시장보고서
상품코드
1644163

세계의 의료비 지불자용 인공지능 시장

Artificial Intelligence for Healthcare Payers

발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 157 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

의료비 지불자용 인공지능 세계 시장, 2030년까지 37억 달러 규모에 달할 전망

2024년 23억 달러로 추정되는 의료 지불자를 위한 세계 인공지능 시장은 2024년부터 2030년까지 연평균 8.3%로 성장하여 2030년에는 37억 달러에 달할 것으로 예상됩니다. 본 보고서에서 분석한 부문 중 하나인 의료 지불자 AI 소프트웨어는 CAGR 7.7%를 기록하여 분석 기간 종료 시점에 21억 달러에 달할 것으로 예상됩니다. 의료 지불자 AI 서비스 부문은 분석 기간 동안 CAGR 9.1%의 성장률을 기록할 것으로 예상됩니다.

미국 시장 6억 550만 달러로 추정, 중국은 CAGR 8.1%로 성장 전망

미국의 의료비 지불자용 인공지능 시장은 2024년 6억 550만 달러로 추정됩니다. 세계 2위의 경제 대국인 중국은 2024-2030년 동안 8.1%의 CAGR로 2030년까지 5억 9,490만 달러의 시장 규모에 도달할 것으로 예상됩니다. 다른 주목할 만한 지역 시장으로는 일본과 캐나다가 분석 기간 동안 각각 7.6%와 7.1%의 CAGR을 기록할 것으로 예측됩니다. 유럽에서는 독일이 약 6.8%의 CAGR로 성장할 것으로 예상됩니다.

세계 의료비 지불자용 인공지능 시장 - 주요 동향 및 촉진요인 요약

AI는 의료비 지불자의 업무를 어떻게 변화시키고 있는가?

인공지능(AI)은 관리 프로세스 자동화, 의사결정 개선, 비용 관리 강화를 통해 의료비 지불자의 업무에 혁명을 일으키고 있습니다. 보험사, 매니지드 케어 조직과 같은 의료비 지불자는 청구 처리, 부정행위 탐지, 회원 서비스 등 복잡한 워크플로우를 처리해야 하는데, AI 기반 시스템은 반복적인 작업을 자동화하고 처리 시간을 단축하며 인적 오류를 최소화하여 이러한 업무를 간소화합니다. 예를 들어, AI 알고리즘은 보험금 청구를 실시간으로 분석하여 부정확하거나 불일치하는 부분을 찾아내어 보다 신속한 판단과 효율성을 높일 수 있습니다.

AI는 또한 고도의 분석 및 예측 모델링을 통해 의료비 지불자가 개인화된 서비스를 제공할 수 있게 해줍니다. AI 시스템은 인구통계, 병력, 행동 패턴과 같은 회원 데이터를 분석하여 위험 프로필과 건강 동향에 대한 인사이트를 제공합니다. 이러한 인사이트는 보험사가 타겟팅된 웰니스 프로그램을 설계하고, 혜택 플랜을 최적화하며, 회원 참여를 향상시키는 데 도움이 됩니다. 사전 예방적이고 개인화된 치료로의 전환은 회원 만족도를 향상시킬 뿐만 아니라 전체 의료 비용을 절감할 수 있으며, AI는 의료 지불자 생태계를 변화시킬 수 있는 힘으로 작용하고 있습니다.

의료비 지불자의 AI 도입 촉진요인은 무엇인가?

의료 시스템의 복잡성과 비용 절감에 대한 요구가 높아지면서 의료 지불자가 AI를 도입하는 주요 요인이 되고 있습니다. 고령화와 만성질환의 확산으로 인한 의료비 증가로 인해 보험사들은 비용을 효과적으로 관리할 수 있는 혁신적인 솔루션을 찾고 있으며, AI 기반 툴을 통해 보험사는 고위험군을 식별하고, 질병 진행을 예측하고, 예방 조치를 취해 재정적 부담을 줄일 수 있습니다. 줄일 수 있습니다.

규제 압박과 HIPAA(Health Insurance Interoperability and Accountability Act, 의료보험 상호운용성 및 책임에 관한 법률)와 같은 표준을 준수해야 하는 필요성이 AI 도입을 더욱 촉진하고 있으며, AI 시스템은 업계 규제를 준수하면서 데이터 보안과 프라이버시를 강화합니다. 또한, 서비스보다 결과를 중시하는 가치 기반 케어 모델의 부상으로 인해 케어의 질을 측정하고 최적화할 수 있는 AI 솔루션의 필요성이 증가하고 있습니다. 이러한 추세는 데이터 상호운용성 및 클라우드 기반 플랫폼의 발전과 함께 의료 지불자의 업무에 AI의 통합을 가속화하고 있습니다.

AI가 부정행위와 싸우고 클레임 관리를 개선하는 데 도움이 될 수 있을까?

AI는 부정행위에 대응하고 의료 지불자의 청구 관리를 강화하는 데 있어 중요한 도구로 입증되고 있습니다. AI 기반 시스템은 머신러닝 알고리즘을 사용하여 청구 데이터의 패턴을 분석하고 부정, 낭비 또는 남용을 나타낼 수 있는 이상 징후에 대한 경고를 표시하는 AI 기반 시스템을 통해 의료 산업에 연간 수십억 달러의 피해를 입히고 있어 부정행위 탐지가 최우선 과제로 떠오르고 있습니다. 이러한 시스템은 지속적으로 학습하고 개선되기 때문에 지불자는 진화하는 사기 수법을 미리 파악하여 금전적 손실을 최소화할 수 있습니다.

AI는 부정행위를 탐지하는 것 외에도 복잡한 프로세스를 자동화하고 정확성을 보장함으로써 청구 관리를 혁신적으로 변화시키고 있습니다. 자연어 처리(NLP) 도구는 의료 기록, 청구서 등 비정형 문서에서 데이터를 추출하고 해석하여 수작업을 줄이고 청구 승인을 신속하게 처리합니다. 또한, 예측 분석 도구는 거부될 가능성이 높은 청구를 식별하여 지불자가 사전에 문제를 해결하고 환급 일정을 개선할 수 있도록 돕습니다. 이러한 기능들은 업무 효율성을 향상시키고 지불자와 의료 서비스 제공자 간의 신뢰 관계를 구축합니다.

의료 지불인용 AI 시장의 성장을 주도하는 요인은 무엇일까?

의료비 지불자용 인공지능 시장의 성장은 몇 가지 중요한 요인에 의해 주도되고 있으며, 이는 현대의 복잡한 의료 환경을 헤쳐나가기 위한 고급 도구에 대한 수요 증가를 반영하고 있습니다. 전자 의료 기록(EHR), 웨어러블 및 기타 디지털 소스에서 생성되는 의료 데이터의 증가는 AI 시스템이 실용적인 인사이트를 제공할 수 있는 풍부한 기반을 제공하고 있습니다. 이러한 데이터를 분석하고 실시간 의사결정을 지원하는 AI의 능력은 효율성과 환자 결과를 개선하고자 하는 지불자에게 큰 가치를 창출하고 있습니다.

보다 신속하고 투명한 서비스에 대한 소비자의 기대도 AI에 대한 투자를 촉진하고 있습니다. 회원들은 원활한 대화, 개인화된 경험, 신속한 해결책을 기대하며, AI 시스템은 워크플로우를 자동화하고 능동적인 커뮤니케이션을 가능하게함으로써 이를 실현할 수 있습니다. 책임과 비용 투명성에 대한 규제 요건으로 인해 의료 지불자는 보고 및 규정 준수를 강화하는 AI 솔루션의 채택을 더욱 촉진하고 있습니다. 이러한 요인에 더해 AI 알고리즘과 클라우드 컴퓨팅의 지속적인 발전은 시장의 꾸준한 성장을 촉진하고 있으며, AI는 의료비 지불자가 업무를 최적화하고 더 나은 의료 서비스를 제공하기 위해 필수적인 자산이 되고 있습니다.

