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Artificial Intelligence in Epidemiology Market size was valued at USD 310 million in 2021 and is set to exhibit a CAGR of more than 27% from 2022 to 2030. This growth is a result of the surge in healthcare expenditures fueling the integration of AI and other optimization technologies in epidemiology.
A steady increase in healthcare costs and premiums continues to pose challenges for government organizations worldwide. Many constituents are facing higher out-of-pocket expenses and premiums as a result of this increase. In order to address such issues, artificial intelligence is being deployed to help curb overhead costs through the automation of processes and tasks. The requirement for lowering incremental healthcare costs will thus stimulate the demand for AI in epidemiology, to help reduce supply expenditures.
Report Attribute | Details |
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Base Year: | 2021 |
Artificial Intelligence in Epidemiology Market Size in 2021: | 313 million (USD) |
Forecast Period: | 2022 to 2030 |
Forecast Period 2022 to 2030 CAGR: | 27% |
2030 Value Projection: | 3 billion (USD) |
Historical Data for: | 2017 to 2021 |
No. of Pages: | 195 |
Tables, Charts & Figures: | 198 |
Segments covered: | Deployment, Application, End-use, and Region. |
Growth Drivers: |
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Pitfalls & Challenges: |
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Artificial intelligence technology is deployed to analyze large amounts of patient data. The technology can allow healthcare providers to ensure seamless health service management, disease diagnosis, and care delivery. However, this data contains sensitive personal information, increasing the risks of theft and security breaches. The rising susceptibility to data breaches may pose concerns regarding the use of AI-powered health solutions and in turn, assert a negative influence on the artificial intelligence in epidemiology market dynamics.