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市場調査レポート
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1286063

ヘルスケア予測分析の世界市場 - 見通しと予測（2023年～2028年）

Healthcare Predictive Analytics Market - Global Outlook & Forecast 2023-2028
出版日: | 発行: Arizton Advisory & Intelligence | ページ情報: 英文 | 納期: 即納可能 即納可能とは

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ヘルスケア予測分析の世界市場 - 見通しと予測（2023年～2028年）
出版日: 2023年06月06日
発行: Arizton Advisory & Intelligence
ページ情報: 英文
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のヘルスケア予測分析の市場規模は、2022年～2028年にCAGRで22.23%の成長が予測されています。医療費の削減に対するニーズの高まりが予測分析の需要の増加につながり、市場を牽引しています。また、豊富な患者データの利用可能性が、ヘルスケア予測分析の利用を促し、市場の成長を促進しています。

当レポートでは、世界のヘルスケア予測分析市場について調査分析し、市場規模と成長率、主要動向、競合情勢などを提供しています。

目次

第1章 調査手法

第2章 調査の目的

第3章 調査プロセス

第4章 範囲

第5章 レポートの前提条件と注意事項

第6章 主要考察

第7章 市場の概要

第8章 イントロダクション

第9章 市場機会と動向

  • 患者ケアと健康成果を強化する予測AI
  • ホームヘルスにおける予測分析
  • 疾病管理における予測分析の新たな利用

第10章 市場成長要因

  • 医療における予測分析の重要性の増大
  • 医療におけるデジタルトランスフォーメーション
  • 予測分析を使用して医療費を削減するニーズの高まり
  • 予測分析の使用を促す豊富な患者データの利用可能性

第11章 市場抑制要因

  • ヘルスケア予測分析における倫理とモラルハザード
  • 深刻なプライバシーの考慮事項
  • 規制の欠如とケアに対する技術の影響

第12章 市場情勢

  • 市場の概要
  • 市場規模と予測
  • 市場機会
    • 市場：地域別
    • 市場：デリバリーモード別
    • 市場：用途別
    • 市場：エンドユーザー別
  • ファイブフォース分析

第13章 デリバリーモード

  • 市場のスナップショットと成長エンジン
  • 市場の概要
  • オンプレミス
  • クラウドベース

第14章 用途

  • 市場のスナップショットと成長エンジン
  • 市場の概要
  • 財務・経営
  • 臨床治療
  • 集団健康管理
  • 研究開発（R&D）

第15章 エンドユーザー

  • 市場のスナップショットと成長エンジン
  • 市場の概要
  • 保険者
  • 医療現場
  • その他

第16章 地域

  • 市場のスナップショットと成長エンジン
  • 地理的概要

第17章 北米

  • 市場の概要
  • 市場規模と予測
    • 北米：デリバリーモード別
    • 北米：用途別
    • 北米：エンドユーザー別
  • 主要国
    • 米国：市場規模と予測
    • カナダ：市場規模と予測

第18章 欧州

  • 市場の概要
  • 市場規模と予測
    • 欧州：デリバリーモード別
    • 欧州：用途別
    • 欧州：エンドユーザー別
  • 主要国
    • ドイツ：市場規模と予測
    • 英国：市場規模と予測
    • フランス：市場規模と予測
    • イタリア：市場規模と予測
    • スペイン：市場規模と予測

第19章 アジア太平洋

  • 市場の概要
  • 市場規模と予測
    • アジア太平洋：デリバリーモード別
    • アジア太平洋：用途別
    • アジア太平洋：エンドユーザー別
  • 主要国
    • 中国：市場規模と予測
    • 日本：市場規模と予測
    • インド：市場規模と予測
    • 韓国：市場規模と予測
    • オーストラリア：市場規模と予測

第20章 ラテンアメリカ

  • 市場の概要
  • 市場規模と予測
    • ラテンアメリカ：デリバリーモード別
    • ラテンアメリカ：用途別
    • ラテンアメリカ：エンドユーザー別
  • 主要国
    • ブラジル：市場規模と予測
    • メキシコ：市場規模と予測
    • アルゼンチン：市場規模と予測

第21章 中東・アフリカ

  • 市場の概要
  • 市場規模と予測
    • 中東・アフリカ：デリバリーモード別
    • 中東・アフリカ：用途別
    • 中東・アフリカ：エンドユーザー別
  • 主要国
    • トルコ：市場規模と予測
    • サウジアラビア：市場規模と予測
    • 南アフリカ：市場規模と予測

第22章 競合情勢

  • 競合の概要
  • 市場シェア分析
    • HEALTH CATALYST
    • IBM
    • KONINKLIJKE PHILIPS
    • MICROSOFT
    • ORACLE
    • UNITEDHEALTH GROUP

第23章 主要企業プロファイル

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

第24章 その他の著名なベンダー

  • 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 レポートの概要

  • 重要事項
  • 戦略的な推奨事項

第26章 定量的概要

第27章 付録

目次

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