As per Inkwood Research, the Global Artificial Intelligence (AI) in Epidemiology Market is estimated to progress at a CAGR of 27.33% in terms of revenue over the forecasting period of 2024-2032.
“Browse 45 Market Data Tables and 38 Figures spread over 219 Pages, along with an in-depth TOC on the Global Artificial Intelligence (AI) in Epidemiology Market Forecast 2024-2032.”
AI in epidemiology enhances disease surveillance, predicts outbreaks, and optimizes resource allocation, revolutionizing public health response with its data-driven insights and predictive capabilities. By analyzing vast datasets, AI aids in identifying patterns and risk factors, leading to more effective prevention and control strategies in epidemiological studies.
Growing Applications of Predictive Modeling Boosts Global Market Growth
Predictive modeling enables researchers to forecast disease trends, identify high-risk populations, and optimize interventions, thereby enhancing public health outcomes. With the exponential growth in healthcare data availability and advances in machine learning algorithms, AI-powered predictive models can analyze complex datasets more efficiently and accurately than traditional methods. This capability not only accelerates the pace of epidemiological research but also fosters collaborations between academia, healthcare institutions, and technology companies, driving further innovation and market expansion in AI for epidemiology.
Cloud-Based: Major Deployment by 2032
Cloud platforms democratize access to AI tools, enabling organizations to leverage sophisticated analytics without hefty investments in hardware or IT infrastructure. This accessibility facilitates the use of AI-driven epidemiological solutions by public health agencies, research institutions, and healthcare organizations to combat infectious diseases effectively.
North America to be the Key Region During the Projection Period
North America’s advanced healthcare infrastructure, including electronic health records (EHRs) and robust data systems, facilitates seamless integration of AI solutions. The Government Accountability Office (GAO) and the National Academy of Medicine (NAM) collaborate on assessing AI/ML’s impact in healthcare, driving strategies to maximize its use.
This initiative fuels advancements in AI within North America’s epidemiology market. Additionally, industry giants like Google, IBM, and Microsoft play significant roles in advancing AI solutions, including those in healthcare and epidemiology. In addition, some of the top players operating in the market are Cerner Corporation, Cognizant, eClinical Works Inc, etc.
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