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Healthcare Operational Analytics Market - Growth, Trends & Forecast (2020 - 2025)

  • ID: 4987297
  • Report
  • February 2020
  • Region: Global
  • 120 Pages
  • Mordor Intelligence

FEATURED COMPANIES

  • Cerner
  • IBM
  • McKesson corporation
  • Medeanalytics, Inc.
  • Optum, Inc.
  • Oracle
Operational analytics can provide with a way of addressing some of the major challenges that healthcare is facing right now like long waiting hours for patients and unavailability of required machines at the appropriate time, which again increases waiting time and can have disastrous results. These issues need immediate attention and are going to be the concern of every executive in the healthcare sector in the coming years. It has also enabled huge data organizations to improve quality at low cost which forms an essential part of implementing effective value-based care (VBC) programs.

One of the primary drivers for the healthcare operational analytics market is to enable value-based care (VBC) which is currently drawing enormous investments for the market. Another significant driver of the market is the need to analyze the rapid increase in the sum of data generated by electronic health records (EHRs), claims, medical devices and patients. This data can help to detect hidden patterns, enable self-learning systems and therefore deliver actionable insights to improve operational efficiency.

However, data privacy concerns and lack of skilled IT professionals in healthcare industry have been restraining the growth of the market.

Key Market Trends

Software Component is Expected to Register a High CAGR

Healthcare operational analytics software processes and analyzes the massive amounts of data that a health care organization regularly collects into actionable insight that impacts operational benefits, which is an important factor for positive patient outcomes. Healthcare analytics, also improves the collection, management, and sharing of operational data. Health care providers lean on the data warehouse that makes up a significant portion of healthcare analytics software to maintain the health of their organization, comply with changing industry legislature, and optimize both population health and individual patient management. These operational analytical solutions help organizations to increase efficiency, measure progress, and improve performance. These softwares are easy to implement, easy to use, and fully integrated with EHR, financial, and operational data to work and points your organization in the right direction.

Ease of use and growing benefits of operational analytics softwares in healthcare have resulted in increasing demand of these softwares, which is helping the market growth.

North America is Expected to Dominate the Market

The North American countries of the United States (US) and Canada have a developed and well-structured health care system. These systems also encourage research and development. These policies encourage global players to enter the US and Canada. Moreover, these countries have fast adoption rates. As a result, new technologies gain traction quickly in this region. High adoption rate also results in high demand, as these technologies are efficient and easy to use. As a result, these countries enjoy the presence of many global market players. As high and increasing demand is met by the presence of global players in the region, the market is further expected to increase.

Competitive Landscape

Majority of the healthcare operational analytics are being manufactured by the global key players. Market leaders with more funds for research and better distribution system have established their position in the market. Moreover, Asia-pacific is witnessing an emergence of some small players due to the rise of awareness. This has also helped the market grow.

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FEATURED COMPANIES

  • Cerner
  • IBM
  • McKesson corporation
  • Medeanalytics, Inc.
  • Optum, Inc.
  • Oracle

1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Increasing Demand for Value-Based Care (VBC)
4.2.2 Rising Need to Analyse the Collected Healthcare Data
4.2.3 Rising Awareness regarding Healthcare Standards and Improving Technologies
4.3 Market Restraints
4.3.1 Concerns regarding Data Privacy and Security
4.3.2 Lack of Trained IT Professionals in Healthcare
4.4 Porter's Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Type
5.1.1 Supply Chain Analytics
5.1.2 Human Resource Analytics
5.1.3 Strategic Analytics
5.2 By Component
5.2.1 Software
5.2.2 Hardware
5.2.3 Services
5.3 By Deployment
5.3.1 On-Premise
5.3.2 Web and Cloud Based
5.4 By End user
5.4.1 Hospitals and Clinics
5.4.2 Pharmaceutical and Biotechnology Companies
5.4.3 Others
5.5 Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.1.3 Mexico
5.5.2 Europe
5.5.2.1 Germany
5.5.2.2 United Kingdom
5.5.2.3 France
5.5.2.4 Italy
5.5.2.5 Spain
5.5.2.6 Rest of Europe
5.5.3 Asia- Pacific
5.5.3.1 China
5.5.3.2 Japan
5.5.3.3 India
5.5.3.4 Australia
5.5.3.5 South Korea
5.5.3.6 Rest of Asia-Pacific
5.5.4 Middle- East and Africa
5.5.4.1 GCC
5.5.4.2 South Africa
5.5.4.3 Rest of Middle East and Africa
5.5.5 South America
5.5.5.1 Brazil
5.5.5.2 Argentina
5.5.5.3 Rest of South America
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM
6.1.2 Allscripts Healthcare Solutions, Inc.
6.1.3 Cerner
6.1.4 McKesson corporation
6.1.5 Vizient, Inc.
6.1.6 Medeanalytics, Inc.
6.1.7 Optum, Inc.
6.1.8 Oracle
6.1.9 Verisk Analytics
7 MARKET OPPORTUNITIES AND FUTURE TRENDS
Note: Product cover images may vary from those shown

A selection of companies mentioned in this report includes:

  • IBM
  • Allscripts Healthcare Solutions, Inc.
  • Cerner
  • McKesson corporation
  • Vizient, Inc.
  • Medeanalytics, Inc.
  • Optum, Inc.
  • Oracle
  • Verisk Analytics
Note: Product cover images may vary from those shown

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