2025-2029年全球醫療計費人工智慧市場

全球醫療計費領域的人工智慧 (AI) 市場預計在 2024-2029 年預測期內將以 33.3% 的複合年成長率成長，達到 109.379 億美元。

本報告對全球醫療計費領域的人工智慧市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家公司的供應商分析。

該報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長要素包括醫療編碼和法規結構日益複雜化、提高營運效率和加強收入週期管理的經濟壓力、人工智慧技術的協同進步以及醫療保健數據的激增。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

研究指出，由於管理成本不斷上升，對營運效率的需求日益成長，這是未來幾年推動全球醫療計費人工智慧市場成長的關鍵因素之一。此外，應對日益複雜的醫療編碼和監管合規問題，以及生成式人工智慧和大規模語言模型（LLM）帶來的變革性影響，預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格、生命週期、顧客購買籃、採用率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球醫療計費人工智慧市場
• 2019-2023年按部署方式分類的細分市場分析
• 應用細分市場分析 2019-2023
• 2019-2023年最終用戶細分市場分析
• 2019-2023年區域細分市場分析
• 2019-2023年國家細分市場分析

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

7. 依部署方式進行市場區隔

• 比較：依部署方式
• 基於雲端的
• 本地部署
• 按部署方式分類的市場機會

第8章 按應用進行市場細分

• 比較：透過應用
• 理賠處理與審核
• 自動化編碼和文檔
• 收入分析與預測
• 詐欺偵測和風險評分
• 患者支付最佳化
• 按應用分類的市場機會

9. 按最終用戶進行市場區隔

• 比較：按最終用戶
• 醫院和診所
• 醫療保險公司
• 門診手術中心（ASC）
• 帳單外包公司
• 按最終用戶分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 以色列
  • 土耳其
• 各區域的市場機遇

第12章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• Access Healthcare
• Athenahealth Inc.
• CareCloud Inc.
• CodaMetrix
• Ensemble Health Partners
• Epic Systems Corp.
• Fathom Health
• GE Healthcare Technologies
• Hangzhou Weiyi Health Technology Co. Ltd.
• Infosys Ltd.
• NextGen Healthcare Inc.
• Nym Health
• Optum Inc.
• R1 RCM Inc.
• Waystar Inc.

第15章附錄

The global AI in medical billing market is forecasted to grow by USD 10937.9 mn during 2024-2029, accelerating at a CAGR of 33.3% during the forecast period. The report on the global AI in medical billing market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating complexity of medical coding and regulatory frameworks, economic pressures mandating operational efficiency and enhanced revenue cycle management, synergistic advancement in AI technologies and proliferation of healthcare data.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI in medical billing market is segmented as below:

By Deployment

• Cloud-based
• On-premises

By Application

• Claims processing and adjudication
• Automated coding and documentation
• Revenue analytics and forecasting
• Fraud detection and risk scoring
• Patient payment optimization

By End-User

• Hospitals and clinics
• Healthcare payers
• ASCs
• Billing outsourcing firms

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the critical imperative for operational efficiency amid escalating administrative costs as one of the prime reasons driving the global AI in medical billing market growth during the next few years. Also, navigating increasing complexity of medical coding and regulatory compliance and transformative impact of generative AI and llm will lead to sizable demand in the market.

The report on the global AI in medical billing market covers the following areas:

• Global AI in medical billing market sizing
• Global AI in medical billing market forecast
• Global AI in medical billing market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in medical billing market vendors that include Access Healthcare, Athenahealth Inc., CareCloud Inc., CodaMetrix, eClinicalWorks LLC, Ensemble Health Partners, Epic Systems Corp., Fathom Health, Fujitsu Ltd., GE Healthcare Technologies, Hangzhou Weiyi Health Technology Co. Ltd., Infosys Ltd., McKesson Corp., NextGen Healthcare Inc., Nym Health, Optum Inc., R1 RCM Inc., SWORD Health Technologies Inc., Waystar Inc., Wipro Ltd.. Also, the global AI in medical billing market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI In Medical Billing Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI In Medical Billing Market 2019 - 2023 ($ million)
• 5.2 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.3 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Deployment

• 7.1 Market segments
• 7.2 Comparison by Deployment
• 7.3 Cloud-based - Market size and forecast 2024-2029
• 7.4 On-premises - Market size and forecast 2024-2029
• 7.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

8 Market Segmentation by Application

• 8.1 Market segments
• 8.2 Comparison by Application
• 8.3 Claims processing and adjudication - Market size and forecast 2024-2029
• 8.4 Automated coding and documentation - Market size and forecast 2024-2029
• 8.5 Revenue analytics and forecasting - Market size and forecast 2024-2029
• 8.6 Fraud detection and risk scoring - Market size and forecast 2024-2029
• 8.7 Patient payment optimization - Market size and forecast 2024-2029
• 8.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Hospitals and clinics - Market size and forecast 2024-2029
• 9.4 Healthcare payers - Market size and forecast 2024-2029
• 9.5 ASCs - Market size and forecast 2024-2029
• 9.6 Billing outsourcing firms - Market size and forecast 2024-2029
• 9.7 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 Europe - Market size and forecast 2024-2029
  • 11.4.1 Germany - Market size and forecast 2024-2029
  • 11.4.2 UK - Market size and forecast 2024-2029
  • 11.4.3 France - Market size and forecast 2024-2029
  • 11.4.4 Italy - Market size and forecast 2024-2029
  • 11.4.5 Spain - Market size and forecast 2024-2029
  • 11.4.6 The Netherlands - Market size and forecast 2024-2029
• 11.5 APAC - Market size and forecast 2024-2029
  • 11.5.1 China - Market size and forecast 2024-2029
  • 11.5.2 Japan - Market size and forecast 2024-2029
  • 11.5.3 India - Market size and forecast 2024-2029
  • 11.5.4 South Korea - Market size and forecast 2024-2029
  • 11.5.5 Australia - Market size and forecast 2024-2029
  • 11.5.6 Indonesia - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.2 UAE - Market size and forecast 2024-2029
  • 11.7.3 South Africa - Market size and forecast 2024-2029
  • 11.7.4 Israel - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Escalating complexity of medical coding and regulatory frameworks
  • Economic pressures mandating operational efficiency and enhanced revenue cycle management
  • Synergistic advancement in AI technologies and proliferation of healthcare data
• 12.2 Market challenges
  • Navigating stringent data privacy and security imperatives
  • Overcoming prohibitive implementation costs and complex systems integration
  • Addressing evolving regulatory scrutiny and absence of standardized AI frameworks
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Critical imperative for operational efficiency amid escalating administrative costs
  • Navigating increasing complexity of medical coding and regulatory compliance
  • Transformative impact of generative AI and LLM

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Access Healthcare
  • Access Healthcare - Overview
  • Access Healthcare - Product / Service
  • Access Healthcare - Key offerings
  • SWOT
• 14.5 Athenahealth Inc.
  • Athenahealth Inc. - Overview
  • Athenahealth Inc. - Product / Service
  • Athenahealth Inc. - Key offerings
  • SWOT
• 14.6 CareCloud Inc.
  • CareCloud Inc. - Overview
  • CareCloud Inc. - Business segments
  • CareCloud Inc. - Key news
  • CareCloud Inc. - Key offerings
  • CareCloud Inc. - Segment focus
  • SWOT
• 14.7 CodaMetrix
  • CodaMetrix - Overview
  • CodaMetrix - Product / Service
  • CodaMetrix - Key offerings
  • SWOT
• 14.8 Ensemble Health Partners
  • Ensemble Health Partners - Overview
  • Ensemble Health Partners - Product / Service
  • Ensemble Health Partners - Key offerings
  • SWOT
• 14.9 Epic Systems Corp.
  • Epic Systems Corp. - Overview
  • Epic Systems Corp. - Product / Service
  • Epic Systems Corp. - Key offerings
  • SWOT
• 14.10 Fathom Health
  • Fathom Health - Overview
  • Fathom Health - Product / Service
  • Fathom Health - Key offerings
  • SWOT
• 14.11 GE Healthcare Technologies
  • GE Healthcare Technologies - Overview
  • GE Healthcare Technologies - Business segments
  • GE Healthcare Technologies - Key news
  • GE Healthcare Technologies - Key offerings
  • GE Healthcare Technologies - Segment focus
  • SWOT
• 14.12 Hangzhou Weiyi Health Technology Co. Ltd.
  • Hangzhou Weiyi Health Technology Co. Ltd. - Overview
  • Hangzhou Weiyi Health Technology Co. Ltd. - Product / Service
  • Hangzhou Weiyi Health Technology Co. Ltd. - Key offerings
  • SWOT
• 14.13 Infosys Ltd.
  • Infosys Ltd. - Overview
  • Infosys Ltd. - Business segments
  • Infosys Ltd. - Key news
  • Infosys Ltd. - Key offerings
  • Infosys Ltd. - Segment focus
  • SWOT
• 14.14 NextGen Healthcare Inc.
  • NextGen Healthcare Inc. - Overview
  • NextGen Healthcare Inc. - Product / Service
  • NextGen Healthcare Inc. - Key news
  • NextGen Healthcare Inc. - Key offerings
  • SWOT
• 14.15 Nym Health
  • Nym Health - Overview
  • Nym Health - Product / Service
  • Nym Health - Key offerings
  • SWOT
• 14.16 Optum Inc.
  • Optum Inc. - Overview
  • Optum Inc. - Product / Service
  • Optum Inc. - Key offerings
  • SWOT
• 14.17 R1 RCM Inc.
  • R1 RCM Inc. - Overview
  • R1 RCM Inc. - Product / Service
  • R1 RCM Inc. - Key offerings
  • SWOT
• 14.18 Waystar Inc.
  • Waystar Inc. - Overview
  • Waystar Inc. - Product / Service
  • Waystar Inc. - Key offerings
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations