世界の疫学における人工知能(AI)市場予測 2024-2032年

出版:Inkwood Research(インクウッドリサーチ) 出版年月:2024年4月

GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET FORECAST 2024-2032

世界の疫学における人工知能(AI)市場予測 2024-2032年
Global Artificial Intelligence (AI) in Epidemiology Market by Deployment (on-premise, Web-based, Cloud-based) Market by Application (Infection Prediction & Forecasting, Disease & Syndromic Surveillance, Monitoring Population Health & Incidence/ Prevalence) Market by End Use (Government & State Agencies, Research Labs, Pharmaceutical & Biotechnology Companies, Healthcare Providers) by Geography

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種別英文調査報告書

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Report Overview

KEY FINDINGS
The global artificial intelligence (AI) in epidemiology market is forecasted to generate a CAGR of 27.33% over the projection years of 2024-2032.

世界の疫学市場における人工知能 (AI) は、2024 年から 2032 年の予測年にわたって 27.33% の CAGR を生み出すと予測されています。

Key drivers facilitating the market’s growth include the early detection and surveillance of disease outbreaks, the growing need for predictive modeling to forecast disease trends, and data availability for epidemiological research.

世界の疫学における人工知能(AI)市場予測 2024-2032年

MARKET INSIGHTS
Early detection and surveillance of disease outbreaks play a pivotal role in driving the growth of the global artificial intelligence (AI) in epidemiology market. By leveraging AI-powered algorithms on vast datasets, public health authorities can swiftly identify emerging threats, enabling timely interventions to mitigate the spread of infectious diseases. This proactive approach not only saves lives but also reduces healthcare costs associated with treating widespread outbreaks.
Furthermore, the adoption of AI in epidemiology enhances the efficiency and accuracy of disease surveillance systems, enabling real-time monitoring of population health trends. This capability enables healthcare stakeholders to anticipate potential outbreaks, allocate resources effectively, and implement targeted interventions, thereby minimizing the impact of epidemics on public health and economies.
The increasing integration of AI technologies into epidemiological research and public health infrastructure fosters collaborations between governments, research institutions, and industry players. These partnerships drive innovation in AI algorithms and data analytics, leading to the development of more sophisticated tools for disease detection, prediction, and response. Consequently, the demand for AI solutions in epidemiology continues to surge, fueling the growth of the global market as stakeholders recognize the critical role of early detection and surveillance in safeguarding public health.

REGIONAL INSIGHTS
The global artificial intelligence (AI) in epidemiology market growth examination compiles the geographical study of Europe, Asia-Pacific, North America, and Rest of World. North America is set to be a major region in the global market during the forecast period, recording a revenue share of xx% in 2024.
North America boasts a sophisticated healthcare infrastructure with advanced tools like electronic health records (EHRs) and strong data systems, enabling seamless integration and use of AI solutions. The Government Accountability Office (GAO) and the National Academy of Medicine (NAM) are collaborating on an initiative to explore AI/ML applications in healthcare, assessing their impact and identifying key strategies for optimizing their use. This effort significantly accelerates progress in the North America AI in epidemiology market.

REPORT SYNOPSIS

REPORT SCOPEDETAILS
Market Forecast Years2024-2032
Base Year2023
Market Historical Years2018-2022
Forecast Units

Revenue ($ Million)

Segments AnalyzedDeployment, Application, and End Use
Geographies AnalyzedNorth America, Europe, Asia-Pacific, and Rest of World
Companies AnalyzedCerner Corporation, Cognizant, eClinical Works Inc, Alphabet Inc, Intel Corporation, Epic Systems Corporation, Microsoft Corporation, Meditech, Komodo Health, Siemens Healthineers, Bayer Healthcare, SAS Institute, Cardiolyse, Predixion Healthcare (Jvion LLC)

COMPETITIVE INSIGHTS
In the competitive landscape of AI in epidemiology, companies are vying to offer innovative solutions leveraging advanced algorithms and data analytics to enhance disease surveillance and prediction. Key players are focused on developing robust AI models that can efficiently analyze vast amounts of healthcare data to provide actionable insights for public health agencies and healthcare providers.
Additionally, partnerships with research institutions and government bodies are crucial for staying ahead in this rapidly evolving market. Additionally, some of the top companies in the global market are Epic Systems Corporation, Microsoft Corporation, Meditech, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

Table of Contents

1. RESEARCH SCOPE & METHODOLOGY
1.1. STUDY OBJECTIVES
1.2. METHODOLOGY
1.3. ASSUMPTIONS & LIMITATIONS
2. EXECUTIVE SUMMARY
2.1. MARKET SIZE & ESTIMATES
2.2. MARKET OVERVIEW
2.3. SCOPE OF STUDY
2.4. CRISIS SCENARIO ANALYSIS
2.4.1. IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
2.5. MAJOR MARKET FINDINGS
2.5.1. PUBLIC-PRIVATE PARTNERSHIP IN AI FOR HEALTH INFECTION PREDICTION & FORECASTING
2.5.2. RISING APPLICATIONS OF AI IN PERSONALIZED MEDICATIONS
2.5.3. INCREASING POPULARITY IN INFECTION PREDICTION AND FORECASTING ON CLOUD-BASED PLATFORMS
3. MARKET DYNAMICS
3.1. KEY DRIVERS
3.1.1. EARLY DETECTION AND SURVEILLANCE OF DISEASE OUTBREAKS
3.1.2. PREDICTIVE MODELING TO FORECAST DISEASE TRENDS
3.1.3. DATA AVAILABILITY FOR EPIDEMIOLOGICAL RESEARCH
3.2. KEY RESTRAINTS
3.2.1. PRIVACY AND ETHICAL CONCERNS REGARDING SENSITIVE PATIENT DATA
3.2.2. DATA QUALITY AND AVAILABILITY CHALLENGES
4. KEY ANALYTICS
4.1. KEY MARKET TRENDS
4.1.1. ADVANCEMENTS IN MACHINE LEARNING AND DATA ANALYTICS
4.1.2. EXPANSION OF TELEHEALTH AND REMOTE MONITORING
4.1.3. INTEGRATION OF AI IN PUBLIC HEALTH SYSTEMS
4.2. PORTER’S FIVE FORCES ANALYSIS
4.2.1. BUYERS POWER
4.2.2. SUPPLIERS POWER
4.2.3. SUBSTITUTES
4.2.4. NEW ENTRANTS
4.2.5. INDUSTRY RIVALRY
4.3. GROWTH PROSPECT MAPPING
4.4. MARKET MATURITY ANALYSIS
4.5. MARKET CONCENTRATION ANALYSIS
5. MARKET BY DEPLOYMENT
5.1. ON-PREMISE
5.1.1. MARKET FORECAST FIGURE
5.1.2. SEGMENT ANALYSIS
5.2. WEB-BASED
5.2.1. MARKET FORECAST FIGURE
5.2.2. SEGMENT ANALYSIS
5.3. CLOUD-BASED
5.3.1. MARKET FORECAST FIGURE
5.3.2. SEGMENT ANALYSIS
6. MARKET BY APPLICATION
6.1. INFECTION PREDICTION & FORECASTING
6.1.1. MARKET FORECAST FIGURE
6.1.2. SEGMENT ANALYSIS
6.2. DISEASE & SYNDROMIC SURVEILLANCE
6.2.1. MARKET FORECAST FIGURE
6.2.2. SEGMENT ANALYSIS
6.3. MONITORING POPULATION HEALTH & INCIDENCE/ PREVALENCE
6.3.1. MARKET FORECAST FIGURE
6.3.2. SEGMENT ANALYSIS
7. MARKET BY END USE
7.1. GOVERNMENT & STATE AGENCIES
7.1.1. MARKET FORECAST FIGURE
7.1.2. SEGMENT ANALYSIS
7.2. RESEARCH LABS
7.2.1. MARKET FORECAST FIGURE
7.2.2. SEGMENT ANALYSIS
7.3. PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES
7.3.1. MARKET FORECAST FIGURE
7.3.2. SEGMENT ANALYSIS
7.4. HEALTHCARE PROVIDERS
7.4.1. MARKET FORECAST FIGURE
7.4.2. SEGMENT ANALYSIS
8. GEOGRAPHICAL ANALYSIS
8.1. NORTH AMERICA
8.1.1. MARKET SIZE & ESTIMATES
8.1.2. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET DRIVERS
8.1.3. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET CHALLENGES
8.1.4. KEY PLAYERS IN NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
8.1.5. COUNTRY ANALYSIS
8.1.5.1. UNITED STATES
8.1.5.1.1. UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.1.5.2. CANADA
8.1.5.2.1. CANADA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2. EUROPE
8.2.1. MARKET SIZE & ESTIMATES
8.2.2. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET DRIVERS
8.2.3. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET CHALLENGES
8.2.4. KEY PLAYERS IN EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
8.2.5. COUNTRY ANALYSIS
8.2.5.1. UNITED KINGDOM
8.2.5.1.1. UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2.5.2. GERMANY
8.2.5.2.1. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2.5.3. FRANCE
8.2.5.3.1. FRANCE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2.5.4. ITALY
