Artificial intelligence in epidemiology refers to applying artificial intelligence (AI) techniques and tools to enhance and optimize epidemiological research and public health interventions. AI epidemiology assists in analyzing large datasets, identifying patterns and trends, supporting decision-making processes, and predicting disease outbreaks for disease prevention, monitoring, and control.
Sizing and Forecast
The artificial intelligence in epidemiology market size has grown exponentially in recent years. It will grow from $0.52 billion in 2023 to $0.67 billion in 2024 at a compound annual growth rate (CAGR) of 29.3%. The growth in the historic period can be attributed to emergence of big data, globalization and travel, public health surveillance needs, outbreak response challenges, emergence of novel pathogens.
The artificial intelligence in epidemiology market size is expected to see exponential growth in the next few years. It will grow to $1.86 billion in 2028 at a compound annual growth rate (CAGR) of 29.2%. The growth in the forecast period can be attributed to data integration challenges, population growth, global health security investments, digital health adoption, one health approach, digital contact tracing. Major trends in the forecast period include advancements in computational power, technological innovations in data collection, collaboration with technology companies, real-time data sharing platforms, advancements in ai algorithms, advancements in remote sensing technologies, blockchain for epidemiological data security.
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Segmentation & Regional Insights
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
North America was the largest region in the artificial intelligence in epidemiology market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in epidemiology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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Major Driver Impacting Market Growth
The growing burden of chronic diseases is expected to propel the growth of artificial intelligence in the epidemiology market going forward. Chronic disease refers to a health condition or disease that is persistent or long-lasting in its effects, usually lasting for three months or longer, and may get worse over time. AI plays a significant role in various aspects of chronic disease epidemiology, including risk prediction, disease progression modeling, early detection, and diagnosis. For instance, in May 2023, according to The United Nations (UN), a US-based intergovernmental organization to promote international cooperation and maintain international peace and security, Chronic diseases are responsible for seven out of 10 deaths in the US, killing more than 1.7 million Americans each year. Therefore, the growing burden of chronic diseases is expected to propel the growth of artificial intelligence in the epidemiology market.
Key Industry Players
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.
The artificial intelligence in epidemiology market report table of contents includes:
1. Executive Summary
2. Market Characteristics
3. Market Trends And Strategies
4. Impact Of COVID-19
5. Market Size And Growth
6. Segmentation
7. Regional And Country Analysis
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27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
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