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疫学向けAIの世界市場レポート 2024

Artificial Intelligence In Epidemiology Global Market Report 2024

出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2~10営業日

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疫学向けAIの世界市場レポート 2024
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 目次
概要

疫学向けAIの市場規模は、今後数年間で急激に成長すると予想されています。 2028年には29.2%の年間複合成長率(CAGR)で18億6,000万米ドルに成長すると予想されます。予測期間中に予想される成長は、データ統合、人口増加、世界の健康安全保障への投資増加、デジタルヘルスの採用、ワンヘルスアプローチの導入、デジタル接触追跡の利用における課題に起因すると考えられます。予測期間中に予想される主な動向には、計算能力の進歩、データ収集の技術革新、テクノロジー企業との共同作業、リアルタイムデータ共有プラットフォームの使用、AIアルゴリズムの進歩、リモートセンシング技術の進歩、疫学データのセキュリティを確保するためのブロックチェーンの応用が含まれます。

予想される慢性疾患の有病率の増加により、将来の疫学向けAI市場の成長が促進されると予想されます。慢性疾患は、持続する、または長期にわたる影響を伴う健康状態であり、通常は3か月以上続き、時間の経過とともに悪化することがよくあります。 AIは、リスク予測、疾患進行のモデリング、早期発見、診断など、慢性疾患疫学のさまざまな側面で重要な役割を果たしています。たとえば、国連(UN)の2023年 5月の報告書では、米国の死亡 10人中7人は慢性疾患が原因であり、年間170万人以上が死亡していると述べています。したがって、慢性疾患の負担の増大により、疫学向けAI市場の成長が促進されると予測されています。

遠隔医療の利用の拡大は、今後数年間で疫学向けAI市場の拡大に寄与すると予想されます。遠隔医療には、電気通信技術を通じて医療サービスを遠隔から提供することが含まれ、音声、ビデオ、またはその他の通信形式を使用して患者と医療提供者の間で医療情報を送信できるようになります。遠隔医療と疫学向けAIの組み合わせは強力な相乗効果をもたらし、公衆衛生上の懸念に対処するためのプロアクティブでデータ駆動型のアプローチを提供します。特にアウトブレイクやパンデミックの際に、健康関連データを効率的に監視、評価、対応する能力が強化されます。たとえば、オーストラリアデジタルヘルス庁の2022年8月の報告書では、2020年3月から2022年7月までに1億1,820万件の遠隔医療治療サービスが1,800万人の患者に提供され、9万5,000人を超える開業医が遠隔医療サービスを積極的に利用していることが明らかになりました。したがって、遠隔医療の採用の増加により、疫学向けAI市場が推進されています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 市場促進要因・市場抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 市場規模と成長実績、2018~2023年
  • 市場規模と成長予測、2023~2028年、2033年

第6章 市場セグメンテーション

  • 疫学向けAIの世界市場、コンポーネント別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ソフトウェア
  • サービス
  • 疫学向けAIの世界市場、展開別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ウェブベース
  • クラウドベース
  • 疫学向けAIの世界市場、アプリケーション別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 感染症予想と予測
  • 疾患・症候群の監視
  • 疫学向けAIの世界市場、最終用途別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 政府・州当局
  • 研究所
  • 製薬会社・バイオテクノロジー会社
  • 医療提供者

第7章 地域および国の分析

  • 疫学向けAIの世界市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 疫学向けAIの世界市場、国別、実績および予測、2018-2023年、2023-2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 疫学向けAI市場の競合情勢
  • 疫学向けAI市場の企業プロファイル
    • Apple Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Facebook Inc.
    • Roche Holding AG

第31章 その他の大手および革新的な企業

  • Pfizer Inc.
  • Johnson &Johnson Services Inc.
  • Amazon Web Services Inc.
  • General Electric Company
  • Google LLC
  • Intel Corporation
  • IBM Corporation
  • Merck &Co. Inc.
  • Novartis International AG
  • Sanofi SA
  • Bristol Myers Squibb Company
  • AstraZeneca PLC
  • Oracle Corporation
  • GlaxoSmithKline plc
  • NVIDIA Corporation

第32章 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと可能性の分析

第36章 付録

目次
Product Code: r14181

The application of artificial intelligence (AI) in epidemiology involves utilizing AI techniques and tools to enhance and optimize epidemiological research as well as public health interventions. AI in epidemiology aids in the analysis of extensive datasets, the identification of patterns and trends, support for decision-making processes, and the prediction of disease outbreaks to facilitate disease prevention, monitoring, and control.

