AI in Epidemiology Market size to exceed $3bn by 2030

Artificial Intelligence in Epidemiology Market size is anticipated to surpass USD 3 billion by 2030, as per a latest research report published by Global Market Insights Inc.
 

Rising emphasis on delivering quality care as a key factor boosting the demand for artificial intelligence in epidemiology applications. Major issues across the healthcare system, including increasing costs and misdiagnoses, can be alleviated with the use of AI. It can ensure the optimization of redundant and regular tasks, integration of complex algorithms to design an accurate estimation and forecast mechanism, and monitoring of disease or infection progression.
 

In addition, the technology can help healthcare professionals optimize productivity, improve the management of healthcare systems, and advance their tasks, even during health emergencies. The COVID-19 outbreak, for example, cemented the use of AI in epidemiology to provide timely and quality healthcare services. The report also claims that automated tools can shorten the time to diagnose and triage medical cases effectively, contributing to the popularity of AI in epidemiological studies.
 

Cloud-based software to gain popularity for epidemiological surveillance applications

AI in Epidemiology Market from cloud-based segment accounted for over 85% business share in 2021, due to rapid technological innovations. In capital-intensive environments, cloud-based software can be used to improve operational efficiency and cost-effectiveness for healthcare stakeholders. Economic benefits, quality control and security are a few of the key benefits of cloud solutions. Such advantages will boost the usage of artificial intelligence in epidemiology through cloud-based platforms.
 

Browse key industry insights spread across 195 pages with 181 market data tables & 17 figures & charts from the report, “Artificial Intelligence in Epidemiology Market Analysis By Deployment (On-premise, Web-based, Cloud-based), Application (Infection Prediction & Forecasting, Disease & Syndromic Surveillance, Monitoring Population Health & Incidence/Prevalence), End-use (Government & State Agencies, Research Labs, Pharmaceutical & Biotechnology Companies, Healthcare Providers), Industry Analysis Report, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2022 – 2030”, in detail along with the table of contents:
https://www.gminsights.com/industry-analysis/artificial-intelligence-in-epidemiology-market
 

Development of AI powered models for infection prediction and forecasting

AI in epidemiology market share from the infection prediction and forecasting application segment is set to depict a CAGR of over 27.5% through 2022-2030 owing to increasing reliance on AI for COVID-19 forecasting. In 2022, researchers at Harvard Medical School, Massachusetts General Hospital, and a member of the Broad Institute of MIT and Harvard developed an AI model. This model, called PyR₀, was intended to predict the emergence of dominant coronavirus variants and possible infection surges.
 

AI gains popularity among government and state agencies for epidemiological research

AI in epidemiology market from the government & state agencies segment is projected to surpass USD 559 million by 2030. This can be credited to the rising adoption of advanced predictive analytics and AI-based platforms by the Centers for Disease Control and Prevention, the National Health Service, and other federal agencies in North America. These platforms were designed to ensure effective disease surveillance, accurate prediction mechanism, and disease pattern study. The benefits offered by the platforms will encourage state and government agencies to deploy artificial intelligence in epidemiology labs.
 

APAC to emerge as a lucrative revenue pocket for healthcare AI companies

Asia Pacific artificial intelligence in epidemiology market value is slated to depict a CAGR of over 30% through 2030, driven by the rising prevalence of chronic diseases. In the Southeast Asian region, chronic respiratory and other non-communicable diseases (NCDs) have been posing a major health concern. The growing disease burden will therefore urge chronic disease epidemiologists to utilize AI to improve diagnosis and prevention, in turn bolstering the regional market outlook.
 

Merger and acquisition strategies by key players to define the competitive landscape

Cognizant Technology Solutions Corporation, Cerner Corporation (Oracle), Epic Systems Corporation, Alphabet Inc., Komodo Health, Microsoft Corporation, Meditech, and SAS Institute, Inc. are among the key companies profiled in the report.