부문

컴포넌트(소프트웨어 컴포넌트, 서비스 컴포넌트), 배포(클라우드 기반 배포, 온프레미스 배포), 애플리케이션(클레임 처리 최적화 애플리케이션, 부정행위 탐지 및 방지 애플리케이션, 수익 관리 및 청구 애플리케이션, 회원 참여 및 개인화 애플리케이션, 기타 애플리케이션) 애플리케이션, 회원 참여 및 개인화 애플리케이션, 기타 애플리케이션)

조사 대상 기업 예시(주목받는 25개 기업)

  • Accenture Plc
  • AiRo Digital Labs
  • CareCloud, Inc.
  • Cognizant Technology Solutions Corporation
  • Innovaccer, Inc.
  • Optum, Inc.
  • Oracle Corporation
  • Quantiphi, Inc.
  • Softheon

목차

제1장 조사 방법

제2장 주요 요약

  • 시장 개요
  • 주요 기업
  • 시장 동향과 성장 촉진요인
  • 세계 시장 전망

제3장 시장 분석

  • 미국
  • 캐나다
  • 일본
  • 중국
  • 유럽
  • 프랑스
  • 독일
  • 이탈리아
  • 영국
  • 기타 유럽
  • 아시아태평양
  • 기타 지역

제4장 경쟁

KSM 25.03.04

Global Artificial Intelligence for Healthcare Payers Market to Reach US$3.7 Billion by 2030

The global market for Artificial Intelligence for Healthcare Payers estimated at US$2.3 Billion in the year 2024, is expected to reach US$3.7 Billion by 2030, growing at a CAGR of 8.3% over the analysis period 2024-2030. Healthcare Payers AI Software, one of the segments analyzed in the report, is expected to record a 7.7% CAGR and reach US$2.1 Billion by the end of the analysis period. Growth in the Healthcare Payers AI Services segment is estimated at 9.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$605.5 Million While China is Forecast to Grow at 8.1% CAGR

The Artificial Intelligence for Healthcare Payers market in the U.S. is estimated at US$605.5 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$594.9 Million by the year 2030 trailing a CAGR of 8.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 7.6% and 7.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 6.8% CAGR.

Global Artificial Intelligence for Healthcare Payers Market - Key Trends & Drivers Summarized

How Is AI Transforming Healthcare Payer Operations?

Artificial Intelligence (AI) is revolutionizing the operations of healthcare payers by automating administrative processes, improving decision-making, and enhancing cost management. Healthcare payers, such as insurance companies and managed care organizations, deal with complex workflows involving claims processing, fraud detection, and member services. AI-powered systems streamline these operations by automating repetitive tasks, reducing processing times, and minimizing human errors. For example, AI algorithms analyze claims in real time to identify inaccuracies or inconsistencies, ensuring faster adjudication and improved efficiency.

AI is also enabling healthcare payers to offer personalized services through advanced analytics and predictive modeling. By analyzing member data, including demographics, medical history, and behavioral patterns, AI systems provide insights into risk profiles and health trends. These insights help payers design targeted wellness programs, optimize benefit plans, and improve member engagement. This shift toward proactive and personalized care is not only improving member satisfaction but also reducing overall healthcare costs, making AI a transformative force in the healthcare payer ecosystem.

What Drives the Adoption of AI by Healthcare Payers?

The growing complexity of healthcare systems and the increasing demand for cost containment are major drivers of AI adoption by healthcare payers. Rising healthcare expenditures, driven by an aging population and the prevalence of chronic diseases, are prompting payers to seek innovative solutions to manage costs effectively. AI-powered tools enable payers to identify high-risk populations, predict disease progression, and implement preventive measures, reducing the financial burden on the system.

Regulatory pressures and the need for compliance with standards such as HIPAA (Health Insurance Portability and Accountability Act) are further encouraging the adoption of AI. AI systems enhance data security and privacy while ensuring compliance with industry regulations. Additionally, the rise of value-based care models, which emphasize outcomes over services, is driving the need for AI solutions that can measure and optimize care quality. These trends, coupled with advancements in data interoperability and cloud-based platforms, are accelerating the integration of AI into healthcare payer operations.

Can AI Help Combat Fraud and Improve Claims Management?

AI is proving to be a critical tool in combating fraud and enhancing claims management for healthcare payers. Fraudulent claims cost the healthcare industry billions annually, making fraud detection a top priority. AI-powered systems use machine learning algorithms to analyze patterns in claims data, flagging anomalies that may indicate fraud, waste, or abuse. These systems continuously learn and improve, enabling payers to stay ahead of evolving fraud tactics and minimize financial losses.

