← 產業報告目錄
Artificial Intelligence in Epidemiology Market Size, Share & Trends Analysis Report By Deployment (Web-Based, Cloud-Based), By Application (Infection Prediction and Forecasting, Disease and Syndromic Surveillance), By End-Use, By Region, And by Segment Forecasts, 2025-2034
出版商 InsightAce Analytic產業別 ICT & Media出版日期 2026-02-23頁數 180報告編號 INSIGHTACE-aadb8aca97
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| Single User PDF | $4,500 USD |
| Global Site License PDF | $9,500 USD |
報告摘要
A CAGR of 27.4% is forecasted for the global Artificial Intelligence in Epidemiology Market over the assessment period of 2025 through 2034.
At its core, Artificial Intelligence in Epidemiology pertains to key industry insights & findings from the report:
Artificial intelligence enables us to efficiently process and analyze large and complex data sets, including electronic health records, genomic data,. Stakeholders across the technology and communications landscape are mountingly turning to these solutions to meet contemporary demands.
The market's upward path is bolstered by mounting healthcare spending, technological evolution, and the mounting focus on personalized and precision-based approaches in technology and communications.
From a segmentation standpoint, the market is categorized across multiple dimensions including product type, application, end-user, and geography, each exhibiting distinct growth patterns and opportunities.
From a regional perspective, mature markets in North America and Europe continue to hold meaningful shares, while the Asia-Pacific region is gaining momentum through accelerated economic development and mounting investment in the sector.
The competitive arena features a mix of established conglomerates and agile innovators, each vying for market position through strategic acquisitions, product launches, and capacity expansion.
Through rigorous analysis of market trends, growth catalysts, restraints, and opportunities, this study offers valuable perspectives for companies, investors, and policymakers navigating this evolving landscape.
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence In Epidemiology Market Snapshot
Chapter 4. Global Artificial Intelligence In Epidemiology Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter's Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Deployment Type Estimates & Trend Analysis
5.1. by Deployment Type & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Deployment Type:
5.2.1. On-premise
5.2.2. Cloud-based
5.2.3. Web-based
Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
6.2.1. Infection Prediction and Forecasting
6.2.2. Disease and Syndromic Surveillance
Chapter 7. Market Segmentation 3: by End-use Estimates & Trend Analysis
7.1. by End-use & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-use:
7.2.1. Government and State Agencies
7.2.2. Research Labs
7.2.3. Pharmaceutical and Biotechnology Companies
7.2.4. Healthcare Providers
Chapter 8. Artificial Intelligence In Epidemiology Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America Artificial Intelligence In Epidemiology Market Revenue (US$ Million) Estimates and Forecasts by Deployment Type, 2021-2034
8.1.2. North America Artificial Intelligence In Epidemiology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.1.3. North America Artificial Intelligence In Epidemiology Market revenue (US$ Million) by End-use, 2021-2034
8.1.4. North America Artificial Intelligence In Epidemiology Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.2. Europe
8.2.1. Europe Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Deployment Type, 2021-2034
8.2.2. Europe Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Application, 2021-2034
8.2.3. Europe Artificial Intelligence In Epidemiology Market revenue (US$ Million) by End-use, 2021-2034
8.2.4. Europe Artificial Intelligence In Epidemiology Market revenue (US$ Million) by country, 2021-2034
8.3. Asia Pacific
8.3.1. Asia Pacific Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Deployment Type, 2021-2034
8.3.2. Asia Pacific Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Application, 2021-2034
8.3.3. Asia-Pacific Artificial Intelligence In Epidemiology Market revenue (US$ Million) by End-use, 2021-2034
8.3.4. Asia Pacific Artificial Intelligence In Epidemiology Market revenue (US$ Million) by country, 2021-2034
8.4. Latin America
8.4.1. Latin America Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Deployment Type, 2021-2034
8.4.2. Latin America Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Application, 2021-2034
8.4.3. Latin America Artificial Intelligence In Epidemiology Market revenue (US$ Million) by End-use, 2021-2034
8.4.4. Latin America Artificial Intelligence In Epidemiology Market revenue (US$ Million) by country, 2021-2034
8.5. Middle East & Africa
8.5.1. Middle East & Africa Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Deployment Type, 2021-2034
8.5.2. Middle East & Africa Artificial Intelligence In Epidemiology Market revenue (US$ Million) by Application, 2021-2034
8.5.3. Middle East & Africa Artificial Intelligence In Epidemiology Market revenue (US$ Million) by End-use, 2021-2034
8.5.4. Middle East & Africa Artificial Intelligence In Epidemiology Market revenue (US$ Million) by country, 2021-2034
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Cognizant Technology Solutions Corporation
9.2.2. Cerner Corporation (Oracle)
9.2.3. Epic Systems Corporation
9.2.4. eClinicalWorks LLC
9.2.5. Alphabet Inc.
9.2.6. Komodo Health
9.2.7. Microsoft Corporation
9.2.8. Meditech
9.2.9. Predixion Software
9.2.10. Siemens Healthineers AG
9.2.11. Intel Corporation
9.2.12. Bayer Healthcare
9.2.13. Artificial Intelligence for Medical Epidemiology (AIME)
9.2.14. Cardiolyse
9.2.15. SAS Institute, Inc.
9.2.16. Other Prominent Players
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