Press release
Artificial Intelligence in Epidemiology Market Driving Real-Time Disease Prediction and Transforming Public Health Strategies Worldwide
Artificial Intelligence in Epidemiology Market
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Latest Drivers Restraint and Opportunities Market Snapshot:
Key factors influencing global artificial intelligence in the epidemiology market are:
• Growing demand for disease monitoring in real-time
• Increasing the accessibility of health data
• Technological advancements
The following are the primary obstacles to artificial intelligence in the epidemiology market's expansion:
• High starting cost
• Lack of expertise
• Rising data privacy issues
Future expansion opportunities for the global artificial intelligence in epidemiology market include:
• Increasing integration of AI
• Increasing research and development activities
• Increasing investments in digital health
Key Industry Insights & Findings from the Report:
• Disease prediction is changing as a result of the increasing use of AI in epidemiology.
• The growing availability of health data drives the market for AI in epidemiology, the requirement for real-time outbreak prediction, and developments in machine learning.
• North America dominated the market and accounted for a revenue share of global revenue in 2023.
• One of the significant concerns restraining industry growth is the high starting cost and shortage of skilled personnel.
Market Analysis:
The use of artificial intelligence in epidemiology leverages sophisticated algorithms to analyze health data, predict disease trends, and support public health decision-making. Market growth in this segment is driven by advancements in machine learning methodologies, the increasing need for timely outbreak detection, and the expanded access to comprehensive health datasets.
Furthermore, the ongoing digital transformation of healthcare systems, heightened investments from both public and private sectors, and enhancements in computational infrastructure are accelerating the adoption of AI solutions, enabling more efficient resource management and reinforcing disease monitoring and response capabilities.
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List of Prominent Players in the Artificial Intelligence in Epidemiology Market:
• Cognizant Technology Solutions Corporation
• Cerner Corporation (Oracle)
• Epic Systems Corporation
• eClinicalWorks LLC
• Alphabet Inc.
• Komodo Health
• Microsoft Corporation
• Meditech
• Predixion Software
• Siemens Healthineers AG
• Intel Corporation
• Bayer Healthcare
• Artificial Intelligence for Medical Epidemiology (AIME)
• Cardiolyse
• SAS Institute, Inc.
Recent Developments:
• In January 2025, Gilead Sciences, a biopharmaceutical company, and Cognizant announced an extension of their long-standing partnership. This partnership intends to unlock even greater value for Gilead as it pursues breakthroughs to prevent and treat life-threatening diseases.
• In December 2024, Zscaler and Cognizant are expanding their collaboration to assist businesses in various sectors in streamlining and transforming their security posture through the use of a cutting-edge, AI-powered zero-trust cloud security platform to counteract changing cyber threats.
• In September 2024, Oracle Cloud Infrastructure AI infrastructure is being used by Evidium. This healthcare AI firm prioritizes safety, transparency, and dependability to further its goals of developing trustworthy AI and expanding medical knowledge and science. Evidium is using OCI AI infrastructure to train and develop a large number of AI models that support its AI platform.
Market Dynamics
Drivers -
The global market for artificial intelligence (AI) in epidemiology is being driven by the growing demand for real-time disease monitoring. Healthcare systems worldwide face increasing pressure to acquire timely insights into disease transmission, enabling rapid and effective interventions, particularly amid recurring outbreaks and fast-evolving pathogens.
AI-powered analytics allow for the efficient processing of large-scale health datasets, supporting the detection of emerging trends and accurate forecasting of disease trajectories. These capabilities improve decision-making, optimize resource utilization, and enhance public health preparedness. Additionally, rising investments in AI-enabled epidemiological monitoring solutions are fostering adoption and contributing to overall market expansion.
Challenges -
Despite its significant potential, the adoption of AI in epidemiology is constrained by high initial investment requirements. Deploying advanced AI solutions involves substantial expenditures for specialized software, high-performance computing infrastructure, and skilled professionals. These financial barriers are especially challenging for smaller organizations and healthcare systems in developing regions, limiting accessibility.
Moreover, the complexity and cost associated with integrating AI technologies into existing healthcare frameworks further impede implementation. As a result, while AI offers substantial benefits for disease surveillance and management, the high upfront costs remain a key obstacle to widespread adoption and market growth.
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North America Is Expected To Grow With the Highest CAGR During The Forecast Period
The North American market for artificial intelligence in epidemiology is expected to secure a significant share of global revenue and register robust growth at a noteworthy compound annual growth rate (CAGR) during the forecast period. This expansion is underpinned by the region's sophisticated healthcare infrastructure, widespread integration of digital health technologies, and substantial investments in AI-focused research and development initiatives.
The deployment of AI in epidemiological applications is further supported by the availability of high-quality health data, clearly established regulatory frameworks, and strategic partnerships between technology providers and public health organizations. Moreover, the presence of a highly skilled workforce-including researchers, data scientists, and healthcare professionals-facilitates the development, implementation, and adoption of AI-driven solutions aimed at improving disease surveillance and strengthening public health management.
Segmentation of Artificial Intelligence in Epidemiology Market-
By Development-
• Web-Based
• Cloud-Based
By Application-
• Infection Prediction and Forecasting
• Disease and Syndromic Surveillance
By End-User-
• Government and State Agencies
• Research Labs
• Pharmaceutical and Biotechnology Companies
• Healthcare Providers
By Region-
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
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InsightAce Analytic Pvt. Ltd.
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