3.4.
Page No.
By Value
Market Share & Forecast 11.3.3.2.1.
By Application
11.3.3.2.2.
By End Users
11.3.3.2.3.
By Component
11.3.3.2.4.
By Deployment Mode
Qatar Predictive Analytics in Healthcare Market Outlook 11.3.4.1.
Market Size & Forecast 11.3.4.1.1.
11.3.4.2.
By Value
Market Share & Forecast
11.3.4.2.1.
By Application
11.3.4.2.2.
By End Users
11.3.4.2.3.
By Component
11.3.4.2.4.
By Deployment Mode
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Contents
11.3.5.
Egypt Predictive Analytics in Healthcare Market Outlook 11.3.5.1.
Market Size & Forecast 11.3.5.1.1.
11.3.5.2.
12.
Page No.
By Value
Market Share & Forecast 11.3.5.2.1.
By Application
11.3.5.2.2.
By End Users
11.3.5.2.3.
By Component
11.3.5.2.4.
By Deployment Mode
Market Dynamics 12.1.
Drivers
12.2.
Challenges
13.
Market Trends & Developments
14.
Policy & Regulatory Landscape
15.
Competitive Landscape 15.1.
Competitive Outlook
15.2.
Company Profiles
18
Table of Contents S. No.
Contents
15.2.1.
Company Details
15.2.2.
Product Types & Services
15.2.3.
Financials (As Reported)
15.2.4.
Key Market Focus & Geographical Presence
15.2.5.
Recent Developments
15.2.6.
Key Management Personnel
16.
Strategic Recommendations
17.
About Us & Disclaimer
Page No.
19
RESEARCH METHODOLOGY
Research Methodology
Market Profiling
In-depth secondary research was conducted to determine top players in the global predictive analytics in healthcare market, overall market size and segmental market size.
Formulating Questionnaire
In order to conduct industry experts’ interviews, TechSci formulated a detailed discussion guide.
Developing List of Respondents
Data Collection
Data Validation
Data obtained as a result of primary and secondary research was validated through rigorous triangulation.
TechSci conducted interviews with industry experts and industry players for data collection and verification.
List of industry players and industry specialists was developed.
Primary Research
Data Collection
Data Filter & Analysis
Research & Intelligence
Actionable Insights
Business Solution
LinkedIn TechSci Internal Database
✓ Recent Developments ✓ Market Changing Aspects/Dynamics ✓ Government Policies ✓ Conclusion
✓ Identifying Key Opinion Leaders ✓ Questionnaire Design ✓ In-depth Interviews
Primary Research ✓ ✓
Desk Research
Secondary Research ✓ ✓ ✓ ✓ ✓ ✓ ✓
Company Websites Company Annual Reports White Paper Study Financial Reports Investor Presentations Regulatory Body Associations, etc.
Data Analysis
The data was scrutinized using MS-Excel, statistical tools and internal proprietary database to obtain qualitative and quantitative insights about the global predictive analytics in healthcare market.
Company Analysis ✓ Market Participants ✓ Key Strengths
Paid Sources
✓ ✓
Factiva Hoovers
21
Research Methodology Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of the global predictive analytics in healthcare market. The team has analyzed the outlook of various segments of this market, while considering the major influencing factors such as predictive analytics in healthcare. The study includes market forecasting, which would enable our clients to take better decisions while planning their strategy to achieve sustainability in the global predictive analytics in healthcare market.
Methodology Followed for Calculation of Market Size:
•
Market Size by Value : Market size, in terms of value , for the year 2020 was calculated based on information collected through exhaustive secondary research and primary surveys, with various key opinion leaders/stakeholders, such as predictive analytics in healthcare companies, channel partners, market influencers & end-users, industry experts, and other industry participants.
•
The team interviewed more than 15 – 20 predictive analytics in healthcare companies, 100 – 120 end-users, and 15 – 20 industry experts and
other value chain stakeholders in the global predictive analytics in healthcare market to obtain the overall market size from 2016 to 2020, which was validated by the Delphi technique. Taking standard deviation into consideration, the market size was averaged out, to arrive at the market size data during 2016-2020.
