Artificial Intelligence In Epidemiology Market Growth Trajectory Through 2024-2033

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The Artificial Intelligence In Epidemiology Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Artificial Intelligence In Epidemiology Global Market Report 2024, The artificial intelligence in epidemiology market size has grown exponentially in recent years. It will grow from $0.52 billion in 2023 to $0.67 billion in 2024 at a compound annual growth rate (CAGR) of 29.3%. The growth in the historic period can be attributed to emergence of big data, globalization and travel, public health surveillance needs, outbreak response challenges, emergence of novel pathogens.

The artificial intelligence in epidemiology market size is expected to see exponential growth in the next few years. It will grow to $1.86 billion in 2028 at a compound annual growth rate (CAGR) of 29.2%. The growth in the forecast period can be attributed to data integration challenges, population growth, global health security investments, digital health adoption, one health approach, digital contact tracing. Major trends in the forecast period include advancements in computational power, technological innovations in data collection, collaboration with technology companies, real-time data sharing platforms, advancements in ai algorithms, advancements in remote sensing technologies, blockchain for epidemiological data security.

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 modeling, 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.

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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

Specialized AI-based technologies in disease management are a key trend gaining popularity in the artificial intelligence in epidemiology market. 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.

The artificial intelligence in epidemiology market report table of contents includes:

Executive Summary
Artificial Intelligence In Epidemiology Market Characteristics
Artificial Intelligence In Epidemiology Market Trends And Strategies
Artificial Intelligence In Epidemiology Market – Macro Economic Scenario
Global Artificial Intelligence In Epidemiology Market Size and Growth

Global Artificial Intelligence In Epidemiology Market Competitive Benchmarking
Global Artificial Intelligence In Epidemiology Market Competitive Dashboard
Key Mergers And Acquisitions In The Artificial Intelligence In Epidemiology Market
Artificial Intelligence In Epidemiology Market Future Outlook and Potential Analysis
Appendix

Top Major Players: