Market Size & Trends
The size of the global AI in revenue cycle management market was valued at USD 20.63 billion in 2024 and is expected to grow at a CAGR of 24.16% from 2025 to 2030. Growth is driven by increased healthcare claim denials & payer rule complexity, transition from transactional to value-based revenue cycle management (RCM), and increased emphasis on interoperability & ecosystem integration.
Key Highlights
- North America AI in revenue cycle management market led the global market and held the highest revenue share of more than 55% in 2024.
The North America revenue cycle management market was dominated by the U.S. AI in revenue cycle management market in 2024.
By product segment, the services segment was the market leader and held the highest revenue share of more than 67% in 2024.
Based on type segment, the integrated segment accounted for the highest revenue share of more than 70.8% in 2024.
With regards to application segment, the claims management segment led the market with the highest revenue share in 2024.
One of the strongest inducers of artificial intelligence in the revenue cycle management industry is the rising level and intensity of healthcare claim denials. Claim denials are growing in number and are becoming tougher to appeal as a result of disparate payer policies and constant regulatory changes.
AI-powered solutions provide predictive denial management, real-time eligibility verification, and automated appeals processing, dramatically enhancing denial resolution rates. Healthcare professionals are therefore investing in artificial intelligence to minimize denials, forecast them, and intervene earlier along the billing cycle. For example, in December 2024, Care.fi released RevNow, an AI-driven RCM platform for India-based hospitals to handle insurance claims. The platform employs sophisticated analytics and automation to automate the insurance claims process, from patient admission right through final discharge, pre-authorization through to post-authorization, and claim adjudication to settlement.
Additionally, medical facilities are outsourcing RCM software solutions due to the various benefits involved such as effortless availability of trained and competent professionals, improved efficiency, compliance, governance in accordance with required regulations, and cost savings. As part of a survey conducted by Salucro Healthcare Solutions in January 2024, with 176 healthcare workers, 50% of the respondents were generally pleased with their organization's revenue cycle management, with 34% finding it quite efficient and 16% very efficient. But experiential revenue cycle managers are more likely to see the system as less efficient than executive managers.
In addition, severe workforce deficits in medical billing and coding units fuel market growth. AI compensates for staffing shortages by streamlining repetitive, manual RCM activities like charge entry, coding verification, claims status inquiries, and payment posting. For example, in July 2024, Thoughtful AI released human-capable AI agents' CAM, EVA, and PHIL to minimize human interaction in healthcare providers' RCM teams.
"Back office staff and reimbursement are fundamental reasons that the U.S. healthcare system is so inefficient and costly," said Zekoff. "Collections in most industries cost less than a penny on the dollar, but collections in healthcare can cost 10 times that amount. Consider a healthcare provider earning $100 million annually and having to spend $10 million to make that payment. Those dollars need to go to patient experience, not cumbersome collections.
AI platforms that are easily integratable with legacy RCM platforms, electronic health record (EHR), and payer platforms are becoming more popular. Interoperability is vital for facilitating real-time claims processing and payment integrity workflows. Vendors are increasingly offering APIs and cloud-based platforms that enhance data flow between financial and clinical systems. AI serves a vital role in integrating different processes of the revenue cycle, from prior authorizations to denial appeals, leading to an integrated and real-time financial landscape.
Technology & AI Integration
Emerging technology and AI are revolutionizing revenue cycle management (RCM) to be more efficient, accurate, and adaptive. In America, robotic process automation (RPA) assists in automating processes such as data entry. More sophisticated AI systems process large volumes of data, finding trends in patient behavior, payment patterns, and claim statuses.
35% of the healthcare organizations that used AI in their RCM reported cost savings of 10% or higher, states a survey conducted by the Healthcare Financial Management Association. Additionally, KLAS Research in 2019 reported that applying AI-based analytics to analyze patterns in denied claims could cut claim denials by as much as 50%.
