Global Big Data in Healthcare Market as a Service Market Outlook 2022
Summary
Big data primarily refers to a large set of data, both
structured and unstructured, which can be effectively evaluated to reveal
certain trends and patterns, in order to provide some meaningful information.
Big Data in healthcare refers to the use of analytic services (descriptive,
predictive and prescriptive) to gain meaningful insights of the patient
healthcare data in order to enhance the clinical outcomes of patients (clinical
analytics); improve business revenue of the healthcare service providers and payers
(financial analytics); and utilizing healthcare service providers workforce
data in order to drive their productivity (operational analytics).
The global big data in healthcare market is expected to reach
$34.27 billion by 2022 at a CAGR of 22.07% during the forecast
period.
On the basis of analytics service type, prescriptive analytics is by far the fastest growing segment of global big data in healthcare market and it is expected to reach $17.28 billion by 2022. .
Based on analytics service application, financial analytics commands largest market share of global big data in healthcare market and it is expected to grow at a CAGR of 19.51% during the period 2016 to 2022.
On the basis of analytics service type, prescriptive analytics is by far the fastest growing segment of global big data in healthcare market and it is expected to reach $17.28 billion by 2022. .
Based on analytics service application, financial analytics commands largest market share of global big data in healthcare market and it is expected to grow at a CAGR of 19.51% during the period 2016 to 2022.
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Key Players
The leading market players in the global big data in healthcare market include; Cerner Corporation (U.S.), Cognizant (U.S.), Dell (U.S.), Epic System Corporation (U.S.), GE Healthcare (U.K.), Mckesson (California), Optum (U.S.), Philips (Netherlands) and others.
The leading market players in the global big data in healthcare market include; Cerner Corporation (U.S.), Cognizant (U.S.), Dell (U.S.), Epic System Corporation (U.S.), GE Healthcare (U.K.), Mckesson (California), Optum (U.S.), Philips (Netherlands) and others.
Target
Audience
• Pharmaceutical companies
• Big data analytics Companies
• Forensic laboratories
• Research Laboratories
• Hospitals & Clinics
• Component and Raw Material Suppliers
• Service Suppliers
• Potential Investors
• Key executive (CEO and COO) and strategy growth manager
• Pharmaceutical companies
• Big data analytics Companies
• Forensic laboratories
• Research Laboratories
• Hospitals & Clinics
• Component and Raw Material Suppliers
• Service Suppliers
• Potential Investors
• Key executive (CEO and COO) and strategy growth manager
Key
Findings
• The global market for big data in healthcare is expected to grow at a CAGR of 22.07% during the period 2016 to 2022 to reach $34.27 billion by 2022.
• The Asian big data in healthcare market is expected to grow rapidly during 2016 to 2022; whereas, North America will remain the largest market by 2022.
• By analytics service type, prescriptive analytics segment is expected to witness highest CAGR of 26.75% during the period 2016 to 2022.
• Based on the analytics service application, financial analytics segment commands the largest market share of global big data in healthcare market; registered 57.7% share in 2015
• Cerner Corporation (U.S.), Cognizant (U.S.), Dell (U.S.), GE Healthcare (U.K.), Mckesson (California), Philips are so far the leading market players for big data in healthcare market globally
• The global market for big data in healthcare is expected to grow at a CAGR of 22.07% during the period 2016 to 2022 to reach $34.27 billion by 2022.
• The Asian big data in healthcare market is expected to grow rapidly during 2016 to 2022; whereas, North America will remain the largest market by 2022.
• By analytics service type, prescriptive analytics segment is expected to witness highest CAGR of 26.75% during the period 2016 to 2022.
• Based on the analytics service application, financial analytics segment commands the largest market share of global big data in healthcare market; registered 57.7% share in 2015
• Cerner Corporation (U.S.), Cognizant (U.S.), Dell (U.S.), GE Healthcare (U.K.), Mckesson (California), Philips are so far the leading market players for big data in healthcare market globally
The reports also cover country level analysis:
• North America
o US
o Canada
• Europe
o Germany
o U.K.
o Italy
o Spain
o France
o Rest of Western Europe
o Eastern Europe
• Asia-Pacific
o Japan
o China
o India
o Republic of Korea
o Rest of Asia-Pacific
• North America
o US
o Canada
• Europe
o Germany
o U.K.
o Italy
o Spain
o France
o Rest of Western Europe
o Eastern Europe
• Asia-Pacific
o Japan
o China
o India
o Republic of Korea
o Rest of Asia-Pacific
Table
of Contents
1 RESEARCH SCOPE
1.1 MARKET DEFINITION
1.2 REPORT COVERAGE
1.2.1 MARKET CLASSIFICATION
1.2.1.1 MARKET SEGMENTATION BY HARDWARE
1.2.1.2 MARKET SEGMENTATION BY SOFTWARE
1.2.1.3 MARKET SEGMENTATION BY ANALYTIC SERVICE TYPES
1.2.1.4 MARKET SEGMENTATION BY ANALYTIC SERVICE APPLICATIONS
1.3 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH FLOW
2.2 FACTOR ANALYSIS
2.2.1 DEMAND SIDE FACTORS
2.2.2 SUPPLY SIDE FACTORS
2.3 RESEARCH DESIGN
2.3.1 RESEARCH PARAMETERS
2.3.2 SECONDARY RESEARCH
2.3.2.1 KEY DATA POINTS FROM SECONDARY SOURCES
2.3.3 PRIMARY RESEARCH
2.3.3.1 KEY DATA POINTS FROM PRIMARY SOURCES
2.3.4 DATA TRIANGULATION
2.3.4.1 BOTTOM UP APPROACH
2.3.4.2 TOP DOWN APPROACH
2.4 ASSUMPTIONS AND LIMITATIONS
2.5 YEARS CONSIDERED
1.1 MARKET DEFINITION
1.2 REPORT COVERAGE
1.2.1 MARKET CLASSIFICATION
1.2.1.1 MARKET SEGMENTATION BY HARDWARE
1.2.1.2 MARKET SEGMENTATION BY SOFTWARE
1.2.1.3 MARKET SEGMENTATION BY ANALYTIC SERVICE TYPES
1.2.1.4 MARKET SEGMENTATION BY ANALYTIC SERVICE APPLICATIONS
1.3 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH FLOW
2.2 FACTOR ANALYSIS
2.2.1 DEMAND SIDE FACTORS
2.2.2 SUPPLY SIDE FACTORS
2.3 RESEARCH DESIGN
2.3.1 RESEARCH PARAMETERS
2.3.2 SECONDARY RESEARCH
2.3.2.1 KEY DATA POINTS FROM SECONDARY SOURCES
2.3.3 PRIMARY RESEARCH
2.3.3.1 KEY DATA POINTS FROM PRIMARY SOURCES
2.3.4 DATA TRIANGULATION
2.3.4.1 BOTTOM UP APPROACH
2.3.4.2 TOP DOWN APPROACH
2.4 ASSUMPTIONS AND LIMITATIONS
2.5 YEARS CONSIDERED
Continued
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