Artificial Intelligence In Epidemiology Market Size
Which drivers are expected to have the greatest impact on the over the artificial intelligence in epidemiology market’s growth?
The escalating prevalence of chronic illnesses is predicted to drive the expansion of artificial intelligence in the epidemiology market. Chronic ailments are typically persistent or enduring, often lasting three months or more, and potentially worsening over time. In the field of chronic disease epidemiology, AI proves instrumental in areas like risk prediction, modeling disease progression, and early detection and diagnosis. For example, in May 2023, The United Nations (UN), an intergovernmental organization based in the US dedicated to promoting international cooperation and upholding international peace and security, revealed that chronic diseases account for seven in 10 deaths in the US, claiming the lives of over 1.7 million Americans annually. As a result, the growing burden of chronic illnesses is anticipated to invigorate the expansion of artificial intelligence in the epidemiology market.
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What is the future CAGR of the artificial intelligence in epidemiology market, and how will it impact industry expansion?
There has been a rapid expansion in the market size of artificial intelligence in epidemiology in the past few years. The market is set to rise from a worth of $0.66 billion in 2024 to $0.84 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 28.0%. This substantial growth in the historical period can be credited to factors such as the advent of big data, globalization and increased travel, the necessity for public health surveillance, outbreak response difficulties, and the emergence of new pathogens.
The market size of artificial intelligence in epidemiology is anticipated to witness a remarkable surge in the upcoming years, expected to reach $2.48 billion in 2029 with a CAGR of 31.0%. The projected expansion during the forecasting period is attributed to factors like data integration difficulties, population expansion, investments in global health security, the adoption of digital health, the one health approach, and digital contact tracing. Principal trends foreseen during this period involve progress in computational ability, technological advancements in data gathering, collaborations with tech companies, platforms for real-time data sharing, evolvements in AI algorithms, improvements in remote sensing technologies, and the use of blockchain for data security in epidemiology.
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What are the most significant trends transforming the artificial intelligence in epidemiology market today?
In the artificial intelligence in epidemiology market, a notable emerging trend is the utilization of AI-based technologies specifically tailored for disease management. Leading companies in the market are focusing on the development of cutting-edge technologies, such as AI-enhanced imaging platforms for disease management, to uphold their market position. Take for instance, in April 2023, a renowned US-based firm, Twinn.health, known for its work on AI, fitness, and machine learning, launched an AI-infused imaging platform designed for early detection of age-related diseases. This pioneering platform is the first to integrate MRI data for frailty risk assessment. It serves as a powerful tool for early intervention and prevention as it identifies chronic age-related diseases earlier than traditional molecular signals, allowing for management of these conditions at an early stage.
Which key market segments comprise the artificial intelligence in epidemiology market and drive its revenue growth?
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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What regions are at the forefront of artificial intelligence in epidemiology market expansion?
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
Who are the leading players fueling growth 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.
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What Is Covered In The Artificial Intelligence In Epidemiology Global Market Report?
• Market Size Forecast: Examine the artificial intelligence in epidemiology market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence in epidemiology market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence in epidemiology market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence in epidemiology market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence in epidemiology market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence in epidemiology market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence in epidemiology market.
• Competitive Landscape: Review strategic developments in the artificial intelligence in epidemiology market, including expansions, agreements, and new product launches.
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