
The global Artificial Intelligence in Epidemiology market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/120 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Epidemiology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Epidemiology.
Report Scope
The Artificial Intelligence in Epidemiology market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in Epidemiology market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in Epidemiology companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Google
Graphcore
Greenway Health
IBM
Intel
InterSystems
Kareo
Medhost
Meditech
Medtronic
Micron Technology
Microsoft
NextGen Healthcare
Nvidia
Optum Inc.
Segment by Type
Hardware Technology
Software Technology
Segment by Application
Disease and Syndromic Surveillance
Infection Prediction and Forecasting
Immunization Information Systems
Public Sentiment Analysis
Environmental Impact Analysis
Drug Discovery, Safety, and Risk Analysis
Monitoring Population and Incidence
Knowledge Representation and Mass Notification
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in Epidemiology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Epidemiology Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware Technology
1.2.3 Software Technology
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Epidemiology Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Disease and Syndromic Surveillance
1.3.3 Infection Prediction and Forecasting
1.3.4 Immunization Information Systems
1.3.5 Public Sentiment Analysis
1.3.6 Environmental Impact Analysis
1.3.7 Drug Discovery, Safety, and Risk Analysis
1.3.8 Monitoring Population and Incidence
1.3.9 Knowledge Representation and Mass Notification
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Epidemiology Market Perspective (2019-2030)
2.2 Artificial Intelligence in Epidemiology Growth Trends by Region
2.2.1 Global Artificial Intelligence in Epidemiology Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Epidemiology Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Epidemiology Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence in Epidemiology Market Dynamics
2.3.1 Artificial Intelligence in Epidemiology Industry Trends
2.3.2 Artificial Intelligence in Epidemiology Market Drivers
2.3.3 Artificial Intelligence in Epidemiology Market Challenges
2.3.4 Artificial Intelligence in Epidemiology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Epidemiology Players by Revenue
3.1.1 Global Top Artificial Intelligence in Epidemiology Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in Epidemiology Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence in Epidemiology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Epidemiology Revenue
3.4 Global Artificial Intelligence in Epidemiology Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Epidemiology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Epidemiology Revenue in 2023
3.5 Artificial Intelligence in Epidemiology Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Epidemiology Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Epidemiology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Epidemiology Breakdown Data by Type
4.1 Global Artificial Intelligence in Epidemiology Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence in Epidemiology Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence in Epidemiology Breakdown Data by Application
5.1 Global Artificial Intelligence in Epidemiology Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Epidemiology Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Epidemiology Market Size (2019-2030)
6.2 North America Artificial Intelligence in Epidemiology Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in Epidemiology Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence in Epidemiology Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Epidemiology Market Size (2019-2030)
7.2 Europe Artificial Intelligence in Epidemiology Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in Epidemiology Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in Epidemiology Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Epidemiology Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Epidemiology Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in Epidemiology Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in Epidemiology Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in Epidemiology Market Size (2019-2030)
