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疫学市場における人工知能 (AI) :AIタイプ・インフラ・展開モデル・サービス別:2021~2026年

Artificial Intelligence in Epidemiology Market by AI Type, Infrastructure, Deployment Model, and Services 2021 - 2026

出版日: | 発行: Mind Commerce | ページ情報: 英文 112 Pages | 納期: 即日から翌営業日

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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=108.90円
疫学市場における人工知能 (AI) :AIタイプ・インフラ・展開モデル・サービス別:2021~2026年
出版日: 2021年01月08日
発行: Mind Commerce
ページ情報: 英文 112 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

AIは、一斉通知など、さまざまな疾病関連のパブリックヘルス (公衆衛生)および安全サービスをサポートします。

世界の疫学におけるAIの市場規模は、2026年までに97億米ドルへ達すると予測されています。疫学市場における機械学習は、2026年までに12億米ドルへ達する見込みです。ワクチンのR&Dに関連して、創薬・リスク分析におけるAIは2026年までに6億9900万米ドルへ達すると予測されています。

当レポートでは、世界の疫学市場における人工知能 (AI) について調査し、市場概要、技術とアプリケーション、各セグメントおよび地域別によるの市場分析と予測、および主要企業などについて、体系的な情報を提供しています。

目次

第1章 エグゼクティブサマリー

第2章 イントロダクション

  • パブリックヘルスインフォマティクス (PHI) の定義
    • PHIにおける疫学
    • 疫学およびパブリックヘルスインフォマティクスにおけるAI
    • メディカルインフォマティクス vs. ヘルスインフォマティクス
  • ソーシャルテクニカルインフォマティクス技術スタック
  • 疫学およびパブリックヘルスインフォマティクスプロセス
    • データの収集
    • 研究モデルの定義
    • データストレージ
    • データ品質保証
    • データ解析
  • 計算疫学
  • 感染症 vs/ 非感染症
  • COVID19パンデミックとパブリックヘルス
  • 成長要因分析
  • 市場の課題分析
  • パブリックヘルス政策と成果
    • パブリックヘルスデータ交換
  • 規制分析
    • GDPR
    • HIPAA
    • ISO規格
    • HITECH
    • ETSI
  • バリューチェーン分析
    • データウェアハウス
    • AI企業
    • ソフトウェア開発
    • 半導体プロバイダー
    • インフラストラクチャおよび接続プロバイダー
    • 分析プロバイダー
    • ヘルスケアサービスプロバイダー
    • 規制機関

第3章 技術とアプリケーションの分析

  • ハードウェア技術分析
    • AIプロセッサとチップセット
    • メモリチップ
    • ネットワークアダプタ
    • 3Dセンサー
  • ソフトウェア技術分析
    • AIソリューション:クラウドとオンプレミスソフトウェア
    • AIプラットフォームフレームワークとAPI
  • AI技術分析
    • 機械学習とディープラーニング
    • 自然言語処理(NLP)
    • コンピュータビジョン:画像及び音声プロセッシング
    • ニューラルネットワークプロセッシング
    • コンテキストアウェアプロセッシング
  • イネーブリング技術の分析
    • 電子健康記録
    • ソーシャルメディア分析
    • 交通監視システム
    • デジタルヘルスパスポート
    • コンピュータベースのシミュレーションモデル
    • 保護具および機器
    • 遠隔医療ソリューション
    • セマンティクスベースの健康情報システム
    • 医療情報技術
      • 電子データキャプチャ
      • 臨床データ管理システム
      • 患者データ管理システム
      • 研究室情報管理システム
      • Internet of Healthcare Technology (IoHT)
  • アプリケーション分析
    • 病気と症候群の監視
    • 感染の予測
    • 予防接種情報システム
    • 世論分析
    • 環境影響分析
    • 創薬、安全性、およびリスク分析
    • 人口と発生率の監視
    • 知識表現と一斉通知
  • 業界の使用事例分析
    • 政府および州の機関
    • MassHealth ACOSおよびMCOS
    • 調査
    • 医薬品企業
    • 病院、専門クリニック、およびヘルスケアプロバイダー