In addition to fraud detection, AI is transforming claims management by automating complex processes and ensuring accuracy. Natural language processing (NLP) tools extract and interpret data from unstructured documents, such as medical records and invoices, reducing manual intervention and speeding up claim approvals. Predictive analytics tools also identify claims likely to be denied, allowing payers to address issues proactively and improve reimbursement timelines. These capabilities are enhancing operational efficiency and building trust between payers and providers.

What’s Driving the Growth of the AI for Healthcare Payers Market?

The growth in the Artificial Intelligence for Healthcare Payers market is driven by several critical factors, reflecting the increasing need for advanced tools to navigate the complexities of modern healthcare. The rise in healthcare data, generated from electronic health records (EHRs), wearables, and other digital sources, is providing a rich foundation for AI systems to deliver actionable insights. AI’s ability to analyze this data and support real-time decision-making is creating significant value for payers seeking to improve efficiency and member outcomes.

Consumer expectations for faster, more transparent services are also driving investments in AI. Members expect seamless interactions, personalized experiences, and quick resolutions, which AI systems deliver by automating workflows and enabling proactive communication. Regulatory requirements for accountability and cost transparency are further pushing healthcare payers to adopt AI solutions that enhance reporting and compliance. These factors, along with continuous advancements in AI algorithms and cloud computing, are fueling the market’s steady growth, establishing AI as an indispensable asset for healthcare payers aiming to optimize operations and deliver better care.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence for Healthcare Payers market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Deployment (Cloud-based Deployment, On-Premise Deployment); Application (Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 25 Featured) -

  • Accenture Plc
  • AiRo Digital Labs
  • CareCloud, Inc.
  • Cognizant Technology Solutions Corporation
  • Innovaccer, Inc.
  • Optum, Inc.
  • Oracle Corporation
  • Quantiphi, Inc.
  • Softheon

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Artificial Intelligence for Healthcare Payers - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • AI Adoption Spurs Growth by Enhancing Claims Management and Fraud Detection
    • Predictive AI Tools Propel Growth in Chronic Disease Management Programs
    • AI-Enabled Cost Optimization Solutions Drive Efficiency in Payer Operations
    • Demand for AI in Population Health Management Sets the Stage for Market Growth
    • AI-Powered Payment Automation Bodes Well for Reducing Administrative Overhead
    • Healthcare Payers Embrace AI for Value-Based Care Initiatives, Driving Adoption
    • Real-Time AI Insights Spur Demand for Fraud Prevention in Insurance Processing
    • Integration of AI in Telehealth Solutions Spurs Growth in Member Access Services
    • Growing Need for Real-Time AI Analytics in Care Coordination Drives Innovation
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence for Healthcare Payers Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Claims Processing Optimization Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Claims Processing Optimization Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Fraud Detection & Prevention Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Fraud Detection & Prevention Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Revenue Management & Billing Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Revenue Management & Billing Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Member Engagement & Personalization Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Member Engagement & Personalization Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 22: USA Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 23: USA 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 24: USA Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 25: USA 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 26: USA Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 27: USA 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • CANADA
    • TABLE 28: Canada Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 29: Canada 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 30: Canada Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Canada 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 32: Canada Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Canada 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 34: Japan Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Japan 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 36: Japan Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Japan 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 38: Japan Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Japan 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 40: China Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: China 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 42: China Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: China 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 44: China Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: China 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 46: Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 47: Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 48: Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 50: Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 52: Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 54: France Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: France 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 56: France Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: France 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 58: France Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: France 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 60: Germany Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Germany 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 62: Germany Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Germany 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 64: Germany Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Germany 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • ITALY
    • TABLE 66: Italy Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Italy 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 68: Italy Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Italy 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 70: Italy Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Italy 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 72: UK Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: UK 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 74: UK Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: UK 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 76: UK Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: UK 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 78: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Rest of Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 80: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Rest of Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 82: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Rest of Europe 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence for Healthcare Payers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 84: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Asia-Pacific 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 86: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Asia-Pacific 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 88: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Asia-Pacific 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 90: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of World 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 92: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Rest of World 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 94: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence for Healthcare Payers by Application - Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Rest of World 6-Year Perspective for Artificial Intelligence for Healthcare Payers by Application - Percentage Breakdown of Value Sales for Claims Processing Optimization Application, Fraud Detection & Prevention Application, Revenue Management & Billing Application, Member Engagement & Personalization Application and Other Applications for the Years 2025 & 2030

IV. COMPETITION

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