Global AI in Pharmaceutical Market

AI in Pharmaceutical Comprehensive Study by Application (Neurodegenerative Diseases, Immuno-Oncology, CVD), End Users (Pharmaceutical & Biotechnology, CRO), Technology (Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing), Offerings (Software, Service) Players and Region - Global Market Outlook to 2027

AI in Pharmaceutical Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global AI in Pharmaceutical Market Overview:
The pharmaceutical industry is considered in one of the major industries which are intended for the use of artificial intelligence, the major reason behind the adoption of AI in this industry is its wide range of applications. In this sector, machine learning helps in enhance marketing, manufacturing, and drug trials. And artificial intelligence operates as a machine learning system, continuously responding and analyzing data, that allows researchers to collect information effectively.

Growth Drivers
  • Increasing Number of Cross-Industry Partnerships and Partnerships
  • Rising Concern Regarding Control Drug Discovery & Development Costs and Reduce Time
  • Increasing Number of Patent Expiry


Opportunities
  • Development in Biotechnology Industry
  • High Growth in the Healthcare Industry

Challenges
  • Restricted Availability of Technology Approvals


Competitive Landscape:
The market is fragmented by the leading players across the globe, those are focusing on production technologies, and highly investing in research on development for the improvement of efficiency and service life. With the growing opportunities is captured by tracking the ongoing process improvement and financial flexibility to invest in market growth strategies.
Some of the key players profiled in the report are AbbVie (United States), Almirall (Spain), Amgen (United States), Astellas (Japan), AstraZeneca (United Kingdom), BASF (Germany), Bayer (Germany), Boehringer Ingelheim (Germany), Bristol-Myers Squibb (BMS) (United States), CJ Healthcare (South Korea) and Celgene (United States). Additionally, following companies can also be profiled that are part of our coverage like Daewoong Pharmaceutical (South Korea), Eisai (Japan) and Eli Lilly (United States). Analyst at AMA Research see United States Players to retain maximum share of Global AI in Pharmaceutical market by 2027. Considering Market by End Users, the sub-segment i.e. Pharmaceutical & Biotechnology will boost the AI in Pharmaceutical market. Considering Market by Technology, the sub-segment i.e. Deep Learning will boost the AI in Pharmaceutical market. Considering Market by Offerings, the sub-segment i.e. Software will boost the AI in Pharmaceutical market.

What Can be Explored with the AI in Pharmaceutical Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global AI in Pharmaceutical Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in AI in Pharmaceutical
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI in Pharmaceutical market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI in Pharmaceutical market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analyst and Strategic Business Planners, AI in Pharmaceutical Service Providers, Government Regulatory and Research Organizations and End-Use Industries.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Neurodegenerative Diseases
  • Immuno-Oncology
  • CVD
By End Users
  • Pharmaceutical & Biotechnology
  • CRO

By Technology
  • Deep Learning
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing

By Offerings
  • Software
  • Service

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 Number of Cross-Industry Partnerships and Partnerships
      • 3.2.2. Rising Concern Regarding Control Drug Discovery & Development Costs and Reduce Time
      • 3.2.3. Increasing Number of Patent Expiry
    • 3.3. Market Challenges
      • 3.3.1. Restricted Availability of Technology Approvals
    • 3.4. Market Trends
      • 3.4.1. Rapid Adoption of Machine Learning from the Research Centers & Pharmaceutical Companies
  • 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 Pharmaceutical, by Application, End Users, Technology, Offerings and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global AI in Pharmaceutical (Value)
      • 5.2.1. Global AI in Pharmaceutical by: Application (Value)
        • 5.2.1.1. Neurodegenerative Diseases
        • 5.2.1.2. Immuno-Oncology
        • 5.2.1.3. CVD
      • 5.2.2. Global AI in Pharmaceutical by: End Users (Value)
        • 5.2.2.1. Pharmaceutical & Biotechnology
        • 5.2.2.2. CRO
      • 5.2.3. Global AI in Pharmaceutical 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 AI in Pharmaceutical by: Offerings (Value)
        • 5.2.4.1. Software
        • 5.2.4.2. Service
      • 5.2.5. Global AI in Pharmaceutical Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global AI in Pharmaceutical (Price)
  • 6. AI in Pharmaceutical: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. AbbVie (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. Almirall (Spain)
        • 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. Amgen (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. Astellas (Japan)
        • 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. AstraZeneca (United Kingdom)
        • 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. BASF (Germany)
        • 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. Bayer (Germany)
        • 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. Boehringer Ingelheim (Germany)
        • 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. Bristol-Myers Squibb (BMS) (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. CJ Healthcare (South Korea)
        • 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. Celgene (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 AI in Pharmaceutical Sale, by Application, End Users, Technology, Offerings and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global AI in Pharmaceutical (Value)
      • 7.2.1. Global AI in Pharmaceutical by: Application (Value)
        • 7.2.1.1. Neurodegenerative Diseases
        • 7.2.1.2. Immuno-Oncology
        • 7.2.1.3. CVD
      • 7.2.2. Global AI in Pharmaceutical by: End Users (Value)
        • 7.2.2.1. Pharmaceutical & Biotechnology
        • 7.2.2.2. CRO
      • 7.2.3. Global AI in Pharmaceutical 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 AI in Pharmaceutical by: Offerings (Value)
        • 7.2.4.1. Software
        • 7.2.4.2. Service
      • 7.2.5. Global AI in Pharmaceutical Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global AI in Pharmaceutical (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 Pharmaceutical: by Application(USD Million)
  • Table 2. AI in Pharmaceutical Neurodegenerative Diseases , by Region USD Million (2016-2021)
  • Table 3. AI in Pharmaceutical Immuno-Oncology , by Region USD Million (2016-2021)
  • Table 4. AI in Pharmaceutical CVD , by Region USD Million (2016-2021)
  • Table 5. AI in Pharmaceutical: by End Users(USD Million)
  • Table 6. AI in Pharmaceutical Pharmaceutical & Biotechnology , by Region USD Million (2016-2021)
  • Table 7. AI in Pharmaceutical CRO , by Region USD Million (2016-2021)
  • Table 8. AI in Pharmaceutical: by Technology(USD Million)
  • Table 9. AI in Pharmaceutical Deep Learning , by Region USD Million (2016-2021)
  • Table 10. AI in Pharmaceutical Querying Method , by Region USD Million (2016-2021)
  • Table 11. AI in Pharmaceutical Natural Language Processing , by Region USD Million (2016-2021)
  • Table 12. AI in Pharmaceutical Context Aware Processing , by Region USD Million (2016-2021)
  • Table 13. AI in Pharmaceutical: by Offerings(USD Million)
  • Table 14. AI in Pharmaceutical Software , by Region USD Million (2016-2021)
  • Table 15. AI in Pharmaceutical Service , by Region USD Million (2016-2021)
  • Table 16. South America AI in Pharmaceutical, by Country USD Million (2016-2021)
  • Table 17. South America AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 18. South America AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 19. South America AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 20. South America AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 21. Brazil AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 22. Brazil AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 23. Brazil AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 24. Brazil AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 25. Argentina AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 26. Argentina AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 27. Argentina AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 28. Argentina AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 29. Rest of South America AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 30. Rest of South America AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 31. Rest of South America AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 32. Rest of South America AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 33. Asia Pacific AI in Pharmaceutical, by Country USD Million (2016-2021)
