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市場調査レポート

ヘルスケア向け不正検出・防止の世界市場予測:2020-2028年

Global Healthcare Fraud Analytics and Detection Market Forecast 2020-2028

発行 Inkwood Research 商品コード 943450
出版日 ページ情報 英文 166 Pages
納期: 2-3営業日
価格
本日の銀行送金レート: 1USD=108.31円で換算しております。
ヘルスケア向け不正検出・防止の世界市場予測:2020-2028年 Global Healthcare Fraud Analytics and Detection Market Forecast 2020-2028
出版日: 2020年06月21日 ページ情報: 英文 166 Pages
概要

世界のヘルスケア向け不正検出・防止市場は、2020~2028年の予測期間中、21.09%のCAGRを記録すると見込まれています。市場の成長を促進する要因は、 ヘルスケアにおける捏造事例の増加、健康保険を選択する患者数の増加、およびヘルスケア支出の増加です。 米国など、多くの国は、医療保険詐欺の問題に直面しています。インドのような新興諸国の場合、医療保険の請求中に不正事例の件数が増加しています。このような状況に対処するために、ヘルスケア業界は保険のデータを維持しながら、不正の検出プロセスを容易にすることができる技術を採用しています。ソフトウェアおよびクラウド型ソリューションへの依存の高まりは、市場の成長に有益であると考えられています。技術に対処する際の非効率性、および企業が新しい分析技術の採用に消極的であることは、市場の成長を妨げる要因となっています。

当レポートでは、ヘルスケア向け不正検出・防止の世界市場について調査し、市場の概要、市場成長への主な影響要因の分析、各セグメント・地域別の分析と予測、および主要企業のプロファイルなどを提供しています。

第1章 調査範囲と調査手法

  • 調査目的
  • 調査範囲
  • 調査手法
  • 前提と制限

第2章 エグゼクティブサマリー

  • 市場規模・推計
  • 市場概要

第3章 市場力学

  • 市場定義
  • 主な促進要因
    • ヘルスケア支出の上昇
    • 健康保険を希望する患者数の急増
    • ヘルスケアにおける捏造事例の増加
  • 主な抑制要因
    • ヘルスケア向け不正分析を採用することへの抵抗

第4章 主な分析

  • 主な投資の考察
  • ポーターのファイブフォース分析
  • 市場機会マトリックス
  • ベンダー情勢

第5章 市場:タイプ別

  • 記述的アナリティクス
  • 予測的アナリティクス
  • 処方的アナリティクス

第6章 市場:アプリケーション別

  • 保険金請求調査
  • 支払い健全性/ペイメントインテグリティ

第7章 市場:エンドユーザー別

  • 民間保険会社
  • 政府機関
  • その他のエンドユーザー

第8章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • ロシア
    • ベルギー
    • ポーランド
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • 韓国
    • インドネシア
    • タイ
    • ベトナム
    • オーストラリア・ニュージーランド
    • その他アジア太平洋地域
  • その他の地域
    • ラテンアメリカ
    • 中東・アフリカ

第9章 企業プロファイル

  • CGI INC
  • DXC TECHNOLOGY
  • EXL
  • IBM
  • MCKESSON
  • NORTHROP GRUMMAN
  • OSP LABS
  • SAS INSTITUTE
  • RELX GROUP PLC
  • UNITED HEALTH GROUP INCORPORATED (OPTUM INC)
  • COTIVITI HOLDINGS INC
  • CHANGE HEALTHCARE
  • FAIR ISSAC CORPORATION
  • PONDERA SOLUTIONS
図表