第4章 企業の分析

  • Abbott Informatics
  • AdvancedMD (Global Payments)
  • Agilent Technologies
  • Allscripts Healthcare
  • Athenahealth
  • Autoscribe Informatics
  • Cerner Corporation
  • Change Healthcare
  • Cognizant
  • CPSI
  • CureMD Healthcare
  • eClinicalWorks
  • e-Mds Inc.
  • Epic Systems
  • GE Healthcare
  • Google
  • IBM
  • Intel
  • Philips Healthcare
  • Microsoft
  • Medtronic
  • Greenway Health
  • Graphcore
  • InterSystems
  • Kareo
  • Medhost
  • Meditech
  • Micron Technology
  • NextGen Healthcare
  • NVIDIA
  • Optum Inc.

第5章 市場分析と予測

  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:セグメント別
    • ハードウェア
    • ソフトウェア
    • AI
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:技術別
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:アプリケーション別
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:業界別
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:疾患別
  • 世界のAI疫学およびパブリックヘルスインフォマティクス市場:地域別
    • 北米市場:ハードウェア、ソフトウェア、技術、アプリケーション、疾患、国
    • 欧州市場:ハードウェア、ソフトウェア、技術、アプリケーション、疾患、国
    • アジア太平洋市場:ハードウェア、ソフトウェア、技術、アプリケーション、疾患、国
    • 中東・アフリカ市場:ハードウェア、ソフトウェア、技術、アプリケーション、疾患、国
    • ラテンアメリカ市場:ハードウェア、ソフトウェア、技術、アプリケーション、疾患、国

第6章 結論・提言

目次

Overview:

This global AI epidemiology and public health market report provides a comprehensive evaluation of the positive impact that AI technology will produce with respect to the healthcare informatics, and public healthcare management, and epidemiology analysis and response. The report assesses the macro factors affecting the market and the resulting need for hardware and software technology used in the public healthcare and epidemiology informatics.

The macro factors include the growth drivers and challenges of the market along with the potential application and usage areas in public health industry verticals. The report also provides the anticipated market value of AI in the public health and epidemiology informatics market globally and regionally. This includes core technology and AI-specific technologies. Market forecasts cover the period of 2021 - 2026.

Select Report Findings:

  • The total global AI in epidemiology market will reach USD $9.7 billion by 2026
  • Machine learning in the epidemiology market will reach USD $1.2 billion by 2026
  • Related to vaccine R&D, AI in drug discovery and risk analysis will reach $699 million by 2026
  • AI will support various disease-related public health and safety services such as mass notification
  • EHR databases will be the foundation, but AI will leverage many sources for disease-related data aggregation
  • Epidemiologic predictive models will be dramatically improved though advanced data analytics and various AI tools and techniques
  • AI improves the efficiency and effectiveness of transforming healthcare data correlation to meaningful disease insights and information

The Center for Disease Control and Prevention sees epidemiology as the study and analysis of the distribution, patterns and determinants of health and disease conditions in defined populations. It is a cornerstone of public health, and shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive healthcare.

This includes identification of the factors involved with diseases transmitted by food and water, acquired during travel or recreational activities, bloodborne and sexually transmitted diseases, and nosocomial infections such as hospital-acquired illnesses. Epidemiology is also concerned with the identification of trends and predictive capabilities to prevent diseases.

Sources of disease data include medical claims data (commercial claims, Medicare), electronic healthcare records (EHR) including medical treatment facilities and pharmacies, death registries and socioeconomic data. It is important to note that some data is highly structured whereas other data elements are highly unstructured, such as data gathered from social media and Web scraping.

Artificial Intelligence (AI) will increasingly be relied upon to improve the efficiency and effectiveness of transforming data correlation to meaningful insights and information. For example, machine learning has been used to gather Web search and location data as a means of identifying potential unsafe areas, such as restaurants involved in food-borne illnesses.

The combination of data aggregation from multiple sources with machine learning and advanced analytics will greatly improve the efficacy of epidemiology predictive models. For example, machine learning allows epidemiologists to evaluate as many variables as desired without increasing statistical error, a problem that often arises with multiple testing bias, which is a condition that occurs when each additional test run on the data increases the possibility for error against a hypothetical target result.

