Healthcare Analytics Market by Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics); by Delivery Model (On-Premise Models, On-Demand Models); by Application (Clinical Analytics, Financial Analytics, Operational and Administrative Analytics, Population Health Analytics); by Component (Service, Hardware, Software); by Region (U.S., Rest of North America, France, UK, Germany, Spain, Italy, Rest of Europe, China, Japan, India, Southeast Asia, Rest of Asia Pacific, GCC Countries, Southern Africa, Rest of MEA, Brazil, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2018-2026

Report ID :AMI-105 | Category : Healthcare And IT | Published Date :July, 2018 | Pages : 367 | Format :PDF
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Industry Trends

The traditional way of providing patient care has been revolutionized, owing to the usage of IT in healthcare sector. Healthcare analytics is a branch of analysis that mainly focusses on offering insights into hospital management, patient records, costs, diagnoses and so on. The analytics solution when combined with business intelligence and data visualization tools, helps to manage healthcare system better by providing real time information that can support clinical decisions and deliver actionable insights. In short, healthcare analytics is the application of business analytics and intelligence to the healthcare industry to determine, how a particular clinical care can be improved while limiting excessive spending of hospitals and clinics. In hospitals, healthcare analytics is impacting multiple areas from customer acquisition to operational efficiency to clinical delivery. It is also working as a backbone for the marketing and sales team to target and retain the right types of customers.

Healthcare Analytics Market, By Region, 2018 – 2026 (USD Million)

Healthcare Analytics Market

Predictive, prescriptive and descriptive are the three main branches of healthcare analytics. Predictive analytics involves the usage of various statistical techniques such as data mining, predictive modelling and machine learning, that helps healthcare providers to examine historical and present clinical data and predict the future. For instance, if the data regarding patients admitted in ICU’s during last two years and the present year is obtained, then the number of patients that may be admitted next year in ICU’s can be easily predicted.

Descriptive analytics on the other hand analyzes and summarizes the past clinical data. For instance, reports that provide historical insights regarding the hospital’s financials, operations, inventory and patients admitted.

Prescriptive analytics, allows care providers to opt for a number of different possible actions to guide them towards most optimal solution. For instance, it helps doctors in deciding the type of treatment would be the best for a particular patient based on signs and symptoms.

The global healthcare analytics market was valued to be US$ 9471.85 Mn in 2017 and is anticipated to be US$ 31529.98 Mn by 2022.

Healthcare Analytics Market, by Application

Healthcare analytics has wide applications in different areas of life sciences. But its usage in clinical data is increasing. In case of clinical analytics, it is widely used in clinical decision support, quality improvement, clinical benchmarking, regulatory reporting and compliance, comparative analytics and precision health. It is extensively used to improve the quality of life and reduce the cost of operations. For instance, clinical data has many a times provided the necessary procedure that needs to be followed by a doctor. If a patient affected by H. Pylori infection can be treated by medicine without undergoing any surgery or endoscopy, then healthcare analytics solution suggests the physicians to opt for medicinal treatments. This greatly helps to reduce the cost of care provided, benefitting both patients as well as doctors.

Healthcare Analytics Market, by Region

The region of North America has seen tremendous adoption rate in healthcare analytics market since the beginning of 19th century. As per, The American Hospital Association’s survey, there are more than 5000 registered hospitals in the United States, that treat more than 50 million patients annually and create a large amount of clinical data. Hospitals in the United States and Canada are opting for healthcare analytics to use these records as a primary source for deep learning algorithms. The neural networks can then work on the clinical data stored in millions of files and scan through patterns to uncover underlying connections and help in early diagnosis of patients. Missouri based Cerner Corporation is one of the healthcare data analytics company in the United States, introducing powerful analytics solutions. More than 28,000 healthcare providers are using the solution to improve patient centric care in hospitals. New York based IBM has been offering predictive analytics platform to combine multiple analytics services to derive new insights and provide quality care to patients by reducing operational cost.

Competitive Landscape

The healthcare analytics market report provides both, qualitative and quantitative research of the market, as well as strategic insights along with developments that are being adopted by the key contenders. The report also offers extensive research on the key players in this market and detailed insights on the competitiveness of these players. The key business strategies such as mergers and acquisition (M&A), affiliations, collaborations, and contracts adopted by the major players are also recognized and analyzed in the report. For each company, the report recognizes their research institutes, competitors, product type, application and specification, pricing, and gross margin.

