DUBLIN, May 02, 2023 (GLOBE NEWSWIRE) — “AI in Epidemiology: Global Market Outlook” Report Added of ResearchAndMarkets.com Recruitment.
This report segments the market based on deployment type, application, end user, and region. This report provides an overview of the global market for AI in epidemiology, analyzes market trends, and provides revenue forecasts. With 2021 as the base year, the report provides estimated market data for the forecast period 2022-2027. Market value is estimated based on total AI revenue in epidemiology providers.
The report also highlights key trends and challenges impacting the market and vendor landscape. The scope of this research includes software and platforms supporting the ML tools needed for AI in epidemiology.
Epidemiology is a field focused on identifying the causative factors of health conditions and diseases within specific populations. Our primary concern is the community, not the individual patient. Epidemiological studies are scientifically based, rely on data analysis, and aim to investigate various health-related outbreaks in defined populations.
Artificial intelligence (AI) is the machine performance of tasks commonly associated with human intelligence. Machine learning (ML) is a subset of AI and refers to the ability of computers to draw conclusions from data without being explicitly programmed. ML is of great interest in medical epidemiology because of its potential to improve disease prediction and patient care.
ML tools support healthcare decision-making at the four stages of hospital-based care: triage, diagnosis, treatment, and discharge. Examples include model-building efforts to aid emergency department triage, prediction of time to septic shock, pneumonia detection, and classification of COVID-19 disposal risk levels. ML to improve patient safety and clinical management efficiency and reduce healthcare costs.
In this report, the global market for AI in epidemiology is segmented based on deployment type, application, end user, and geographical region. Based on deployment type, the market is segmented into cloud and on-premises. Based on application, the market is segmented into disease and syndrome monitoring, population health and incidence/prevalence monitoring, and infection prediction and forecasting. By region, the market is segmented into North America, Europe, Asia-Pacific, and the rest of the world (RoW). North America is currently the leading regional market for AI in epidemiology, but is expected to be overtaken by Asia Pacific by the end of 2027.
What is included in the report
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An overview of the global market for artificial intelligence (AI) in epidemiological therapy
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Analysis of global market trends, including 2021 market revenues, 2022 estimates, 2023 and 2025 forecasts, and compound annual growth rate (CAGR) forecasts to 2027
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An understanding of the future market potential of AI in epidemiological disease treatment, with an emphasis on new and effective disease prevention and treatment strategies, and the focus areas to forecast this market into various segments and sub-segments.
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Estimation of actual market size and revenue forecast for AI in epidemiology market and corresponding market share analysis based on deployment type, application, end user and region
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Discussion of market opportunities and gaps to estimate the demand for AI in epidemiology, technology adaptation, industry regulation, future outlook, and the impact of COVID-19 on this market
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Identification of companies best positioned to meet this demand due to or in conjunction with unique technologies, product launches and other strategic advantages
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Company Profiles of Key Global Players
Main topics:
Chapter 1 Market Outlook
Chapter 2 Executive Summary
Chapter 3 Market Overview
Chapter 4 Market Opportunities
4.1 Market Opportunities
4.1.1 Development of new vaccines using genomic data
4.1.2 Use of Ai in clinical research
Chapter 5 Market Breakdown by Deployment Types, Applications and End Users
5.1 AI in Epidemiology Market, By Deployment Type
5.1.1 On-premise
5.1.2 Cloud
5.2 AI Market in Epidemiology, By Application
5.2.1 Prediction and prediction of infection
5.2.2 Surveillance of diseases and syndromes
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 Laboratories
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 Other countries
Chapter 7 Company Profile
Chapter 8 Project Scope and Methodology
8.1 Scope of report
8.2 Survey method
8.3 Analyst Qualifications
8.4 Related research reports
companies mentioned
For more information on this report, please visit https://www.researchandmarkets.com/r/38yftr.
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