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市場調查報告書
商品編碼
1286063

全球醫療保健預測分析市場——展望與預測 (2023-2028)

Healthcare Predictive Analytics Market - Global Outlook & Forecast 2023-2028
出版日期: | 出版商: Arizton Advisory & Intelligence | 英文 | 訂單完成後即時交付

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簡介目錄

從 2022 年到 2028 年，全球醫療保健預測分析市場規模預計將以 22.23% 的複合年增長率增長。 降低醫療保健成本的需求增加導致對預測分析的需求增加，從而推動了市場的發展。 此外，豐富的患者數據的可用性正在推動醫療保健預測分析的利用，推動市場的增長。

本報告研究和分析全球醫療保健預測分析市場，提供市場規模和增長率、主要趨勢、競爭格局等。

內容

第一章研究方法論

第二章調查目的

第三章研究過程

第 4 章範圍

第 5 章報告前提條件和注意事項

第 6 章：關鍵考慮因素

第 7 章市場概述

第8章介紹

第9章市場機會和趨勢

  • 用於改善患者護理和健康結果的預測性 AI
  • 家庭健康預測分析
  • 預測分析在疾病控制中的新興應用

第 10 章市場增長因素

  • 預測分析在醫療保健領域的重要性與日俱增
  • 醫療保健領域的數字化轉型
  • 越來越需要使用預測分析來降低醫療保健成本
  • 提供豐富的患者數據以鼓勵使用預測分析

第11章市場約束

  • 醫療保健預測分析中的倫理和道德風險
  • 嚴肅的隱私考慮
  • 缺乏監管以及技術對護理的影響

第 12 章市場狀況

  • 市場概覽
  • 市場規模和預測
  • 市場機會
    • 市場：按地區
    • 市場：按交付方式
    • 市場：按應用
    • 市場：按最終用戶分類
  • 五力分析

第13章交付模式

  • 市場概況和增長引擎
  • 市場概覽
  • 本地
  • 基於雲

第14章使用

  • 市場概況和增長引擎
  • 市場概覽
  • 財務/管理
  • 臨床治療
  • 團體健康管理
  • 研究與開發 (R&D)

第 15 章最終用戶

  • 市場概況和增長引擎
  • 市場概覽
  • 保險公司
  • 醫學網站
  • 其他

第16章區域

  • 市場概況和增長引擎
  • 地理概覽

第十七章北美

  • 市場概覽
  • 市場規模和預測
    • 北美：按交付方式
    • 北美：按申請
    • 北美：按最終用戶分類
  • 主要國家
    • 美國：市場規模和預測
    • 加拿大：市場規模和預測

第 18 章歐洲

  • 市場概覽
  • 市場規模和預測
    • 歐洲：按送貨方式
    • 歐洲：按申請
    • 歐洲：按最終用戶分類
  • 主要國家
    • 德國：市場規模和預測
    • 英國：市場規模和預測
    • 法國：市場規模和預測
    • 意大利：市場規模和預測
    • 西班牙：市場規模和預測

第19章亞太地區

  • 市場概覽
  • 市場規模和預測
    • 亞太地區：按交付方式
    • 亞太地區：按應用分類
    • 亞太地區：按最終用戶分類
  • 主要國家
    • 中國：市場規模和預測
    • 日本：市場規模和預測
    • 印度：市場規模和預測
    • 韓國：市場規模和預測
    • 澳大利亞：市場規模和預測

第 20 章：拉丁美洲

  • 市場概覽
  • 市場規模和預測
    • 拉丁美洲：按交付方式
    • 拉丁美洲：按應用分類
    • 拉丁美洲：按最終用戶分類
  • 主要國家
    • 巴西：市場規模和預測
    • 墨西哥：市場規模和預測
    • 阿根廷：市場規模和預測