The primary components of artificial intelligence in epidemiology consist of software and services. Software encompasses a set of programs, instructions, and data that enable a computer or other electronic device to perform specific tasks or operations. Software plays a pivotal role in the implementation of AI in epidemiology, facilitating the analysis of large datasets, modeling the spread of diseases, and making predictions for public health interventions. These software applications are deployed in web-based and cloud-based modes for purposes such as infection prediction and forecasting, disease surveillance, and syndromic surveillance. End-users of such applications include government and state agencies, research laboratories, pharmaceutical and biotechnology companies, as well as healthcare providers.

The artificial intelligence in epidemiology research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in epidemiology market statistics, including the artificial intelligence in epidemiology industry's global market size, regional shares, competitors with an artificial intelligence in epidemiology market share, detailed artificial intelligence in epidemiology market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in epidemiology industry. This artificial intelligence in epidemiology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

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 observed during the historical period can be attributed to the emergence of big data, globalization and increased travel, the demands of public health surveillance, challenges in responding to outbreaks, and the 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 anticipated growth in the forecast period can be ascribed to challenges in data integration, population growth, increased investments in global health security, the adoption of digital health, the implementation of a one-health approach, and the utilization of digital contact tracing. Key trends expected in the forecast period encompass advancements in computational power, technological innovations in data collection, collaborative efforts with technology companies, the use of real-time data sharing platforms, progress in AI algorithms, advancements in remote sensing technologies, and the application of blockchain for ensuring the security of epidemiological data.

The anticipated increase in the prevalence of chronic diseases is expected to drive the growth of artificial intelligence in the epidemiology market in the future. Chronic diseases are health conditions that persist or have long-lasting effects, typically lasting for three months or more and often worsening over time. AI plays a crucial role in various aspects of chronic disease epidemiology, including risk prediction, modeling disease progression, early detection, and diagnosis. For example, a May 2023 report from The United Nations (UN) stated that chronic diseases account for seven out of 10 deaths in the US, causing over 1.7 million deaths annually. Therefore, the rising burden of chronic diseases is projected to fuel the growth of artificial intelligence in the epidemiology market.

The growing utilization of telemedicine is expected to contribute to the expansion of the artificial intelligence in epidemiology market in the coming years. Telemedicine involves providing medical services remotely through telecommunications technology, enabling the transmission of medical information between patients and healthcare providers using audio, video, or other communication forms. The combination of telemedicine and artificial intelligence in epidemiology offers a powerful synergy, providing a proactive and data-driven approach to addressing public health concerns. It enhances the ability to monitor, evaluate, and respond to health-related data efficiently, particularly during outbreaks or pandemics. For example, an August 2022 report from the Australian Digital Health Agency revealed that between March 2020 and July 2022, 118.2 million telehealth treatment services were provided to 18 million patients, with over 95,000 practitioners actively using telehealth services. Hence, the increasing adoption of telemedicine is propelling the artificial intelligence in epidemiology market.

A notable trend gaining popularity in the artificial intelligence in epidemiology market is the development of specialized AI-based technologies for disease management. Key companies in this market are focusing on creating innovative technologies, such as AI-driven imaging platforms for disease management, to solidify their market position. For instance, in April 2023, Twinn.health, a US-based company specializing in fitness, AI, and machine learning, launched an AI-driven imaging platform for the early detection of age-related diseases. This platform, the first to incorporate magnetic resonance imaging (MRI) data for evaluating frailty risk, serves as a potent tool for early intervention and prevention by detecting age-related disorders earlier than traditional molecular signals and aiding in their management at an early stage.

Major companies in the artificial intelligence in epidemiology market are concentrating on innovative products, including stroke scoring tools, to better cater to the needs of their existing consumers. Stroke scoring tools are clinical assessments used by healthcare professionals to quickly and objectively evaluate the severity of a stroke. For example, in November 2022, Koninklijke Philips N.V., a Netherlands-based medical technology company, introduced the AI-powered CT ASPECT Scoring tool. This tool, applied to non-contrast CT scans, detects early indicators of brain infarction in the treatment of ischemic stroke patients. The program employs AI to automatically identify ASPECTS brain regions and generates an ASPECT score communicated directly to the Picture Archiving and Communication System (PACS). Philips also unveiled its next-generation Advanced Visualization Workspace, including a new cardiac MR Suite with a redesigned workflow and user interface.

In January 2022, Glooko Inc., a US-based digital health company specializing in diabetes management solutions, acquired Xbird for an undisclosed amount. With this acquisition, Glooko aims to reinforce its commitment to machine learning and personalized digital coaching for patients with chronic conditions. Xbird, a Berlin-based company engaged in health AI, focuses on developing JITAI (Just in Time Adaptive Intervention) technologies for proactive healthcare interventions and disease surveillance.

Major companies operating in the artificial intelligence in epidemiology market report are Apple Inc., Alphabet Inc., Microsoft Corporation, Facebook Inc., Roche Holding AG, Pfizer Inc., Johnson & Johnson Services Inc., Amazon Web Services Inc., General Electric Company, Google LLC, Intel Corporation, International Business Machines Corporation, Merck & Co. Inc., Novartis International AG, Sanofi S.A, Bristol Myers Squibb Company, AstraZeneca PLC, Oracle Corporation, GlaxoSmithKline plc, NVIDIA Corporation, Bayer Healthcare, Siemens Healthineers AG, Cognizant Technology Solutions Corporation, Koninklijke Philips N.V., SAS Institute Inc., Epic Systems Corporation, Cerner Corporation, eClinicalWorks LLC, Meditech, Komodo Health, Metabiota Inc.

North America was the largest region in the artificial intelligence in epidemiology market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in epidemiology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the artificial intelligence in epidemiology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The artificial intelligence in epidemiology market consists of revenues earned by entities by providing disease surveillance and management, predictive modeling, and risk assessment. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in epidemiology market also includes sales of real-time monitoring systems and image analysis systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence In Epidemiology Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in epidemiology market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence in epidemiology ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in epidemiology market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 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
  • Companies Mentioned: Apple Inc.; Alphabet Inc.; Microsoft Corporation; Facebook Inc.; Roche Holding AG
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence In Epidemiology Market Characteristics

3. Artificial Intelligence In Epidemiology Market Trends And Strategies

4. Artificial Intelligence In Epidemiology Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Artificial Intelligence In Epidemiology Market Size and Growth

  • 5.1. Global Artificial Intelligence In Epidemiology Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Artificial Intelligence In Epidemiology Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Artificial Intelligence In Epidemiology Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Artificial Intelligence In Epidemiology Market Segmentation

  • 6.1. Global Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software
  • Services
  • 6.2. Global Artificial Intelligence In Epidemiology Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Web-Based
  • Cloud-Based
  • 6.3. Global Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Infection Prediction And Forecasting
  • Disease And Syndromic Surveillance
  • 6.4. Global Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Government And State Agencies
  • Research Laboratories
  • Pharmaceutical And Biotechnology Companies
  • Healthcare Providers

7. Artificial Intelligence In Epidemiology Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence In Epidemiology Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Artificial Intelligence In Epidemiology Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Artificial Intelligence In Epidemiology Market

  • 8.1. Asia-Pacific Artificial Intelligence In Epidemiology Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Artificial Intelligence In Epidemiology Market

