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North America AI In Revenue Cycle Management Market Size, Share & Industry Analysis Report By Type, By Delivery Mode, By End Use, By Product, By Application, By Country and Growth Forecast, 2025 - 2032

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    Report

  • 185 Pages
  • June 2025
  • Region: North America
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6107851
The North America AI In Revenue Cycle Management Market is expected to witness market growth of 23.3% CAGR during the forecast period (2025-2032).

The US market dominated the North America AI In Revenue Cycle Management Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $39.70 billion by 2032. The Canada market is experiencing a CAGR of 26% during 2025-2032. Additionally, the Mexico market is expected to exhibit a CAGR of 24.9% during 2025-2032.



Artificial Intelligence (AI) has rapidly emerged as a transformative force across various sectors of the global economy, with the healthcare industry experiencing particularly profound change. Among the critical domains within healthcare, Revenue Cycle Management (RCM) stands out as an area where AI’s potential to drive efficiency, accuracy, and financial sustainability is increasingly evident. The integration of AI into RCM is reshaping how healthcare providers, payers, and associated stakeholders manage the complex web of administrative and financial processes required to track patient care episodes, from registration and appointment scheduling to final payment of a balance.

Revenue Cycle Management encompasses the comprehensive process of capturing, managing, and collecting patient service revenue, a cycle that begins at the time a patient schedules an appointment and concludes when the healthcare provider receives full payment for services rendered. Traditionally, RCM has been fraught with challenges, including manual data entry errors, fragmented workflows, claim denials, coding inaccuracies, delayed payments, and regulatory compliance complexities.

The United States is the world’s leading market for artificial intelligence in revenue cycle management, owing to its vast and complex healthcare ecosystem. The U.S. healthcare sector encompasses thousands of hospitals, clinics, payers, and physician groups, all operating under a multi-payer insurance model with a heavy administrative load. Rising healthcare costs, frequent coding updates, and mounting regulatory pressures have made the adoption of AI-powered RCM solutions a top priority for providers seeking to improve both profitability and patient care.

Canada’s publicly funded healthcare system is increasingly turning to artificial intelligence in revenue cycle management to address operational inefficiencies and meet rising expectations for service delivery. The country’s universal health coverage model, while eliminating the complexities of multi-payer billing, still faces challenges related to resource allocation, administrative burdens, and the integration of disparate provincial healthcare systems.

Mexico’s healthcare system is marked by a mix of public and private providers, with significant variation in quality, efficiency, and financial management across the sector. In recent years, the adoption of artificial intelligence in revenue cycle management has begun to accelerate as hospitals, insurers, and clinics recognize the benefits of automation in reducing administrative burdens and improving revenue collection.

List of Key Companies Profiled

  • R1 RCM, Inc. (TowerBrook Capital Partners L.P.)
  • Athenahealth, Inc. (Bain Capital, LP.)
  • McKesson Corporation
  • Oracle Corporation
  • Veradigm, Inc.
  • eClinicalWorks LLC
  • CareCloud, Inc.
  • Infinx, Inc.
  • UnitedHealth Group, Inc. (Optum, Inc.)
  • Experian Information Solutions, Inc. (Experian plc)

Market Report Segmentation

By Type

  • Integrated
  • Standalone

By Delivery Mode

  • Cloud-based
  • Web-based
  • On-premise

By End Use

  • Physician Back Offices
  • Hospitals
  • Diagnostic Laboratories
  • Other End Use

By Application

  • Claims Management
  • Medical Coding & Charge Capture
  • Financial Analytics & KPI Monitoring
  • Payment Posting & Remittance
  • Other Application

