DUBLIN: The "Artificial Intelligence in Epidemiology - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering.

The global market for Artificial Intelligence in Epidemiology was valued at US$685.6 Million in 2024 and is projected to reach US$2.6 Billion by 2030, growing at a CAGR of 25.2% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Artificial Intelligence (AI) is revolutionizing the field of epidemiology by enhancing the ability to predict, detect, and manage disease outbreaks. Traditional epidemiological methods, while effective, often struggle to process large volumes of data quickly enough to respond to rapidly evolving health crises. AI addresses this challenge by using advanced machine learning algorithms, natural language processing (NLP), and predictive analytics to analyze vast datasets in real time.

What's Driving the Growth of the AI in Epidemiology Market?

The growth in the Artificial Intelligence in Epidemiology market is driven by several key factors, reflecting the increasing reliance on technology to manage public health. The rising prevalence of infectious diseases and the global need for robust surveillance systems are major growth drivers. AI-powered platforms enable real-time monitoring and analysis, providing timely insights that improve outbreak response and disease control.

Technological advancements in AI, including natural language processing and deep learning, are further expanding the capabilities of epidemiological tools. These innovations enable the analysis of complex datasets and the generation of actionable insights, driving adoption among health organizations.

Consumer behavior trends, such as increased use of wearable devices and health apps, are generating valuable real-time health data that supports AI-driven epidemiology. Additionally, government and international funding for AI-based health initiatives are boosting market growth, as public health agencies invest in advanced tools to enhance their capabilities. These factors, coupled with the continuous evolution of AI technologies, are propelling the rapid expansion of the AI in Epidemiology market, positioning it as a cornerstone of modern public health strategy.

What Drives the Adoption of AI in Epidemiology?

The increasing frequency and complexity of disease outbreaks are significant drivers of AI adoption in epidemiology. Globalization, urbanization, and climate change are contributing to the spread of infectious diseases, creating an urgent need for advanced tools to monitor and respond to health threats. AI-powered platforms provide real-time surveillance capabilities, ensuring that public health agencies can act swiftly to contain outbreaks.

The growing availability of big data is another critical factor. Health organizations now have access to vast amounts of data from EHRs, wearable devices, genomic studies, and social media. AI systems analyze this data to uncover trends and correlations that inform public health strategies. This capability is particularly valuable in understanding the dynamics of emerging diseases and identifying vulnerable populations.

Additionally, advancements in AI technologies, such as deep learning and data visualization, are enhancing the accessibility and usability of epidemiological insights. AI tools generate user-friendly reports and visualizations that empower decision-makers at all levels, from local health departments to international organizations like the WHO. These factors highlight the growing importance of AI in addressing the challenges of modern epidemiology.

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of major players such as Alphabet, Inc., Bayer AG, Clarivate Analytics, Cognizant Technology Solutions Corporation, eClinicalWorks LLC and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the Cloud-based Deployment segment, which is expected to reach US$2.1 Billion by 2030 with a CAGR of a 24.7%. The Web-based Deployment segment is also set to grow at 27.1% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, valued at $180.2 Million in 2024, and China, forecasted to grow at an impressive 23.9% CAGR to reach $401.3 Million by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Segments:

• Deployment (Cloud-based Deployment, Web-based Deployment)
• Application (Infection Prediction & Forecasting Application, Disease & Syndromic Surveillance Application)
• End-Use (Pharma & Biotech Companies End-Use, Research Labs End-Use, Government & State Agencies End-Use, Other End-Uses)

Key Attributes:

Key Topics Covered:

MARKET OVERVIEW

• Influencer Market Insights
• World Market Trajectories
• Economic Frontiers: Trends, Trials & Transformations
• Artificial Intelligence in Epidemiology - Global Key Competitors Percentage Market Share in 2024 (E)
• Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)

MARKET TRENDS & DRIVERS

• AI-Driven Disease Modeling Spurs Growth in Predictive Epidemiological Solutions
• Integration of AI in Genomic Surveillance Expands Addressable Market for Pathogen Monitoring
• Real-Time AI Analytics Propel Growth in Early Outbreak Detection and Response
• Demand for AI in Vaccine Development Strengthens Global Health Preparedness
• Emerging Use of AI in Population Health Management Sets the Stage for Smarter Interventions
• AI Models for Zoonotic Disease Prediction Highlight Opportunities for Preventive Measures
• Integration of Big Data and AI Strengthens Business Case for Advanced Epidemiological Insights
• AI for Early Identification of Antimicrobial Resistance Spurs Innovations in Public Health
• Real-Time Monitoring of Global Disease Trends Drives Adoption of AI-Based Platforms
• Global Push for Pandemic Preparedness Strengthens Case for AI-Powered Solutions
• Demand for Faster Disease Forecasting Highlights Market Potential for AI Applications

FOCUS ON SELECT PLAYERS: Some of the 42 companies featured in this Artificial Intelligence in Epidemiology market report include:

• Alphabet, Inc.
• Bayer AG
• Clarivate Analytics
• Cognizant Technology Solutions Corporation
• eClinicalWorks LLC
• Epic Systems Corporation
• Intel Corporation
• Komodo Health
• Koninklijke Philips NV
• Microsoft Corporation

For more information about this report visit https://www.researchandmarkets.com/r/d7hbyj

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Fonte: Business Wire