Global Data-Driven Healthcare Market By Deployment (On-Premises, Cloud); By Facility Size (Small and Medium Sized Facilities, Large Sized Facilities); By Business Function (Finance, Marketing & Sales, Administrative, Others); By Technologies (Machine Learning, Artificial Intelligence, Internet of Things (IoT), Advanced Analytics, Cloud, Blockchain, Others); By End-User (Hospitals and Clinics, Physician Practices, Skilled Nursing Facilities, Third-Party Healthcare Administrators, Health Benefits Consultants, Health Insurance Brokers, Life Science/Pharma, Others); By Region (U.S., Canada, Mexico, Rest of North America, France, UK, Germany, Spain, Italy, Nordic Countries, Benelux Union, Rest of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of MEA, Brazil, Argentina, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2022 – 2030
Industry Trends
Global data-driven healthcare market growing at an estimated CAGR of 25.67% over the forecast period (2022 – 2030). Data was once considered as new crude and it literally changed the dynamics of each and every industry. Same can be said about the healthcare market. The use of data has been a boon to the world of medical science and healthcare as it is helping in various things. Today, the healthcare companies and organizations are heavily relying on data as the overall costs of healthcare is going upwards. Also rapidly aging population, upward going costs of healthcare and number of hospitalizations also contributes to the growth of the global data-driven healthcare market. The recent COVID-19 pandemic has changed the healthcare sector forever. The havoc wreaked by the dreadful infection shattered the health infrastructure of the world, though it has benefited the global data-driven healthcare market.
Deployment Outlook
On the basis of deployment, the global data-driven healthcare market has been divided into on-premises and cloud. Security of data is the most important thing in today’s times and this is exactly why leading or bigger healthcare organizations prefer on-premise deployment. The on-premise segment of this market dominates in terms of market share. The amount of data stored with bigger organizations is of sensitive nature and indeed needs protection from any sort of online threats.
Facility Size Outlook
On the basis of facility size, the global data-driven healthcare market has been segregated into small and medium sized facilities and large sized facilities. The large-sized facilities are generating majority of the revenue for this market. These facilities are a hub of maximum data related to numerous people and hence this segment dominates in terms of market share.
Technologies Outlook
On the basis of technologies, the global data-driven healthcare market has been divided into machine learning, artificial intelligence, internet of things (IoT), advanced analytics, cloud, blockchain, others. The artificial intelligence (AI) segment mints most of the money for this market. This latest technology is helping streamline several procedures related to proper management of data. Auto-generated responses and segregation of data can be easily done with the help of AI.
End-User Outlook
The end-user segment of the global data-driven healthcare market has been segregated into hospitals and clinics, physician practices, skilled nursing facilities, third-party healthcare administrators, health benefits consultants, health insurance brokers, and life science/ pharma companies. The hospitals and clinics have been dominating in terms of market share. Prior to pandemic and also during and post the crisis, the number of people seeking treatment for their ailments is rising and this contributes to the growth of this market. Meanwhile, the pharma and medical research companies’ segment is witnessing growth at a rapid rate.
Region Outlook
On the basis of region, the global data-driven healthcare market has been divided into Latin America, Europe, Middle East & Africa, North America, Asia-Pacific. The region of North America generates maximum amount of revenue for the market. Higher awareness about right use of data in the countries like the United States and Canada is driving the growth of market.
Global Data-Driven Healthcare MarketRevenue & Forecast, (US$ Million), 2022 – 2030
Competitive Landscape
The report provides both, qualitative and quantitative research of global data-driven healthcare market as well as provides comprehensive insights and development methods adopted by the key contenders. The report also offers extensive research on the key players in this market and details on the competitiveness of these players. Key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contacts adopted by these major market participants are also recognized and analysed in the report. For each company, the report studies their global presence, competitors, service offerings and specification amongst others.
Some of the major players operating in the global data-driven healthcare market are listed below:
- Allscripts
- Cerner
- CitiusTech
- Cotiviti
- Health Catalyst
- IBM
- Innovaccer Inc.
- Inovalon
- McKesson
- MedeAnalytics
- Microsoft
- Optum
- Oracle
- SAS Institute
- SCIO Health Analytics
- Siemens Healthcare Private Limited
- VitreosHealth
- Wipro
- Other Market Participants
Global Data-driven Healthcare Market
By Deployment
- On-Premises
- Cloud
By Facility Size
- Small and Medium Sized Facilities
- Large Sized Facilities
By Business Function
- Finance
- Marketing & Sales
- Administrative
- Others
By Technologies
- Machine learning
- Artificial intelligence
- Internet of Things (IoT)
- Advanced Analytics
- Cloud
- Blockchain
- Others
By End-user
- Hospitals and Clinics
- Physician Practices
- Skilled Nursing Facilities
- Third-Party Healthcare Administrators
- Health Insurance Brokers
- Health Benefits Consultants
- Life science/ Pharma companies
- Others
By Region
- North America
- U.S
- Canada
- Mexico
- Rest of North America
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Sweden
- Norway
- Benelux Union
- Belgium
- The Netherlands
- Luxembourg
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
- Middle East and Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
1. Market Scope
1.1. Market
Segmentation
1.2. Years
Considered
1.2.1. Historic
Years: 2015 - 2020
1.2.2. Base
Year: 2021
1.2.3. Forecast
Years: 2022 – 2030
2. Key Target Audiences
3. Research Methodology
3.1. Primary
Research
3.1.1. Research
Questionnaire
3.1.2. Global
Percentage Breakdown
3.1.3. Primary
Interviews: Key Opinion Leaders (KOLs)
3.2. Secondary
Research
3.2.1. Paid
Databases
3.2.2. Secondary
Sources
3.3. Market
Size Estimates
3.3.1. Top-Down
Approach
3.3.2. Bottom-Up
Approach
3.4. Data
Triangulation Methodology
3.5. Research
Assumptions
4. Recommendations and Insights from AMI’s Perspective**
5. Holistic Overview of Data-driven Healthcare Market
6. Market Synopsis:
Data-driven Healthcare Market
7. Data-driven Healthcare Market Analysis: Qualitative
Perspective
7.1. Introduction
7.1.1. Product
Definition
7.1.2. Industry
Development
7.2. Market
Dynamics
7.2.1. Drivers
7.2.2. Restraints
7.2.3. Opportunities
7.3. Trends in
Data-driven Healthcare Market
7.4. Market
Determinants Radar Chart
7.5. Macro-Economic
and Micro-Economic Indicators: Data-driven Healthcare Market
7.6. Porter’s
Five Force Analysis
7.7. Impact of
Covid-19 on Data-driven Healthcare Market
8. Global Data-driven Healthcare Market Analysis and Forecasts, 2022
– 2030
8.1. Overview
8.1.1. Global
Data-driven Healthcare Market Revenue (US$ Mn)
8.2. Global
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Deployment
8.2.1. On-Premises
8.2.1.1. Definition
8.2.1.2. Market Estimation and Penetration, 2015 - 2021
8.2.1.3. Market Forecast, 2022 - 2030
8.2.1.4. Compound Annual Growth Rate (CAGR)
8.2.1.5. Regional Bifurcation
8.2.1.5.1. North America
8.2.1.5.1.1. Market
Estimation, 2015 - 2021
8.2.1.5.1.2. Market
Forecast, 2022 - 2030
8.2.1.5.2. Europe
8.2.1.5.2.1. Market
Estimation, 2015 - 2021
8.2.1.5.2.2. Market
Forecast, 2022 - 2030
8.2.1.5.3. Asia Pacific
8.2.1.5.3.1. Market
Estimation, 2015 - 2021
8.2.1.5.3.2. Market
Forecast, 2022 - 2030
8.2.1.5.4. Middle East and Africa
8.2.1.5.4.1. Market
Estimation, 2015 - 2021
8.2.1.5.4.2. Market
Forecast, 2022 - 2030
8.2.1.5.5. Latin America
8.2.1.5.5.1. Market
Estimation, 2015 - 2021
8.2.1.5.5.2. Market
Forecast, 2022 - 2030
8.2.2. Cloud
8.2.2.1. Definition
8.2.2.2. Market Estimation and Penetration, 2015 - 2021
8.2.2.3. Market Forecast, 2022 - 2030
8.2.2.4. Compound Annual Growth Rate (CAGR)
8.2.2.5. Regional Bifurcation
8.2.2.5.1. North America
8.2.2.5.1.1. Market
Estimation, 2015 - 2021
8.2.2.5.1.2. Market
Forecast, 2022 - 2030
8.2.2.5.2. Europe
8.2.2.5.2.1. Market
Estimation, 2015 - 2021
8.2.2.5.2.2. Market
Forecast, 2022 - 2030
8.2.2.5.3. Asia Pacific
8.2.2.5.3.1. Market
Estimation, 2015 - 2021
8.2.2.5.3.2. Market
Forecast, 2022 - 2030
8.2.2.5.4. Middle East and Africa
8.2.2.5.4.1. Market
Estimation, 2015 - 2021
8.2.2.5.4.2. Market
Forecast, 2022 - 2030
8.2.2.5.5. Latin America
