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表紙：医療コーディングにおけるAIの世界市場規模調査＆予測、コンポーネント別、地域別分析、2023～2030年
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1389168

医療コーディングにおけるAIの世界市場規模調査＆予測、コンポーネント別、地域別分析、2023～2030年

Global AI in Medical Coding Market Size Study & Forecast, by Component (In-house, Outsourced), and Regional Analysis, 2023-2030

出版日
ページ情報
英文
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.03円
医療コーディングにおけるAIの世界市場規模調査＆予測、コンポーネント別、地域別分析、2023～2030年
出版日: 2023年10月30日
発行: Bizwit Research & Consulting LLP
ページ情報: 英文
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の医療コーディングにおけるAI市場は、2022年に約20億6,000万米ドルと評価され、予測期間2023年から2030年にかけて13.7％以上の健全な成長率で成長すると予測されています。

医療コーディングにおける人工知能（AI）とは、医療コーディングのプロセスにAI技術を組み込むことを指します。医療コーディングは、医療診断、治療、サービスをコードに標準化するプロセスです。これらのコードは、医療分野におけるデータ分析、請求、償還に必要です。医療コーディングでは、AI技術の活用が進んでおり、コーディングプロセスのさまざまな側面を自動化・強化することで、正確性、効率性、費用対効果の向上につながっています。したがって、保険請求の不正や誤解を減らすための標準化された言語に対する需要の増加や、病院の請求およびコーディング業務の有効性を高めることへの注目の高まりが、主に世界市場の拡大に寄与しています。さらに、効率的な医療ソリューションの急速な浸透と医療データ量の増加が、推定期間中の医療コーディングにおけるAI市場の成長を促進しています。

リモートワークや遠隔医療サービスへの急速なシフトは、リモートコーダーが効果的に医療記録にアクセスし、分析することを可能にし、これらのサービスへの需要を推進しています。AIアルゴリズムは、コーディングプロセスを加速し、適切なデータを迅速に取得し、人間のプログラマーの作業負荷を軽減する上で不可欠です。Statistaによると、2019年、遠隔医療分野は世界中で約499億米ドルの価値があると推定されています。また、今後も成長が見込まれ、2025年には約2,779億米ドルに達すると予想されています。さらに、自然言語処理（NLP）の進歩や、電子カルテ（EHR）との統合が進むことで、予測期間中にさまざまな有利な機会がもたらされます。しかし、医療費請求と収益サイクル管理における非効率性の増大と、プライバシーに関する懸念の高まりが、2023～2030年の予測期間を通じて市場成長の課題となっています。

医療コーディングにおけるAIの世界市場調査において考慮した主要地域は、アジア太平洋、北米、欧州、ラテンアメリカ、中東＆アフリカです。北米は、様々な国における慢性疾患の負担増と医療インフラの拡大により、2022年の市場を独占しました。また、市場競合を維持するために、さまざまな主要企業が革新的なソリューションやサービスの提供を開始しており、この地域市場の拡大に貢献しています。一方、アジア太平洋は予測期間中に最も高いCAGRで成長すると予想されます。同地域の市場は、医療への支出の増加、政府によるイニシアチブの高まり、慢性疾患の負担増、アウトソーシングの機会などを背景に拡大しています。アジア太平洋は、医療システムの強化、AIなどの先端技術の採用、新しい医療施設の設立に重点を置くようになっているため、医療コーディングの堅調な市場開拓に発展しています。

本調査の目的は、近年のさまざまなセグメントと国の市場規模を明らかにし、今後数年間の市場規模を予測することです。本レポートは、調査対象国における産業の質的・量的側面の両方を盛り込むよう設計されています。

また、市場の将来的な成長を規定する促進要因や課題などの重要な側面に関する詳細情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場における潜在的な機会も組み込んでいます。