LIST OF TABLES

  • TABLE 1: MARKET SNAPSHOT - HEALTHCARE FRAUD ANALYTICS AND DETECTION
  • TABLE 2: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY TYPE, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 3: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY TYPE, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 4: GLOBAL DESCRIPTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 5: GLOBAL DESCRIPTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 6: GLOBAL PREDICTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 7: GLOBAL PREDICTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 8: GLOBAL PRESCRIPTIVE ANALYSIS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 9: GLOBAL PRESCRIPTIVE ANALYSIS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 10: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY APPLICATION, HISTORICAL YEARS, 2016-2019 (IN $
  • TABLE 11: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY APPLICATION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 12: GLOBAL REVIEW OF INSURANCE CLAIMS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 13: GLOBAL REVIEW OF INSURANCE CLAIMS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 14: GLOBAL PAYMENT INTEGRITY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 15: GLOBAL PAYMENT INTEGRITY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 16: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 17: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 18: GLOBAL PRIVATE INSURANCE PAYERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 19: GLOBAL PRIVATE INSURANCE PAYERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 20: GLOBAL GOVERNMENT AGENCIES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 21: GLOBAL GOVERNMENT AGENCIES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 22: GLOBAL OTHER END-USERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 23: GLOBAL OTHER END-USERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 24: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2016-2019 (IN $
  • TABLE 25: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GEOGRAPHY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 26: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 27: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 28: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 29: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 30: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 31: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 32: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 33: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

LIST OF FIGURES

  • FIGURE 1: KEY INVESTMENT INSIGHTS
  • FIGURE 2: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 3: OPPORTUNITY MATRIX
  • FIGURE 4: VENDOR LANDSCAPE
  • FIGURE 5: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY TYPE, IN 2019
  • FIGURE 6: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY DESCRIPTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 7: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PREDICTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 8: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PRESCRIPTIVE ANALYSIS, 2020-2028 (IN $ MILLION)
  • FIGURE 9: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2019
  • FIGURE 10: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY REVIEW OF INSURANCE CLAIMS, 2020-2028 (IN $ MILLION)
  • FIGURE 11: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PAYMENT INTEGRITY, 2020-2028 (IN $ MILLION)
  • FIGURE 12: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019
  • FIGURE 13: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY PRIVATE INSURANCE PAYERS, 2020-2028 (IN $ MILLION)
  • FIGURE 14: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY GOVERNMENT AGENCIES, 2020-2028 (IN $ MILLION)
  • FIGURE 15: GLOBAL HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, BY OTHER END-USERS, 2020-2028 (IN $ MILLION)
  • FIGURE 16: NORTH AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 17: UNITED STATES HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 18: CANADA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 19: EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 20: UNITED KINGDOM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 21: GERMANY HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 22: FRANCE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 23: ITALY HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 24: RUSSIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 25: BELGIUM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 26: POLAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 27: REST OF EUROPE HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 28: ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 29: CHINA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 30: JAPAN HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 31: INDIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 32: SOUTH KOREA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 33: INDONESIA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 34: THAILAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 35: VIETNAM HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 36: AUSTRALIA & NEW ZEALAND HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 37: REST OF ASIA PACIFIC HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 38: REST OF WORLD HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 39: LATIN AMERICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 40: MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS AND DETECTION MARKET, 2020-2028 (IN $ MILLION)
目次
Product Code: 32302

KEY FINDINGS

The global healthcare fraud analytics and detection market is set to register a CAGR of 21.09% during the forecast period, 2020-2028. The factors augmenting the growth of the market are the rising fabricated activities in healthcare, the increasing number of patients opting for health insurance, and the growing healthcare expenditure.

MARKET INSIGHTS

Healthcare fraud detection is increasingly prioritized these days. There is a rise in the cases of frauds with regard to medical insurance, which is one of the crucial factors propelling the growth of the market analyzed. Many countries, like the United States, face issues with fraud in medical insurance. In the case of developing countries like India, there has been an increase in the number of fraudulent cases during the claim of medical insurance. In order to tackle such circumstances, the healthcare industry is adopting technology, which can ease the process of fraud detection, while maintaining the data for insurance. The implementation of fraud detection software has increased, given the rapid transformation of healthcare delivery and claims systems in developed and developing countries. The growing reliance on software and cloud-based solutions, is deemed to be beneficial for market growth. The inefficiency, while dealing with technology, and the unwillingness of companies in adopting new analytics technologies, are the factors hindering the growth of the market.

REGIONAL INSIGHTS

The geographical segmentation of the global healthcare fraud analytics and detection market entails the assessment of Europe, North America, Asia Pacific, and the rest of the world. The Asia Pacific region is predicted to record the highest CAGR by the end of the forecast period. The increasing use of mobile data for applications like mobile banking and social media is resulting in the increased adoption of fraud detection and prevention solutions. Such factors are accredited to the growth of the market in the region.