Market participants include SAP SE, McKesson Corporation, Microsoft Corporation, Oracle Corporation, IBM Corporation, SAS Institute Inc., OptumHealth Inc., LexisNexis Risk Solutions Inc., MedeAnalytics, Inc., Cerner Corporation, Allscripts Healthcare Solutions, Inc. and Inovalon amongst others. In February 2016, IBM’s healthcare unit, IBM Watson Health acquired Truven Health Analytics, one of the leading providers of cloud-based healthcare data analytics, and insights for USD 2.6 billion. This helped the company to provide more quality based analytic solution in healthcare market.


Healthcare Analytics Market Background

Healthcare Analytics Market


Healthcare Analytics Market

1.    Introduction

1.1.   Market Scope

1.2.   Market Segmentation

1.3.   Methodology

1.4.   Assumptions

2.    Healthcare Analytics Market Snapshot

3.    Executive Summary: Healthcare Analytics Market

4.    Qualitative Analysis: Healthcare Analytics Market

4.1.   Introduction

4.1.1.   Product Definition

4.1.2.   Industry Development

4.2.   Market Dynamics

4.2.1.   Drivers

4.2.2.   Restraints

4.2.3.   Opportunities

4.3.   Trends in Market

5.    Global Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

5.1.   Overview

5.1.1.   Global Market Revenue (US$ Mn) and Forecasts

5.2.   Global Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

5.2.1.   Descriptive Analytics

5.2.1.1.    Definition

5.2.1.2.    Market Penetration

5.2.1.3.    Market Revenue Expected to Increase by 2026

5.2.1.4.    Compound Annual Growth Rate (CAGR)

5.2.2.   Prescriptive Analytics

5.2.2.1.    Definition

5.2.2.2.    Market Penetration

5.2.2.3.    Market Revenue Expected to Increase by 2026

5.2.2.4.    Compound Annual Growth Rate (CAGR)

5.2.3.   Predictive Analytics

5.2.3.1.    Definition

5.2.3.2.    Market Penetration

5.2.3.3.    Market Revenue Expected to Increase by 2026

5.2.3.4.    Compound Annual Growth Rate (CAGR)

5.3.   Key Segment for Channeling Investments

5.3.1.   By Type

6.    Global Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

6.1.   Overview

6.2.   Global Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Delivery Model

6.2.1.   On-Demand Models

6.2.1.1.    Definition

6.2.1.2.    Market Penetration

6.2.1.3.    Market Revenue Expected to Increase by 2026

6.2.1.4.    Compound Annual Growth Rate (CAGR)

6.2.2.   On-Premise Models

6.2.2.1.    Definition

6.2.2.2.    Market Penetration

6.2.2.3.    Market Revenue Expected to Increase by 2026

6.2.2.4.    Compound Annual Growth Rate (CAGR)

6.3.   Key Segment for Channeling Investments

6.3.1.   By Delivery Model

7.    Global Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

7.1.   Overview

7.2.   Global Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

7.2.1.   Clinical Analytics

7.2.1.1.    Definition

7.2.1.2.    Market Penetration

7.2.1.3.    Market Revenue Expected to Increase by 2026

7.2.1.4.    Compound Annual Growth Rate (CAGR)

7.2.2.   Financial Analytics

7.2.2.1.    Definition

7.2.2.2.    Market Penetration

7.2.2.3.    Market Revenue Expected to Increase by 2026

7.2.2.4.    Compound Annual Growth Rate (CAGR)

7.2.3.   Operational and Administrative Analytics

7.2.3.1.    Definition

7.2.3.2.    Market Penetration

7.2.3.3.    Market Revenue Expected to Increase by 2026

7.2.3.4.    Compound Annual Growth Rate (CAGR)

7.2.4.   Population Health Analytics

7.2.4.1.    Definition

7.2.4.2.    Market Penetration

7.2.4.3.    Market Revenue Expected to Increase by 2026

7.2.4.4.    Compound Annual Growth Rate (CAGR)

7.3.   Key Segment for Channeling Investments

7.3.1.   By Application

8.    Global Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

8.1.   Overview

8.2.   Global Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Component

