U.S. Healthcare Payer Analytics Market Size, Share, And Trend Analysis Report By Analytics Type (Descriptive Analytics), By Component (Software), By Delivery Model, By Application, And Segment- Industry Analysis, Share, Growth, Regional Outlook and Forecasts, 2023-2032

The U.S. healthcare payer analytics market size was estimated at USD 4.22 billion in 2022 and is expected to surpass around USD 31.3 billion by 2032 and poised to grow at a compound annual growth rate (CAGR) of 22.2% during the forecast period 2023 to 2032.

U.S. Healthcare Payer Analytics Market Size, 2023 to 2032

Key Takeaways:

  • The descriptive analytics segment had the largest market share of 35.19% in 2022.
  • The fastest growing segment is predictive analysis, with a CAGR of 26.5% for the forecast period.
  • On-premises delivery model dominated the market with a share of 48.16% in 2022.
  • The fastest-growing sub-segment anticipated to register the fastest growth rate of 25.8%.
  • The financial application segment dominated the market with a revenue share of 36.7% in 2022.
  • Financial is anticipated to register the fastest growth rate of 23.2%, it is expected to grow at a substantial rate during the forecast period.
  • In the component segment, the services had the largest market share of 42.8% as of 2022.
  • In 2022, services accounted for the largest revenue share of 42.1%, the services segment was recorded to have the fastest growth rate of 22.8%.

U.S. Healthcare Payer Analytics Market Report Scope

Report Attribute Details
Market Size in 2023 USD 5.15 Billion
Market Size by 2032 USD 31.3 Billion
Growth Rate From 2023 to 2032 CAGR of 22.2%
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered Analytics type, Component, Delivery mode, Application
Market Analysis (Terms Used) Value (US$ Million/Billion) or (Volume/Units)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Key Companies Profiled CitiusTech, Inc.; Oracle; Cerner Corporation; SAS Institute, Inc.; Allscripts Healthcare, LLC; McKesson Corporation; MedeAnalytics, Inc.; HMS; IBM; Optum, Inc.

 

The digital advancements in the healthcare field, and the digitization of records, are one of the key factors driving the growth of this market. Adoption of such technologies is on an upward trend thus propelling the market. Digital data is being used to derive meaningful results, cost reduction, and minimize fraudulent insurance claims. 

The U.S. government has been increasingly spending on healthcare and focusing on improving digital infrastructure, which is boosting technological advancements in the field. Due to technological advancements, decision-making for payers and healthcare providers has become easier with the help of analytical tools. The overall increase in healthcare expenditure has amounted to more than USD 4 trillion in the year 2020. It is not only helping the healthcare industry develop faster but has also made healthcare more affordable and precise. 

The healthcare analytical tools are helping administrators and policymakers in determining what is the best course of action, how successful is it going to be, and how much cost can be saved by cutting unnecessary expenditures. For insurance companies, analytical tools have helped in recognizing patterns of insurance fraud and in turn saving billions of dollars per year. Doctors’ analytical tools have helped to determine the best treatment plans for a particular patient by studying and analyzing their history. 

In the analytics type, the descriptive analysis held the largest market share of 358% in 2022. Descriptive analytics has been widely used during COVID by various research organizations as well as laboratories, to determine how contagious the virus is by studying the past and present tests being conducted for coronavirus. Descriptive analytics analyzes data to derive meaningful results and can significantly impact future decisions. The fastest-growing was the predictive analytics segment, this helps in charting the best treatment plan for a personalized treatment plan, it can help the doctor to find out what works best for a patient and can give better treatment outcomes. 

In the components, the service segment dominated the market in 2022. Since the majority of establishments do not have an analytics department, it is generally outsourced to industry experts which saves the cost of training and teaching the staff about tools and methods. The fastest-growing component was the hardware, with rapid investment in healthcare IT, the need for better computers and hardware components has been responsible for the growth of the market. 

Currently, the largest market share is held by the on-premises delivery model. Healthcare organizations have been opting for the installment of analytical tools and software. The on-premises installation results in less theft of data and provide easier access and maintenance of data and patient records. However, cloud-based storage has been gaining popularity due to ease of storage, and minimum requirement of setup, which has been a key driving factor for the growth of the market.

