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封面
市场调查报告书
商品编码
1751257

美国医疗保健付款人分析市场规模、份额、趋势分析报告（按分析类型、组件、交付模式、应用、细分预测，2025 年至 2030 年）

U.S. Healthcare Payer Analytics Market Size, Share & Trends Analysis Report By Analytics Type (Descriptive Analytics), By Component (Software), By Delivery Model, By Application, And Segment Forecasts, 2025 - 2030
出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10个工作天内

价格

美国医疗保健支付者分析市场的成长和趋势：

根据 Grand View Research, Inc. 的新报告，美国医疗保健支付者分析市场预计到 2030 年将达到 193.8 亿美元，2025 年至 2030 年的复合年增长率为 21.5%。

医疗保健领域的数位化进步和记录数位化是推动该市场成长的关键因素之一。此类技术的采用正在不断增加，推动着市场的发展。数位资料正被用于获取有意义的结果、降低成本并最大限度地减少欺诈性保险索赔。

美国政府致力于增加医疗保健支出并改善数位基础设施，这推动了该领域的技术进步。科技进步借助分析工具，使付款人和医疗服务提供者的决策更加便捷。 2020年，医疗保健支出的整体成长将超过4兆美元。这不仅促进了医疗保健产业更快发展，也使医疗保健更加经济实惠且更加精准。

医疗保健分析工具可协助管理人员和决策者确定最佳行动方案、成功的可能性以及透过削减不必要开支可以节省多少资金。对保险公司而言，分析工具可协助他们识别保险诈骗的模式，从而每年节省数十亿美元。对于医生而言，分析工具可帮助他们透过研究和分析患者的病历来确定特定患者的最佳治疗方案。

按分析类型划分，说明分析在2022年占据了最大的市场占有率，达到358%。在新冠疫情期间，各种研究机构和实验室广泛使用说明分析，透过研究过去和目前进行的冠状病毒检测来确定病毒的传染性。说明分析透过分析资料得出有意义的结果，这些结果可能对未来的决策产生重大影响。成长最快的细分市场是预测性分析，它有助于制定个人化治疗方案的最佳治疗方案，帮助医生找到最有效的治疗方法，从而获得更好的治疗效果。

从市场区隔来看，服务业在2022年占据了主导地位。由于大多数机构没有分析部门，因此通常将分析工作委託给行业专家，从而节省了培训和指导员工使用工具和方法的成本。成长最快的部分是硬件，医疗IT领域的快速投资推动了对更高性能电脑和硬体组件的需求。

目前，本地储存占据最大的市场占有率。医疗保健机构正在选择部署分析工具和软体。本地储存的资料被盗风险较低，并且更容易存取和维护资料和患者记录。然而，云端基础储存因其储存便利、设定简单等特点，正日益受到欢迎，而这正是市场成长的主要驱动力。

从应用领域来看，金融目前占据最大的市场占有率。私营和政府机构越来越多地将分析技术应用于金融应用。医疗保健分析用于理赔付款、风险分析和识别保险索赔中的诈欺行为。成长最快的应用也是金融，它被用来识别每年对支付方造成数十亿美元损失的保险相关诈欺行为。这些因素对医疗保健支付方分析市场的成长做出了重大贡献。

新冠疫情为医疗分析市场创造了巨大的机会。疫情期间产生的大量患者数据极大地促进了对疾病传播方式、传染性及其影响的研究。儘管供应链中断严重衝击了全球经济，导致医疗分析市场萎缩，但分析的使用和采用总体上有所增长。麦肯锡的数据显示，远端保健（与病患和医师沟通的方式）的普及率比疫情前高出38倍。

美国医疗保健支付者分析市场报告重点：

  • 说明分析部分将在 2024 年占据最大的市场占有率。这种分析类型广泛用于流程最佳化和控制活动。
  • 到 2024 年，内部部署部分将占据 47.0% 的市场占有率。医疗保健产业的技术正在不断发展。
  • 根据应用，金融应用领域在 2024 年占据最大的收益占有率。
  • 以组成部分划分，服务业占比最大，到 2024 年将达到 42.4%。

