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질병 예측 플랫폼 시장 보고서(2025년)

Disease Forecasting Platform Global Market Report 2025

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 질병 예측 플랫폼 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 22억 2,000만 달러에서 2025년에는 27억 6,000만 달러에 달하고, CAGR 24.0%로 확대될 것으로 보입니다. 실적기간의 성장은 전염병 증가, 정부 공중보건 대비의 중요성, 클라우드 기반 의료 솔루션의 광범위한 채택, 빅데이터 및 역학 모델링의 활용 확대, IoT 대응 건강 모니터링 시스템의 통합으로 인한 것입니다.

질병 예측 플랫폼 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년까지 CAGR 23.7%로 64억 4,000만 달러로 성장할 것으로 보입니다. 예측 기간의 성장은 정밀의료 프로그램 확대, 실시간 질병 모니터링에 대한 수요 증가, 건강 관리 및 기술 기업 간의 협력 관계 확대, 디지털 건강 인프라 투자 증가, 고급 데이터 시각화 및 대시보드 도구 채택으로 인한 것입니다. 예측기간의 주요 동향으로는 예측 모델링을 위한 생성 인공지능의 통합, 안전한 데이터 공유를 위한 연계 학습의 이용, 투명성이 높은 건강 데이터 관리를 위한 블록체인의 도입, 보다 신속한 분석을 위한 엣지 컴퓨팅의 전개, 질병 시뮬레이션을 위한 디지털 트윈의 개발 등이 있습니다.

비전염성 질환의 유병률 상승이 질병 예측 플랫폼 시장의 성장을 가속할 것으로 예측됩니다. 비전염성 질환이란, 전염성이 없고, 일반적으로 유전적, 생활습관적, 환경적 요인에 의해 발생하는 병으로, 심장병, 당뇨병, 암 등이 포함됩니다. 이러한 질병은 식생활의 혼란, 흡연, 운동 부족과 같은 건강에 해로운 행동으로 인해 증가하고 있습니다. 질병 예측 플랫폼은 빅데이터 분석, 머신러닝, 실시간 건강 모니터링을 이용하여 질병 동향을 예측하고, 고위험 그룹을 식별하고, 조기 개입을 가능하게 하며, 개별화된 예방 전략을 이끌어 비전염성 질병 관리를 지원합니다. 이러한 노력은 공중 보건의 성과를 개선하고 만성 질환의 부담을 줄입니다. 예를 들어 스위스에 본부를 두고 있는 유엔의 전문기관인 세계보건기구(WHO)는 2022년 전 세계에서 4,100만명(전체 사망의 74%)이 만성질환으로 사망한다고 보고했습니다. 그 내역은 심혈관질환에 의한 사망이 1,790만명, 암에 의한 사망이 930만명, 만성 호흡기 질환에 의한 사망이 410만명, 당뇨병에 의한 사망이 200만명으로 되어 있습니다. 이러한 유병률 증가가 질병 예측 플랫폼에 대한 수요를 부추기고 있습니다.

이 시장의 주요 기업은 실시간 질병 모니터링을 가능하게하고 적극적인 공중 보건 대응을 지원하기 위해 인공지능 주도의 예측 분석을 채택하고 있습니다. AI 주도 예측 분석은 머신러닝 및 통계 모델링과 같은 AI 기술을 적용하여 미래의 질병 패턴을 예측하고, 이상을 조기에 발견하고, 적시 개입과 자원 관리를 위한 실행 가능한 인사이트력을 제공합니다. 예를 들어 2025년 7월 한국의 생명공학 기업인 Seegene Inc.는 STAgora 플랫폼을 발표했습니다. 이 플랫폼은 PCR 기반 진단 데이터와 40개 이상의 고급 AI 및 통계 도구를 통합하여 실시간으로 전염성 감염의 추세를 시각화합니다. 이 플랫폼은 병원체 비정상 활동의 조기 발견, 발생 예측 모델링, 지역 수준에서 세계 수준까지의 상황 인식을 지원합니다. 실시간 감염성 인텔리전스 시스템으로 설계된 STAgora는 신속한 상황 인식을 강화하고 적극적인 공중 보건 활동을 가능하게 합니다.

