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U.S. Healthcare Payer Analytics Market Size, Share & Trends Analysis Report by Analytics Type, by Component Type, by Delivery Model, by Application, and Segment Forecasts, 2020-2027

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    Report

  • 150 Pages
  • November 2020
  • Region: United States
  • Grand View Research
  • ID: 5230423
U.S. Healthcare Payer Analytics Market Growth & Trends

The U.S. healthcare payer analytics market size is expected to reach USD 13.3 billion by 2027. The market is expected to expand at a CAGR of 24.1% from 2020 to 2027. The rising digitization of healthcare data is one of the key factors supporting market growth. In addition, the increasing shift from volume-based to value-based care is driving the market in the country. According to a report titled “2019 Payer Analytics Market Trends Report” published by IBM, payers have started adopting analytics technology for supporting the shift from Fee-for-Service (FFS) models to Value-based Care (VBC) models.

Based on analytics type, the descriptive segment accounted for the highest revenue share in 2019 owing to its increasing adoption in gaining actionable insights by analyzing historical data. On the other hand, the predictive segment is expected to exhibit the fastest growth during the forecast period owing to the benefit offered by this segment in enabling healthcare decision-makers to optimize healthcare delivery and reduce costs by recommending the best course of action for patients or providers.

In 2019, the services segment accounted for the highest revenue share owing to the ongoing trend of outsourcing due to the lack of resources and skill set required for the deployment of analytics. This segment is expected to be the fastest-growing segment during the forecast period. In addition, increasing EHR adoption, the surge in the adoption of big data in healthcare, growing adoption of data-driven decision-making, increasing pressure to curb healthcare spending & improve patient outcomes, and an increasing number of patient registries is further bolstering the segment growth.

Based on the delivery model, the on-premises segment accounted for the largest revenue share in 2019 owing to the ease of customization and the level of security and control offered by this delivery model. On the other hand, the cloud-based segment is anticipated to be the fastest-growing segment during the forecast period owing to extreme capacity flexibility, safe storage, and the pay-as-you-go pricing offered by this model.

In 2019, the financial application segment accounted for the highest revenue share owing to various initiatives, such as FPS that aids in saving costs and helps in avoiding fraud. This segment is expected to be the fastest-growing segment during the forecast period. Moreover, the increasing adoption of healthcare analytics to reduce healthcare spending coupled with increasing access to clinical data is further driving the market in the country.

U.S. Healthcare Payer Analytics Market Report Highlights
  • The descriptive segment dominated the market in 2019 owing to its benefits in gaining actionable insights.
  • The services component type segment dominated the market in 2019 owing to the increasing adoption of outsourcing various services due to a lack of skilled professionals.
  • The on-premises delivery model segment dominated the market in 2019 owing to enhanced security and control offered by the delivery model.
  • The financial services segment dominated the market and accounted for the largest revenue share in 2019.