8.2.2.5.5.1. Market
Estimation, 2015 - 2021
8.2.2.5.5.2. Market
Forecast, 2022 - 2030
8.3. Key
Segment for Channeling Investments
8.3.1. By
Deployment
9. Global Data-driven Healthcare Market Analysis and Forecasts, 2022
– 2030
9.1. Overview
9.2. Global
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Facility Size
9.2.1. Small
and Medium Sized Facilities
9.2.1.1. Definition
9.2.1.2. Market Estimation and Penetration, 2015 - 2021
9.2.1.3. Market Forecast, 2022 - 2030
9.2.1.4. Compound Annual Growth Rate (CAGR)
9.2.1.5. Regional Bifurcation
9.2.1.5.1. North America
9.2.1.5.1.1. Market
Estimation, 2015 - 2021
9.2.1.5.1.2. Market
Forecast, 2022 - 2030
9.2.1.5.2. Europe
9.2.1.5.2.1. Market
Estimation, 2015 - 2021
9.2.1.5.2.2. Market
Forecast, 2022 - 2030
9.2.1.5.3. Asia Pacific
9.2.1.5.3.1. Market
Estimation, 2015 - 2021
9.2.1.5.3.2. Market
Forecast, 2022 - 2030
9.2.1.5.4. Middle East and Africa
9.2.1.5.4.1. Market
Estimation, 2015 - 2021
9.2.1.5.4.2. Market
Forecast, 2022 - 2030
9.2.1.5.5. Latin America
9.2.1.5.5.1. Market
Estimation, 2015 - 2021
9.2.1.5.5.2. Market
Forecast, 2022 - 2030
9.2.2. Large
Sized Facilities
9.2.2.1. Definition
9.2.2.2. Market Estimation and Penetration, 2015 - 2021
9.2.2.3. Market Forecast, 2022 - 2030
9.2.2.4. Compound Annual Growth Rate (CAGR)
9.2.2.5. Regional Bifurcation
9.2.2.5.1. North America
9.2.2.5.1.1. Market
Estimation, 2015 - 2021
9.2.2.5.1.2. Market
Forecast, 2022 - 2030
9.2.2.5.2. Europe
9.2.2.5.2.1. Market
Estimation, 2015 - 2021
9.2.2.5.2.2. Market
Forecast, 2022 - 2030
9.2.2.5.3. Asia Pacific
9.2.2.5.3.1. Market
Estimation, 2015 - 2021
9.2.2.5.3.2. Market
Forecast, 2022 - 2030
9.2.2.5.4. Middle East and Africa
9.2.2.5.4.1. Market
Estimation, 2015 - 2021
9.2.2.5.4.2. Market
Forecast, 2022 - 2030
9.2.2.5.5. Latin America
9.2.2.5.5.1. Market
Estimation, 2015 - 2021
9.2.2.5.5.2. Market
Forecast, 2022 - 2030
9.3. Key
Segment for Channeling Investments
9.3.1. By
Facility Size
10. Global Data-driven Healthcare Market Analysis and Forecasts, 2022
– 2030
10.1. Overview
10.2. Global Data-driven
Healthcare Market Revenue (US$ Mn) and Forecasts, By Business Function
10.2.1. Finance
10.2.1.1. Definition
10.2.1.2. Market Estimation and Penetration, 2015 - 2021
10.2.1.3. Market Forecast, 2022 - 2030
10.2.1.4. Compound Annual Growth Rate (CAGR)
10.2.1.5. Regional Bifurcation
10.2.1.5.1. North America
10.2.1.5.1.1. Market
Estimation, 2015 - 2021
10.2.1.5.1.2. Market
Forecast, 2022 - 2030
10.2.1.5.2. Europe
10.2.1.5.2.1. Market
Estimation, 2015 - 2021
10.2.1.5.2.2. Market
Forecast, 2022 - 2030
10.2.1.5.3. Asia Pacific
10.2.1.5.3.1. Market
Estimation, 2015 - 2021
10.2.1.5.3.2. Market
Forecast, 2022 - 2030
10.2.1.5.4. Middle East and Africa
10.2.1.5.4.1. Market
Estimation, 2015 - 2021
10.2.1.5.4.2. Market
Forecast, 2022 - 2030
10.2.1.5.5. Latin America
10.2.1.5.5.1. Market
Estimation, 2015 - 2021
10.2.1.5.5.2. Market
Forecast, 2022 - 2030
10.2.2. Marketing
and Sales
10.2.2.1. Definition
10.2.2.2. Market Estimation and Penetration, 2015 - 2021
10.2.2.3. Market Forecast, 2022 - 2030
10.2.2.4. Compound Annual Growth Rate (CAGR)
10.2.2.5. Regional Bifurcation
10.2.2.5.1. North America
10.2.2.5.1.1. Market
Estimation, 2015 - 2021
10.2.2.5.1.2. Market
Forecast, 2022 - 2030
10.2.2.5.2. Europe
10.2.2.5.2.1. Market
Estimation, 2015 - 2021
10.2.2.5.2.2. Market
Forecast, 2022 - 2030
10.2.2.5.3. Asia Pacific
10.2.2.5.3.1. Market
Estimation, 2015 - 2021
10.2.2.5.3.2. Market
Forecast, 2022 - 2030
10.2.2.5.4. Middle East and Africa
10.2.2.5.4.1. Market
Estimation, 2015 - 2021
10.2.2.5.4.2. Market
Forecast, 2022 - 2030
10.2.2.5.5. Latin America
10.2.2.5.5.1. Market
Estimation, 2015 - 2021
10.2.2.5.5.2. Market
Forecast, 2022 - 2030
10.2.3. Administrative
10.2.3.1. Definition
10.2.3.2. Market Estimation and Penetration, 2015 - 2021
10.2.3.3. Market Forecast, 2022 - 2030
10.2.3.4. Compound Annual Growth Rate (CAGR)
10.2.3.5. Regional Bifurcation
10.2.3.5.1. North America
10.2.3.5.1.1. Market
Estimation, 2015 - 2021
10.2.3.5.1.2. Market
Forecast, 2022 - 2030
10.2.3.5.2. Europe
10.2.3.5.2.1. Market
Estimation, 2015 - 2021
10.2.3.5.2.2. Market
Forecast, 2022 - 2030
10.2.3.5.3. Asia Pacific
10.2.3.5.3.1. Market
Estimation, 2015 - 2021
10.2.3.5.3.2. Market
Forecast, 2022 - 2030
10.2.3.5.4. Middle East and Africa
10.2.3.5.4.1. Market
Estimation, 2015 - 2021
10.2.3.5.4.2. Market
Forecast, 2022 - 2030
10.2.3.5.5. Latin America
10.2.3.5.5.1. Market
Estimation, 2015 - 2021
10.2.3.5.5.2. Market
Forecast, 2022 - 2030
10.2.4. Others
10.2.4.1. Definition
10.2.4.2. Market Estimation and Penetration, 2015 - 2021
10.2.4.3. Market Forecast, 2022 - 2030
10.2.4.4. Compound Annual Growth Rate (CAGR)
10.2.4.5. Regional Bifurcation
10.2.4.5.1. North America
10.2.4.5.1.1. Market
Estimation, 2015 - 2021
10.2.4.5.1.2. Market
Forecast, 2022 - 2030
10.2.4.5.2. Europe
10.2.4.5.2.1. Market
Estimation, 2015 - 2021
10.2.4.5.2.2. Market
Forecast, 2022 - 2030
10.2.4.5.3. Asia Pacific
10.2.4.5.3.1. Market
Estimation, 2015 - 2021
10.2.4.5.3.2. Market
Forecast, 2022 - 2030
10.2.4.5.4. Middle East and Africa
10.2.4.5.4.1. Market
Estimation, 2015 - 2021
10.2.4.5.4.2. Market
Forecast, 2022 - 2030
10.2.4.5.5. Latin America
10.2.4.5.5.1. Market
Estimation, 2015 - 2021
10.2.4.5.5.2. Market
Forecast, 2022 - 2030
10.3. Key
Segment for Channeling Investments
10.3.1. By
Business Function
11. Global Data-driven Healthcare Market Analysis and Forecasts, 2022
– 2030
11.1. Overview
11.2. Global
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Technologies
11.2.1. Machine
learning
11.2.1.1. Definition
11.2.1.2. Market Estimation and Penetration, 2015 - 2021
11.2.1.3. Market Forecast, 2022 - 2030
11.2.1.4. Compound Annual Growth Rate (CAGR)
11.2.1.5. Regional Bifurcation
11.2.1.5.1. North America
11.2.1.5.1.1. Market
Estimation, 2015 - 2021
11.2.1.5.1.2. Market
Forecast, 2022 - 2030
11.2.1.5.2. Europe
11.2.1.5.2.1. Market
Estimation, 2015 - 2021
11.2.1.5.2.2. Market
Forecast, 2022 - 2030
11.2.1.5.3. Asia Pacific
11.2.1.5.3.1. Market
Estimation, 2015 - 2021
11.2.1.5.3.2. Market
Forecast, 2022 - 2030
11.2.1.5.4. Middle East and Africa
11.2.1.5.4.1. Market
Estimation, 2015 - 2021
11.2.1.5.4.2. Market
Forecast, 2022 - 2030
11.2.1.5.5. Latin America
11.2.1.5.5.1. Market
Estimation, 2015 - 2021
11.2.1.5.5.2. Market
Forecast, 2022 - 2030
11.2.2. Artificial
intelligence
11.2.2.1. Definition
11.2.2.2. Market Estimation and Penetration, 2015 - 2021
11.2.2.3. Market Forecast, 2022 - 2030
11.2.2.4. Compound Annual Growth Rate (CAGR)
11.2.2.5. Regional Bifurcation
11.2.2.5.1. North America
11.2.2.5.1.1. Market
Estimation, 2015 - 2021
11.2.2.5.1.2. Market
Forecast, 2022 - 2030
11.2.2.5.2. Europe
11.2.2.5.2.1. Market
Estimation, 2015 - 2021
11.2.2.5.2.2. Market
Forecast, 2022 - 2030
11.2.2.5.3. Asia Pacific
11.2.2.5.3.1. Market
Estimation, 2015 - 2021
11.2.2.5.3.2. Market
Forecast, 2022 - 2030
11.2.2.5.4. Middle East and Africa
11.2.2.5.4.1. Market
Estimation, 2015 - 2021
11.2.2.5.4.2. Market
Forecast, 2022 - 2030
11.2.2.5.5. Latin America
11.2.2.5.5.1. Market
Estimation, 2015 - 2021
11.2.2.5.5.2. Market
Forecast, 2022 - 2030
11.2.3. Internet
of Things (IoT)
11.2.3.1. Definition
11.2.3.2. Market Estimation and Penetration, 2015 - 2021
11.2.3.3. Market Forecast, 2022 - 2030
11.2.3.4. Compound Annual Growth Rate (CAGR)
11.2.3.5. Regional Bifurcation
11.2.3.5.1. North America
11.2.3.5.1.1. Market
Estimation, 2015 - 2021
11.2.3.5.1.2. Market
Forecast, 2022 - 2030
11.2.3.5.2. Europe
11.2.3.5.2.1. Market
Estimation, 2015 - 2021
11.2.3.5.2.2. Market
Forecast, 2022 - 2030
11.2.3.5.3. Asia Pacific
11.2.3.5.3.1. Market
Estimation, 2015 - 2021
11.2.3.5.3.2. Market
Forecast, 2022 - 2030
11.2.3.5.4. Middle East and Africa
11.2.3.5.4.1. Market
Estimation, 2015 - 2021
11.2.3.5.4.2. Market
Forecast, 2022 - 2030
11.2.3.5.5. Latin America
11.2.3.5.5.1. Market
Estimation, 2015 - 2021
11.2.3.5.5.2. Market
Forecast, 2022 - 2030
11.2.4. Advanced
Analytics
11.2.4.1. Definition
11.2.4.2. Market Estimation and Penetration, 2015 - 2021
11.2.4.3. Market Forecast, 2022 - 2030
11.2.4.4. Compound Annual Growth Rate (CAGR)
11.2.4.5. Regional Bifurcation
11.2.4.5.1. North America
11.2.4.5.1.1. Market
Estimation, 2015 - 2021
11.2.4.5.1.2. Market
Forecast, 2022 - 2030
11.2.4.5.2. Europe
11.2.4.5.2.1. Market
Estimation, 2015 - 2021
11.2.4.5.2.2. Market
Forecast, 2022 - 2030
11.2.4.5.3. Asia Pacific
11.2.4.5.3.1. Market
Estimation, 2015 - 2021
11.2.4.5.3.2. Market
Forecast, 2022 - 2030
11.2.4.5.4. Middle East and Africa
11.2.4.5.4.1. Market
Estimation, 2015 - 2021
11.2.4.5.4.2. Market
Forecast, 2022 - 2030
11.2.4.5.5. Latin America
11.2.4.5.5.1. Market
Estimation, 2015 - 2021
11.2.4.5.5.2. Market
Forecast, 2022 - 2030
11.2.5. Cloud
11.2.5.1. Definition
11.2.5.2. Market Estimation and Penetration, 2015 - 2021
11.2.5.3. Market Forecast, 2022 - 2030
11.2.5.4. Compound Annual Growth Rate (CAGR)
11.2.5.5. Regional Bifurcation
11.2.5.5.1. North America
11.2.5.5.1.1. Market
Estimation, 2015 - 2021
11.2.5.5.1.2. Market
Forecast, 2022 - 2030
11.2.5.5.2. Europe
11.2.5.5.2.1. Market
Estimation, 2015 - 2021
