Global Pharma Intelligence Market
Global Pharma Intelligence Market

Pharma Intelligence Comprehensive Study by Type (Hardware, Software, Services), Application (Drug Discovery & Repurposing, Clinical Research Trial, Personalized Medicine, Others), Technology (Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing) Players and Region - Global Market Outlook to 2024

Pharma Intelligence Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Jan 2019 Edition 150 Pages 173 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Pharma Intelligence Market Overview:
Artificial intelligence (AI) in health represents a group of multiple technologies, allowing machines to sense, comprehend, act, and learn so they can perform administrative and clinical healthcare functions. The use of intelligence technology can save time and money while providing a better understanding of the relationships between different formulation and process parameters. The global pharma intelligence market is expected to witness a high growth owing to increasing processing power of AI systems leading to enhanced AI capabilities, growing importance of precision medicines and others Some of the key players profiled in the study are Welltok, Inc. (United States), Intel Corporation (United States), Nvidia Corporation (United States), Pharmaphorum (United Kingdom), Google Inc. (United States), IBM Corporation (United States), Benevolent AI (United Kingdom), Microsoft Corporation (United States), Enlitic, Inc. (United States), BioXcel Corporation (United States) and Berg Health (United States).

On the basis of geography, the market of Pharma Intelligence has been segmented into 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). North America region held largest market share in the year 2018. Asia Pacific on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Technology, the sub-segment i.e. Deep Learning will boost the Pharma Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing processing power of AI systems leading to enhanced AI capabilities
  • Lack of skilled healthcare professionals

Market Trend
  • Rising importance of precision medicine

Restraints
  • Limitations of AI decision-making

Opportunities
  • The untapped market in developing regions

Challenges
  • Limited acceptance from healthcare professionals


Major Market Developments:


The major players are exploring the market in new regions by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their key strategies. Key players are exploring new geographies through expansions and acquisitions worldwide.
In the U.S., for medical devices using AI, one of the key regulatory bodies is the Food and Drug Administration (FDA), especially its Center for Devices and Radiological Health (CDRH). CDRH has long followed a risk-based approach in its regulatory policies, and has officially recognized ISO Standard 14971 “Application of Risk Management to Medical Devices.”

Target Audience:
Artificial intelligence service providers, Artificial intelligence service suppliers, Technology industry, Pharma industry, Governmental bodies, Regulatory bodies and Research firms

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Pharma Intelligence market on the basis of product [Hardware, Software and Services] , application [Drug Discovery & Repurposing, Clinical Research Trial, Personalized Medicine and Others], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Pharma Intelligence market with respect to major geographies, namely, 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)
• To strategically profile the key players and analyzing their market shares and core competencies in the Pharma Intelligence industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are InSilico Medicine, Inc. (United States), Interprotein Corporation (Japan), Globavir Biosciences, Inc. (United States), GNS Healthcare (United States) and Atomwise (United States).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Pharma Intelligence market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Type
  • Hardware
  • Software
  • Services
By Application
  • Drug Discovery & Repurposing
  • Clinical Research Trial
  • Personalized Medicine
  • Others
By Technology
  • Deep Learning
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing

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. Increasing processing power of AI systems leading to enhanced AI capabilities
      • 3.2.2. Lack of skilled healthcare professionals
    • 3.3. Market Challenges
      • 3.3.1. Limited acceptance from healthcare professionals
    • 3.4. Market Trends
      • 3.4.1. Rising importance of precision medicine
  • 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 Pharma Intelligence, by Type, Application, Technology and Region (value and price ) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Pharma Intelligence (Value)
      • 5.2.1. Global Pharma Intelligence by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
        • 5.2.1.3. Services
      • 5.2.2. Global Pharma Intelligence by: Application (Value)
        • 5.2.2.1. Drug Discovery & Repurposing
        • 5.2.2.2. Clinical Research Trial
        • 5.2.2.3. Personalized Medicine
        • 5.2.2.4. Others
      • 5.2.3. Global Pharma Intelligence by: Technology (Value)
        • 5.2.3.1. Deep Learning
        • 5.2.3.2. Querying Method
        • 5.2.3.3. Natural Language Processing
        • 5.2.3.4. Context Aware Processing
      • 5.2.4. Global Pharma Intelligence 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 Pharma Intelligence (Price)
      • 5.3.1. Global Pharma Intelligence by: Type (Price)
  • 6. Pharma Intelligence: 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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Welltok, Inc. (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. Intel Corporation (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. Nvidia Corporation (United States)
        • 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. Pharmaphorum (United Kingdom)
        • 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. Google Inc. (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 Corporation (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. Benevolent AI (United Kingdom)
        • 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. Microsoft Corporation (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. Enlitic, Inc. (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. BioXcel Corporation (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
      • 6.4.11. Berg Health (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Pharma Intelligence Sale, by Type, Application, Technology and Region (value and price ) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Pharma Intelligence (Value)
      • 7.2.1. Global Pharma Intelligence by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
        • 7.2.1.3. Services
      • 7.2.2. Global Pharma Intelligence by: Application (Value)
        • 7.2.2.1. Drug Discovery & Repurposing
        • 7.2.2.2. Clinical Research Trial
        • 7.2.2.3. Personalized Medicine
        • 7.2.2.4. Others
      • 7.2.3. Global Pharma Intelligence by: Technology (Value)
        • 7.2.3.1. Deep Learning
        • 7.2.3.2. Querying Method
        • 7.2.3.3. Natural Language Processing
        • 7.2.3.4. Context Aware Processing
      • 7.2.4. Global Pharma Intelligence 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 Pharma Intelligence (Price)
      • 7.3.1. Global Pharma Intelligence 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. Pharma Intelligence: by Type(USD Million)
  • Table 2. Pharma Intelligence Hardware , by Region USD Million (2013-2018)
  • Table 3. Pharma Intelligence Software , by Region USD Million (2013-2018)
  • Table 4. Pharma Intelligence Services , by Region USD Million (2013-2018)
  • Table 5. Pharma Intelligence: by Application(USD Million)
  • Table 6. Pharma Intelligence Drug Discovery & Repurposing , by Region USD Million (2013-2018)
  • Table 7. Pharma Intelligence Clinical Research Trial , by Region USD Million (2013-2018)
  • Table 8. Pharma Intelligence Personalized Medicine , by Region USD Million (2013-2018)
  • Table 9. Pharma Intelligence Others , by Region USD Million (2013-2018)
  • Table 10. Pharma Intelligence: by Technology(USD Million)
  • Table 11. Pharma Intelligence Deep Learning , by Region USD Million (2013-2018)
  • Table 12. Pharma Intelligence Querying Method , by Region USD Million (2013-2018)
  • Table 13. Pharma Intelligence Natural Language Processing , by Region USD Million (2013-2018)
  • Table 14. Pharma Intelligence Context Aware Processing , by Region USD Million (2013-2018)
  • Table 15. South America Pharma Intelligence, by Country USD Million (2013-2018)
  • Table 16. South America Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 17. South America Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 18. South America Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 19. Brazil Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 20. Brazil Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 21. Brazil Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 22. Argentina Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 23. Argentina Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 24. Argentina Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 25. Rest of South America Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 26. Rest of South America Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 27. Rest of South America Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 28. Asia Pacific Pharma Intelligence, by Country USD Million (2013-2018)
  • Table 29. Asia Pacific Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 30. Asia Pacific Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 31. Asia Pacific Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 32. China Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 33. China Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 34. China Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 35. Japan Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 36. Japan Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 37. Japan Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 38. India Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 39. India Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 40. India Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 41. South Korea Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 42. South Korea Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 43. South Korea Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 44. Taiwan Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 45. Taiwan Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 46. Taiwan Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 47. Australia Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 48. Australia Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 49. Australia Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 50. Rest of Asia-Pacific Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 51. Rest of Asia-Pacific Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 52. Rest of Asia-Pacific Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 53. Europe Pharma Intelligence, by Country USD Million (2013-2018)
