Artificial Intelligence In Epidemiology Market Growing Demand, Top Trends, Key Drivers, Companies And Forecast To 2033

The Business Research Company has updated its global market reports, featuring the latest data for 2024 and projections up to 2033

The Business Research Company offers in-depth market insights through Artificial Intelligence In Epidemiology Global Market Report 2024, providing businesses with a competitive advantage by thoroughly analyzing the market structure, including estimates for numerous segments and sub-segments.

Market Size And Growth 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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Market Segmentation:
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

Major Driver - 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.

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Top Trend - 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.

The Table Of Content For The Market Report Include:
1. Executive Summary
2. Artificial Intelligence In Epidemiology Market Characteristics
3. Artificial Intelligence In Epidemiology Market Trends And Strategies
4. Artificial Intelligence In Epidemiology Market - Macro Economic Scenario
5. Artificial Intelligence In Epidemiology Market Size And Growth
…..
27. Artificial Intelligence In Epidemiology Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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