目次

第1章 エグゼクティブサマリー

第2章 世界の医療コーディングにおけるAI市場の定義と範囲

  • 調査目的
  • 市場の定義と範囲
    • 業界の進化
    • 調査範囲
  • 調査対象年
  • 通貨換算レート

第3章 世界の医療コーディングにおけるAI市場力学

  • 医療コーディングにおけるAI市場の影響分析（2020年～2030年）
    • 市場の促進要因
      • 医療データ量の増加
      • リモートワークと遠隔医療サービスへの急速なシフト
    • 市場の課題
      • 医療費請求および収益サイクル管理における非効率性の増大
      • 規制とプライバシーに関する懸念
    • 市場機会
      • 自然言語処理（NLP）の進歩の高まり
      • 電子カルテ（EHR）との統合の増加

第4章 世界の医療コーディングにおけるAI市場産業分析

  • ポーターの5フォースモデル
    • 供給企業の交渉力
    • 買い手の交渉力
    • 新規参入業者の脅威
    • 代替品の脅威
    • 競争企業間の敵対関係
  • ポーターの5フォース影響分析
  • PEST分析
    • 政治
    • 経済
    • 社会
    • 技術
    • 環境
    • 法律
  • 主な投資機会
  • 主要成功戦略
  • COVID-19影響分析
  • 破壊的動向
  • 業界専門家の視点
  • アナリストの結論・提言

第5章 医療コーディングにおけるAIの世界市場：コンポーネント別

  • 市場スナップショット
  • 医療コーディングにおけるAIの世界市場：コンポーネント別、実績・ポテンシャル分析
  • 医療コーディングにおけるAIの世界市場、コンポーネント別、2020～2030年、推定・予測
  • 医療コーディングにおけるAI市場、サブセグメント分析
    • 社内
    • アウトソーシング

第6章 医療コーディングにおけるAIの世界市場：地域別分析

  • 主要国
  • 主な新興国
  • 医療コーディングにおけるAI市場、地域別市場スナップショット
  • 北米
    • 米国
      • コンポーネント別、推定・予測、2020～2030年
    • カナダ
  • 欧州の医療コーディングにおけるAI市場スナップショット
    • 英国
    • ドイツ
    • フランス
    • スペイン
    • イタリア
    • その他の欧州
  • アジア太平洋の医療コーディングにおけるAI市場スナップショット
    • 中国
    • インド
    • 日本
    • オーストラリア
    • 韓国
    • その他のアジア太平洋
  • ラテンアメリカの医療コーディングにおけるAI市場スナップショット
    • ブラジル
    • メキシコ
  • 中東・アフリカ
    • サウジアラビア
    • 南アフリカ
    • その他の中東およびアフリカ

第7章 競合情報

  • 主要企業のSWOT分析
  • 主要市場戦略
  • 企業プロファイル
    • International Business Machines（IBM）Corporation
    • Fathom, Inc.
    • Epic Systems Corporation
    • Clinion
    • BUDDI.AI
    • Cerner Corporation
    • CodaMetrix
    • Nuance Communications, Inc
    • aideo technologies, LLC
    • Optum, Inc.

第8章 調査プロセス

  • 調査プロセス
    • データ鉱業
    • 分析
    • 市場推定
    • 検証
    • 出版
  • 調査属性
  • 調査前提条件
図表

LIST OF TABLES

  • TABLE 1. Global AI in Medical Coding Market, report scope
  • TABLE 2. Global AI in Medical Coding Market estimates & forecasts by Region 2020-2030 (USD Billion)
  • TABLE 3. Global AI in Medical Coding Market estimates & forecasts by Component 2020-2030 (USD Billion)
  • TABLE 4. Global AI in Medical Coding Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 5. Global AI in Medical Coding Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 6. Global AI in Medical Coding Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 7. Global AI in Medical Coding Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 8. Global AI in Medical Coding Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 9. Global AI in Medical Coding Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 10. Global AI in Medical Coding Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 11. Global AI in Medical Coding Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 12. Global AI in Medical Coding Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 13. Global AI in Medical Coding Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 14. U.S. AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 15. U.S. AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 16. U.S. AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 17. Canada AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 18. Canada AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 19. Canada AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 20. UK AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 21. UK AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 22. UK AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 23. Germany AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 24. Germany AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 25. Germany AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 26. France AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 27. France AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 28. France AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 29. Italy AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 30. Italy AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 31. Italy AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 32. Spain AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 33. Spain AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 34. Spain AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 35. RoE AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 36. RoE AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 37. RoE AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 38. China AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 39. China AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 40. China AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 41. India AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 42. India AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 43. India AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 44. Japan AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 45. Japan AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 46. Japan AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 47. South Korea AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 48. South Korea AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 49. South Korea AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 50. Australia AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 51. Australia AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 52. Australia AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 53. RoAPAC AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 54. RoAPAC AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 55. RoAPAC AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 56. Brazil AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 57. Brazil AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 58. Brazil AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 59. Mexico AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 60. Mexico AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 61. Mexico AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 62. RoLA AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 63. RoLA AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 64. RoLA AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 65. Saudi Arabia AI in Medical Coding Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 66. South Africa AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 67. RoMEA AI in Medical Coding Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 68. List of secondary sources, used in the study of global AI in Medical Coding Market
  • TABLE 69. List of primary sources, used in the study of global AI in Medical Coding Market
  • TABLE 70. Years considered for the study
  • TABLE 71. Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

  • FIG 1. Global AI in Medical Coding Market, research methodology
  • FIG 2. Global AI in Medical Coding Market, Market estimation techniques
  • FIG 3. Global Market size estimates & forecast methods
  • FIG 4. Global AI in Medical Coding Market, key trends 2022
  • FIG 5. Global AI in Medical Coding Market, growth prospects 2023-2030
  • FIG 6. Global AI in Medical Coding Market, porters 5 force model
  • FIG 7. Global AI in Medical Coding Market, pest analysis
  • FIG 8. Global AI in Medical Coding Market, value chain analysis
  • FIG 9. Global AI in Medical Coding Market by segment, 2020 & 2030 (USD Billion)
  • FIG 10. Global AI in Medical Coding Market by segment, 2020 & 2030 (USD Billion)
  • FIG 11. Global AI in Medical Coding Market by segment, 2020 & 2030 (USD Billion)
  • FIG 12. Global AI in Medical Coding Market by segment, 2020 & 2030 (USD Billion)
  • FIG 13. Global AI in Medical Coding Market by segment, 2020 & 2030 (USD Billion)
  • FIG 14. Global AI in Medical Coding Market, regional snapshot 2020 & 2030
  • FIG 15. North America AI in Medical Coding Market 2020 & 2030 (USD Billion)
  • FIG 16. Europe AI in Medical Coding Market 2020 & 2030 (USD Billion)
  • FIG 17. Asia pacific AI in Medical Coding Market 2020 & 2030 (USD Billion)
  • FIG 18. Latin America AI in Medical Coding Market 2020 & 2030 (USD Billion)
  • FIG 19. Middle East & Africa AI in Medical Coding Market 2020 & 2030 (USD Billion)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

目次

Global AI in Medical Coding Market is valued at approximately USD 2.06 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 13.7% over the forecast period 2023-2030. Artificial intelligence (AI) in medical coding refers to the incorporation of AI technology into the process of medical coding. Medical coding is the process of standardizing medical diagnoses, treatments, and services into codes. These codes are necessary for data analysis, billing, and reimbursement in the healthcare sector. AI technologies are being increasingly utilized in medical coding to automate and enhance various aspects of the coding process, leading to increased accuracy, efficiency, and cost-effectiveness. Accordingly, the increase in demand for a standardized language to reduce insurance claim fraud and misinterpretations, and the rising focus on increasing the effectiveness of hospital billing and coding operations are primarily attributed to the global market expansion. Additionally, the rapid penetration of efficient healthcare solutions, coupled with the growing volume of healthcare data is augmenting the growth of the AI in medical coding market during the estimated period.