9.2 Latin America Artificial Intelligence in Epidemiology Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in Epidemiology Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in Epidemiology Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Epidemiology Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Epidemiology Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in Epidemiology Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in Epidemiology Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Abbott Informatics
11.1.1 Abbott Informatics Company Detail
11.1.2 Abbott Informatics Business Overview
11.1.3 Abbott Informatics Artificial Intelligence in Epidemiology Introduction
11.1.4 Abbott Informatics Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.1.5 Abbott Informatics Recent Development
11.2 AdvancedMD
11.2.1 AdvancedMD Company Detail
11.2.2 AdvancedMD Business Overview
11.2.3 AdvancedMD Artificial Intelligence in Epidemiology Introduction
11.2.4 AdvancedMD Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.2.5 AdvancedMD Recent Development
11.3 Agilent Technologies
11.3.1 Agilent Technologies Company Detail
11.3.2 Agilent Technologies Business Overview
11.3.3 Agilent Technologies Artificial Intelligence in Epidemiology Introduction
11.3.4 Agilent Technologies Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.3.5 Agilent Technologies Recent Development
11.4 Allscripts Healthcare
11.4.1 Allscripts Healthcare Company Detail
11.4.2 Allscripts Healthcare Business Overview
11.4.3 Allscripts Healthcare Artificial Intelligence in Epidemiology Introduction
11.4.4 Allscripts Healthcare Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.4.5 Allscripts Healthcare Recent Development
11.5 Athenahealth
11.5.1 Athenahealth Company Detail
11.5.2 Athenahealth Business Overview
11.5.3 Athenahealth Artificial Intelligence in Epidemiology Introduction
11.5.4 Athenahealth Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.5.5 Athenahealth Recent Development
11.6 Autoscribe Informatics
11.6.1 Autoscribe Informatics Company Detail
11.6.2 Autoscribe Informatics Business Overview
11.6.3 Autoscribe Informatics Artificial Intelligence in Epidemiology Introduction
11.6.4 Autoscribe Informatics Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.6.5 Autoscribe Informatics Recent Development
11.7 Cerner Corporation
11.7.1 Cerner Corporation Company Detail
11.7.2 Cerner Corporation Business Overview
11.7.3 Cerner Corporation Artificial Intelligence in Epidemiology Introduction
11.7.4 Cerner Corporation Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.7.5 Cerner Corporation Recent Development
11.8 Change Healthcare
11.8.1 Change Healthcare Company Detail
11.8.2 Change Healthcare Business Overview
11.8.3 Change Healthcare Artificial Intelligence in Epidemiology Introduction
11.8.4 Change Healthcare Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.8.5 Change Healthcare Recent Development
11.9 Cognizant
11.9.1 Cognizant Company Detail
11.9.2 Cognizant Business Overview
11.9.3 Cognizant Artificial Intelligence in Epidemiology Introduction
11.9.4 Cognizant Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.9.5 Cognizant Recent Development
11.10 CPSI
11.10.1 CPSI Company Detail
11.10.2 CPSI Business Overview
11.10.3 CPSI Artificial Intelligence in Epidemiology Introduction
11.10.4 CPSI Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.10.5 CPSI Recent Development
11.11 CureMD Healthcare
11.11.1 CureMD Healthcare Company Detail
11.11.2 CureMD Healthcare Business Overview
11.11.3 CureMD Healthcare Artificial Intelligence in Epidemiology Introduction
11.11.4 CureMD Healthcare Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.11.5 CureMD Healthcare Recent Development
11.12 eClinicalWorks
11.12.1 eClinicalWorks Company Detail
11.12.2 eClinicalWorks Business Overview
11.12.3 eClinicalWorks Artificial Intelligence in Epidemiology Introduction
11.12.4 eClinicalWorks Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.12.5 eClinicalWorks Recent Development
11.13 e-Mds Inc.
