Home β€Ί ICT β€Ί Artificial Intelligence β€Ί Artificial Intelligence (AI) In Medical Billing Market

Artificial Intelligence (AI) In Medical Billing Market Size, Share, Opportunities, And Trends By Deployment Mode (Cloud-Based, On-Premise), By Application (Automated Coding And Documentation, Revenue Cycle Management, Claims Processing, Denial Management, Fraud Detection, Others), By End-User (Hospitals And Clinics, Healthcare Payers, Ambulatory Surgical Centers, Others), And By Geography - Forecasts From 2025 To 2030

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Table of Contents

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL BILLING MARKET BY DEPLOYMENT MODE

5.1. Introduction

5.2. Cloud-Based

5.3. On-Premise 

6. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL BILLING MARKET BY APPLICATION

6.1. Introduction

6.2. Automated Billing and Documentation

6.3. Revenue Cycle Management

6.4. Claims Processing

6.5. Denial Management

6.6. Fraud Detection

6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL BILLING MARKET BY END-USER INDUSTRY

7.1. Introduction

7.2. Hospitals And Clinics

7.3. Healthcare Payers

7.4. Ambulatory Surgical Centers

7.5. Others          

8. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL BILLING MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Deployment Mode

8.2.2. By Application

8.2.3. BY End-User Industry

8.2.4. By Country

8.2.4.1. United States

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Deployment Mode

8.3.2. By Application

8.3.3. BY End-User Industry

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Deployment Mode

8.4.2. By Application

8.4.3. BY End-User Industry

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Italy

8.4.4.5. Spain

8.4.4.6. Others

8.5. Middle East and Africa

8.5.1. By Deployment Mode

8.5.2. By Application

8.5.3. BY End-User Industry

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Deployment Mode

8.6.2. By Application

8.6.3. BY End-User Industry

8.6.4. By Country

8.6.4.1. Japan

8.6.4.2. China

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Indonesia

8.6.4.6. Taiwan

8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Waystar (Formerly Known As Zirmed)

10.2. Nextgen Healthcare, Inc.

10.3. Cerner Corporation

10.4. Mckesson Corporation

10.5. Epic Systems Corporation

10.6. Athenahealth, Inc.

10.7. Allscripts Healthcare Solutions, Inc.

10.8. Eclinicalworks Llc

10.9. Ge Healthcare (A Division Of General Electric Company)

10.10. Optum, Inc. (A Subsidiary Of UnitedHealth Group)  

REPORT DETAILS

Report ID:KSI061615865
Published:Nov 2025
Pages:144
Format:PDF, Excel, PPT, Dashboard
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