8.2.1.   Service

8.2.1.1.    Definition

8.2.1.2.    Market Penetration

8.2.1.3.    Market Revenue Expected to Increase by 2026

8.2.1.4.    Compound Annual Growth Rate (CAGR)

8.2.2.   Software

8.2.2.1.    Definition

8.2.2.2.    Market Penetration

8.2.2.3.    Market Revenue Expected to Increase by 2026

8.2.2.4.    Compound Annual Growth Rate (CAGR)

8.2.3.   Hardware

8.2.3.1.    Definition

8.2.3.2.    Market Penetration

8.2.3.3.    Market Revenue Expected to Increase by 2026

8.2.3.4.    Compound Annual Growth Rate (CAGR)

8.3.   Key Segment for Channeling Investments

8.3.1.   By Component

9.    North America Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

9.1.   Overview

9.1.1.   North America Market Revenue (US$ Mn)

9.2.   North America Market Revenue (US$ Mn) and Forecasts, By Type

9.2.1.   Descriptive Analytics

9.2.2.   Prescriptive Analytics

9.2.3.   Predictive Analytics

9.3.   North America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Delivery Model

9.3.1.   On-Demand Models

9.3.2.   On-Premise Models

9.4.   North America Market Revenue (US$ Mn) and Forecasts, By Application

9.4.1.   Clinical Analytics

9.4.2.   Financial Analytics

9.4.3.   Operational and Administrative Analytics

9.4.4.   Population Health Analytics

9.5.   North America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Component

9.5.1.   Service

9.5.2.   Software

9.5.3.   Hardware

9.6.   North America Market Revenue (US$ Mn) and Forecasts, By Country

9.6.1.   U.S.

9.6.1.1.    U.S. Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

9.6.1.1.1.    Descriptive Analytics

9.6.1.1.2.    Prescriptive Analytics

9.6.1.1.3.    Predictive Analytics

9.6.1.2.    U.S. Market Revenue (US$ Mn) and Forecasts, By Delivery Model

9.6.1.2.1.    On-Demand Models

9.6.1.2.2.    On-Premise Models

9.6.1.3.    U.S. Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

9.6.1.3.1.    Clinical Analytics

9.6.1.3.2.    Financial Analytics

9.6.1.3.3.    Operational and Administrative Analytics

9.6.1.3.4.    Population Health Analytics

9.6.1.4.    U.S. Market Revenue (US$ Mn) and Forecasts, By Component

9.6.1.4.1.    Service

9.6.1.4.2.    Software

9.6.1.4.3.    Hardware

9.6.2.   Rest of North America

9.6.2.1.    Rest of North America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

9.6.2.1.1.    Descriptive Analytics

9.6.2.1.2.    Prescriptive Analytics

9.6.2.1.3.    Predictive Analytics

9.6.2.2.    Rest of North America Market Revenue (US$ Mn) and Forecasts, By Delivery Model

9.6.2.2.1.    On-Demand Models

9.6.2.2.2.    On-Premise Models

9.6.2.3.    Rest of North America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

9.6.2.3.1.    Clinical Analytics

9.6.2.3.2.    Financial Analytics

9.6.2.3.3.    Operational and Administrative Analytics

9.6.2.3.4.    Population Health Analytics

9.6.2.4.    Rest of North America Market Revenue (US$ Mn) and Forecasts, By Component

9.6.2.4.1.    Service

9.6.2.4.2.    Software

9.6.2.4.3.    Hardware

9.7.   Key Segment for Channeling Investments

9.7.1.   By Country

9.7.2.   By Type

9.7.3.   By Delivery Model

9.7.4.   By Application

9.7.5.   By Component

10. Europe Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

10.1. Overview

10.1.1. Europe Market Revenue (US$ Mn)

10.2. Europe Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.2.1. Descriptive Analytics

10.2.2. Prescriptive Analytics

10.2.3. Predictive Analytics

10.3. Europe Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.3.1. On-Demand Models

10.3.2. On-Premise Models

10.4. Europe Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.4.1. Clinical Analytics

10.4.2. Financial Analytics

10.4.3. Operational and Administrative Analytics

10.4.4. Population Health Analytics

