In this report, the market has been segmented based on deployment type, application, end user and region. The report provides an overview of the global market for AI in epidemiology while analyzing market trends and providing revenue forecasts. Using 2021 as the base year, the report provides estimated market data for the forecast period of 2022-2027. Market values have been estimated based on the total revenue of AI in epidemiology providers.
The report also highlights major trends and challenges that affect the market and the vendor landscape. The scope of the study includes the software and platforms that support ML tools needed for AI in epidemiology.
Report Includes
- A brief general outlook of the global market for artificial intelligence (AI) in epidemiology treatment
- Analyses of the global market trends, with market revenue for 2021, estimates for 2022, forecasts for 2023 and 2025, and projections of compound annual growth rates (CAGRs) through 2027
- Understanding of the upcoming market potential for AI in epidemiology disease treatment with an emphasis on new effective disease prevention and treatment strategies, and areas of focus to forecast this market into various segments and sub-segments
- Estimation of the actual market size and revenue forecast for the AI in epidemiology market, and corresponding market share analysis based on deployment type, application, end user, and region
- Discussion of the market opportunities and gaps estimating the demand for AI in epidemiology, technology adaptations, industry regulations, future outlook, and COVID-19 impact on this market
- Identification of the companies best positioned to meet this demand owing to or in conjunction with their proprietary technologies, product launches, and other strategic advantages
- Company profiles of the leading global players
Table of Contents
Chapter 1 Market Outlook
1.1 Market Snapshot
Chapter 2 Executive Summary
Chapter 3 Market Overview
3.1 Overview
3.1.1 Use Case Analysis
3.2 Market Dynamics
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Challenges
3.3 Macroeconomic Factors of the Ai in Epidemiology Market
3.3.1 Impact of Covid-19 on the Market
Chapter 4 Market Opportunities
4.1 Market Opportunities
4.1.1 Developing New Vaccines Using Genomic Data
4.1.2 Use of Ai in Clinical Research
Chapter 5 Market Breakdown by Deployment Type, Application and End-user
5.1 Ai in Epidemiology Market, by Deployment Type
5.1.1 On-Premise
5.1.2 Cloud
5.2 Ai in Epidemiology Market, by Application
5.2.1 Infection Prediction and Forecasting
5.2.2 Disease and Syndromic Surveillance
5.2.3 Monitoring Population Health and Incidence/Prevalence
5.3 Ai in Epidemiology Market, by End-user
5.3.1 Government and State Agencies
5.3.2 Research Labs
5.3.3 Healthcare Providers
Chapter 6 Market Breakdown by Region
6.1 Overview
6.2 North America
6.3 Europe
6.4 Asia-Pacific
6.5 Rest of the World
Chapter 7 Company Profiles
- Cerner Enviza (Oracle Corp.)
- Eclinicalworks
- Epic Systems Corp.
- Google Cloud
- Ibm Corp.
- Medical Information Technology Inc. (Meditech)
- Orion Health
- Saama Technologies Inc.
- Sas Institute Inc.
