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Addressing The Chronic Disease Challenge Artificial Intelligence In Epidemiology: Pivotal Factor Influencing Artificial Intelligence In Epidemiology Market Growth in 2025
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.Artificial Intelligence In Epidemiology Market Size Growth Forecast: What to Expect by 2025?
In recent times, the market size of artificial intelligence in epidemiology has seen exponential growth. The market which was valued at $0.66 billion in 2024, is expected to increase to $0.84 billion in 2025, reflecting a compound annual growth rate (CAGR) of 28.0%. This significant growth during the historic period has been due to the advent of big data, increased globalization and travel, the requirement for public health surveillance, challenges associated with outbreak response, and the rise of novel pathogens.
How Will the Artificial Intelligence In Epidemiology Market Size Evolve and Grow by 2029?
Projections suggest significant surge in the market of artificial intelligence in epidemiology in the coming years. The market is predicted to escalate to a valuation of $2.48 billion by 2029, growing at a compound annual growth rate (CAGR) of 31.0%. The anticipated market growth in the upcoming period can be ascribed to issues related to data integration, rising population, augmented focus on global health security, adoption of digital health, implementation of a one health strategy, and enhanced digital contact tracing. Notable trends expected to influence the market during the forecasting period involve progress in computational capabilities, technological advancements in data capture, strategic partnerships with tech companies, development of platforms sharing real-time data, improvements in AI algorithms, developments in remote sensing technologies, and utilization of blockchain for ensuring the security of epidemiological data.
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What Drivers Are Propelling the Growth of Artificial Intelligence In Epidemiology Market Forward?
The escalating prevalence of chronic illnesses is anticipated to fuel the expansion of artificial intelligence within the epidemiology market. Chronic diseases represent medical conditions that have enduring or long-term effects, often continuing for three months or more, and could potentially worsen over time. AI holds importance in multifaceted aspects of chronic disease epidemiology, such as risk forecasting, modelling disease evolution, early detection, and diagnosis. For instance, in May 2023, The United Nations (UN), an American intergovernmental organization devoted to fostering international cooperation and preserving international peace and security, reported that seven out of 10 US fatalities are due to chronic illnesses, causing over 1.7 million American deaths annually. As such, the escalating prevalence of chronic diseases is anticipated to fuel the expansion of artificial intelligence within the epidemiology market.
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Which Emerging Trends Are Transforming the Artificial Intelligence In Epidemiology Market in 2025?
The growing trend in the field of artificial intelligence in epidemiology is the use of specialized AI technologies for disease management. Key players within this market are focusing on the development of groundbreaking technologies, such as AI-powered imaging platforms, to maintain their competitive edge. Take for example Twinn.health, a US-based company specializing in AI, machine learning, and fitness, which unveiled an AI-based imaging platform in April 2023 for the early prediction of aging diseases. This platform, a first of its kind, uses MRI data for assessing frailty risk. It surpasses conventional molecular signals at detecting age-related chronic illnesses early on, making it a powerful tool for managing these diseases from an early stage.
What Are the Key Segments in the Artificial Intelligence In Epidemiology Market?
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
Subsegments:
1) By Software: Data Analytics Platforms, Predictive Modeling Tools, Geographic Information Systems (GIS), Surveillance Systems, Reporting And Visualization Tools
2) By Services: Consulting Services, Implementation And Integration Services, Data Management And Support Services, Training And Capacity Building Services
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Who Are the Key Players Shaping the Artificial Intelligence In Epidemiology Market's Competitive Landscape?
Major companies operating in the artificial intelligence in epidemiology market include 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.
What Geographic Markets Are Powering Growth in the Artificial Intelligence In Epidemiology Market?
North America was the largest region in the artificial intelligence in epidemiology market in 2024. 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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