Artificial Intelligence In Epidemiology Market Report 2026

Artificial Intelligence In Epidemiology Market Overview

• Artificial Intelligence In Epidemiology market size has reached to $0.83 billion in 2025 • Expected to grow to $3.17 billion in 2030 at a compound annual growth rate (CAGR) of 30.7% • Growth Driver: Addressing The Chronic Disease Challenge Artificial Intelligence In Epidemiology • Market Trend: Innovative Ai-Driven Imaging Platforms Transforming Disease Management In Epidemiology • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence In Epidemiology Market?

Artificial intelligence in epidemiology refers to applying artificial intelligence (AI) techniques and tools to enhance and optimize epidemiological research and public health interventions. AI epidemiology assists in analyzing large datasets, identifying patterns and trends, supporting decision-making processes, and predicting disease outbreaks for disease prevention, monitoring, and control. The main components of artificial intelligence in epidemiology are software and services. Software refers to a collection of programs, instructions, and data that enable a computer or other electronic device to perform specific tasks or operations, and software plays a crucial role in the application of artificial intelligence (AI) in epidemiology, enabling the analysis of large datasets, modeling disease spread, and making predictions for public health interventions. They are deployed in web-based and cloud-based modes for applications such as infection prediction and forecasting, disease surveillance, and syndromic surveillance, and are used by end-users such as government and state agencies, research laboratories, pharmaceutical and biotechnology companies, and healthcare providers.

What Is The Artificial Intelligence In Epidemiology Market Growth Forecast?

The artificial intelligence in epidemiology market size is expected to see exponential growth in the next few years. It will grow to $3.17 billion in 2030 at a compound annual growth rate (CAGR) of 30.7%. The growth in the forecast period can be attributed to rising investment in AI for public health, expansion of cloud-based epidemiology platforms, demand for early warning systems, integration of multi-source health data, focus on pandemic preparedness. Major trends in the forecast period include ai-driven disease outbreak prediction, real-time epidemiological surveillance systems, advanced population health analytics, predictive modeling for public health planning, integrated data platforms for epidemiology.

Global Artificial Intelligence In Epidemiology Market Segmentation

1) By Component: Software, Services 2) By Deployment: Web-Based, Cloud-Based 3) By Application: Infection Prediction And Forecasting, Disease And Syndromic Surveillance 4) By End-Use: Government And State Agencies, Research Laboratories, Pharmaceutical And Biotechnology Companies, Healthcare Providers Subsegments: 1) By Software: Data Analytics Platforms, Predictive Modeling Tools, Geographic Information Systems (GIS), Surveillance Systems, Reporting And Visualization Tools 2) By Services: Consulting Services, Implementation And Integration Services, Data Management And Support Services, Training And Capacity Building Services

What Is The Driver Of The Artificial Intelligence In Epidemiology Market?

The growing burden of chronic diseases is expected to propel the growth of artificial intelligence in the epidemiology market going forward. Chronic disease refers to a health condition or disease that is persistent or long-lasting in its effects, usually lasting for three months or longer, and may get worse over time. AI plays a significant role in various aspects of chronic disease epidemiology, including risk prediction, disease progression modelling, early detection, and diagnosis. For instance, in May 2023, according to The United Nations (UN), a US-based intergovernmental organization to promote international cooperation and maintain international peace and security, Chronic diseases are responsible for seven out of 10 deaths in the US, killing more than 1.7 million Americans each year. Therefore, the growing burden of chronic diseases is expected to propel the growth of artificial intelligence in the epidemiology market.

Key Players In The Global Artificial Intelligence In Epidemiology Market

Major companies operating in the artificial intelligence in epidemiology market are Alphabet Inc.; Microsoft Corporation; Roche Holding AG; Pfizer Inc.; Johnson & Johnson Services Inc.; Amazon Web Services Inc.; Google LLC; Intel Corporation; IBM Corporation; Merck & Co. Inc.; Novartis International AG; Sanofi S.A; Bristol Myers Squibb Company; AstraZeneca PLC; Oracle Corporation; GlaxoSmithKline plc; NVIDIA Corporation; Bayer Healthcare; Siemens Healthineers AG; Koninklijke Philips N.V.; SAS Institute Inc.; Epic Systems Corporation; Cerner Corporation; eClinicalWorks LLC; Meditech; Komodo Health; Metabiota Inc.

Global Artificial Intelligence In Epidemiology Market Trends and Insights

Major companies operating in the artificial intelligence in epidemiology market are concentrating on creating innovative technologies, such as AI-driven imaging platforms for disease management, to sustain their position in the market. For instance, in April 2023, Twinn Health, a US-based company engaged in fitness, AI, and machine learning, launched an AI-driven imaging platform for the early detection of age-related diseases. The new platform is the first to incorporate magnetic resonance imaging (MRI) data for the risk evaluation of frailty. It is a potent tool for early intervention and prevention since it detects chronic age-related disorders earlier than conventional molecular signals and helps manage these conditions at an early stage.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence In Epidemiology Market?

In April 2024, OMRON Healthcare Co., Ltd., a Japan-based healthcare technology company, acquired Luscii Healthtech B.V. for an undisclosed amount. Through this acquisition, OMRON aims to strengthen its AI-enabled remote patient monitoring (RPM) services and expand across Europe and other markets by integrating Luscii’s digital health platform, which covers more than 150 conditions and collaborates with approximately 70% of Dutch hospitals. Luscii Healthtech B.V. is a Netherlands-based digital health company that offers an artificial intelligence (AI)-powered remote patient-monitoring platform enabling epidemiology-informed care pathways and home-based condition management.

Regional Insights

North America was the largest region in the artificial intelligence in epidemiology market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Artificial Intelligence In Epidemiology Market?

The artificial intelligence in epidemiology market consists of revenues earned by entities by providing disease surveillance and management, predictive modelling, and risk assessment. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in epidemiology market also includes sales of real-time monitoring systems and image analysis systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence In Epidemiology Market Report 2026?

The artificial intelligence in epidemiology market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in epidemiology industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.