第 21 章中東和非洲

  • 市場概覽
  • 市場規模和預測
    • 中東和非洲：按交付方式
    • 中東和非洲：按申請
    • 中東和非洲：按最終用戶分類
  • 主要國家
    • Turkiye：市場規模和預測
    • 沙特阿拉伯：市場規模和預測
    • 南非：市場規模和預測

第22章競爭格局

  • 比賽總結
  • 市場份額分析
    • 健康催化劑
    • IBM
    • KONINKLIJKE PHILIPS
    • 微軟
    • 甲骨文
    • 聯合健康集團

第23章主要公司簡介

  • HEALTH CATALYST
  • IBM
  • KONINKLIJKE PHILIPS
  • MICROSOFT
  • ORACLE
  • UNITEDHEALTH GROUP

第 24 章其他知名供應商

  • ALLSCRIPTS HEALTHCARE
  • APIXIO
  • CGI
  • CHANGE HEALTHCARE
  • CONDUENT
  • COTIVITI
  • EPIC SYSTEMS
  • FLATIRON
  • FORIAN
  • FRAUDLENS
  • FRISS
  • HEALTHCARE FRAUD SHIELD
  • LEXISNEXIS RISK SOLUTIONS
  • MEDEANALYTICS
  • NET HEALTH
  • OSP
  • POTENTIAMETRICS
  • SAS INSTITUTE
  • VERISK ANALYTICS
  • WIPRO

第 25 章報告概述

  • 重要說明
  • 戰略建議

第 26 章定量概述

第27章附錄

簡介目錄

The global healthcare predictive analytics market is expected to grow at a CAGR of 22.23% from 2022-2028.

MARKET TRENDS & DRIVERS

Predictive AI Enhancing Patient Care and Health Outcomes

Predictive AI enhancing patient care and health outcomes is an emerging area of healthcare technology that uses artificial intelligence (AI) to help healthcare providers make informed decisions about a patient's care. Predictive AI can analyze vast amounts of data from multiple sources to provide insights about the patient's condition, treatment history, and other data points that can help health professionals predict health problems and develop targeted treatment plans. By integrating AI into patient care, healthcare providers can more accurately diagnose and treat conditions, improve patient outcomes, and reduce costs. In addition, predictive AI can identify potential risk factors for disease and provide early warning signs of health problems. In the healthcare predictive analytics market, AI can examine patient records to predict the likelihood of certain diseases and disorders. Recent studies have shown that AI can detect previously difficult conditions to identify and diagnose, such as rare genetic and neurodegenerative diseases.

Predictive Analytics in Home Health

Predictive analytics in home health uses data-driven models and algorithms to help predict and anticipate future health outcomes or risks. These analytical methods are typically used by clinicians, administrators, providers, and health plans to identify and reduce risks in the home health care setting. Through predictive analysis, healthcare providers can make better-informed decisions regarding patient care to improve the quality and outcomes of care. Predictive analytics can help determine which patients are likely to require higher levels of care or may need additional services; identify patients who may benefit from personalized treatments; assess the impact of various interventions on treatment outcomes; and improve communication between providers and patients. Predictive analytics can also assess mortality, readmission rates, and healthcare costs.

Increasing Importance of Predictive Analytics in Healthcare

The increasing importance of the healthcare predictive analytics market is projected to support the healthcare analytics industry. Predictive analytics helps healthcare practitioners identify potential health issues and take preventive action before it is too late, thus providing cost and time efficiency to healthcare providers. Data from medical sensors, clinical laboratories, pharmacy information systems, and other sources help healthcare providers deliver tailored and personalized patient care. Predictive analytics helps organizations to identify patterns and trends in large amounts of data and utilize the insights to improve operational efficiency, reduce costs and improve patient outcomes. Predictive analytics enables the healthcare provider to predict future health trends, identify at-risk patients, and formulate relevant intervention programs. The increasing use of healthcare analytics is leading to enhanced accuracy in diagnosis, improved patient outcomes, and reduced cost.