Future Trends in AI for Revenue Cycle Management
Application of Natural Language Processing (NLP)
Advanced Analytics for Denial Management
Tailored Revenue Cycle Management
Prior Authorization Automation
Predictive Analytics for Financial Performance
The convergence of these AI solutions will make RCM more efficient and effective, unlocking significant financial performance improvements for healthcare organizations.
Market Concentration & Characteristics
The following chart demonstrates the correlation between market concentration, market characteristics, and market participants. Market concentration from low to high is plotted on the x-axis. Several market characteristics like industry competition, degree of innovation, M&A activity levels, regulation impact, and geographical expansion are plotted on the y-axis. For example, in the revenue cycle management market, the AI is extremely fragmented, with numerous small firms entering the market and introducing new innovative offerings. The level of innovation, the influence of regulation on the revenue cycle management market, and the geographical expansion of the market are high. The level of M&A activity in the market seems to be moderate.
AI in revenue cycle management market is defined by ongoing innovation, with a heavy emphasis on rolling out new platforms and solutions to capitalize on administrative work and care delivery. Key vendors are introducing sophisticated solutions and services to maintain a competitive edge. For example, in November 2024, Maverick Medical AI, NewVue.ai, and RADPAIR, AI health solution providers, partnered to improve radiology workflows, reporting, and RCM.
The sector is currently seeing a moderate intensity of merger and acquisition transactions by some major players. This is attributable to the need to develop a competitive edge in the sector, improve technological capabilities, and consolidate in the fast-growing market. For example, in March 2025, VisiQuate bought the AI-driven RCM platform Rotera. This deal enabled VisiQuate enhance its product suite and bring next-generation agentic AI to healthcare organizations, which streamlined financial operations and lessened manual intervention.
"By integrating Rotera's extensive automation know-how and next-generation agentic AI technology, we are propelling the advancement of revenue cycle automation. This deal underlines our dedication to bringing the most innovative automation solutions to the market, enabling healthcare organizations to devote their resources to what counts most-patient care."
Regulations like HIPAA (Health Insurance Portability and Accountability Act) in the USA and GDPR (General Data Protection Regulation) in Europe provide norms for protecting patient data confidentiality and security. These regulations must be followed by AI solutions for healthcare to make sure patient information is handled in a secure and safe manner, minimizing the chances of data breaches and unauthorized handling.
The sector is recording strong regional growth, led by a growing customer base for AI-driven RCM platforms. For example, in May 2024, Firstsource acquired Quintessence, a healthcare technology firm that focuses on revenue cycle management and patient engagement solutions. The acquisition allows Firstsource to offer U.S. healthcare providers a broader set of solutions. Solutions leverage artificial intelligence (AI) to improve revenue capture, raise efficiency, and enhance productivity.
Product Insights
The services segment was the market leader with a highest revenue share of more than 67% in 2024 due to the increasing trend of outsourcing these services to healthcare organizations. Outsourcing of services has picked up with many healthcare services requiring mandatory resources and skill sets for the deployment of RCM solutions. Either the whole process is outsourced, or some part of it, in the shape of a long-term contract. For example, in August 2024, Arsenal Capital Partners purchased Knowtion Health, an AI-driven revenue cycle insurance claim resolution service provider.
The software segment is expected to expand steadily during the forecast period. The growing volume of data being generated by multiple healthcare functions is fueling the demand for process digitalization and workflow streamlining to improve efficiencies and enable better patient care, thus driving the demand for RCM software and solutions. For example, in October 2024, eClinicalWorks introduced AI-driven revenue cycle management solutions to automate the end-to-end billing process for healthcare practices.
Type Insights
The integrated segment led the market with the highest revenue share of more than 70.8% in 2024 due to the increasing demand for volume-based payments as compared to value-based payments. Integrated solutions provide an efficient and coordinated form of several financial activities through a single platform, leading to a uniform data collection and analysis process. Integrated revenue cycle management offers various advantages ranging from increasing collections to alternative payment and reimbursement methodology planning.
