Artificial Intelligence (AI) In Medical Billing Market - Forecasts from 2024 to 2029

Artificial Intelligence (AI) In Medical Billing Market - Forecasts from 2024 to 2029


Artificial Intelligence (AI) in the medical billing market is expected to grow at a CAGR of 27.56%, reaching a market size of US$12.581 billion in 2029 from US$3.726 billion in 2024.

Medical billing is one of the key components of the revenue cycle of health care because of its complex systems and coding styles and the submission of various bills. Given that tedious manual chores are being abolished, precision enhanced, and costs reduced, the sector is expected to embrace such technologies. Medical billing has undergone changes, including analyzing medical data by AI and, where appropriate, searching for the right medical coding before making the billings and following up on the claims once submitted to ensure effectiveness. The market for AI in medical billing is propelled by the increasing demand for simplicity in operations, cost containment, and better revenue management. Considering the changes in the entire healthcare sector, healthcare providers are searching for newer solutions to enhance their efficiency and profitability. It can be expected that artificial intelligence will completely transform the medical billing landscape.

Artificial intelligence (AI) in the medical billing market drivers?
Increasing adoption of Electronic Health Records (EHRs) boosts AI in the medical billing market.


The increasing adoption of electronic health records (EHR) accelerates the prevalence of artificial intelligence in the medical billing sector. EHR stores patients' health records in a computer to enable easy management, storage, access, and even sharing of health records among health providers. As EHRs have comprehensive and up-to-date patient information, algorithms can also use patient data to retrieve the correct billing codes and submit processed claims. Joining AI with EHR systems eases the processes of filing claims as it reduces errors and cuts down on management burdens. Since most healthcare providers worldwide are increasingly embracing an electronic form of maintaining patient records, the scope of AI-enhanced medical billing systems increases, propelling market growth.

Artificial intelligence (AI) in the medical billing market - geographical outlook
North America is witnessing exponential growth during the forecast period


North America makes large R&D investments, especially in the fields of AI and healthcare. This investment supports the growth of AI applications and innovation in several medical domains, including medical billing. Significant funding is available in the area for new businesses and technology startups. The expansion of AI startups that focus on healthcare, including medical billing solutions, is aided by this financial support. On AI projects, startups, technology companies, and healthcare facilities in North America frequently work together. These partnerships encourage the creation of innovative approaches to medical billing.

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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) in medical billing market is segmented and analyzed as follows:

By Deployment Mode

Cloud-Based
On-Premise

By Application

Automated Billing and Documentation
Revenue Cycle Management
Claims Processing
Denial Management
Fraud Detection
Others

By End-User

Hospitals And Clinics
Healthcare Payers
Ambulatory Surgical Centers
Others

By Geography

North America
United States
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Italy
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
Japan
China
India
South Korea
Indonesia
Taiwan
Others


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)

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