查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
醫療編碼中的人工智慧市場規模、佔有率和趨勢分析報告：按組件、地區和細分市場分類的趨勢，2023-2030年
市場調查報告書
商品編碼
1321387

醫療編碼中的人工智慧市場規模、佔有率和趨勢分析報告：按組件、地區和細分市場分類的趨勢，2023-2030年

AI In Medical Coding Market Size, Share & Trends Analysis Report By Component (In-house, Outsourced), By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 90 Pages | 商品交期: 2-10個工作天內

價格

人工智慧市場成長和醫療編碼趨勢

Grand View Research 的最新報告顯示，到2030年，全球醫療編碼人工智慧市場預計將達到 57.1 億美元。

預計2023年至2030年該市場將以13.7%的年複合成長率成長。醫療編碼中的人工智慧 (AI) 促進因素，包括增加醫療編碼過程的複雜性。醫療保健資料的成長需要先進的技術來簡化和自動化編碼操作。人工智慧可以有效分析大量資料、識別模式並準確分配程式碼，提高效率並減少申請錯誤。

由於醫療資料量的增加以及需要有效的流程來管理 COVID-19 病例激增，COVID-19 大流行對醫療編碼行業的人工智慧產生了重大影響。因此，人工智慧驅動的解決方案的推出加速。此外，向遠距工作的轉變和遠端醫療服務的興起日益擴大對醫療編碼中人工智慧的需求，以實現醫療記錄的遠端存取和分析。這些由疫情引發的市場變化預計將產生持久影響，並推動未來幾年的顯著成長。

自動化醫療編碼為醫療保健提供者提供了許多好處，提高了效率、準確性和收入週期管理。透過利用人工智慧和機器學習演算法，自動化系統可以快速且準確地分析醫療文件、提取相關資訊並分配適當的程式碼。這消除了手動編碼的需要，節省了時間並降低了人為錯誤的風險。自動化系統還可以提高對編碼指南和法規的遵從性，並減少審核和否認的可能性。此外，它還透過加快編碼流程、最佳化償付和減少積壓來改善收入週期管理。自動化醫療編碼使醫療保健提供者能夠簡化營運、致力於患者照護並實現更好的財務績效。

此外，市場主要企業推出創新的解決方案和服務以保持競爭力。例如，2020年 11月，Diagnoss 推出了一款人工智慧助手，可以減少醫療編碼錯誤，解決醫療保健申請流程中的重要問題。該人工智慧助理利用先進的演算法來分析醫療文件、識別潛在錯誤並即時提案準確的編碼。該解決方案目的是提高準確性、減少申請拒絕並最佳化收入週期管理。這項創新解決方案有可能提高醫療保健提供者的營運效率和財務績效，最終改善患者照護並節省成本。

同樣，2022年 9月，AGS Health 宣布了專為端到端收入周期管理和醫療編碼而設計的人工智慧平台。這個創新平台融合了人工智慧功能，可以最佳化收入週期的各個方面，包括醫療編碼、申請、理賠管理和償付。透過利用先進的演算法和自動化，AGS Health 的人工智慧平台目的是提高營運效率、減少申請錯誤、加快支付週期並提高醫療保健提供者的整體收入績效。此次發布標誌著人工智慧在醫療保健行業的日益普及及其改變醫療編碼流程的潛力。

醫療編碼市場中的人工智慧報告亮點

  • 以組成部分來看，外包業務在2022年所佔營收佔有率最高。其收入佔有率為 66.8%，預計在預測期內將以 14.5%的最快年複合成長率成長。
  • 醫療保健提供者選擇外包醫療編碼以最大限度地降低管理成本。這種方法有助於降低成本、節省時間並簡化工作流程。
  • 2022年，北美地區佔多數佔有率，達到 31.8%。由於技術進步和醫療保健基礎設施的改善，預計北美市場將在整個預測期內佔據重要佔有率。

目錄

第1章 調查方法與範圍

  • 市場區隔和範圍
  • 市場定義
  • 調查方法
  • 調查範圍和先決條件
  • 估計流程
  • 資料來源列表

第2章 執行摘要

第3章 醫療編碼市場中的人工智慧變數、趨勢和範圍

  • 繪製普及和成長預測
  • 價格分析
  • 從使用者觀點分析
    • 消費行為分析
    • 市場影響力分析
  • 市場體系預測
    • 母市場預測
    • 附隨市場預測
  • 法律規範
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素分析
    • 產業挑戰
  • 醫療編碼中的人工智慧市場分析工具
    • 醫療編碼中的人工智慧市場—波特的分析
    • PESTEL分析
  • COVID-19 對醫療編碼領域人工智慧市場的影響

第4章 醫療編碼中的人工智慧市場：組件估計和趨勢分析

  • 醫療編碼中的人工智慧市場：2023年和2030年組件變化分析
  • 公司內部
  • 外包

第5章 醫療編碼中的人工智慧市場：區域業務分析

  • 區域市場簡介
  • 北美洲
    • 2018年至2030年市場估計與預測
    • 美國
    • 加拿大
  • 歐洲
    • 歐洲市場，2018-2030
    • 英國
    • 德國
    • 西班牙
    • 法國
    • 義大利
    • 丹麥
    • 瑞典
    • 挪威
  • 亞太地區
    • 亞太市場，2018-2030
    • 日本
    • 中國
    • 印度
    • 韓國
    • 泰國
    • 澳洲
  • 拉丁美洲
    • 拉丁美洲市場，2018-2030
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東、非洲
    • MEA 市場，2018-2030
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第6章 競爭分析

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司/競爭分類（主要創新者、市場領導者、新興企業）
  • 公司市場分析
  • 公司市佔率分析(%)

第7章 公司簡介

  • 參與企業概況
  • 財務績效
  • 參與企業
    • 獲得
    • 推出產品和服務
    • 夥伴關係/協作
    • 其他
Product Code: GVR-4-68040-098-0

AI In Medical Coding Market Growth & Trends

The global AI in medical coding market size is expected to reach USD 5.71 billion by 2030, based on a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 13.7% from 2023 to 2030. Several drivers propel artificial intelligence (AI) in medical coding, such as the increasing complexity of healthcare coding processes. The growing volume of healthcare data necessitates advanced technologies to streamline and automate coding operations. AI can efficiently analyze large amounts of data, identify patterns, and accurately assign codes, improving efficiency and reducing billing errors.

The COVID-19 pandemic significantly impacted AI in the medical coding industry, driven by the increased volume of healthcare data and the need for efficient processes to manage the surge in COVID-19 cases. This has led to the accelerated adoption of AI-powered solutions. Furthermore, the shift to remote work and the rise of telehealth services have amplified the demand for AI in medical coding to enable remote access and analysis of medical records. These pandemic-driven changes in the market are projected to have a lasting impact, fueling substantial growth in the coming years.

Automated medical coding offers numerous benefits to healthcare providers, improving efficiency, accuracy, and revenue cycle management. By leveraging artificial intelligence and machine learning algorithms, automated systems can quickly and accurately analyze medical documentation, extract relevant information, and assign appropriate codes. This eliminates the need for manual coding, saving time and reducing the risk of human errors. Automated systems also enhance compliance with coding guidelines and regulations, reducing the chances of audits and denials. Furthermore, it improves revenue cycle management by accelerating the coding process, optimizing reimbursement, and reducing backlogs. With automated medical coding, healthcare providers can streamline operations, focus on patient care, and achieve better financial outcomes.

Moreover, key players in the market are launching innovative solutions and services to maintain a competitive edge. For instance, in November 2020, Diagnoss introduced an AI assistant to reduce medical coding errors, addressing a critical challenge in healthcare billing processes. The AI assistant utilizes advanced algorithms to analyze medical documentation, identify potential errors, and provide real-time suggestions for accurate coding. The solution aims to improve accuracy, reduce claim denials, and optimize revenue cycle management. This innovative solution could enhance operational efficiency and financial performance for healthcare providers, ultimately improving patient care and cost savings.

Similarly, in September 2022, AGS Health unveiled an artificial intelligence platform designed for end-to-end revenue cycle management and medical coding. This innovative platform incorporates AI capabilities to optimize various aspects of the revenue cycle, including medical coding, billing, claims management, and reimbursement. By leveraging advanced algorithms and automation, AGS Health's AI platform aims to enhance operational efficiency, reduce billing errors, accelerate payment cycles, and improve overall revenue performance for healthcare providers. This launch shows the growing adoption of AI in the healthcare industry and its potential to transform medical coding processes.

AI In Medical Coding Market Report Highlights

  • Based on component, the outsourced segment accounted for the highest revenue share in 2022. Its revenue share was 66.8% and is expected to grow at the fastest CAGR of 14.5% over the forecast period
  • Healthcare providers opt to outsource their medical coding needs to minimize administrative expenses. This approach aids in cost reduction, time savings, and the streamlining of workflows
  • North America held the majority share of 31.8% in 2022. Due to technological advancements and improved healthcare infrastructure, the market in North America is projected to have a significant share throughout the forecast period

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market Segmentation And Scope
  • 1.2 Market Definition
  • 1.3 Research Methodology
    • 1.3.1 Information Procurement
      • 1.3.1.1 Purchased Database
      • 1.3.1.2 GVR's Internal Database
    • 1.3.2 Primary Research:
  • 1.4 Research Scope And Assumptions
  • 1.5 Estimation Process
  • 1.6 List Of Data Sources

Chapter 2 Executive Summary

  • 2.1 Artificial Intelligence in Medical Coding Market Outlook
  • 2.2 Artificial Intelligence in Medical Coding Market Segment Outlook
  • 2.3 Artificial Intelligence in Medical Coding Market Competitive Insights
  • 2.4 Artificial Intelligence in Medical Coding Market Snapshot

Chapter 3 Artificial Intelligence in Medical Coding Market Variables, Trends & Scope

  • 3.1 Penetration And Growth Prospect Mapping
  • 3.2 Pricing Analysis
  • 3.3 User Perspective Analysis
    • 3.3.1 Consumer Behavior Analysis
    • 3.3.2 Market Influencer Analysis
  • 3.4 Market Lineage Outlook
    • 3.4.1 Parent Market Outlook
    • 3.4.2 Ancillary Market Outlook
  • 3.5 Regulatory Framework
  • 3.6 Market Dynamics
    • 3.6.1 Market Driver Analysis
    • 3.6.2 Market Restraint Analysis
    • 3.6.3 Industry Challenge
  • 3.7 Artificial Intelligence In Medical Coding Market Analysis Tools
    • 3.7.1 Artificial Intelligence In Medical Coding Market - Porter's Analysis
      • 3.7.1.1 Bargaining Power Of The Supplier
      • 3.7.1.2 Bargaining Power Of The Buyer
      • 3.7.1.3 Threat Of New Entrants
      • 3.7.1.4 Threat Of Substitution
      • 3.7.1.5 Competitive Rivalry
    • 3.7.2 Pestel Analysis
      • 3.7.2.1 Political And Legal Landscape
      • 3.7.2.2 Economic And Social Landscape
      • 3.7.2.3 Technological Landscape
  • 3.8 Impact Of COVID-19 On Artificial Intelligence In Medical Coding Market

Chapter 4 Artificial Intelligence in Medical Coding Market: Component Estimates & Trend Analysis

  • 4.1 Artificial Intelligence In Medical Coding Market: Component Movement Analysis, 2023 & 2030 (USD Million)
  • 4.2 In-house
    • 4.2.1 In-house Market Estimates And Forecasts, 2018 - 2030 (USD Million)
  • 4.3 Outsourced
    • 4.3.1 Outsourced Market Estimates And Forecasts, 2018 - 2030 (USD Million)

Chapter 5 Artificial Intelligence In Medical Coding Market: Regional Business Analysis

