AI In Revenue Cycle Management Market Size, Share & Trends Analysis Report By Product (Software, Services), By Type (Integrated, Standalone), By Application, By Delivery Mode (Web Based, Cloud Based), By End Use, By Region, And Segment Forecasts, 2025 - 2030

Market Size & Trends

The global AI in revenue cycle management market size was estimated at USD 20.63 billion in 2024 and is projected to grow at a CAGR of 24.16% from 2025 to 2030. Rising healthcare claim denials & complexity in payer rules, shift from transactional to value-based revenue cycle management (RCM), and growing focus on interoperability & ecosystem integration are factors contributing to market growth.

One of the most significant drivers of artificial intelligence in the revenue cycle management market is the increasing volume and complexity of healthcare claim denials. Claim denials are rising in volume and are increasingly difficult to appeal due to varying payer policies and frequent regulatory shifts.

AI-enabled solutions offer predictive denial management, real-time eligibility checks, and automated appeals processing, significantly improving denial resolution rates. Healthcare providers are thus investing in AI to reduce denials, predict them, and intervene earlier in the billing cycle. For instance, in December 2024, Care.fi launched RevNow, an AI-powered RCM platform for hospitals in India to manage insurance claims. This platform uses advanced analytics and automation to streamline the insurance claims process, including patient admission through to final discharge, pre-authorization to post-authorization, and claim adjudication to settlement.

“By harnessing AI and automation, we’re enabling hospitals to overcome the traditional challenges of claims processing-delays, rejections, and inefficiencies-and transform them into streamlined, transparent workflows.”

-Sidak Singh, Co-founder, Care.fi.

Moreover, healthcare facilities are outsourcing RCM software solutions owing to the multiple advantages associated such as easy availability of trained and skilled professionals, enhanced efficiency, compliance, adherence to required regulations, and cost-effectiveness. A survey by Salucro Healthcare Solutions in January 2024, involving 176 healthcare professionals, found that 50% of respondents are generally satisfied with their organization's revenue cycle management, with 34% considering it somewhat efficient and 16% very efficient. However, hands-on revenue cycle leaders are less likely to view the system as efficient compared to executive leaders.

Furthermore, acute workforce shortages in medical billing and coding departments drive market growth further. AI helps offset staffing gaps by automating routine, manual RCM tasks such as charge entry, coding validation, claims status checks, and payment posting. For instance, in July 2024, Thoughtful AI launched human-capable AI agents’ CAM, EVA, and PHIL to reduce human intervention in healthcare providers’ RCM departments.

"Back office staffing and reimbursement are core reasons why the U.S. healthcare system is so expensive and inefficient,” explained Zekoff. “In many industries, collections cost less than a penny on the dollar, but collections can cost 10 times that in healthcare. Imagine a healthcare provider making $100 million a year yet having to spend $10 million to collect that revenue. Those dollars should go to the patient experience, not inefficient collections processes.”

-Alex Zekoff, Thoughtful AI co-founder and CEO

AI solutions that can seamlessly integrate with existing RCM platforms, electronic health record (EHR), and payer systems are gaining traction. Interoperability is essential for enabling real-time claims processing and ensuring payment integrity workflows. Vendors are increasingly providing APIs and cloud-based platforms that improve data flow between clinical and financial systems. AI plays a crucial role in unifying various revenue cycle processes, ranging from prior authorizations to denial appeals, resulting in a more cohesive and real-time financial environment.

Technology & AI Integration

Advanced technology and AI are transforming revenue cycle management (RCM) to be more efficient and accurate. In the US, robotic process automation (RPA) helps automate tasks like data entry. More advanced AI systems analyze large amounts of data, identifying trends in patient behavior, payment patterns, and claim statuses.

According to a survey by the Healthcare Financial Management Association, 35% of healthcare organizations that implemented AI in their RCM reported cost savings of 10% or more. Furthermore, KLAS Research in 2019 indicated that using AI-powered analytics to identify patterns in denied claims can reduce claim denials by up to 50%.

Future Trends in AI for Revenue Cycle Management

• Use of Natural Language Processing (NLP)

• Advanced Analytics for Denial Management

• Personalized Revenue Cycle Management

• Automation of Prior Authorization

• Predictive Analytics for Financial Performance

The integration of these AI technologies promises to enhance the efficiency and effectiveness of RCM, driving significant improvements in financial outcomes for healthcare organizations.

Investors are focusing on acquiring end-to-end RCM solutions that streamline workflows, reduce costs, and improve overall financial performance by covering the entire patient financial journey.

Major Deals & Strategic Alliances

GVR Analysis

Market Concentration & Characteristics

The chart below illustrates the relationship between market concentration, market characteristics, and market participants. The x-axis represents the level of market concentration, ranging from low to high. The y-axis represents various market characteristics, including industry competition, degree of innovation, level of M&A activities, impact of regulations, and regional expansion. For instance, the AI in the revenue cycle management market is highly fragmented, with many small players entering the market and launching new innovative products. The degree of innovation, the impact of regulations on the revenue cycle management industry, and the regional expansion of the market are high. The level of M&A activities in the market appears to be moderate.

AI in revenue cycle management market is characterized by constant innovation, with a strong focus on launching new platforms and solutions to leverage administrative tasks and enhance care delivery. Prominent players are launching advanced solutions and services to sustain a competitive advantage. For instance, in November 2024, Maverick Medical AI, NewVue.ai, and RADPAIR, providers of AI-driven healthcare solutions, collaborated to enhance radiology workflows, reporting, and RCM.

“The collaboration with NewVue and RADPAIR allows us to expand the boundaries of real-time, AI-driven coding and RCM optimization in radiology.”

-Yossi Shahak, CEO of Maverick Medical AI.

The industry is experiencing a moderate level of merger and acquisition activities undertaken by several key players. This is due to the desire to gain a competitive advantage in the industry, enhance technological capabilities, and consolidate in a rapidly growing market. For instance, in March 2025, VisiQuate acquired the AI-powered RCM platform Rotera. This acquisition helped VisiQuate expand its product portfolio and deliver next-generation agentic AI to healthcare organizations, optimizing financial operations and reducing manual intervention.

“With Rotera’s deep automation expertise and next-generation agentic AI technology, we are accelerating the evolution of revenue cycle automation. This acquisition reinforces our commitment to delivering the most advanced automation solutions, allowing healthcare organizations to focus their resources where they matter most-on patient care.”

Regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the United States and GDPR (General Data Protection Regulation) in Europe establish standards for safeguarding patient data privacy and security. Compliance with these regulations is crucial for AI applications in healthcare to ensure the safe and secure handling of patient information, reducing the risk of data breaches and unauthorized access.

The industry is witnessing significant regional expansion, driven by an increasing customer base for AI-powered RCM platforms. For instance, in May 2024, Firstsource acquired Quintessence, a healthcare technology company specializing in revenue cycle management and patient engagement solutions. The acquisition enables Firstsource to provide U.S. healthcare providers with a more comprehensive range of solutions. These solutions utilize artificial intelligence (AI) to enhance revenue capture, increase efficiency, and improve productivity.

Product Insights

The services segment dominated the market and accounted for the largest revenue share of over 67% in 2024, owing to the growing trend of outsourcing these services to healthcare facilities. There has been an increase in outsourcing of services, as many healthcare services mandatorily require resources and skill sets for the implementation of RCM solutions. Either the entire process is outsourced, or a part of it, in the form of a long-term contract. For instance, in August 2024, Arsenal Capital Partners acquired Knowtion Health, an AI-powered revenue cycle insurance claim resolution service provider.

The software segment is anticipated to grow significantly over the forecast period. The increasing amount of data generated from multiple healthcare functions is driving the need for process digitalization and streamlining workflows to enhance efficiencies and improve patient care, thereby increasing the demand for RCM software and solutions. For instance, in October 2024, eClinicalWorks launched AI-powered revenue cycle management solutions to streamline the end-to-end billing process for healthcare practices.