11.2.5.5.2.2. Market
Forecast, 2022 - 2030
11.2.5.5.3. Asia Pacific
11.2.5.5.3.1. Market
Estimation, 2015 - 2021
11.2.5.5.3.2. Market
Forecast, 2022 - 2030
11.2.5.5.4. Middle East and Africa
11.2.5.5.4.1. Market
Estimation, 2015 - 2021
11.2.5.5.4.2. Market
Forecast, 2022 - 2030
11.2.5.5.5. Latin America
11.2.5.5.5.1. Market
Estimation, 2015 - 2021
11.2.5.5.5.2. Market
Forecast, 2022 - 2030
11.2.6. Blockchain
11.2.6.1. Definition
11.2.6.2. Market Estimation and Penetration, 2015 - 2021
11.2.6.3. Market Forecast, 2022 - 2030
11.2.6.4. Compound Annual Growth Rate (CAGR)
11.2.6.5. Regional Bifurcation
11.2.6.5.1. North America
11.2.6.5.1.1. Market
Estimation, 2015 - 2021
11.2.6.5.1.2. Market
Forecast, 2022 - 2030
11.2.6.5.2. Europe
11.2.6.5.2.1. Market
Estimation, 2015 - 2021
11.2.6.5.2.2. Market
Forecast, 2022 - 2030
11.2.6.5.3. Asia Pacific
11.2.6.5.3.1. Market
Estimation, 2015 - 2021
11.2.6.5.3.2. Market
Forecast, 2022 - 2030
11.2.6.5.4. Middle East and Africa
11.2.6.5.4.1. Market
Estimation, 2015 - 2021
11.2.6.5.4.2. Market
Forecast, 2022 - 2030
11.2.6.5.5. Latin America
11.2.6.5.5.1. Market
Estimation, 2015 - 2021
11.2.6.5.5.2. Market
Forecast, 2022 - 2030
11.2.7. Others
11.2.7.1. Definition
11.2.7.2. Market Estimation and Penetration, 2015 - 2021
11.2.7.3. Market Forecast, 2022 - 2030
11.2.7.4. Compound Annual Growth Rate (CAGR)
11.2.7.5. Regional Bifurcation
11.2.7.5.1. North America
11.2.7.5.1.1. Market
Estimation, 2015 - 2021
11.2.7.5.1.2. Market
Forecast, 2022 - 2030
11.2.7.5.2. Europe
11.2.7.5.2.1. Market
Estimation, 2015 - 2021
11.2.7.5.2.2. Market
Forecast, 2022 - 2030
11.2.7.5.3. Asia Pacific
11.2.7.5.3.1. Market
Estimation, 2015 - 2021
11.2.7.5.3.2. Market
Forecast, 2022 - 2030
11.2.7.5.4. Middle East and Africa
11.2.7.5.4.1. Market
Estimation, 2015 - 2021
11.2.7.5.4.2. Market
Forecast, 2022 - 2030
11.2.7.5.5. Latin America
11.2.7.5.5.1. Market
Estimation, 2015 - 2021
11.2.7.5.5.2. Market
Forecast, 2022 - 2030
11.3. Key
Segment for Channeling Investments
11.3.1. By
Technologies
12. Global Data-driven Healthcare Market Analysis and Forecasts, 2022
– 2030
12.1. Overview
12.2. Global Data-driven
Healthcare Market Revenue (US$ Mn) and Forecasts, By End-User
12.2.1. Hospitals
and Clinics
12.2.1.1. Definition
12.2.1.2. Market Estimation and Penetration, 2015 - 2021
12.2.1.3. Market Forecast, 2022 - 2030
12.2.1.4. Compound Annual Growth Rate (CAGR)
12.2.1.5. Regional Bifurcation
12.2.1.5.1. North America
12.2.1.5.1.1. Market
Estimation, 2015 - 2021
12.2.1.5.1.2. Market
Forecast, 2022 - 2030
12.2.1.5.2. Europe
12.2.1.5.2.1. Market
Estimation, 2015 - 2021
12.2.1.5.2.2. Market
Forecast, 2022 - 2030
12.2.1.5.3. Asia Pacific
12.2.1.5.3.1. Market
Estimation, 2015 - 2021
12.2.1.5.3.2. Market
Forecast, 2022 - 2030
12.2.1.5.4. Middle East and Africa
12.2.1.5.4.1. Market
Estimation, 2015 - 2021
12.2.1.5.4.2. Market
Forecast, 2022 - 2030
12.2.1.5.5. Latin America
12.2.1.5.5.1. Market
Estimation, 2015 - 2021
12.2.1.5.5.2. Market
Forecast, 2022 - 2030
12.2.2. Physician
Practices
12.2.2.1. Definition
12.2.2.2. Market Estimation and Penetration, 2015 - 2021
12.2.2.3. Market Forecast, 2022 - 2030
12.2.2.4. Compound Annual Growth Rate (CAGR)
12.2.2.5. Regional Bifurcation
12.2.2.5.1. North America
12.2.2.5.1.1. Market
Estimation, 2015 - 2021
12.2.2.5.1.2. Market
Forecast, 2022 - 2030
12.2.2.5.2. Europe
12.2.2.5.2.1. Market
Estimation, 2015 - 2021
12.2.2.5.2.2. Market
Forecast, 2022 - 2030
12.2.2.5.3. Asia Pacific
12.2.2.5.3.1. Market
Estimation, 2015 - 2021
12.2.2.5.3.2. Market
Forecast, 2022 - 2030
12.2.2.5.4. Middle East and Africa
12.2.2.5.4.1. Market
Estimation, 2015 - 2021
12.2.2.5.4.2. Market
Forecast, 2022 - 2030
12.2.2.5.5. Latin America
12.2.2.5.5.1. Market
Estimation, 2015 - 2021
12.2.2.5.5.2. Market
Forecast, 2022 - 2030
12.2.3. Skilled
Nursing Facilities
12.2.3.1. Definition
12.2.3.2. Market Estimation and Penetration, 2015 - 2021
12.2.3.3. Market Forecast, 2022 - 2030
12.2.3.4. Compound Annual Growth Rate (CAGR)
12.2.3.5. Regional Bifurcation
12.2.3.5.1. North America
12.2.3.5.1.1. Market
Estimation, 2015 - 2021
12.2.3.5.1.2. Market
Forecast, 2022 - 2030
12.2.3.5.2. Europe
12.2.3.5.2.1. Market
Estimation, 2015 - 2021
12.2.3.5.2.2. Market
Forecast, 2022 - 2030
12.2.3.5.3. Asia Pacific
12.2.3.5.3.1. Market
Estimation, 2015 - 2021
12.2.3.5.3.2. Market
Forecast, 2022 - 2030
12.2.3.5.4. Middle East and Africa
12.2.3.5.4.1. Market
Estimation, 2015 - 2021
12.2.3.5.4.2. Market
Forecast, 2022 - 2030
12.2.3.5.5. Latin America
12.2.3.5.5.1. Market
Estimation, 2015 - 2021
12.2.3.5.5.2. Market
Forecast, 2022 - 2030
12.2.4. Third-Party
Healthcare Administrators
12.2.4.1. Definition
12.2.4.2. Market Estimation and Penetration, 2015 - 2021
12.2.4.3. Market Forecast, 2022 - 2030
12.2.4.4. Compound Annual Growth Rate (CAGR)
12.2.4.5. Regional Bifurcation
12.2.4.5.1. North America
12.2.4.5.1.1. Market
Estimation, 2015 - 2021
12.2.4.5.1.2. Market
Forecast, 2022 - 2030
12.2.4.5.2. Europe
12.2.4.5.2.1. Market
Estimation, 2015 - 2021
12.2.4.5.2.2. Market
Forecast, 2022 - 2030
12.2.4.5.3. Asia Pacific
12.2.4.5.3.1. Market
Estimation, 2015 - 2021
12.2.4.5.3.2. Market
Forecast, 2022 - 2030
12.2.4.5.4. Middle East and Africa
12.2.4.5.4.1. Market
Estimation, 2015 - 2021
12.2.4.5.4.2. Market
Forecast, 2022 - 2030
12.2.4.5.5. Latin America
12.2.4.5.5.1. Market
Estimation, 2015 - 2021
12.2.4.5.5.2. Market
Forecast, 2022 - 2030
12.2.5. Health
Benefits Consultants
12.2.5.1. Definition
12.2.5.2. Market Estimation and Penetration, 2015 - 2021
12.2.5.3. Market Forecast, 2022 - 2030
12.2.5.4. Compound Annual Growth Rate (CAGR)
12.2.5.5. Regional Bifurcation
12.2.5.5.1. North America
12.2.5.5.1.1. Market
Estimation, 2015 - 2021
12.2.5.5.1.2. Market
Forecast, 2022 - 2030
12.2.5.5.2. Europe
12.2.5.5.2.1. Market
Estimation, 2015 - 2021
12.2.5.5.2.2. Market
Forecast, 2022 - 2030
12.2.5.5.3. Asia Pacific
12.2.5.5.3.1. Market
Estimation, 2015 - 2021
12.2.5.5.3.2. Market
Forecast, 2022 - 2030
12.2.5.5.4. Middle East and Africa
12.2.5.5.4.1. Market
Estimation, 2015 - 2021
12.2.5.5.4.2. Market
Forecast, 2022 - 2030
12.2.5.5.5. Latin America
12.2.5.5.5.1. Market
Estimation, 2015 - 2021
12.2.5.5.5.2. Market
Forecast, 2022 - 2030
12.2.6. Health
Insurance Brokers
12.2.6.1. Definition
12.2.6.2. Market Estimation and Penetration, 2015 - 2021
12.2.6.3. Market Forecast, 2022 - 2030
12.2.6.4. Compound Annual Growth Rate (CAGR)
12.2.6.5. Regional Bifurcation
12.2.6.5.1. North America
12.2.6.5.1.1. Market
Estimation, 2015 - 2021
12.2.6.5.1.2. Market
Forecast, 2022 - 2030
12.2.6.5.2. Europe
12.2.6.5.2.1. Market
Estimation, 2015 - 2021
12.2.6.5.2.2. Market
Forecast, 2022 - 2030
12.2.6.5.3. Asia Pacific
12.2.6.5.3.1. Market
Estimation, 2015 - 2021
12.2.6.5.3.2. Market
Forecast, 2022 - 2030
12.2.6.5.4. Middle East and Africa
12.2.6.5.4.1. Market
Estimation, 2015 - 2021
12.2.6.5.4.2. Market
Forecast, 2022 - 2030
12.2.6.5.5. Latin America
12.2.6.5.5.1. Market
Estimation, 2015 - 2021
12.2.6.5.5.2. Market
Forecast, 2022 - 2030
12.2.7. Life
science/Pharma Companies
12.2.7.1. Definition
12.2.7.2. Market Estimation and Penetration, 2015 - 2021
12.2.7.3. Market Forecast, 2022 - 2030
12.2.7.4. Compound Annual Growth Rate (CAGR)
12.2.7.5. Regional Bifurcation
12.2.7.5.1. North America
12.2.7.5.1.1. Market
Estimation, 2015 - 2021
12.2.7.5.1.2. Market
Forecast, 2022 - 2030
12.2.7.5.2. Europe
12.2.7.5.2.1. Market
Estimation, 2015 - 2021
12.2.7.5.2.2. Market
Forecast, 2022 - 2030
12.2.7.5.3. Asia Pacific
12.2.7.5.3.1. Market
Estimation, 2015 - 2021
12.2.7.5.3.2. Market
Forecast, 2022 - 2030
12.2.7.5.4. Middle East and Africa
12.2.7.5.4.1. Market
Estimation, 2015 - 2021
12.2.7.5.4.2. Market
Forecast, 2022 - 2030
12.2.7.5.5. Latin America
12.2.7.5.5.1. Market
Estimation, 2015 - 2021
12.2.7.5.5.2. Market
Forecast, 2022 - 2030
12.2.8. Others
12.2.8.1. Definition
12.2.8.2. Market Estimation and Penetration, 2015 - 2021
12.2.8.3. Market Forecast, 2022 - 2030
12.2.8.4. Compound Annual Growth Rate (CAGR)
12.2.8.5. Regional Bifurcation
12.2.8.5.1. North America
12.2.8.5.1.1. Market
Estimation, 2015 - 2021
12.2.8.5.1.2. Market
Forecast, 2022 - 2030
12.2.8.5.2. Europe
12.2.8.5.2.1. Market
Estimation, 2015 - 2021
12.2.8.5.2.2. Market
Forecast, 2022 - 2030
12.2.8.5.3. Asia Pacific
12.2.8.5.3.1. Market
Estimation, 2015 - 2021
12.2.8.5.3.2. Market
Forecast, 2022 - 2030
12.2.8.5.4. Middle East and Africa
12.2.8.5.4.1. Market
Estimation, 2015 - 2021
12.2.8.5.4.2. Market
Forecast, 2022 - 2030
12.2.8.5.5. Latin America
12.2.8.5.5.1. Market
Estimation, 2015 - 2021
12.2.8.5.5.2. Market
Forecast, 2022 - 2030
12.3. Key
Segment for Channeling Investments
12.3.1. By
End-User
13. North America Data-driven Healthcare Market Analysis and
Forecasts, 2022 - 2030
13.1. Overview
13.1.1. North
America Data-driven Healthcare Market Revenue (US$ Mn)
13.2. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Deployment
13.2.1. On-Premises
13.2.2. Cloud
13.3. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Facility Size
13.3.1. Small
and Medium Sized Facilities
13.3.2. Large
Sized Facilities
13.4. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Business Function
13.4.1. Finance
13.4.2. Marketing
and Sales
13.4.3. Administrative
13.4.4. Others
13.5. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Technologies
13.5.1. Machine
learning
13.5.2. Artificial
intelligence
13.5.3. Internet
of Things (IoT)
13.5.4. Advanced
Analytics
13.5.5. Cloud
13.5.6. Blockchain
13.5.7. Others
13.6. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
End-User
13.6.1. Hospitals
and Clinics
13.6.2. Physician
Practices
13.6.3. Skilled
Nursing Facilities
13.6.4. Third-Party
Healthcare Administrators
13.6.5. Health
Benefits Consultants
13.6.6. Health
Insurance Brokers
13.6.7. Life
science/Pharma Companies
13.6.8. Others
13.7. North
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Country
13.7.1. U.S
13.7.1.1. U.S Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
13.7.1.1.1. On-Premises
13.7.1.1.2. Cloud
13.7.1.2. U.S Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
13.7.1.2.1. Small and Medium Sized Facilities
13.7.1.2.2. Large Sized Facilities
13.7.1.3. U.S Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
13.7.1.3.1. Finance
13.7.1.3.2. Marketing and Sales
13.7.1.3.3. Administrative
13.7.1.3.4. Others
13.7.1.4. U.S Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
13.7.1.4.1. Machine learning
13.7.1.4.2. Artificial intelligence
13.7.1.4.3. Internet of Things (IoT)
13.7.1.4.4. Advanced Analytics
13.7.1.4.5. Cloud
13.7.1.4.6. Blockchain
13.7.1.4.7. Others
13.7.1.5. U.S Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.1.5.1. Hospitals and Clinics
13.7.1.5.2. Physician Practices
13.7.1.5.3. Skilled Nursing Facilities
13.7.1.5.4. Third-Party Healthcare Administrators
13.7.1.5.5. Health Benefits Consultants
13.7.1.5.6. Health Insurance Brokers
13.7.1.5.7. Life science/Pharma Companies
13.7.1.5.8. Others
13.7.2. Canada
13.7.2.1. Canada Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
13.7.2.1.1. On-Premises
13.7.2.1.2. Cloud
13.7.2.2. Canada Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
13.7.2.2.1. Small and Medium Sized Facilities
13.7.2.2.2. Large Sized Facilities
13.7.2.3. Canada Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
13.7.2.3.1. Finance
13.7.2.3.2. Marketing and Sales
13.7.2.3.3. Administrative
13.7.2.3.4. Others
13.7.2.4. Canada Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
13.7.2.4.1. Machine learning
13.7.2.4.2. Artificial intelligence
13.7.2.4.3. Internet of Things (IoT)
13.7.2.4.4. Advanced Analytics
13.7.2.4.5. Cloud
13.7.2.4.6. Blockchain
13.7.2.4.7. Others
13.7.2.5. Canada Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.2.5.1. Hospitals and Clinics
13.7.2.5.2. Physician Practices
13.7.2.5.3. Skilled Nursing Facilities
13.7.2.5.4. Third-Party Healthcare Administrators
13.7.2.5.5. Health Benefits Consultants
13.7.2.5.6. Health Insurance Brokers
13.7.2.5.7. Life science/Pharma Companies
13.7.2.5.8. Others
13.7.3. Mexico
13.7.3.1. Mexico Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
13.7.3.1.1. On-Premises
13.7.3.1.2. Cloud
13.7.3.2. Mexico Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
13.7.3.2.1. Small and Medium Sized Facilities
13.7.3.2.2. Large Sized Facilities
13.7.3.3. Mexico Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
13.7.3.3.1. Finance
13.7.3.3.2. Marketing and Sales
13.7.3.3.3. Administrative
13.7.3.3.4. Others
13.7.3.4. Mexico Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
13.7.3.4.1. Machine learning
13.7.3.4.2. Artificial intelligence
13.7.3.4.3. Internet of Things (IoT)
13.7.3.4.4. Advanced Analytics
13.7.3.4.5. Cloud
13.7.3.4.6. Blockchain
13.7.3.4.7. Others
13.7.3.5. Mexico Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
13.7.3.5.1. Hospitals and Clinics
13.7.3.5.2. Physician Practices
13.7.3.5.3. Skilled Nursing Facilities
13.7.3.5.4. Third-Party Healthcare Administrators
13.7.3.5.5. Health Benefits Consultants
13.7.3.5.6. Health Insurance Brokers
13.7.3.5.7. Life science/Pharma Companies
13.7.3.5.8. Others
13.7.4. Rest of
North America
13.7.4.1. Rest of North America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Deployment
13.7.4.1.1. On-Premises
13.7.4.1.2. Cloud
13.7.4.2. Rest of North America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Facility Size
13.7.4.2.1. Small and Medium Sized Facilities
13.7.4.2.2. Large Sized Facilities
13.7.4.3. Rest of North America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Business Function
13.7.4.3.1. Finance
13.7.4.3.2. Marketing and Sales
13.7.4.3.3. Administrative
13.7.4.3.4. Others
13.7.4.4. Rest of North America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Technologies
13.7.4.4.1. Machine learning
13.7.4.4.2. Artificial intelligence
13.7.4.4.3. Internet of Things (IoT)
13.7.4.4.4. Advanced Analytics
13.7.4.4.5. Cloud
13.7.4.4.6. Blockchain
13.7.4.4.7. Others
13.7.4.5. Rest of North America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By End-User
13.7.4.5.1. Hospitals and Clinics
13.7.4.5.2. Physician Practices
13.7.4.5.3. Skilled Nursing Facilities
13.7.4.5.4. Third-Party Healthcare Administrators
13.7.4.5.5. Health Benefits Consultants
13.7.4.5.6. Health Insurance Brokers
13.7.4.5.7. Life science/Pharma Companies
13.7.4.5.8. Others
13.8. Key
Segment for Channeling Investments
13.8.1. By
Country
13.8.2. By
Deployment
13.8.3. By
Facility Size
13.8.4. By
Business Function
13.8.5. By
Technologies
13.8.6. By
End-User
14. Europe Data-driven Healthcare Market Analysis and Forecasts,
2022 - 2030
14.1. Overview
14.1.1. Europe
Data-driven Healthcare Market Revenue (US$ Mn)
14.2. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Deployment
14.2.1. On-Premises
14.2.2. Cloud
14.3. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Facility Size
14.3.1. Small
and Medium Sized Facilities
14.3.2. Large
Sized Facilities
14.4. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Business
Function
14.4.1. Finance
14.4.2. Marketing
and Sales
14.4.3. Administrative
14.4.4. Others
14.5. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Technologies
14.5.1. Machine
learning
14.5.2. Artificial
intelligence
14.5.3. Internet
of Things (IoT)
14.5.4. Advanced
Analytics
14.5.5. Cloud
14.5.6. Blockchain
14.5.7. Others
14.6. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By End-User
14.6.1. Hospitals
and Clinics
14.6.2. Physician
Practices
14.6.3. Skilled
Nursing Facilities
14.6.4. Third-Party
Healthcare Administrators
14.6.5. Health
Benefits Consultants
14.6.6. Health
Insurance Brokers
14.6.7. Life
science/Pharma Companies
14.6.8. Others
14.7. Europe
Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By Country
14.7.1. France
14.7.1.1. France Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
14.7.1.1.1. On-Premises
14.7.1.1.2. Cloud
14.7.1.2. France Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
14.7.1.2.1. Small and Medium Sized Facilities
14.7.1.2.2. Large Sized Facilities
14.7.1.3. France Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
14.7.1.3.1. Finance
14.7.1.3.2. Marketing and Sales
14.7.1.3.3. Administrative
14.7.1.3.4. Others
14.7.1.4. France Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
14.7.1.4.1. Machine learning
14.7.1.4.2. Artificial intelligence
14.7.1.4.3. Internet of Things (IoT)
14.7.1.4.4. Advanced Analytics
14.7.1.4.5. Cloud
14.7.1.4.6. Blockchain
14.7.1.4.7. Others
14.7.1.5. France Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.1.5.1. Hospitals and Clinics
14.7.1.5.2. Physician Practices
14.7.1.5.3. Skilled Nursing Facilities
14.7.1.5.4. Third-Party Healthcare Administrators
14.7.1.5.5. Health Benefits Consultants
14.7.1.5.6. Health Insurance Brokers
14.7.1.5.7. Life science/Pharma Companies
14.7.1.5.8. Others
14.7.2. The UK
14.7.2.1. The UK Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
14.7.2.1.1. On-Premises
14.7.2.1.2. Cloud
14.7.2.2. The UK Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Facility Size
14.7.2.2.1. Small and Medium Sized Facilities
14.7.2.2.2. Large Sized Facilities
14.7.2.3. The UK Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
14.7.2.3.1. Finance
14.7.2.3.2. Marketing and Sales
14.7.2.3.3. Administrative
14.7.2.3.4. Others
14.7.2.4. The UK Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
14.7.2.4.1. Machine learning
14.7.2.4.2. Artificial intelligence
14.7.2.4.3. Internet of Things (IoT)
14.7.2.4.4. Advanced Analytics
14.7.2.4.5. Cloud
14.7.2.4.6. Blockchain
14.7.2.4.7. Others
14.7.2.5. The UK Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.2.5.1. Hospitals and Clinics
14.7.2.5.2. Physician Practices
14.7.2.5.3. Skilled Nursing Facilities
14.7.2.5.4. Third-Party Healthcare Administrators
14.7.2.5.5. Health Benefits Consultants
14.7.2.5.6. Health Insurance Brokers
14.7.2.5.7. Life science/Pharma Companies
14.7.2.5.8. Others
14.7.3. Spain
14.7.3.1. Spain Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
14.7.3.1.1. On-Premises
14.7.3.1.2. Cloud
14.7.3.2. Spain Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
14.7.3.2.1. Small and Medium Sized Facilities
14.7.3.2.2. Large Sized Facilities
14.7.3.3. Spain Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