10.5. Europe Market Revenue (US$ Mn) and Forecasts, By Component

10.5.1. Service

10.5.2. Software

10.5.3. Hardware

10.6. Europe Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Country

10.6.1. France

10.6.1.1.  France Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.1.1.1.  Descriptive Analytics

10.6.1.1.2.  Prescriptive Analytics

10.6.1.1.3.  Predictive Analytics

10.6.1.2.  France Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.1.2.1.  On-Demand Models

10.6.1.2.2.  On-Premise Models

10.6.1.3.  France Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.1.3.1.  Clinical Analytics

10.6.1.3.2.  Financial Analytics

10.6.1.3.3.  Operational and Administrative Analytics

10.6.1.3.4.  Population Health Analytics

10.6.1.4.  France Market Revenue (US$ Mn) and Forecasts, By Component

10.6.1.4.1.  Service

10.6.1.4.2.  Software

10.6.1.4.3.  Hardware

10.6.2. The UK

10.6.2.1.  The UK Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.2.1.1.  Descriptive Analytics

10.6.2.1.2.  Prescriptive Analytics

10.6.2.1.3.  Predictive Analytics

10.6.2.2.  The UK Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.2.2.1.  On-Demand Models

10.6.2.2.2.  On-Premise Models

10.6.2.3.  The UK Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.2.3.1.  Clinical Analytics

10.6.2.3.2.  Financial Analytics

10.6.2.3.3.  Operational and Administrative Analytics

10.6.2.3.4.  Population Health Analytics

10.6.2.4.  The UK Market Revenue (US$ Mn) and Forecasts, By Component

10.6.2.4.1.  Service

10.6.2.4.2.  Software

10.6.2.4.3.  Hardware

10.6.3. Spain

10.6.3.1.  Spain Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.3.1.1.  Descriptive Analytics

10.6.3.1.2.  Prescriptive Analytics

10.6.3.1.3.  Predictive Analytics

10.6.3.2.  Spain Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.3.2.1.  On-Demand Models

10.6.3.2.2.  On-Premise Models

10.6.3.3.  Spain Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.3.3.1.  Clinical Analytics

10.6.3.3.2.  Financial Analytics

10.6.3.3.3.  Operational and Administrative Analytics

10.6.3.3.4.  Population Health Analytics

10.6.3.4.  Spain Market Revenue (US$ Mn) and Forecasts, By Component

10.6.3.4.1.  Service

10.6.3.4.2.  Software

10.6.3.4.3.  Hardware

10.6.4. Germany

10.6.4.1.  Germany Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.4.1.1.  Descriptive Analytics

10.6.4.1.2.  Prescriptive Analytics

10.6.4.1.3.  Predictive Analytics

10.6.4.2.  Germany Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.4.2.1.  On-Demand Models

10.6.4.2.2.  On-Premise Models

10.6.4.3.  Germany Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.4.3.1.  Clinical Analytics

10.6.4.3.2.  Financial Analytics

10.6.4.3.3.  Operational and Administrative Analytics

10.6.4.3.4.  Population Health Analytics

10.6.4.4.  Germany Market Revenue (US$ Mn) and Forecasts, By Component

10.6.4.4.1.  Service

10.6.4.4.2.  Software

10.6.4.4.3.  Hardware

10.6.5. Italy

10.6.5.1.  Italy Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.5.1.1.  Descriptive Analytics

10.6.5.1.2.  Prescriptive Analytics

10.6.5.1.3.  Predictive Analytics

10.6.5.2.  Italy Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.5.2.1.  On-Demand Models

10.6.5.2.2.  On-Premise Models

10.6.5.3.  Italy Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.5.3.1.  Clinical Analytics

10.6.5.3.2.  Financial Analytics

10.6.5.3.3.  Operational and Administrative Analytics

10.6.5.3.4.  Population Health Analytics

10.6.5.4.  Italy Market Revenue (US$ Mn) and Forecasts, By Component

10.6.5.4.1.  Service

10.6.5.4.2.  Software

10.6.5.4.3.  Hardware

10.6.6. Rest of Europe

10.6.6.1.  Rest of Europe Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

10.6.6.1.1.  Descriptive Analytics