Effective integration programs enable healthcare professionals to enhance productivity, reduce expenses, enhance collections, and enhance net operating margins. The integrated form of services is expected to register the maximum growth based on the increasing need for improving the efficiency of healthcare systems, rising healthcare facilities, and rising healthcare expenses. Further, the increasing necessity to reduce or abolish human mistakes and speed up administrative processes is expected to drive the expansion of an integrated form of service.
Application Insights
The segment of claims management was the market leader with the highest revenue share in 2024, due to the growing number and complexity of claims, regular errors, and claim denial. In addition, AI's capability to anticipate claim denials prior to submission and minimize time and FTEs for claim validation adds to the growth of the market further.
Additionally, manual medical coding entails the translation of detailed clinical documentation into uniform billing codes. Inaccuracy in the process results in claim denial, underpayment, and compliance exposure. AI-based coding solutions automate code assignment, documentation validation, and enhance coding accuracy. Furthermore, AI streamlines coding turnaround times, which drastically decreases operating expenditures and enhances cash flow. All such factors are expected to contribute further to market growth.
Delivery Mode Insights
The complete web-based segment led the market with the best revenue share of more than 52% in 2024, driven by the increasing adoption of web-based solutions. Web-based solutions are becoming widely popular as they are affordable to implement and easy to install. In contrast to on-premises solutions, web-based solutions do not require extra hardware or storage to install and can be installed remotely and outsourced to a third party. This has contributed to growth in the adoption of cloud-based solutions compared to on-premises solutions.
The cloud-deployed market is anticipated to have the highest growth during the forecast period. This is due to its greater flexibility and affordability for end-users. Cloud-deployed solutions assist healthcare organizations in managing electronic medical records, patient portals, big data analytics, and mobile apps with no extra cost for server maintenance. Cloud-based solutions have come on board to advance resource acquisition, infrastructure reliability, and operations. For example, in December 2024, athenahealth introduced new AI-powered software advancements and automation for physician practices to simplify and reduce the weight of RCM. This launch is expected to help 160,000 physicians with access to the software through a cloud-based platform.
End Use Insights
The physician back-office segment had the largest share of revenue of more than 37% in 2024. Growing emphasis on expanding the number of physicians and medical facilities across the globe is likely to propel the AI in the RCM market. Private physician offices face multiple economic issues, including physician reimbursement, rising operating costs, and patient satisfaction. Private physician practices are outsourcing RCM services and solutions to meet medical and financial requirements. In November 2024, for example, Zentist enhanced its features by introducing a payment posting automation solution, a new component of its next-generation cloud-based dental RCM software, Remit AI.
Additionally, the hospitals segment is expected to have the highest growth rate during the forecast period due to the increasing number of regulations and guidelines being put forth by regulatory agencies in relation to patient safety. The increasing demand for optimizing hospitals' workflows and increasing productivity and efficiency is propelling the use of RCM solutions among hospitals. For example, in March 2025, Titan Health introduced AI in Revenue Cycle Management as a Service (RCMaaS) for healthcare providers, offering them personalized revenue cycle management solutions. With the integration of advanced technology and expert care, it seeks to maximize revenue recovery, minimize claim denials, and enhance overall financial performance.
Regional Insights
North America AI in revenue cycle management market dominated the global market and accounted for the largest revenue share of over 55% in 2024. This is due to the growing presence of physicians’ offices in the U.S. Regulatory reforms, such as amendments in ICD-10, have led to a digital transformation in healthcare systems, and there has been a significant surge in demand for healthcare IT solutions such as RCM systems to enhance efficiency and improve care delivery. Moreover, growing integration of advanced technology such as artificial intelligence and machine learning by hospitals, care centers, physician offices, etc. across the region propel market growth further.
Europe AI In Revenue Cycle Management Market Trends
The market for revenue cycle management in Europe is anticipated to grow sizably during the forecast period, helped by the favorable government policies. For example, the Digital Single Market Strategy launched by the European Commission enables consumer & business access to online goods and services throughout Europe, putting into place the correct conditions for digital networks and services to develop and optimize the growth potential of the European economy.
