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AI For Healthcare Payer Market Size, Share & Trends Analysis Report by Component (Software, Services), Deployment, Application, Region, and Segment Forecasts, 2024-2030

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    Report

  • 125 Pages
  • June 2024
  • Region: Global
  • Grand View Research
  • ID: 5982983
Description Jump to:
The global AI for healthcare payer market size is expected to reach USD 3.58 billion by 2030 and is projected to grow at a CAGR of 9.40% from 2024 to 2030. In the rapidly evolving landscape of healthcare, Artificial Intelligence (AI) is emerging as a transformative force within the healthcare payer market. As insurers and other healthcare payers strive to enhance operational efficiency, reduce costs, and improve patient outcomes, AI's role is becoming increasingly pivotal.

The healthcare industry faces complex challenges such as rising costs, increasing patient expectations, and the demand for higher-quality care. Healthcare payers, situated at the intersection of patients, providers, and stakeholders, manage finances and ensure access to essential services. These entities are leveraging advanced technologies like generative AI to enhance operational efficiency, improve decision-making, and deliver superior value.

Handling healthcare claims often creates significant bottlenecks for payers, with delays, errors, and inefficiencies prevalent. According to a Quantiphi article published in April 2024, the American Medical Association (AMA) reports that the average claim error rate among health insurers is 19.3%, resulting in approximately USD 17 billion in avoidable administrative costs annually. These inefficiencies burden the healthcare system and cause frustration for patients and physicians due to delays and additional administrative work. Technologies such as generative AI offer a solution by analyzing historical data to identify patterns, streamlining the claims process, reducing errors, and enhancing operational efficiency. This technology enables healthcare payers to increase productivity and better meet stakeholders' needs, ultimately improving outcomes for all involved.

The increasing demand for higher auto-adjudication rates, coupled with the need to reduce administrative costs and improve operational efficiency, is driving the adoption of AI solutions among healthcare payers. According to a survey conducted by HealthEdge Software, Inc. in January 2024, 69% of payers experience over 20% of their claims not being auto-adjudicated. This shortfall results in a high volume of claims, necessitating manual processing and secondary editing solutions. By leveraging machine learning and natural language processing, AI can accurately process claims, reduce the need for manual intervention, and minimize errors. This lowers administrative costs and accelerates the claims processing cycle, improving overall efficiency and customer satisfaction.

Companies providing AI-powered claims management and policy editing solutions are well-positioned to capitalize on this demand, offering significant value to payers through enhanced automation and cost savings. Consequently, addressing these inefficiencies and high costs is a critical driver for the growth and adoption of AI technologies in the healthcare payer market.

AI For Healthcare Payer Market Report Highlights

  • Based on component, the software segment held the largest market share of over 58.0% in 2023. This segment is expected to grow at the fastest CAGR during the forecast period, driven by the increasing demand for automation in claims processing, fraud detection, and personalized member engagement. These advancements enhance operational efficiency, reduce costs, and improve decision-making.
  • Based on deployment, the cloud segment held the largest revenue share in 2023 and is expected to grow at the fastest CAGR over the forecast period. This can be attributed to the growing adoption of cloud-based technologies within the healthcare industry.
  • Based on application, the claims processing optimization segment held the largest revenue share in 2023. This can be attributed to the increasing complexity of claim processing and the demand for efficiency and improved accuracy in healthcare payer operations.
  • In 2023, North America dominated the global AI for healthcare payer industry with the largest revenue share. This growth can be attributed to rising healthcare expenditures, adoption of advanced technologies, and modernization of healthcare infrastructure. The Asia Pacific region is expected to grow at the fastest CAGR over the forecast period.

Why should you buy this report?

  • Comprehensive Market Analysis: Gain detailed insights into the global market across major regions and segments.
  • Competitive Landscape: Explore the market presence of key players worldwide.
  • Future Trends: Discover the pivotal trends and drivers shaping the future of the global market.
  • Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.

This report addresses:

  • Market intelligence to enable effective decision-making
  • Market estimates and forecasts from 2018 to 2030
  • Growth opportunities and trend analyses
  • Segment and regional revenue forecasts for market assessment
  • Competition strategy and market share analysis
  • Product innovation listing for you to stay ahead of the curve
  • COVID-19's impact and how to sustain in these fast-evolving markets


This product will be delivered within 1-3 business days.

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Research Methodology
1.3. Information Procurement
1.3.1. Purchased database
1.3.2. GVR’s internal database
1.3.3. Secondary sources
1.3.4. Primary research
1.3.5. Details of primary research
1.3.5.1. Data for primary interviews in North America
1.3.5.2. Data for primary interviews in Europe
1.3.5.3. Data for primary interviews in Asia Pacific
1.3.5.4. Data for primary interviews in Latin America
1.3.5.5. Data for Primary interviews in MEA
1.4. Information or Data Analysis
1.4.1. Data analysis models
1.5. Market Formulation & Data Validation
1.6. Model Details
1.6.1. Commodity flow analysis (Model 1)
1.6.2. Approach 1: Commodity flow approach
1.6.3. Volume price analysis (Model 2)
1.6.4. Approach 2: Volume price analysis
1.7. List of Secondary Sources
1.8. List of Primary Sources
1.9. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.2.1. Component outlook
2.2.2. Deployment outlook
2.2.3. Application outlook
2.2.4. Regional outlook
2.3. Competitive Insights
Chapter 3. AI for Healthcare Payer Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.1.1. Increasing focus on enhanced patient care
3.2.1.2. Increasing healthcare claim cost
3.2.1.3. Technological advancements
3.2.2. Market restraint analysis
3.2.2.1. Regulatory Compliance Challenges
3.2.2.2. Data Quality and Standardization Issues
3.3. AI for Healthcare Payer Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
3.3.2.4. Social landscape
3.3.2.5. Legal landscape
Chapter 4. AI for Healthcare Payer Market: Offering Estimates & Trend Analysis
4.1. Definitions and Scope
4.2. Segment Dashboard
4.3. AI for Healthcare Payer Market Movement Analysis
4.4. AI for Healthcare Payer Market Size & Trend Analysis, by Component, 2018 to 2030 (USD Million)
4.4.1. Software
4.4.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
4.4.2. Services
4.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 5. AI for Healthcare Payer Market: Deployment Estimates & Trend Analysis
5.1. Definitions and Scope
5.2. Segment Dashboard
5.3. AI for Healthcare Payer Market Movement Analysis
5.4. AI for Healthcare Payer Market Size & Trend Analyses, by Deployment, 2018 to 2030 (USD Million)
5.4.1. Cloud
5.4.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
5.4.2. On-Premise
5.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 6. AI for Healthcare Payer Market: Application Estimates & Trend Analysis
6.1. Definitions and Scope
6.2. Segment Dashboard
6.3. AI for Healthcare Payer Market Movement Analysis
6.4. AI for Healthcare Payer Market Size & Trend Analyses, by End-User, 2018 to 2030 (USD Million)
6.4.1. Claims Processing Optimization
6.4.1.1. Market estimates and forecast 2018 to 2030 (USD Million)
6.4.2. Fraud Detection and Prevention
6.4.2.1. Market estimates and forecast 2018 to 2030 (USD Million)
6.4.3. Revenue Management and Billing
6.4.3.1. Market estimates and forecast 2018 to 2030 (USD Million)
6.4.4. Member Engagement and Personalization
6.4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
6.4.5. Others
6.4.5.1. Market estimates and forecast 2018 to 2030 (USD Million
Chapter 7. AI for Healthcare Payer Market: Regional Estimates & Trend Analysis by Component, Deployment, & Application
7.1. Regional Market Dashboard
7.2. Global Regional Market Snapshot
7.3. Market Size, & Forecasts Trend Analysis, 2018 to 2030
7.4. North America
7.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
7.4.2. U.S.
7.4.2.1. U.S. country dynamics
7.4.2.2. U.S. market estimates and forecast, 2018-2030 (USD Million)
7.4.3. Canada
7.4.3.1. Canada country dynamics
7.4.3.2. Canada market estimates and forecast, 2018-2030 (USD Million)
7.4.4. Mexico
7.4.4.1. Mexico
7.4.4.2. Mexico market estimates and forecast, 2018-2030 (USD Million)
7.5. Europe
7.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
7.5.2. UK
7.5.2.1. UK country dynamics
7.5.2.2. UK market estimates and forecast, 2018-2030 (USD Million)
7.5.3. Germany
7.5.3.1. Germany country dynamics
7.5.3.2. Germany market estimates and forecast, 2018-2030 (USD Million)
7.5.4. France
7.5.4.1. France country dynamics
7.5.4.2. France market estimates and forecast, 2018-2030 (USD Million)
7.5.5. Italy
7.5.5.1. Italy country dynamics
7.5.5.2. Italy market estimates and forecast, 2018-2030 (USD Million)
