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시장보고서
상품코드
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질병 예측 분석 시장, 점유율, 규모, 동향, 산업 분석 보고서 : 구성 요소별, 배포별, 최종 사용자별, 지역별, 부문별 예측(2023-2032년)Predictive Disease Analytics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Service, and Hardware); By Deployment; By End-User; By Region; Segment Forecast, 2023 - 2032 |
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Polaris Market Research의 최신 조사에 따르면, 세계 질병 예측 분석 시장 규모는 2032년까지 140억 4,000만 달러에 달할 것으로 예상됩니다. 이 조사 보고서는 현재 시장 역학에 대한 자세한 통찰력과 미래 시장 성장에 대한 분석을 제공합니다.
헬스케어의 질병 예측 분석은 인공지능, 데이터 마이닝, 통계 등 다양한 기술을 도입하여 치료를 크게 개선하고 결과를 개선하고 있습니다. 예를 들어, 2022년 11월 Zephyr AI와 MedStar Health는 만성 질환 예측 분석 능력을 강화하는 AI 기반 제품을 개발하기 위해 협력했으며, AI와 머신러닝은 환자 데이터를 풀어 의료 분야의 다양한 복잡한 문제를 해결하는 열쇠다. 기술의 발전과 함께 예측 분석은 헬스케어 산업 전반에 큰 영향을 미치고 있습니다.
보건의료는 수년 동안 디지털화되어 환자 치료와 결과에 큰 변화를 가져왔습니다. 의료 기관과 의료 시스템은 빅데이터 플랫폼과 AI를 예측 분석에 활용하는 다양한 방법을 모색하고 있습니다. 예를 들어, 펜실베니아 대학교 의과대학에서는 예측 모델을 통해 패혈증의 거의 85%를 인식할 수 있었습니다고 합니다. 또한, 제대로 식별되지 않았던 심부전 환자의 20-30%도 인식할 수 있었습니다. 이러한 솔루션의 정확도는 분석에 대한 수요를 크게 향상시키고 있습니다. 이러한 솔루션은 의료 기관이 단순히 이미 발생한 것을 학습하는 것에서 그 데이터를 사용하여 앞으로 발생할 것을 보다 일관되게 예측하는 것으로 전환하는 것을 돕고 있습니다.
정부의 지원은 세계 수익 향상에 큰 역할을 하고 있습니다. 세계 여러 국가의 정부는 질병 예측 분석에 수백만 달러를 투자하고 있습니다. 예를 들어, 미국 정부는 2023년 3월 인공지능(AI)을 활용해 환자 진단을 강화하기 위해 이 분야의 최전선에 있는 기업에 1,690만 달러 이상을 지원했으며, 3차례에 걸쳐 총 1억 3,000만 달러가 86개의 AI 솔루션에 투입되어 30만 명 이상의 환자를 지원했다, 암, 심장병, 당뇨병, 정신질환, 신경질환 등 질병 치료와 관리를 강화했습니다. 이 요인은 세계적으로 시장 수익을 높이고 있습니다.
질병 예측 분석 시장 보고서 하이라이트
세계적으로 디지털화가 진행됨에 따라 2022년에는 소프트웨어 분야가 세계 시장 점유율을 주도할 것으로 예상됩니다.
클라우드 기반 부문은 사용자 참여가 크게 확대되고 효율성과 유연성이 향상되면서 가장 빠른 CAGR로 성장할 것으로 예상됩니다.
2022년 세계 시장 점유율은 헬스케어 지불자 부문이 차지할 것으로 예상됩니다. 이는 많은 지불자 사이에서 질병 예측 분석 도구의 채택이 확대되고 있기 때문입니다.
북미가 2022년 가장 큰 점유율을 차지할 것으로 예상되는데, 이는 이 지역에 여러 시장 리더가 존재하고, 만성질환 환자가 증가하고, 의료비 지출이 증가하고 있기 때문입니다.
세계 질병 예측 분석 시장에는 오라클, IBM, SAS, 올스크립트 헬스케어 솔루션즈, MedeAnalytics, Health Catalyst, Apixio 등이 있습니다.