Germany AI in revenue cycle management market is the biggest healthcare market in Europe. A large number of hospitals in Germany is the key driving force behind the growth in RCM market in Germany. Further, the system of delivery of healthcare in Germany is efficient and streamlined. As per the Commonwealth Fund Report 2023, approximately 89% of Germans are insured under Social Health Insurance (SHI) and 11% under substitutive private health insurance. The increase in the demand for digitalization and the rise in government and private sector support are expected to fuel market growth.
The UK AI revenue cycle management market witnesses favorable growth during the forecast period. The reasons for such growth include the robust healthcare infrastructure of the country, increasing embracement of sophisticated digital technologies, and strong presence of industry leaders.
Asia Pacific AI In Revenue Cycle Management Market Trends
Asia Pacific revenue cycle management market for AI is expected to grow at the highest CAGR in the forecast period due to the positive government policies, rising demand to enhance quality of care delivery, rising digitalization, and rising adoption of healthcare IT solutions. Japan, China, India, and Australia are increasingly adopting AI and machine learning applications in healthcare to improve care delivery.
China AI in revenue cycle management market is likely to witness high growth due to an increase in patient volume and subsequently growing health insurance claims. Furthermore, strong healthcare infrastructure and technology advancement are some of the key drivers for market growth.
India AI in revenue cycle management market sees prosperous growth during the forecast period. Escalating healthcare spending, increasing use of artificial intelligence & machine learning in healthcare, and growing digitization by healthcare organizations throughout the country drive market growth. Moreover, increasing rates of chronic diseases and growing patient population are other reasons driving market growth further. In addition to this, the industry players are making strategic moves including new product launches, partnership & collaboration efforts, and geographical expansion to increase their presence in the market. For example, Infinx, an AI-based RCM solutions provider, increased its geographical footprint with the launch of its new research and development center in Bengaluru, India in December 2024.
"With great excitement, we announce our R&D center in Bengaluru. This strategic initiative is to leverage the high-quality talent from the nation's technology market. We see India's growing tech environment as a boost to enable us to access the most current solutions, improve interconnectivity, and make major advancements in healthcare revenue cycle management. The facility will be an important key facility for our international operations, pushing healthcare providers globally to higher efficiency and success."
Middle East and Africa AI In Revenue Cycle Management Market Trends
Middle East and Africa AI in revenue cycle management market will witness substantial growth in the years to come. The growth is due to the well-established healthcare infrastructure and government support. Furthermore, rising adoption of AI in the healthcare sector fuels market growth. Firms are extending their geographical reach by entering into partnerships and collaborations with major market participants as well as healthcare providers. For example, in January 2025, Ntigra entered into a partnership with Reem Hospital, a UAE-based healthcare provider, to improve revenue cycle management by integrating Ntigra's AI-driven offerings.
Saudi Arabia AI in revenue cycle management market is witnessing significant growth. The mandatory health insurance coverage of the public sector, as under Vision 2030 and the National Transformation Program, is pushing the demand for new capabilities in generating revenue under the new reimbursement system. Apart from this, major emphasis on the utilization of advanced technologies like AI and ML throughout the healthcare sector under the Vision 2030 is likely to drive market growth even further. Such a change in the healthcare industry is likely to have a wide-ranging effect on the reimbursement structure of health care, and hence, the creation of new capabilities for generating revenues.
Latin America AI In Revenue Cycle Management Market Trends
Latin America AI in revenue cycle management market will grow sizably during the forecast period. Brazil, Mexico, and Colombia are spending in digital health infrastructure, encouraging the uptake of AI-enabled RCM solutions to improve business process efficiency and alleviate administrative processes. Further, government supporting policies and growing uptake of integrated healthcare systems add to the growth of the market.
Key AI In Revenue Cycle Management Company Insights
The key participants in the market are divided into various strategic initiatives to expand their business footprint and gain a competitive edge in revenue cycle management market. Some emerging companies include XiFin Inc., RapidClaims, Ntigra, Firstsource, etc.