10.6.6.1.2.  Prescriptive Analytics

10.6.6.1.3.  Predictive Analytics

10.6.6.2.  Rest of Europe Market Revenue (US$ Mn) and Forecasts, By Delivery Model

10.6.6.2.1.  On-Demand Models

10.6.6.2.2.  On-Premise Models

10.6.6.3.  Rest of Europe Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

10.6.6.3.1.  Clinical Analytics

10.6.6.3.2.  Financial Analytics

10.6.6.3.3.  Operational and Administrative Analytics

10.6.6.3.4.  Population Health Analytics

10.6.6.4.  Rest of Europe Market Revenue (US$ Mn) and Forecasts, By Component

10.6.6.4.1.  Service

10.6.6.4.2.  Software

10.6.6.4.3.  Hardware

10.7. Key Segment for Channeling Investments

10.7.1. By Country

10.7.2. By Type

10.7.3. By Delivery Model

10.7.4. By Application

10.7.5. By Component

11. Asia Pacific Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

11.1. Overview

11.1.1. Asia Pacific Market Revenue (US$ Mn)

11.2. Asia Pacific Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.2.1. Descriptive Analytics

11.2.2. Prescriptive Analytics

11.2.3. Predictive Analytics

11.3. Asia Pacific Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.3.1. On-Demand Models

11.3.2. On-Premise Models

11.4. Asia Pacific Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.4.1. Clinical Analytics

11.4.2. Financial Analytics

11.4.3. Operational and Administrative Analytics

11.4.4. Population Health Analytics

11.5. Asia Pacific Market Revenue (US$ Mn) and Forecasts, By Component

11.5.1. Service

11.5.2. Software

11.5.3. Hardware

11.6. Asia Pacific Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Country

11.6.1. China

11.6.1.1.  China Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.6.1.1.1.  Descriptive Analytics

11.6.1.1.2.  Prescriptive Analytics

11.6.1.1.3.  Predictive Analytics

11.6.1.2.  China Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.6.1.2.1.  On-Demand Models

11.6.1.2.2.  On-Premise Models

11.6.1.3.  China Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.6.1.3.1.  Clinical Analytics

11.6.1.3.2.  Financial Analytics

11.6.1.3.3.  Operational and Administrative Analytics

11.6.1.3.4.  Population Health Analytics

11.6.1.4.  China Market Revenue (US$ Mn) and Forecasts, By Component

11.6.1.4.1.  Service

11.6.1.4.2.  Software

11.6.1.4.3.  Hardware

11.6.2. Japan

11.6.2.1.  Japan Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.6.2.1.1.  Descriptive Analytics

11.6.2.1.2.  Prescriptive Analytics

11.6.2.1.3.  Predictive Analytics

11.6.2.2.  Japan Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.6.2.2.1.  On-Demand Models

11.6.2.2.2.  On-Premise Models

11.6.2.3.  Japan Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.6.2.3.1.  Clinical Analytics

11.6.2.3.2.  Financial Analytics

11.6.2.3.3.  Operational and Administrative Analytics

11.6.2.3.4.  Population Health Analytics

11.6.2.4.  Japan Market Revenue (US$ Mn) and Forecasts, By Component

11.6.2.4.1.  Service

11.6.2.4.2.  Software

11.6.2.4.3.  Hardware

11.6.3. India

11.6.3.1.  India Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.6.3.1.1.  Descriptive Analytics

11.6.3.1.2.  Prescriptive Analytics

11.6.3.1.3.  Predictive Analytics

11.6.3.2.  India Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.6.3.2.1.  On-Demand Models

11.6.3.2.2.  On-Premise Models

11.6.3.3.  India Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.6.3.3.1.  Clinical Analytics

11.6.3.3.2.  Financial Analytics

11.6.3.3.3.  Operational and Administrative Analytics

11.6.3.3.4.  Population Health Analytics

11.6.3.4.  India Market Revenue (US$ Mn) and Forecasts, By Component

11.6.3.4.1.  Service

11.6.3.4.2.  Software

11.6.3.4.3.  Hardware

11.6.4. Southeast Asia

11.6.4.1.  Southeast Asia Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.6.4.1.1.  Descriptive Analytics