The rapid shift towards remote work and telehealth services has propelled the demand for these services, allowing remote coders to access and analyze medical records effectively. AI algorithms have been essential in accelerating the coding process, rapidly retrieving pertinent data, and lightening the workload for human programmers. According to Statista, in 2019, the telemedicine sector was estimated to value around USD 49.9 billion around the world. Also, it is anticipated to grow and is expected to reach about USD 277.9 billion by the year 2025. Moreover, the growing advancements in Natural Language Processing (NLP), as well as the rising integration with Electronic Health Records (EHRs) present various lucrative opportunities over the forecasting years. However, the growing inefficiency in medical billing and revenue cycle management, along with increasing privacy concerns are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global AI in Medical Coding Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the growing burden of chronic diseases in various countries and the expansion of healthcare infrastructure. Also, various key players in the market are increasingly launching innovative solutions and services to maintain a competitive edge further contributing to the regional market expansion. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecasting years. The regional market is expanding due to increasing expenditures on healthcare, rising initiatives by the government, increased burden of chronic illnesses, and outsourcing opportunities. APAC has developed into a robust market for medical coding because of the increasing emphasis on enhancing healthcare systems, adoption of advanced technologies such as AI, and establishment of new healthcare facilities.

Major market players included in this report are:

  • International Business Machines (IBM) Corporation
  • Fathom, Inc.
  • Epic Systems Corporation
  • Clinion
  • BUDDI.AI
  • Cerner Corporation
  • CodaMetrix
  • Nuance Communications, Inc
  • aideo technologies, LLC
  • Optum, Inc.

Recent Developments in the Market:

  • In May 2023, Codametrix and Henry Ford Health launched their joint Autonomous Bedside Pro (ABP) medical coding system. The ABP technology enables doctors to record clinical documentation in real-time, which is subsequently examined by AI algorithms to provide precise legal codes. This novel technology decreases coding backlogs, increases productivity, and improves coding accuracy by removing the need for manual coding and optimizing workflow.
  • In March 2023, Clinion, a healthcare technology business, unveiled a clinical trial medical coding system driven by AI. The solution improves clinical trial medical coding's effectiveness, precision, and speed. Advanced AI algorithms are capable of rapidly analyzing and interpreting a high number of clinical trial data, extracting pertinent information, and assigning suitable codes, which substantially decreases the time and effort needed for coding.

Global AI in Medical Coding Market Report Scope:

  • Historical Data: 2020 - 2021
  • Base Year for Estimation: 2022
  • Forecast period: 2023-2030
  • Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered: Component, Region
  • Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • In-house
  • Outsourced

By Region:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • ROE
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • RoAPAC
  • Latin America
    • Brazil
    • Mexico
  • Middle East & Africa
    • Saudi Arabia
    • South Africa
    • Rest of Middle East & Africa

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
    • 1.2.1. AI in Medical Coding Market, by Region, 2020-2030 (USD Billion)
    • 1.2.2. AI in Medical Coding Market, by Component, 2020-2030 (USD Billion)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global AI in Medical Coding Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Industry Evolution
    • 2.2.2. Scope of the Study
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global AI in Medical Coding Market Dynamics

  • 3.1. AI in Medical Coding Market Impact Analysis (2020-2030)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Increasing volume of healthcare data
      • 3.1.1.2. Rapid shift towards remote work and telehealth services
    • 3.1.2. Market Challenges
      • 3.1.2.1. Growing inefficiency in medical billing and revenue cycle management
      • 3.1.2.2. Regulatory and privacy concerns
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Growing advancements in Natural Language Processing (NLP)
      • 3.1.3.2. Rising integration with Electronic Health Records (EHRs)

