United States Artificial Intelligence in Epidemiology Market was valued at USD 0.6 Billion in 2022 and is projected to reach USD 4.0 Billion by 2030, growing at a CAGR of 28.8% from 2024 to 2030.
The US Artificial Intelligence in Epidemiology Market is rapidly evolving, driven by the demand for advanced analytics, predictive modeling, and data-driven decision-making in public health. Industries are increasingly leveraging AI technologies to identify trends, predict disease outbreaks, and improve healthcare outcomes. This transformation is largely driven by the need for faster, more accurate data processing and real-time insights in tackling emerging health challenges.
AI plays a crucial role in epidemiology, enabling experts to harness large datasets, including clinical records, genomic data, and environmental factors. This helps in forecasting disease patterns and understanding transmission dynamics. AI technologies, such as machine learning and natural language processing, are used to detect potential outbreaks, predict disease spread, and recommend preventive measures. This ability to interpret complex data significantly enhances the ability of health authorities and organizations to take proactive actions.
As industries recognize the value of AI, the demand for AI-powered tools is expanding across various sectors. Public health institutions, pharmaceutical companies, and insurance providers are at the forefront of adopting these technologies. By utilizing AI in epidemiology, these industries are able to improve patient care, develop targeted vaccines, and optimize resource allocation. Additionally, AI supports the identification of high-risk populations and the customization of treatment plans based on predictive modeling.
Moreover, the US Artificial Intelligence in Epidemiology Market is influenced by regulatory needs and the growing emphasis on personalized medicine. As AI continues to be integrated into healthcare workflows, industries are also focusing on ensuring data privacy and meeting stringent regulatory standards, which are crucial for the widespread adoption of these technologies.
In conclusion, the requirement from industries to adopt Artificial Intelligence in Epidemiology is accelerating, reflecting a broader shift towards data-driven decision-making. As the market grows, the integration of AI will continue to revolutionize how public health challenges are addressed, offering more efficient, accurate, and scalable solutions.
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Abbott Informatics
AdvancedMD
Agilent Technologies
Allscripts Healthcare
Athenahealth
Autoscribe Informatics
Cerner Corporation
Change Healthcare
Cognizant
CPSI
CureMD Healthcare
eClinicalWorks
e-Mds Inc.
Epic Systems
GE Healthcare
Graphcore
Greenway Health
IBM
Intel
InterSystems
Kareo
Medhost
Meditech
Medtronic
Micron Technology
Microsoft
NextGen Healthcare
Nvidia
Optum Inc.
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the US Artificial Intelligence in Epidemiology Market
Machine Learning
Natural Language Processing (NLP)
Deep Learning
Data Analytics
Computer Vision
Disease Surveillance
Outbreak Prediction
Treatment Optimization
Health Monitoring
Resource Allocation
Healthcare Providers
Public Health Organizations
Research Institutions
Pharmaceutical Companies
Government Agencies
On-Premise
Cloud-Based
Hybrid Solutions
Wearable Devices
Social Media Data
Patient Records
Government Health Data
Environmental Data
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the US Artificial Intelligence in Epidemiology Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. US Artificial Intelligence in Epidemiology Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. US Artificial Intelligence in Epidemiology Market, By Type
6. US Artificial Intelligence in Epidemiology Market, By Application
7. US Artificial Intelligence in Epidemiology Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. US Artificial Intelligence in Epidemiology Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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