Towards Healthcare
AI in Medical Coding Market to Surge USD 10.39 Bn by 2035.

AI in Medical Coding Market Expands with Accuracy Demand Worldwide

Based on market forecasts, the AI in medical coding sector will expand from USD 2.98 billion in 2025 to USD 10.39 billion by 2035, experiencing a CAGR of 13.3%. AI in medical coding uses artificial intelligence to analyze clinical documents and automatically assign accurate medical codes for diagnoses and procedures. It speeds up coding, reduces errors, improves billing accuracy, and helps healthcare providers focus more on patient care.

Last Updated : 22 December 2025 Category: Healthcare IT Insight Code: 5090 Format: PDF / PPT / Excel

Introduction

  • Research Objective
  • Scope of the Study
  • Definition and Taxonomy

Research Methodology

  • Research Approach
  • Data Sources
  • Assumptions

Executive Summary

  • Synopsis
  • Analyst Recommendations

Market Overview 

  • Market Dynamics
    • Market Drivers
    • Market Restraints
    • Market Opportunities
  • Value Chain Analysis
    • Raw Material Sourcing
    • Manufacturing Process
    • Logistics & Transportation
    • Buyer Preferences
  • Trends
    • Market Trends
    • Technological Trends
  • Porter’s Five Forces Analysis
    • Bargaining Power of Suppliers
    • Bargaining Power of Buyers
    • Threat of Substitute
    • Threat of New Entrants
    • Degree of Competition
  • PESTLE Analysis for 5 Leading Countries
    • Regulatory Framework for Leading Countries/Regions
    • Supply Demand Analysis
    • Production & Consumption Statistics
    • Export Import Statistics
    • Price Trend Analysis

Global AI in Medical Coding Market Assessment

  • Overview
  • Global AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • Global AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers
  • Global AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Geography (2021 – 2033)
    • North America
    • Europe
    • Asia-Pacific
    • Latin America
    • The Middle East and Africa

North America AI in Medical Coding Market Assessment

  • Overview
  • North America AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • North America AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers

Europe AI in Medical Coding Market Assessment

  • Overview
  • Europe AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • Europe AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers

Asia-Pacific AI in Medical Coding Market Assessment

  • Overview
  • Asia-Pacific AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • Asia-Pacific AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers

Latin America AI in Medical Coding Market Assessment

  • Overview
  • Latin America AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • Latin America AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers

The Middle East and Africa AI in Medical Coding Market Assessment

  • Overview
  • The Middle East and Africa AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by Components (2021 – 2033)
    • In-House
    • Outsourced
  • The Middle East and Africa AI in Medical Coding Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Healthcare Providers
    • Medical Billing
    • Companies
    • Payers

Company Profiles

  • 3M Health Information System
    • Company Overview
    • Geographic Footprints
    • Financial Performance
    • Product Portfolio
    • SWOT Analysis
    • R&D Efforts
    • Recent Developments & Strategic Collaborations
      • Product Launch/M&A/Technical Collaboration
  • Nuance Communications
  • TruCode LLC
  • Optum
  • Cerner corporation
  • Aviacode
  • Olive AI
  • Medicodio
  • Fathom, Inc.
  • Wolters Kluwer Health

Conclusion & Recommendations

About The Author

Rohan Patil is a seasoned market research professional with over 5 years of focused experience in the healthcare sector, bringing deep domain expertise, strategic foresight, and analytical precision to every project he undertakes.

He began his journey with Precedence Research, where he played a pivotal role in developing high-impact healthcare market reports. Today, Rohan leads research initiatives at Towards Healthcare, while also contributing to Statifacts, where he supports cross-industry analysis and data-driven storytelling.

Rohan’s core strengths lie in trend analysis and emerging technologies, regulatory monitoring and thought leadership through high-quality report writing. He excels at identifying future-ready opportunities and translating complex data into strategic recommendations. His work spans pharmaceuticals, biotechnology, medical devices, and digital health, assessing everything from market potential and competitive positioning to customer needs and regulatory shifts.

A trusted advisor and a relentless innovator, Rohan continues to push the boundaries of traditional market research, merging scientific rigor with commercial insight to stay ahead in a fast-evolving healthcare landscape.

FAQ's

The global AI in medical coding market is projected to grow from USD 2.98 billion in 2025 to USD 10.39 billion by 2035 at a CAGR of 13.3%.

North America leads the market due to strong healthcare infrastructure, high R&D investments, favorable reimbursement policies, and widespread AI adoption.

AI automates code assignment using NLP and machine learning, reduces human errors by up to 30%, processes large datasets faster, and continuously improves accuracy through learning algorithms.

World Health Organisation, National Institute of Health, Academy of Medical Coders India, CMS.gov, CDC.gov.