Global AI in Medication Management Market

AI in Medication Management Comprehensive Study by Type (Hardware, Software, Services), Application (Patient data and Risk analysis, Inpatient care & Hospital Management, Medical Imaging and Diagnostics, Lifestyle Management and Monitoring, Virtual Assistant, Drug Discovery, Research, Healthcare Assistance Robots, Precision Medicine, Emergency Room & Robot Assisted Surgery, Wearables, Mental Health, Fraud Detection, Cybersecurity, Clinical Trial Participant Identifier, Others), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Querying Method) Players and Region - Global Market Outlook to 2028

AI in Medication Management Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Artificial intelligence (AI) in Medication Management is used to analyze complex medical data by approximating human cognition with the help of algorithms and software. The development of novel pharmaceuticals and biologicals through clinical trials can take more than a decade and cost billions of dollars during that tenure period.

AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketAsia Pacific
UnitValue (USD Million)
Key Companies ProfiledIntel (United States), NVIDIA (United States), Siemens Healthineers (Germany), Medtronic (Ireland), Micron Technology (United States), IBM (United States), Microsoft (United States), Google Inc (United States), Amazon Web Services (United States) and General Electric (United States)


This growth is primarily driven by Increasingly Large and Complex Data Set, Growing Demand to Reduce Healthcare Costs and Improving Computing Power and Declining Hardware Cost.

Globally, a noticeable market trend is evident Growing Number of Cross-Industry Partnerships and Collaborations The Health Care Technology sector in the North America region has been increasing at a sustainable rate, and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Intel (United States), NVIDIA (United States), Siemens Healthineers (Germany), Medtronic (Ireland), Micron Technology (United States), IBM (United States), Microsoft (United States), Google Inc (United States), Amazon Web Services (United States) and General Electric (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years. The artificial intelligence in the Medication Management market is highly competitive owing to the presence of a large number of players in the market operating in domestic as well as in the international market.

Key Developments in the Market:
September 2019 - Atomwise and Jiangsu Hansoh Pharmaceutical Group have launched an up-to USD 1.5 billion collaboration to design and discover potential drug candidates for up to 11 undisclosed target proteins in cancer and multiple other therapeutic areas.
March 2019 - IBM developed a virtual assistant "Andělín" to help patients of the Czech Neurorehabilitation Center ERGO Aktiv after a stroke to their return to an active life and work. The virtual assistant help reduce confusion and misinterpretation of information by answering questions and providing general information related to the post-stroke rehabilitation shared widely on the Internet.

Influencing Trend:
Growing Number of Cross-Industry Partnerships and Collaborations and Rising Need for Improvised Healthcare Services Due to Imbalance Between Health Workforce and Patients

Market Growth Drivers:
Increasingly Large and Complex Data Set, Growing Demand to Reduce Healthcare Costs and Improving Computing Power and Declining Hardware Cost

Challenges:
Lack of Curated Healthcare Data and Concerns Regarding Data Privacy

Restraints:
Reluctance Among Medical Practitioners to Adopt AI-Based Technologies and Lack of Skilled AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

Opportunities:
Growing Potential of AI-Based Tools for Elderly Care and Increasing Focus on Developing Human-Aware AI Systems

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints in AI in Medication Management Market
- Analysis about New Entrants in AI in Medication Management Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
- An Unbiased Perspective towards Market Performance & Indicators

Against this Challenging Backdrop, AI in Medication Management Study Sheds Light on
— The AI in Medication Management Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the AI in Medication Management industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where AI in Medication Management industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Hardware
  • Software
  • Services
By Application
  • Patient data and Risk analysis
  • Inpatient care & Hospital Management
  • Medical Imaging and Diagnostics
  • Lifestyle Management and Monitoring
  • Virtual Assistant
  • Drug Discovery
  • Research
  • Healthcare Assistance Robots
  • Precision Medicine
  • Emergency Room & Robot Assisted Surgery
  • Wearables
  • Mental Health
  • Fraud Detection
  • Cybersecurity
  • Clinical Trial Participant Identifier
  • Others
By Technology
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Querying Method