 In the applications segment, the largest market share is currently held by financial applications. Private and government facilities have been increasingly adopting analytics for financial applications. Healthcare analytics is being used for claim settlement, risk analysis, and identifying frauds in insurance claims. The fastest-growing application is also financial applications, for use in identifying frauds related to insurance which cost the payers billions of dollars per year. These factors have contributed significantly to the growth of the healthcare payer analytics market. 

The COVID-19 pandemic created a huge opportunity for the healthcare analytics market. The amount of patient data generated during the pandemic has greatly helped in studying how the disease spreads, how contagious it is, and what implications it can have on people. Economies around the world have suffered gravely due to supply chain disruptions saw a decline in the market, but the usage and rate of adoption of analytics have increased overall. 

Analytics Insights

The descriptive analytics segment had the largest market share of 35.19% in 2022. This analytics type is the most widely used in process optimization as well as administrative activities. This method analyzes past as well as present data to bring forth meaningful information or a pattern that can significantly impact future decisions. Specifically, for COVID, it has been used to determine how contagious the virus is by studying the rate of positive COVID tests in a given population over a specific time. 

The fastest growing segment is predictive analysis, with a CAGR of 26.5% for the forecast period. Predictive data analytics helps care providers to course the best treatment plan for the patients for better outcomes. Personalized care has been gaining a lot of momentum and predictive analysis has proved useful to understand the specific treatment needs of each patient and enables providers to offer the best treatment plans. 

Delivery Model Insights

On-premises delivery model dominated the market with a share of 48.16% in 2022. The healthcare industry is evolving in terms of technology, the use of on-premise models has largely been adopted by the industry, and it has many benefits like better access to data, reduced chances of theft of data, reduced cost, and ease of maintenance. On-premises storing of data has the biggest downside of storage capacity limitations making it a huge hurdle in the growth of this segment. 

Cloud-based storage and improvement in privacy concerns have made the cloud-based delivery model the fastest-growing sub-segment anticipated to register the fastest growth rate of 25.8%. The rapid adoption of this delivery model by healthcare organizations has resulted in the rapid growth of the sub-segment. The biggest hindrance posed by the on-premise storage is easily managed by a cloud-based solution, since there are no capacity limitations, the data that can be stored is huge and requires minimal setup by the organization, which has resulted in the growth of the market. 

Application Insights

The financial application segment dominated the market with a revenue share of 36.7% in 2022, the increased rate of adoption by government and private facilities alike has been the main factor driving the growth of the market. A number of financial applications can save millions in fraudulent claims, claims settlement, and risk analysis for insurance companies. According to National Healthcare Anti-Fraud Association, healthcare frauds in the U.S. amount to nearly $80 billion per year. The use of healthcare analytics can not only reduce incidences of fraud but can also optimize insurance plans and recover losses. 

Financial is anticipated to register the fastest growth rate of 23.2%, it is expected to grow at a substantial rate during the forecast period. Increased implications related to financial aspects have been a primary driving factor for the growth of the healthcare payer analytics market. With the help of this application payers which includes insurance companies, third-party payers, etc. can optimize their plans for the maximum benefit of patients and also save funds by recognizing fraudulent claims. 

Component Insights

In the component segment, the services had the largest market share of 42.8% as of 2022. Outsourcing of data has been the recent trend in this segment, this not only offers the establishments to get the data analyzed from industry experts but also saves the cost of training and educating their staff to do the same.

In 2022, services accounted for the largest revenue share of 42.1%, the services segment was recorded to have the fastest growth rate of 22.8%, the lack of appropriate staff for analytics in the industry is a major driver for the growth of this segment. Due to this the analytics part is often outsourced and is thus helping the service sector grow, in turn helping the growth of healthcare payer analytics.

Key Companies & Market Share Insights

The increase in the adoption of healthcare analytics across the industry vertical has been the primary factor responsible for the growth of the market. Ease of data understanding, as well as better outcomes, have also contributed significantly to market growth. The market is witnessing a surge in demand for advanced payer analytics owing to the growing healthcare costs and the need for organizations to devise strategies to curb expenditure. 

Market players are focusing on innovating advanced solutions which could help organizations plan their financial budgets efficiently, avoid improper payments & frauds, and effectively assess risk. Healthcare payers comprise insurance companies and health plan sponsors (employers and unions) and they use analytical solutions to expand their business, improve healthcare services, and quality and minimize administrative costs. 