  • 9.1. China Artificial Intelligence In Epidemiology Market Overview
  • 9.2. China Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Artificial Intelligence In Epidemiology Market

  • 10.1. India Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Artificial Intelligence In Epidemiology Market

  • 11.1. Japan Artificial Intelligence In Epidemiology Market Overview
  • 11.2. Japan Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Artificial Intelligence In Epidemiology Market

  • 12.1. Australia Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Artificial Intelligence In Epidemiology Market

  • 13.1. Indonesia Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Artificial Intelligence In Epidemiology Market

  • 14.1. South Korea Artificial Intelligence In Epidemiology Market Overview
  • 14.2. South Korea Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Artificial Intelligence In Epidemiology Market

  • 15.1. Western Europe Artificial Intelligence In Epidemiology Market Overview
  • 15.2. Western Europe Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Artificial Intelligence In Epidemiology Market

  • 16.1. UK Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Artificial Intelligence In Epidemiology Market

  • 17.1. Germany Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Artificial Intelligence In Epidemiology Market

  • 18.1. France Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Artificial Intelligence In Epidemiology Market

  • 19.1. Italy Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Artificial Intelligence In Epidemiology Market

  • 20.1. Spain Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Artificial Intelligence In Epidemiology Market

  • 21.1. Eastern Europe Artificial Intelligence In Epidemiology Market Overview
  • 21.2. Eastern Europe Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Artificial Intelligence In Epidemiology Market

  • 22.1. Russia Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Artificial Intelligence In Epidemiology Market

  • 23.1. North America Artificial Intelligence In Epidemiology Market Overview
  • 23.2. North America Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Artificial Intelligence In Epidemiology Market

  • 24.1. USA Artificial Intelligence In Epidemiology Market Overview
  • 24.2. USA Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Artificial Intelligence In Epidemiology Market

  • 25.1. Canada Artificial Intelligence In Epidemiology Market Overview
  • 25.2. Canada Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Artificial Intelligence In Epidemiology Market

  • 26.1. South America Artificial Intelligence In Epidemiology Market Overview
  • 26.2. South America Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Artificial Intelligence In Epidemiology Market

  • 27.1. Brazil Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Artificial Intelligence In Epidemiology Market

  • 28.1. Middle East Artificial Intelligence In Epidemiology Market Overview
  • 28.2. Middle East Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Artificial Intelligence In Epidemiology Market

  • 29.1. Africa Artificial Intelligence In Epidemiology Market Overview
  • 29.2. Africa Artificial Intelligence In Epidemiology Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Artificial Intelligence In Epidemiology Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Artificial Intelligence In Epidemiology Market, Segmentation By End-Use, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Artificial Intelligence In Epidemiology Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence In Epidemiology Market Competitive Landscape
  • 30.2. Artificial Intelligence In Epidemiology Market Company Profiles
    • 30.2.1. Apple Inc.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Alphabet Inc.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Microsoft Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Facebook Inc.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Roche Holding AG
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Artificial Intelligence In Epidemiology Market Other Major And Innovative Companies

  • 31.1. Pfizer Inc.
  • 31.2. Johnson & Johnson Services Inc.
  • 31.3. Amazon Web Services Inc.
  • 31.4. General Electric Company
  • 31.5. Google LLC
  • 31.6. Intel Corporation
  • 31.7. IBM Corporation
  • 31.8. Merck & Co. Inc.
  • 31.9. Novartis International AG
  • 31.10. Sanofi S.A
  • 31.11. Bristol Myers Squibb Company
  • 31.12. AstraZeneca PLC
  • 31.13. Oracle Corporation
  • 31.14. GlaxoSmithKline plc
  • 31.15. NVIDIA Corporation

32. Global Artificial Intelligence In Epidemiology Market Competitive Benchmarking

33. Global Artificial Intelligence In Epidemiology Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Artificial Intelligence In Epidemiology Market

35. Artificial Intelligence In Epidemiology Market Future Outlook and Potential Analysis

  • 35.1 Artificial Intelligence In Epidemiology Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence In Epidemiology Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence In Epidemiology Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer