ヘルスケア予測分析市場の成長分析レポート - 2030年までの最新動向、推進要因、主要企業調査
Healthcare Predictive Analytics Market Growth Analysis Report - Latest Trends, Driving Factors and Key Players Research to 2030
この調査レポートは、COVID-19パンデミックがHealthcare Predictive Analyticss産業に与える影響など、Healthcare Predictive Analyticss市場の将来を形作る短期的および長期的トレンドを予測しています。本レポ... もっと見る
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サマリー この調査レポートは、COVID-19パンデミックがHealthcare Predictive Analyticss産業に与える影響など、Healthcare Predictive Analyticss市場の将来を形作る短期的および長期的トレンドを予測しています。本レポートでは、タイプ、用途、エンドユーザー、地域間の国別の市場規模予測を提示しています。市場動向、促進要因、課題、ファイブフォース分析、市場や企業に関する洞察など、開発マネージャー、意思決定者、業界専門家のための戦略的必須事項。
ヘルスケア予測分析市場予測レポートは、市場の成長機会を特定し、企業が現在の市場状況にどのように対応しているかを明らかにします。医療予測分析企業は、現在の経済的に厳しい状況下で、効率性の向上とコストの抑制に注力しています。医療予測分析市場予測および医療予測分析市場成長は2030年までの展望です。
本レポートでは、2022年を基準年、2023年から2030年を予測期間として予測を反映しています。この調査レポートは、Healthcare Predictive Analytics市場の機会、市場の基礎要因、人口統計学的・経済学的要因、市場動向などを分析したアナリストの専門チームの所見に基づいています。
ヘルスケア予測分析業界規模は、先進国でのヘルスケア予測分析市場シェア強化を選択する一方で、アジア太平洋地域と中南米の発展途上国における製品多様化と拡大戦略への継続的な投資によって、予測期間中に力強い成長を記録すると推定されます。
調査範囲
ヘルスケア予測アナリティクスの世界市場を2023年から2030年までの展望期間で分析・予測します。
業務管理
需要予測
人員計画とスケジューリング
入院患者のスケジューリング
外来患者スケジューリング
財務
収益サイクル管理
不正検出
その他の財務アプリケーション
集団健康管理
集団リスク管理
患者管理
集団治療管理
その他
臨床
クオリティ・ベンチマーキング
患者ケアの向上
臨床結果分析と管理
医療予測アナリティクスの世界市場を2023年から2030年までの予測期間で分析・予測：エンドユーザー別
医療費支払者
医療プロバイダー
その他
ヘルスケア予測分析市場で事業を展開するトップ企業には、IBM、オールスクリプツ、サーナー・コーポレーション、マッケソン・コーポレーション、MEDai、MedeAnalytics, Inc.オプティム・ヘルス社オラクル、1SAS、1Verisk Analytics Inc.
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目次 1. Table of Contents
1.1 List of Tables
1.2 List of Figures
2. Executive Summary
2.1 Report Guide
2.2 Methodology
2.3 Market Segmentation
2.4 Healthcare Predictive Analytics Market- Key Findings, 2022
3. Strategic Imperatives on Global Healthcare Predictive Analytics Market
3.1 COVID-19 Impact Analysis
3.2 Market Trends- Across Types, Applications, End User Types, Countries
3.3 Insights into Main Market Categories
3.4 Market Drivers and Restraints
3.5 Growth Opportunities Critical for Future Success
3.6 Key Healthcare Predictive Analytics Companies
4. Global Healthcare Predictive Analytics Market Value Outlook to 2030 Outlook by Application
4.1 Operations Management
4.1.1 Demand Forecasting
4.1.2 Workforce Planning and Scheduling
4.1.3 Inpatient Scheduling
4.1.4 Outpatient Scheduling
4.2 Financial
4.2.1 Revenue Cycle Management
4.2.2 Fraud Detection
4.2.3 Other Financial Applications
4.3 Population Health Management
4.3.1 Population Risk Management
4.3.2 Patient Engagement
4.3.3 Population Therapy Management
4.3.4 Others
4.4 Clinical
4.4.1 Quality Benchmarking
4.4.2 Patient Care Enhancement
4.4.3 Clinical Outcome Analysis and Management
5. Global Healthcare Predictive Analytics Market Value Outlook to 2030 Outlook by End-Use
5.1 Healthcare Payers
5.2 Healthcare Providers
5.3 Others
6 Asia Pacific Healthcare Predictive Analytics Market Value Outlook to 2030
6.1 Leading Healthcare Predictive Analytics Types contributing to Asia Pacific market
6.2 Top Applications contributing to Asia Pacific Healthcare Predictive Analytics
6.3 Top countries contributing to Asia Pacific Healthcare Predictive Analytics
7 Europe Healthcare Predictive Analytics Market Value Outlook to 2030
7.1 Leading Healthcare Predictive Analytics Types contributing to Europe market
7.2 Top Applications contributing to Europe Healthcare Predictive Analytics
7.3 Top countries contributing to Europe Healthcare Predictive Analytics
8 North America Healthcare Predictive Analytics Market Value Outlook to 2030
8.1 Leading Healthcare Predictive Analytics Types contributing to North America market
8.2 Top Applications contributing to North America Healthcare Predictive Analytics
8.3 Top countries contributing to North America Healthcare Predictive Analytics
9 South and Central America Healthcare Predictive Analytics Market Value Outlook to 2030