자주 묻는 질문

  • 세계의 질병 예측 플랫폼 시장 규모는 어떻게 변화하고 있나요?
  • 질병 예측 플랫폼 시장의 향후 성장 전망은 어떤가요?
  • 비전염성 질환의 유병률 상승이 질병 예측 플랫폼 시장에 미치는 영향은 무엇인가요?
  • 질병 예측 플랫폼 시장에서 주요 기업들은 어떤 기술을 채택하고 있나요?
  • STAgora 플랫폼은 어떤 기능을 제공하나요?

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

  • 세계의 질병 예측 플랫폼 시장 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
  • 최종 이용 산업의 분석
  • 세계의 질병 예측 플랫폼 시장 : 성장률 분석
  • 세계의 질병 예측 플랫폼 시장 실적 : 규모와 성장, 2019-2024년
  • 세계의 질병 예측 플랫폼 시장 예측 : 규모와 성장, 2024-2029년, 2034F
  • 세계의 질병 예측 플랫폼 시장 : 총 시장 규모(TAM)

제6장 시장 세분화

  • 세계의 질병 예측 플랫폼 시장 : 컴포넌트별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 소프트웨어
  • 하드웨어
  • 서비스
  • 세계의 질병 예측 플랫폼 시장 : 전개 모드별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 클라우드 기반
  • On-Premise
  • 세계의 질병 예측 플랫폼 시장 : 용도별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 감염증 감시
  • 만성 질환 관리
  • 전염병 역학
  • 공중위생
  • 기타 용도
  • 세계의 질병 예측 플랫폼 시장 : 최종 사용자별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 병원 및 클리닉
  • 정부 및 공중위생기관
  • 연구기관
  • 제약기업
  • 기타 최종 사용자
  • 세계의 질병 예측 플랫폼 시장 : 소프트웨어 유형별 세분화, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 예측 분석 도구
  • 역학 모델링 소프트웨어
  • 인공지능 및 머신러닝 알고리즘
  • 데이터 시각화 및 대시보드 도구
  • 클라우드 기반 예측 플랫폼
  • 세계의 질병 예측 플랫폼 시장 : 하드웨어 유형별 세분화, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 사물 인터넷 의료기기
  • 서버 및 데이터 스토리지 시스템
  • 네트워킹 및 연결 장치
  • 엣지 컴퓨팅 디바이스
  • 센서 및 모니터링 기기
  • 세계의 질병 예측 플랫폼 시장 : 서비스 유형별 세분화, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 매니지드 서비스
  • 컨설팅 및 통합 서비스
  • 교육 및 지원 서비스
  • 데이터 관리 및 분석 서비스
  • 공중 보건 조언 또는 예측 서비스

제7장 지역별/국가별 분석

  • 세계의 질병 예측 플랫폼 시장 : 지역별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
  • 세계의 질병 예측 플랫폼 시장 : 국가별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

  • 질병 예측 플랫폼 시장 : 경쟁 구도
  • 질병 예측 플랫폼 시장 : 기업 프로파일
    • International Business Machines Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Oracle Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Metabiota Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • SAS Institute Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Tempus AI Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석

제31장 기타 주요 기업 및 혁신 기업

  • HealthVerity Inc.
  • Airfinity Ltd.
  • Quantori LLC
  • ProMED-mail Inc.
  • EcoHealth Alliance Inc.
  • BlueDot Inc.
  • Hyfe Inc.
  • Biobot Analytics Inc.
  • Cayaba Care Inc.
  • EPIWATCH Pty Ltd
  • GIDEON Informatics Inc.
  • Kinsa Inc.
  • Epistemix
  • Epidemico Inc.
  • EpiDetect AI Inc.

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

  • 질병 예측 플랫폼 시장(2029년) : 새로운 기회를 제공하는 국가
  • 질병 예측 플랫폼 시장(2029년) : 새로운 기회를 제공하는 부문
  • 질병 예측 플랫폼 시장(2029년) : 성장 전략
    • 시장 동향에 기초한 전략
    • 경쟁 전략

제36장 부록

JHS 25.12.03

A disease forecasting platform is a digital system that leverages data analytics, artificial intelligence, and predictive modeling to predict the spread, severity, and impact of diseases. It combines real-time health, environmental, and demographic data to provide early warnings. These insights support timely interventions, resource allocation, and mitigation of outbreak risks.