11.6.4.1.2.  Prescriptive Analytics

11.6.4.1.3.  Predictive Analytics

11.6.4.2.  Southeast Asia Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.6.4.2.1.  On-Demand Models

11.6.4.2.2.  On-Premise Models

11.6.4.3.  Southeast Asia Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.6.4.3.1.  Clinical Analytics

11.6.4.3.2.  Financial Analytics

11.6.4.3.3.  Operational and Administrative Analytics

11.6.4.3.4.  Population Health Analytics

11.6.4.4.  Southeast Asia Market Revenue (US$ Mn) and Forecasts, By Component

11.6.4.4.1.  Service

11.6.4.4.2.  Software

11.6.4.4.3.  Hardware

11.6.5. Rest of Asia Pacific

11.6.5.1.  Rest of Asia Pacific Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

11.6.5.1.1.  Descriptive Analytics

11.6.5.1.2.  Prescriptive Analytics

11.6.5.1.3.  Predictive Analytics

11.6.5.2.  Rest of Asia Pacific Market Revenue (US$ Mn) and Forecasts, By Delivery Model

11.6.5.2.1.  On-Demand Models

11.6.5.2.2.  On-Premise Models

11.6.5.3.  Rest of Asia Pacific Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

11.6.5.3.1.  Clinical Analytics

11.6.5.3.2.  Financial Analytics

11.6.5.3.3.  Operational and Administrative Analytics

11.6.5.3.4.  Population Health Analytics

11.6.5.4.  Rest of Asia Pacific Market Revenue (US$ Mn) and Forecasts, By Component

11.6.5.4.1.  Service

11.6.5.4.2.  Software

11.6.5.4.3.  Hardware

11.7. Key Segment for Channeling Investments

11.7.1. By Country

11.7.2. By Type

11.7.3. By Delivery Model

11.7.4. By Application

11.7.5. By Component

12. Middle East and Africa Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

12.1. Overview

12.1.1. Middle East and Africa Market Revenue (US$ Mn)

12.2. Middle East and Africa Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

12.2.1. Descriptive Analytics

12.2.2. Prescriptive Analytics

12.2.3. Predictive Analytics

12.3. Middle East and Africa Market Revenue (US$ Mn) and Forecasts, By Delivery Model

12.3.1. On-Demand Models

12.3.2. On-Premise Models

12.4. Middle East and Africa Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

12.4.1. Clinical Analytics

12.4.2. Financial Analytics

12.4.3. Operational and Administrative Analytics

12.4.4. Population Health Analytics

12.5. Middle East and Africa Market Revenue (US$ Mn) and Forecasts, By Component

12.5.1. Service

12.5.2. Software

12.5.3. Hardware

12.6. Middle East and Africa Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Country

12.6.1. GCC Countries

12.6.1.1.  GCC Countries Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

12.6.1.1.1.  Descriptive Analytics

12.6.1.1.2.  Prescriptive Analytics

12.6.1.1.3.  Predictive Analytics

12.6.1.2.  GCC Countries Market Revenue (US$ Mn) and Forecasts, By Delivery Model

12.6.1.2.1.  On-Demand Models

12.6.1.2.2.  On-Premise Models

12.6.1.3.  GCC Countries Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

12.6.1.3.1.  Clinical Analytics

12.6.1.3.2.  Financial Analytics

12.6.1.3.3.  Operational and Administrative Analytics

12.6.1.3.4.  Population Health Analytics

12.6.1.4.  GCC Countries Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Component

12.6.1.4.1.  Service

12.6.1.4.2.  Software

12.6.1.4.3.  Hardware

12.6.2. Southern Africa

12.6.2.1.  Southern Africa Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

12.6.2.1.1.  Descriptive Analytics

12.6.2.1.2.  Prescriptive Analytics

12.6.2.1.3.  Predictive Analytics

12.6.2.2.  Southern Africa Market Revenue (US$ Mn) and Forecasts, By Delivery Model

12.6.2.2.1.  On-Demand Models

12.6.2.2.2.  On-Premise Models

12.6.2.3.  Southern Africa Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

12.6.2.3.1.  Clinical Analytics

12.6.2.3.2.  Financial Analytics

12.6.2.3.3.  Operational and Administrative Analytics

