What Has Been The Historical And Current Growth Of The Artificial Intelligence In Epidemiology Market?
The artificial intelligence in epidemiology market has seen considerable growth due to a variety of factors.
•The market size of artificial intelligence in epidemiology has seen significant growth in the past few years. The market is projected to expand from $0.66 billion in 2024, reaching $0.84 billion in 2025 with an astounding compound annual growth rate (CAGR) of 28.0%.
The impressive expansion during the historical period is a result of factors such as the advent of big data, worldwide globalization and travel, the requirement for public health surveillance, challenges related to outbreak responses, and the rise of new pathogens.
What Is The Forecast For The Artificial Intelligence In Epidemiology Market By 2029?
The artificial intelligence in epidemiology market is expected to maintain its strong growth trajectory in upcoming years.
• In the forthcoming years, the market size for artificial intelligence in epidemiology is predicted to experience an exponential increase. The market is projected to expand to $2.48 billion in 2029, boasting a compound annual growth rate (CAGR) of 31.0%.
Data integration complexities, rise in population, global health security funding, the adoption of digital health, the one health strategy, and digital contact tracing can be seen as the contributing factors to this increase within the predicted period. The forecast period will also witness significant trends such as improved computational power, tech-based advancements in data gathering, partnerships with tech corporations, platforms for sharing data in real-time, progress in AI algorithms, advancements in remote sensing tech, and the use of the blockchain for securing epidemiological data.
Which Key Drivers Are Propelling The Artificial Intelligence In Epidemiology Market's Growth?
The increasing prevalence of chronic diseases is anticipated to push the expansion of artificial intelligence in the epidemiology market. Chronic disease indicates a health issue or ailment that is long-term or persistent in nature, typically lasting for three months or more, and possibly worsening over time. AI contributes significantly to various aspects of chronic disease epidemiology, such as risk prediction, disease progression modeling, and early detection and diagnosis. For example, in May 2023, The United Nations (UN), a US-based organization promoting international cooperation and maintaining global peace and security, stated that chronic diseases cause seven out of every 10 deaths in the US, resulting in more than 1.7 million American deaths annually. Therefore, the growing prevalence of chronic diseases is anticipated to drive the application and growth of artificial intelligence in the epidemiology market.
What Are The Key Segments Within The Global Artificial Intelligence In Epidemiology Market?
The artificial intelligence in epidemiology market covered in this report is segmented –
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
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How Are New Trends Impacting The Size Of The Artificial Intelligence In Epidemiology Market?
AI-centered solutions tailored to disease management are becoming an increasingly important trend in the domain of artificial intelligence in epidemiology. Major firms active in this market are focusing on the development of novel technologies such as AI-powered imaging systems for disease management in order to maintain and enhance their market standing. For example, in April 2023, Twinn.health, a company based in the US that specializes in fitness, AI, and machine learning, released an AI-assisted imaging system designed to detect age-related diseases at an early stage. This ground-breaking platform is the first to employ magnetic resonance imaging (MRI) data for assessing the risk of frailty. It acts as a highly effective tool for early intervention and prevention since it is capable of identifying chronic disorders related to aging earlier than traditional molecular signals, thereby enabling these conditions to be managed at a preliminary stage.
Who Are the Key Players in the Artificial Intelligence In Epidemiology Market?
Major companies operating in the artificial intelligence in epidemiology market include:
• Apple Inc.
• Alphabet Inc.
• Microsoft Corporation
• Facebook Inc.
• Roche Holding AG
• Pfizer Inc.
• Johnson & Johnson Services Inc.
• Amazon Web Services Inc.
• General Electric Company
• 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
• Cogniant Technology Solutions Corporation
• Koninklijke Philips N.V.
• SAS Institute Inc.
• Epic Systems Corporation
• Cerner Corporation
• eClinicalWorks LLC
• Meditech
• Komodo Health
• Metabiota Inc.
What are the Regional Insights into the Artificial Intelligence In Epidemiology Market?
North America was the largest region in the artificial intelligence in epidemiology market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in epidemiology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