The primary components of a disease forecasting platform are software, hardware, and services. Software includes the programs, applications, and algorithms used to process, analyze, and visualize health data, enabling predictive modeling, simulation, and reporting of disease trends. Deployment modes include cloud-based and on-premises solutions. Applications cover infectious disease surveillance, chronic disease management, epidemiology, public health, and others. These platforms are utilized by hospitals and clinics, government and public health agencies, research institutions, pharmaceutical companies, and other end-users.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The disease forecasting platform market research report is one of a series of new reports from The Business Research Company that provides disease forecasting platform market statistics, including disease forecasting platform industry global market size, regional shares, competitors with a disease forecasting platform market share, detailed disease forecasting platform market segments, market trends and opportunities, and any further data you may need to thrive in the disease forecasting platform industry. The disease forecasting platform market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The disease forecasting platform market size has grown exponentially in recent years. It will grow from $2.22 billion in 2024 to $2.76 billion in 2025 at a compound annual growth rate (CAGR) of 24.0%. The growth in the historic period can be attributed to increasing outbreaks of infectious diseases, government emphasis on public health preparedness, wider adoption of cloud-based healthcare solutions, greater use of big data and epidemiological modeling, and integration of IoT-enabled health monitoring systems.

The disease forecasting platform market size is expected to see exponential growth in the next few years. It will grow to $6.44 billion in 2029 at a compound annual growth rate (CAGR) of 23.7%. The growth in the forecast period can be attributed to the expansion of precision medicine programs, rising demand for real-time disease surveillance, growing collaboration between healthcare and technology companies, increased investment in digital health infrastructure, and adoption of advanced data visualization and dashboard tools. Key trends in the forecast period include integration of generative artificial intelligence for predictive modeling, use of federated learning for secure data sharing, implementation of blockchain for transparent health data management, deployment of edge computing for faster analysis, and development of digital twins for disease simulation.

The rising prevalence of non-communicable diseases is expected to drive growth in the disease forecasting platform market. Non-communicable diseases are medical conditions that are not contagious and typically develop due to genetic, lifestyle, or environmental factors, including heart disease, diabetes, and cancer. These diseases are increasing due to unhealthy behaviors such as poor diet, smoking, and physical inactivity. Disease forecasting platforms aid in managing non-communicable diseases by using big data analytics, machine learning, and real-time health monitoring to predict disease trends, identify high-risk groups, enable early interventions, and guide personalized prevention strategies. These efforts improve public health outcomes and reduce the burden of chronic illnesses. For example, the World Health Organization (WHO), a United Nations specialized agency based in Switzerland, reported that in 2022, 41 million deaths globally-74% of all deaths-were caused by chronic diseases. These included 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2.0 million from diabetes. This growing prevalence is fueling demand for disease forecasting platforms.

Key companies in this market are adopting artificial intelligence-driven predictive analytics to enable real-time disease surveillance and support proactive public health responses. AI-driven predictive analytics involves applying AI technologies such as machine learning and statistical modeling to forecast future disease patterns, detect anomalies early, and provide actionable insights for timely interventions and resource management. For instance, in July 2025, Seegene Inc., a biotechnology company based in South Korea, launched the STAgora platform. This platform integrates PCR-based diagnostic data with over 40 advanced AI and statistical tools to offer real-time global visualization of infectious disease trends. It supports early detection of abnormal pathogen activity, predictive outbreak modeling, and situational awareness from local to global levels. Designed as a real-time infectious disease intelligence system, STAgora enhances rapid situational awareness and enables proactive public health action.

In March 2024, Healthy Together, a US-based health technology company specializing in SaaS solutions, acquired Kinsa Health for an undisclosed sum. This acquisition enables Healthy Together to incorporate Kinsa Health's AI-powered illness forecasting technology into its SaaS offerings, strengthening real-time disease surveillance, expanding into new markets, and delivering early outbreak detection and predictive insights to public and private healthcare organizations. Kinsa Health, based in the US, provides AI-driven illness forecasting tools that use smart thermometers, mobile apps, and predictive analytics to offer real-time early warnings and track community-level infectious disease trends.

