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The artificial intelligence in epidemiology market has seen exponential growth, reaching $0.52 billion in 2023 and projected to reach $0.67 billion in 2024, with a CAGR of 29.3%. It’s anticipated to further expand to $1.86 billion by 2028. Factors include big data utilization, globalization, and emerging pathogens. Foreseen trends involve data integration challenges and digital health adoption, along with technological advancements and real-time data sharing platforms.

The growing burden of chronic diseases is expected to drive the artificial intelligence in epidemiology market. Chronic diseases are responsible for a large number of deaths in the US, highlighting the need for AI solutions in epidemiology. Thus, the growing burden of chronic diseases propels the artificial intelligence in epidemiology market.

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What Are The Key Trends That Influence Artificial Intelligence In Epidemiology Market Share Analysis?

Specialized AI-driven technologies are increasingly prominent in the artificial intelligence in epidemiology market. Leading firms in this sector are dedicated to innovating technologies like AI-driven imaging platforms for disease management to maintain market leadership. For example, Twinn.health, a US-based company specializing in fitness and AI, introduced an AI-driven imaging platform in April 2023. This platform incorporates MRI data to assess frailty risk, enabling early detection and intervention for age-related diseases.

Which Market Players Are Driving Growth In The Artificial Intelligence In Epidemiology Market?

Major companies operating in the artificial intelligence in epidemiology  market report are Apple Inc., Alphabet Inc., Microsoft Corporation, Facebook Inc., Roche Holding AG, Pfizer Inc., Johnson & Johnson Services Inc., Amazon Web Services Inc., General Electric Company, Google LLC, Intel Corporation, IBM Corporation, Merck & Co. Inc., Novartis International AG, Sanofi S.A, Bristol Myers Squibb Company, AstraZeneca PLC, Oracle Corporation, GlaxoSmithKline plc, NVIDIA Corporation, Bayer Healthcare, Siemens Healthineers AG, Cogniant Technology Solutions Corporation, Koninklijke Philips N.V., SAS Institute Inc., Epic Systems Corporation, Cerner Corporation, eClinicalWorks LLC, Meditech, Komodo Health, Metabiota Inc.

How Is The Global Artificial Intelligence In Epidemiology Market Segmented?

The artificial intelligence in epidemiology market covered in this report is segmented –

1) By Component: Software, Services
2) By Deployment: Web-Based, Cloud-Based
3) By Application: Infection Prediction And Forecasting, Disease And Syndromic Surveillance
4) By End-Use: Government And State Agencies, Research Laboratories, Pharmaceutical And Biotechnology Companies, Healthcare Providers

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The Artificial Intelligence In Epidemiology Global Market Report 2024 provides an overview of the artificial intelligence in epidemiologymarket for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The artificial intelligence in epidemiology market forecast analyzes artificial intelligence in epidemiology market size, artificial intelligence in epidemiology market share, leading competitor and their market positions.

The Table Of Content For The Artificial Intelligence In Epidemiology Market Include

1. Artificial Intelligence In Epidemiology Market Executive Summary
2. Artificial Intelligence In Epidemiology Market Segments
3. Artificial Intelligence In Epidemiology Market Size And Template Market Growth Rate
4.  Key Artificial Intelligence In Epidemiology Market Trends
5. Major Artificial Intelligence In Epidemiology Market Drivers
……
25. Key Mergers And Acquisitions In The Artificial Intelligence In Epidemiology Market
26. Top Artificial Intelligence In Epidemiology Companies
27. Artificial Intelligence In Epidemiology Market Opportunities And Strategies
28. Artificial Intelligence In Epidemiology Market, Conclusions And Recommendations
29. Appendix

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