Growing Need to Reduce Healthcare Costs Predictive Analytics

Predictive analytics has become a valuable tool in healthcare as it helps to reduce healthcare costs by enabling improved decision-making, operational improvements, and targeted interventions. Predictive analytics helps healthcare organizations anticipate costs, identify trends, and reduce costs to focus on high-value patient care. Predictive analytics helps to forecast the future with better precision and accuracy, which provides a more robust basis for decisions and actions. Predictive analytics are also used to support decisions related to population health, such as allocating resources to patients, assessing the financial impact of different treatments, and predicting when changes should be made to maximize cost savings. The growing need to reduce healthcare costs is leading to an increased demand for predictive analytics and is driving the healthcare predictive analytics market.

Availability of Abundant Patient Data Encouraging Usage of Predictive Analytics

The availability of abundant patient data is encouraging the usage of predictive analytics in healthcare and boosts the growth of the healthcare predictive analytics market. Predictive analytics uses data mining, machine learning, and statistical techniques to identify patterns and trends that can help diagnose illnesses, identify risk factors, and predict health outcomes. This data can also identify high-risk patients, suggest interventions, and provide insights for improving patient care. By leveraging this data, healthcare professionals can make more informed decisions, leading to better outcomes and improved patient safety. Additionally, predictive analytics can help health organizations improve efficiency and decrease costs by reducing unnecessary testing and treatment. The availability of abundant patient data pushes healthcare organizations to adopt predictive analytics technology and use it to its fullest potential.

SEGMENTATION INSIGHTS

INSIGHTS BY DELIVERY MODE

The global healthcare predictive analytics market by delivery mode is segmented into on-premises and cloud-based. The on-premises segment accounted for a major market share and is anticipated to retain its dominance during the forecast period. The on-premises delivery model allows companies to verify customers and store data on their servers. No third party can access the customers' data, the service provider, or vendors. Several on-premises benefits also significantly contribute to why healthcare organizations are still hesitant to embrace the cloud. The biggest benefit to on-premises applications is that the IT department has full control over the data stored on them. For healthcare organizations, control over the data is significant because many entities do not trust cloud service providers to provide a fully Healthcare Portability and Accountability Act (HIPAA) compliant Protected Health Information (PHI) environment.

Segmentation by Delivery Mode

  • On-premises
  • Cloud-based

INSIGHTS BY APPLICATION

The finance & operations application segment dominated the global healthcare predictive analytics market, accounting for over 45% share in 2022. Healthcare insurance companies today enjoy an extensive database of customers belonging to different demographics. Applying data analytics to this large dataset can help agents identify patterns, clusters, and typical human behavior. With insurance models and schemes moving online, consumers expect transparency and an accurate breakdown of their health insurance spending. Thus, the insurers cannot add hidden costs to make additional profits. Competition among payers is stiff, and hence, attracting customers with lucrative benefits is how these business agencies function.

Segmentation by Application

  • Finance & Operations
  • Clinical Care
  • Population Health Management
  • R&D

INSIGHTS BY END-USER

The global healthcare predictive analytics market by end-user is segmented into payers, healthcare settings, and others. The payers' segment accounted for a major share in 2022. Payers in the health industry are organizations, such as healthcare plan providers, Medicare, and Medicaid, which establish service rates, collection of payments, process healthcare plans, and suppliers. Payers are investing in adopting technological advancements, mainly focusing on AI and machine learning. AI can simplify many paper-based processes at medical offices and insurance companies using natural language processing, which allows health professionals to enter information.

Segmentation by End-user

  • Payers
  • Healthcare Settings
  • Others

GEOGRAPHICAL ANALYSIS

North America emerged as the leading region in the global healthcare predictive analytics market, accounting for a share of over 40% in 2022. Factors such as the increasing elderly population, prevalence of chronic illnesses, increasing medication errors, adoption of healthcare IT solutions, rise in prescriptions and hospitalization rates, and growing awareness of technological developments contribute to the market growth. Advancements and increased use of digital health technologies with the growing number of emerging and leading players entering the healthcare predictive analytics field contribute to this region's market growth.

Segmentation by Geography

  • North America
    • The U.S.
    • Canada
  • Europe
    • Germany
    • The U.K.
    • France
    • Italy
    • Spain
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
    • Mexico
    • Argentina
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • South Africa

VENDOR LANDSCAPE

The global healthcare predictive analytics market is highly competitive, with global, regional, and local players recommending a broad range of conventional and latest-generation AI technologies for end-users. The key vendors in the market include Health Catalyst, IBM, Koninklijke Philips, Microsoft, Oracle, and UNITEDHEALTH GROUP, based on digital healthcare platforms, patient management, and clinical advancements. These companies have a wide geographic presence, diverse product portfolios, and a strong focus on product innovation, R&D, and business expansion activities.

Key Company Profiles

  • Health Catalyst
  • IBM
  • Koninklijke Philips
  • Microsoft
  • Oracle
  • UNITEDHEALTH GROUP

Other Prominent Vendors

  • Allscripts Healthcare
  • Apixio
  • CGI
  • Change Healthcare
  • Conduent
  • COTIVITI
  • Epic Systems
  • Flatiron
  • Forian
  • FraudLens
  • FRISS
  • Healthcare Fraud Shield
  • LexisNexis Risk Solutions
  • MedeAnalytics
  • Net Health
  • OSP
  • PotentiaMetrics
  • SAS Institute
  • Verisk Analytics
  • Wipro

KEY QUESTIONS ANSWERED:

  • 1. How big is the global healthcare predictive analytics market?
  • 2. What is the growth rate of the healthcare predictive analytics market?
  • 3. What are the growing trends in the healthcare predictive analytics industry?
  • 4. Which region holds the most significant global healthcare predictive analytics market share?
  • 5. Who are the key players in the global healthcare predictive analytics market?

TABLE OF CONTENTS

1 RESEARCH METHODOLOGY

2 RESEARCH OBJECTIVES

3 RESEARCH PROCESS

4 SCOPE & COVERAGE

  • 4.1 MARKET DEFINITION
    • 4.1.1 INCLUSIONS
    • 4.1.2 EXCLUSIONS
    • 4.1.3 MARKET ESTIMATION CAVEATS
  • 4.2 BASE YEAR
  • 4.3 SCOPE OF THE STUDY
    • 4.3.1 MARKET SEGMENTATION BY DELIVERY MODE
    • 4.3.2 MARKET SEGMENTATION BY APPLICATION
    • 4.3.3 MARKET SEGMENTATION BY END-USER
    • 4.3.4 MARKET SEGMENTATION BY GEOGRAPHY

5 REPORT ASSUMPTIONS & CAVEATS

  • 5.1 KEY CAVEATS
  • 5.2 CURRENCY CONVERSION
  • 5.3 MARKET DERIVATION

6 PREMIUM INSIGHTS

  • 6.1 OVERVIEW
    • 6.1.1 GEOGRAPHY INSIGHTS
    • 6.1.2 DELIVERY MODE SEGMENTATION INSIGHTS
    • 6.1.3 APPLICATION SEGMENTATION INSIGHTS
    • 6.1.4 END-USER SEGMENTATION INSIGHTS

7 MARKET AT A GLANCE

8 INTRODUCTION

  • 8.1 OVERVIEW

9 MARKET OPPORTUNITIES & TRENDS

  • 9.1 PREDICTIVE AI ENHANCING PATIENT CARE AND HEALTH OUTCOMES
  • 9.2 PREDICTIVE ANALYTICS IN HOME HEALTH
  • 9.3 EMERGING USE OF PREDICTIVE ANALYTICS IN DISEASE MANAGEMENT

