Artificial Intelligence in Epidemiology Market Strategic

Source Domain: www.openpr.com

The global artificial intelligence (AI) in epidemiology market is expected to reach $6,687.83 million by 2035, growing at a CAGR of 27.4% from 2026 to 2035.
Driving factors include increasing demand for real-time disease monitoring and advancements in machine learning techniques.
Challenges include high initial costs, lack of expertise, and data privacy issues.
Opportunities involve more AI integration, increased research and development, and greater investments in digital health.
AI in epidemiology is transforming disease prediction and is supported by enhanced availability of health data and demand for real-time outbreak prediction.
North America dominates the market, with substantial market shares as of 2023.
Key players in the market include Cognizant Technology Solutions, Cerner Corporation, Epic Systems, Microsoft Corporation, and others.
Recent developments include partnerships and expansions involving Gilead Sciences, Zscaler, and Evidium utilizing AI-enabled technologies.

You may have missed