9.1 Leading Healthcare Predictive Analytics Types contributing to South and Central America market
9.2 Top Applications contributing to South and Central America Healthcare Predictive Analytics
9.3 Top countries contributing to South and Central America Healthcare Predictive Analytics
10 Middle East Africa Healthcare Predictive Analytics Market Value Outlook to 2030
10.1 Leading Healthcare Predictive Analytics Types contributing to Middle East Africa market
10.2 Top Applications contributing to Middle East Africa Healthcare Predictive Analytics
10.3 Top countries contributing to Middle East Africa Healthcare Predictive Analytics
11 Business Profiles of Leading Companies
11.1 Business Description, SWOT and Financial Analysis of Companies in Healthcare Predictive Analytics market
11.2 IBM
11.3 Allscripts
11.4 Cerner Corporation
11.5 McKesson Corporation
11.6 MEDai
11.7 MedeAnalytics, Inc.
11.8 Optum Health Inc.
11.9 Oracle
11.10 SAS
11.11 Verisk Analytics Inc.
12 Recent Industry Developments
13 Appendix
13.1 OGAnalysis Expertise
13.2 Sources and Methodology
13.3 Contacts
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Summary The study predicts the short term and long term trends that can shape up the future of the Healthcare Predictive Analytics market including the COVID-19 pandemic implications for Healthcare Predictive Analyticss industry. The report presents market size forecasts across types, applications, end users and countries across regions. Strategic imperatives for development managers, decision makers and industry professionals including market trends, drivers, challenges, five forces analysis, insights on markets and companies.
The Healthcare Predictive Analytics market forecast report identifies growth opportunities in the market and how companies are reacting to the current market conditions. Healthcare Predictive Analytics Companies are focusing on improving efficiency and containing costs in current economically challenging conditions. Healthcare Predictive Analytics market forecast and Healthcare Predictive Analytics market growth is outlook through 2030.
The report reflects on predictions with 2022 as the base year and 2023- 2030 as the forecast period. The research was based on the findings of expert team of analysts analyzing the Healthcare Predictive Analytics market opportunities, underlying market factors, demographic and economic factors, market developments and others.
Healthcare Predictive Analytics industry size is estimated to register strong growth over the forecast period driven by ongoing investments in product diversification and expansion strategies in developing countries in Asia Pacific and South and Central America while opting for strengthening Healthcare Predictive Analytics market share in developed countries.
Scope of the research-
Global Healthcare Predictive Analytics Market is analyzed and forecast over the outlook period from 2023 to 2030 By application including
Operations Management
Demand Forecasting
Workforce Planning and Scheduling
Inpatient Scheduling
Outpatient Scheduling
Financial
Revenue Cycle Management
Fraud Detection
Other Financial Applications
Population Health Management
Population Risk Management
Patient Engagement
Population Therapy Management
Others
Clinical
Quality Benchmarking
Patient Care Enhancement
Clinical Outcome Analysis and Management
Global Healthcare Predictive Analytics Market is analyzed and forecast over the outlook period from 2023 to 2030 By End-Use
Healthcare Payers
Healthcare Providers
Others
Top Companies Operating in Healthcare Predictive Analytics market include- IBM , Allscripts , Cerner Corporation , McKesson Corporation , MEDai , MedeAnalytics, Inc. , Optum Health Inc. , Oracle , 1SAS , 1Verisk Analytics Inc.