  • Table 54. Europe Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 55. Europe Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 56. Europe Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 57. Germany Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 58. Germany Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 59. Germany Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 60. France Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 61. France Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 62. France Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 63. Italy Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 64. Italy Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 65. Italy Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 66. United Kingdom Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 67. United Kingdom Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 68. United Kingdom Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 69. Netherlands Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 70. Netherlands Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 71. Netherlands Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 72. Rest of Europe Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 73. Rest of Europe Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 74. Rest of Europe Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 75. MEA Pharma Intelligence, by Country USD Million (2013-2018)
  • Table 76. MEA Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 77. MEA Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 78. MEA Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 79. Middle East Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 80. Middle East Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 81. Middle East Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 82. Africa Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 83. Africa Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 84. Africa Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 85. North America Pharma Intelligence, by Country USD Million (2013-2018)
  • Table 86. North America Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 87. North America Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 88. North America Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 89. United States Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 90. United States Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 91. United States Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 92. Canada Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 93. Canada Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 94. Canada Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 95. Mexico Pharma Intelligence, by Type USD Million (2013-2018)
  • Table 96. Mexico Pharma Intelligence, by Application USD Million (2013-2018)
  • Table 97. Mexico Pharma Intelligence, by Technology USD Million (2013-2018)
  • Table 98. Pharma Intelligence: by Type(USD/Units)
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Pharma Intelligence: by Type(USD Million)
  • Table 111. Pharma Intelligence Hardware , by Region USD Million (2019-2024)
  • Table 112. Pharma Intelligence Software , by Region USD Million (2019-2024)
  • Table 113. Pharma Intelligence Services , by Region USD Million (2019-2024)
  • Table 114. Pharma Intelligence: by Application(USD Million)
  • Table 115. Pharma Intelligence Drug Discovery & Repurposing , by Region USD Million (2019-2024)
  • Table 116. Pharma Intelligence Clinical Research Trial , by Region USD Million (2019-2024)
  • Table 117. Pharma Intelligence Personalized Medicine , by Region USD Million (2019-2024)
  • Table 118. Pharma Intelligence Others , by Region USD Million (2019-2024)
  • Table 119. Pharma Intelligence: by Technology(USD Million)
  • Table 120. Pharma Intelligence Deep Learning , by Region USD Million (2019-2024)
  • Table 121. Pharma Intelligence Querying Method , by Region USD Million (2019-2024)
  • Table 122. Pharma Intelligence Natural Language Processing , by Region USD Million (2019-2024)
  • Table 123. Pharma Intelligence Context Aware Processing , by Region USD Million (2019-2024)
  • Table 124. South America Pharma Intelligence, by Country USD Million (2019-2024)
  • Table 125. South America Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 126. South America Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 127. South America Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 128. Brazil Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 129. Brazil Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 130. Brazil Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 131. Argentina Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 132. Argentina Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 133. Argentina Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 134. Rest of South America Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 135. Rest of South America Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 136. Rest of South America Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 137. Asia Pacific Pharma Intelligence, by Country USD Million (2019-2024)
  • Table 138. Asia Pacific Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 139. Asia Pacific Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 140. Asia Pacific Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 141. China Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 142. China Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 143. China Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 144. Japan Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 145. Japan Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 146. Japan Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 147. India Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 148. India Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 149. India Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 150. South Korea Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 151. South Korea Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 152. South Korea Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 153. Taiwan Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 154. Taiwan Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 155. Taiwan Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 156. Australia Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 157. Australia Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 158. Australia Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 159. Rest of Asia-Pacific Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 160. Rest of Asia-Pacific Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 161. Rest of Asia-Pacific Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 162. Europe Pharma Intelligence, by Country USD Million (2019-2024)
