AI in Medical Coding Market Analysis

  • Report ID: 6493
  • Published Date: Sep 18, 2025
  • Report Format: PDF, PPT

AI in Medical Coding Market Segmentation:

Mode Segment Analysis

Outsourced segment is anticipated to hold AI in medical coding market share of over 63.8% by the end of 2035. Medical coders with certification and experience working for outsourcing companies are knowledgeable about the most recent rules and guidelines. Higher coding accuracy and compliance are ensured by this experience, which is essential for accurate invoicing and regulatory compliance. Furthermore, without being constrained by workforce levels, outsourcing enables healthcare organizations to quickly scale up or down their coding operations in response to demand. This flexibility helps to drive segmental growth because it is especially useful at busy times or when dealing with abrupt spikes in patient volumes.

Healthcare providers can take advantage of AI-driven coding benefits without having to make the initial financial investment by contracting with specialized vendors for medical coding services. It offers affordable options, particularly for smaller medical facilities. In addition to relieving internal workers of coding responsibilities, outsourced coding services may quickly integrate AI technology, guaranteeing code correctness, scalability, and compliance. This strategy makes outsourcing a desirable option in the developing field of AI in medical coding since it helps healthcare organizations simplify their processes, cut expenses, and concentrate on core healthcare responsibilities.

End use Segment Analysis

In AI in medical coding market, healthcare providers & diagnostic centers segment is projected to hold revenue share of more than 44.9% by 2035 due to its essential role in putting these technologies into practice and reaping their benefits. Healthcare organizations, such as clinics, hospitals, and medical centers, are eager to increase revenue cycle management, decrease coding errors, and improve operational efficiency. By using AI in medical coding, they can guarantee accurate code assignments, speed up billing processes, and simplify the coding process. This is a major factor in the industry's adoption of AI since it not only saves money and generates more income but also enables healthcare professionals to refocus their energies on providing better patient care.

Our in-depth analysis of the AI in medical coding market includes the following segments:

Mode

  • Outsourced
  • In-house

Application

  • Automated Coding
  • Fraud and Error Detection
  • Data Analysis

End use

  • Healthcare Providers & Diagnostic Centers
  • Insurance Companies
  • Medical Coding Companies
  • Government Bodies

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

In the year 2026, the industry size of AI in medical coding is assessed at USD 3.35 billion.

The global AI in medical coding market size was valued at over USD 2.99 billion in 2025 and is expected to expand at a CAGR of more than 13.5%, surpassing USD 10.61 billion revenue by 2035.

North America AI in medical coding market will account for 54.50% share by 2035, driven by technological advancements and high chronic illness rates.

Key players in the market include 3M Company, Optum, Inc. (UnitedHealth Group), Nuance Communications, Inc. (Microsoft), Cerner Corporation (Oracle), Dolbey Systems, Inc., Aviacode (GeBBS Healthcare Solutions), Artificial Medical Intelligence, Inc., Iodine Software, M*Modal (3M), Coding Strategies, Inc.
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