  • Table 34. Asia Pacific AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 35. Asia Pacific AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 36. Asia Pacific AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 37. Asia Pacific AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 38. China AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 39. China AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 40. China AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 41. China AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 42. Japan AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 43. Japan AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 44. Japan AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 45. Japan AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 46. India AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 47. India AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 48. India AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 49. India AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 50. South Korea AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 51. South Korea AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 52. South Korea AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 53. South Korea AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 54. Taiwan AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 55. Taiwan AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 56. Taiwan AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 57. Taiwan AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 58. Australia AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 59. Australia AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 60. Australia AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 61. Australia AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 64. Rest of Asia-Pacific AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 65. Rest of Asia-Pacific AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 66. Europe AI in Pharmaceutical, by Country USD Million (2016-2021)
  • Table 67. Europe AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 68. Europe AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 69. Europe AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 70. Europe AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 71. Germany AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 72. Germany AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 73. Germany AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 74. Germany AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 75. France AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 76. France AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 77. France AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 78. France AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 79. Italy AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 80. Italy AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 81. Italy AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 82. Italy AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 83. United Kingdom AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 84. United Kingdom AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 85. United Kingdom AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 86. United Kingdom AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 87. Netherlands AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 88. Netherlands AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 89. Netherlands AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 90. Netherlands AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 91. Rest of Europe AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 92. Rest of Europe AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 93. Rest of Europe AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 94. Rest of Europe AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 95. MEA AI in Pharmaceutical, by Country USD Million (2016-2021)
  • Table 96. MEA AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 97. MEA AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 98. MEA AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 99. MEA AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 100. Middle East AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 101. Middle East AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 102. Middle East AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 103. Middle East AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 104. Africa AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 105. Africa AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 106. Africa AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 107. Africa AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 108. North America AI in Pharmaceutical, by Country USD Million (2016-2021)
  • Table 109. North America AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 110. North America AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 111. North America AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 112. North America AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 113. United States AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 114. United States AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 115. United States AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 116. United States AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 117. Canada AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 118. Canada AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 119. Canada AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 120. Canada AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 121. Mexico AI in Pharmaceutical, by Application USD Million (2016-2021)
  • Table 122. Mexico AI in Pharmaceutical, by End Users USD Million (2016-2021)
  • Table 123. Mexico AI in Pharmaceutical, by Technology USD Million (2016-2021)
  • Table 124. Mexico AI in Pharmaceutical, by Offerings USD Million (2016-2021)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. AI in Pharmaceutical: by Application(USD Million)
  • Table 137. AI in Pharmaceutical Neurodegenerative Diseases , by Region USD Million (2022-2027)
  • Table 138. AI in Pharmaceutical Immuno-Oncology , by Region USD Million (2022-2027)
  • Table 139. AI in Pharmaceutical CVD , by Region USD Million (2022-2027)
  • Table 140. AI in Pharmaceutical: by End Users(USD Million)
  • Table 141. AI in Pharmaceutical Pharmaceutical & Biotechnology , by Region USD Million (2022-2027)
  • Table 142. AI in Pharmaceutical CRO , by Region USD Million (2022-2027)
  • Table 143. AI in Pharmaceutical: by Technology(USD Million)
  • Table 144. AI in Pharmaceutical Deep Learning , by Region USD Million (2022-2027)
  • Table 145. AI in Pharmaceutical Querying Method , by Region USD Million (2022-2027)
  • Table 146. AI in Pharmaceutical Natural Language Processing , by Region USD Million (2022-2027)