10 MARKET GROWTH ENABLERS

  • 10.1 INCREASING IMPORTANCE OF PREDICTIVE ANALYTICS IN HEALTHCARE
  • 10.2 DIGITAL TRANSFORMATION IN HEALTHCARE
  • 10.3 GROWING NEED TO REDUCE HEALTHCARE COSTS USING PREDICTIVE ANALYTICS
  • 10.4 AVAILABILITY OF ABUNDANT PATIENTS DATA ENCOURAGING USE OF PREDICTIVE ANALYTICS

11 MARKET RESTRAINTS

  • 11.1 ETHICS AND MORAL HAZARDS IN HEALTHCARE PREDICTIVE ANALYTICS
  • 11.2 SERIOUS PRIVACY CONSIDERATIONS
  • 11.3 IMPACT OF TECHNOLOGY ON CARE AND LACK OF REGULATIONS

12 MARKET LANDSCAPE

  • 12.1 MARKET OVERVIEW
  • 12.2 MARKET SIZE & FORECAST
  • 12.3 MARKET OPPORTUNITIES
    • 12.3.1 MARKET BY GEOGRAPHY
    • 12.3.2 MARKET BY DELIVERY MODE
    • 12.3.3 MARKET BY APPLICATION
    • 12.3.4 MARKET BY END-USER
  • 12.4 FIVE FORCES ANALYSIS
    • 12.4.1 THREAT OF NEW ENTRANTS
    • 12.4.2 BARGAINING POWER OF SUPPLIERS
    • 12.4.3 BARGAINING POWER OF BUYERS
    • 12.4.4 THREAT OF SUBSTITUTES
    • 12.4.5 COMPETITIVE RIVALRY

13 DELIVERY MODE

  • 13.1 MARKET SNAPSHOT & GROWTH ENGINE
  • 13.2 MARKET OVERVIEW
  • 13.3 ON-PREMISES
    • 13.3.1 MARKET OVERVIEW
    • 13.3.2 MARKET SIZE & FORECAST
    • 13.3.3 ON-PREMISE BY GEOGRAPHY
  • 13.4 CLOUD-BASED
    • 13.4.1 MARKET OVERVIEW
    • 13.4.2 MARKET SIZE & FORECAST
    • 13.4.3 CLOUD-BASED BY GEOGRAPHY

14 APPLICATION

  • 14.1 MARKET SNAPSHOT & GROWTH ENGINE
  • 14.2 MARKET OVERVIEW
  • 14.3 FINANCE & OPERATIONS
    • 14.3.1 MARKET OVERVIEW
    • 14.3.2 MARKET SIZE & FORECAST
    • 14.3.3 FINANCE & OPERATIONS BY GEOGRAPHY
  • 14.4 CLINICAL CARE
    • 14.4.1 MARKET OVERVIEW
    • 14.4.2 MARKET SIZE & FORECAST
    • 14.4.3 CLINICAL CARE BY GEOGRAPHY
  • 14.5 POPULATION HEALTH MANAGEMENT
    • 14.5.1 MARKET OVERVIEW
    • 14.5.2 MARKET SIZE & FORECAST
    • 14.5.3 POPULATION HEALTH MANAGEMENT BY GEOGRAPHY
  • 14.6 RESEARCH & DEVELOPMENT (R&D)
    • 14.6.1 MARKET OVERVIEW
    • 14.6.2 MARKET SIZE & FORECAST
    • 14.6.3 R&D BY GEOGRAPHY

15 END-USERS

  • 15.1 MARKET SNAPSHOT & GROWTH ENGINE
  • 15.2 MARKET OVERVIEW
  • 15.3 PAYERS
    • 15.3.1 MARKET OVERVIEW
    • 15.3.2 MARKET SIZE & FORECAST
    • 15.3.3 PAYERS BY GEOGRAPHY
  • 15.4 HEALTHCARE SETTINGS
    • 15.4.1 MARKET OVERVIEW
    • 15.4.2 MARKET SIZE & FORECAST
    • 15.4.3 HEALTHCARE SETTINGS BY GEOGRAPHY
  • 15.5 OTHERS
    • 15.5.1 MARKET OVERVIEW
    • 15.5.2 MARKET SIZE & FORECAST
    • 15.5.3 OTHERS BY GEOGRAPHY

