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Artificial Intelligence (AI) in Healthcare - Thematic Research

出版商 GlobalData 商品編碼 1016713
出版日期 內容資訊 英文 60 Pages
醫療保健的人工智慧:各主題調查 Artificial Intelligence (AI) in Healthcare - Thematic Research
出版日期: 2021年04月30日內容資訊: 英文 60 Pages

人工智慧是這十年來最突出的技術主題之一。COVID-19 導致整個醫療保健行業的數位化轉型空前加速。醫療保健提供者、付款人、製藥和醫療設備公司不得不迅速適應大流行的許多障礙和要求。機器學習(ML)和資料科學是醫療保健行業價值鏈所有組成部分中應用最多的AI技術。透過預測資料,人工智慧可以提供整個供應鏈的完整可見性。從供應鏈的每個階段收集資料,然後透過機器學習算法進行分析,以產生提高效率和生產力的方法。





  • AI價值鏈
  • 醫療保健的課題
  • 市場規模與成長預測
  • 合併和收購
  • AI時間軸
  • 企業
  • 部門計分卡
  • 詞彙表
  • 參考文件
  • 各主題調查手法
  • 關於GlobalData
  • 諮詢方式


Product Code: GDHC-TR-S029

AI is one of the most prominent technology themes of the decade. COVID-19 has led to an unprecedented acceleration of digital transformation across the healthcare industry. Healthcare providers, payers, pharma and medical device companies have had to rapidly adjust to the pandemic's many hurdles and demands.

This report helps companies understand the competitive landscape for AI in the healthcare industry, compare their AI strategy with leaders in the industry and identify the leading AI vendors that they can partner with to make their vision a reality. The applications of AI in healthcare are many, with the potential to transform key aspects of the industry and drive innovation. Companies in every industry face disruption from AI, and those who fail to implement AI in their business models and strategies will risk failure.

Key Highlights

  • Healthcare, including pharma, medical devices, healthcare providers, and payers, is a highly regulated industry, and therefore can be slow to adopt new technologies and modernize.
  • Machine learning (ML) and data science are the most applied AI technology across all components of the value chain within the healthcare sector. With predictive data, AI can provide complete visibility of the entire supply chain. Data are collected from each stage of the supply chain and then analysed by ML algorithms to generate ways to increase efficiency and productivity.
  • AI conversational platforms is used for end-users to help in improving patient outcomes and thereby increase the efficiency of patient flow.


  • A breakdown of the comprehensive AI value chain and identification of the seven key AI technologies, explanation of what they are and how they are used.
  • Explanation of how AI impacts the healthcare industry and how it can help solve each of the challenges faced by companies in the pharma, medical devices, healthcare providers and payers' sectors.
  • Case studies, and analysis of sector-specific applications of AI in the healthcare industry.
  • Listing of all related M&A activity deals in the healthcare industry from 2018-present.
  • Forecast data from 2019 up to 2024 of the estimated revenue from AI platforms in the healthcare market.
  • Extensive coverage and analysis of relevant companies' positions in the AI theme.
  • GlobalData's healthcare, medical devices and drug development scorecard, which scores companies based on the most important themes in the healthcare sector including AI theme.

Reasons to Buy

  • Prioritise investments in the areas of AI. Informed by GlobalData's technology and healthcare analysts, we also provide recommendations on the area of the value chain you should focus on and highlight the parts you can confidently ignore to deliver the best results for your business.
  • Identify leading AI vendors in healthcare providers, payers, pharma and medical devices sector and shortlist potential partners based on their areas of expertise and historic partnerships.
  • Gain a deeper understanding of the competitive landscape of the industry and spot gaps in the market for new uses of AI.
  • Quantify the global sales opportunity for AI services to the healthcare industry by accessing GlobalData's market size and forecasts (2019-2024) produced by our technology and healthcare analysts.

Table of Contents

Table of Contents

Executive summary

  • AI value chain
  • Healthcare challenges
  • Market size and growth forecasts
  • Mergers and acquisitions
  • AI timeline
  • Companies
  • Sector scorecards
  • Glossary
  • Further reading
  • Our thematic research methodology
  • About GlobalData
  • Contact Us