7.5.6. Spain
7.5.6.1. Spain country dynamics
7.5.6.2. Spain market estimates and forecast, 2018-2030 (USD Million)
7.5.7. Norway
7.5.7.1. Norway country dynamics
7.5.7.2. Norway market estimates and forecast, 2018-2030 (USD Million)
7.5.8. Sweden
7.5.8.1. Sweden
7.5.8.2. Sweden market estimates and forecast, 2018-2030 (USD Million)
7.5.9. Denmark
7.5.9.1. Denmark
7.5.9.2. Denmark market estimates and forecast, 2018-2030 (USD Million)
7.6. Asia Pacific
7.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)
7.6.2. Japan
7.6.2.1. Japan country dynamics
7.6.2.2. Japan market estimates and forecast, 2018-2030 (USD Million)
7.6.3. China
7.6.3.1. China country dynamics
7.6.3.2. China market estimates and forecast, 2018-2030 (USD Million)
7.6.4. India
7.6.4.1. India country dynamics
7.6.4.2. India market estimates and forecast, 2018-2030 (USD Million)
7.6.5. Australia
7.6.5.1. Australia country dynamics
7.6.5.2. Australia market estimates and forecast, 2018-2030 (USD Million)
7.6.6. South Korea
7.6.6.1. South Korea
7.6.6.2. South Korea market estimates and forecast, 2018-2030 (USD Million)
7.6.7. Thailand
7.6.7.1. Thailand
7.6.7.2. Thailand market estimates and forecast, 2018-2030 (USD Million)
7.7. Latin America
7.7.1. Market estimates and forecasts 2018 to 2030 (USD Million)
7.7.2. Brazil
7.7.2.1. Brazil
7.7.2.2. Brazil market estimates and forecast, 2018-2030 (USD Million)
7.7.3. Argentina
7.7.3.1. Argentina country dynamics
7.7.3.2. Argentina market estimates and forecast, 2018-2030 (USD Million)
7.8. MEA
7.8.1. Market estimates and forecasts 2018 to 2030 (USD Million)
7.8.2. South Africa
7.8.2.1. South Africa country dynamics
7.8.2.2. South Africa market estimates and forecast, 2018-2030 (USD Million)
7.8.3. Saudi Arabia
7.8.3.1. Saudi Arabia country dynamics
7.8.3.2. Saudi Arabia market estimates and forecast, 2018-2030 (USD Million)
7.8.4. UAE
7.8.4.1. UAE country dynamics
7.8.4.2. UAE market estimates and forecast, 2018-2030 (USD Million)
7.8.5. Kuwait
7.8.5.1. Kuwait country dynamics
7.8.5.2. Kuwait market estimates and forecast, 2018-2030 (USD Million)
Chapter 8. Competitive Landscape
8.1. Recent Developments & Impact Analysis, By Key Market Participants
8.2. Company/Competition Categorization
8.2.1. Innovators
8.3. Vendor Landscape
8.3.1. List of key distributors and channel partners
8.3.2. Key customers
8.3.3. Key company market share analysis, 2023
8.3.4. Company Profiles
8.3.4.1. Nuance Communications (Microsoft)
8.3.4.1.1. Company overview
8.3.4.1.2. Financial performance
8.3.4.1.3. Product benchmarking
8.3.4.1.4. Strategic initiatives
8.3.4.2. AiRo Digital Labs
8.3.4.2.1. Company overview
8.3.4.2.2. Financial performance
8.3.4.2.3. Product benchmarking
8.3.4.2.4. Strategic initiatives
8.3.4.3. Accenture
8.3.4.3.1. Company overview
8.3.4.3.2. Financial performance
8.3.4.3.3. Product benchmarking
8.3.4.3.4. Strategic initiatives
8.3.4.4. Cognizant
8.3.4.4.1. Company overview
8.3.4.4.2. Financial performance
8.3.4.4.3. Product benchmarking
8.3.4.4.4. Strategic initiatives
8.3.4.5. Codoxo
8.3.4.5.1. Company overview
8.3.4.5.2. Financial performance
8.3.4.5.3. Product benchmarking
8.3.4.5.4. Strategic initiatives
8.3.4.6. CareCloud, Inc.
8.3.4.6.1. Company overview
8.3.4.6.2. Financial performance
8.3.4.6.3. Product benchmarking
8.3.4.6.4. Strategic initiatives
8.3.4.7. Hexaware Technologies Limited
8.3.4.7.1. Company overview
8.3.4.7.2. Financial performance
8.3.4.7.3. Product benchmarking
8.3.4.7.4. Strategic initiatives
8.3.4.8. Oracle
8.3.4.8.1. Company overview
8.3.4.8.2. Financial performance
8.3.4.8.3. Product benchmarking
8.3.4.8.4. Strategic initiatives
8.3.4.9. MST Solutions, L.L.C.
8.3.4.9.1. Company overview
8.3.4.9.2. Financial performance
8.3.4.9.3. Product benchmarking
8.3.4.9.4. Strategic initiatives
8.3.4.10. Innovaccer, Inc.
8.3.4.10.1. Company overview
8.3.4.10.2. Financial performance
8.3.4.10.3. Product benchmarking
8.3.4.10.4. Strategic initiatives
8.3.4.11. Amelia US LLC
8.3.4.11.1. Company overview
8.3.4.11.2. Financial performance
8.3.4.11.3. Product benchmarking
8.3.4.11.4. Strategic initiatives
8.3.4.12. R1 RCM Inc
8.3.4.12.1. Company overview
8.3.4.12.2. Financial performance
8.3.4.12.3. Product benchmarking
8.3.4.12.4. Strategic initiatives
8.3.4.13. Optum
8.3.4.13.1. Company overview
8.3.4.13.2. Financial performance
8.3.4.13.3. Product benchmarking
8.3.4.13.4. Strategic initiatives
8.3.4.14. Quantiphi
8.3.4.14.1. Company overview
8.3.4.14.2. Financial performance
8.3.4.14.3. Product benchmarking
8.3.4.14.4. Strategic initiatives
8.3.4.15. Softheon
8.3.4.15.1. Company overview
8.3.4.15.2. Financial performance
8.3.4.15.3. Product benchmarking
8.3.4.15.4. Strategic initiatives
List of Tables
Table 1 List of Abbreviations