14.7.3.3.1. Finance
14.7.3.3.2. Marketing and Sales
14.7.3.3.3. Administrative
14.7.3.3.4. Others
14.7.3.4. Spain Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
14.7.3.4.1. Machine learning
14.7.3.4.2. Artificial intelligence
14.7.3.4.3. Internet of Things (IoT)
14.7.3.4.4. Advanced Analytics
14.7.3.4.5. Cloud
14.7.3.4.6. Blockchain
14.7.3.4.7. Others
14.7.3.5. Spain Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.3.5.1. Hospitals and Clinics
14.7.3.5.2. Physician Practices
14.7.3.5.3. Skilled Nursing Facilities
14.7.3.5.4. Third-Party Healthcare Administrators
14.7.3.5.5. Health Benefits Consultants
14.7.3.5.6. Health Insurance Brokers
14.7.3.5.7. Life science/Pharma Companies
14.7.3.5.8. Others
14.7.4. Germany
14.7.4.1. Germany Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
14.7.4.1.1. On-Premises
14.7.4.1.2. Cloud
14.7.4.2. Germany Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
14.7.4.2.1. Small and Medium Sized Facilities
14.7.4.2.2. Large Sized Facilities
14.7.4.3. Germany Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
14.7.4.3.1. Finance
14.7.4.3.2. Marketing and Sales
14.7.4.3.3. Administrative
14.7.4.3.4. Others
14.7.4.4. Germany Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
14.7.4.4.1. Machine learning
14.7.4.4.2. Artificial intelligence
14.7.4.4.3. Internet of Things (IoT)
14.7.4.4.4. Advanced Analytics
14.7.4.4.5. Cloud
14.7.4.4.6. Blockchain
14.7.4.4.7. Others
14.7.4.5. Germany Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.4.5.1. Hospitals and Clinics
14.7.4.5.2. Physician Practices
14.7.4.5.3. Skilled Nursing Facilities
14.7.4.5.4. Third-Party Healthcare Administrators
14.7.4.5.5. Health Benefits Consultants
14.7.4.5.6. Health Insurance Brokers
14.7.4.5.7. Life science/Pharma Companies
14.7.4.5.8. Others
14.7.5. Italy
14.7.5.1. Italy Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
14.7.5.1.1. On-Premises
14.7.5.1.2. Cloud
14.7.5.2. Italy Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
14.7.5.2.1. Small and Medium Sized Facilities
14.7.5.2.2. Large Sized Facilities
14.7.5.3. Italy Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
14.7.5.3.1. Finance
14.7.5.3.2. Marketing and Sales
14.7.5.3.3. Administrative
14.7.5.3.4. Others
14.7.5.4. Italy Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
14.7.5.4.1. Machine learning
14.7.5.4.2. Artificial intelligence
14.7.5.4.3. Internet of Things (IoT)
14.7.5.4.4. Advanced Analytics
14.7.5.4.5. Cloud
14.7.5.4.6. Blockchain
14.7.5.4.7. Others
14.7.5.5. Italy Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
14.7.5.5.1. Hospitals and Clinics
14.7.5.5.2. Physician Practices
14.7.5.5.3. Skilled Nursing Facilities
14.7.5.5.4. Third-Party Healthcare Administrators
14.7.5.5.5. Health Benefits Consultants
14.7.5.5.6. Health Insurance Brokers
14.7.5.5.7. Life science/Pharma Companies
14.7.5.5.8. Others
14.7.6. Nordic
Countries
14.7.6.1. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By Deployment
14.7.6.1.1. On-Premises
14.7.6.1.2. Cloud
14.7.6.2. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By Facility Size
14.7.6.2.1. Small and Medium Sized Facilities
14.7.6.2.2. Large Sized Facilities
14.7.6.3. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By Business Function
14.7.6.3.1. Finance
14.7.6.3.2. Marketing and Sales
14.7.6.3.3. Administrative
14.7.6.3.4. Others
14.7.6.4. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By Technologies
14.7.6.4.1. Machine learning
14.7.6.4.2. Artificial intelligence
14.7.6.4.3. Internet of Things (IoT)
14.7.6.4.4. Advanced Analytics
14.7.6.4.5. Cloud
14.7.6.4.6. Blockchain
14.7.6.4.7. Others
14.7.6.5. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By End-User
14.7.6.5.1. Hospitals and Clinics
14.7.6.5.2. Physician Practices
14.7.6.5.3. Skilled Nursing Facilities
14.7.6.5.4. Third-Party Healthcare Administrators
14.7.6.5.5. Health Benefits Consultants
14.7.6.5.6. Health Insurance Brokers
14.7.6.5.7. Life science/Pharma Companies
14.7.6.5.8. Others
14.7.6.6. Nordic Countries Data-driven Healthcare Market Revenue (US$
Mn) and Forecasts, By Country
14.7.6.6.1. Denmark
14.7.6.6.2. Finland
14.7.6.6.3. Iceland
14.7.6.6.4. Sweden
14.7.6.6.5. Norway
14.7.7. Benelux
Union
14.7.7.1. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Deployment
14.7.7.1.1. On-Premises
14.7.7.1.2. Cloud
14.7.7.2. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Facility Size
14.7.7.2.1. Small and Medium Sized Facilities
14.7.7.2.2. Large Sized Facilities
14.7.7.3. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Business Function
14.7.7.3.1. Finance
14.7.7.3.2. Marketing and Sales
14.7.7.3.3. Administrative
14.7.7.3.4. Others
14.7.7.4. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Technologies
14.7.7.4.1. Machine learning
14.7.7.4.2. Artificial intelligence
14.7.7.4.3. Internet of Things (IoT)
14.7.7.4.4. Advanced Analytics
14.7.7.4.5. Cloud
14.7.7.4.6. Blockchain
14.7.7.4.7. Others
14.7.7.5. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By End-User
14.7.7.5.1. Hospitals and Clinics
14.7.7.5.2. Physician Practices
14.7.7.5.3. Skilled Nursing Facilities
14.7.7.5.4. Third-Party Healthcare Administrators
14.7.7.5.5. Health Benefits Consultants
14.7.7.5.6. Health Insurance Brokers
14.7.7.5.7. Life science/Pharma Companies
14.7.7.5.8. Others
14.7.7.6. Benelux Union Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Country
14.7.7.6.1. Belgium
14.7.7.6.2. The Netherlands
14.7.7.6.3. Luxembourg
14.7.8. Rest of
Europe
14.7.8.1. Rest of Europe Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Deployment
14.7.8.1.1. On-Premises
14.7.8.1.2. Cloud
14.7.8.2. Rest of Europe Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Facility Size
14.7.8.2.1. Small and Medium Sized Facilities
14.7.8.2.2. Large Sized Facilities
14.7.8.3. Rest of Europe Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Business Function
14.7.8.3.1. Finance
14.7.8.3.2. Marketing and Sales
14.7.8.3.3. Administrative
14.7.8.3.4. Others
14.7.8.4. Rest of Europe Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Technologies
14.7.8.4.1. Machine learning
14.7.8.4.2. Artificial intelligence
14.7.8.4.3. Internet of Things (IoT)
14.7.8.4.4. Advanced Analytics
14.7.8.4.5. Cloud
14.7.8.4.6. Blockchain
14.7.8.4.7. Others
14.7.8.5. Rest of Europe Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By End-User
14.7.8.5.1. Hospitals and Clinics
14.7.8.5.2. Physician Practices
14.7.8.5.3. Skilled Nursing Facilities
14.7.8.5.4. Third-Party Healthcare Administrators
14.7.8.5.5. Health Benefits Consultants
14.7.8.5.6. Health Insurance Brokers
14.7.8.5.7. Life science/Pharma Companies
14.7.8.5.8. Others
14.8. Key
Segment for Channeling Investments
14.8.1. By
Country
14.8.2. By
Deployment
14.8.3. By
Facility Size
14.8.4. By
Business Function
14.8.5. By
Technologies
14.8.6. By
End-User
15. Asia Pacific Data-driven Healthcare Market Analysis and
Forecasts, 2022 - 2030
15.1. Overview
15.1.1. Asia Pacific
Data-driven Healthcare Market Revenue (US$ Mn)
15.2. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Deployment
15.2.1. On-Premises
15.2.2. Cloud
15.3. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Facility Size
15.3.1. Small
and Medium Sized Facilities
15.3.2. Large
Sized Facilities
15.4. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Business Function
15.4.1. Finance
15.4.2. Marketing
and Sales
15.4.3. Administrative
15.4.4. Others
15.5. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Technologies
15.5.1. Machine
learning
15.5.2. Artificial
intelligence
15.5.3. Internet
of Things (IoT)
15.5.4. Advanced
Analytics
15.5.5. Cloud
15.5.6. Blockchain
15.5.7. Others
15.6. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
End-User
15.6.1. Hospitals
and Clinics
15.6.2. Physician
Practices
15.6.3. Skilled
Nursing Facilities
15.6.4. Third-Party
Healthcare Administrators
15.6.5. Health
Benefits Consultants
15.6.6. Health
Insurance Brokers
15.6.7. Life
science/Pharma Companies
15.6.8. Others
15.7. Asia
Pacific Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Country
15.7.1. China
15.7.1.1. China Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.1.1.1. On-Premises
15.7.1.1.2. Cloud
15.7.1.2. China Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.1.2.1. Small and Medium Sized Facilities
15.7.1.2.2. Large Sized Facilities
15.7.1.3. China Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.1.3.1. Finance
15.7.1.3.2. Marketing and Sales
15.7.1.3.3. Administrative
15.7.1.3.4. Others
15.7.1.4. China Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.1.4.1. Machine learning
15.7.1.4.2. Artificial intelligence
15.7.1.4.3. Internet of Things (IoT)
15.7.1.4.4. Advanced Analytics
15.7.1.4.5. Cloud
15.7.1.4.6. Blockchain
15.7.1.4.7. Others
15.7.1.5. China Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.1.5.1. Hospitals and Clinics
15.7.1.5.2. Physician Practices
15.7.1.5.3. Skilled Nursing Facilities
15.7.1.5.4. Third-Party Healthcare Administrators
15.7.1.5.5. Health Benefits Consultants
15.7.1.5.6. Health Insurance Brokers
15.7.1.5.7. Life science/Pharma Companies
15.7.1.5.8. Others
15.7.2. Japan
