AI for Predicting Pandemics and Global Health Emergencies Market Report Size, Share, Opportunities, and Trends Segmented By Component, Deployment Mode, Application, End-User, and Geography – Forecasts from 2025 to 2030

AI for Predicting Pandemics and Global Health Emergencies Market Size:

The AI for Predicting Pandemics and Global Health Emergencies Market is expected to witness robust growth over the forecast period.

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AI for predicting pandemics and global health emergencies is an emerging but rapidly scaling market in the broader AI in healthcare market. There is an increasing usage of AI products such as BlueDot, and others across different national public-health systems. COVID-19 worked as a wake-up call, and expanded data sources for inputs are driving the market growth. Advancements in AI technologies and increasing public-health budgets towards digitalization are offering a growth prospect for the market.

AI for Predicting Pandemics and Global Health Emergencies Market Overview & Scope

The AI for Predicting Pandemics and Global Health Emergencies Market is segmented by:

• Component: The AI for Predicting Pandemics and Global Health Emergencies Market is segmented by Component into Software, Services, and Hardware.
• Deployment Mode: By Deployment Mode, it is divided into Cloud-based and On-Premises solutions.
• Application: By Application, the market is categorized into Outbreak Prediction & Detection, Disease Surveillance, Contact Tracing, Risk Assessment, Health Trend Forecasting, Public Health Resource Allocation, and Others.
• End-User Industry: By End-User Industry, it is classified into Government & Public Health Agencies, Hospitals & Clinics, Research Institutions, Pharmaceuticals and Biotech Companies, Academic Institutions, and Others.
• Region: The market is segmented into five major geographic regions, namely North America, South America, Europe, the Middle East and Africa and Asia-Pacific.

Top Trends Shaping the AI for Predicting Pandemics and Global Health Emergencies Market

1. Adoption of Generative AI, Predictive Analytics, and Automation

   There is a growing shift towards Gen AI models, combined with predictive analytics. They can rapidly generate a research hypothesis and also estimate the chances of success.

   It also integrates the use of multi-modal AI systems such as text, images, genomic data, clinical data to generate more robust and context-aware hypotheses.

AI for Predicting Pandemics and Global Health Emergencies Market Growth Drivers vs. Challenges

Opportunities:

• Advancements in AI technologies: One of the key factors leading the market development is the advancement in AI and big data analytics for advancing the prediction of global health emergencies. Innovation in AI, deep learning, machine learning, generative AI, and big data analytics empowers platforms to process vast amounts of datasets such as epidemiological records, genomic sequences, migration patterns, and environmental factors to predict slow patterns, forecast disease outbreaks in order to optimize health responses. As per a study by the Oxford researchers, in the next five years, AI has the potential to transform pandemic preparedness.
• Increased public-health budgets & procurement for digital surveillance and preparedness planning: One major other driver is increasing public-health budgets, especially after the COVID-19 pandemic, for predicting pandemics and health emergencies. Governments are allocating certain health budgets to digital infrastructure for early detection and real-time monitoring for coordinating responses to these health threats. For instance, the Pandemic Fund created in 2022 as a joint initiative of the World Bank and the WHO, is a global financing mechanism that is designed to strengthen pandemic prevention, preparedness, and response (PPR), with a particular focus on low- and middle-income countries (LMICs). Countries like the USA, there is growing investment in pandemic preparedness. For instance, under the ASPR, there is a proposed $3.8 billion budget in FY2025. It includes $10.54 billion in mandatory funding for pandemic preparedness and $970 million in BARDA Advanced research and development, which includes innovative technologies, such as AI-driven outbreak modeling, digital surveillance platforms, and data analytics.

Challenges:

• Limited integration of AI systems: One of the major restrictions that the market faces is the limited integration of AI into existing workflows. Many infrastructures are not compatible with integrating AI, or if they have to be embedded, it requires substantial investment. However, investment is lacking or not allocated in various regions, making the market growth limited.

AI for Predicting Pandemics and Global Health Emergencies Market Regional Analysis

• North America: North America holds a key leadership position in the AI for predicting pandemics and global health emergencies market. The market highlights high adoption intensity as many companies are moving towards product development. Region’s heavy R&D investment, with high public health budget and focus on developing ways to predict and control pandemic outbreaks, is driving the market. For instance, in the University of Florida Pathogens Institute, researchers published an algorithm that is capable of predicting which COVID-19 variant is in circulation. It is used for spotting new variants, and it will be used further for predicting SARS-CoV-2. Additionally, the region’s high innovation in AI and its deployment are driving the market. Administration for Strategic Preparedness & Response of the USA has proposed US$3.8 billion in the FY2025 President’s budget, which is an increase of $138 million from FY 2023.
• Europe: Europe is expected to have slow and steady growth. Its R&D and investment in trust and compliant AI, and its policy towards pandemic preparedness and managing health emergencies, will be driving the market.
• Asia-Pacific: Asia-Pacific is growing at the fastest rate, driven by a growing focus on predicting pandemics and managing them. Their growing AI adoption will drive the market. The maturity and growth will vary across countries due to the presence of key global economies, as well as low or middle-income countries. There will be high momentum in China, Singapore, Australia, India and some parts of Southeast Asia.

AI for Predicting Pandemics and Global Health Emergencies Market Competitive Landscape

The market is moderately fragmented, with some key players such as Google LLC, Microsoft Corporation, IBM Corporation, Amazon Web Services, NVIDIA Corporation, Siemens Healthineers, SAS Institute Inc., Oracle Corporation, Palantir Technologies, and Tempus Labs, Inc.

• Product Launch: In August 2025, Research from UAEU and IIT Madras developed an AI-powered framework to predict malaria outbreaks.
• Program Launch: In August 2025, the Andhra Pradesh government of India launched the Bharat Biodesign Research and Innovation (Brain) program. This program will also priortise predictive analysis for disease prevention.

AI for Predicting Pandemics and Global Health Emergencies Market Scope:

AI for Predicting Pandemics and Global Health Emergencies Market Segmentation:

• By Component
  • Software
  • Services
  • Hardware
• By Deployment Mode
  • Cloud-based
  • On-Premises
• By Application
  • Outbreak Prediction & Detection
  • Disease Surveillance
  • Contract Tracing
  • Risk Assessment
  • Health Trend Forecasting
  • Public Health Resource Allocation
  • Others
• By End-User Industry
  • Government & Public Health Agencies
  • Hospitals & Clinics
  • Research Institutions
  • Pharmaceuticals and Biotech Companies
  • Academic Institutions
  • Others
• By Region
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Others

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Page last updated on: September 12, 2025

Google LLC

Microsoft Corporation

IBM Corporation

Amazon Web Services

NVIDIA Corporation

Siemens Healthineers

SAS Institute Inc.

Oracle Corporation

Palantir Technologies

Tempus Labs, Inc.