22
Research Methodology •
Respondents were asked about the current and future market growth rates, market shares by application, by end user, by component, by deployment mode, by company and by region. Removing the outlier responses, the geometric mean of growth estimates and provider wise revenue shares generated across various segments were considered, to arrive at the final revenue shares. Revenue shares generated across various segments were further triangulated from other stakeholders.
Methodology Followed for Calculation of Market Shares: •
Market share by application, by end user, by component, by deployment mode, by company and by region were calculated based on the responses received through primary surveys with industry experts, in which the respondents were asked about the market shares or revenue generated from various segments of predictive analytics in healthcare markets. The final shares were calculated by taking the geometric mean of the responses gathered from key opinion leaders after eliminating the outliers.
Methodology Followed for Forecasting: •
TechSci Research performed periodical checks on data collected through the surveys with logic checks and analyzed the survey results in SPSS/Tableau Software.
•
Data triangulation techniques were applied to fill the gaps and to present a more meaningful picture of the market. To forecast global predictive analytics in healthcare market, TechSci Research used various forecast techniques such as:
✓
Moving Average
✓
Time Series Analysis
✓
Regression Analysis
✓
Econometric and Judgmental Analysis
23
Research Methodology TechSci Research used its own forecast tool, which is based on the growth of various allied industries in respective regions. TechSci Research also used the impact analysis during short, medium and long term period to estimate the demand and to reach accurate market numbers. It should be noted that the figures compiled are only for the organized market including market share data. The currency used in the report is the United States Dollar (USD), with the market size indicated in USD million. Partial List of Companies Interviewed
Key Secondary Sources
•
IBM Corporation
▪ World Bank
•
Unitedhealth Group, Inc.,
▪ TechSci Research Proprietary Database & Knowledge
•
Oracle Corporation
•
Cerner Corporation
▪ Company Annual Reports
•
Microsoft Corp.
▪ Industry Magazines
•
Allscripts Healthcare Solutions, Inc.
▪ Industry Reports
•
Verisk Analytics, Inc.
▪ News Dailies
•
Medeanalytics, Inc
▪ Credible Paid Databases
•
Information Builders, Inc.
•
SAS Institute, Inc.
•
Health Catalyst
•
McKesson Corporation
•
Wipro
•
Ayasadi
•
Conifer Health Solutions
Repository
24
Industry Brief Demand for analyzed data for advancing healthcare is driving the growth in Global Predictive Analytics In Healthcare Market in the forecast period, 2022-2026. According to TechSci Research report, “Predictive analytics in healthcare Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 20162026 Segmented By Application (Clinical Decision & Diagnosis Support (CDS), Risk Prediction & Scoring, Demand Forecast, Drug Discovery, Disease & Cancer Detection, Fraud Detection, Others), By End Users (Healthcare Providers, Healthcare Payers, Others), By Component (Hardware, Software, Services), By Deployment Mode (On premises, Cloud), By Region”, the global predictive analytics in healthcare market would potentially project an impressive growth in the forecast period, 2022-2026, with an impressive CAGR on the account of surging demand for the analyzed data for the effective and efficient healthcare services. Increasing demand for the effective patient care, increasing chronic diseases and its remedies is further driving the growth of the global predictive analytics in healthcare market in the upcoming five years. Emergence of personalized and evidence-based medicine, growing need of increasing efficiency in the healthcare sector, and increasing demand to curtail healthcare costs by reducing unnecessary costs is further supporting the growth of the global predictive analytics in healthcare market in the next five years. Predictive analytics in healthcare played vital role during COVID-19 pandemic in response to defense against the widespread virus. The enormous data raised due to the increasing number of patients helped the researchers and pharmaceutical product providers in analyzing the effect of virus and the vaccines thus generated. Predictive analytics in healthcare sector enables the healthcare providers in analyzing the situations and changing conditions of the patient under observation. The method also aids various investment bodies in deciding and finalizing their future investment plans related to healthcare industry. The demands, uses, and requirement of the equipment, technologies, methods, etc. The global predictive analytics in healthcare market segmentation is based on application, end users, component, deployment mode, competitional landscape, and regional distribution. Based on application, the market is further bifurcated into clinical decision & diagnosis support (CDS), risk prediction & scoring, drug discovery, disease & cancer detection, fraud detection, and others. Clinical decision & diagnosis support (CDS) is utilized by the healthcare providers to estimate the risk percentage to an individual’s health. These data also help the patients and caregivers with post operation issues like surgical site infection and poor physical health, etc. Moreover, with clinical data analytics, patients can explain their health conditions to different doctors repeatedly. This can be achieved through an acute analysis of their clinical data, further providing preventive care.