By Product

  • Software
  • Services

By Country

  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America AI In Revenue Cycle Management Market, by Type
1.4.2 North America AI In Revenue Cycle Management Market, by Delivery Mode
1.4.3 North America AI In Revenue Cycle Management Market, by End Use
1.4.4 North America AI In Revenue Cycle Management Market, by Application
1.4.5 North America AI In Revenue Cycle Management Market, by Product
1.4.6 North America AI In Revenue Cycle Management Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2021-2025)
4.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2023, Feb - 2025, Apr) Leading Players
4.4 Porter Five Forces Analysis
Chapter 5. Value Chain Analysis of AI In Revenue Cycle Management Market
5.1 Research & Development (R&D) and Innovation
5.2 Data Aggregation & Preprocessing
5.3 Product Development & Platform Engineering
5.4 Marketing & Sales Enablement
5.5 Implementation & Integration Services
5.6 Operations & Support
5.7 Outcomes Monitoring & Optimization
5.8 Ecosystem Partnerships & Compliance
Chapter 6. Key Customer Criteria - AI In Revenue Cycle Management Market
6.1 Accuracy of AI Solutions
6.2 Integration Capability
6.3 Data Security & Compliance
6.4 Return on Investment (ROI) & Cost Efficiency
6.5 Ease of Use & Training Requirements
6.6 Scalability & Flexibility
6.7 Vendor Support & Reputation
6.8 Advanced Analytics & Reporting
6.9 Speed of Implementation
6.10. Customization and Localization
Chapter 7. North America AI In Revenue Cycle Management Market by Type
7.1 North America Integrated Market by Region
7.2 North America Standalone Market by Region
Chapter 8. North America AI In Revenue Cycle Management Market by Delivery Mode
8.1 North America Cloud-based Market by Country
8.2 North America Web-based Market by Country
8.3 North America On-premise Market by Country
Chapter 9. North America AI In Revenue Cycle Management Market by End Use
9.1 North America Physician Back Offices Market by Country
9.2 North America Hospitals Market by Country
9.3 North America Diagnostic Laboratories Market by Country
9.4 North America Other End Use Market by Country
Chapter 10. North America AI In Revenue Cycle Management Market by Application
10.1 North America Claims Management Market by Country
10.2 North America Medical Coding & Charge Capture Market by Country
10.3 North America Financial Analytics & KPI Monitoring Market by Country
10.4 North America Payment Posting & Remittance Market by Country
10.5 North America Other Application Market by Country
Chapter 11. North America AI In Revenue Cycle Management Market by Product
11.1 North America Software Market by Country
11.2 North America Services Market by Country
Chapter 12. North America AI In Revenue Cycle Management Market by Country
12.1 US AI In Revenue Cycle Management Market
12.1.1 US AI In Revenue Cycle Management Market by Type
12.1.2 US AI In Revenue Cycle Management Market by Delivery Mode
12.1.3 US AI In Revenue Cycle Management Market by End Use
12.1.4 US AI In Revenue Cycle Management Market by Application
12.1.5 US AI In Revenue Cycle Management Market by Product
12.2 Canada AI In Revenue Cycle Management Market
12.2.1 Canada AI In Revenue Cycle Management Market by Type
12.2.2 Canada AI In Revenue Cycle Management Market by Delivery Mode
12.2.3 Canada AI In Revenue Cycle Management Market by End Use
12.2.4 Canada AI In Revenue Cycle Management Market by Application
12.2.5 Canada AI In Revenue Cycle Management Market by Product
12.3 Mexico AI In Revenue Cycle Management Market
12.3.1 Mexico AI In Revenue Cycle Management Market by Type
12.3.2 Mexico AI In Revenue Cycle Management Market by Delivery Mode
12.3.3 Mexico AI In Revenue Cycle Management Market by End Use
12.3.4 Mexico AI In Revenue Cycle Management Market by Application
12.3.5 Mexico AI In Revenue Cycle Management Market by Product
12.4 Rest of North America AI In Revenue Cycle Management Market
12.4.1 Rest of North America AI In Revenue Cycle Management Market by Type
12.4.2 Rest of North America AI In Revenue Cycle Management Market by Delivery Mode
12.4.3 Rest of North America AI In Revenue Cycle Management Market by End Use
12.4.4 Rest of North America AI In Revenue Cycle Management Market by Application
12.4.5 Rest of North America AI In Revenue Cycle Management Market by Product
Chapter 13. Company Profiles
13.1 R1 RCM, Inc. (TowerBrook Capital Partners L.P.)
13.1.1 Company Overview
13.1.2 Recent Strategies and Developments
13.1.2.1 Partnerships, Collaborations, and Agreements
13.1.2.2 Acquisition and Mergers
13.2 Athenahealth, Inc. (Bain Capital, LP.)
13.2.1 Company overview
13.2.2 Recent Strategies and Developments
13.2.2.1 Product Launches and Product Expansions
13.3 McKesson Corporation
13.3.1 Company Overview
13.3.2 Financial Analysis
13.3.3 Segmental Analysis
13.3.4 Research & Development Expense
13.3.5 SWOT Analysis
13.4 Oracle Corporation
13.4.1 Company Overview
13.4.2 Financial Analysis
13.4.3 Segmental and Regional Analysis
13.4.4 Research & Development Expense
13.4.5 SWOT Analysis
13.5 Veradigm, Inc.
13.5.1 Company Overview
13.5.2 Recent Strategies and Developments
13.5.2.1 Acquisition and Mergers
13.5.3 SWOT Analysis
13.6 eClinicalWorks LLC
13.6.1 Company Overview
13.6.2 Recent Strategies and Developments
13.6.2.1 Product Launches and Product Expansions
13.7 CareCloud, Inc.
13.7.1 Company Overview
13.7.2 Financial Analysis
13.7.3 Segmental and Regional Analysis
13.7.4 Research & Development Expenses
13.7.5 Recent Strategies and Developments
13.7.5.1 Partnerships, Collaborations, and Agreements
13.7.5.2 Product Launches and Product Expansions
13.8 Infinx, Inc.
13.8.1 Company Overview
13.8.2 Recent Strategies and Developments
13.8.2.1 Product Launches and Product Expansions
13.8.2.2 Acquisition and Mergers
13.9 UnitedHealth Group, Inc. (Optum, Inc.)
13.9.1 Company Overview
13.9.2 Financial Analysis
13.9.3 Segmental Analysis
13.10. Experian Information Solutions, Inc. (Experian plc)
13.10.1 Company Overview
13.10.2 Financial Analysis
13.10.3 Regional Analysis
13.10.4 Recent Strategies and Developments
13.10.4.1 Product Launches and Product Expansions
13.10.5 SWOT Analysis

Companies Mentioned

  • R1 RCM, Inc. (TowerBrook Capital Partners L.P.)
  • Athenahealth, Inc. (Bain Capital, LP.)
  • McKesson Corporation
  • Oracle Corporation
  • Veradigm, Inc.
  • eClinicalWorks LLC
  • CareCloud, Inc.
  • Infinx, Inc.
  • UnitedHealth Group, Inc. (Optum, Inc.)
  • Experian Information Solutions, Inc. (Experian plc)