Report Detail

Service & Software Global AI for Drug Discovery and Development Market Research Report 2022

  • RnM4439427
  • |
  • 12 May, 2022
  • |
  • Global
  • |
  • 96 Pages
  • |
  • QYResearch
  • |
  • Service & Software

Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Market Analysis by Type
      • 1.2.1 Global AI for Drug Discovery and Development Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
      • 1.2.2 Target Identification
      • 1.2.3 Molecule Screening
      • 1.2.4 De Novo Drug Design and Drug Optimization
      • 1.2.5 Preclinical and Clinical Testing
      • 1.2.6 Others
    • 1.3 Market by Application
      • 1.3.1 Global AI for Drug Discovery and Development Market Share by Application: 2017 VS 2021 VS 2028
      • 1.3.2 Oncology
      • 1.3.3 Infectious Disease
      • 1.3.4 Neurology
      • 1.3.5 Others
    • 1.4 Study Objectives
    • 1.5 Years Considered

    2 Global Growth Trends

    • 2.1 Global AI for Drug Discovery and Development Market Perspective (2017-2028)
    • 2.2 AI for Drug Discovery and Development Growth Trends by Region
      • 2.2.1 AI for Drug Discovery and Development Market Size by Region: 2017 VS 2021 VS 2028
      • 2.2.2 AI for Drug Discovery and Development Historic Market Size by Region (2017-2022)
      • 2.2.3 AI for Drug Discovery and Development Forecasted Market Size by Region (2023-2028)
    • 2.3 AI for Drug Discovery and Development Market Dynamics
      • 2.3.1 AI for Drug Discovery and Development Industry Trends
      • 2.3.2 AI for Drug Discovery and Development Market Drivers
      • 2.3.3 AI for Drug Discovery and Development Market Challenges
      • 2.3.4 AI for Drug Discovery and Development Market Restraints

    3 Competition Landscape by Key Players

    • 3.1 Global Top AI for Drug Discovery and Development Players by Revenue
      • 3.1.1 Global Top AI for Drug Discovery and Development Players by Revenue (2017-2022)
      • 3.1.2 Global AI for Drug Discovery and Development Revenue Market Share by Players (2017-2022)
    • 3.2 Global AI for Drug Discovery and Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
    • 3.3 Players Covered: Ranking by AI for Drug Discovery and Development Revenue
    • 3.4 Global AI for Drug Discovery and Development Market Concentration Ratio
      • 3.4.1 Global AI for Drug Discovery and Development Market Concentration Ratio (CR5 and HHI)
      • 3.4.2 Global Top 10 and Top 5 Companies by AI for Drug Discovery and Development Revenue in 2021
    • 3.5 AI for Drug Discovery and Development Key Players Head office and Area Served
    • 3.6 Key Players AI for Drug Discovery and Development Product Solution and Service
    • 3.7 Date of Enter into AI for Drug Discovery and Development Market
    • 3.8 Mergers & Acquisitions, Expansion Plans

    4 AI for Drug Discovery and Development Breakdown Data by Type

    • 4.1 Global AI for Drug Discovery and Development Historic Market Size by Type (2017-2022)
    • 4.2 Global AI for Drug Discovery and Development Forecasted Market Size by Type (2023-2028)

    5 AI for Drug Discovery and Development Breakdown Data by Application

    • 5.1 Global AI for Drug Discovery and Development Historic Market Size by Application (2017-2022)
    • 5.2 Global AI for Drug Discovery and Development Forecasted Market Size by Application (2023-2028)

    6 North America

    • 6.1 North America AI for Drug Discovery and Development Market Size (2017-2028)
    • 6.2 North America AI for Drug Discovery and Development Market Size by Country (2017-2022)
    • 6.3 North America AI for Drug Discovery and Development Market Size by Country (2023-2028)
    • 6.4 United States
    • 6.5 Canada