Key AI In Revenue Cycle Management Companies
The following are the leading companies in the AI in revenue cycle management market. These companies collectively hold the largest market share and dictate industry trends.
- athenahealth, Inc.
- Experian Information Solutions, Inc.
- R1 RCM, Inc.
- McKesson Corporation
- CareCloud Corporation
- Oracle (Cerner Corporation)
- eClinicalWorks
- Infinx
- Care.fi
- VisiQuate
- IntelligentDX
- Thoughtful AI
- Adonis
- Zentist
- Maverick Medical AI Ltd.
Recent Developments
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In May 2025, Infinx has purchased i3 Verticals' healthcare revenue cycle management business. This purchase is set to enhance Infinx's market reach and technology capability to integrate scalable technology and skilled services across the revenue cycle, thus improving financial performance for healthcare organizations.
In April 2025, XiFin Inc. introduced AI-powered RCM platform at the 30th Annual Executive War College (EWC).
AI In Revenue Cycle Management Market Report Scope
|
Report Attribute |
Details |
|
Market size value in 2025 |
USD 23.76 billion |
|
Revenue forecast in 2030 |
USD 70.12 billion |
|
Growth rate |
CAGR of 24.16% from 2025 to 2030 |
|
Base year for estimation |
2024 |
|
Historical data |
2018 - 2023 |
|
Forecast period |
2025 - 2030 |
|
Quantitative units |
Revenue in USD million/billion & CAGR from 2025 to 2030 |
|
Report coverage |
Revenue forecast, company share, competitive landscape, growth factors, and trends |
|
Segments covered |
Product, type, application, delivery mode, end use, region |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East and Africa |
|
Country Scope |
U.S.; Canada; Mexico; UK; Germany; France; Italy; Spain; Sweden; Denmark; Norway; Japan; China; India; Australia; Thailand; South Korea; Brazil; Argentina; South Africa; Saudi Arabia; UAE; Kuwait |
|
Key companies profiled |
athenahealth, Inc.; Experian Information Solutions, Inc.; R1 RCM, Inc.; McKesson Corporation; CareCloud Corporation; Oracle (Cerner Corporation); eClinicalWorks; Infinx; Care.fi; VisiQuate; IntelligentDX; Thoughtful AI; Adonis; Zentist; Maverick Medical AI Ltd. |
|
Customization scope |
Free report customization (equivalent up to 8 analysts’ working days) with purchase. Addition or alteration to country, regional & segment scope. |
|
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
Global AI In Revenue Cycle Management Market Report Segmentation
This report forecasts revenue growth at the global, regional & country level and provides an analysis of the latest trends and opportunities in each of the sub-segments from 2018 to 2030. For this report, MIR has segmented the global AI in revenue cycle management market report based on product, type, application, delivery mode, end use, and region
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Product Outlook (Revenue, USD Million, 2018 - 2030)
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Software
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Services
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Type Outlook (Revenue, USD Million, 2018 - 2030)
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Integrated
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Standalone
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Application Outlook (Revenue, USD Million, 2018 - 2030)
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Medical Coding and Charge Capture
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Claims Management
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Payment Posting & Remittance
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Financial Analytics & KPI Monitoring
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Others
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Delivery Mode Outlook (Revenue, USD Million, 2018 - 2030)
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Web-based
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Cloud-based
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On-premise
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End Use Outlook (Revenue, USD Million, 2018 - 2030)
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Physician Back Offices
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Hospitals
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Diagnostic Laboratories
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Other
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Regional Outlook (Revenue, USD Million, 2018 - 2030)
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North America
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U.S.
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Canada
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Mexico
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Europe
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Germany
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UK
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France
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Italy
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Spain
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Denmark
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Sweden
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Norway
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Asia Pacific
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Japan
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China
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India
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Australia
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South Korea
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Thailand
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Latin America
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Brazil
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Argentina
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Middle East and Africa (MEA)
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South Africa
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Saudi Arabia
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UAE
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Kuwait
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