Table of Contents

Chapter 1 Research Methodology
1.1 Research Methodology
1.1.1 Information Procurement
1.2 Information or Data Analysis
1.3 Market Formulation & Validation
1.3.1 Regional Market: CAGR Calculation
1.4 Region Based Segment Share Calculation
1.5 List Of Secondary Sources
1.6 List Of Primary Resources
Chapter 2 Executive Summary
2.1 Market Snapshot
Chapter 3 Market Variables, Trends & Scope
3.1 Penetration and Growth Prospect Mapping
3.2 U.S. Healthcare Payer Analytics: Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Increasing Adoption of Healthcare Analytics for transforming care management
3.2.1.2 Growing usage of big data in healthcare
3.2.1.3 Growing healthcare expenditure
3.2.2 MARKET RESTRAINT ANALYSIS
3.2.2.1 Data privacy and theft issues
3.2.2.2 Shortage of qualified professionals
3.2.3 Market Challenge Analysis
3.2.3.1 Barriers Associated With Implementation Of Predictive Analytics
3.2.4 Market Opportunity Analysis
3.2.4.1 Growing penetration of healthcare analytics is providing opportunities for performance improvement
3.3 Impact of COVID-19 on Healthcare Analytics for Payers
3.4 U.S. Healthcare Analytics for Payers Industry Analysis - Porter’s
3.4.1 Supplier Power - Low
3.4.2 Buyer Power - Moderate
3.4.3 Substitution Threat - Low
3.4.4 Threat Of New Entrants - Moderate
3.4.5 Competitive Rivalry - High
3.5 U.S. Healthcare Analytics For Payers Industry Analysis - PEST
3.5.1 Political and Legal Landscape
3.5.2 Economic and Social Landscape
3.5.3 Technology Landscape
3.6 Major Deals & Strategic Alliances Analysis
3.6.1 Partnerships, Joint Ventures, Collaborations & Licensing
3.6.2 Mergers and Acquisitions
3.6.3 Investments and Product Launches
Chapter 4 U.S. Healthcare Payer Analytics Market: Analytics Type Estimates & Trend Analysis
4.1 Analytics Type Movement Analysis & Market Share, 2019 & 2027
4.1.1 Descriptive Analytics
4.1.1.1 Descriptive Analytics Market Estimates and Forecasts, 2016 - 2027 (USD Million)
4.1.2 Predictive Analytics
4.1.2.1 Predictive Analytics Market Estimates and Forecasts, 2016 - 2027 (USD Million)
4.1.3 Prescriptive Analytics
4.1.3.1 Prescriptive Analytics Market Estimates and Forecasts, 2016 - 2027 (USD Million)
Chapter 5 U.S. Healthcare Payer Analytics Market: Component Estimates & Trend Analysis
5.1 Component Movement Analysis & Market Share, 2019 & 2027
5.1.1 Software
5.1.1.1 Software Market Estimates and Forecasts, 2016 - 2027 (USD Million)
5.1.2 Hardware
5.1.2.1 Hardware Market Estimates and Forecasts, 2016 - 2027 (USD Million)
5.1.3 Services
5.1.3.1 Services Market Estimates and Forecasts, 2016 - 2027 (USD Million)
Chapter 6 U.S. Healthcare Payer Analytics Market: Delivery Model Estimates & Trend Analysis
6.1 Delivery Model Movement Analysis & Market Share, 2019 & 2027
6.1.1 On-Premises
6.1.1.1 On-Premises estimates and Forecasts, 2016 - 2027 (USD Million)
6.1.2 Web-Based
6.1.2.1 Web Based Market Estimates and Forecasts, 2016 - 2027 (USD Million)
6.1.3 Cloud-Based
6.1.3.1 Cloud-Based Market Estimates and Forecasts, 2016 - 2027 (USD Million)
Chapter 7 U.S. Healthcare Payer Analytics Market: Application Estimates & Trends Analysis
7.1 Application Movement Analysis & Market Share, 2019 & 2027
7.1.1 Clinical
7.1.1.1 Clinical Market Estimates and Forecasts, 2016 - 2027 (USD Million)
7.1.2 Financial
7.1.2.1 Financial Market Estimates and Forecasts, 2016 - 2027 (USD Million)
7.1.3 Operational and Administrative
7.1.3.1 Operational and Administrative Market Estimates and forecasts, 2016 - 2027 (USD Million)
Chapter 8 Competitive Analysis
8.1 Recent Developments & Impact Analysis, By Key Market Participants
8.2 Company Categorization (Key Innovators, Market Leaders, Emerging Players)
8.3 Vendor Landscape
8.3.1 Public Companies
8.3.2 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)
8.3.3 Private Companies
8.3.3.1 List Of Key Emerging Companies/Technology Disruptors/Innovators
8.3.3.2 Regional Network Map
Chapter 9 Competitive Landscape
9.1 Company Profiles
9.1.1 IBM