    7 Europe

    • 7.1 Europe AI for Drug Discovery and Development Market Size (2017-2028)
    • 7.2 Europe AI for Drug Discovery and Development Market Size by Country (2017-2022)
    • 7.3 Europe AI for Drug Discovery and Development Market Size by Country (2023-2028)
    • 7.4 Germany
    • 7.5 France
    • 7.6 U.K.
    • 7.7 Italy
    • 7.8 Russia
    • 7.9 Nordic Countries

    8 Asia-Pacific

    • 8.1 Asia-Pacific AI for Drug Discovery and Development Market Size (2017-2028)
    • 8.2 Asia-Pacific AI for Drug Discovery and Development Market Size by Country (2017-2022)
    • 8.3 Asia-Pacific AI for Drug Discovery and Development Market Size by Country (2023-2028)
    • 8.4 China
    • 8.5 Japan
    • 8.6 South Korea
    • 8.7 Southeast Asia
    • 8.8 India
    • 8.9 Australia

    9 Latin America

    • 9.1 Latin America AI for Drug Discovery and Development Market Size (2017-2028)
    • 9.2 Latin America AI for Drug Discovery and Development Market Size by Country (2017-2022)
    • 9.3 Latin America AI for Drug Discovery and Development Market Size by Country (2023-2028)
    • 9.4 Mexico
    • 9.5 Brazil

    10 Middle East & Africa

    • 10.1 Middle East & Africa AI for Drug Discovery and Development Market Size (2017-2028)
    • 10.2 Middle East & Africa AI for Drug Discovery and Development Market Size by Country (2017-2022)
    • 10.3 Middle East & Africa AI for Drug Discovery and Development Market Size by Country (2023-2028)
    • 10.4 Turkey
    • 10.5 Saudi Arabia
    • 10.6 UAE

    11 Key Players Profiles

    • 11.1 Alphabet
      • 11.1.1 Alphabet Company Detail
      • 11.1.2 Alphabet Business Overview
      • 11.1.3 Alphabet AI for Drug Discovery and Development Introduction
      • 11.1.4 Alphabet Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.1.5 Alphabet Recent Development
    • 11.2 Atomwise
      • 11.2.1 Atomwise Company Detail
      • 11.2.2 Atomwise Business Overview
      • 11.2.3 Atomwise AI for Drug Discovery and Development Introduction
      • 11.2.4 Atomwise Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.2.5 Atomwise Recent Development
    • 11.3 BenevolentAI
      • 11.3.1 BenevolentAI Company Detail
      • 11.3.2 BenevolentAI Business Overview
      • 11.3.3 BenevolentAI AI for Drug Discovery and Development Introduction
      • 11.3.4 BenevolentAI Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.3.5 BenevolentAI Recent Development
    • 11.4 Cloud Pharmaceutical
      • 11.4.1 Cloud Pharmaceutical Company Detail
      • 11.4.2 Cloud Pharmaceutical Business Overview
      • 11.4.3 Cloud Pharmaceutical AI for Drug Discovery and Development Introduction
      • 11.4.4 Cloud Pharmaceutical Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.4.5 Cloud Pharmaceutical Recent Development
    • 11.5 Deep Genomics
      • 11.5.1 Deep Genomics Company Detail
      • 11.5.2 Deep Genomics Business Overview
      • 11.5.3 Deep Genomics AI for Drug Discovery and Development Introduction
      • 11.5.4 Deep Genomics Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.5.5 Deep Genomics Recent Development
    • 11.6 Exscientia
      • 11.6.1 Exscientia Company Detail
      • 11.6.2 Exscientia Business Overview
      • 11.6.3 Exscientia AI for Drug Discovery and Development Introduction
      • 11.6.4 Exscientia Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.6.5 Exscientia Recent Development
    • 11.7 IBM
      • 11.7.1 IBM Company Detail
      • 11.7.2 IBM Business Overview
      • 11.7.3 IBM AI for Drug Discovery and Development Introduction
      • 11.7.4 IBM Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.7.5 IBM Recent Development
    • 11.8 Insilico Medicine
      • 11.8.1 Insilico Medicine Company Detail
      • 11.8.2 Insilico Medicine Business Overview
      • 11.8.3 Insilico Medicine AI for Drug Discovery and Development Introduction
      • 11.8.4 Insilico Medicine Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.8.5 Insilico Medicine Recent Development
    • 11.9 Microsoft Corporation
      • 11.9.1 Microsoft Corporation Company Detail
      • 11.9.2 Microsoft Corporation Business Overview
      • 11.9.3 Microsoft Corporation AI for Drug Discovery and Development Introduction
      • 11.9.4 Microsoft Corporation Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.9.5 Microsoft Corporation Recent Development
    • 11.10 Nvidia Corporation
      • 11.10.1 Nvidia Corporation Company Detail
      • 11.10.2 Nvidia Corporation Business Overview
      • 11.10.3 Nvidia Corporation AI for Drug Discovery and Development Introduction
      • 11.10.4 Nvidia Corporation Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.10.5 Nvidia Corporation Recent Development
    • 11.11 XtalPi
      • 11.11.1 XtalPi Company Detail
      • 11.11.2 XtalPi Business Overview
      • 11.11.3 XtalPi AI for Drug Discovery and Development Introduction
      • 11.11.4 XtalPi Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.11.5 XtalPi Recent Development
    • 11.12 DP Technology
      • 11.12.1 DP Technology Company Detail
      • 11.12.2 DP Technology Business Overview
      • 11.12.3 DP Technology AI for Drug Discovery and Development Introduction
      • 11.12.4 DP Technology Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.12.5 DP Technology Recent Development
    • 11.13 Tencent iDrug
      • 11.13.1 Tencent iDrug Company Detail
      • 11.13.2 Tencent iDrug Business Overview
      • 11.13.3 Tencent iDrug AI for Drug Discovery and Development Introduction
      • 11.13.4 Tencent iDrug Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.13.5 Tencent iDrug Recent Development
    • 11.14 PaddleHelix
      • 11.14.1 PaddleHelix Company Detail
      • 11.14.2 PaddleHelix Business Overview
      • 11.14.3 PaddleHelix AI for Drug Discovery and Development Introduction
      • 11.14.4 PaddleHelix Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.14.5 PaddleHelix Recent Development
    • 11.15 EIHealth
      • 11.15.1 EIHealth Company Detail
      • 11.15.2 EIHealth Business Overview
      • 11.15.3 EIHealth AI for Drug Discovery and Development Introduction
      • 11.15.4 EIHealth Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.15.5 EIHealth Recent Development
    • 11.16 Aliyun
      • 11.16.1 Aliyun Company Detail
      • 11.16.2 Aliyun Business Overview
      • 11.16.3 Aliyun AI for Drug Discovery and Development Introduction
      • 11.16.4 Aliyun Revenue in AI for Drug Discovery and Development Business (2017-2022)
      • 11.16.5 Aliyun Recent Development

    12 Analyst's Viewpoints/Conclusions

      13 Appendix

      • 13.1 Research Methodology
        • 13.1.1 Methodology/Research Approach
        • 13.1.2 Data Source
      • 13.2 Disclaimer

      Summary:

      Artificial intelligence has significant applications in the drug discovery field as it helps track diseases, create disease cures and predict which animal viruses appear to mutate. Artificial intelligence has been known to enhance R&D in drug discovery, which has helped researchers to discover chronic disease treatments. Drug discovery and development in the fields of medicine, pharmacology, and biotechnology are processes for the creation, design, and procurement of a drug through identifying a biological target, such as enzyme protein, gene, or receptor. Previously, the drugs were discovered by identifying the active ingredient conventional treatments. Thus, drug discovery is the first step in the process of identifying potential novel drugs and their medicinal purpose. New criteria for drugs are measured based on their bioavailability, efficacy, potency, and toxicity.
      Industry Insights
      The global AI for Drug Discovery and Development market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
      Fully considering the economic change by this health crisis, Target Identification accounting for % of the AI for Drug Discovery and Development global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Oncology segment is altered to an % CAGR throughout this forecast period.
      China AI for Drug Discovery and Development market size is valued at US$ million in 2021, while the North America and Europe AI for Drug Discovery and Development are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe AI for Drug Discovery and Development landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period 2022-2028.
      With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global AI for Drug Discovery and Development market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global AI for Drug Discovery and Development market in terms of revenue.
      Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global AI for Drug Discovery and Development market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global AI for Drug Discovery and Development market.
      Impact of Covid-19 Outbreak
      This section of the report has explored the overall status of the Covid scenario and has offered valuable insights into the changes in supply chain disruption, fluctuations in demand, etc. The analysts have also focused on the key measures that the companies are opting to withstand the harsh scenario.
      Segmental Analysis
      The report has been segmented into product and application segments. The researchers have documented all the products present today in the AI for Drug Discovery and Development market. They have also shed light on the new product innovations and launches by the key players. In the segmental analysis, the analysts have provided revenue forecast figures based on type and application for the period 2017-2028. They have also discussed about the growth rate and potential of each segment for the period 2017-2028.
      AI for Drug Discovery and Development Breakdown Data by Type
      Target Identification
      Molecule Screening
      De Novo Drug Design and Drug Optimization
      Preclinical and Clinical Testing
      Others
      AI for Drug Discovery and Development Breakdown Data by Application
      Oncology
      Infectious Disease
      Neurology
      Others
      Regional Analysis
      North America
      United States
      Canada
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Nordic Countries
      Rest of Europe
      Asia-Pacific
      China
      Japan
      South Korea
      Southeast Asia
      India
      Australia
      Rest of Asia
      Latin America
      Mexico
      Brazil
      Rest of Latin America
      Middle East & Africa
      Turkey
      Saudi Arabia
      UAE
      Rest of MEA
      Competitive Landscape
      This segment focuses on the key players operating in the industry. It underlines all the current and future activities by the prominent manufacturers. By understanding various initiatives being taken up by different players, readers will gain the ability to settle on correct business choices. The authors of the report have provided accurate revenue figures of the companies for the period 2017-2022. The clients are sure to gain the upper hand once they get hold of this report. Key players studied in the research report include:
      Alphabet
      Atomwise
      BenevolentAI
      Cloud Pharmaceutical
      Deep Genomics
      Exscientia
      IBM
      Insilico Medicine
      Microsoft Corporation
      Nvidia Corporation
      XtalPi
      DP Technology
      Tencent iDrug
      PaddleHelix
      EIHealth
      Aliyun
      Frequently Asked Questions
      What factors will challenge the AI for Drug Discovery and Development market growth?
      Which end-use segment will expand at the fastest CAGR in the AI for Drug Discovery and Development market?
      Which are the emerging players in the AI for Drug Discovery and Development market?
      How concentrated is the AI for Drug Discovery and Development market?
      Which factors are positively contributing to the AI for Drug Discovery and Development market growth?
      Which are the novel product innovations in the AI for Drug Discovery and Development market?
      Which product segment will emerge as the most lucrative in the AI for Drug Discovery and Development market?
      Which factors are increasing the competition in the AI for Drug Discovery and Development market?
      Which are the strategic measures taken by the AI for Drug Discovery and Development industry players?
      Which region will witness inactive growth during the forecast period?
      What key trends are likely to emerge in the AI for Drug Discovery and Development market in the coming years?


      Summary:
      Get latest Market Research Reports on AI for Drug Discovery and Development. Industry analysis & Market Report on AI for Drug Discovery and Development is a syndicated market report, published as Global AI for Drug Discovery and Development Market Research Report 2022. It is complete Research Study and Industry Analysis of AI for Drug Discovery and Development market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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