目录

第一章调查方法与范围

第二章执行摘要

第三章市场变数、趋势和范围

  • 市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
    • 市场威胁分析
  • 商业环境分析
    • 波特五力分析
    • PESTLE分析
    • COVID-19的影响

第四章。美国医疗保健支付者分析市场：按分析类型进行的估计和趋势分析

  • 按分析类型细分仪表板
  • 2024 年及 2030 年按分析类型分類的市场占有率变化分析
  • 说明分析
  • 预测分析
  • 规范分析
  • 诊断分析
  • 发现分析

第五章美国医疗保健支付者分析市场：各组成部分的估计和趋势分析

  • 细分仪表板
  • 2024 年及 2030 年各组件市场占有率变化分析
  • 2018 年至 2030 年各组成部分的市场规模、预测与趋势分析
  • 软体
  • 硬体
  • 服务

第六章美国医疗保健支付者分析市场：按交付模式进行的估算和趋势分析

  • 按提供的模型细分仪表板
  • 2024 年及 2030 年各车型市场占有率变化分析
  • 2018 年至 2030 年各机型市场规模、预测及趋势分析
  • 本地
  • 云端基础
  • 云端基础

第七章：美国医疗保健支付者分析市场：按应用进行的估算和趋势分析

  • 应用程式细分仪表板
  • 2024 年及 2030 年按应用分類的市场占有率变化分析
  • 市场规模、预测与趋势分析（按应用，2018-2030 年）
  • 临床
  • 金融
  • 营运与管理

第八章 竞争态势

  • 参与者概览
  • 企业市场分析
  • 公司分类
  • 战略地图
  • 公司简介/上市公司
    • CloudMedx
    • DataSmart Solutions
    • Amitech Solutions
    • Caserta Concepts
    • Greenway Health, LLC
    • IMAT Solutions
    • Health Catalyst
    • Indegene
    • IBM
    • Optum
    • Oracle
    • Citius Tech
    • MedeAnalytics
    • Verisk Analytics, Inc.
    • McKesson Medical-Surgical Inc.
    • Veradigm LLC
    • IQVIA
Product Code: GVR-4-68039-193-5

U.S. Healthcare Payer Analytics Market Growth & Trends:

The U.S. healthcare payer analytics market size is expected to reach USD 19.38 billion by 2030, registering a CAGR of 21.5% from 2025 to 2030, according to a new report by Grand View Research, Inc. The digital advancements in the healthcare field, and the digitization of records, are one of the key factors driving the growth of this market. Adoption of such technologies is on an upward trend thus propelling the market. Digital data is being used to derive meaningful results, cost reduction, and minimize fraudulent insurance claims.

The U.S. government has been increasingly spending on healthcare and focusing on improving digital infrastructure, which is boosting technological advancements in the field. Due to technological advancements, decision-making for payers and healthcare providers has become easier with the help of analytical tools. The overall increase in healthcare expenditure has amounted to more than USD 4 trillion in the year 2020. It is not only helping the healthcare industry develop faster but has also made healthcare more affordable and precise.

The healthcare analytical tools are helping administrators and policymakers in determining what is the best course of action, how successful is it going to be, and how much cost can be saved by cutting unnecessary expenditures. For insurance companies, analytical tools have helped in recognizing patterns of insurance fraud and in turn saving billions of dollars per year. Doctors' analytical tools have helped to determine the best treatment plans for a particular patient by studying and analyzing their history.

In the analytics type, the descriptive analysis held the largest market share of 358% in 2022. Descriptive analytics has been widely used during COVID by various research organizations as well as laboratories, to determine how contagious the virus is by studying the past and present tests being conducted for coronavirus. Descriptive analytics analyzes data to derive meaningful results and can significantly impact future decisions. The fastest-growing was the predictive analytics segment, this helps in charting the best treatment plan for a personalized treatment plan, it can help the doctor to find out what works best for a patient and can give better treatment outcomes.

In the components, the service segment dominated the market in 2022. Since the majority of establishments do not have an analytics department, it is generally outsourced to industry experts which saves the cost of training and teaching the staff about tools and methods. The fastest-growing component was the hardware, with rapid investment in healthcare IT, the need for better computers and hardware components has been responsible for the growth of the market.

Currently, the largest market share is held by the on-premises delivery model. Healthcare organizations have been opting for the installment of analytical tools and software. The on-premises installation results in less theft of data and provide easier access and maintenance of data and patient records. However, cloud-based storage has been gaining popularity due to ease of storage, and minimum requirement of setup, which has been a key driving factor for the growth of the market.

In the applications segment, the largest market share is currently held by financial applications. Private and government facilities have been increasingly adopting analytics for financial applications. Healthcare analytics is being used for claim settlement, risk analysis, and identifying frauds in insurance claims. The fastest-growing application is also financial applications, for use in identifying frauds related to insurance which cost the payers billions of dollars per year. These factors have contributed significantly to the growth of the healthcare payer analytics market.

The COVID-19 pandemic created a huge opportunity for the healthcare analytics market. The amount of patient data generated during the pandemic has greatly helped in studying how the disease spreads, how contagious it is, and what implications it can have on people. Economies around the world have suffered gravely due to supply chain disruptions saw a decline in the market, but the usage and rate of adoption of analytics have increased overall. Telehealth, a means to communicate with patients and doctors saw 38 times increase in adoption from pre-COVID times, as per McKinsey.

U.S. Healthcare Payer Analytics Market Report Highlights:

  • The descriptive analytics segment had the largest market share in 2024. This analytics type is widely used in process optimization and administrative activities.
  • The on-premises segment dominated the market with a share of 47.0% in 2024. The healthcare industry is evolving in terms of technology.
  • Based on application, the financial application segment dominated the market with the largest revenue share in 2024.
  • Based on the components, the services segment had the largest market share of 42.4% in 2024.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Segment Definitions
    • 1.2.1. Analytics Type
    • 1.2.2. Component
    • 1.2.3. Delivery Model
    • 1.2.4. Application
  • 1.3. Estimates and Forecast Timeline
  • 1.4. Research Methodology
  • 1.5. Information Procurement
    • 1.5.1. Purchased Database
    • 1.5.2. GVR's Internal Database
    • 1.5.3. Secondary Sources
    • 1.5.4. Primary Research
  • 1.6. Information Analysis
    • 1.6.1. Data Analysis Models
  • 1.7. Market Formulation & Data Visualization
  • 1.8. Model Details
    • 1.8.1. Commodity Flow Analysis
  • 1.9. List of Secondary Sources
  • 1.10. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segment Snapshot
  • 2.3. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
      • 3.2.1.1. Growing usage of AI/ML-Driven in payer analytics solutions
      • 3.2.1.2. Declining payer profit margins of insurance companies
      • 3.2.1.3. Increasing need for risk management and predictive insights:
    • 3.2.2. Market Restraint Analysis
      • 3.2.2.1. Data privacy and Security Concerns
      • 3.2.2.2. Shortage of qualified professionals
      • 3.2.2.3. Complex regulatory environment
    • 3.2.3. Market Opportunity Analysis
      • 3.2.3.1. Expansion into predictive and prescriptive analytics:
    • 3.2.4. Market Threat Analysis
  • 3.3. Business Environment Analysis
    • 3.3.1. Porter's Five Forces Analysis
      • 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. PESTLE Analysis
    • 3.3.3. Impact of COVID 19

Chapter 4. U.S. Healthcare Payer Analytics Market: Analytics Type Estimates & Trend Analysis

  • 4.1. Segment Dashboard
    • 4.1.1. U.S. Healthcare Payer Analytics Market: Type Movement Analysis, 2024 & 2030 (USD Million)
  • 4.2. Descriptive Analytics
    • 4.2.1. Descriptive Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.3. Predictive Analytics
    • 4.3.1. Predictive Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Prescriptive Analytics
    • 4.4.1. Prescriptive Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Diagnostic Analytics
    • 4.5.1. Diagnostic Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.6. Discovery Analytics
    • 4.6.1. Discovery Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. U.S. Healthcare Payer Analytics Market: Component Estimates & Trend Analysis

