AI in Epidemiology Market to Hit $3 Billion by 2030, According to Global Market Insights Inc.

AI in Epidemiology Market to Hit $3 Billion by 2030, According to Global Market Insights Inc.

Selbyville, Delaware, Oct. 10, 2022 (GLOBE NEWSWIRE) —

Artificial intelligence in epidemiology market value is expected to reach $3 billion by 2030, according to a new research report from Global Market Insights Inc.

Growing awareness of the role of technologies in the diagnosis and monitoring of chronic diseases will be an important factor driving the advancement of the use of AI in epidemiology. The increase in research and development activities in the field of health will therefore stimulate the demand for the deployment of artificial intelligence in epidemiology laboratories.

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The AI ​​in Cloud Based Segment Epidemiology Market is expected to register a lucrative CAGR in the coming years. The adoption of digital solutions in the healthcare sector, especially during the COVID-19 pandemic, has increased significantly. Cloud technology, in particular, has become a potential game-changer for digital health. This can create a solid foundation for the growth of AI applications in epidemiology.

The infection prediction and forecasting segment accounted for more than 38% business share in 2021, given the increase in funding programs for health research projects. In August 2022, the US National Science Foundation invested over $7.5 million to facilitate new research. This research would focus on reliably predicting the spread of infectious diseases, the outcomes of mitigation measures, and other aspects of national health crises.

Browse key industry information spread over 195 pages with 181 market data tables and 17 report figures and graphs, “Artificial Intelligence in Epidemiology Market Analysis by Deployment (On-Premise, Web-Based, Cloud-Based), Application (Infection Prediction and Forecasting, Disease and Syndrome Surveillance, Health Monitoring population and incidence/prevalence), end use (government and state agencies, research laboratories, pharmaceutical and biotech companies, healthcare providers), industry analysis report, regional outlook, growth potential, price trends , competitive market share and forecast, 2022-2030β€œ, in detail with the table of contents:

https://www.gminsights.com/industry-analysis/artificial-intelligence-in-epidemiology-market

AI in Pharmaceutical & Biotech Segment Epidemiology Market is poised to represent a CAGR of over 27% through 2022-2030. The widespread use and scope of AI in drug development and discovery activities is a driving factor. Investments by pharmaceutical and biotechnology companies in research and development have also increased. This investment interest is driving the use of AI solutions to monitor syndromic disease progression.

The European market for AI in epidemiology is expected to surpass $780 million by 2030. Key growth factors include favorable legislative and policy proposals, as well as increasing adoption of AI technology in the management of public health. The steady increase in healthcare expenditure will thus boost the popularity of AI in disease epidemiology in the region.

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The strategic landscape of AI in epidemiology market includes players such as Cognizant Technology Solutions Corporation, Cerner Corporation (Oracle), eClinicalWorks LLC, Alphabet Inc., Komodo Health, Microsoft Corporation, and SAS Institute, among others. These companies focus on collaborative developments and other initiatives.

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About Global Market Insights

Global Market Insights Inc., headquartered in Delaware, USA, is a global provider of market research and advisory services, offering syndicated and custom research reports as well as consulting services. growth. Our business intelligence and industry research reports provide clients with in-depth insights and actionable market data specially designed and presented to aid in strategic decision-making. These comprehensive reports are designed through proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.


        

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