목차
제1장 서론
제2장 주요 요약
제3장 조사 방법
제4장 세계의 질병 예측 분석 시장에 관한 인사이트
- 질병 예측 분석 시장 - 최종사용자 현황
- 질병 예측 분석 시장 역학
- 성장 촉진요인과 기회
- 만성 질병 증가
- 정부 지원을 늘린다
- 성장 억제요인과 과제
- 성장 촉진요인과 기회
- PESTEL 분석
- 질병 예측 분석 시장 최종사용자 동향
- 밸류체인 분석
- COVID-19의 영향 분석
제5장 세계의 질병 예측 분석 시장, 컴포넌트별
- 주요 조사 결과
- 서론
- 소프트웨어
- 서비스
- 하드웨어
제6장 세계의 질병 예측 분석 시장, 전개 형태별
- 주요 조사 결과
- 서론
- 온프레미스
- 클라우드 기반
제7장 세계의 질병 예측 분석 시장, 최종사용자별
- 주요 조사 결과
- 서론
- 헬스케어 지불자
- 헬스케어 제공업체
- 기타
제8장 세계의 질병 예측 분석 시장, 지역별
- 주요 조사 결과
- 서론
- 질병 예측 분석 시장 평가, 지역별, 2019-2032년
- 질병 예측 분석 시장 - 북미
- 북미 : 질병 예측 분석 시장, 컴포넌트별, 2019-2032년
- 북미 : 질병 예측 분석 시장, 최종사용자별, 2019-2032년
- 북미 : 질병 예측 분석 시장, 전개 형태별, 2019-2032년
- 질병 예측 분석 시장 - 미국
- 질병 예측 분석 시장 - 캐나다
- 질병 예측 분석 시장 - 유럽
- 유럽 : 질병 예측 분석 시장, 컴포넌트별, 2019-2032년
- 유럽 : 질병 예측 분석 시장, 최종사용자별, 2019-2032년
- 유럽 : 질병 예측 분석 시장, 전개 형태별, 2019-2032년
- 질병 예측 분석 시장 - 영국
- 질병 예측 분석 시장 - 프랑스
- 질병 예측 분석 시장 - 독일
- 질병 예측 분석 시장 - 이탈리아
- 질병 예측 분석 시장 - 스페인
- 질병 예측 분석 시장 - 네덜란드
- 질병 예측 분석 시장 - 러시아
- 질병 예측 분석 시장 - 아시아태평양
- 아시아태평양 : 질병 예측 분석 시장, 컴포넌트별, 2019-2032년
- 아시아태평양 : 질병 예측 분석 시장, 최종사용자별, 2019-2032년
- 아시아태평양 : 질병 예측 분석 시장, 전개 형태별, 2019-2032년
- 질병 예측 분석 시장 - 중국
- 질병 예측 분석 시장 - 인도
- 질병 예측 분석 시장 - 말레이시아
- 질병 예측 분석 시장 - 일본
- 질병 예측 분석 시장 - 인도네시아
- 질병 예측 분석 시장 - 한국
- 질병 예측 분석 시장 - 중동 및 아프리카
- 중동 및 아프리카 : 질병 예측 분석 시장, 컴포넌트별, 2019-2032년
- 중동 및 아프리카 : 질병 예측 분석 시장, 최종사용자별, 2019-2032년
- 중동 및 아프리카 : 질병 예측 분석 시장, 전개 형태별, 2019-2032년
- 질병 예측 분석 시장 - 사우디아라비아
- 질병 예측 분석 시장 - 아랍에미리트(UAE)
- 질병 예측 분석 시장 - 이스라엘
- 질병 예측 분석 시장 - 남아프리카
- 질병 예측 분석 시장 - 라틴아메리카
- 라틴아메리카 : 질병 예측 분석 시장, 컴포넌트별, 2019-2032년
- 라틴아메리카 : 질병 예측 분석 시장, 최종사용자별, 2019-2032년
- 라틴아메리카 : 질병 예측 분석 시장, 전개 형태별, 2019-2032년
- 질병 예측 분석 시장 - 멕시코
- 질병 예측 분석 시장 - 브라질
- 질병 예측 분석 시장 - 아르헨티나
제9장 경쟁 구도
- 확장 및 인수 분석
- 확장
- 인수
- 제휴/협업/합의/공개
제10장 기업 개요
- Oracle
- IBM
- SAS
- Allscripts Healthcare Solutions
- MedeAnalytics
- Health Catalyst
- Apixio Inc
The global predictive disease analytics market size is expected to reach USD 14.04 billion by 2032, according to a new study by Polaris Market Research. The report "Predictive Disease Analytics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Service, and Hardware); By Deployment; By End User; By Region; Segment Forecast, 2023 - 2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.
