Latest News- AI In Epidemiology Market: Cloud-based is expected to lead the Deployment segment during 2025-2029

The AI In Epidemiology Market is being driven by Proliferation of big data and imperative for advanced analytical capabilities

The AI In Epidemiology Market is expected to grow at a CAGR of 25.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 956.6 million. The integration of Artificial Intelligence (AI) in the epidemiology market is being fueled by the exponential growth of health-related big data and advancements in high-performance computing. The effectiveness of contemporary AI models, specifically those utilizing deep learning and neural networks, is directly related to the data volume, velocity, and variety they are trained on. The epidemiology sector is undergoing a data revolution, surpassing conventional data sources such as clinical trial results and occasional surveys. Modern AI systems can now access vast, continually updated data streams, including anonymized Electronic Health Records (EHR) from millions of individuals. These EHRs offer longitudinal insights into patient histories, diagnoses, and treatment outcomes. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Deployment
  • Cloud-based
  • Web-based
• Application
  • Infection prediction and forecasting
  • Disease and syndromic surveillance
• End-user
  • Pharma and Biotech companies
  • Research labs
  • Government and state agencies
  • Healthcare providers
• Geography
  • North America
    • Canada
    • US
  • Europe
    • Germany
    • UK
    • France
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • South America
    • Brazil
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Proliferation of big data and imperative for advanced analytical capabilities
• Intensifying demand for predictive modeling and real-time outbreak surveillance
• Accelerated advancements in AI algorithms and computational infrastructure

However, the market also witnesses some limitations, which are as follows:

• Pervasive data privacy, security, and governance complexities
• Deficits in model interpretability and nascent regulatory frameworks
• Prohibitive implementation costs and critical workforce skill gaps

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Market Scope in AI In Epidemiology Market Research Report

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Research Analysis Overview

AI is revolutionizing epidemiology through technologies like predictive epidemiology, which uses data-driven approaches and big data analytics for health outcome prediction and intervention effectiveness. Techniques such as causality inference, epidemic simulations, network analysis, statistical modeling, time series analysis, and various study designs (cohort, case-control, longitudinal, cross-sectional) are being enhanced by AI. Geospatial and computational epidemiology enable disease surveillance, while public health interventions, investigations, and evidence-based medicine benefit from AI's capabilities. AI also addresses data security, bias detection, model validation, clinical trial design, drug repurposing, infection control, and more, ensuring accurate and effective epidemiological research.

Market Research Overview

In the realm of IT software, the global market encompasses businesses specializing in the development and production of application software, excluding those focused on interactive home entertainment and systems or database management software. This sector includes epidemiological modeling companies providing advanced solutions for disease surveillance systems, outbreak prediction models, and infection risk assessment. Technavio's market analysis calculates the market size based on the consolidated revenue generated by these businesses, incorporating cloud-based software offerings.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
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