15.7.2.1. Japan Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.2.1.1. On-Premises
15.7.2.1.2. Cloud
15.7.2.2. Japan Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.2.2.1. Small and Medium Sized Facilities
15.7.2.2.2. Large Sized Facilities
15.7.2.3. Japan Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.2.3.1. Finance
15.7.2.3.2. Marketing and Sales
15.7.2.3.3. Administrative
15.7.2.3.4. Others
15.7.2.4. Japan Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.2.4.1. Machine learning
15.7.2.4.2. Artificial intelligence
15.7.2.4.3. Internet of Things (IoT)
15.7.2.4.4. Advanced Analytics
15.7.2.4.5. Cloud
15.7.2.4.6. Blockchain
15.7.2.4.7. Others
15.7.2.5. Japan Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.2.5.1. Hospitals and Clinics
15.7.2.5.2. Physician Practices
15.7.2.5.3. Skilled Nursing Facilities
15.7.2.5.4. Third-Party Healthcare Administrators
15.7.2.5.5. Health Benefits Consultants
15.7.2.5.6. Health Insurance Brokers
15.7.2.5.7. Life science/Pharma Companies
15.7.2.5.8. Others
15.7.3. India
15.7.3.1. India Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.3.1.1. On-Premises
15.7.3.1.2. Cloud
15.7.3.2. India Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.3.2.1. Small and Medium Sized Facilities
15.7.3.2.2. Large Sized Facilities
15.7.3.3. India Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.3.3.1. Finance
15.7.3.3.2. Marketing and Sales
15.7.3.3.3. Administrative
15.7.3.3.4. Others
15.7.3.4. India Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.3.4.1. Machine learning
15.7.3.4.2. Artificial intelligence
15.7.3.4.3. Internet of Things (IoT)
15.7.3.4.4. Advanced Analytics
15.7.3.4.5. Cloud
15.7.3.4.6. Blockchain
15.7.3.4.7. Others
15.7.3.5. India Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.3.5.1. Hospitals and Clinics
15.7.3.5.2. Physician Practices
15.7.3.5.3. Skilled Nursing Facilities
15.7.3.5.4. Third-Party Healthcare Administrators
15.7.3.5.5. Health Benefits Consultants
15.7.3.5.6. Health Insurance Brokers
15.7.3.5.7. Life science/Pharma Companies
15.7.3.5.8. Others
15.7.4. New
Zealand
15.7.4.1. New Zealand Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.4.1.1. On-Premises
15.7.4.1.2. Cloud
15.7.4.2. New Zealand Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.4.2.1. Small and Medium Sized Facilities
15.7.4.2.2. Large Sized Facilities
15.7.4.3. New Zealand Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.4.3.1. Finance
15.7.4.3.2. Marketing and Sales
15.7.4.3.3. Administrative
15.7.4.3.4. Others
15.7.4.4. New Zealand Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.4.4.1. Machine learning
15.7.4.4.2. Artificial intelligence
15.7.4.4.3. Internet of Things (IoT)
15.7.4.4.4. Advanced Analytics
15.7.4.4.5. Cloud
15.7.4.4.6. Blockchain
15.7.4.4.7. Others
15.7.4.5. New Zealand Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.4.5.1. Hospitals and Clinics
15.7.4.5.2. Physician Practices
15.7.4.5.3. Skilled Nursing Facilities
15.7.4.5.4. Third-Party Healthcare Administrators
15.7.4.5.5. Health Benefits Consultants
15.7.4.5.6. Health Insurance Brokers
15.7.4.5.7. Life science/Pharma Companies
15.7.4.5.8. Others
15.7.5. Australia
15.7.5.1. Australia Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.5.1.1. On-Premises
15.7.5.1.2. Cloud
15.7.5.2. Australia Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.5.2.1. Small and Medium Sized Facilities
15.7.5.2.2. Large Sized Facilities
15.7.5.3. Australia Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.5.3.1. Finance
15.7.5.3.2. Marketing and Sales
15.7.5.3.3. Administrative
15.7.5.3.4. Others
15.7.5.4. Australia Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.5.4.1. Machine learning
15.7.5.4.2. Artificial intelligence
15.7.5.4.3. Internet of Things (IoT)
15.7.5.4.4. Advanced Analytics
15.7.5.4.5. Cloud
15.7.5.4.6. Blockchain
15.7.5.4.7. Others
15.7.5.5. Australia Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.5.5.1. Hospitals and Clinics
15.7.5.5.2. Physician Practices
15.7.5.5.3. Skilled Nursing Facilities
15.7.5.5.4. Third-Party Healthcare Administrators
15.7.5.5.5. Health Benefits Consultants
15.7.5.5.6. Health Insurance Brokers
15.7.5.5.7. Life science/Pharma Companies
15.7.5.5.8. Others
15.7.6. South
Korea
15.7.6.1. South Korea Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
15.7.6.1.1. On-Premises
15.7.6.1.2. Cloud
15.7.6.2. South Korea Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
15.7.6.2.1. Small and Medium Sized Facilities
15.7.6.2.2. Large Sized Facilities
15.7.6.3. South Korea Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
15.7.6.3.1. Finance
15.7.6.3.2. Marketing and Sales
15.7.6.3.3. Administrative
15.7.6.3.4. Others
15.7.6.4. South Korea Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
15.7.6.4.1. Machine learning
15.7.6.4.2. Artificial intelligence
15.7.6.4.3. Internet of Things (IoT)
15.7.6.4.4. Advanced Analytics
15.7.6.4.5. Cloud
15.7.6.4.6. Blockchain
15.7.6.4.7. Others
15.7.6.5. South Korea Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
15.7.6.5.1. Hospitals and Clinics
15.7.6.5.2. Physician Practices
15.7.6.5.3. Skilled Nursing Facilities
15.7.6.5.4. Third-Party Healthcare Administrators
15.7.6.5.5. Health Benefits Consultants
15.7.6.5.6. Health Insurance Brokers
15.7.6.5.7. Life science/Pharma Companies
15.7.6.5.8. Others
15.7.7. Southeast
Asia
15.7.7.1. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Deployment
15.7.7.1.1. On-Premises
15.7.7.1.2. Cloud
15.7.7.2. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Facility Size
15.7.7.2.1. Small and Medium Sized Facilities
15.7.7.2.2. Large Sized Facilities
15.7.7.3. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Business Function
15.7.7.3.1. Finance
15.7.7.3.2. Marketing and Sales
15.7.7.3.3. Administrative
15.7.7.3.4. Others
15.7.7.4. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Technologies
15.7.7.4.1. Machine learning
15.7.7.4.2. Artificial intelligence
15.7.7.4.3. Internet of Things (IoT)
15.7.7.4.4. Advanced Analytics
15.7.7.4.5. Cloud
15.7.7.4.6. Blockchain
15.7.7.4.7. Others
15.7.7.5. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By End-User
15.7.7.5.1. Hospitals and Clinics
15.7.7.5.2. Physician Practices
15.7.7.5.3. Skilled Nursing Facilities
15.7.7.5.4. Third-Party Healthcare Administrators
15.7.7.5.5. Health Benefits Consultants
15.7.7.5.6. Health Insurance Brokers
15.7.7.5.7. Life science/Pharma Companies
15.7.7.5.8. Others
15.7.7.6. Southeast Asia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Country
15.7.7.6.1. Indonesia
15.7.7.6.2. Thailand
15.7.7.6.3. Malaysia
15.7.7.6.4. Singapore
15.7.7.6.5. Rest of Southeast Asia
15.7.8. Rest of
Asia Pacific
15.7.8.1. Rest of Asia Pacific Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Deployment
15.7.8.1.1. On-Premises
15.7.8.1.2. Cloud
15.7.8.2. Rest of Asia Pacific Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Facility Size
15.7.8.2.1. Small and Medium Sized Facilities
15.7.8.2.2. Large Sized Facilities
15.7.8.3. Rest of Asia Pacific Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Business Function
15.7.8.3.1. Finance
15.7.8.3.2. Marketing and Sales
15.7.8.3.3. Administrative
15.7.8.3.4. Others
15.7.8.4. Rest of Asia Pacific Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Technologies
15.7.8.4.1. Machine learning
15.7.8.4.2. Artificial intelligence
15.7.8.4.3. Internet of Things (IoT)
15.7.8.4.4. Advanced Analytics
15.7.8.4.5. Cloud
15.7.8.4.6. Blockchain
15.7.8.4.7. Others
15.7.8.5. Rest of Asia Pacific Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By End-User
15.7.8.5.1. Hospitals and Clinics
15.7.8.5.2. Physician Practices
15.7.8.5.3. Skilled Nursing Facilities
15.7.8.5.4. Third-Party Healthcare Administrators
15.7.8.5.5. Health Benefits Consultants
15.7.8.5.6. Health Insurance Brokers
15.7.8.5.7. Life science/Pharma Companies
15.7.8.5.8. Others
15.8. Key
Segment for Channeling Investments
15.8.1. By
Country
15.8.2. By
Deployment
15.8.3. By
Facility Size
15.8.4. By
Business Function
15.8.5. By
Technologies
15.8.6. By
End-User
16. Middle East and Africa Data-driven Healthcare Market Analysis
and Forecasts, 2022 - 2030
16.1. Overview
16.1.1. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn)
16.2. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Deployment
16.2.1. On-Premises
16.2.2. Cloud
16.3. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Facility Size
16.3.1. Small
and Medium Sized Facilities
16.3.2. Large
Sized Facilities
16.4. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Business Function
16.4.1. Finance
16.4.2. Marketing
and Sales
16.4.3. Administrative
16.4.4. Others
16.5. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Technologies
16.5.1. Machine
learning
16.5.2. Artificial
intelligence
16.5.3. Internet
of Things (IoT)
16.5.4. Advanced
Analytics
16.5.5. Cloud
16.5.6. Blockchain
16.5.7. Others
16.6. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By End-User
16.6.1. Hospitals
and Clinics
16.6.2. Physician
Practices
16.6.3. Skilled
Nursing Facilities
16.6.4. Third-Party
Healthcare Administrators
16.6.5. Health