Predictive disease analytics in healthcare has significantly improved care and enhanced outcomes by implementing various technologies such as artificial intelligence, data mining, statistics, etc. For instance, in November 2022, Zephyr AI & MedStar Health partnered to develop their AI-based product, which enhances predictive analytical capabilities for chronic diseases. AI & machine learning are keys to unlocking patient data and solving various complex problems in healthcare. With technological development, predictive analytics have tremendously impacted the overall healthcare industry.
Healthcare has been digitized for many years, creating massive patient care and outcomes changes. Providers and health systems are exploring diverse methods to use big data platforms and AI for predictive analytics. For example, Penn Medicine observed that the predictive model could recognize almost 85% of sepsis cases. It also recognized between 20 and 30% of heart failure patients who had not been appropriately identified. The accuracy of these solutions is largely improving the demand for analytics. These solutions are assisting health organizations in transitioning from merely learning what has already occurred to using that data to more consistently forecast what will occur.
Government support is playing a huge role in helping to improve global revenue. The governments of several countries worldwide are investing millions of dollars in predictive disease analytics. For example, in March 2023, the UK government committed over US$ 16.9 million to businesses at the forefront of this field in an effort to employ artificial intelligence (AI) to enhance patient diagnostics. Over three rounds of awards, US$ 130 million has been spent on 86 AI solutions, assisting over 300,000 patients and enhancing their care and treatment for illnesses like cancer, heart disease, diabetes, mental illness, and neurological disorders. This factor is boosting the market's revenue globally.
Predictive Disease Analytics Market Report Highlights
Software segment is expected to lead the global market share in 2022 primarily due to growing digitalization across the globe
Cloud-based segment is expected to grow with the fastest CAGR due to largely expanding user engagement, improved efficiency, and flexibility
Healthcare payer segment was dominating the global market share in 2022. This is attributed to the growing adoption of predictive disease analytics tools among many payers
North America held the largest share in 2022 due to the presence of several market leaders in the region, increasing cases of chronic diseases, and growing healthcare expenditure
The global predictive disease analytics market involves Oracle, IBM, SAS, Allscripts Healthcare Solutions, MedeAnalytics, Health Catalyst, and Apixio.
Polaris Market Research has segmented the predictive disease analytics market report based on component, deployment, end-user, and region:
Predictive Disease Analytics, Component Outlook (Revenue - USD Billion, 2019 - 2032)
- Software
- Service
- Hardware
Predictive Disease Analytics, Deployment Outlook (Revenue - USD Billion, 2019 - 2032)
- On-premises
- Cloud-based
Predictive Disease Analytics, End User Outlook (Revenue - USD Billion, 2019 - 2032)
- Healthcare payers
- Healthcare providers
- Others
Predictive Disease Analytics, Regional Outlook (Revenue - USD Billion, 2019-2032)
- North America
- U.S.