COMPETITIVE INSIGHTS

The competitive environment of the market encompasses sustainable advantage due to innovations among companies. Some of the leading companies present in the market include, DXC Technology, EXL, McKesson, IBM, CGI Inc, etc.

Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

TABLE OF CONTENTS

1. RESEARCH SCOPE & METHODOLOGY

  • 1.1. STUDY OBJECTIVES
  • 1.2. SCOPE OF STUDY
  • 1.3. METHODOLOGY
  • 1.4. ASSUMPTIONS & LIMITATIONS

2. EXECUTIVE SUMMARY

  • 2.1. MARKET SIZE & ESTIMATES
  • 2.2. MARKET OVERVIEW

3. MARKET DYNAMICS

  • 3.1. MARKET DEFINITION
  • 3.2. KEY DRIVERS
    • 3.2.1. RISE IN HEALTHCARE EXPENDITURE
    • 3.2.2. SURGE IN THE NUMBER OF PATIENTS OPTING FOR HEALTH INSURANCE
    • 3.2.3. RISE IN FABRICATED ACTIVITIES IN HEALTHCARE
  • 3.3. KEY RESTRAINTS
    • 3.3.1. RELUCTANCE TO ADOPT HEALTHCARE FRAUD ANALYTICS

4. KEY ANALYTICS

  • 4.1. KEY INVESTMENT INSIGHTS
  • 4.2. PORTER'S FIVE FORCE ANALYSIS
    • 4.2.1. BUYER POWER
    • 4.2.2. SUPPLIER POWER
    • 4.2.3. SUBSTITUTION
    • 4.2.4. NEW ENTRANTS
    • 4.2.5. INDUSTRY RIVALRY
  • 4.3. OPPORTUNITY MATRIX
  • 4.4. VENDOR LANDSCAPE

5. MARKET BY TYPE

  • 5.1. DESCRIPTIVE ANALYSIS
  • 5.2. PREDICTIVE ANALYSIS
  • 5.3. PRESCRIPTIVE ANALYSIS

6. MARKET BY APPLICATION

  • 6.1. REVIEW OF INSURANCE CLAIMS
  • 6.2. PAYMENT INTEGRITY

7. MARKET BY END-USER

  • 7.1. PRIVATE INSURANCE PAYERS
  • 7.2. GOVERNMENT AGENCIES
  • 7.3. OTHER END-USERS

8. GEOGRAPHICAL ANALYSIS

  • 8.1. NORTH AMERICA
    • 8.1.1. UNITED STATES
    • 8.1.2. CANADA
  • 8.2. EUROPE
    • 8.2.1. UNITED KINGDOM
    • 8.2.2. GERMANY
    • 8.2.3. FRANCE
    • 8.2.4. ITALY
    • 8.2.5. RUSSIA
    • 8.2.6. BELGIUM
    • 8.2.7. POLAND
    • 8.2.8. REST OF EUROPE
  • 8.3. ASIA PACIFIC
    • 8.3.1. CHINA
    • 8.3.2. JAPAN
    • 8.3.3. INDIA
    • 8.3.4. SOUTH KOREA
    • 8.3.5. INDONESIA
    • 8.3.6. THAILAND
    • 8.3.7. VIETNAM
    • 8.3.8. AUSTRALIA & NEW ZEALAND
    • 8.3.9. REST OF ASIA PACIFIC
  • 8.4. REST OF WORLD
    • 8.4.1. LATIN AMERICA
    • 8.4.2. MIDDLE EAST & AFRICA

9. COMPANY PROFILES

  • 9.1. CGI INC
  • 9.2. DXC TECHNOLOGY
  • 9.3. EXL
  • 9.4. IBM
  • 9.5. MCKESSON
  • 9.6. NORTHROP GRUMMAN
  • 9.7. OSP LABS
  • 9.8. SAS INSTITUTE
  • 9.9. RELX GROUP PLC
  • 9.10. UNITED HEALTH GROUP INCORPORATED (OPTUM INC)
  • 9.11. COTIVITI HOLDINGS INC
  • 9.12. CHANGE HEALTHCARE
  • 9.13. FAIR ISSAC CORPORATION
  • 9.14. PONDERA SOLUTIONS