  • 5.1 Regional Market Snapshot
  • 5.2 North America
    • 5.2.1 North America Digital Patient Monitoring Devices Market Estimates And Forecast, 2018 - 2030 (USD Million)
    • 5.2.2 U.S.
      • 5.2.2.1 U.S. Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.2.2 Key Country Dynamics
      • 5.2.2.3 Regulatory Framework
      • 5.2.2.4 Reimbursement Scenario
    • 5.2.3 Canada
      • 5.2.3.1 Canada Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.3.2 Key Country Dynamics
      • 5.2.3.3 Regulatory Framework
      • 5.2.3.4 Reimbursement Scenario
  • 5.3 Europe
    • 5.3.1 Europe Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.3.2 UK
      • 5.3.2.1 UK Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.2.2 Key Country Dynamics
      • 5.3.2.3 Regulatory Framework
      • 5.3.2.4 Reimbursement Scenario
    • 5.3.3 Germany
      • 5.3.3.1 Germany Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.3.2 Key Country Dynamics
      • 5.3.3.3 Regulatory Framework
      • 5.3.3.4 Reimbursement Scenario
    • 5.3.4 Spain
      • 5.3.4.1 Spain Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.4.2 Key Country Dynamics
      • 5.3.4.3 Regulatory Framework
      • 5.3.4.4 Reimbursement Scenario
    • 5.3.5 France
      • 5.3.5.1 France Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.5.2 Key Country Dynamics
      • 5.3.5.3 Regulatory Framework
      • 5.3.5.4 Reimbursement Scenario
    • 5.3.6 Italy
      • 5.3.6.1 Italy Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.6.2 Key Country Dynamics
      • 5.3.6.3 Regulatory Framework
      • 5.3.6.4 Reimbursement Scenario
    • 5.3.7 Denmark
      • 5.3.7.1 Denmark Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.7.2 Key Country Dynamics
      • 5.3.7.3 Regulatory Framework
      • 5.3.7.4 Reimbursement Scenario
    • 5.3.8 Sweden
      • 5.3.8.1 Sweden Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.8.2 Key Country Dynamics
      • 5.3.8.3 Regulatory Framework
      • 5.3.8.4 Reimbursement Scenario
    • 5.3.9 Norway
      • 5.3.9.1 Norway Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.9.2 Key Country Dynamics
      • 5.3.9.3 Regulatory Framework
      • 5.3.9.4 Reimbursement Scenario
  • 5.4 Asia Pacific
    • 5.4.1 Asia-pacific Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.4.2 Japan
      • 5.4.2.1 Japan Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.2.2 Key Country Dynamics
      • 5.4.2.3 Regulatory Framework
      • 5.4.2.4 Reimbursement Scenario
    • 5.4.3 China
      • 5.4.3.1 China Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.3.2 Key Country Dynamics
      • 5.4.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.4.4 India
      • 5.4.4.1 India Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.4.2 Key Country Dynamics
      • 5.4.4.3 Regulatory Framework
      • 5.4.4.4 Reimbursement Scenario
    • 5.4.5 South Korea
      • 5.4.5.1 South Korea Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.5.2 Key Country Dynamics
      • 5.4.5.3 Regulatory Framework
      • 5.4.5.4 Reimbursement Scenario
    • 5.4.6 Thailand
      • 5.4.6.1 Thailand Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.6.2 Key Country Dynamics
      • 5.4.6.3 Regulatory Framework
      • 5.4.6.4 Reimbursement Scenario
    • 5.4.7 Australia
      • 5.4.7.1 Australia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.7.2 Key Country Dynamics
      • 5.4.7.3 Regulatory Framework
      • 5.4.7.4 Reimbursement Scenario
  • 5.5 Latin America
    • 5.5.1 Latin America Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 Brazil
      • 5.5.2.1 Brazil Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Mexico
      • 5.5.3.1 Mexico Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.4 Argentina
      • 5.5.4.1 Argentina Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.4.4 Reimbursement Scenario
  • 5.5 MEA
    • 5.5.1 MEA Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 South Africa
      • 5.5.2.1 South Africa Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Saudi Arabia
      • 5.5.3.1 Saudi Arabia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.5.4 UAE
      • 5.5.4.1 UAE Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.5 Kuwait
      • 5.5.5.1 Kuwait Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.5.2 Key Country Dynamics
      • 5.5.5.3 Regulatory Framework
      • 5.5.5.4 Reimbursement Scenario

Chapter 6 Competitive Analysis

  • 6.1 Recent Developments And Impact Analysis By Key Market Participants
  • 6.2 Company/competition Categorization (Key Innovators, Market Leaders, And Emerging Players)
  • 6.3 Company Market Position Analysis
  • 6.4 Company Market Share Analysis (%)

Chapter 7 Company Profiles

  • 7.1 Participants' Overview
  • 7.2 Financial Performance
  • 7.3 Participant Categorization
    • 7.3.1 Acquisition
    • 7.3.2 Product/service Launch
    • 7.3.3 Partnerships/collaborations
    • 7.3.4 Others

List of Tables

  • Table 1 List of secondary sources
  • Table 2 List of abbreviation
  • Table 3 North America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 4 North America artificial intelligence in medical coding market, by component, 2018 - 2030 (USD Million)
  • Table 5 U.S artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 6 Canada artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 7 Europe artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 8 Europe artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 9 UK artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 10 Germany artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 11 France artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 12 Italy artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 13 Spain artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 14 Denmark artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 15 Sweden artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 16 Norway artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 17 Asia Pacific artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 18 Asia Pacific artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 19 China artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 20 Japan artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 21 South Korea artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 22 Australia digital patient monitoring devices market, by component 2018 - 2030 (USD Million)
  • Table 23 Thailand artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 24 Latin America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 25 Latin America artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 26 Brazil artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 27 Mexico artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 28 Argentina artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 29 Middle East & Africa artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 30 Middle East & Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 31 South Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 32 Saudi Arabia artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 33 UAE artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 34 Kuwait artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Artificial intelligence in medical coding market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 QFD modeling for market share assessment
  • Fig. 8 Market formulation & validation
  • Fig. 9 Market snapshot
  • Fig. 10 Segment snapshot
  • Fig. 11 Segment snapshot
  • Fig. 12 Competitive landscape
  • Fig. 13 Artificial intelligence in medical coding market value, 2022 (USD Billion)
  • Fig. 14 Artificial intelligence in medical coding- Industry value chain analysis
  • Fig. 15 Artificial intelligence in medical coding market dynamics
  • Fig. 16 Artificial intelligence in medical coding market: PORTER's analysis
  • Fig. 17 Artificial intelligence in medical coding market: PESTEL analysis
  • Fig. 18 Artificial intelligence in medical coding market: By component: Key takeaways
  • Fig. 19 Artificial intelligence in medical coding market, by component: Market share, 2022 & 2030
  • Fig. 20 In-house market, 2018 - 2030 (USD Million)
  • Fig. 21 Outsourced market, 2018 - 2030 (USD Million)
  • Fig. 22 Regional marketplace: Key takeaways
  • Fig. 23 Regional marketplace: Key takeaways
  • Fig. 24 North America: SWOT analysis
  • Fig. 25 North America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Key country dynamics
  • Fig. 27 Reimbursement procurement process
  • Fig. 28 U.S. artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 Key country dynamics
  • Fig. 30 Canada artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 Europe: SWOT analysis
  • Fig. 32 Europe artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 Key country dynamics
  • Fig. 34 Germany artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Key country dynamics
  • Fig. 36 UK artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 Key country dynamics
  • Fig. 38 France color-correcting classes market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 Key country dynamics
  • Fig. 40 Italy artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 Key country dynamics
  • Fig. 42 Spain artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Key country dynamics
  • Fig. 44 Denmark artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 Key country dynamics
  • Fig. 46 Sweden artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 Key country dynamics
  • Fig. 48 Norway artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 Asia Pacific: SWOT analysis
  • Fig. 50 Asia Pacific artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 51 Key country dynamics
  • Fig. 52 Reimbursement procurement process
  • Fig. 53 Japan artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 54 Key country dynamics
  • Fig. 55 China artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 56 Key country dynamics
  • Fig. 57 India artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 58 Key country dynamics
  • Fig. 59 Australia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 60 Key country dynamics
  • Fig. 61 South Korea artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 62 Key country dynamics
  • Fig. 63 Thailand artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 64 Key country dynamics
  • Fig. 65 Latin America: SWOT analysis
  • Fig. 66 Latin America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 67 Key country dynamics
  • Fig. 68 Brazil artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 69 Key country dynamics
  • Fig. 70 Mexico artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 71 Key country dynamics
  • Fig. 72 Argentina artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 73 MEA: SWOT analysis
  • Fig. 74 Middle East & Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 75 Key country dynamics
  • Fig. 76 South Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 77 Key country dynamics
  • Fig. 78 Saudi Arabia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 79 Key country dynamics
  • Fig. 80 UAE artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 81 Key country dynamics
  • Fig. 82 Kuwait artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 83 Key company categorization
  • Fig. 84 Company market position analysis