Table 2 North America AI for Healthcare Payer Market, By Region, 2018-2030 (USD Million)
Table 3 North America AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 4 North America AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 5 North America AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 6 U.S. AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 7 U.S. AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 8 U.S. AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 9 Canada AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 10 Canada AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 11 Canada AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 12 Europe AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 13 Europe AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 14 Europe AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 15 UK AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 16 UK AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 17 UK AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 18 Germany AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 19 Germany AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 20 Germany AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 21 France AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 22 France AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 23 France AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 24 Italy AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 25 Italy AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 26 Italy AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 27 Spain AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 28 Spain AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 29 Spain AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 30 Sweden AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 31 Sweden AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 32 Sweden AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 33 Denmark AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 34 Denmark AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 35 Denmark AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 36 Norway AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 37 Norway AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 38 Norway AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 39 Asia Pacific AI for Healthcare Payer Market, By Region, 2018-2030 (USD Million)
Table 40 Asia Pacific AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 41 Asia Pacific AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 42 Asia Pacific AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 43 Japan AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 44 Japan AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 45 Japan AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 46 China AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 47 China AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 48 China AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 49 India AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 50 India AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 51 India AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 52 Australia AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 53 Australia AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 54 Australia AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 55 Thailand AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 56 Thailand AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 57 Thailand AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 58 South Korea AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 59 South Korea AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 60 South Korea AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 61 Latin America AI for Healthcare Payer Market, By Region, 2018-2030 (USD Million)
Table 62 Latin America AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 63 Latin America AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 64 Latin America AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 65 Brazil AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 66 Brazil AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 67 Brazil AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 68 Mexico AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 69 Mexico AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 70 Mexico AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 71 Argentina AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 72 Argentina AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 73 Argentina AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 