Another example of AI in epidemiology is the use of natural language processing to capture clinical notes for preservation in EHR databases. As part of data capture and identification of most important information, AI will also be used to validate key terms to identify conditions, diagnoses and exposures that are otherwise difficult to capture/identify through traditional data source mining. This will be used for data discovery and validation as well as knowledge representation.

An extremely important and high growth area for AI in epidemiology is drug discovery, safety, and risk analysis, which Mind Commerce estimates will be a $699 million global market by 2026. Other high opportunity areas for AI are disease and syndromic surveillance, infection prediction and forecasting, monitoring population and incidence of disease, and use of AI in Immunization Information Systems (IIS). In addition to mapping vaccinations to disease incidence, the IIS will leverage AI to identify the impact of public sentiment analysis and for public safety services such as mass notification.

Target Audience:

  • AI vendors
  • Public health institutions
  • Healthcare solution providers
  • Integrated health services providers
  • Vaccine development research companies
  • Healthcare decision support system providers

Report Benefits:

  • Identify opportunities to leverage AI for drug discovery, disease control, and prevention
  • Understand the role and importance of various AI technologies in epidemiologic science
  • Recognize the growing importance of AI in public health in light of the COVID19 pandemic
  • Identify leading companies involved in epidemiologic R&D and leveraging AI for optimization
  • Understand how the use of AI in disease control will shape public policy including data capture
  • Recognize the importance of merging public and private data and the role of unstructured data
  • Identify opportunities for AI infrastructure and services in epidemiologic science and technology

Companies in Report:

  • 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.
  • Philips Heal

Table of Contents

1.0 Executive Summary

2.0 Introduction

  • 2.1 Defining Public Health Informatics
    • 2.1.1 Epidemiology in PHI
      • 2.1.1.1 Viral Disease Epidemiology
    • 2.1.2 AI in Epidemiology and Public Health Informatics
    • 2.1.3 Medical Informatics vs. Health Informatics
  • 2.2 Social Technical Informatics Technology Stack
  • 2.3 Epidemiology and Public Health Informatics Process
    • 2.3.1 Collection of Data
    • 2.3.2 Defining Study Model
    • 2.3.3 Data Storage
    • 2.3.4 Data Quality Assurance
    • 2.3.5 Data Analysis
  • 2.4 Computational Epidemiology
  • 2.5 Infectious vs. Non-infectious Diseases
  • 2.6 COVID 19 Pandemic and Public Health
  • 2.7 Growth Driver Analysis
  • 2.8 Market Challenge Analysis
  • 2.9 Public Health Policy and Outcomes
    • 2.9.1 Public Health Data Exchange
  • 2.10 Regulatory Analysis
    • 2.10.1 GDPR
    • 2.10.2 HIPAA
    • 2.10.3 ISO Standards
    • 2.10.4 HITECH
    • 2.10.5 ETSI
  • 2.11 Value Chain Analysis
    • 2.11.1 Data Warehouse
    • 2.11.2 AI Companies
    • 2.11.3 Software Development
    • 2.11.4 Semiconductor Providers
    • 2.11.5 Infrastructure and Connectivity Providers
    • 2.11.6 Analytics Providers
    • 2.11.7 Healthcare Service Providers
    • 2.11.8 Regulatory Bodies