  • Table 163. Europe Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 164. Europe Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 165. Europe Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 166. Germany Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 167. Germany Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 168. Germany Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 169. France Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 170. France Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 171. France Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 172. Italy Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 173. Italy Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 174. Italy Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 175. United Kingdom Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 176. United Kingdom Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 177. United Kingdom Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 178. Netherlands Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 179. Netherlands Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 180. Netherlands Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 181. Rest of Europe Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 182. Rest of Europe Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 183. Rest of Europe Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 184. MEA Pharma Intelligence, by Country USD Million (2019-2024)
  • Table 185. MEA Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 186. MEA Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 187. MEA Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 188. Middle East Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 189. Middle East Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 190. Middle East Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 191. Africa Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 192. Africa Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 193. Africa Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 194. North America Pharma Intelligence, by Country USD Million (2019-2024)
  • Table 195. North America Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 196. North America Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 197. North America Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 198. United States Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 199. United States Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 200. United States Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 201. Canada Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 202. Canada Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 203. Canada Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 204. Mexico Pharma Intelligence, by Type USD Million (2019-2024)
  • Table 205. Mexico Pharma Intelligence, by Application USD Million (2019-2024)
  • Table 206. Mexico Pharma Intelligence, by Technology USD Million (2019-2024)
  • Table 207. Pharma Intelligence: by Type(USD/Units)
  • Table 208. Research Programs/Design for This Report
  • Table 209. Key Data Information from Secondary Sources
  • Table 210. 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 Pharma Intelligence: by Type USD Million (2013-2018)
  • Figure 5. Global Pharma Intelligence: by Application USD Million (2013-2018)
  • Figure 6. Global Pharma Intelligence: by Technology USD Million (2013-2018)
  • Figure 7. South America Pharma Intelligence Share (%), by Country
  • Figure 8. Asia Pacific Pharma Intelligence Share (%), by Country
  • Figure 9. Europe Pharma Intelligence Share (%), by Country
  • Figure 10. MEA Pharma Intelligence Share (%), by Country
  • Figure 11. North America Pharma Intelligence Share (%), by Country
  • Figure 12. Global Pharma Intelligence: by Type USD/Units (2013-2018)
  • Figure 13. Global Pharma Intelligence share by Players 2018 (%)
  • Figure 14. Global Pharma Intelligence share by Players (Top 3) 2018(%)
  • Figure 15. Global Pharma Intelligence share by Players (Top 5) 2018(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Welltok, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Welltok, Inc. (United States) Revenue: by Geography 2018
  • Figure 19. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Intel Corporation (United States) Revenue: by Geography 2018
  • Figure 21. Nvidia Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Nvidia Corporation (United States) Revenue: by Geography 2018
  • Figure 23. Pharmaphorum (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 24. Pharmaphorum (United Kingdom) Revenue: by Geography 2018
  • Figure 25. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Google Inc. (United States) Revenue: by Geography 2018
  • Figure 27. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. IBM Corporation (United States) Revenue: by Geography 2018
  • Figure 29. Benevolent AI (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. Benevolent AI (United Kingdom) Revenue: by Geography 2018
  • Figure 31. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Microsoft Corporation (United States) Revenue: by Geography 2018
  • Figure 33. Enlitic, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Enlitic, Inc. (United States) Revenue: by Geography 2018
  • Figure 35. BioXcel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 36. BioXcel Corporation (United States) Revenue: by Geography 2018
  • Figure 37. Berg Health (United States) Revenue, Net Income and Gross profit
  • Figure 38. Berg Health (United States) Revenue: by Geography 2018
  • Figure 39. Global Pharma Intelligence: by Type USD Million (2013-2018)
  • Figure 40. Global Pharma Intelligence: by Application USD Million (2013-2018)
  • Figure 41. Global Pharma Intelligence: by Technology USD Million (2013-2018)
  • Figure 42. South America Pharma Intelligence Share (%), by Country
  • Figure 43. Asia Pacific Pharma Intelligence Share (%), by Country
  • Figure 44. Europe Pharma Intelligence Share (%), by Country
  • Figure 45. MEA Pharma Intelligence Share (%), by Country
  • Figure 46. North America Pharma Intelligence Share (%), by Country
  • Figure 47. Global Pharma Intelligence: by Type USD/Units (2013-2018)
Some of the key companies/manufacturers profiled in the report
  • Welltok, Inc. (United States)
  • Intel Corporation (United States)
  • Nvidia Corporation (United States)
  • Pharmaphorum (United Kingdom)
  • Google Inc. (United States)
  • IBM Corporation (United States)
  • Benevolent AI (United Kingdom)
  • Microsoft Corporation (United States)
  • Enlitic, Inc. (United States)
  • BioXcel Corporation (United States)
  • Berg Health (United States)
Additional players considered in the study are as follows:
InSilico Medicine, Inc. (United States) , Interprotein Corporation (Japan) , Globavir Biosciences, Inc. (United States) , GNS Healthcare (United States) , Atomwise (United States)
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