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North America Big Data Analytics in Healthcare Market Application, and End User: Opportunity Analysis and Industry Forecast, 2018 - 2025

  • ID: 4828875
  • Report
  • Region: North America, United States
  • 170 pages
  • Allied Analytics LLP
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North America Big Data Analytics In Healthcare Market Overview:

Big data analytics in healthcare is an analytic solution that derives insights on patient information and improves treatment techniques by enabling evidence-based disease prevention modeling, and diagnostic analysis. The key players, such as Allscripts, IBM Corporation, Optum, Epic, Microsoft, and others, provide innovative analytical solutions such as population health management, biometric analysis, clinical decision support, revenue cycle management, risk assessment, value-based analytics, and others to healthcare end users. In addition, big data analytics optimizes process-oriented expenditures in the healthcare industry by improving the population health, integrating performance modeling with financial and predictive care monitoring, and others.

Rise in demand for analytics for population health management solution, growth in healthcare expenditure, and increase in adoption of cloud analytics among several end users are some of the major factors that drive the growth of the North America big data analytics in the healthcare market. In addition, rise in government initiatives for supporting the adoption of healthcare analytics and regulatory provisions in the U.S. and Canada are expected to fuel the growth of the market. However, security concerns over patient information among end users and lack of skilled experts in healthcare analytics are the major factors that impede the market growth. Conversely, technological advancements and rise in application areas among various industry verticals are expected to provide lucrative opportunities for the growth of the North America market.

The North America big data analytics in the healthcare market is segmented into component, deployment, analytics type, application, end user, and country. In terms of component, the market is bifurcated into software and services. Based on deployment, it is fragmented into on-premise and cloud. Depending on analytics type, it is segregated into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics. By application, it is classified into clinical analytics, financial analytics, and operational analytics. Further, clinical analytics is sub segmented into radiology, surgery and others. By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Based on country, the big data analytics in healthcare market is analyzed across the U.S. and Canada.

The North America big data analytics in healthcare market is dominated by key players such as All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.

Key Benefits forNorth America Big Data Analytics In Healthcare Market:

The study presents an in-depth analysis of the North America big data analytics in healthcare market along with the current & future trends to elucidate the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on the market is provided in this study.
Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the North America big data analytics in healthcare industry.
The quantitative analysis of the market from 2017 to 2025 is provided to determine the market potential.

North America Big Data Analytics In Healthcare Key Market Segments:

By Component

Software
Services

By Deployment

On-premise
Cloud

By Analytics Type

Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytics

By Application

Clinical Analytics
Radiology
Surgery
Others
Financial Analytics
Operational Analytics

By End User

Hospitals & Clinics
Finance & Insurance Agencies
Research Organizations

By Country

U.S.
Canada

Key Market Players

All Scripts
Cerner
Dell EMC
Epic System Corporation
General Electric Healthcare
Hewlett Packard Enterprise (HPE)
International Business Machines (IBM) Corporation
Microsoft
Optum
Oracle Corporation
Note: Product cover images may vary from those shown
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CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. RESEARCH METHODOLOGY
1.3.1. Secondary research
1.3.2. Primary research
1.3.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE

CHAPTER 3: MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.4. MARKET DYNAMICS
3.4.1. Drivers
3.4.1.1. Increase in demand for analytics solutions for population health management
3.4.1.2. Rise in need for business intelligence to optimize health administration & strategy
3.4.1.3. Surge in adoption of big data among end users in the healthcare industry
3.4.2. Restraints
3.4.2.1. Security concerns related to sensitive patients medical data
3.4.2.2. Lack of skilled and expert staff
3.4.3. Opportunities
3.4.3.1. Increase in inclination toward cloud-based analytics solutions
3.4.3.2. Emerging trend in healthcare such as telehealth and innovations in genomics
3.5. MARKET SHARE ANALYSIS
3.6. MARKET LIFECYCLE
3.7. LIST OF COMPETITOR PRODUCTS BY APPLICATION
3.8. QUALITY MANAGEMENT
3.8.1. Ongoing Professional Practice Evaluation (OPPE):
3.8.2. Focused Professional Practice Evaluation (FPPE):
3.8.3. Meaningful Use (MU):

CHAPTER 4: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT
4.1. OVERVIEW
4.2. SOFTWARE
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by country
4.3. SERVICES
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by country

CHAPTER 5: BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT
5.1. OVERVIEW
5.2. ON-PREMISE
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by country
5.3. CLOUD
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by country

CHAPTER 6: BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE
6.1. OVERVIEW
6.2. DESCRIPTIVE ANALYTICS
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by country
6.3. PREDICTIVE ANALYTICS
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by country
6.4. PRESCRIPTIVE ANALYTICS
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by country
6.5. DIAGNOSTIC ANALYTICS
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by country

CHAPTER 7: BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION
7.1. OVERVIEW
7.2. CLINICAL ANALYTICS
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by country
7.2.3. Clinical Analytics by Application
7.2.3.1. Radiology
7.2.3.2. Surgery
7.2.3.3. Others
7.3. FINANCIAL ANALYTICS
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by country
7.4. OPERATIONAL ANALYTICS
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by country

CHAPTER 8: BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER
8.1. OVERVIEW
8.2. HOSPITALS & CLINICS
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by country
8.3. FINANCE & INSURANCE AGENCIES
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by country
8.4. RESEARCH ORGANIZATIONS
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by country

CHAPTER 9: BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY
9.1. OVERVIEW
9.2. U.S.
9.2.1. Market size and forecast, by component
9.2.2. Market size and forecast, by deployment
9.2.3. Market size and forecast, by analytics type
9.2.4. Market size and forecast, by application
9.2.5. Market size and forecast, by clinical analytics
9.2.6. Market size and forecast, by end user
9.3. CANADA
9.3.1. Market size and forecast, by component
9.3.2. Market size and forecast, by deployment
9.3.3. Market size and forecast, by analytics type
9.3.4. Market size and forecast, by application
9.3.5. Market size and forecast, by clinical analytics
9.3.6. Market size and forecast, by end user

CHAPTER 10: COMPANY PROFILE
10.1. ALLSCRIPTS
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Operating business segments
10.1.4. Product portfolio
10.1.5. Business performance
10.1.6. Key strategic moves and developments
10.2. CERNER CORPORATION
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Operating business segments
10.2.4. Product portfolio
10.2.5. Business performance
10.2.6. Key strategic moves and developments
10.3. DELL EMC
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves and developments
10.4. EPIC SYSTEMS CORPORATION
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Product portfolio
10.4.4. Key strategic moves and developments
10.5. GE HEALTHCARE
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.5.5. Business performance
10.5.6. Key strategic moves and developments
10.6. HEWLETT PACKARD ENTERPRISE (HPE)
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves and developments
10.7. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.7.6. Key strategic moves and developments
10.8. MICROSOFT CORPORATION
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Operating business segments
10.8.4. Product portfolio
10.8.5. Business performance
10.8.6. Key strategic moves and developments
10.9. ORACLE CORPORATION
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Operating business segments
10.9.4. Product portfolio
10.9.5. Business performance
10.9.6. Key strategic moves and developments
10.10. OPTUM, INC.
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.4. Product portfolio
10.10.5. Business performance
10.10.6. Key strategic moves and developments

*Full List of Tables and Figures Available on Enquiry.

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According to this report titled,'Big Data Analytics in Healthcare Market by Component, Deployment, Analytics Type, Application, and End User: North America Opportunity Analysis and Industry Forecast, 2018 - 2025,' the North America big data analytics in healthcare market size was valued at $9.36 billion in 2017, and is projected to reach $34.16 billion by 2025, growing at a CAGR of 17.7% from 2018 to 2025.

Rise in demand for analytics solution for population health management, increase in adoption of big data in the healthcare industry, the emerging trend of eHealth, shifting preference from a pay-for-service model, which financially rewards caregivers for performing procedures, to a value-based care model, rewarding them based on the health of their patient are some of the key factors that are expected to fuel the growth of the North America big data analytics in healthcare market. However, lack of skilled & expert staff and patient data security issues are expected to hamper the growth of the market.

North America big data analytics in healthcare market trends include adopting data warehouse optimization, customer analysis, fraud detection which is expected to create large number of opportunities during the forecast period. In addition, major players in this market are also enhancing their product portfolios by integrating machine learning (ML) and Artificial Intelligence (AI) technologies to make the analytics more advanced and effective. Further, big data and analytics is attracting support mostly in financial, retail and insurance industries, where there is an emphasis on engaging with the customer and understanding social perspectives of customers. Predictive analytics is emerging as a capability which permits organizations to make models that can predict customer behavior and other critical business information.

According to deployment mode, cloud deployment segment is anticipated to register highest growth rate during the forecast period owing to greater prospect to facilitate real business value to the organization through reduced cost and improved ability to focus on innovation and differentiation. In addition, direct IT control, internal data delivery & handling, faster data processing, efficient resource utilization, and cost-effectiveness of cloud deployment are some of the advantages offered by this model, which in turn are anticipated to boost the North America big data analytics in the healthcare market growth. Maintaining compliance for managing patient data, lifting legacy technology, and shifting to cloud are further contributing to the growth of cloud deployment segment in North America big data analytics in healthcare market.

The clinical application type segment dominated the North America big data analytics in healthcare market share in 2017, and is anticipated to maintain its dominance during the forecast period owing to its applications in population health management, radiology, surgery and others. However, financial analytics segment is anticipated to witness the highest growth rate during the forecast period due to the need for preventing or detection of frauds, revenue management.

Key Findings of theBig Data Analytics in Healthcare Market:
By component, the services segment is expected to exhibit significant growth during North America big data analytics in healthcare market forecast period.
In 2017, the on-premise segment accounted for the highest revenue in the deployment type category.
Based on application, the clinical analytics segment generated the highest revenue in 2017.
Based on end user, the hospitals & clinics segment generated the highest revenue in 2017.
Based on region, the U.S. led the North America big data analytics in healthcare market in terms of revenue in 2017.
Some of the key players operating in the North America big data analytics in healthcare industry include All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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