3.0 Technology and Application Analysis

  • 3.1 Hardware Technology Analysis
    • 3.1.1 AI Processors and Chipsets
      • 3.1.1.1 Microprocessor Unit (MPU)
      • 3.1.1.2 Tensor Processing Unit (TPU)
      • 3.1.1.3 Graphics Processing Unit (GPU)
      • 3.1.1.4 Field-Programmable Gate Array (FPGA)
      • 3.1.1.5 Application Specific Integrated Circuits (ASIC)
      • 3.1.1.6 Intelligent Processing Unit (IPU)
    • 3.1.2 Memory Chip
    • 3.1.3 Network Adaptor
    • 3.1.4 3D Sensors
  • 3.2 Software Technology Analysis
    • 3.2.1 AI Solution: Cloud vs. On-premise Software
    • 3.2.2 AI Platform Framework and APIs
  • 3.3 AI Technology Analysis
    • 3.3.1 Machine Learning and Deep Learning
    • 3.3.2 Natural Language Processing (NLP)
    • 3.3.3 Computer Vision: Image and Voice Processing
    • 3.3.4 Neural Network Processing
    • 3.3.5 Context Aware Processing
  • 3.4 Enabling Technology Analysis
    • 3.4.1 Electronic Health Records
    • 3.4.2 Social Media Analytics
    • 3.4.3 Traffic Surveillance Systems
    • 3.4.4 Digital Health Passports
    • 3.4.5 Computer Based Simulation Models
    • 3.4.6 Protective Gear and Equipment
    • 3.4.7 Telemedicine Solutions
    • 3.4.8 Semantics-Based Health Information System
    • 3.4.9 Health Information Technology
      • 3.4.10 Electronic Data Capture
      • 3.4.11 Clinical Data Management Systems
      • 3.4.12 Patient Data Management System
      • 3.4.13 Laboratory Information Management Systems
      • 3.4.14 Internet of Healthcare Technology
  • 3.5 Application Analysis
    • 3.5.1 Disease and Syndromic Surveillance
    • 3.5.2 Infection Prediction and Forecasting
    • 3.5.3 Immunization Information Systems
    • 3.5.4 Public Sentiment Analysis
    • 3.5.5 Environmental Impact Analysis
    • 3.5.6 Drug Discovery, Safety, and Risk Analysis
    • 3.5.7 Monitoring Population and Incidence
    • 3.5.8 Knowledge Representation and Mass Notification
  • 3.6 Industry Use Case Analysis
    • 3.6.1 Government and State Agencies
    • 3.6.2 MassHealth ACOS and MCOS
    • 3.6.3 Research Labs
    • 3.6.4 Pharmaceuticals Company
    • 3.6.5 Hospital, Specialty Clinics, and Healthcare Providers

4.0 Company Analysis

  • 4.1 Abbott Informatics
  • 4.2 AdvancedMD (Global Payments)
  • 4.3 Agilent Technologies
  • 4.4 Allscripts Healthcare
  • 4.5 Athenahealth
  • 4.6 Autoscribe Informatics
  • 4.7 Cerner Corporation
  • 4.8 Change Healthcare
  • 4.9 Cognizant
  • 4.10 CPSI
  • 4.11 CureMD Healthcare
  • 4.12 eClinicalWorks
  • 4.13 e-Mds Inc.
  • 4.14 Epic Systems
  • 4.15 GE Healthcare
  • 4.16 Google
  • 4.17 IBM
  • 4.18 Intel
  • 4.19 Philips Healthcare
  • 4.20 Microsoft
  • 4.21 Medtronic
  • 4.22 Greenway Health
  • 4.23 Graphcore
  • 4.24 InterSystems
  • 4.25 Kareo
  • 4.26 Medhost
  • 4.27 Meditech
  • 4.28 Micron Technology
  • 4.29 NextGen Healthcare
  • 4.30 NVIDIA
  • 4.31 Optum Inc.

5.0 Market Analysis and Forecasts 2021 - 2026

  • 5.1 Global AI Epidemiology and Public Health Informatics Market 2021 - 2026
  • 5.2 Global AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
    • 5.2.1 Global AI Epidemiology and Public Health Informatics Market by Hardware
      • 5.2.1.1 Global AI Epidemiology and Public Health Informatics Market by AI Processor/Chipsets
    • 5.2.2 Global AI Epidemiology and Public Health Informatics Market by Software
      • 5.2.2.1 Global AI Epidemiology and Public Health Informatics Market by AI Solutions
      • 5.2.2.2 Global AI Epidemiology and Public Health Informatics Market by AI Platforms
    • 5.2.3 Global AI Epidemiology and Public Health Informatics Market by Service
      • 5.2.3.1 Global AI Epidemiology and Public Health Informatics Market by Professional Service
  • 5.3 Global AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • 5.4 Global AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • 5.5 Global AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • 5.6 Global AI Epidemiology and Public Health Informatics Market by Diseases
  • 5.7 Global AI Epidemiology and Public Health Informatics Market by Region 2021 - 2026
    • 5.7.1 North America AI Epidemiology and Public Health Informatics Market: Hardware, Software, Technology, Application, Diseases, Country
    • 5.7.2 Europe AI Epidemiology and Public Health Informatics Market: Hardware, Software, Technology, Application, Diseases, Country
    • 5.7.3 APAC AI Epidemiology and Public Health Informatics Market: Hardware, Software, Technology, Application, Diseases, Country
    • 5.7.4 MEA AI Epidemiology and Public Health Informatics Market: Hardware, Software, Technology, Application, Diseases, Country
    • 5.7.5 Latin America AI Epidemiology and Public Health Informatics Market: Hardware, Software, Technology, Application, Diseases, Country

