Global Artificial Intelligence in Epidemiology Market to Reach $1.43 Billion by 2027, Reflecting a Strong CAGR of 28.8%
Artificial Intelligence In Epidemiology Global Market Report 2023 – Market Size, Trends, And Global Forecast 2023-2032
The Business Research Company’s Artificial Intelligence In Epidemiology Global Market Report 2023 – Market Size, Trends, And Global Forecast 2023-2032
— The Business Research Company
LANDON, GREATER LANDON, UK, October 27, 2023 /EINPresswire.com/ — The global artificial intelligence in epidemiology market is on a robust growth trajectory, expected to surge from $0.4 billion in 2022 to $1.43 billion in 2027, demonstrating a notable compound annual growth rate (CAGR) of 28.8%. Despite the significant disruptions caused by the Russia-Ukraine war and the prevailing challenges of the COVID-19 pandemic, the integration of AI in epidemiology is playing a pivotal role in disease surveillance, infection prediction, and bolstering healthcare management strategies.
Driving Forces: Addressing the Burden of Chronic Diseases
The mounting burden of chronic diseases is propelling the adoption of artificial intelligence in epidemiology, fostering advanced risk prediction models, disease progression tracking, and early detection mechanisms. Leveraging AI-driven solutions, the market is set to revolutionize disease management strategies, contributing significantly to proactive healthcare interventions and comprehensive disease surveillance.
Market Segments and Key Players
• Component: Software, Services
• Deployment: Web-Based, Cloud-Based
• Application: Infection Prediction And Forecasting, Disease And Syndromic Surveillance
• End-Use: Government And State Agencies, Research Laboratories, Pharmaceutical And Biotechnology Companies, Healthcare Providers
Key players, including Apple Inc., Alphabet Inc., and Microsoft Corporation, are spearheading the market, revolutionizing disease management with AI-driven imaging platforms and customized digital coaching solutions.
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Innovative Strides: AI-Driven Disease Management Solutions
A prominent trend in the market is the development of AI-driven imaging platforms for the early detection of age-related diseases. Twinn.health’s AI-driven imaging platform, incorporating MRI data for risk evaluation of frailty, represents a groundbreaking innovation in disease surveillance, enabling early intervention and personalized management of age-related disorders.
Strategic Acquisitions Shaping Market Landscape
Strategic acquisitions, such as Glooko Inc.’s acquisition of Xbird, underscore the industry’s focus on machine learning and tailored digital coaching solutions, consolidating their position in the competitive AI in epidemiology landscape.
Gain comprehensive insights into the global artificial intelligence in epidemiology market by exploring the full report here:
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Artificial Intelligence In Epidemiology Global Market Report 2023 from TBRC covers the following information:
1. Market size date for the forecast period: Historical and Future
2. Market analysis by region: Asia-Pacific, China, Western Europe, Eastern Europe, North America, USA, South America, Middle East and Africa.
3. Market analysis by countries: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.
Trends, opportunities, strategies and so much more.
The Artificial Intelligence In Epidemiology Global Market Report 2023 by The Business Research Company is the most comprehensive report that provides insights on artificial intelligence In epidemiology market size, artificial intelligence In epidemiology market drivers and trends, artificial intelligence In epidemiology market major players, artificial intelligence In epidemiology market competitors’ revenues, artificial intelligence In epidemiology market positioning, and artificial intelligence In epidemiology market growth across geographies. The artificial intelligence In epidemiology market report helps you gain in-depth insights on opportunities and strategies. Companies can leverage the data in the artificial intelligence In epidemiology market report and tap into segments with the highest growth potential.
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Article originally published on www.einpresswire.com as Global Artificial Intelligence in Epidemiology Market to Reach $1.43 Billion by 2027, Reflecting a Strong CAGR of 28.8%
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