11.13.1 e-Mds Inc. Company Detail
11.13.2 e-Mds Inc. Business Overview
11.13.3 e-Mds Inc. Artificial Intelligence in Epidemiology Introduction
11.13.4 e-Mds Inc. Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.13.5 e-Mds Inc. Recent Development
11.14 Epic Systems
11.14.1 Epic Systems Company Detail
11.14.2 Epic Systems Business Overview
11.14.3 Epic Systems Artificial Intelligence in Epidemiology Introduction
11.14.4 Epic Systems Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.14.5 Epic Systems Recent Development
11.15 GE Healthcare
11.15.1 GE Healthcare Company Detail
11.15.2 GE Healthcare Business Overview
11.15.3 GE Healthcare Artificial Intelligence in Epidemiology Introduction
11.15.4 GE Healthcare Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.15.5 GE Healthcare Recent Development
11.16 Google
11.16.1 Google Company Detail
11.16.2 Google Business Overview
11.16.3 Google Artificial Intelligence in Epidemiology Introduction
11.16.4 Google Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.16.5 Google Recent Development
11.17 Graphcore
11.17.1 Graphcore Company Detail
11.17.2 Graphcore Business Overview
11.17.3 Graphcore Artificial Intelligence in Epidemiology Introduction
11.17.4 Graphcore Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.17.5 Graphcore Recent Development
11.18 Greenway Health
11.18.1 Greenway Health Company Detail
11.18.2 Greenway Health Business Overview
11.18.3 Greenway Health Artificial Intelligence in Epidemiology Introduction
11.18.4 Greenway Health Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.18.5 Greenway Health Recent Development
11.19 IBM
11.19.1 IBM Company Detail
11.19.2 IBM Business Overview
11.19.3 IBM Artificial Intelligence in Epidemiology Introduction
11.19.4 IBM Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.19.5 IBM Recent Development
11.20 Intel
11.20.1 Intel Company Detail
11.20.2 Intel Business Overview
11.20.3 Intel Artificial Intelligence in Epidemiology Introduction
11.20.4 Intel Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.20.5 Intel Recent Development
11.21 InterSystems
11.21.1 InterSystems Company Detail
11.21.2 InterSystems Business Overview
11.21.3 InterSystems Artificial Intelligence in Epidemiology Introduction
11.21.4 InterSystems Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.21.5 InterSystems Recent Development
11.22 Kareo
11.22.1 Kareo Company Detail
11.22.2 Kareo Business Overview
11.22.3 Kareo Artificial Intelligence in Epidemiology Introduction
11.22.4 Kareo Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.22.5 Kareo Recent Development
11.23 Medhost
11.23.1 Medhost Company Detail
11.23.2 Medhost Business Overview
11.23.3 Medhost Artificial Intelligence in Epidemiology Introduction
11.23.4 Medhost Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.23.5 Medhost Recent Development
11.24 Meditech
11.24.1 Meditech Company Detail
11.24.2 Meditech Business Overview
11.24.3 Meditech Artificial Intelligence in Epidemiology Introduction
11.24.4 Meditech Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.24.5 Meditech Recent Development
11.25 Medtronic
11.25.1 Medtronic Company Detail
11.25.2 Medtronic Business Overview
11.25.3 Medtronic Artificial Intelligence in Epidemiology Introduction
11.25.4 Medtronic Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.25.5 Medtronic Recent Development
11.26 Micron Technology
11.26.1 Micron Technology Company Detail
11.26.2 Micron Technology Business Overview
11.26.3 Micron Technology Artificial Intelligence in Epidemiology Introduction
11.26.4 Micron Technology Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.26.5 Micron Technology Recent Development
11.27 Microsoft
11.27.1 Microsoft Company Detail
11.27.2 Microsoft Business Overview
11.27.3 Microsoft Artificial Intelligence in Epidemiology Introduction
11.27.4 Microsoft Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.27.5 Microsoft Recent Development
11.28 NextGen Healthcare
11.28.1 NextGen Healthcare Company Detail
11.28.2 NextGen Healthcare Business Overview
11.28.3 NextGen Healthcare Artificial Intelligence in Epidemiology Introduction
11.28.4 NextGen Healthcare Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.28.5 NextGen Healthcare Recent Development
11.29 Nvidia
11.29.1 Nvidia Company Detail
11.29.2 Nvidia Business Overview
11.29.3 Nvidia Artificial Intelligence in Epidemiology Introduction
11.29.4 Nvidia Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.29.5 Nvidia Recent Development
11.30 Optum Inc.
11.30.1 Optum Inc. Company Detail
11.30.2 Optum Inc. Business Overview
11.30.3 Optum Inc. Artificial Intelligence in Epidemiology Introduction
11.30.4 Optum Inc. Revenue in Artificial Intelligence in Epidemiology Business (2019-2024)
11.30.5 Optum Inc. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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
Google
Graphcore
Greenway Health
IBM
Intel
InterSystems
Kareo
Medhost
Meditech
Medtronic
Micron Technology
Microsoft
NextGen Healthcare
Nvidia
Optum Inc.
Ìý
Ìý
*If Applicable.