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Table of Contents 1. Table of Contents
1.1 List of Tables
1.2 List of Figures
2. Executive Summary
2.1 Report Guide
2.2 Methodology
2.3 Market Segmentation
2.4 Healthcare Predictive Analytics Market- Key Findings, 2022
3. Strategic Imperatives on Global Healthcare Predictive Analytics Market
3.1 COVID-19 Impact Analysis
3.2 Market Trends- Across Types, Applications, End User Types, Countries
3.3 Insights into Main Market Categories
3.4 Market Drivers and Restraints
3.5 Growth Opportunities Critical for Future Success
3.6 Key Healthcare Predictive Analytics Companies
4. Global Healthcare Predictive Analytics Market Value Outlook to 2030 Outlook by Application
4.1 Operations Management
4.1.1 Demand Forecasting
4.1.2 Workforce Planning and Scheduling
4.1.3 Inpatient Scheduling
4.1.4 Outpatient Scheduling
4.2 Financial
4.2.1 Revenue Cycle Management
4.2.2 Fraud Detection
4.2.3 Other Financial Applications
4.3 Population Health Management
4.3.1 Population Risk Management
4.3.2 Patient Engagement
4.3.3 Population Therapy Management
4.3.4 Others
4.4 Clinical
4.4.1 Quality Benchmarking
4.4.2 Patient Care Enhancement
4.4.3 Clinical Outcome Analysis and Management
5. Global Healthcare Predictive Analytics Market Value Outlook to 2030 Outlook by End-Use
5.1 Healthcare Payers
5.2 Healthcare Providers
5.3 Others
6 Asia Pacific Healthcare Predictive Analytics Market Value Outlook to 2030
6.1 Leading Healthcare Predictive Analytics Types contributing to Asia Pacific market
6.2 Top Applications contributing to Asia Pacific Healthcare Predictive Analytics
6.3 Top countries contributing to Asia Pacific Healthcare Predictive Analytics
7 Europe Healthcare Predictive Analytics Market Value Outlook to 2030
7.1 Leading Healthcare Predictive Analytics Types contributing to Europe market
7.2 Top Applications contributing to Europe Healthcare Predictive Analytics
7.3 Top countries contributing to Europe Healthcare Predictive Analytics
8 North America Healthcare Predictive Analytics Market Value Outlook to 2030
8.1 Leading Healthcare Predictive Analytics Types contributing to North America market
8.2 Top Applications contributing to North America Healthcare Predictive Analytics
8.3 Top countries contributing to North America Healthcare Predictive Analytics
9 South and Central America Healthcare Predictive Analytics Market Value Outlook to 2030
9.1 Leading Healthcare Predictive Analytics Types contributing to South and Central America market
9.2 Top Applications contributing to South and Central America Healthcare Predictive Analytics
9.3 Top countries contributing to South and Central America Healthcare Predictive Analytics
10 Middle East Africa Healthcare Predictive Analytics Market Value Outlook to 2030
10.1 Leading Healthcare Predictive Analytics Types contributing to Middle East Africa market
10.2 Top Applications contributing to Middle East Africa Healthcare Predictive Analytics
10.3 Top countries contributing to Middle East Africa Healthcare Predictive Analytics
11 Business Profiles of Leading Companies
11.1 Business Description, SWOT and Financial Analysis of Companies in Healthcare Predictive Analytics market
11.2 IBM
11.3 Allscripts
11.4 Cerner Corporation
11.5 McKesson Corporation
11.6 MEDai
11.7 MedeAnalytics, Inc.
11.8 Optum Health Inc.
11.9 Oracle
11.10 SAS
11.11 Verisk Analytics Inc.
12 Recent Industry Developments
13 Appendix
13.1 OGAnalysis Expertise
13.2 Sources and Methodology
13.3 Contacts
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