Major players in the disease forecasting platform market are International Business Machines Corporation, Oracle Corporation, Metabiota Inc., SAS Institute Inc., Tempus AI Inc., HealthVerity Inc., Airfinity Ltd., Quantori LLC, ProMED-mail Inc., EcoHealth Alliance Inc., BlueDot Inc., Hyfe Inc., Biobot Analytics Inc., Cayaba Care Inc., EPIWATCH Pty Ltd, GIDEON Informatics Inc., Kinsa Inc., Epistemix, Epidemico Inc., EpiDetect AI Inc.

North America was the largest region in the disease forecasting platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in disease forecasting platform report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the disease forecasting platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The disease forecasting platform market consists of revenues earned by entities by providing services such as data collection, data integration, predictive modeling, real-time monitoring, analytics and visualization. The market value includes the value of related goods sold by the service provider or included within the service offering. The disease forecasting platform market also includes sales of sensors, servers, data storage systems, networking equipment, edge devices, and monitoring devices. Values in this market are 'factory gate' values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Disease Forecasting Platform Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on disease forecasting platform market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
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  • Benchmark performance against key competitors.
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  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for disease forecasting platform ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The disease forecasting platform market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: Cloud-Based; On-Premises
  • 3) By Application: Infectious Disease Surveillance; Chronic Disease Management; Epidemiology; Public Health; Other Applications
  • 4) By End-User: Hospitals And Clinics; Government And Public Health Agencies; Research Institutes; Pharmaceutical Companies; Other End Users
  • Subsegments:
  • 1) By Software: Predictive Analytics Tools; Epidemiological Modeling Software; Artificial Intelligence And Machine Learning Algorithms; Data Visualization And Dashboard Tools; Cloud-Based Forecasting Platforms
  • 2) By Hardware: Internet of Things Enabled Medical Devices; Servers And Data Storage Systems; Networking And Connectivity Devices; Edge Computing Devices; Sensors And Monitoring Equipment
  • 3) By Services: Managed Services; Consulting And Integration Services; Training And Support Services; Data Management And Analytics Services; Public Health Advisory Or Forecasting Services
  • Companies Mentioned: International Business Machines Corporation; Oracle Corporation; Metabiota Inc.; SAS Institute Inc.; Tempus AI Inc.; HealthVerity Inc.; Airfinity Ltd.; Quantori LLC; ProMED-mail Inc.; EcoHealth Alliance Inc.; BlueDot Inc.; Hyfe Inc.; Biobot Analytics Inc.; Cayaba Care Inc.; EPIWATCH Pty Ltd; GIDEON Informatics Inc.; Kinsa Inc.; Epistemix; Epidemico Inc.; EpiDetect AI Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Disease Forecasting Platform Market Characteristics

3. Disease Forecasting Platform Market Trends And Strategies

4. Disease Forecasting Platform Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Disease Forecasting Platform Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Disease Forecasting Platform PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Disease Forecasting Platform Market Growth Rate Analysis
  • 5.4. Global Disease Forecasting Platform Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Disease Forecasting Platform Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Disease Forecasting Platform Total Addressable Market (TAM)

6. Disease Forecasting Platform Market Segmentation

  • 6.1. Global Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.3. Global Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Infectious Disease Surveillance
  • Chronic Disease Management
  • Epidemiology
  • Public Health
  • Other Applications
  • 6.4. Global Disease Forecasting Platform Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hospitals And Clinics
  • Government And Public Health Agencies
  • Research Institutes
  • Pharmaceutical Companies
  • Other End Users
  • 6.5. Global Disease Forecasting Platform Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics Tools
  • Epidemiological Modeling Software
  • Artificial Intelligence And Machine Learning Algorithms
  • Data Visualization And Dashboard Tools
  • Cloud-Based Forecasting Platforms
  • 6.6. Global Disease Forecasting Platform Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Internet of Things Enabled Medical Devices
  • Servers And Data Storage Systems
  • Networking And Connectivity Devices
  • Edge Computing Devices
  • Sensors And Monitoring Equipment
  • 6.7. Global Disease Forecasting Platform Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Managed Services
  • Consulting And Integration Services
  • Training And Support Services
  • Data Management And Analytics Services
  • Public Health Advisory Or Forecasting Services