Chapter 8 Project Scope and Methodology
8.1 Scope of Report
8.2 Research Methodology
8.3 Analyst's Credentials
8.4 Related Research Reports
List of Tables
Summary Table: Global Market for AI in Epidemiology, by Region, Through 2027
Table 1: Global Market for AI in Epidemiology, by Deployment Type, Through 2027
Table 2: Global Market for AI in Epidemiology, by Application, Through 2027
Table 3: Global Market for AI in Epidemiology, by End User, Through 2027
Table 4: Global Market for AI in Epidemiology, by Region, Through 2027
Table 5: North American Market for AI in Epidemiology, by Deployment Type, Through 2027
Table 6: North American Market for AI in Epidemiology, by Application, Through 2027
Table 7: North American Market for AI in Epidemiology, by End User, Through 2027
Table 8: European Market for AI in Epidemiology, by Deployment Type, Through 2027
Table 9: European Market for AI in Epidemiology, by Application, Through 2027
Table 10: European Market for AI in Epidemiology, by End User, Through 2027
Table 11: Asia-Pacific Market for AI in Epidemiology, by Deployment Type, Through 2027
Table 12: Asia-Pacific Market for AI in Epidemiology, by Application, Through 2027
Table 13: Asia-Pacific Market for AI in Epidemiology, by End User, Through 2027
Table 14: RoW Market for AI in Epidemiology, by Deployment Type, Through 2027
Table 15: RoW Market for AI in Epidemiology, by Application, Through 2027
Table 16: RoW Market for AI in Epidemiology, by End User, Through 2027
Table 17: Cerner Enviza (Oracle Corp.): Product Offerings
Table 18: eClinicalWorks: Product Offering
Table 19: Epic Systems Corp.: Product Offering
Table 20: Google Cloud: Product Offering
Table 21: IBM Corp.: Product Offering
Table 22: Medical Information Technology Inc. (Meditech): Product Offering
Table 23: Orion Health: Product Offering
Table 24: Saama Technologies Inc.: Product Offering
Table 25: SAS Institute Inc.: Product Offering
List of Figures
Summary Figure: Share of the Global Market for AI in Epidemiology, by Region, 2021
Figure 1: History and Evolution of Vaccine Development, 1976-2020
Figure 2: Share of the Global Market for AI in Epidemiology, by Deployment Type, 2021
Figure 3: Share of the Global Market for AI in Epidemiology, by Application, 2021
Figure 4: Share of the Global Market for AI in Epidemiology, by End User, 2021
Figure 5: Share of the Global Market for AI in Epidemiology, by Region, 2021
Figure 6: Share of the North American Market for AI in Epidemiology, by Deployment Type, 2021
Figure 7: Share of the North American Market for AI in Epidemiology, by Application, 2021
Figure 8: Share of the North American Market for AI in Epidemiology, by End User, 2021
Figure 9: Share of the European Market for AI in Epidemiology, by Deployment Type, 2021
Figure 10: Share of the European Market for AI in Epidemiology, by Application, 2021
Figure 11: Share of the European Market for AI in Epidemiology, by End User, 2021
Figure 12: Share of the Asia-Pacific Market for AI in Epidemiology, by Deployment Type, 2021
Figure 13: Share of the Asia-Pacific Market for AI in Epidemiology, by Application, 2021
Figure 14: Share of the Asia-Pacific Market for AI in Epidemiology, by End User, 2021
Figure 15: Share of the RoW Market for AI in Epidemiology, by Deployment Type, 2021
Figure 16: Share of the RoW Market for AI in Epidemiology, by Application, 2021
Figure 17: Share of the RoW Market for AI in Epidemiology, by End User, 2021
Figure 18: Methodology Steps Adopted for the Global AI in Epidemiology Market
Executive Summary
Epidemiology is a field that focuses on identifying the factors responsible for health conditions and diseases within a given population. It considers the community as the primary concern, rather than individual patients. Epidemiological research is based on scientific methods, relies on data analysis and aims to investigate various health-related occurrences in defined populations.
Artificial intelligence (AI) is the performance by machines of tasks that are generally associated with human intelligence. Machine learning (ML) is a subset of AI that refers to the ability of computers to draw conclusions from data without being explicitly programmed to do so. Due to its potential to improve the prediction of disease and patient care, ML has sparked significant interest in healthcare epidemiology.
ML tools support healthcare decision-making at four stages of hospital-based care: triage, diagnosis, treatment and discharge. Examples include model-building efforts to aid emergency department triage, predict time before septic shock onset, detect pneumonia, and classify COVID-19 disposition risk levels Increasing the availability and quality of electronic health record (EHR) data and computing power opens up opportunities for ML to improve patient safety and clinical management efficiency, and reduce healthcare costs.
In this report, the global market for AI in epidemiology has been segmented based on deployment type, application, end user and geographic region. Based on deployment type, the market has been categorized into cloud and on-premise. Based on application, the market is categorized into disease and syndromic surveillance, monitoring population health and incidence/prevalence, infection prediction and forecasting. By region, the market has been segmented into North America, Europe, Asia-Pacific, and the Rest of the World (RoW). The North American region currently is the leading regional market for AI in epidemiology, but by the end of 2027, Asia-Pacific is expected to overtake it.
Companies Mentioned
- Cerner Enviza (Oracle Corp.)
- Eclinicalworks
- Epic Systems Corp.
- Google Cloud
- Ibm Corp.
- Medical Information Technology Inc. (Meditech)
- Orion Health
- Saama Technologies Inc.
- SAS Institute Inc.