Type Insights

The integrated segment dominated the market with the largest revenue share of over 70.8% in 2024, owing to the growing preference for volume-based payments over value-based payments. Integrated solutions offer a streamlined and synchronized format for various financial activities via a single platform, resulting in a standardized data collection and analysis process. Integrated revenue cycle management provides a number of benefits, from growing collections to planning alternative payment and reimbursement methodologies.

Successful integration schemes allow healthcare workers to improve productivity, decrease costs, increase collections, and increase net operating margins. The integrated type of services is anticipated to register the fastest growth owing to the growing demand for enhancing healthcare systems’ efficiency, increasing healthcare facilities, and growing healthcare costs. Moreover, the growing need to minimize or eliminate human errors and accelerate administrative functions is anticipated to boost the growth of an integrated type of service.

Application Insights

The claims management segment dominated the market with the largest revenue share in 2024, owing to the increasing volume and complexity of claims, frequent errors, and claims denial. Moreover, AI's ability to predict claim denials before submission and reduce time and FTEs for claim validation contributes to market growth further.

Furthermore, manual medical coding involves interpreting complex clinical documentation and translating it into standardized billing codes. Errors in this process lead to claim denials, underpayments, and compliance risks. AI-powered coding tools automate code assignment, validate documentation, and improve coding accuracy. In addition, AI reduces coding turnaround times, significantly lowering operational costs and improving cash flow. Such factors are anticipated to propel market growth further.

Delivery Mode Insights

The web-based segment dominated the market with the largest revenue share of over 52% in 2024, owing to the growing implementation of web-based solutions. Web-based solutions are becoming increasingly popular due to their affordability and ease of deployment. Unlike on-premises solutions, web-based solutions do not require additional hardware or storage and can be installed off-site and managed by a third party. This has led to a rise in the adoption of web-based solutions over on-premises solutions.

The cloud-deployed segment is expected to experience the fastest growth over the forecast period. This growth is attributed to its higher flexibility and cost-effectiveness for end-users. Cloud-deployed solutions help healthcare institutions manage patient portals, electronic medical records, big data analytics, and mobile applications, avoiding additional costs for maintaining servers. Cloud-based products have been developed to improve resource procurement, enhance infrastructure dependability, and strengthen operations. For instance, in December 2024, athenahealth launched new automation and AI-based software innovations for physician practices to streamline and lower the burden of RCM. This launch is likely to benefit 160,000 physicians with access to the software via a cloud-based platform. 

End Use Insights

The physician back-office segment accounted for the largest revenue share of over 37% in 2024. A rising focus on increasing the number of physicians and medical facilities worldwide is expected to drive the AI in the RCM market. Private physician offices undergo numerous economic challenges, such as physician reimbursement, increasing operating expenses, and patient satisfaction. Private physician offices are outsourcing RCM solutions and services to align with medical and financial needs. For instance, in November 2024, Zentist upgraded its offerings by launching a payment posting automation solution, a new feature of its advanced cloud-based dental RCM software, Remit AI.

Moreover, the hospitals segment is anticipated to register the fastest growth rate over the forecast period, owing to the rising number of protocols and guidelines introduced by regulatory bodies with respect to patient safety. The growing demand for streamlining hospitals’ workflows and enhancing productivity and efficiency is driving the adoption of RCM solutions in hospitals. For instance, in March 2025, Titan Health launched AI in Revenue Cycle Management as a Service (RCMaaS) for healthcare providers, providing them with tailored revenue cycle management solutions. By integrating advanced technology and expert support, it aims to optimize revenue recovery, reduce claim denials, and improve 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.