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasingly Large and Complex Data Set
      • 3.2.2. Growing Demand to Reduce Healthcare Costs
      • 3.2.3. Improving Computing Power and Declining Hardware Cost
    • 3.3. Market Challenges
      • 3.3.1. Lack of Curated Healthcare Data
      • 3.3.2. Concerns Regarding Data Privacy
    • 3.4. Market Trends
      • 3.4.1. Growing Number of Cross-Industry Partnerships and Collaborations
      • 3.4.2. Rising Need for Improvised Healthcare Services Due to Imbalance Between Health Workforce and Patients
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Medication Management, by Type, Application, Technology and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI in Medication Management (Value)
      • 5.2.1. Global AI in Medication Management by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
        • 5.2.1.3. Services
      • 5.2.2. Global AI in Medication Management by: Application (Value)
        • 5.2.2.1. Patient data and Risk analysis
        • 5.2.2.2. Inpatient care & Hospital Management
        • 5.2.2.3. Medical Imaging and Diagnostics
        • 5.2.2.4. Lifestyle Management and Monitoring
        • 5.2.2.5. Virtual Assistant
        • 5.2.2.6. Drug Discovery
        • 5.2.2.7. Research
        • 5.2.2.8. Healthcare Assistance Robots
        • 5.2.2.9. Precision Medicine
        • 5.2.2.10. Emergency Room & Robot Assisted Surgery
        • 5.2.2.11. Wearables
        • 5.2.2.12. Mental Health
        • 5.2.2.13. Fraud Detection
        • 5.2.2.14. Cybersecurity
        • 5.2.2.15. Clinical Trial Participant Identifier
        • 5.2.2.16. Others
      • 5.2.3. Global AI in Medication Management by: Technology (Value)
        • 5.2.3.1. Machine Learning
        • 5.2.3.2. Natural Language Processing
        • 5.2.3.3. Context-Aware Computing
        • 5.2.3.4. Computer Vision
        • 5.2.3.5. Querying Method
      • 5.2.4. Global AI in Medication Management Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global AI in Medication Management (Price)
      • 5.3.1. Global AI in Medication Management by: Type (Price)
  • 6. AI in Medication Management: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Intel (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. NVIDIA (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Siemens Healthineers (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Medtronic (Ireland)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Micron Technology (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. IBM (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Microsoft (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Google Inc (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Amazon Web Services (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. General Electric (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global AI in Medication Management Sale, by Type, Application, Technology and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI in Medication Management (Value)
      • 7.2.1. Global AI in Medication Management by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
        • 7.2.1.3. Services
      • 7.2.2. Global AI in Medication Management by: Application (Value)
        • 7.2.2.1. Patient data and Risk analysis
        • 7.2.2.2. Inpatient care & Hospital Management
        • 7.2.2.3. Medical Imaging and Diagnostics
        • 7.2.2.4. Lifestyle Management and Monitoring
        • 7.2.2.5. Virtual Assistant
        • 7.2.2.6. Drug Discovery
        • 7.2.2.7. Research
        • 7.2.2.8. Healthcare Assistance Robots
        • 7.2.2.9. Precision Medicine
        • 7.2.2.10. Emergency Room & Robot Assisted Surgery
        • 7.2.2.11. Wearables
        • 7.2.2.12. Mental Health
        • 7.2.2.13. Fraud Detection
        • 7.2.2.14. Cybersecurity
        • 7.2.2.15. Clinical Trial Participant Identifier
        • 7.2.2.16. Others
      • 7.2.3. Global AI in Medication Management by: Technology (Value)
        • 7.2.3.1. Machine Learning
        • 7.2.3.2. Natural Language Processing
        • 7.2.3.3. Context-Aware Computing
        • 7.2.3.4. Computer Vision
        • 7.2.3.5. Querying Method
      • 7.2.4. Global AI in Medication Management Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global AI in Medication Management (Price)
      • 7.3.1. Global AI in Medication Management by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Medication Management: by Type(USD Million)
  • Table 2. AI in Medication Management Hardware , by Region USD Million (2017-2022)
  • Table 3. AI in Medication Management Software , by Region USD Million (2017-2022)
  • Table 4. AI in Medication Management Services , by Region USD Million (2017-2022)
  • Table 5. AI in Medication Management: by Application(USD Million)
  • Table 6. AI in Medication Management Patient data and Risk analysis , by Region USD Million (2017-2022)
  • Table 7. AI in Medication Management Inpatient care & Hospital Management , by Region USD Million (2017-2022)
  • Table 8. AI in Medication Management Medical Imaging and Diagnostics , by Region USD Million (2017-2022)
  • Table 9. AI in Medication Management Lifestyle Management and Monitoring , by Region USD Million (2017-2022)
  • Table 10. AI in Medication Management Virtual Assistant , by Region USD Million (2017-2022)
  • Table 11. AI in Medication Management Drug Discovery , by Region USD Million (2017-2022)
  • Table 12. AI in Medication Management Research , by Region USD Million (2017-2022)
  • Table 13. AI in Medication Management Healthcare Assistance Robots , by Region USD Million (2017-2022)
  • Table 14. AI in Medication Management Precision Medicine , by Region USD Million (2017-2022)
  • Table 15. AI in Medication Management Emergency Room & Robot Assisted Surgery , by Region USD Million (2017-2022)
  • Table 16. AI in Medication Management Wearables , by Region USD Million (2017-2022)
  • Table 17. AI in Medication Management Mental Health , by Region USD Million (2017-2022)
  • Table 18. AI in Medication Management Fraud Detection , by Region USD Million (2017-2022)
  • Table 19. AI in Medication Management Cybersecurity , by Region USD Million (2017-2022)
  • Table 20. AI in Medication Management Clinical Trial Participant Identifier , by Region USD Million (2017-2022)
  • Table 21. AI in Medication Management Others , by Region USD Million (2017-2022)
  • Table 22. AI in Medication Management: by Technology(USD Million)
  • Table 23. AI in Medication Management Machine Learning , by Region USD Million (2017-2022)
  • Table 24. AI in Medication Management Natural Language Processing , by Region USD Million (2017-2022)
  • Table 25. AI in Medication Management Context-Aware Computing , by Region USD Million (2017-2022)
  • Table 26. AI in Medication Management Computer Vision , by Region USD Million (2017-2022)
  • Table 27. AI in Medication Management Querying Method , by Region USD Million (2017-2022)
  • Table 28. South America AI in Medication Management, by Country USD Million (2017-2022)
  • Table 29. South America AI in Medication Management, by Type USD Million (2017-2022)
  • Table 30. South America AI in Medication Management, by Application USD Million (2017-2022)
  • Table 31. South America AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 32. Brazil AI in Medication Management, by Type USD Million (2017-2022)
  • Table 33. Brazil AI in Medication Management, by Application USD Million (2017-2022)
  • Table 34. Brazil AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 35. Argentina AI in Medication Management, by Type USD Million (2017-2022)
  • Table 36. Argentina AI in Medication Management, by Application USD Million (2017-2022)
  • Table 37. Argentina AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 38. Rest of South America AI in Medication Management, by Type USD Million (2017-2022)
  • Table 39. Rest of South America AI in Medication Management, by Application USD Million (2017-2022)
  • Table 40. Rest of South America AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 41. Asia Pacific AI in Medication Management, by Country USD Million (2017-2022)
  • Table 42. Asia Pacific AI in Medication Management, by Type USD Million (2017-2022)
  • Table 43. Asia Pacific AI in Medication Management, by Application USD Million (2017-2022)
  • Table 44. Asia Pacific AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 45. China AI in Medication Management, by Type USD Million (2017-2022)
  • Table 46. China AI in Medication Management, by Application USD Million (2017-2022)
  • Table 47. China AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 48. Japan AI in Medication Management, by Type USD Million (2017-2022)
  • Table 49. Japan AI in Medication Management, by Application USD Million (2017-2022)
  • Table 50. Japan AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 51. India AI in Medication Management, by Type USD Million (2017-2022)
  • Table 52. India AI in Medication Management, by Application USD Million (2017-2022)
  • Table 53. India AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 54. South Korea AI in Medication Management, by Type USD Million (2017-2022)
  • Table 55. South Korea AI in Medication Management, by Application USD Million (2017-2022)
  • Table 56. South Korea AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 57. Taiwan AI in Medication Management, by Type USD Million (2017-2022)
  • Table 58. Taiwan AI in Medication Management, by Application USD Million (2017-2022)
  • Table 59. Taiwan AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 60. Australia AI in Medication Management, by Type USD Million (2017-2022)
  • Table 61. Australia AI in Medication Management, by Application USD Million (2017-2022)
  • Table 62. Australia AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 63. Rest of Asia-Pacific AI in Medication Management, by Type USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific AI in Medication Management, by Application USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 66. Europe AI in Medication Management, by Country USD Million (2017-2022)
  • Table 67. Europe AI in Medication Management, by Type USD Million (2017-2022)
  • Table 68. Europe AI in Medication Management, by Application USD Million (2017-2022)
  • Table 69. Europe AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 70. Germany AI in Medication Management, by Type USD Million (2017-2022)
  • Table 71. Germany AI in Medication Management, by Application USD Million (2017-2022)
  • Table 72. Germany AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 73. France AI in Medication Management, by Type USD Million (2017-2022)
  • Table 74. France AI in Medication Management, by Application USD Million (2017-2022)
  • Table 75. France AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 76. Italy AI in Medication Management, by Type USD Million (2017-2022)
  • Table 77. Italy AI in Medication Management, by Application USD Million (2017-2022)
  • Table 78. Italy AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 79. United Kingdom AI in Medication Management, by Type USD Million (2017-2022)
  • Table 80. United Kingdom AI in Medication Management, by Application USD Million (2017-2022)
  • Table 81. United Kingdom AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 82. Netherlands AI in Medication Management, by Type USD Million (2017-2022)
  • Table 83. Netherlands AI in Medication Management, by Application USD Million (2017-2022)
  • Table 84. Netherlands AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 85. Rest of Europe AI in Medication Management, by Type USD Million (2017-2022)
  • Table 86. Rest of Europe AI in Medication Management, by Application USD Million (2017-2022)
  • Table 87. Rest of Europe AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 88. MEA AI in Medication Management, by Country USD Million (2017-2022)
  • Table 89. MEA AI in Medication Management, by Type USD Million (2017-2022)
  • Table 90. MEA AI in Medication Management, by Application USD Million (2017-2022)
  • Table 91. MEA AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 92. Middle East AI in Medication Management, by Type USD Million (2017-2022)
  • Table 93. Middle East AI in Medication Management, by Application USD Million (2017-2022)
  • Table 94. Middle East AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 95. Africa AI in Medication Management, by Type USD Million (2017-2022)
  • Table 96. Africa AI in Medication Management, by Application USD Million (2017-2022)
  • Table 97. Africa AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 98. North America AI in Medication Management, by Country USD Million (2017-2022)
  • Table 99. North America AI in Medication Management, by Type USD Million (2017-2022)
  • Table 100. North America AI in Medication Management, by Application USD Million (2017-2022)
  • Table 101. North America AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 102. United States AI in Medication Management, by Type USD Million (2017-2022)
  • Table 103. United States AI in Medication Management, by Application USD Million (2017-2022)
  • Table 104. United States AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 105. Canada AI in Medication Management, by Type USD Million (2017-2022)
  • Table 106. Canada AI in Medication Management, by Application USD Million (2017-2022)
  • Table 107. Canada AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 108. Mexico AI in Medication Management, by Type USD Million (2017-2022)
  • Table 109. Mexico AI in Medication Management, by Application USD Million (2017-2022)
  • Table 110. Mexico AI in Medication Management, by Technology USD Million (2017-2022)
  • Table 111. AI in Medication Management: by Type(USD/Units)
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Company Basic Information, Sales Area and Its Competitors
  • Table 117. Company Basic Information, Sales Area and Its Competitors
  • Table 118. Company Basic Information, Sales Area and Its Competitors
  • Table 119. Company Basic Information, Sales Area and Its Competitors
  • Table 120. Company Basic Information, Sales Area and Its Competitors
  • Table 121. Company Basic Information, Sales Area and Its Competitors
