PUBLISHER: Grand View Research | PRODUCT CODE: 1571552
PUBLISHER: Grand View Research | PRODUCT CODE: 1571552
The global medical billing software market size is anticipated to reach USD 32.18 billion by 2030 and is anticipated to grow at a CAGR of 10.2% during the forecast period, according to a new report by Grand View Research, Inc. Rising prevalence of chronic diseases, growing geriatric population, and the need for regulatory compliant sophisticated healthcare management solutions powered with advanced technologies are factors driving market growth. Moreover, the growing demand for telemedicine services is expected to fuel market growth further.
The shift from fee-for-service to value-based care models is a significant factor driving the growth of the market. As healthcare organizations increasingly prioritize patient outcomes over the quantity of services provided, there is a growing need for advanced billing solutions to handle complex reimbursement arrangements. This shift encourages software developers to continuously innovate, enhancing functionalities to meet value-based care requirements. For instance, in February 2024, companies like Anatomy Financial, a medical billing service provider, announced the launch of artificial intelligence (AI) powered solutions for medical, dental, digital health, and healthcare billing companies.
In addition, medical billing software plays a crucial role in the healthcare industry, specifically in revenue cycle management (RCM). RCM encompasses the process of managing claims, payments, and revenue generation for healthcare providers. The software automates various tasks such as patient registration, insurance verification, coding, billing, and payment processing. By streamlining these processes, medical billing software helps reduce errors and improve efficiency. For instance, in August 2022, Revesolv, a dental and medical RCM company, launched a medical accounting and reporting software for the U.S. market. Moreover, the adoption of AI and machine learning (ML) is anticipated to enhance predictive analytics capabilities within RCM processes.