16 GEOGRAPHY

  • 16.1 MARKET SNAPSHOT & GROWTH ENGINE
  • 16.2 GEOGRAPHIC OVERVIEW

17 NORTH AMERICA

  • 17.1 MARKET OVERVIEW
  • 17.2 MARKET SIZE & FORECAST
    • 17.2.1 NORTH AMERICA BY DELIVERY MODE
    • 17.2.2 NORTH AMERICA BY APPLICATION
    • 17.2.3 NORTH AMERICA BY END-USER
  • 17.3 KEY COUNTRIES
    • 17.3.1 US: MARKET SIZE & FORECAST
    • 17.3.2 CANADA: MARKET SIZE & FORECAST

18 EUROPE

  • 18.1 MARKET OVERVIEW
  • 18.2 MARKET SIZE & FORECAST
    • 18.2.1 EUROPE BY DELIVERY MODE
    • 18.2.2 EUROPE BY APPLICATION
    • 18.2.3 EUROPE BY END-USER
  • 18.3 KEY COUNTRIES
    • 18.3.1 GERMANY: MARKET SIZE & FORECAST
    • 18.3.2 UK: MARKET SIZE & FORECAST
    • 18.3.3 FRANCE: MARKET SIZE & FORECAST
    • 18.3.4 ITALY: MARKET SIZE & FORECAST
    • 18.3.5 SPAIN: MARKET SIZE & FORECAST

19 APAC

  • 19.1 MARKET OVERVIEW
  • 19.2 MARKET SIZE & FORECAST
    • 19.2.1 APAC BY DELIVERY MODE
    • 19.2.2 APAC BY APPLICATION
    • 19.2.3 APAC BY END-USER
  • 19.3 KEY COUNTRIES
    • 19.3.1 CHINA: MARKET SIZE & FORECAST
    • 19.3.2 JAPAN: MARKET SIZE & FORECAST
    • 19.3.3 INDIA: MARKET SIZE & FORECAST
    • 19.3.4 SOUTH KOREA: MARKET SIZE & FORECAST
    • 19.3.5 AUSTRALIA: MARKET SIZE & FORECAST

20 LATIN AMERICA

  • 20.1 MARKET OVERVIEW
  • 20.2 MARKET SIZE & FORECAST
    • 20.2.1 LATIN AMERICA BY DELIVERY MODE
    • 20.2.2 LATIN AMERICA BY APPLICATION
    • 20.2.3 LATIN AMERICA BY END-USER
  • 20.3 KEY COUNTRIES
    • 20.3.1 BRAZIL: MARKET SIZE & FORECAST
    • 20.3.2 MEXICO: MARKET SIZE & FORECAST
    • 20.3.3 ARGENTINA: MARKET SIZE & FORECAST

21 MIDDLE EAST & AFRICA

  • 21.1 MARKET OVERVIEW
  • 21.2 MARKET SIZE & FORECAST
    • 21.2.1 MIDDLE EAST & AFRICA BY DELIVERY MODE
    • 21.2.2 MIDDLE EAST & AFRICA BY APPLICATION
    • 21.2.3 MIDDLE EAST & AFRICA BY END-USER
  • 21.3 KEY COUNTRIES
    • 21.3.1 TURKEY: MARKET SIZE & FORECAST
    • 21.3.2 SAUDI ARABIA: MARKET SIZE & FORECAST
    • 21.3.3 SOUTH AFRICA: MARKET SIZE & FORECAST

22 COMPETITIVE LANDSCAPE

  • 22.1 COMPETITION OVERVIEW
  • 22.2 MARKET SHARE ANALYSIS
    • 22.2.1 HEALTH CATALYST
    • 22.2.2 IBM
    • 22.2.3 KONINKLIJKE PHILIPS
    • 22.2.4 MICROSOFT
    • 22.2.5 ORACLE
    • 22.2.6 UNITEDHEALTH GROUP

23 KEY COMPANY PROFILES

  • 23.1 HEALTH CATALYST
    • 23.1.1 BUSINESS OVERVIEW
    • 23.1.2 PRODUCT OFFERINGS
    • 23.1.3 KEY STRATEGIES
    • 23.1.4 KEY STRENGTHS
    • 23.1.5 KEY OPPORTUNITIES
  • 23.2 IBM
    • 23.2.1 BUSINESS OVERVIEW
    • 23.2.2 PRODUCT OFFERINGS
    • 23.2.3 KEY STRATEGIES
    • 23.2.4 KEY STRENGTHS
    • 23.2.5 KEY OPPORTUNITIES
  • 23.3 KONINKLIJKE PHILIPS
    • 23.3.1 BUSINESS OVERVIEW
    • 23.3.2 PRODUCT OFFERINGS
    • 23.3.3 KEY STRATEGIES
    • 23.3.4 KEY STRENGTHS
    • 23.3.5 KEY OPPORTUNITIES
  • 23.4 MICROSOFT
    • 23.4.1 BUSINESS OVERVIEW
    • 23.4.2 PRODUCT OFFERINGS
    • 23.4.3 KEY STRATEGIES
    • 23.4.4 KEY STRENGTHS
    • 23.4.5 KEY OPPORTUNITIES
  • 23.5 ORACLE
    • 23.5.1 BUSINESS OVERVIEW
    • 23.5.2 PRODUCT OFFERINGS
    • 23.5.3 KEY STRATEGIES
    • 23.5.4 KEY STRENGTHS
    • 23.5.5 KEY OPPORTUNITIES
  • 23.6 UNITEDHEALTH GROUP
    • 23.6.1 BUSINESS OVERVIEW
    • 23.6.2 PRODUCT OFFERINGS
    • 23.6.3 KEY STRATEGIES
    • 23.6.4 KEY STRENGTHS
    • 23.6.5 KEY OPPORTUNITIES