6.0 Conclusions and Recommendations

Figures

  • Figure 1: Public Health Informatics Scope/Structure
  • Figure 2: Social Technical Mapping for Public Health Informatics
  • Figure 3: Evidence Based Public Policy Structure
  • Figure 4: AI Chipset Technology Matrix
  • Figure 5: AI Technology Matrix
  • Figure 6: Smart Protective Gear and Equipment
  • Figure 7: Public Health Informatics Application
  • Figure 8: Global AI Epidemiology and Public Health Informatics Market 2021 - 2026

Tables

  • Table 1: Global AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 2: Global AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 3: Global AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 4: Global AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 5: Global AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 6: Global AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 7: Global AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 8: Global AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 9: Global AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 10: Global AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 11: Global AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 12: Global AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 13: Global AI Epidemiology and Public Health Informatics Market by Region 2021 - 2026
  • Table 14: North America AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 15: North America AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 16: North America AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 17: North America AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 18: North America AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 19: North America AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 20: North America AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 21: North America AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 22: North America AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 23: North America AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 24: North America AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 25: North America AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 26: North America AI Epidemiology and Public Health Informatics Market by Country 2021 - 2026
  • Table 27: Europe AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 28: Europe AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 29: Europe AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 30: Europe AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 31: Europe AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 32: Europe AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 33: Europe AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 34: Europe AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 35: Europe AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 36: Europe AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 37: Europe AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 38: Europe AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 39: Europe AI Epidemiology and Public Health Informatics Market by Country 2021 - 2026
  • Table 40: APAC AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 41: APAC AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 42: APAC AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 43: APAC AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 44: APAC AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 45: APAC AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 46: APAC AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 47: APAC AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 48: APAC AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 49: APAC AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 50: APAC AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 51: APAC AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 52: APAC AI Epidemiology and Public Health Informatics Market by Country 2021 - 2026
  • Table 53: MEA AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 54: MEA AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 55: MEA AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 56: MEA AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 57: MEA AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 58: MEA AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 59: MEA AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 60: MEA AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 61: MEA AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 62: MEA AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 63: MEA AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 64: MEA AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 65: MEA AI Epidemiology and Public Health Informatics Market by Country 2021 - 2026
  • Table 66: Latin America AI Epidemiology and Public Health Informatics Market by Segment 2021 - 2026
  • Table 67: Latin America AI Epidemiology and Public Health Informatics Market by Hardware 2021 - 2026
  • Table 68: Latin America AI Epidemiology and Public Health Informatics Technology Market by AI Processor/Chipsets 2021 - 2026
  • Table 69: Latin America AI Epidemiology and Public Health Informatics Market by Software 2021 - 2026
  • Table 70: Latin America AI Epidemiology and Public Health Informatics Market by AI Solutions 2021 - 2026
  • Table 71: Latin America AI Epidemiology and Public Health Informatics Market by AI Platforms 2021 - 2026
  • Table 72: Latin America AI Epidemiology and Public Health Informatics Market by Service 2021 - 2026
  • Table 73: Latin America AI Epidemiology and Public Health Informatics Market by Professional Service 2021 - 2026
  • Table 74: Latin America AI Epidemiology and Public Health Informatics Market by Technology 2021 - 2026
  • Table 75: Latin America AI Epidemiology and Public Health Informatics Market by Application 2021 - 2026
  • Table 76: Latin America AI Epidemiology and Public Health Informatics Market by Industry Vertical 2021 - 2026
  • Table 77: Latin America AI Epidemiology and Public Health Informatics Market by Diseases 2021 - 2026
  • Table 78: Latin America AI Epidemiology and Public Health Informatics Market by Country 2021 - 2026
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