의료 코딩용 AI 시장 규모, 점유율 및 동향 분석 보고서 : 컴포넌트별, 지역별, 주요 기업, 경쟁 분석 및 부문 예측(2026-2033년)
AI In Medical Coding Market Size, Share & Trends Analysis Report By Component (In-house, Outsourced), By Region (North America, Europe, APAC, Latin America, MEA), Key Companies, Competitive Analysis, And Segment Forecasts, 2026 - 2033
상품코드:1941501
리서치사:Grand View Research
발행일:2026년 01월
페이지 정보:영문 100 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
의료 코딩용 AI 시장 개요
세계의 의료 코딩용 AI 시장 규모는 2025년 28억 6,000만 달러로 추정되며, 2033년에 86억 2,000만 달러에 이를 것으로 예측됩니다.
또한 2026-2033년 연평균 복합 성장률(CAGR) 14.19%를 나타낼 것으로 예측됩니다. 증가하는 관리 업무 부담과 코딩의 복잡성, 인력 부족과 생산성 제약, 그리고 비용 절감과 수익 사이클의 최적화가 시장 성장의 주요 요인으로 작용하고 있습니다.
의료 기관은 엄격한 청구 일정과 상환 주기에 직면해 있습니다. 코딩 지연은 현금 흐름과 업무 계획에 영향을 미칩니다. AI 지원 코딩을 통해 의료 기록 검토 및 코드 할당을 가속화합니다. 자동화를 통해 거의 실시간에 가까운 코딩 워크플로우를 구현할 수 있습니다. 신속한 처리는 최초 청구 승인률을 향상시킵니다. 손의 반송을 줄이면 관리 간접비를 줄일 수 있습니다. 효율성에 대한 요구가 시장 수요를 강화하고 있습니다. 예를 들어, 2025년 4월 Cleveland Clinic은 의료 코딩에 생성형 AI를 도입하여 임상 문서에서 코드 할당을 자동화했습니다. 이 노력은 정확성 향상, 관리 업무 부담 감소, 청구 프로세스 단축을 목표로 하고 있습니다.
또한, 임상 문서와 코딩 시스템의 복잡성이 증가하고 있는 것이 의료 코딩 산업에서 AI 도입의 큰 촉진제 역할을 하고 있습니다. 보다 효율적이고 편리한 코딩 청구 솔루션에 대한 수요가 증가하고 있습니다. 의료 코딩은 다양한 의료기관 간 일관된 문서화를 보장하는 데 중요한 역할을 합니다. 의료 코딩 기업은 헬스케어 관리자가 시설 내 치료 빈도와 효과를 분석할 수 있게 해주며, 3차 의료기관과 같은 대규모 의료기관에 중요한 역할을 합니다.
수익 사이클 시스템과의 통합은 재무 관리 및 모니터링 기능을 강화합니다. 조직은 위험 감소를 우선순위로 삼고 있습니다. 컴플라이언스를 통한 재정적 보호가 시장 성장을 가속하고 있습니다. 예를 들어, 2025년 4월 램소프트와 Maverick Medical AI는 AI를 활용한 의료 코딩을 램소프트의 영상의학과 워크플로우에 통합하기 위해 제휴를 맺었습니다. 이 솔루션은 진료 현장에서 실시간 코딩을 실현하고, 자동화된 컴플라이언스 준수 코드 생성을 통해 영상 제공업체의 정확도 향상, 관리 부담 감소, 수익 주기 프로세스 가속화 등을 지원합니다.
목차
제1장 조사 방법과 범위
제2장 주요 요약
제3장 의료 코딩용 AI 시장 변수, 동향과 범위
제4장 의료 코딩용 AI 시장 : 컴포넌트별, 추정 및 동향 분석
제5장 의료 코딩용 AI 시장 : 지역별, 추정 및 동향 분석
제6장 경쟁 구도
LSH
영문 목차
영문목차
AI In Medical Coding Market Summary
The global AI in medical coding market size was estimated at USD 2.86 billion in 2025 and is projected to reach USD 8.62 billion by 2033, growing at a CAGR of 14.19% from 2026 to 2033. Rising administrative burdens and coding complexity, workforce shortages and productivity constraints, as well as cost containment and revenue cycle optimization, are significant factors contributing to market growth.
Healthcare organizations face strict billing timelines and reimbursement cycles. Delays in coding affect cash flow and operational planning. AI-assisted coding accelerates chart review and code assignment. Automation supports near-real-time coding workflows. Faster turnaround improves first-pass claim acceptance. Reduced rework lowers administrative overhead. Efficiency requirements strengthen market demand. For instance, in April 2025, Cleveland Clinic implemented generative AI for medical coding to automate code assignment from clinical documentation. The initiative aims to improve accuracy, reduce administrative workload, and accelerate billing processes.
Moreover, the increasing complexity of clinical documentation and coding systems is a significant driver of the AI in medical coding industry. There is a growing demand for a more streamlined and convenient coding and billing solution. Medical coding plays a crucial role in ensuring consistent documentation across various medical facilities. Medical coding companies enable healthcare administrators to analyze the frequency and effectiveness of treatments within their facilities, important for large medical establishments, such as tertiary-care hospitals.
Integration with revenue cycle systems enhances financial control and oversight. Organizations prioritize risk mitigation. Compliance-driven financial protection fuels market growth. For instance, in April 2025, RamSoft and Maverick Medical AI partnered to integrate AI-powered medical coding into RamSoft's radiology workflow. The solution delivers real-time coding at the point of care, improving accuracy, reducing administrative burden, and accelerating revenue cycle processes for imaging providers through automated, compliant code generation.
Global AI in Medical Coding Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in medical coding market report based on component and region.
Component Outlook (Revenue, USD Million, 2021 - 2033)
In-house
Outsourced
Regional Outlook (Revenue, USD Million, 2021 - 2033)
North America
U.S.
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
Denmark
Sweden
Norway
Asia Pacific
China
Japan
India
South Korea
Australia
Thailand
Latin America
Brazil
Argentina
MEA
South Africa
Saudi Arabia
UAE
Kuwait
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Component Segment
1.3. Information analysis
1.3.1. Market formulation & data visualization
1.4. Data validation & publishing
1.5. Information Procurement
1.5.1. Primary Research
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Model
1.9. Total Market: CAGR Calculation
1.10. Objectives
1.10.1. Objective 1
1.10.2. Objective 2
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
Chapter 3. AI in Medical Coding Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook.
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.2. Market restraint analysis
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. AI in Medical Coding Market Analysis Tools
3.3.1. Industry Analysis - Porter's Five Forces Analysis
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
3.3.2.4. Environmental Landscape
3.3.2.5. Legal Landscape
3.3.2.6. Social Landscape
Chapter 4. AI in Medical Coding Market: Component Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Global AI in Medical Coding Market Component Movement Analysis
4.3. Global AI in Medical Coding Market Size & Trend Analysis, by component, 2021 to 2033 (USD Million)
4.4. In-house
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. Outsourced
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. AI in Medical Coding Market: Regional Estimates & Trend Analysis
5.1. Regional Market Share Analysis, 2025 & 2033
5.2. Regional Market Dashboard
5.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
5.4. North America
5.4.1. U.S.
5.4.1.1. Key country dynamics
5.4.1.2. Regulatory framework
5.4.1.3. Competitive scenario
5.4.1.4. U.S. market estimates and forecasts, 2021 to 2033 (USD Million)
5.4.2. Canada
5.4.2.1. Key country dynamics
5.4.2.2. Regulatory framework
5.4.2.3. Competitive scenario
5.4.2.4. Canada market estimates and forecasts, 2021 to 2033 (USD Million)
5.4.3. Mexico
5.4.3.1. Key country dynamics
5.4.3.2. Regulatory framework
5.4.3.3. Competitive scenario
5.4.3.4. Mexico market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. Europe
5.5.1. UK
5.5.1.1. Key country dynamics
5.5.1.2. Regulatory framework
5.5.1.3. Competitive scenario
5.5.1.4. UK market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.2. Germany
5.5.2.1. Key country dynamics
5.5.2.2. Regulatory framework
5.5.2.3. Competitive scenario
5.5.2.4. Germany market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.3. France
5.5.3.1. Key country dynamics
5.5.3.2. Regulatory framework
5.5.3.3. Competitive scenario
5.5.3.4. France market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.4. Italy
5.5.4.1. Key country dynamics
5.5.4.2. Regulatory framework
5.5.4.3. Competitive scenario
5.5.4.4. Italy market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.5. Spain
5.5.5.1. Key country dynamics
5.5.5.2. Regulatory framework
5.5.5.3. Competitive scenario
5.5.5.4. Spain market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.6. Norway
5.5.6.1. Key country dynamics
5.5.6.2. Regulatory framework
5.5.6.3. Competitive scenario
5.5.6.4. Norway market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.7. Sweden
5.5.7.1. Key country dynamics
5.5.7.2. Regulatory framework
5.5.7.3. Competitive scenario
5.5.7.4. Sweden market estimates and forecasts, 2021 to 2033 (USD Million)
5.5.8. Denmark
5.5.8.1. Key country dynamics
5.5.8.2. Regulatory framework
5.5.8.3. Competitive scenario
5.5.8.4. Denmark market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Asia Pacific
5.6.1. Japan
5.6.1.1. Key country dynamics
5.6.1.2. Regulatory framework
5.6.1.3. Competitive scenario
5.6.1.4. Japan market estimates and forecasts, 2021 to 2033 (USD Million)
5.6.2. China
5.6.2.1. Key country dynamics
5.6.2.2. Regulatory framework
5.6.2.3. Competitive scenario
5.6.2.4. China market estimates and forecasts, 2021 to 2033 (USD Million)
5.6.3. India
5.6.3.1. Key country dynamics
5.6.3.2. Regulatory framework
5.6.3.3. Competitive scenario
5.6.3.4. India market estimates and forecasts, 2021 to 2033 (USD Million)
5.6.4. Australia
5.6.4.1. Key country dynamics
5.6.4.2. Regulatory framework
5.6.4.3. Competitive scenario
5.6.4.4. Australia market estimates and forecasts, 2021 to 2033 (USD Million)
5.6.5. South Korea
5.6.5.1. Key country dynamics
5.6.5.2. Regulatory framework
5.6.5.3. Competitive scenario
5.6.5.4. South Korea market estimates and forecasts, 2021 to 2033 (USD Million)
5.6.6. Thailand
5.6.6.1. Key country dynamics
5.6.6.2. Regulatory framework
5.6.6.3. Competitive scenario
5.6.6.4. Thailand market estimates and forecasts, 2021 to 2033 (USD Million)
5.7. Latin America
5.7.1. Brazil
5.7.1.1. Key country dynamics
5.7.1.2. Regulatory framework
5.7.1.3. Competitive scenario
5.7.1.4. Brazil market estimates and forecasts, 2021 to 2033 (USD Million)
5.7.2. Argentina
5.7.2.1. Key country dynamics
5.7.2.2. Regulatory framework
5.7.2.3. Competitive scenario
5.7.2.4. Argentina market estimates and forecasts, 2021 to 2033 (USD Million)
5.8. MEA
5.8.1. South Africa
5.8.1.1. Key country dynamics
5.8.1.2. Regulatory framework
5.8.1.3. Competitive scenario
5.8.1.4. South Africa market estimates and forecasts, 2021 to 2033 (USD Million)
5.8.2. Saudi Arabia
5.8.2.1. Key country dynamics
5.8.2.2. Regulatory framework
5.8.2.3. Competitive scenario
5.8.2.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
5.8.3. UAE
5.8.3.1. Key country dynamics
5.8.3.2. Regulatory framework
5.8.3.3. Competitive scenario
5.8.3.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
5.8.4. Kuwait
5.8.4.1. Key country dynamics
5.8.4.2. Regulatory framework
5.8.4.3. Competitive scenario
5.8.4.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)
