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Artificial Intelligence (AI) In Drug Discovery Market - Growth, Trends and Forecast (2022 - 2027) By Types, By Application, By Regions and By Key Players IBM, Microsoft, Google, NVIDIA Corporation, Atomwise

30 May, 2022 | 67 Pages
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Acknowledging the kind of traction gained by this market, recently published a study report asserts the global Artificial Intelligence (AI) In Drug Discovery Market size is projected to accrue voluminously by 2027 registering a phenomenal CAGR of around 29.4% during the review period (2022 to 2027).



Artificial Intelligence (AI) In Drug Discovery Market Overview



The growing demand for the discovery and development of novel drug therapies and increasing manufacturing capacities of the life science industry are driving the demand for artificial intelligence (AI) empowered solutions in the drug discovery processes. Manufacturers in the life science industry constantly focus on replenishing their product pipelines as the majority of the big sellers go off patent. Furthermore, a growing number of public-private partnerships boosting the adoption of AI-powered solutions in drug discovery and development processes is driving the market. Countries such as France, the U.S., Spain, and Japan dominate the clinical trial space, while the U.K. is focused on enhancing research & development activities.



Industry News:



Cleveland Clinic and IBM Unveil Landmark 10-Year Partnership to Accelerate Discovery in Healthcare and Life Sciences



ARMONK, N.Y. and CLEVELAND, March 30, 2021 /PRNewswire/ -- Cleveland Clinic and IBM (NYSE: IBM) have announced a planned 10-year partnership to establish the Discovery Accelerator, a joint Cleveland Clinic - IBM center with the mission of fundamentally advancing the pace of discovery in healthcare and life sciences through the use of high-performance computing on the hybrid cloud, artificial intelligence (AI) and quantum computing technologies.





What are the major Applications, Types and Regions for Artificial Intelligence (AI) In Drug Discovery Market?



By Type, it is segmented into




  • Software

  • Services

  • Others




  • By Applications

  • Pharmaceutical & Biotechnology Companies

  • Contract Research Organizations

  • Research Centers and Academic & Government Institutes             

  • Others



Artificial Intelligence (AI) In Drug Discovery Market Regional Analysis



North America held the largest revenue share of over 55.0% in 2021. Since the beginning of AI, the U.S. has been the forerunner in this technology. IBM used its supercomputer ‘Watson’ to win a trivia game called ‘Jeopardy’, which led to the company improving on the idea of AI since then AI has become a major part of the tech industries and is frequently being deployed on multiple fronts such as the pharmaceutical sector. Major tech giants in the U.S. have all collaborated with prestigious institutes to fast forward drug discovery, designing, and repurposing. They are also using AI to study diseases to come to meaningful conclusions, which will improve disease management.



All these factors greatly affect the Artificial Intelligence (AI) In Drug Discovery Market growth. It further aims at providing complete overview on detailed assessment of significant features of different industries including sales volume, market revenue, and demand size, sales growth, pricing analysis and changing market growth factors in regions such as Follows,




  • North America


    • US

    • Canada



  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Rest of Europe



  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Rest of Asia-Pacific



  • Rest of the World

    • Middle East & Africa

    • Latin America





The Artificial Intelligence (AI) In Drug Discovery Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type and segment. It focuses extensively on revealing a detailed regional analysis. The Global Artificial Intelligence (AI) In Drug Discovery Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.



What is our Artificial Intelligence (AI) In Drug Discovery Market report scope?



 



































































 



Report Attributes



 



 



 



Report Details



 



Forecast Period 2022 to 2028 CAGR



 



 




  • CAGR of 29.4 % during the review period (2022 to 2027).



 



By Type



 




  • Software

  • Services

  • Others



 



By Applications



 




  • Pharmaceutical & Biotechnology Companies

  • Contract Research Organizations

  • Research Centers and Academic & Government Institutes

  • Others



 



 



 



By Companies



 



 



IBM, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, BERG LLC



 



 



Regions Covered



 



 




  • North America

  • Europe

  • Asia-Pacific

  • Rest of the World



 



 



 



 



 



 



 



 



Countries Covered



 




  • US

  • Canada

  • Germany

  • France

  • UK

  • Italy

  • Spain

  • Rest of Europe

  • China

  • Japan

  • India

  • Australia

  • South Korea

  • Rest of Asia-Pacific

  • Middle East & Africa

  • Latin America



 



Base Year



 



 



 



2022



 



Historical Year



 



 



 



2017 to 2021



 



Forecast Year



 



 



 



2022 to 2027



Number of Pages



 



128



 Customization Available



 



 



 Yes, the report can be customized as per your needs




 



Key Takeaways from this Healthcare IT Report




  • Evaluate Artificial Intelligence (AI) In Drug Discovery Market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level - for product types, end use applications and by different industry verticals.

  • Understand the different dynamics influencing the market - growth driving factors, specific challenges and hidden opportunities.

  • Get in-depth insights on your competitor performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis and more.

  • Analyze the sales and distribution channels across geographies to enhance top-line revenues.

  • Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.

  • Get a quick outlook on the Artificial Intelligence (AI) In Drug Discovery Market entropy - M&A's, deals, partnerships, product launches of all key players for the past 4 years.

  • Evaluate the import-export statistics, supply-demand and competitive landscape for more than top 20 countries globally for the market.



All our reports are custom made to your company needs to a certain extent, we do provide 5 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report as your needs.



Frequently Asked Questions



What is the study period of this market?



The Artificial Intelligence (AI) In Drug Discovery Market is studied from 2017 - 2027.



What is the growth rate of Artificial Intelligence (AI) In Drug Discovery Market?



The Artificial Intelligence (AI) In Drug Discovery Market is growing at a CAGR of 29.4% over the next 5 years.



Who are the key players in Artificial Intelligence (AI) In Drug Discovery Market?



IBM, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, BERG LLC



What region does this Artificial Intelligence (AI) In Drug Discovery Market report covers?



North America (the United States, Canada, and Mexico)



Europe (Germany, France, UK, Russia, and Italy)



Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)



South America (Brazil, Argentina, Colombia, etc.)



The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)



What are the significant types of Artificial Intelligence (AI) In Drug Discovery Market?



Software, Services,Others



What are the major Applications of Artificial Intelligence (AI) In Drug Discovery Market?



Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes, Others


  1. INTRODUCTION

    1. MARKET DEFINATION

    2. MARKET DYNAMICS

    3. MARKET SEGMENTATION

    4. REPORT TIMLINES

    5. KEY STAKEHOLDERS



  2. RESEARCH METHODOLOGY

    1. DATA MINING

      1. SECONDARY RESEARCH

      2. PRIMARY RESEARCH

      3. SUBJECT MATTER EXPERT ADVICE



    2. QUALITY CHECK

    3. FINAL REVIEW

      1. DATA TRIANGULATION

      2. BOTTOM-UP APPROACH

      3. TOP-DOWN APPROACH



    4. RESEARCH FLOW



  3. EXECUTIVE SUMMARY

    1. INTRODUCTION

    2. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET BY APPLICATION

    3. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET BY TYPES



  4. MARKET DYNAMICS

    1. DRIVERS

      1. INCREASED DEMAND FROM APPLICATIONS

      2. INCREASING DEMAND FOR ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY



    2. RESTRAINTS

      1. STRINGENT ENVIRONMENTAL REGUALTIONS

      2. HIGH COST OF RAW MATERIAL



    3. OPPORTUNITIES

      1. ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY GROWTH

      2. APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY



    4. IMPACT OF COVID 19



  5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY TYPES

    1. INTRODUCTION

    2. SOFTWARE

    3. SERVICES

    4. OTHERS



  6. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY APPLICATION

    1. INTRODUCTION

    2. PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES

    3. CONTRACT RESEARCH ORGANIZATIONS

    4. RESEARCH CENTERS AND ACADEMIC & GOVERNMENT INSTITUTES

    5. OTHER



  7. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET, BY REGION

    1. NORTH AMERICA

      1. US

      2. CANADA

      3. MEXICO



    2. EUROPE

      1. GERMANY

      2. FRANCE

      3. UK

      4. ITALY

      5. RUSSIA

      6. REST OF EUROPE



    3. APAC

      1. CHINA

      2. SOUTH KOREA

      3. JAPAN

      4. INDIA

      5. AUSTRALIA

      6. ASEAN

      7. REST OF APAC



    4. MIDDLE EAST & AFRICA

      1. SAUDI ARABIA

      2. UAE

      3. SOUTH AFRICA

      4. TURKEY

      5. REST OF MEA



    5. SOUTH AMERICA

      1. BRAZIL

      2. REST OF MEA

      3. ARGENTINA

      4. REST OF SOUTH AMERICA





  8. COMPETITIVE LANDSCAPE

    1. MERGERS, ACQUISITIONS, JOINT VENTURES, COLLABORATIONS,

    2. AND AGREEMENTS

      1. KEY DEVELOPMENT



    3. MARKET SHARE (%) **/RANKING ANALYSIS

    4. STRATEGIES ADOPTED BY LEADING PLAYERS



  9. COMPANY PROFILES

    1. BUSINESS OVERVIEW

    2. COMPANY SNAPSHOT

    3. PRODUCT BENCHMARKING

    4. STRATEGIC INITIATIVES

      1. IBM

      2. MICROSOFT

      3. GOOGLE

      4. NVIDIA CORPORATION

      5. ATOMWISE, INC.

      6. DEEP GENOMICS

      7. CLOUD PHARMACEUTICALS

      8. INSILICO MEDICINE

      9. BENEVOLENTAI

      10. EXSCIENTIA

      11. CYCLICA

      12. BIOAGE

      13. NUMERATE

      14. NUMEDII

      15. ENVISAGENICS

      16. TWOXAR

      17. OWKIN, INC.

      18. XTALPI

      19. VERGE GENOMICS

      20. BERG LLC

      21. OTHERS





SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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