Benefits Consultants
16.6.6. Health Insurance
Brokers
16.6.7. Life
science/Pharma Companies
16.6.8. Others
16.7. Middle
East and Africa Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts,
By Country
16.7.1. Saudi
Arabia
16.7.1.1. Saudi Arabia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Deployment
16.7.1.1.1. On-Premises
16.7.1.1.2. Cloud
16.7.1.2. Saudi Arabia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Facility Size
16.7.1.2.1. Small and Medium Sized Facilities
16.7.1.2.2. Large Sized Facilities
16.7.1.3. Saudi Arabia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Business Function
16.7.1.3.1. Finance
16.7.1.3.2. Marketing and Sales
16.7.1.3.3. Administrative
16.7.1.3.4. Others
16.7.1.4. Saudi Arabia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Technologies
16.7.1.4.1. Machine learning
16.7.1.4.2. Artificial intelligence
16.7.1.4.3. Internet of Things (IoT)
16.7.1.4.4. Advanced Analytics
16.7.1.4.5. Cloud
16.7.1.4.6. Blockchain
16.7.1.4.7. Others
16.7.1.5. Saudi Arabia Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By End-User
16.7.1.5.1. Hospitals and Clinics
16.7.1.5.2. Physician Practices
16.7.1.5.3. Skilled Nursing Facilities
16.7.1.5.4. Third-Party Healthcare Administrators
16.7.1.5.5. Health Benefits Consultants
16.7.1.5.6. Health Insurance Brokers
16.7.1.5.7. Life science/Pharma Companies
16.7.1.5.8. Others
16.7.2. UAE
16.7.2.1. UAE Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
16.7.2.1.1. On-Premises
16.7.2.1.2. Cloud
16.7.2.2. UAE Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
16.7.2.2.1. Small and Medium Sized Facilities
16.7.2.2.2. Large Sized Facilities
16.7.2.3. UAE Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
16.7.2.3.1. Finance
16.7.2.3.2. Marketing and Sales
16.7.2.3.3. Administrative
16.7.2.3.4. Others
16.7.2.4. UAE Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
16.7.2.4.1. Machine learning
16.7.2.4.2. Artificial intelligence
16.7.2.4.3. Internet of Things (IoT)
16.7.2.4.4. Advanced Analytics
16.7.2.4.5. Cloud
16.7.2.4.6. Blockchain
16.7.2.4.7. Others
16.7.2.5. UAE Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.2.5.1. Hospitals and Clinics
16.7.2.5.2. Physician Practices
16.7.2.5.3. Skilled Nursing Facilities
16.7.2.5.4. Third-Party Healthcare Administrators
16.7.2.5.5. Health Benefits Consultants
16.7.2.5.6. Health Insurance Brokers
16.7.2.5.7. Life science/Pharma Companies
16.7.2.5.8. Others
16.7.3. Egypt
16.7.3.1. Egypt Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
16.7.3.1.1. On-Premises
16.7.3.1.2. Cloud
16.7.3.2. Egypt Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
16.7.3.2.1. Small and Medium Sized Facilities
16.7.3.2.2. Large Sized Facilities
16.7.3.3. Egypt Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
16.7.3.3.1. Finance
16.7.3.3.2. Marketing and Sales
16.7.3.3.3. Administrative
16.7.3.3.4. Others
16.7.3.4. Egypt Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
16.7.3.4.1. Machine learning
16.7.3.4.2. Artificial intelligence
16.7.3.4.3. Internet of Things (IoT)
16.7.3.4.4. Advanced Analytics
16.7.3.4.5. Cloud
16.7.3.4.6. Blockchain
16.7.3.4.7. Others
16.7.3.5. Egypt Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.3.5.1. Hospitals and Clinics
16.7.3.5.2. Physician Practices
16.7.3.5.3. Skilled Nursing Facilities
16.7.3.5.4. Third-Party Healthcare Administrators
16.7.3.5.5. Health Benefits Consultants
16.7.3.5.6. Health Insurance Brokers
16.7.3.5.7. Life science/Pharma Companies
16.7.3.5.8. Others
16.7.4. Kuwait
16.7.4.1. Kuwait Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
16.7.4.1.1. On-Premises
16.7.4.1.2. Cloud
16.7.4.2. Kuwait Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
16.7.4.2.1. Small and Medium Sized Facilities
16.7.4.2.2. Large Sized Facilities
16.7.4.3. Kuwait Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
16.7.4.3.1. Finance
16.7.4.3.2. Marketing and Sales
16.7.4.3.3. Administrative
16.7.4.3.4. Others
16.7.4.4. Kuwait Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
16.7.4.4.1. Machine learning
16.7.4.4.2. Artificial intelligence
16.7.4.4.3. Internet of Things (IoT)
16.7.4.4.4. Advanced Analytics
16.7.4.4.5. Cloud
16.7.4.4.6. Blockchain
16.7.4.4.7. Others
16.7.4.5. Kuwait Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
16.7.4.5.1. Hospitals and Clinics
16.7.4.5.2. Physician Practices
16.7.4.5.3. Skilled Nursing Facilities
16.7.4.5.4. Third-Party Healthcare Administrators
16.7.4.5.5. Health Benefits Consultants
16.7.4.5.6. Health Insurance Brokers
16.7.4.5.7. Life science/Pharma Companies
16.7.4.5.8. Others
16.7.5. South
Africa
16.7.5.1. South Africa Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Deployment
16.7.5.1.1. On-Premises
16.7.5.1.2. Cloud
16.7.5.2. South Africa Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Facility Size
16.7.5.2.1. Small and Medium Sized Facilities
16.7.5.2.2. Large Sized Facilities
16.7.5.3. South Africa Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Business Function
16.7.5.3.1. Finance
16.7.5.3.2. Marketing and Sales
16.7.5.3.3. Administrative
16.7.5.3.4. Others
16.7.5.4. South Africa Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By Technologies
16.7.5.4.1. Machine learning
16.7.5.4.2. Artificial intelligence
16.7.5.4.3. Internet of Things (IoT)
16.7.5.4.4. Advanced Analytics
16.7.5.4.5. Cloud
16.7.5.4.6. Blockchain
16.7.5.4.7. Others
16.7.5.5. South Africa Data-driven Healthcare Market Revenue (US$ Mn)
and Forecasts, By End-User
16.7.5.5.1. Hospitals and Clinics
16.7.5.5.2. Physician Practices
16.7.5.5.3. Skilled Nursing Facilities
16.7.5.5.4. Third-Party Healthcare Administrators
16.7.5.5.5. Health Benefits Consultants
16.7.5.5.6. Health Insurance Brokers
16.7.5.5.7. Life science/Pharma Companies
16.7.5.5.8. Others
16.7.6. Rest of
Middle East & Africa
16.7.6.1. Rest of Middle East & Africa Data-driven Healthcare Market
Revenue (US$ Mn) and Forecasts, By Deployment
16.7.6.1.1. On-Premises
16.7.6.1.2. Cloud
16.7.6.2. Rest of Middle East & Africa Data-driven Healthcare Market
Revenue (US$ Mn) and Forecasts, By Facility Size
16.7.6.2.1. Small and Medium Sized Facilities
16.7.6.2.2. Large Sized Facilities
16.7.6.3. Rest of Middle East & Africa Data-driven Healthcare Market
Revenue (US$ Mn) and Forecasts, By Business Function
16.7.6.3.1. Finance
16.7.6.3.2. Marketing and Sales
16.7.6.3.3. Administrative
16.7.6.3.4. Others
16.7.6.4. Rest of Middle East & Africa Data-driven Healthcare Market
Revenue (US$ Mn) and Forecasts, By Technologies
16.7.6.4.1. Machine learning
16.7.6.4.2. Artificial intelligence
16.7.6.4.3. Internet of Things (IoT)
16.7.6.4.4. Advanced Analytics
16.7.6.4.5. Cloud
16.7.6.4.6. Blockchain
16.7.6.4.7. Others
16.7.6.5. Rest of Middle East & Africa Data-driven Healthcare Market
Revenue (US$ Mn) and Forecasts, By End-User
16.7.6.5.1. Hospitals and Clinics
16.7.6.5.2. Physician Practices
16.7.6.5.3. Skilled Nursing Facilities
16.7.6.5.4. Third-Party Healthcare Administrators
16.7.6.5.5. Health Benefits Consultants
16.7.6.5.6. Health Insurance Brokers
16.7.6.5.7. Life science/Pharma Companies
16.7.6.5.8. Others
16.8. Key
Segment for Channeling Investments
16.8.1. By
Country
16.8.2. By
Deployment
16.8.3. By
Facility Size
16.8.4. By
Business Function
16.8.5. By
Technologies
16.8.6. By
End-User
17. Latin America Data-driven Healthcare Market Analysis and
Forecasts, 2022 - 2030
17.1. Overview
17.1.1. Latin
America Data-driven Healthcare Market Revenue (US$ Mn)
17.2. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Deployment
17.2.1. On-Premises
17.2.2. Cloud
17.3. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Facility Size
17.3.1. Small
and Medium Sized Facilities
17.3.2. Large
Sized Facilities
17.4. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Business Function
17.4.1. Finance
17.4.2. Marketing
and Sales
17.4.3. Administrative
17.4.4. Others
17.5. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Technologies
17.5.1. Machine
learning
17.5.2. Artificial
intelligence
17.5.3. Internet
of Things (IoT)
17.5.4. Advanced
Analytics
17.5.5. Cloud
17.5.6. Blockchain
17.5.7. Others
17.6. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
End-User
17.6.1. Hospitals
and Clinics
17.6.2. Physician
Practices
17.6.3. Skilled
Nursing Facilities
17.6.4. Third-Party
Healthcare Administrators
17.6.5. Health
Benefits Consultants
17.6.6. Health
Insurance Brokers
17.6.7. Life
science/Pharma Companies
17.6.8. Others
17.7. Latin
America Data-driven Healthcare Market Revenue (US$ Mn) and Forecasts, By
Country
17.7.1. Brazil
17.7.1.1. Brazil Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
17.7.1.1.1. On-Premises
17.7.1.1.2. Cloud
17.7.1.2. Brazil Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
17.7.1.2.1. Small and Medium Sized Facilities
17.7.1.2.2. Large Sized Facilities
17.7.1.3. Brazil Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
17.7.1.3.1. Finance
17.7.1.3.2. Marketing and Sales
17.7.1.3.3. Administrative
17.7.1.3.4. Others
17.7.1.4. Brazil Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
17.7.1.4.1. Machine learning
17.7.1.4.2. Artificial intelligence
17.7.1.4.3. Internet of Things (IoT)
17.7.1.4.4. Advanced Analytics
17.7.1.4.5. Cloud
17.7.1.4.6. Blockchain
17.7.1.4.7. Others
17.7.1.5. Brazil Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
17.7.1.5.1. Hospitals and Clinics
17.7.1.5.2. Physician Practices
17.7.1.5.3. Skilled Nursing Facilities
17.7.1.5.4. Third-Party Healthcare Administrators
17.7.1.5.5. Health Benefits Consultants
17.7.1.5.6. Health Insurance Brokers
17.7.1.5.7. Life science/Pharma Companies
17.7.1.5.8. Others
17.7.2. Argentina
17.7.2.1. Argentina Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Deployment
17.7.2.1.1. On-Premises
17.7.2.1.2. Cloud
17.7.2.2. Argentina Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Facility Size
17.7.2.2.1. Small and Medium Sized Facilities
17.7.2.2.2. Large Sized Facilities
17.7.2.3. Argentina Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Business Function
17.7.2.3.1. Finance
17.7.2.3.2. Marketing and Sales
17.7.2.3.3. Administrative
17.7.2.3.4. Others
17.7.2.4. Argentina Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By Technologies
17.7.2.4.1. Machine learning
17.7.2.4.2. Artificial intelligence
17.7.2.4.3. Internet of Things (IoT)
17.7.2.4.4. Advanced Analytics
17.7.2.4.5. Cloud
17.7.2.4.6. Blockchain
17.7.2.4.7. Others
17.7.2.5. Argentina Data-driven Healthcare Market Revenue (US$ Mn) and
Forecasts, By End-User
17.7.2.5.1. Hospitals and Clinics
17.7.2.5.2. Physician Practices
17.7.2.5.3. Skilled Nursing Facilities
17.7.2.5.4. Third-Party Healthcare Administrators
17.7.2.5.5. Health Benefits Consultants
17.7.2.5.6. Health Insurance Brokers
17.7.2.5.7. Life science/Pharma Companies
17.7.2.5.8. Others
17.7.3. Rest of
Latin America
17.7.3.1. Rest of Latin America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Deployment
17.7.3.1.1. On-Premises
17.7.3.1.2. Cloud
17.7.3.2. Rest of Latin America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Facility Size
17.7.3.2.1. Small and Medium Sized Facilities
17.7.3.2.2. Large Sized Facilities
17.7.3.3. Rest of Latin America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Business Function
17.7.3.3.1. Finance
17.7.3.3.2. Marketing and Sales
17.7.3.3.3. Administrative
17.7.3.3.4. Others
17.7.3.4. Rest of Latin America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By Technologies
17.7.3.4.1. Machine learning
17.7.3.4.2. Artificial intelligence
17.7.3.4.3. Internet of Things (IoT)
17.7.3.4.4. Advanced Analytics
17.7.3.4.5. Cloud
17.7.3.4.6. Blockchain
17.7.3.4.7. Others
17.7.3.5. Rest of Latin America Data-driven Healthcare Market Revenue
(US$ Mn) and Forecasts, By End-User
17.7.3.5.1. Hospitals and Clinics
17.7.3.5.2. Physician Practices
17.7.3.5.3. Skilled Nursing Facilities
17.7.3.5.4. Third-Party Healthcare Administrators
17.7.3.5.5. Health Benefits Consultants
17.7.3.5.6. Health Insurance Brokers
17.7.3.5.7. Life science/Pharma Companies
17.7.3.5.8. Others
17.8. Key
Segment for Channeling Investments
17.8.1. By
Country
17.8.2. By
Deployment
17.8.3. By
Facility Size
17.8.4. By
Business Function
17.8.5. By
Technologies
17.8.6. By
End-User
18. Competitive Benchmarking
18.1. Market
Share Analysis, 2020
18.2. Global
Presence and Growth Strategies
18.2.1. Mergers
and Acquisitions
18.2.2. Product
Launches
18.2.3. Investments
Trends
18.2.4. R&D
Initiatives
19. Player Profiles
19.1. Allscripts
19.1.1. Company
Details
19.1.2. Company
Overview
19.1.3. Product
Offerings
19.1.4. Key
Developments
19.1.5. Financial
Analysis
19.1.6. SWOT
Analysis
19.1.7. Business
Strategies
19.2. Cerner
19.2.1. Company
Details
19.2.2. Company
Overview
19.2.3. Product
Offerings
19.2.4. Key
Developments
19.2.5. Financial
Analysis
19.2.6. SWOT
Analysis
19.2.7. Business
Strategies
19.3. CitiusTech
19.3.1. Company
Details
19.3.2. Company
Overview
19.3.3. Product
Offerings
19.3.4. Key
Developments
19.3.5. Financial
Analysis
19.3.6. SWOT
Analysis
19.3.7. Business
Strategies
19.4. Cotiviti
(formerly Verscend Technologies)
19.4.1. Company
Details
19.4.2. Company
Overview
19.4.3. Product
Offerings
19.4.4. Key
Developments
19.4.5. Financial
Analysis
19.4.6. SWOT
Analysis
19.4.7. Business
Strategies
19.5. Health
Catalyst
19.5.1. Company
Details
19.5.2. Company
Overview
19.5.3. Product
Offerings
19.5.4. Key
Developments
19.5.5. Financial
Analysis
19.5.6. SWOT
Analysis
19.5.7. Business
Strategies
19.6. IBM
19.6.1. Company
Details
19.6.2. Company
Overview
19.6.3. Product
Offerings
19.6.4. Key
Developments
19.6.5. Financial
Analysis
19.6.6. SWOT
Analysis
19.6.7. Business
Strategies
19.7. Innovaccer
Inc.
19.7.1. Company
Details
19.7.2. Company
Overview
19.7.3. Product
Offerings
19.7.4. Key
Developments
19.7.5. Financial
Analysis
19.7.6. SWOT
Analysis
19.7.7. Business
Strategies
19.8. Inovalon
19.8.1. Company
Details
19.8.2. Company
Overview
19.8.3. Product
Offerings
19.8.4. Key
Developments
19.8.5. Financial
Analysis
19.8.6. SWOT
Analysis
19.8.7. Business
Strategies
19.9. McKesson
19.9.1. Company
Details
19.9.2. Company
Overview
19.9.3. Product
Offerings
19.9.4. Key Developments
19.9.5. Financial
Analysis
19.9.6. SWOT
Analysis
19.9.7. Business
Strategies
19.10. MedeAnalytics
19.10.1. Company
Details
19.10.2. Company
Overview
19.10.3. Product
Offerings
19.10.4. Key
Developments
19.10.5. Financial
Analysis
19.10.6. SWOT
Analysis
19.10.7. Business
Strategies
19.11. Microsoft
19.11.1. Company
Details
19.11.2. Company
Overview
19.11.3. Product
Offerings
19.11.4. Key
Developments
19.11.5. Financial
Analysis
19.11.6. SWOT
Analysis
19.11.7. Business
Strategies
19.12. Optum
19.12.1. Company
Details
19.12.2. Company
Overview
19.12.3. Product
Offerings
19.12.4. Key
Developments
19.12.5. Financial
Analysis
19.12.6. SWOT
Analysis
19.12.7. Business
Strategies
19.13. Oracle
19.13.1. Company
Details
19.13.2. Company
Overview
19.13.3. Product
Offerings
19.13.4. Key
Developments
19.13.5. Financial
Analysis
19.13.6. SWOT
Analysis
19.13.7. Business
Strategies
19.14. SAS
Institute Inc.
19.14.1. Company
Details
19.14.2. Company
Overview
19.14.3. Product
Offerings
19.14.4. Key
Developments
19.14.5. Financial
Analysis
19.14.6. SWOT
Analysis
19.14.7. Business
Strategies
19.15. SCIO
Health Analytics
19.15.1. Company
Details
19.15.2. Company
Overview
19.15.3. Product
Offerings
19.15.4. Key
Developments
19.15.5. Financial
Analysis
19.15.6. SWOT
Analysis
19.15.7. Business
Strategies
19.16. Siemens
19.16.1. Company
Details
19.16.2. Company
Overview
19.16.3. Product
Offerings
19.16.4. Key
Developments
19.16.5. Financial
Analysis
19.16.6. SWOT
Analysis
19.16.7. Business
Strategies
19.17. VitreosHealth
19.17.1. Company
Details
19.17.2. Company
Overview
19.17.3. Product
Offerings
19.17.4. Key
Developments
19.17.5. Financial
Analysis
19.17.6. SWOT
Analysis
19.17.7. Business
Strategies
19.18. Wipro
19.18.1. Company
Details
19.18.2. Company
Overview
19.18.3. Product
Offerings
19.18.4. Key
Developments
19.18.5. Financial
Analysis
19.18.6. SWOT
Analysis
19.18.7. Business Strategies
19.19. Other Market
Participants
20. Key Findings
Note: This ToC is tentative
and can be changed according to the research study conducted during the course
of report completion.
**Exclusive for Multi-User
and Enterprise User.
At Absolute Markets Insights, we are engaged in building both global as well as country specific reports. As a result, the approach taken for deriving the estimation and forecast for a specific country is a bit unique and different in comparison to the global research studies. In this case, we not only study the concerned market factors & trends prevailing in a particular country (from secondary research) but we also tend to calculate the actual market size & forecast from the revenue generated from the market participants involved in manufacturing or distributing the any concerned product. These companies can also be service providers. For analyzing any country specifically, we do consider the growth factors prevailing under the states/cities/county for the same. For instance, if we are analyzing an industry specific to United States, we primarily need to study about the states present under the same(where the product/service has the highest growth). Similar analysis will be followed by other countries. Our scope of the report changes with different markets.
Our research study is mainly implement through a mix of both secondary and primary research. Various sources such as industry magazines, trade journals, and government websites and trade associations are reviewed for gathering precise data. Primary interviews are conducted to validate the market size derived from secondary research. Industry experts, major manufacturers and distributors are contacted for further validation purpose on the current market penetration and growth trends.
Prominent participants in our primary research process include:
- Key Opinion Leaders namely the CEOs, CSOs, VPs, purchasing managers, amongst others
- Research and development participants, distributors/suppliers and subject matter experts
Secondary Research includes data extracted from paid data sources:
- Reuters
- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
Key Inclusions