12.6.2.3.4.  Population Health Analytics

12.6.2.4.  Southern Africa Market Revenue (US$ Mn) and Forecasts, By Component

12.6.2.4.1.  Service

12.6.2.4.2.  Software

12.6.2.4.3.  Hardware

12.6.3. Rest of MEA

12.6.3.1.  Rest of MEA Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

12.6.3.1.1.  Descriptive Analytics

12.6.3.1.2.  Prescriptive Analytics

12.6.3.1.3.  Predictive Analytics

12.6.3.2.  Rest of MEA Market Revenue (US$ Mn) and Forecasts, By Delivery Model

12.6.3.2.1.  On-Demand Models

12.6.3.2.2.  On-Premise Models

12.6.3.3.  Rest of MEA Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

12.6.3.3.1.  Clinical Analytics

12.6.3.3.2.  Financial Analytics

12.6.3.3.3.  Operational and Administrative Analytics

12.6.3.3.4.  Population Health Analytics

12.6.3.4.  Rest of MEA Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Component

12.6.3.4.1.  Service

12.6.3.4.2.  Software

12.6.3.4.3.  Hardware

12.7. Key Segment for Channeling Investments

12.7.1. By Country

12.7.2. By Type

12.7.3. By Delivery Model

12.7.4. By Application

12.7.5. By Component

13. Latin America Healthcare Analytics Market Analysis and Forecasts, 2018 – 2026

13.1. Overview

13.1.1. Latin America Market Revenue (US$ Mn)

13.2. Latin America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

13.2.1. Descriptive Analytics

13.2.2. Prescriptive Analytics

13.2.3. Predictive Analytics

13.3. Latin America Market Revenue (US$ Mn) and Forecasts, By Delivery Model

13.3.1. On-Demand Models

13.3.2. On-Premise Models

13.4. Latin America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

13.4.1. Clinical Analytics

13.4.2. Financial Analytics

13.4.3. Operational and Administrative Analytics

13.4.4. Population Health Analytics

13.5. Latin America Market Revenue (US$ Mn) and Forecasts, By Component

13.5.1. Service

13.5.2. Software

13.5.3. Hardware

13.6. Latin America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Country

13.6.1. Brazil

13.6.1.1.  Brazil Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

13.6.1.1.1.  Descriptive Analytics

13.6.1.1.2.  Prescriptive Analytics

13.6.1.1.3.  Predictive Analytics

13.6.1.2.  Brazil Market Revenue (US$ Mn) and Forecasts, By Delivery Model

13.6.1.2.1.  On-Demand Models

13.6.1.2.2.  On-Premise Models

13.6.1.3.  Brazil Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

13.6.1.3.1.  Clinical Analytics

13.6.1.3.2.  Financial Analytics

13.6.1.3.3.  Operational and Administrative Analytics

13.6.1.3.4.  Population Health Analytics

13.6.1.4.  Brazil Market Revenue (US$ Mn) and Forecasts, By Component

13.6.1.4.1.  Service

13.6.1.4.2.  Software

13.6.1.4.3.  Hardware

13.6.2. Rest of Latin America

13.6.2.1.  Rest of Latin America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Type

13.6.2.1.1.  Descriptive Analytics

13.6.2.1.2.  Prescriptive Analytics

13.6.2.1.3.  Predictive Analytics

13.6.2.2.  Rest of Latin America Market Revenue (US$ Mn) and Forecasts, By Delivery Model

13.6.2.2.1.  On-Demand Models

13.6.2.2.2.  On-Premise Models

13.6.2.3.  Rest of Latin America Healthcare Analytics Market Revenue (US$ Mn) and Forecasts, By Application

13.6.2.3.1.  Clinical Analytics

13.6.2.3.2.  Financial Analytics

13.6.2.3.3.  Operational and Administrative Analytics

13.6.2.3.4.  Population Health Analytics

13.6.2.4.  Rest of Latin America Market Revenue (US$ Mn) and Forecasts, By Component

13.6.2.4.1.  Service

13.6.2.4.2.  Software

13.6.2.4.3.  Hardware

13.7. Key Segment for Channeling Investments

13.7.1. By Country

13.7.2. By Type

13.7.3. By Delivery Model

13.7.4. By Application

13.7.5. By Component

14. Competitive Benchmarking

14.1. Player Positioning Analysis

14.2. Global Presence and Growth Strategies

15. Player Profiles