- Canada
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Netherlands
- Asia Pacific
- China
- India
- Japan
- South Korea
- Indonesia
- Malaysia
- Latin America
- Argentina
- Brazil
- Mexico
- Middle East & Africa
- UAE
- Saudi Arabia
- Israel
- South Africa
Table of Contents
1. Introduction
- 1.1. Report Description
- 1.1.1. Objectives of the Study
- 1.1.2. Market Scope
- 1.1.3. Assumptions
- 1.2. Stakeholders
2. Executive Summary
- 2.1. Market Highlights
3. Research Methodology
- 3.1. Overview
- 3.1.1. Data Mining
- 3.2. Data Sources
- 3.2.1. Primary Sources
- 3.2.2. Secondary Sources
4. Global Predictive Disease Analytics Market Insights
- 4.1. Predictive Disease Analytics Market - End-User Snapshot
- 4.2. Predictive Disease Analytics Market Dynamics
- 4.2.1. Drivers and Opportunities
- 4.2.1.1. Rising cases of chronic diseases
- 4.2.1.2. Increasing government support
- 4.2.2. Restraints and Challenges
- 4.2.2.1. lack of widespread adoption of digital health solutions
- 4.2.1. Drivers and Opportunities
- 4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers (Moderate)
- 4.3.2. Threats of New Entrants: (Low)
- 4.3.3. Bargaining Power of Buyers (Moderate)
- 4.3.4. Threat of Substitute (Moderate)
- 4.3.5. Rivalry among existing firms (High)
- 4.4. PESTEL Analysis
- 4.5. Predictive Disease Analytics Market End-User Trends
- 4.6. Value Chain Analysis
- 4.7. COVID-19 Impact Analysis
5. Global Predictive Disease Analytics Market, by Component
- 5.1. Key Findings
- 5.2. Introduction
- 5.2.1. Global Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 5.3. Software
- 5.3.1. Global Predictive Disease Analytics Market, by Software, by Region, 2019-2032 (USD Billion)
- 5.4. Service
- 5.4.1. Global Predictive Disease Analytics Market, by Service, by Region, 2019-2032 (USD Billion)
- 5.5. Hardware
- 5.5.1. Global Predictive Disease Analytics Market, by Hardware, by Region, 2019-2032 (USD Billion)
6. Global Predictive Disease Analytics Market, by Deployment
- 6.1. Key Findings
- 6.2. Introduction
- 6.2.1. Global Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 6.3. On-premises
- 6.3.1. Global Predictive Disease Analytics Market, by On-premises, by Region, 2019-2032 (USD Billion)
- 6.4. Cloud-based
- 6.4.1. Global Predictive Disease Analytics Market, by Cloud-based, by Region, 2019-2032 (USD Billion)
7. Global Predictive Disease Analytics Market, by End-User
- 7.1. Key Findings
- 7.2. Introduction
- 7.2.1. Global Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 7.3. Healthcare Payer
- 7.3.1. Global Predictive Disease Analytics Market, by Healthcare Payer, By Region, 2019-2032 (USD Billion)
- 7.4. Healthcare providers
- 7.4.1. Global Predictive Disease Analytics Market, by Healthcare providers, By Region, 2019-2032 (USD Billion)
- 7.5. Others
- 7.5.1. Global Predictive Disease Analytics Market, by Others, By Region, 2019-2032 (USD Billion)
8. Global Predictive Disease Analytics Market, by Geography
- 8.1. Key findings
- 8.2. Introduction
- 8.2.1. Predictive Disease Analytics Market Assessment, By Geography, 2019-2032 (USD Billion)
- 8.3. Predictive Disease Analytics Market - North America
- 8.3.1. North America: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.3.2. North America: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.3.3. North America: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.3.4. Predictive Disease Analytics Market - U.S.
- 8.3.4.1. U.S.: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.3.4.2. U.S.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.3.4.3. U.S.: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.3.5. Predictive Disease Analytics Market - Canada
- 8.3.5.1. Canada: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.3.5.2. Canada.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.3.5.3. Canada: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4. Predictive Disease Analytics Market - Europe
- 8.4.1. Europe: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.2. Europe.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.3. Europe: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.4. Predictive Disease Analytics Market - UK
- 8.4.4.1. UK: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.4.2. UK.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.4.3. UK: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.5. Predictive Disease Analytics Market - France
- 8.4.5.1. France: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.5.2. France.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.5.3. France: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.6. Predictive Disease Analytics Market - Germany
- 8.4.6.1. Germany: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.6.2. Germany.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.6.3. Germany: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.7. Predictive Disease Analytics Market - Italy
- 8.4.7.1. Italy: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.7.2. Italy.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.7.3. Italy: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.8. Predictive Disease Analytics Market - Spain
- 8.4.8.1. Spain: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.8.2. Spain.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.8.3. Spain: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.9. Predictive Disease Analytics Market - Netherlands
- 8.4.9.1. Netherlands: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.9.2. Netherlands.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.9.3. Netherlands: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.4.10. Predictive Disease Analytics Market - Russia