24 OTHER PROMINENT VENDORS

  • 24.1 ALLSCRIPTS HEALTHCARE
    • 24.1.1 BUSINESS OVERVIEW
    • 24.1.2 PRODUCT OFFERINGS
  • 24.2 APIXIO
    • 24.2.1 BUSINESS OVERVIEW
    • 24.2.2 PRODUCT OFFERINGS
  • 24.3 CGI
    • 24.3.1 BUSINESS OVERVIEW
    • 24.3.2 PRODUCT OFFERINGS
  • 24.4 CHANGE HEALTHCARE
    • 24.4.1 BUSINESS OVERVIEW
    • 24.4.2 PRODUCT OFFERINGS
  • 24.5 CONDUENT
    • 24.5.1 BUSINESS OVERVIEW
    • 24.5.2 PRODUCT OFFERINGS
  • 24.6 COTIVITI
    • 24.6.1 BUSINESS OVERVIEW
    • 24.6.2 PRODUCT OFFERINGS
  • 24.7 EPIC SYSTEMS
    • 24.7.1 BUSINESS OVERVIEW
    • 24.7.2 PRODUCT OFFERINGS
  • 24.8 FLATIRON
    • 24.8.1 BUSINESS OVERVIEW
    • 24.8.2 PRODUCT OFFERINGS
  • 24.9 FORIAN
    • 24.9.1 BUSINESS OVERVIEW
    • 24.9.2 PRODUCT OFFERINGS
  • 24.10 FRAUDLENS
    • 24.10.1 BUSINESS OVERVIEW
    • 24.10.2 PRODUCT OFFERINGS
  • 24.11 FRISS
    • 24.11.1 BUSINESS OVERVIEW
    • 24.11.2 PRODUCT OFFERINGS
  • 24.12 HEALTHCARE FRAUD SHIELD
    • 24.12.1 BUSINESS OVERVIEW
    • 24.12.2 PRODUCT OFFERINGS
  • 24.13 LEXISNEXIS RISK SOLUTIONS
    • 24.13.1 BUSINESS OVERVIEW
    • 24.13.2 PRODUCT OFFERINGS
  • 24.14 MEDEANALYTICS
    • 24.14.1 BUSINESS OVERVIEW
    • 24.14.2 PRODUCT OFFERINGS
  • 24.15 NET HEALTH
    • 24.15.1 BUSINESS OVERVIEW
    • 24.15.2 PRODUCT OFFERINGS
  • 24.16 OSP
    • 24.16.1 BUSINESS OVERVIEW
    • 24.16.2 PRODUCT OFFERINGS
  • 24.17 POTENTIAMETRICS
    • 24.17.1 BUSINESS OVERVIEW
    • 24.17.2 PRODUCT OFFERINGS
  • 24.18 SAS INSTITUTE
    • 24.18.1 BUSINESS OVERVIEW
    • 24.18.2 PRODUCT OFFERINGS
  • 24.19 VERISK ANALYTICS
    • 24.19.1 BUSINESS OVERVIEW
    • 24.19.2 PRODUCT OFFERINGS
  • 24.20 WIPRO
    • 24.20.1 BUSINESS OVERVIEW
    • 24.20.2 PRODUCT OFFERINGS

25 REPORT SUMMARY

  • 25.1 KEY TAKEAWAYS
  • 25.2 STRATEGIC RECOMMENDATIONS

26 QUANTITATIVE SUMMARY

  • 26.1 MARKET BY DELIVERY MODE
    • 26.1.1 NORTH AMERICA BY DELIVERY MODE
    • 26.1.2 EUROPE BY DELIVERY MODE
    • 26.1.3 APAC BY DELIVERY MODE
    • 26.1.4 LATIN AMERICA BY DELIVERY MODE
    • 26.1.5 MIDDLE EAST & AFRICA BY DELIVERY MODE
  • 26.2 MARKET BY APPLICATION
    • 26.2.1 NORTH AMERICA BY APPLICATION
    • 26.2.2 EUROPE BY APPLICATION
    • 26.2.3 APAC BY APPLICATION
    • 26.2.4 LATIN AMERICA BY APPLICATION
    • 26.2.5 MIDDLE EAST & AFRICA BY APPLICATION
  • 26.3 MARKET BY END-USER
    • 26.3.1 NORTH AMERICA BY END-USER
    • 26.3.2 EUROPE BY END-USER
    • 26.3.3 APAC BY END-USER
    • 26.3.4 LATIN AMERICA BY END-USER
    • 26.3.5 MIDDLE EAST & AFRICA BY END-USER SEGMENTATION
  • 26.4 MARKET BY GEOGRAPHY
    • 26.4.1 ON-PREMISES BY GEOGRAPHY
    • 26.4.2 CLOUD-BASED BY GEOGRAPHY
    • 26.4.3 FINANCE & OPERATIONS BY GEOGRAPHY
    • 26.4.4 CLINICAL CARE BY GEOGRAPHY
    • 26.4.5 POPULATION HEALTH MANAGEMENT BY GEOGRAPHY
    • 26.4.6 R&D BY GEOGRAPHY
    • 26.4.7 PAYERS BY GEOGRAPHY
    • 26.4.8 HEALTHCARE SETTINGS BY GEOGRAPHY
    • 26.4.9 OTHERS BY GEOGRAPHY

27 APPENDIX

  • 27.1 ABBREVIATIONS