U.S. Healthcare Payer Analytics Market Forecast Report

Dublin, June 23, 2025 (GLOBE NEWSWIRE) — The “U.S. Healthcare Payer Analytics Market Size, Share & Trends Analysis Report by Analytics Type (Descriptive Analytics), Component (Software), Delivery Model, Application with Growth Forecasts, 2025-2030” report has been added to ResearchAndMarkets.com’s offering.

The U.S. Healthcare Payer Analytics Market was valued at USD 5.90 billion in 2024, and is projected to reach USD 19.38 billion by 2030, rising at a CAGR of 21.50%.

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. Telehealth, a means to communicate with patients and doctors saw 38 times increase in adoption from pre-COVID times, as per McKinsey.

U.S. Healthcare Payer Analytics Market Report Highlights

• The descriptive analytics segment had the largest market share in 2024. This analytics type is widely used in process optimization and administrative activities.
• The on-premises segment dominated the market with a share of 47.0% in 2024. The healthcare industry is evolving in terms of technology.
• Based on application, the financial application segment dominated the market with the largest revenue share in 2024.
• Based on the components, the services segment had the largest market share of 42.4% in 2024.

This report addresses:

• Market intelligence to enable effective decision-making
• Market estimates and forecasts from 2018 to 2030
• Growth opportunities and trend analyses
• Segment and regional revenue forecasts for market assessment
• Competition strategy and market share analysis
• Product innovation listings for you to stay ahead of the curve

Companies Featured

The major companies featured in this U.S. Healthcare Payer Analytics market report include:

• CloudMedx
• DataSmart Solutions
• Amitech Solutions
• Caserta Concepts
• Greenway Health, LLC
• IMAT Solutions
• Health Catalyst
• Indegene
• IBM
• Optum
• Oracle
• Citius Tech
• MedeAnalytics
• Verisk Analytics, Inc.
• McKesson Medical-Surgical Inc.
• Veradigm
• IQVIA

Key Attributes:

Key Topics Covered:

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary
2.1. Market Snapshot
2.2. Segment Snapshot
2.3. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.1.1. Growing usage of AI/ML-Driven in payer analytics solutions
3.2.1.2. Declining payer profit margins of insurance companies
3.2.1.3. Increasing need for risk management and predictive insights
3.2.2. Market Restraint Analysis
3.2.2.1. Data privacy and Security Concerns
3.2.2.2. Shortage of qualified professionals
3.2.2.3. Complex regulatory environment
3.2.3. Market Opportunity Analysis
3.2.3.1. Expansion into predictive and prescriptive analytics
3.2.4. Market Threat Analysis
3.3. Business Environment Analysis

Chapter 4. U.S. Healthcare Payer Analytics Market: Analytics Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Descriptive Analytics
4.3. Predictive Analytics
4.4. Prescriptive Analytics
4.5. Diagnostic Analytics
4.6. Discovery Analytics

Chapter 5. U.S. Healthcare Payer Analytics Market: Component Estimates & Trend Analysis
5.1. Component Segment Dashboard
5.2. Component Market Share Movement Analysis, 2024 & 2030
5.3. Market Size & Forecasts and Trend Analysis, by Component, 2018 to 2030 (USD Million)
5.4. Software
5.5. Hardware
5.6. Services

Chapter 6. U.S. Healthcare Payer Analytics Market: Delivery Model Estimates & Trend Analysis
6.1. Delivery Model Segment Dashboard
6.2. Delivery Model Market Share Movement Analysis, 2024 & 2030
6.3. Market Size & Forecasts and Trend Analysis, by Delivery Model, 2018 to 2030 (USD Million)
6.4. On-premises
6.5. Web & cloud-based market, 2018-2030 (USD Million)
6.6. Web & cloud-based
6.7. Cloud-Based

Chapter 7. U.S. Healthcare Payer Analytics Market: Application Estimates & Trend Analysis
7.1. Application Segment Dashboard
7.2. Application Market Share Movement Analysis, 2024 & 2030
7.3. Market Size & Forecasts and Trend Analysis, by Application, 2018 to 2030 (USD Million)
7.4. Clinical
7.5. Financial
7.6. Operational and Administrative

Chapter 8. Competitive Landscape
8.1. Participant Overview
8.2. Company Market Position Analysis
8.3. Company Categorization
8.4. Strategy Mapping
8.5. Company Profiles

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• U.S. Healthcare Payer Analytics Market