IBM Corporation, Unitedhealth Group, Inc., Oracle Corporation, Cerner Corporation, Microsoft Corp., Allscripts Healthcare Solutions, Inc., Verisk Analytics, Inc., Medeanalytics, Inc, Information Builders, Inc., SAS Institute, Inc., Health Catalyst, McKesson Corporation, Wipro, Ayasadi, Conifer Health Solutions, are some of the market players holding the major shares of the global predictive analytics in healthcare market. Market players are actively involved in the research and technological development in the product developments. The advanced technology has made it possible for the industry to provide excellent services through predictive analytics in healthcare. Further advancement would aid the market value and brand establishment in the future five years. New market players may focus on the research and development to provide options that satisfies the consumer demand as well as benefits the market players in building their brand value. Other competitive strategies include mergers & acquisitions and new product developments. “North America is anticipated to hold the largest revenue shares in the future five years. The healthcare industry is rapidly evolving. The advanced methods, along with the streamlined healthcare systems, updated regulatory policies and availability of trained workforce are some of the major markets driving factors currently aiding the growth of the global predictive analytics in healthcare market. Asia Pacific region is expected to register fastest growing CAGR value and exhibit impressive growth in the next five years on the account of reformed policies and economic developments. The region also supports booming IT industry and the prevailing IT outsourcing services are expected to further substantiate the growth of the global predictive analytics in healthcare market,” said Mr. Karan Chechi, Research Director with TechSci Research, a research based Global management consulting firm.
25
Sample Data - Snapshot Global Predictive Analytics in Healthcare Market Size, By Value (USD Million), 2016-2026F
5.00
8.00
7.00
6.00
2016
9.00
10.00
2020
2021E
11.00
12.00
13.00
14.00
15.00
2026F CAGR BY VALUE: XX%
CAGR BY VALUE: XX%
Global Predictive Analytics in Healthcare Market Share, By Application, By Value, 2016–2026F Clinical Decision & Diagnosis Support (CDS) Demand Forecast Disease & Cancer Detection Others 2026F 2025F 2024F 2023F 2022F
2021E 2020 2019 2018 2017 2016
20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20%
20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20%
Risk Prediction & Scoring Drug Discovery Fraud Detection
20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
United States Predictive Analytics in Healthcare Market Share, By Component, By Value, 2016–2026F Hardware 2026F 2024F 2022F 2020 2018 2016
33% 33% 33% 33% 33% 33% 33% 33% 33% 33% 33%
Software
33% 33% 33% 33% 33% 33% 33% 33% 33% 33% 33%
Services
34% 34% 34% 34% 34% 34% 34% 34% 34% 34% 34%
26
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Report Name: GLOBAL PREDICTIVE ANALYTICS IN HEALTHCARE MARKET FORECAST & OPPORTUNITIES 2016 – 2026 License Type
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About Us & Disclaimer
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proprietary forecasting models use various analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global industry prospects. Combined with the detailed analysis of company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.
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Egypt Internet of Things (IoT) Market By Component (Software, Hardware & Service), By Type (B2B, B2G, B2C), By Connectivity (LPWAN, Radio frequency Identification (RFID), Near Field Communication, Zigbee, Others), By End Use (Manufacturing, IT & Telecom, Automotive &Transportation, Consumer Electronics, Healthcare, Environmental Monitoring, & Others), By Region, Competition, Forecast & Opportunities, 2026 TechSci Research – North America 708 Third Avenue, Manhattan, New York, United States Tel: +1- 646- 360- 1656 Email: sales@techsciresearch.com www.techsciresearch.com
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