U.S. AI In Revenue Cycle Management Market Trends

The U.S. AI in revenue cycle management market dominated the North America revenue cycle management market in 2024. This is due to the growing trend of outsourcing healthcare RCM solutions by payers and healthcare providers. Moreover, robust healthcare IT infrastructure and strategic initiatives undertaken by key players contribute to market growth. For instance, in January 2025, IntelligentDX launched AI-powered software to optimize EHR and EMR systems in the U.S.

"Our mission is to simplify healthcare operations while maintaining a human-centered approach. By integrating AI with deep domain expertise, we empower healthcare providers to focus on what matters most--patient care," said Dr. Ajay Shukla, Co-Founder and COO of IntelligentDX.

Europe AI In Revenue Cycle Management Market Trends

The Europe revenue cycle management market is expected to witness significant growth over the forecast period due to the supportive government policies. For instance, the Digital Single Market Strategy initiated by the European Commission facilitates consumer & business access to online services and goods all over Europe, creating the right conditions for digital networks and services to flourish and maximizing the growth potential of the European economy.

Germany AI in revenue cycle management market is one of the largest healthcare markets in Europe. A high number of hospitals in Germany is a prime driving factor for the growth of RCM market in the country. In addition, the healthcare delivery system in Germany is streamlined and efficient. According to the Commonwealth Fund Report 2023, around 89% of the German population is covered by Social Health Insurance (SHI) and 11% by substitutive private health insurance. The growing demand for digitalization and increasing support by government and private initiatives are likely to drive market growth.

The UK AI in revenue cycle management market experiences lucrative growth over the forecast period. This growth is attributed to the country’s strong healthcare infrastructure, growing adoption of advanced digital solutions, and robust presence of key market players.

Asia Pacific AI In Revenue Cycle Management Market Trends

Asia Pacific AI in revenue cycle management market is anticipated to grow at the fastest CAGR during the forecast period, owing to favorable government initiatives, growing demand to improve care delivery quality, increasing digitalization, and growing adoption of healthcare IT solutions. Countries such as Japan, China, India, Australia are increasing adopting AI and machine learning in healthcare to enhance care delivery.

China AI in revenue cycle management market is expected to witness significant growth owing to rising patient volume and the consequent increase in health insurance claims. Moreover, robust healthcare infrastructure and technological advancements are some other factors contributing to market growth.

India AI in revenue cycle management market experiences lucrative growth over the forecast period. Growing healthcare expenditure, rising adoption of artificial intelligence & machine learning in healthcare, and increasing digitization by healthcare facilities across the country contribute to market growth. In addition, the rising prevalence of chronic diseases and the increasing patient population are other factors fueling market growth further. Moreover, industry players are undertaking strategic initiatives such as new product launches, partnership & collaboration activities, and geographical expansion to enhance their footprint in the market. For instance, in December 2024, Infinx, a provider of AI-driven RCM solutions, expanded its geographical presence with the opening of its new research and development center in Bengaluru, India.

“We are thrilled to unveil our R&D center in Bengaluru. This strategic move aims to harness the exceptional talent from the country’s technology sector. We believe that India’s evolving tech ecosystem will help us leverage the latest solutions, foster better collaboration, and drive significant advancements in healthcare revenue cycle management. The center will serve as a critical hub for our global operations, driving healthcare providers worldwide towards greater efficiency and success.”

-Sudeep Tandon, Managing Director Infinx

Middle East and Africa AI In Revenue Cycle Management Market Trends

The Middle East and Africa AI in revenue cycle management market is expected to observe significant growth in the coming years. This growth is attributed to the well-developed healthcare infrastructure and supportive government initiatives. Moreover, the increasing adoption of AI in healthcare drives market growth further. Companies are expanding their geographical presence through partnerships and collaborations with key market players and healthcare providers. For instance, in January 2025, Reem Hospital, a healthcare provider in the UAE, partnered with Ntigra to enhance revenue cycle management through the integration of Ntigra’s AI-powered solutions.