Some of the renowned players are IBM, Oracle, CloudMedX, and DataSmart Solutions. These key players are focusing on devising their mergers & acquisition and partnership strategies to expand their business outreach & geographical presence. For instance, in February 2021, IBM Watson Health and Humana Inc. collaborated on IBM’s artificial intelligence solution to enhance the member experience for Humana Employer Group members. Some of the key players operating in the U.S. healthcare payer analytics market include

  • CloudMedx
  • DataSmart Solutions
  • Amitech Solutions
  • Altegra Health
  • Caserta Concepts
  • Greenway Health, LLC
  • IMAT Solutions
  • Health Catalyst
  • Indegene
  • IBM
  • Optum
  • Oracle
  • HMS
  • Citius Tech
  • MedeAnalytics

Segments Covered in the Report

This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the U.S. Healthcare Payer Analytics market.

By Analytics Type 

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics

By Component 

  • Software
  • Hardware
  • Services

By Delivery Model 

  • On–Premises
  • Web-Hosted
  • Cloud-Based

By Application 

  • Clinical
  • Financial
  • Operational & Administrative

Frequently Asked Questions

The U.S. healthcare payer analytics market size was estimated at USD 4.22 billion in 2022 and is expected to surpass around USD 31.3 billion by 2032

The U.S. healthcare payer analytics market registered a CAGR of 22.2% from 2023 to 2032

Some key players operating in the U.S. healthcare payer analytics market include Oracle, IBM, Cerner Corporation, SAS Institute, Inc., McKesson Corporation, HMS, and Optum, Inc.

Key factors that are driving the U.S. healthcare payer analytics market growth include increasing medicare reimbursement, the pressure to curb healthcare costs, and the adoption of advanced analytics in healthcare data management.