15.1. Allscripts Healthcare Solutions, Inc.

15.1.1. Company Details

15.1.2. Company Overview

15.1.3. Product Offerings

15.1.4. Key Developments

15.1.5. Financial Analysis

15.1.6. SWOT Analysis

15.1.7. Business Strategies

15.2. Cerner Corporation

15.2.1. Company Details

15.2.2. Company Overview

15.2.3. Product Offerings

15.2.4. Key Developments

15.2.5. Financial Analysis

15.2.6. SWOT Analysis

15.2.7. Business Strategies

15.3. IBM Corporation

15.3.1. Company Details

15.3.2. Company Overview

15.3.3. Product Offerings

15.3.4. Key Developments

15.3.5. Financial Analysis

15.3.6. SWOT Analysis

15.3.7. Business Strategies

15.4. Inovalon

15.4.1. Company Details

15.4.2. Company Overview

15.4.3. Product Offerings

15.4.4. Key Developments

15.4.5. Financial Analysis

15.4.6. SWOT Analysis

15.4.7. Business Strategies

15.5. LexisNexis Risk Solutions Inc.

15.5.1. Company Details

15.5.2. Company Overview

15.5.3. Product Offerings

15.5.4. Key Developments

15.5.5. Financial Analysis

15.5.6. SWOT Analysis

15.5.7. Business Strategies

15.6. McKesson Corporation

15.6.1. Company Details

15.6.2. Company Overview

15.6.3. Product Offerings

15.6.4. Key Developments

15.6.5. Financial Analysis

15.6.6. SWOT Analysis

15.6.7. Business Strategies

15.7. MedeAnalytics, Inc.

15.7.1. Company Details

15.7.2. Company Overview

15.7.3. Product Offerings

15.7.4. Key Developments

15.7.5. Financial Analysis

15.7.6. SWOT Analysis

15.7.7. Business Strategies

15.8. Microsoft Corporation

15.8.1. Company Details

15.8.2. Company Overview

15.8.3. Product Offerings

15.8.4. Key Developments

15.8.5. Financial Analysis

15.8.6. SWOT Analysis

15.8.7. Business Strategies

15.9. OptumHealth Inc.

15.9.1. Company Details

15.9.2. Company Overview

15.9.3. Product Offerings

15.9.4. Key Developments

15.9.5. Financial Analysis

15.9.6. SWOT Analysis

15.9.7. Business Strategies

15.10.   Oracle Corporation

15.10.1.  Company Details

15.10.2.  Company Overview

15.10.3.  Product Offerings

15.10.4.  Key Developments

15.10.5.  Financial Analysis

15.10.6.  SWOT Analysis

15.10.7.  Business Strategies

15.11.   SAP SE

15.11.1.  Company Details

15.11.2.  Company Overview

15.11.3.  Product Offerings

15.11.4.  Key Developments

15.11.5.  Financial Analysis

15.11.6.  SWOT Analysis

15.11.7.  Business Strategies

15.12.   SAS Institute Inc.

15.12.1.  Company Details

15.12.2.  Company Overview

15.12.3.  Product Offerings

15.12.4.  Key Developments

15.12.5.  Financial Analysis

15.12.6.  SWOT Analysis

15.12.7.  Business Strategies

 

 Note: This ToC is tentative and can be changed according to the research study conducted during the course of report completion.

At Absolute Markets Insights, we use both top-down and bottom-up approach for calculating the market estimates and market forecast data. We allocate year-on-year growth rate from 2018 to 2026 and reach to the calculations for the global CAGR. Basically for estimation of the products and applications, usually we follow bottom-up approach, where we track the trends in different regions and their countries. We track down the growth factors, restraints, rules & regulations and opportunities for each country  and its region and finally calculate the global numbers. We first track the growth for the U.S. and Rest of North America. With these factors we can estimate the growth and trend for North America, similar approach would be taken for Europe, Asia Pacific, Latin America and Middle East & Africa. Finally, through our home grown model we reach to estimation and forecasting of the global numbers.   

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

Methodology

Key Inclusions

Methodology

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