Product Code: IFT277A
Highlights:
This report presents an in-depth assessment of the global market outlook of the AI in epidemiology. The scope of the study includes the software and platforms that support ML tools needed for AI in epidemiology. It examines new and emerging market trends and opportunities, and an assessment of the macroeconomic factors affecting the AI in epidemiology market. The report also highlights major trends and challenges that affect the market and the vendor landscape. The report concludes with the company profiles of leading market participants and their offerings.
Report Scope:
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
Chapter 2 Executive Summary
Chapter 3 Market Overview
- 3.1 Overview
- 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 BCC Research Reports