Chapter 1. Methodology and Scope
                    1.1. Market Segmentation and Scope
                    1.2. Research Methodology
                         1.2.1. Information Procurement
                    1.3. Information or Data Analysis
                    1.4. Methodology
                    1.5. Research Scope and Assumptions
                    1.6. Market Formulation & Validation
                         1.6.1. COUNTRY MARKET: CAGR CALCULATION
                    1.7. List of Data Sources
Chapter 2. Executive Summary
                    2.1. Market Outlook
                    2.2. Segment Outlook
                    2.3. Competitive Insights
                    2.4. U.S. Healthcare Payer Analytics Market Snapshot
                    2.5. U.S. Healthcare Payer Analytics Market Segment Snapshot
                    2.6. U.S. Healthcare Payer Analytics Market Competitive Landscape Snapshot
Chapter 3. U.S. Healthcare Payer Analytics Market Variables, Trends, & Scope
                    3.1. Market Lineage Outlook
                    3.2. 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. U.S. Healthcare Payer Analytics Market Analysis Tools
                         3.3.1. Industry Analysis – Porter’s
                              3.3.1.1. Bargaining power of the suppliers
                              3.3.1.2. Bargaining power of the buyers
                              3.3.1.3. Threats of substitution
                              3.3.1.4. Threats from new entrants
                              3.3.1.5. Competitive rivalry
                         3.3.2. PESTEL Analysis
                              3.3.2.1. Political landscape
                              3.3.2.2. Economic and Social landscape
                              3.3.2.3. Technological landscape
                    3.4. Impact of COVID-19 on U.S. Healthcare Payer Analytics Market
Chapter 4. U.S. Healthcare Payer Analytics Market: Type Estimates & Trend Analysis
                    4.1. Segment Dashboard
                    4.2. U.S. Healthcare Payer Analytics Market: Type Movement Analysis, USD Million, 2023 & 2032
                    4.3. Descriptive Analytics
                         4.3.1. Descriptive Analytics Market Revenue Estimates and Forecasts, 2020 - 2032
                    4.4. Predictive Analytics
                         4.4.1. Predictive Analytics Market Revenue Estimates and Forecasts, 2020 - 2032
                    4.5. Prescriptive Analytics
                         4.5.1. Prescriptive Analytics Market Revenue Estimates and Forecasts, 2020 - 2032
Chapter 5. U.S. Healthcare Payer Analytics Market: Component Estimates & Trend Analysis
                    5.1. Segment Dashboard
                    5.2. U.S. Healthcare Payer Analytics Market: Component Movement Analysis, USD Million, 2023 & 2032
                    5.3. Software
                         5.3.1. Software Market Revenue Estimates and Forecasts, 2020 - 2032
                    5.4. Hardware
                         5.4.1. Hardware Market Revenue Estimates and Forecasts, 2020 - 2032
                    5.5. Services
                         5.5.1. Services Market Revenue Estimates and Forecasts, 2020 - 2032
Chapter 6. U.S. Healthcare Payer Analytics Market: Delivery Model Estimates & Trend Analysis
                    6.1. Segment Dashboard
                    6.2. U.S. Healthcare Payer Analytics Market: Delivery Model Movement Analysis, USD Million, 2023 & 2032
                    6.3. On-premises
                         6.3.1. On-premises Market Revenue Estimates and Forecasts, 2020 - 2032
                    6.4. Web-Based
                         6.4.1. Web-Based Market Revenue Estimates and Forecasts, 2020 - 2032
                    6.5. Cloud-Based
                         6.5.1. Cloud-Based Market Revenue Estimates and Forecasts, 2020 - 2032
Chapter 7. U.S. Healthcare Payer Analytics Market: Application Estimates & Trend Analysis
                    7.1. Segment Dashboard
                    7.2. U.S. Healthcare Payer Analytics Market: Application Movement Analysis, USD Million, 2023 & 2032
                    7.3. Clinical
                         7.3.1. Clinical Market Revenue Estimates and Forecasts, 2020 - 2032
                    7.4. Financial
                         7.4.1. Financial Market Revenue Estimates and Forecasts, 2020 - 2032
                    7.5. Operational and Administrative
                         7.5.1. Operational and Administrative Market Revenue Estimates and Forecasts, 2020 - 2032
Chapter 8. Competitive Landscape
                    8.1. Company Categorization
                    8.2. Company Market Share Analysis, 2023
                    8.3. Strategy Mapping
                    8.4. Company Profiles/Listing
                         8.4.1. IBM
                              8.4.1.1. Overview
                              8.4.1.2. Financial Performance (Net Revenue)
                              8.4.1.3. Product Benchmarking
                              8.4.1.4. Strategic Initiatives
                         8.4.2. Optum, Inc.
                              8.4.2.1. Overview
                              8.4.2.2. Financial Performance (Net Revenue)
                              8.4.2.3. Product Benchmarking
                              8.4.2.4. Strategic Initiatives
                         8.4.3. Oracle
                              8.4.3.1. Overview
                              8.4.3.2. Financial Performance (Net Revenue)
                              8.4.3.3. Product Benchmarking
                              8.4.3.4. Strategic Initiatives
                         8.4.4. HMS
                              8.4.4.1. Overview
                              8.4.4.2. Financial Performance (Net Revenue)
                              8.4.4.3. Product Benchmarking
                              8.4.4.4. Strategic Initiatives
                         8.4.5. Citiustech, Inc.
                              8.4.5.1. Overview
                              8.4.5.2. Financial Performance (Net Revenue)
                              8.4.5.3. Product Benchmarking
                              8.4.5.4. Strategic Initiatives
                         8.4.6. Medeanalytics, Inc.
                              8.4.6.1. Overview
                              8.4.6.2. Financial Performance (Net Revenue)
                              8.4.6.3. Product Benchmarking
                              8.4.6.4. Strategic Initiatives
                         8.4.7. Mckesson Corporation
                              8.4.7.1. Overview
                              8.4.7.2. Financial Performance (Net Revenue)
                              8.4.7.3. Product Benchmarking
                              8.4.7.4. Strategic Initiatives
                         8.4.8. Allscripts Healthcare, Llc
                              8.4.8.1. Overview
                              8.4.8.2. Financial Performance (Net Revenue)
                              8.4.8.3. Product Benchmarking
                              8.4.8.4. Strategic Initiatives
                         8.4.9. Cerner Corporation
                              8.4.9.1. Overview
                              8.4.9.2. Financial Performance (Net Revenue)
                              8.4.9.3. Product Benchmarking
                              8.4.9.4. Strategic Initiatives
                         8.4.10. Sas Institute, Inc.
                              8.4.10.1. Overview
                              8.4.10.2. Financial Performance (Net Revenue)
                              8.4.10.3. Product Benchmarking
                              8.4.10.4. Strategic Initiatives

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