7. Disease Forecasting Platform Market Regional And Country Analysis

  • 7.1. Global Disease Forecasting Platform Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Disease Forecasting Platform Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Disease Forecasting Platform Market

  • 8.1. Asia-Pacific Disease Forecasting Platform Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Disease Forecasting Platform Market

  • 9.1. China Disease Forecasting Platform Market Overview
  • 9.2. China Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Disease Forecasting Platform Market

  • 10.1. India Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Disease Forecasting Platform Market

  • 11.1. Japan Disease Forecasting Platform Market Overview
  • 11.2. Japan Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Disease Forecasting Platform Market

  • 12.1. Australia Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Disease Forecasting Platform Market

  • 13.1. Indonesia Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Disease Forecasting Platform Market

  • 14.1. South Korea Disease Forecasting Platform Market Overview
  • 14.2. South Korea Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Disease Forecasting Platform Market

  • 15.1. Western Europe Disease Forecasting Platform Market Overview
  • 15.2. Western Europe Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Disease Forecasting Platform Market

  • 16.1. UK Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Disease Forecasting Platform Market

  • 17.1. Germany Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Disease Forecasting Platform Market

  • 18.1. France Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Disease Forecasting Platform Market

  • 19.1. Italy Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Disease Forecasting Platform Market

  • 20.1. Spain Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Disease Forecasting Platform Market

  • 21.1. Eastern Europe Disease Forecasting Platform Market Overview
  • 21.2. Eastern Europe Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Disease Forecasting Platform Market

  • 22.1. Russia Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Disease Forecasting Platform Market

  • 23.1. North America Disease Forecasting Platform Market Overview
  • 23.2. North America Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Disease Forecasting Platform Market

  • 24.1. USA Disease Forecasting Platform Market Overview
  • 24.2. USA Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Disease Forecasting Platform Market

  • 25.1. Canada Disease Forecasting Platform Market Overview
  • 25.2. Canada Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Disease Forecasting Platform Market

  • 26.1. South America Disease Forecasting Platform Market Overview
  • 26.2. South America Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Disease Forecasting Platform Market

  • 27.1. Brazil Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Disease Forecasting Platform Market

  • 28.1. Middle East Disease Forecasting Platform Market Overview
  • 28.2. Middle East Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Disease Forecasting Platform Market

  • 29.1. Africa Disease Forecasting Platform Market Overview
  • 29.2. Africa Disease Forecasting Platform Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Disease Forecasting Platform Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Disease Forecasting Platform Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Disease Forecasting Platform Market Competitive Landscape And Company Profiles

  • 30.1. Disease Forecasting Platform Market Competitive Landscape
  • 30.2. Disease Forecasting Platform Market Company Profiles
    • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Metabiota Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Tempus AI Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Disease Forecasting Platform Market Other Major And Innovative Companies

  • 31.1. HealthVerity Inc.
  • 31.2. Airfinity Ltd.
  • 31.3. Quantori LLC
  • 31.4. ProMED-mail Inc.
  • 31.5. EcoHealth Alliance Inc.
  • 31.6. BlueDot Inc.
  • 31.7. Hyfe Inc.
  • 31.8. Biobot Analytics Inc.
  • 31.9. Cayaba Care Inc.
  • 31.10. EPIWATCH Pty Ltd
  • 31.11. GIDEON Informatics Inc.
  • 31.12. Kinsa Inc.
  • 31.13. Epistemix
  • 31.14. Epidemico Inc.
  • 31.15. EpiDetect AI Inc.

32. Global Disease Forecasting Platform Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Disease Forecasting Platform Market

34. Recent Developments In The Disease Forecasting Platform Market

35. Disease Forecasting Platform Market High Potential Countries, Segments and Strategies

  • 35.1 Disease Forecasting Platform Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Disease Forecasting Platform Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Disease Forecasting Platform Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer
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