  • Table 122. AI in Medication Management: by Type(USD Million)
  • Table 123. AI in Medication Management Hardware , by Region USD Million (2023-2028)
  • Table 124. AI in Medication Management Software , by Region USD Million (2023-2028)
  • Table 125. AI in Medication Management Services , by Region USD Million (2023-2028)
  • Table 126. AI in Medication Management: by Application(USD Million)
  • Table 127. AI in Medication Management Patient data and Risk analysis , by Region USD Million (2023-2028)
  • Table 128. AI in Medication Management Inpatient care & Hospital Management , by Region USD Million (2023-2028)
  • Table 129. AI in Medication Management Medical Imaging and Diagnostics , by Region USD Million (2023-2028)
  • Table 130. AI in Medication Management Lifestyle Management and Monitoring , by Region USD Million (2023-2028)
  • Table 131. AI in Medication Management Virtual Assistant , by Region USD Million (2023-2028)
  • Table 132. AI in Medication Management Drug Discovery , by Region USD Million (2023-2028)
  • Table 133. AI in Medication Management Research , by Region USD Million (2023-2028)
  • Table 134. AI in Medication Management Healthcare Assistance Robots , by Region USD Million (2023-2028)
  • Table 135. AI in Medication Management Precision Medicine , by Region USD Million (2023-2028)
  • Table 136. AI in Medication Management Emergency Room & Robot Assisted Surgery , by Region USD Million (2023-2028)
  • Table 137. AI in Medication Management Wearables , by Region USD Million (2023-2028)
  • Table 138. AI in Medication Management Mental Health , by Region USD Million (2023-2028)
  • Table 139. AI in Medication Management Fraud Detection , by Region USD Million (2023-2028)
  • Table 140. AI in Medication Management Cybersecurity , by Region USD Million (2023-2028)
  • Table 141. AI in Medication Management Clinical Trial Participant Identifier , by Region USD Million (2023-2028)
  • Table 142. AI in Medication Management Others , by Region USD Million (2023-2028)
  • Table 143. AI in Medication Management: by Technology(USD Million)
  • Table 144. AI in Medication Management Machine Learning , by Region USD Million (2023-2028)
  • Table 145. AI in Medication Management Natural Language Processing , by Region USD Million (2023-2028)
  • Table 146. AI in Medication Management Context-Aware Computing , by Region USD Million (2023-2028)
  • Table 147. AI in Medication Management Computer Vision , by Region USD Million (2023-2028)
  • Table 148. AI in Medication Management Querying Method , by Region USD Million (2023-2028)
  • Table 149. South America AI in Medication Management, by Country USD Million (2023-2028)
  • Table 150. South America AI in Medication Management, by Type USD Million (2023-2028)
  • Table 151. South America AI in Medication Management, by Application USD Million (2023-2028)
  • Table 152. South America AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 153. Brazil AI in Medication Management, by Type USD Million (2023-2028)
  • Table 154. Brazil AI in Medication Management, by Application USD Million (2023-2028)
  • Table 155. Brazil AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 156. Argentina AI in Medication Management, by Type USD Million (2023-2028)
  • Table 157. Argentina AI in Medication Management, by Application USD Million (2023-2028)
  • Table 158. Argentina AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 159. Rest of South America AI in Medication Management, by Type USD Million (2023-2028)
  • Table 160. Rest of South America AI in Medication Management, by Application USD Million (2023-2028)
  • Table 161. Rest of South America AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 162. Asia Pacific AI in Medication Management, by Country USD Million (2023-2028)
  • Table 163. Asia Pacific AI in Medication Management, by Type USD Million (2023-2028)
  • Table 164. Asia Pacific AI in Medication Management, by Application USD Million (2023-2028)
  • Table 165. Asia Pacific AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 166. China AI in Medication Management, by Type USD Million (2023-2028)
  • Table 167. China AI in Medication Management, by Application USD Million (2023-2028)
  • Table 168. China AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 169. Japan AI in Medication Management, by Type USD Million (2023-2028)
  • Table 170. Japan AI in Medication Management, by Application USD Million (2023-2028)
  • Table 171. Japan AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 172. India AI in Medication Management, by Type USD Million (2023-2028)
  • Table 173. India AI in Medication Management, by Application USD Million (2023-2028)
  • Table 174. India AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 175. South Korea AI in Medication Management, by Type USD Million (2023-2028)
  • Table 176. South Korea AI in Medication Management, by Application USD Million (2023-2028)
  • Table 177. South Korea AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 178. Taiwan AI in Medication Management, by Type USD Million (2023-2028)
  • Table 179. Taiwan AI in Medication Management, by Application USD Million (2023-2028)
  • Table 180. Taiwan AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 181. Australia AI in Medication Management, by Type USD Million (2023-2028)
  • Table 182. Australia AI in Medication Management, by Application USD Million (2023-2028)
  • Table 183. Australia AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 184. Rest of Asia-Pacific AI in Medication Management, by Type USD Million (2023-2028)
  • Table 185. Rest of Asia-Pacific AI in Medication Management, by Application USD Million (2023-2028)
  • Table 186. Rest of Asia-Pacific AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 187. Europe AI in Medication Management, by Country USD Million (2023-2028)
  • Table 188. Europe AI in Medication Management, by Type USD Million (2023-2028)
  • Table 189. Europe AI in Medication Management, by Application USD Million (2023-2028)
  • Table 190. Europe AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 191. Germany AI in Medication Management, by Type USD Million (2023-2028)
  • Table 192. Germany AI in Medication Management, by Application USD Million (2023-2028)
  • Table 193. Germany AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 194. France AI in Medication Management, by Type USD Million (2023-2028)
  • Table 195. France AI in Medication Management, by Application USD Million (2023-2028)
  • Table 196. France AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 197. Italy AI in Medication Management, by Type USD Million (2023-2028)
  • Table 198. Italy AI in Medication Management, by Application USD Million (2023-2028)
  • Table 199. Italy AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 200. United Kingdom AI in Medication Management, by Type USD Million (2023-2028)
  • Table 201. United Kingdom AI in Medication Management, by Application USD Million (2023-2028)
  • Table 202. United Kingdom AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 203. Netherlands AI in Medication Management, by Type USD Million (2023-2028)
  • Table 204. Netherlands AI in Medication Management, by Application USD Million (2023-2028)
  • Table 205. Netherlands AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 206. Rest of Europe AI in Medication Management, by Type USD Million (2023-2028)
  • Table 207. Rest of Europe AI in Medication Management, by Application USD Million (2023-2028)
  • Table 208. Rest of Europe AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 209. MEA AI in Medication Management, by Country USD Million (2023-2028)
  • Table 210. MEA AI in Medication Management, by Type USD Million (2023-2028)
  • Table 211. MEA AI in Medication Management, by Application USD Million (2023-2028)
  • Table 212. MEA AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 213. Middle East AI in Medication Management, by Type USD Million (2023-2028)
  • Table 214. Middle East AI in Medication Management, by Application USD Million (2023-2028)
  • Table 215. Middle East AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 216. Africa AI in Medication Management, by Type USD Million (2023-2028)
  • Table 217. Africa AI in Medication Management, by Application USD Million (2023-2028)
  • Table 218. Africa AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 219. North America AI in Medication Management, by Country USD Million (2023-2028)
  • Table 220. North America AI in Medication Management, by Type USD Million (2023-2028)
  • Table 221. North America AI in Medication Management, by Application USD Million (2023-2028)
  • Table 222. North America AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 223. United States AI in Medication Management, by Type USD Million (2023-2028)
  • Table 224. United States AI in Medication Management, by Application USD Million (2023-2028)
  • Table 225. United States AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 226. Canada AI in Medication Management, by Type USD Million (2023-2028)
  • Table 227. Canada AI in Medication Management, by Application USD Million (2023-2028)
  • Table 228. Canada AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 229. Mexico AI in Medication Management, by Type USD Million (2023-2028)
  • Table 230. Mexico AI in Medication Management, by Application USD Million (2023-2028)
  • Table 231. Mexico AI in Medication Management, by Technology USD Million (2023-2028)
  • Table 232. AI in Medication Management: by Type(USD/Units)
  • Table 233. Research Programs/Design for This Report
  • Table 234. Key Data Information from Secondary Sources
  • Table 235. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Medication Management: by Type USD Million (2017-2022)
  • Figure 5. Global AI in Medication Management: by Application USD Million (2017-2022)
  • Figure 6. Global AI in Medication Management: by Technology USD Million (2017-2022)
  • Figure 7. South America AI in Medication Management Share (%), by Country
  • Figure 8. Asia Pacific AI in Medication Management Share (%), by Country
  • Figure 9. Europe AI in Medication Management Share (%), by Country
  • Figure 10. MEA AI in Medication Management Share (%), by Country
  • Figure 11. North America AI in Medication Management Share (%), by Country
  • Figure 12. Global AI in Medication Management: by Type USD/Units (2017-2022)
  • Figure 13. Global AI in Medication Management share by Players 2022 (%)
  • Figure 14. Global AI in Medication Management share by Players (Top 3) 2022(%)
  • Figure 15. Global AI in Medication Management share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 18. Intel (United States) Revenue: by Geography 2022
  • Figure 19. NVIDIA (United States) Revenue, Net Income and Gross profit
  • Figure 20. NVIDIA (United States) Revenue: by Geography 2022
  • Figure 21. Siemens Healthineers (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Siemens Healthineers (Germany) Revenue: by Geography 2022
  • Figure 23. Medtronic (Ireland) Revenue, Net Income and Gross profit
  • Figure 24. Medtronic (Ireland) Revenue: by Geography 2022
  • Figure 25. Micron Technology (United States) Revenue, Net Income and Gross profit
  • Figure 26. Micron Technology (United States) Revenue: by Geography 2022
  • Figure 27. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 28. IBM (United States) Revenue: by Geography 2022
  • Figure 29. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 30. Microsoft (United States) Revenue: by Geography 2022
  • Figure 31. Google Inc (United States) Revenue, Net Income and Gross profit
  • Figure 32. Google Inc (United States) Revenue: by Geography 2022
  • Figure 33. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 34. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 35. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 36. General Electric (United States) Revenue: by Geography 2022
  • Figure 37. Global AI in Medication Management: by Type USD Million (2023-2028)
  • Figure 38. Global AI in Medication Management: by Application USD Million (2023-2028)
  • Figure 39. Global AI in Medication Management: by Technology USD Million (2023-2028)
  • Figure 40. South America AI in Medication Management Share (%), by Country
  • Figure 41. Asia Pacific AI in Medication Management Share (%), by Country
  • Figure 42. Europe AI in Medication Management Share (%), by Country
  • Figure 43. MEA AI in Medication Management Share (%), by Country
  • Figure 44. North America AI in Medication Management Share (%), by Country
  • Figure 45. Global AI in Medication Management: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Intel (United States)
  • NVIDIA (United States)
  • Siemens Healthineers (Germany)
  • Medtronic (Ireland)
  • Micron Technology (United States)
  • IBM (United States)
  • Microsoft (United States)
  • Google Inc (United States)
  • Amazon Web Services (United States)
  • General Electric (United States)
Additional players considered in the study are as follows:
CloudMedx (United States)
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Key Highlights of Report


May 2023 247 Pages 73 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI in Medication Management Market Quantitative research analysis
Global AI in Medication Management Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global AI in Medication Management market are Intel (United States), NVIDIA (United States), Siemens Healthineers (Germany), Medtronic (Ireland), Micron Technology (United States), IBM (United States), Microsoft (United States), Google Inc (United States), Amazon Web Services (United States) and General Electric (United States), to name a few.
North America is dominating the AI in Medication Management Market.
"Lack of Curated Healthcare Data " is seen as one of the major challenges by many Industry Players of AI in Medication Management Market
The AI in Medication Management market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get complete companies available in our research coverage.
The AI in Medication Management market is expected to see a steady growth rate during projected year 2022 to 2028.

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