Press release
Artificial Intelligence in Epidemiology Market 2024-2033: Trends, Analysis & Forecast Outlook
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.
Market Overview -
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.
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Addressing The Chronic Disease Challenge Artificial Intelligence In Epidemiology
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.
Competitive Landscape -
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.
Innovative Ai-Driven Imaging Platforms Transforming Disease Management In Epidemiology
Specialized AI-based technologies in disease management are a key trend gaining popularity in the artificial intelligence in epidemiology market. Major companies operating in the artificial intelligence in epidemiology market are concentrating on creating innovative technologies, such as AI-driven imaging platforms for disease management, to sustain their position in the market. For instance, in April 2023, Twinn.health, a US-based company engaged in fitness, AI, and machine learning, launched an AI-driven imaging platform for the early detection of age-related diseases. The new platform is the first to incorporate magnetic resonance imaging (MRI) data for the risk evaluation of frailty. It is a potent tool for early intervention and prevention since it detects chronic age-related disorders earlier than conventional molecular signals and helps manage these conditions at an early stage.
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Key Segments -
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
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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