74 MEA AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 75 MEA AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 76 MEA AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 77 Saudi Arabia AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 78 Saudi Arabia AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 79 Saudi Arabia AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 80 South Africa AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 81 South Africa AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 82 South Africa AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 83 UAE AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 84 UAE AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 85 UAE AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
Table 86 Kuwait AI for Healthcare Payer Market, By Component 2018-2030 (USD Million)
Table 87 Kuwait AI for Healthcare Payer Market, By Deployment 2018-2030 (USD Million)
Table 88 Kuwait AI for Healthcare Payer Market, By Application 2018-2030 (USD Million)
List of Figures
Figure 1 Market research process
Figure 2 Data triangulation techniques
Figure 3 Primary research pattern
Figure 4 Market research approaches
Figure 5 Value-chain-based sizing & forecasting
Figure 6 QFD modeling for market share assessment
Figure 7 Market formulation & validation
Figure 8 AI for Healthcare payer: market outlook
Figure 9 AI for Healthcare payer competitive insights
Figure 10 Parent market outlook
Figure 11 Related/ancillary market outlook
Figure 12 Penetration and growth prospect mapping
Figure 13 Industry value chain analysis
Figure 14 AI for healthcare payer market driver impact
Figure 15 AI for healthcare payer market restraint impact
Figure 16 AI for healthcare payer market strategic initiatives analysis
Figure 17 AI for healthcare payer market: Component movement analysis
Figure 18 AI for healthcare payer market: Component outlook and key takeaways
Figure 19 Software market estimates and forecasts, 2018-2030
Figure 20 Services market estimates and forecasts, 2018-2030
Figure 21 AI for healthcare payer market: Deployment mode movement analysis
Figure 22 AI for healthcare payer market: Deployment mode outlook and key takeaways
Figure 23 Cloud market estimates and forecasts, 2018-2030
Figure 24 On-premise market estimates and forecasts, 2018-2030
Figure 25 AI for healthcare payer market: Application movement analysis
Figure 26 AI for healthcare payer market: Application outlook and key takeaways
Figure 27 Claims processing optimization market estimates and forecasts, 2018-2030
Figure 28 Fraud detection and prevention market estimates and forecasts, 2018-2030
Figure 29 Revenue management and billing market estimates and forecasts, 2018-2030
Figure 30 Member engagement and personalization market estimates and forecasts, 2018-2030
Figure 31 Others market estimates and forecasts, 2018-2030
Figure 32 Global AI for healthcare payer market: Regional movement analysis
Figure 33 Global AI for healthcare payer market: Regional outlook and key takeaways
Figure 34 North America market estimates and forecasts, 2018-2030
Figure 35 U.S. market estimates and forecasts, 2018-2030
Figure 36 Canada market estimates and forecasts, 2018-2030
Figure 37 Mexico market estimates and forecasts, 2018-2030
Figure 38 Europe market estimates and forecasts, 2018-2030
Figure 39 U.K. market estimates and forecasts, 2018-2030
Figure 40 Germany market estimates and forecasts, 2018-2030
Figure 41 France market estimates and forecasts, 2018-2030
Figure 42 Italy market estimates and forecasts, 2018-2030
Figure 43 Spain market estimates and forecasts, 2018-2030
Figure 44 Denmark market estimates and forecasts, 2018-2030
Figure 45 Sweden market estimates and forecasts, 2018-2030
Figure 46 Norway market estimates and forecasts, 2018-2030
Figure 47 Asia Pacific market estimates and forecasts, 2018-2030
Figure 48 Japan market estimates and forecasts, 2018-2030
Figure 49 China market estimates and forecasts, 2018-2030
Figure 50 India market estimates and forecasts, 2018-2030
Figure 51 Australia market estimates and forecasts, 2018-2030
Figure 52 Thailand market estimates and forecasts, 2018-2030
Figure 53 South Korea market estimates and forecasts, 2018-2030
Figure 54 Latin America market estimates and forecasts, 2018-2030
Figure 55 Brazil market estimates and forecasts, 2018-2030
Figure 56 Argentina market estimates and forecasts, 2018-2030
Figure 57 Middle East and Africa market estimates and forecasts, 2018-2030
Figure 58 South Africa market estimates and forecasts, 2018-2030
Figure 59 Saudi Arabia market estimates and forecasts, 2018-2030
Figure 60 UAE market estimates and forecasts, 2018-2030
Figure 61 Kuwait market estimates and forecasts, 2018-2030