Chapter 4. Global AI in Medical Coding Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Impact Analysis
  • 4.3. PEST Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top investment opportunity
  • 4.5. Top winning strategies
  • 4.6. COVID-19 Impact Analysis
  • 4.7. Disruptive Trends
  • 4.8. Industry Expert Perspective
  • 4.9. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Medical Coding Market, by Component

  • 5.1. Market Snapshot
  • 5.2. Global AI in Medical Coding Market by Component, Performance - Potential Analysis
  • 5.3. Global AI in Medical Coding Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
  • 5.4. AI in Medical Coding Market, Sub Segment Analysis
    • 5.4.1. In-house
    • 5.4.2. Outsourced

Chapter 6. Global AI in Medical Coding Market, Regional Analysis

  • 6.1. Top Leading Countries
  • 6.2. Top Emerging Countries
  • 6.3. AI in Medical Coding Market, Regional Market Snapshot
  • 6.4. North America AI in Medical Coding Market
    • 6.4.1. U.S. AI in Medical Coding Market
      • 6.4.1.1. Component breakdown estimates & forecasts, 2020-2030
    • 6.4.2. Canada AI in Medical Coding Market
  • 6.5. Europe AI in Medical Coding Market Snapshot
    • 6.5.1. U.K. AI in Medical Coding Market
    • 6.5.2. Germany AI in Medical Coding Market
    • 6.5.3. France AI in Medical Coding Market
    • 6.5.4. Spain AI in Medical Coding Market
    • 6.5.5. Italy AI in Medical Coding Market
    • 6.5.6. Rest of Europe AI in Medical Coding Market
  • 6.6. Asia-Pacific AI in Medical Coding Market Snapshot
    • 6.6.1. China AI in Medical Coding Market
    • 6.6.2. India AI in Medical Coding Market
    • 6.6.3. Japan AI in Medical Coding Market
    • 6.6.4. Australia AI in Medical Coding Market
    • 6.6.5. South Korea AI in Medical Coding Market
    • 6.6.6. Rest of Asia Pacific AI in Medical Coding Market
  • 6.7. Latin America AI in Medical Coding Market Snapshot
    • 6.7.1. Brazil AI in Medical Coding Market
    • 6.7.2. Mexico AI in Medical Coding Market
  • 6.8. Middle East & Africa AI in Medical Coding Market
    • 6.8.1. Saudi Arabia AI in Medical Coding Market
    • 6.8.2. South Africa AI in Medical Coding Market
    • 6.8.3. Rest of Middle East & Africa AI in Medical Coding Market

Chapter 7. Competitive Intelligence

  • 7.1. Key Company SWOT Analysis
    • 7.1.1. Company 1
    • 7.1.2. Company 2
    • 7.1.3. Company 3
  • 7.2. Top Market Strategies
  • 7.3. Company Profiles
    • 7.3.1. International Business Machines (IBM) Corporation
      • 7.3.1.1. Key Information
      • 7.3.1.2. Overview
      • 7.3.1.3. Financial (Subject to Data Availability)
      • 7.3.1.4. Product Summary
      • 7.3.1.5. Recent Developments
    • 7.3.2. Fathom, Inc.
    • 7.3.3. Epic Systems Corporation
    • 7.3.4. Clinion
    • 7.3.5. BUDDI.AI
    • 7.3.6. Cerner Corporation
    • 7.3.7. CodaMetrix
    • 7.3.8. Nuance Communications, Inc
    • 7.3.9. aideo technologies, LLC
    • 7.3.10. Optum, Inc.

Chapter 8. Research Process

  • 8.1. Research Process
    • 8.1.1. Data Mining
    • 8.1.2. Analysis
    • 8.1.3. Market Estimation
    • 8.1.4. Validation
    • 8.1.5. Publishing
  • 8.2. Research Attributes
  • 8.3. Research Assumption