  • Table 147. AI in Pharmaceutical Context Aware Processing , by Region USD Million (2022-2027)
  • Table 148. AI in Pharmaceutical: by Offerings(USD Million)
  • Table 149. AI in Pharmaceutical Software , by Region USD Million (2022-2027)
  • Table 150. AI in Pharmaceutical Service , by Region USD Million (2022-2027)
  • Table 151. South America AI in Pharmaceutical, by Country USD Million (2022-2027)
  • Table 152. South America AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 153. South America AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 154. South America AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 155. South America AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 156. Brazil AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 157. Brazil AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 158. Brazil AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 159. Brazil AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 160. Argentina AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 161. Argentina AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 162. Argentina AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 163. Argentina AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 164. Rest of South America AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 165. Rest of South America AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 166. Rest of South America AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 167. Rest of South America AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 168. Asia Pacific AI in Pharmaceutical, by Country USD Million (2022-2027)
  • Table 169. Asia Pacific AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 170. Asia Pacific AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 171. Asia Pacific AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 172. Asia Pacific AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 173. China AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 174. China AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 175. China AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 176. China AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 177. Japan AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 178. Japan AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 179. Japan AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 180. Japan AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 181. India AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 182. India AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 183. India AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 184. India AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 185. South Korea AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 186. South Korea AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 187. South Korea AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 188. South Korea AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 189. Taiwan AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 190. Taiwan AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 191. Taiwan AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 192. Taiwan AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 193. Australia AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 194. Australia AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 195. Australia AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 196. Australia AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 197. Rest of Asia-Pacific AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 198. Rest of Asia-Pacific AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 199. Rest of Asia-Pacific AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 200. Rest of Asia-Pacific AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 201. Europe AI in Pharmaceutical, by Country USD Million (2022-2027)
  • Table 202. Europe AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 203. Europe AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 204. Europe AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 205. Europe AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 206. Germany AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 207. Germany AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 208. Germany AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 209. Germany AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 210. France AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 211. France AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 212. France AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 213. France AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 214. Italy AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 215. Italy AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 216. Italy AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 217. Italy AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 218. United Kingdom AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 219. United Kingdom AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 220. United Kingdom AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 221. United Kingdom AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 222. Netherlands AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 223. Netherlands AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 224. Netherlands AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 225. Netherlands AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 226. Rest of Europe AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 227. Rest of Europe AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 228. Rest of Europe AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 229. Rest of Europe AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 230. MEA AI in Pharmaceutical, by Country USD Million (2022-2027)
  • Table 231. MEA AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 232. MEA AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 233. MEA AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 234. MEA AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 235. Middle East AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 236. Middle East AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 237. Middle East AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 238. Middle East AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 239. Africa AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 240. Africa AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 241. Africa AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 242. Africa AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 243. North America AI in Pharmaceutical, by Country USD Million (2022-2027)
  • Table 244. North America AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 245. North America AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 246. North America AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 247. North America AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 248. United States AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 249. United States AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 250. United States AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 251. United States AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 252. Canada AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 253. Canada AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 254. Canada AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 255. Canada AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 256. Mexico AI in Pharmaceutical, by Application USD Million (2022-2027)
  • Table 257. Mexico AI in Pharmaceutical, by End Users USD Million (2022-2027)
  • Table 258. Mexico AI in Pharmaceutical, by Technology USD Million (2022-2027)
  • Table 259. Mexico AI in Pharmaceutical, by Offerings USD Million (2022-2027)
  • Table 260. Research Programs/Design for This Report
  • Table 261. Key Data Information from Secondary Sources
  • Table 262. 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 Pharmaceutical: by Application USD Million (2016-2021)
  • Figure 5. Global AI in Pharmaceutical: by End Users USD Million (2016-2021)
  • Figure 6. Global AI in Pharmaceutical: by Technology USD Million (2016-2021)
  • Figure 7. Global AI in Pharmaceutical: by Offerings USD Million (2016-2021)
  • Figure 8. South America AI in Pharmaceutical Share (%), by Country
  • Figure 9. Asia Pacific AI in Pharmaceutical Share (%), by Country
  • Figure 10. Europe AI in Pharmaceutical Share (%), by Country
  • Figure 11. MEA AI in Pharmaceutical Share (%), by Country
  • Figure 12. North America AI in Pharmaceutical Share (%), by Country
  • Figure 13. Global AI in Pharmaceutical share by Players 2021 (%)
  • Figure 14. Global AI in Pharmaceutical share by Players (Top 3) 2021(%)
  • Figure 15. Global AI in Pharmaceutical share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. AbbVie (United States) Revenue, Net Income and Gross profit
  • Figure 18. AbbVie (United States) Revenue: by Geography 2021
  • Figure 19. Almirall (Spain) Revenue, Net Income and Gross profit
  • Figure 20. Almirall (Spain) Revenue: by Geography 2021
  • Figure 21. Amgen (United States) Revenue, Net Income and Gross profit
  • Figure 22. Amgen (United States) Revenue: by Geography 2021
  • Figure 23. Astellas (Japan) Revenue, Net Income and Gross profit
  • Figure 24. Astellas (Japan) Revenue: by Geography 2021
  • Figure 25. AstraZeneca (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. AstraZeneca (United Kingdom) Revenue: by Geography 2021
  • Figure 27. BASF (Germany) Revenue, Net Income and Gross profit
  • Figure 28. BASF (Germany) Revenue: by Geography 2021
  • Figure 29. Bayer (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Bayer (Germany) Revenue: by Geography 2021
  • Figure 31. Boehringer Ingelheim (Germany) Revenue, Net Income and Gross profit
  • Figure 32. Boehringer Ingelheim (Germany) Revenue: by Geography 2021
  • Figure 33. Bristol-Myers Squibb (BMS) (United States) Revenue, Net Income and Gross profit
  • Figure 34. Bristol-Myers Squibb (BMS) (United States) Revenue: by Geography 2021
  • Figure 35. CJ Healthcare (South Korea) Revenue, Net Income and Gross profit
  • Figure 36. CJ Healthcare (South Korea) Revenue: by Geography 2021
  • Figure 37. Celgene (United States) Revenue, Net Income and Gross profit
  • Figure 38. Celgene (United States) Revenue: by Geography 2021
  • Figure 39. Global AI in Pharmaceutical: by Application USD Million (2022-2027)
  • Figure 40. Global AI in Pharmaceutical: by End Users USD Million (2022-2027)
  • Figure 41. Global AI in Pharmaceutical: by Technology USD Million (2022-2027)
  • Figure 42. Global AI in Pharmaceutical: by Offerings USD Million (2022-2027)
  • Figure 43. South America AI in Pharmaceutical Share (%), by Country
  • Figure 44. Asia Pacific AI in Pharmaceutical Share (%), by Country
  • Figure 45. Europe AI in Pharmaceutical Share (%), by Country
  • Figure 46. MEA AI in Pharmaceutical Share (%), by Country
  • Figure 47. North America AI in Pharmaceutical Share (%), by Country
List of companies from research coverage that are profiled in the study
  • AbbVie (United States)
  • Almirall (Spain)
  • Amgen (United States)
  • Astellas (Japan)
  • AstraZeneca (United Kingdom)
  • BASF (Germany)
  • Bayer (Germany)
  • Boehringer Ingelheim (Germany)
  • Bristol-Myers Squibb (BMS) (United States)
  • CJ Healthcare (South Korea)
  • Celgene (United States)
Additional players considered in the study are as follows:
Daewoong Pharmaceutical (South Korea) , Eisai (Japan) , Eli Lilly (United States) ,
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Key Highlights of Report


Feb 2022 236 Pages 87 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global AI in Pharmaceutical Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The AI in Pharmaceutical market is expected to see a CAGR of % during projected year 2021 to 2027.
Top performing companies in the Global AI in Pharmaceutical market are AbbVie (United States), Almirall (Spain), Amgen (United States), Astellas (Japan), AstraZeneca (United Kingdom), BASF (Germany), Bayer (Germany), Boehringer Ingelheim (Germany), Bristol-Myers Squibb (BMS) (United States), CJ Healthcare (South Korea) and Celgene (United States), to name a few.
"Rapid Adoption of Machine Learning from the Research Centers & Pharmaceutical Companies" is seen as one of major influencing trends for AI in Pharmaceutical Market during projected period 2021-2027.

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