Companies Mentioned

  • Nuance Communications (Microsoft)
  • AiRo Digital Labs
  • Accenture
  • Cognizant
  • Codoxo
  • CareCloud, Inc.
  • Hexaware Technologies Limited
  • Oracle
  • MST Solutions, L.L.C.
  • Innovaccer, Inc.
  • Amelia US LLC
  • R1 RCM Inc
  • Optum
  • Quantiphi
  • Softheon

Methodology

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Table Information

Report AttributeDetails
No. of Pages125
PublishedJune 2024
Forecast Period2023 - 2030
Estimated Market Value ( USD ) in 2023 $ 1.95 Billion
Forecasted Market Value ( USD ) by 2030 $ 3.58 Billion
Compound Annual Growth Rate9.4%
Regions CoveredGlobal
No. of Companies Mentioned15

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Healthcare CRM Market Size, Share & Trends Analysis Report by Functionality, Deployment Mode (On-premise Model, Cloud/Web-based Model), End-use, AI-Powered Healthcare CRM, Region, and Segment Forecasts, 2024-2030 - Product Image

Healthcare CRM Market Size, Share & Trends Analysis Report by Functionality, Deployment Mode (On-premise Model, Cloud/Web-based Model), End-use, AI-Powered Healthcare CRM, Region, and Segment Forecasts, 2024-2030

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Healthcare Payer Services - Global Strategic Business Report - Product Image

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From
Healthcare Payer Services Market Report by Type, Application, End Use, and Region 2024-2032 - Product Image

Healthcare Payer Services Market Report by Type, Application, End Use, and Region 2024-2032

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About the AI For Healthcare Payer Market

In the healthcare services sector, the AI for Healthcare Payer market encompasses the application of artificial intelligence technologies by health insurance companies, also known as payers, to improve operational efficiencies, reduce costs, and enhance customer experience. Payers utilize AI to scrutinize healthcare claims for fraud detection, manage customer inquiries through chatbots and virtual assistants, and personalize healthcare plans using predictive analytics. Moreover, AI aids in clinical decision support, helping payers assess the value of treatments and streamline authorization processes to ensure timely care delivery. Data management, crucial for handling the vast inflows of personal health information, also benefits from AI's capacity for secure and intelligent processing, thus ensuring compliance with regulations. Notable companies in the AI for Healthcare Payer market include Optum, a subsidiary of UnitedHealth Group, which provides analytics and data-driven services. IBM Watson Health offers AI solutions that empower health plan enterprises. Change Healthcare is known for its suite of AI-driven tools designed to improve operational efficiency for healthcare payers. Cognizant's healthcare solutions leverage AI to optimize payer processes, while Infosys provides AI services designed to enhance the payer-provider partnership and improve patient engagement strategies. These companies represent a fraction of the innovative entities contributing to the transformation of healthcare through artificial intelligence. Show Less Read more

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