  • 5.1. Component Segment Dashboard
  • 5.2. Component Market Share Movement Analysis, 2024 & 2030
  • 5.3. Market Size & Forecasts and Trend Analysis, by Component, 2018 to 2030 (USD Million)
  • 5.4. Software
    • 5.4.1. Software market, 2018 - 2030 (USD Million)
  • 5.5. Hardware
    • 5.5.1. Hardware market 2018 - 2030 (USD Million)
  • 5.6. Services
    • 5.6.1. Services market, 2018 - 2030 (USD Million)

Chapter 6. U.S. Healthcare Payer Analytics Market: Delivery Model Estimates & Trend Analysis

  • 6.1. Delivery Model Segment Dashboard
  • 6.2. Delivery Model Market Share Movement Analysis, 2024 & 2030
  • 6.3. Market Size & Forecasts and Trend Analysis, by Delivery Model, 2018 to 2030 (USD Million)
  • 6.4. On-premises
  • 6.5. Web & cloud-based market, 2018 - 2030 (USD Million)
  • 6.6. Web & cloud-based
    • 6.6.1. Web & cloud-based market, 2018 - 2030 (USD Million)
  • 6.7. Cloud-Based
    • 6.7.1. Cloud-Based market, 2018 - 2030 (USD Million)

Chapter 7. U.S. Healthcare Payer Analytics Market: Application Estimates & Trend Analysis

  • 7.1. Application Segment Dashboard
  • 7.2. Application Market Share Movement Analysis, 2024 & 2030
  • 7.3. Market Size & Forecasts and Trend Analysis, by Application, 2018 to 2030 (USD Million)
  • 7.4. Clinical
    • 7.4.1. Clinical I market, 2018 - 2030 (USD Million)
  • 7.5. Financial
    • 7.5.1. Financial market, 2018 - 2030 (USD Million)
  • 7.6. Operational and Administrative
    • 7.6.1. Operational and Administrative market, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Participant Overview
  • 8.2. Company Market Position Analysis
  • 8.3. Company Categorization
  • 8.4. Strategy Mapping
  • 8.5. Company Profiles/Listing
    • 8.5.1. CloudMedx
      • 8.5.1.1. Overview
      • 8.5.1.2. Financial performance
      • 8.5.1.3. Product benchmarking
      • 8.5.1.4. Strategic initiatives
    • 8.5.2. DataSmart Solutions
      • 8.5.2.1. Overview
      • 8.5.2.2. Financial performance
      • 8.5.2.3. Product benchmarking
      • 8.5.2.4. Strategic initiatives
    • 8.5.3. Amitech Solutions
      • 8.5.3.1. Overview
      • 8.5.3.2. Financial performance
      • 8.5.3.3. Product benchmarking
      • 8.5.3.4. Strategic initiatives
    • 8.5.4. Caserta Concepts
      • 8.5.4.1. Overview
      • 8.5.4.2. Financial performance
      • 8.5.4.3. Product benchmarking
      • 8.5.4.4. Strategic initiatives
    • 8.5.5. Greenway Health, LLC
      • 8.5.5.1. Overview
      • 8.5.5.2. Financial performance
      • 8.5.5.3. Product benchmarking
      • 8.5.5.4. Strategic initiatives
    • 8.5.6. IMAT Solutions
      • 8.5.6.1. Overview
      • 8.5.6.2. Financial performance
      • 8.5.6.3. Product benchmarking
      • 8.5.6.4. Strategic initiatives
    • 8.5.7. Health Catalyst
      • 8.5.7.1. Overview
      • 8.5.7.2. Financial performance
      • 8.5.7.3. Product benchmarking
      • 8.5.7.4. Strategic initiatives
    • 8.5.8. Indegene
      • 8.5.8.1. Overview
      • 8.5.8.2. Financial performance
      • 8.5.8.3. Product benchmarking
      • 8.5.8.4. Strategic initiatives
    • 8.5.9. IBM
      • 8.5.9.1. Overview
      • 8.5.9.2. Financial performance
      • 8.5.9.3. Product benchmarking
      • 8.5.9.4. Strategic initiatives
    • 8.5.10. Optum
      • 8.5.10.1. Overview
      • 8.5.10.2. Financial performance
      • 8.5.10.3. Product benchmarking
      • 8.5.10.4. Strategic initiatives
    • 8.5.11. Oracle
      • 8.5.11.1. Overview
      • 8.5.11.2. Financial performance
      • 8.5.11.3. Product benchmarking
      • 8.5.11.4. Strategic initiatives
    • 8.5.12. Citius Tech
      • 8.5.12.1. Overview
      • 8.5.12.2. Financial performance
      • 8.5.12.3. Product benchmarking
      • 8.5.12.4. Strategic initiatives
    • 8.5.13. MedeAnalytics
      • 8.5.13.1. Overview
      • 8.5.13.2. Financial performance
      • 8.5.13.3. Product benchmarking
      • 8.5.13.4. Strategic initiatives
    • 8.5.14. Verisk Analytics, Inc.
      • 8.5.14.1. Overview
      • 8.5.14.2. Financial performance
      • 8.5.14.3. Product benchmarking
      • 8.5.14.4. Strategic initiatives
    • 8.5.15. McKesson Medical-Surgical Inc.
      • 8.5.15.1. Overview
      • 8.5.15.2. Financial performance
      • 8.5.15.3. Product benchmarking
      • 8.5.15.4. Strategic initiatives
    • 8.5.16. Veradigm LLC
      • 8.5.16.1. Overview
      • 8.5.16.2. Financial performance
      • 8.5.16.3. Product benchmarking
      • 8.5.16.4. Strategic initiatives
    • 8.5.17. IQVIA
      • 8.5.17.1. Overview
      • 8.5.17.2. Financial performance
      • 8.5.17.3. Product benchmarking
      • 8.5.17.4. Strategic initiatives

List of Tables

  • Table 1. List of secondary sources
  • Table 2. List of abbreviations
  • Table 3. U.S. Healthcare payer analytics market, Type, 2018 - 2030 (USD Million)
  • Table 4. U.S. Healthcare payer analytics market, by Analytics Types, 2018 - 2030 (USD Million)
  • Table 5. U.S. Healthcare payer analytics market, by Component, 2018 - 2030 (USD Million)
  • Table 6. U.S. Healthcare payer analytics market, by Delivery Model, 2018 - 2030 (USD Million)
  • Table 7. U.S. Healthcare payer analytics market, by Application, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Information procurement
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value chain-based sizing & forecasting
  • Fig. 6 Market formulation & validation
  • Fig. 7 Market segmentation
  • Fig. 8 Market snapshot
  • Fig. 9 Segment snapshot
  • Fig. 10 Competitive landscape snapshot
  • Fig. 11 Market trends & outlook
  • Fig. 12 Market driver relevance analysis (current & future impact)
  • Fig. 13 Market restraint relevance analysis (current & future impact)
  • Fig. 14 PESTLE analysis
  • Fig. 15 Porter's five forces analysis
  • Fig. 16 U.S.U.S. healthcare payer analytics market analytics type outlook: Key Takeaways
  • Fig. 17 U.S.U.S. healthcare payer analytics market: Analytics type movement analysis, 2018 & 2030
  • Fig. 18 Descriptive analytics market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 19 Predictive analytics market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 20 Prescriptive analytics market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 21 Diagnostic Analytics market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 22 Discovery Analytics market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 23 U.S.U.S. Healthcare payer analytics Market component outlook: Key takeaways
  • Fig. 24 U.S.U.S. Healthcare payer analytics market: Component movement analysis, 2018 & 2030
  • Fig. 25 Software market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 26 Hardware market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 27 Services market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 28 U.S.U.S. healthcare payer analytics market delivery model outlook: Key takeaways
  • Fig. 29 U.S.U.S. healthcare payer analytics market: Delivery model movement analysis, 2018 & 2030 (USD Million)
  • Fig. 30 On-Premises market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 31 Web-based market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 32 Cloud-based market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 33 U.S.U.S. healthcare payer analytics market application outlook: Key takeaways
  • Fig. 34 U.S.U.S. healthcare payer analytics market: Application movement analysis, 2018 & 2030 (USD Million)
  • Fig. 35 Clinical market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 36 Financial market estimates and forecasts 2018 - 2030 (USD Million)
  • Fig. 37 Operational and Administrative market estimates and forecasts 2018 - 2030 (USD
  • Fig. 38 Market Participant Categorization
  • Fig. 39 Strategy mapping
  • Fig. 40 Company market position analysis