9.1.1.1 Company overview
9.1.1.2 Financial performance
9.1.1.3 Product benchmarking
9.1.1.4 Strategic initiatives
9.1.2 OPTUM, INC.
9.1.2.1 Company overview
9.1.2.2 Financial performance
9.1.2.3 Product benchmarking
9.1.2.4 Strategic initiatives
9.1.3 ORACLE
9.1.3.1 Company overview
9.1.3.2 Financial performance
9.1.3.3 Product benchmarking
9.1.4 HMS
9.1.4.1 Company overview
9.1.4.2 Financial performance
9.1.4.3 Product benchmarking
9.1.4.4 Strategic initiatives
9.1.5 CITIUSTECH, INC.
9.1.5.1 Company overview
9.1.5.2 Financial performance
9.1.5.3 Product benchmarking
9.1.5.4 Strategic initiatives
9.1.6 MEDEANALYTICS, INC.
9.1.6.1 Company overview
9.1.6.2 Financial performance
9.1.6.3 Product benchmarking
9.1.6.4 Strategic initiatives
9.1.7 MCKESSON CORPORATION
9.1.7.1 Company overview
9.1.7.2 Financial performance
9.1.7.3 Product benchmarking
9.1.7.4 Strategic initiatives
9.1.8 ALLSCRIPTS HEALTHCARE, LLC
9.1.8.1 Company overview
9.1.8.2 Financial performance
9.1.8.3 Product benchmarking
9.1.8.4 Strategic initiatives
9.1.9 CERNER CORPORATION
9.1.9.1 Company overview
9.1.9.2 Financial performance
9.1.9.3 Product benchmarking
9.1.9.4 Strategic initiatives
9.1.10 SAS INSTITUTE, INC.
9.1.10.1 Company overview
9.1.10.2 Financial performance
9.1.10.3 Product benchmarking
9.1.10.4 Strategic initiatives
List of Tables
Table. 1 List of secondary sources
List of Figures
Fig. 1 Market research process
Fig. 2 Information procurement
Fig. 3 Primary research pattern
Fig. 4 Market research approaches
Fig. 5 Value chain-based sizing & forecasting
Fig. 6 QFD modeling for market share assessment
Fig. 7 Market formulation & validation
Fig. 8 Market summary, 2019 (USD Million)
Fig. 9 Market Variables and Trends Analysis
Fig. 10 Penetration & growth prospect mapping
Fig. 11 Market driver relevance analysis (Current & future impact)
Fig. 12 Market restraint relevance analysis (Current & future impact)
Fig. 13 Competitive Dashboard Analysis
Fig. 14 U.S. Healthcare Payer Analytics Market analytics type outlook: Key Takeaways
Fig. 15 U.S. Healthcare Payer Analytics Market: Analytics type movement analysis, 2019 & 2027 (USD Million)
Fig. 16 Descriptive analytics market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 17 Predictive analytics market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 18 Prescriptive analytics market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 19 U.S. Healthcare Payer Analytics Market component outlook: Key takeaways
Fig. 20 U.S. Healthcare Payer Analytics Market: Component movement analysis, 2019 & 2027 (USD Million)
Fig. 21 Software market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 22 Hardware market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 23 Services market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 24 U.S. Healthcare Payer Analytics Market delivery model outlook: Key takeaways
Fig. 25 U.S. Healthcare Payer Analytics Market: Delivery model movement analysis, 2019 & 2027 (USD Million)
Fig. 26 On-Premises market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 27 Web-based market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 28 Cloud-based market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 29 U.S. Healthcare Payer Analytics Market application outlook: Key takeaways
Fig. 30 U.S. Healthcare Payer Analytics Market: Application movement analysis, 2019 & 2027 (USD Million)
Fig. 31 Clinical market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 32 Financial market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 33 Operational and Administrative market estimates and forecasts, 2016 - 2027 (USD Million)
Fig. 34 Company Categorization
Fig. 35 Company Market Position Analysis, 2019

Companies Mentioned

  • IBM
  • OPTUM, INC.
  • ORACLE
  • HMS
  • CITIUSTECH, INC.
  • MEDEANALYTICS, INC.
  • MCKESSON CORPORATION
  • ALLSCRIPTS HEALTHCARE, LLC
  • CERNER CORPORATION
  • SAS INSTITUTE, INC.

Methodology

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