8.2.5.4.1. ITALY ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2.5.5. SPAIN
8.2.5.5.1. SPAIN ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.2.5.6. REST OF EUROPE
8.2.5.6.1. REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3. ASIA-PACIFIC
8.3.1. MARKET SIZE & ESTIMATES
8.3.2. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET DRIVERS
8.3.3. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET CHALLENGES
8.3.4. KEY PLAYERS IN ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
8.3.5. COUNTRY ANALYSIS
8.3.5.1. CHINA
8.3.5.1.1. CHINA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3.5.2. JAPAN
8.3.5.2.1. JAPAN ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3.5.3. INDIA
8.3.5.3.1. INDIA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3.5.4. SOUTH KOREA
8.3.5.4.1. SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3.5.5. AUSTRALIA & NEW ZEALAND
8.3.5.5.1. AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.3.5.6. REST OF ASIA-PACIFIC
8.3.5.6.1. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.4. REST OF WORLD
8.4.1. MARKET SIZE & ESTIMATES
8.4.2. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET DRIVERS
8.4.3. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET CHALLENGES
8.4.4. KEY PLAYERS IN REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
8.4.5. REGIONAL ANALYSIS
8.4.5.1. LATIN AMERICA
8.4.5.1.1. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
8.4.5.2. MIDDLE EAST & AFRICA
8.4.5.2.1. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET SIZE & OPPORTUNITIES
9. COMPETITIVE LANDSCAPE
9.1. KEY STRATEGIC DEVELOPMENTS
9.1.1. MERGERS & ACQUISITIONS
9.1.2. PRODUCT LAUNCHES & DEVELOPMENTS
9.1.3. PARTNERSHIPS & AGREEMENTS
9.1.4. BUSINESS EXPANSIONS & DIVESTITURES
9.2. COMPANY PROFILES
9.2.1. ALPHABET INC
9.2.1.1. COMPANY OVERVIEW
9.2.1.2. PRODUCT LIST
9.2.1.3. STRENGTHS & CHALLENGES
9.2.2. BAYER HEALTHCARE
9.2.2.1. COMPANY OVERVIEW
9.2.2.2. PRODUCT LIST
9.2.2.3. STRENGTHS & CHALLENGES
9.2.3. CARDIOLYSE
9.2.3.1. COMPANY OVERVIEW
9.2.3.2. PRODUCT LIST
9.2.3.3. STRENGTHS & CHALLENGES
9.2.4. CERNER CORPORATION
9.2.4.1. COMPANY OVERVIEW
9.2.4.2. PRODUCT LIST
9.2.4.3. STRENGTHS & CHALLENGES
9.2.5. COGNIZANT
9.2.5.1. COMPANY OVERVIEW
9.2.5.2. PRODUCT LIST
9.2.5.3. STRENGTHS & CHALLENGES
9.2.6. ECLINICAL WORKS INC
9.2.6.1. COMPANY OVERVIEW
9.2.6.2. PRODUCT LIST
9.2.6.3. STRENGTHS & CHALLENGES
9.2.7. EPIC SYSTEMS CORPORATION
9.2.7.1. COMPANY OVERVIEW
9.2.7.2. PRODUCT LIST
9.2.7.3. STRENGTHS & CHALLENGES
9.2.8. INTEL CORPORATION
9.2.8.1. COMPANY OVERVIEW
9.2.8.2. PRODUCT LIST
9.2.8.3. STRENGTHS & CHALLENGES
9.2.9. KOMODO HEALTH
9.2.9.1. COMPANY OVERVIEW
9.2.9.2. PRODUCT LIST
9.2.9.3. STRENGTHS & CHALLENGES
9.2.10. MEDITECH
9.2.10.1. COMPANY OVERVIEW
9.2.10.2. PRODUCT LIST
9.2.10.3. STRENGTHS & CHALLENGES
9.2.11. MICROSOFT CORPORATION
9.2.11.1. COMPANY OVERVIEW
9.2.11.2. PRODUCT LIST
9.2.11.3. STRENGTHS & CHALLENGES
9.2.12. PREDIXION HEALTHCARE (JVION LLC)
9.2.12.1. COMPANY OVERVIEW
9.2.12.2. PRODUCT LIST
9.2.12.3. STRENGTHS & CHALLENGES
9.2.13. SAS INSTITUTE
9.2.13.1. COMPANY OVERVIEW
9.2.13.2. PRODUCT LIST
9.2.13.3. STRENGTHS & CHALLENGES
9.2.14. SIEMENS HEALTHINEERS
9.2.14.1. COMPANY OVERVIEW
9.2.14.2. PRODUCT LIST
9.2.14.3. STRENGTHS & CHALLENGES

List of Tables

TABLE 1: MARKET SNAPSHOT — ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY
TABLE 2: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY DEPLOYMENT, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 3: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY DEPLOYMENT, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 4: GLOBAL ON-PREMISE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 5: GLOBAL ON-PREMISE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 6: GLOBAL WEB-BASED MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 7: GLOBAL WEB-BASED MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 8: GLOBAL CLOUD-BASED MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 9: GLOBAL CLOUD-BASED MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 10: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 11: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY APPLICATION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 12: GLOBAL INFECTION PREDICTION & FORECASTING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 13: GLOBAL INFECTION PREDICTION & FORECASTING MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 14: GLOBAL DISEASE & SYNDROMIC SURVEILLANCE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 15: GLOBAL DISEASE & SYNDROMIC SURVEILLANCE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 16: GLOBAL MONITORING POPULATION HEALTH & INCIDENCE/ PREVALENCE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 17: GLOBAL MONITORING POPULATION HEALTH & INCIDENCE/ PREVALENCE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 18: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY END USE, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 19: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY END USE, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 20: GLOBAL GOVERNMENT & STATE AGENCIES MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 21: GLOBAL GOVERNMENT & STATE AGENCIES MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 22: GLOBAL RESEARCH LABS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 23: GLOBAL RESEARCH LABS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 24: GLOBAL PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 25: GLOBAL PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 26: GLOBAL HEALTHCARE PROVIDERS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 27: GLOBAL HEALTHCARE PROVIDERS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 28: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 29: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY GEOGRAPHY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 30: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 31: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 32: KEY PLAYERS OPERATING IN NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
TABLE 33: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 34: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 35: KEY PLAYERS OPERATING IN EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
TABLE 36: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 37: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 38: KEY PLAYERS OPERATING IN ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
TABLE 39: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 40: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 41: KEY PLAYERS OPERATING IN REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET
TABLE 42: LIST OF MERGERS & ACQUISITIONS
TABLE 43: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS
TABLE 44: LIST OF PARTNERSHIPS & AGREEMENTS
TABLE 45: LIST OF BUSINESS EXPANSIONS & DIVESTITURES

List of Figures

FIGURE 1: KEY MARKET TRENDS
FIGURE 2: PORTER’S FIVE FORCES ANALYSIS
FIGURE 3: GROWTH PROSPECT MAPPING
FIGURE 4: MARKET MATURITY ANALYSIS
FIGURE 5: MARKET CONCENTRATION ANALYSIS
FIGURE 6: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, GROWTH POTENTIAL, BY DEPLOYMENT, IN 2023
FIGURE 7: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY ON-PREMISE, 2024-2032 (IN $ MILLION)
FIGURE 8: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY WEB-BASED, 2024-2032 (IN $ MILLION)
FIGURE 9: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY CLOUD-BASED, 2024-2032 (IN $ MILLION)
FIGURE 10: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2023
FIGURE 11: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY INFECTION PREDICTION & FORECASTING, 2024-2032 (IN $ MILLION)
FIGURE 12: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY DISEASE & SYNDROMIC SURVEILLANCE, 2024-2032 (IN $ MILLION)
FIGURE 13: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY MONITORING POPULATION HEALTH & INCIDENCE/ PREVALENCE, 2024-2032 (IN $ MILLION)
FIGURE 14: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, GROWTH POTENTIAL, BY END USE, IN 2023
FIGURE 15: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY GOVERNMENT & STATE AGENCIES, 2024-2032 (IN $ MILLION)
FIGURE 16: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY RESEARCH LABS, 2024-2032 (IN $ MILLION)
FIGURE 17: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)
FIGURE 18: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE 19: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 20: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 21: CANADA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 22: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 23: UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 24: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 25: FRANCE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 26: ITALY ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 27: SPAIN ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 28: REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 29: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 30: CHINA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 31: JAPAN ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 32: INDIA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 33: SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 34: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 35: REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 36: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, REGIONAL OUTLOOK, 2023 & 2032 (IN %)
FIGURE 37: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)
FIGURE 38: MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN EPIDEMIOLOGY MARKET, 2024-2032 (IN $ MILLION)

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