- 8.4.10.1. Russia: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.4.10.2. Russia.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.4.10.3. Russia: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5. Predictive Disease Analytics Market - Asia Pacific
- 8.5.1. Asia Pacific: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.2. Asia Pacific.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.3. Asia Pacific: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.4. Predictive Disease Analytics Market - China
- 8.5.4.1. China: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.4.2. China.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.4.3. China: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.5. Predictive Disease Analytics Market - India
- 8.5.5.1. India: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.5.2. India.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.5.3. India: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.6. Predictive Disease Analytics Market - Malaysia
- 8.5.6.1. Malaysia: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.6.2. Malaysia.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.6.3. Malaysia: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.7. Predictive Disease Analytics Market - Japan
- 8.5.7.1. Japan: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.7.2. Japan.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.7.3. Japan: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.8. Predictive Disease Analytics Market - Indonesia
- 8.5.8.1. Indonesia: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.8.2. Indonesia.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.8.3. Indonesia: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.5.9. Predictive Disease Analytics Market - South Korea
- 8.5.9.1. South Korea: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.5.9.2. South Korea.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.5.9.3. South Korea: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.6. Predictive Disease Analytics Market - Middle East & Africa
- 8.6.1. Middle East & Africa: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.6.2. Middle East & Africa.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.6.3. Middle East & Africa: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.6.4. Predictive Disease Analytics Market - Saudi Arabia
- 8.6.4.1. Saudi Arabia: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.6.4.2. Saudi Arabia.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.6.4.3. Saudi Arabia: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.6.5. Predictive Disease Analytics Market - UAE
- 8.6.5.1. UAE: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.6.5.2. UAE.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.6.5.3. UAE: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.6.6. Predictive Disease Analytics Market - Israel
- 8.6.6.1. Israel: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.6.6.2. Israel.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.6.6.3. Israel: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.6.7. Predictive Disease Analytics Market - South Africa
- 8.6.7.1. South Africa: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.6.7.2. South Africa.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.6.7.3. South Africa: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.7. Predictive Disease Analytics Market - Latin America
- 8.7.1. Latin America: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.7.2. Latin America.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.7.3. Latin America: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.7.4. Predictive Disease Analytics Market - Mexico
- 8.7.4.1. Mexico: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.7.4.2. Mexico.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.7.4.3. Mexico: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.7.5. Predictive Disease Analytics Market - Brazil
- 8.7.5.1. Brazil: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.7.5.2. Brazil.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.7.5.3. Brazil: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
- 8.7.6. Predictive Disease Analytics Market - Argentina
- 8.7.6.1. Argentina: Predictive Disease Analytics Market, by Component, 2019-2032 (USD Billion)
- 8.7.6.2. Argentina.: Predictive Disease Analytics Market, by End-User, 2019-2032 (USD Billion)
- 8.7.6.3. Argentina: Predictive Disease Analytics Market, by Deployment, 2019-2032 (USD Billion)
9. Competitive Landscape
- 9.1. Expansion and Acquisition Analysis
- 9.1.1. Expansion
- 9.1.2. Acquisitions
- 9.2. Partnerships/Collaborations/Agreements/Exhibitions
10. Company Profiles
- 10.1. Oracle
- 10.1.1. Company Overview
- 10.1.2. Financial Performance
- 10.1.3. Product Benchmarking
- 10.1.4. Recent Development
- 10.2. IBM
- 10.2.1. Company Overview
- 10.2.2. Financial Performance
- 10.2.3. Product Benchmarking
- 10.2.4. Recent Development
- 10.3. SAS
- 10.3.1. Company Overview
- 10.3.2. Financial Performance
- 10.3.3. Product Benchmarking
- 10.3.4. Recent Development
- 10.4. Allscripts Healthcare Solutions
- 10.4.1. Company Overview
- 10.4.2. Financial Performance
- 10.4.3. Product Benchmarking
- 10.4.4. Recent Development
- 10.5. MedeAnalytics
- 10.5.1. Company Overview
- 10.5.2. Financial Performance
- 10.5.3. Product Benchmarking
- 10.5.4. Recent Development
- 10.6. Health Catalyst
- 10.6.1. Company Overview
- 10.6.2. Financial Performance
- 10.6.3. Product Benchmarking
- 10.6.4. Recent Development
- 10.7. Apixio Inc
- 10.7.1. Company Overview
- 10.7.2. Financial Performance
- 10.7.3. Product Benchmarking
- 10.7.4. Recent Development
