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市場調查報告書
商品編碼
1751257

美國醫療保健付款人分析市場規模、佔有率、趨勢分析報告（按分析類型、組件、交付模式、應用、細分預測，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個工作天內

價格

美國醫療保健支付者分析市場的成長和趨勢：

根據 Grand View Research, Inc. 的新報告，美國醫療保健支付者分析市場預計到 2030 年將達到 193.8 億美元，2025 年至 2030 年的複合年成長率為 21.5%。

醫療保健領域的數位化進步和記錄數位化是推動該市場成長的關鍵因素之一。此類技術的採用正在不斷增加，推動著市場的發展。數位資料正被用於獲取有意義的結果、降低成本並最大限度地減少欺詐性保險索賠。

美國政府致力於增加醫療保健支出並改善數位基礎設施，這推動了該領域的技術進步。科技進步借助分析工具，使付款人和醫療服務提供者的決策更加便捷。 2020年，醫療保健支出的整體成長將超過4兆美元。這不僅促進了醫療保健產業更快發展，也使醫療保健更加經濟實惠且更加精準。

醫療保健分析工具可協助管理人員和決策者確定最佳行動方案、成功的可能性以及透過削減不必要開支可以節省多少資金。對保險公司而言，分析工具可協助他們識別保險詐騙的模式，從而每年節省數十億美元。對於醫生而言，分析工具可幫助他們透過研究和分析患者的病歷來確定特定患者的最佳治療方案。

按分析類型分類，說明分析在2022年佔據了最大的市場佔有率，達到358%。在新冠疫情期間，各種研究機構和實驗室廣泛使用說明分析，透過研究過去和目前進行的冠狀病毒檢測來確定病毒的傳染性。說明分析透過分析資料得出有意義的結果，這些結果可能對未來的決策產生重大影響。成長最快的細分市場是預測性分析，它有助於制定個人化治療方案的最佳治療方案，幫助醫生找到最有效的治療方法，從而獲得更好的治療效果。

從市場區隔來看，服務業在2022年佔據了主導地位。由於大多數機構沒有分析部門，因此通常將分析工作委託給行業專家，從而節省了培訓和指導員工使用工具和方法的成本。成長最快的部分是硬體，醫療IT領域的快速投資推動了對更高性能電腦和硬體組件的需求。

目前，本地儲存佔據最大的市場佔有率。醫療保健機構正在選擇部署分析工具和軟體。本地儲存的資料被盜風險較低，並且更容易存取和維護資料和患者記錄。然而，雲端基礎儲存因其儲存便利、設定簡單等特點，正日益受到歡迎，而這正是市場成長的主要驅動力。

從應用領域來看，金融目前佔據最大的市場佔有率。私營和政府機構擴大將分析技術應用於金融應用。醫療保健分析用於理賠付款、風險分析和識別保險索賠中的詐欺行為。成長最快的應用也是金融，它被用來識別每年對支付方造成數十億美元損失的保險相關詐欺行為。這些因素對醫療保健支付方分析市場的成長做出了重大貢獻。

新冠疫情為醫療分析市場創造了巨大的機會。疫情期間產生的大量患者數據極大地促進了對疾病傳播方式、傳染性及其影響的研究。儘管供應鏈中斷嚴重衝擊了全球經濟，導致醫療分析市場萎縮，但分析的使用和採用總體上有所成長。麥肯錫的數據顯示，遠端保健（與病患和醫師溝通的方式）的普及率比疫情前高出38倍。

美國醫療保健支付者分析市場報告重點：

  • 說明分析部分將在 2024 年佔據最大的市場佔有率。這種分析類型廣泛用於流程最佳化和控制活動。
  • 到 2024 年，內部部署部分將佔據 47.0% 的市場佔有率。醫療保健產業的技術正在不斷發展。
  • 根據應用，金融應用領域在 2024 年佔據最大的收益佔有率。
  • 以組成部分分類，服務業佔比最大，到 2024 年將達到 42.4%。

目錄

第1章調查方法與範圍

第2章執行摘要

第3章市場變數、趨勢和範圍

  • 市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
    • 市場威脅分析
  • 商業環境分析
    • 波特五力分析
    • PESTLE分析
    • COVID-19的影響

第4章。美國醫療保健支付者分析市場：按分析類型進行的估計和趨勢分析

  • 按分析類型細分儀表板
  • 2024 年及 2030 年按分析類型分類的市場佔有率變化分析
  • 說明分析
  • 預測分析
  • 規範分析
  • 診斷分析
  • 發現分析

第5章美國醫療保健支付者分析市場：各組成部分的估計和趨勢分析

  • 細分儀表板
  • 2024 年及 2030 年各組件市場佔有率變化分析
  • 2018 年至 2030 年各組成部分的市場規模、預測與趨勢分析
  • 軟體
  • 硬體
  • 服務

第6章美國醫療保健支付者分析市場：按交付模式進行的估算和趨勢分析

  • 按提供的模型細分儀表板
  • 2024 年及 2030 年各車型市場佔有率變化分析
  • 2018 年至 2030 年各機型市場規模、預測及趨勢分析
  • 本地
  • 雲端基礎
  • 雲端基礎

第7章：美國醫療保健支付者分析市場：按應用進行的估算和趨勢分析

  • 應用程式細分儀表板
  • 2024 年及 2030 年按應用分類的市場佔有率變化分析
  • 市場規模、預測與趨勢分析（按應用，2018-2030 年）
  • 臨床
  • 金融
  • 營運與管理

第8章 競爭態勢

  • 參與者概覽
  • 企業市場分析
  • 公司分類
  • 戰略地圖
  • 公司簡介/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