Saudi Arabia AI in revenue cycle management market is undergoing substantial growth. The introduction of mandatory health insurance in the public sector, as part of Vision 2030 and the National Transformation Program, is driving the need for new capabilities in revenue generation under the new reimbursement system. In addition, significant focus on using advanced technologies such as AI and ML across the healthcare sector under the Vision 2030 is expected to propel market growth further. This transformation of the healthcare sector is expected to significantly impact the reimbursement system of health services, leading to the development of new capabilities for revenue generation.

Latin America AI In Revenue Cycle Management Market Trends

Latin America AI in revenue cycle management market is expected to grow significantly over the forecast years. Countries such as Brazil, Mexico, and Colombia are investing in digital health infrastructure, promoting the adoption of AI-driven RCM tools to enhance operational efficiency and reduce administrative burdens. Moreover, supportive government initiatives and increasing adoption of integrated healthcare systems contribute to market growth further.

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.

Recent Developments

• In May 2025, Infinx acquired i3 Verticals' healthcare revenue cycle management business. This acquisition aims to expand Infinx's market presence and technology capabilities, allowing for the integration of scalable technology and expert services throughout the revenue cycle, thereby enhancing financial performance for healthcare organizations.

• In April 2025, XiFin Inc. launched AI-enabled RCM platform at the 30th Annual Executive War College (EWC).

“AI is a powerful tool delivering measurable ROI in diagnostic revenue cycle management. We are proud to share insights and outcomes at EWC with Northwell Health Laboratories, a valued XiFin customer for over 20 years and part of one of the highest-rated health systems in the country. We look forward to demonstrating how its experience using XiFin’s AI-powered Exception Processing (EP) technology yielded significant advancements in claim management by prioritizing claims, optimizing assignments, and automating critical workflows.”

-Jeff Carmichael, SVP of Engineering at XiFin.

• In April 2025, RapidClaims secured USD 11 million to enhance its AI-driven revenue cycle management (RCM) platform and expand its market reach.

• In March 2025, R1, a provider of revenue cycle management software and solutions, partnered with Palantir to launch R37, an advanced AI lab that leverages healthcare financial performance.

“R1 is thrilled to partner with Palantir to bring the transformational power of agentic AI to the revenue cycle through R37. With our leading experts in reimbursement and history of automation, this lab will further accelerate investments on behalf of providers and create a new revenue cycle that delivers a faster, frictionless, and more transparent financial experience for both providers and patients.”

-Joe Flanagan, CEO of R1

• In June 2024, Adonis raised USD 31 million in funding to expand its AI-powered revenue cycle automation solutions. Adonis’ platform seamlessly integrates over 35 electronic health record (EHR) systems and clearinghouses, providing a flexible and adaptable solution for diverse healthcare organizations.

• In April 2024, Zentist launched Cavi AR, an AI-powered RCM software for dental insurance AR & claims management.

• In February 2024, ImagineSoftware partnered with Maverick Medical AI to introduce an AI-powered Autonomous Medical Coding Platform. This collaboration aims to enhance operational scalability for healthcare organizations by automating medical coding processes to improve RCM.

AI In Revenue Cycle Management Market Report Scope

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, Grand View Research has segmented the global AI in revenue cycle management market report based on product, type, application, delivery mode, end use, and region:

• Product Outlook (Revenue, USD Million, 2018 - 2030)

  • Software

  • Services

• Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Integrated

  • Standalone

• Application Outlook (Revenue, USD Million, 2018 - 2030)

  • Medical Coding and Charge Capture

  • Claims Management

  • Payment Posting & Remittance

  • Financial Analytics & KPI Monitoring

  • Others

• Delivery Mode Outlook (Revenue, USD Million, 2018 - 2030)

  • Web-based

  • Cloud-based

  • On-premise

• End Use Outlook (Revenue, USD Million, 2018 - 2030)

  • Physician Back Offices

  • Hospitals

  • Diagnostic Laboratories

  • Other

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • Japan

    • China

    • India

    • Australia

    • South Korea

    • Thailand

  • Latin America

    • Brazil

    • Argentina

  • Middle East and Africa (MEA)

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait