Artificial Intelligence (AI) in Drug Discovery Market to Raise at 40.5% CAGR till 2027|Industry Share, Growth and Latest Innovation by Top Leaders: Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, Insilico Medicine
The global Artificial Intelligence (AI) in Drug Discovery Market size is expected to hit USD 3,932.87 million by 2027 while exhibiting an impressive CAGR of 40.5% between 2020 and 2027. DBMR, publishes this information in its latest report, titled “Artificial Intelligence (AI) in Drug Discovery Market Size, Share & Covid-19 Impact Analysis, By Offering (Software, Services), Technology (Machine Learning, Other Technologies), Drug Type (Small Molecule, Large Molecules), Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications), End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes) and Regional Forecast, 2020-2027.”
Artificial Intelligence (AI) in Drug Discovery Market Research report is a professional and in-depth study on the market size, growth, share, trends, as well as industry analysis. It helps to analyze the global key players, SWOT analysis, value and global market share for top players. To prosper in this rapidly transforming marketplace, today’s businesses call for innovative and superlative solutions. By efficiently using technology, innovative applications and expertise, this Typhoid Vaccine market research report has been prepared which effectively manages large and complex market data tables. To achieve the desired success in business, this market report plays a significant role. Similarly, the trends in consumer and supply chain dynamics are also acknowledged and then accordingly strategies about marketing, promotion and sales are interpreted for an extreme success.
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Artificial Intelligence (AI) in Drug Discovery Market Scenario
According to Data Bridge Market Research the artificial intelligence (AI) in drug discovery market in developing regions is witnessing a growth in terms of its adoption rate, due to growth of pharmaceutical industries by collaborating with other industries and growing need to reduce drug discovery and cost along with lessen time. Postponement in patent expiry is also anticipated to enhance the growth of market. Furthermore, development of biotechnology industries will create new opportunities for the growth of the market.
Global Artificial Intelligence (AI) in Drug Discovery Market 2020 Report encompasses an infinite knowledge and information on what the market’s definition, classifications, applications, and engagements are and also explains the drivers and restraints of the market which is obtained from SWOT analysis. By applying market intelligence for this Artificial Intelligence (AI) in Drug Discovery Market report, industry expert measure strategic options, summarize successful action plans and support companies with critical bottom-line decisions. Additionally, the data, facts and figures collected to generate this market report are obtained forms the trustworthy sources such as websites, journals, mergers, newspapers and other authentic sources. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, price, cost, revenue and gross margins.
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The Segments and Sub-Section of Artificial Intelligence (AI) in Drug Discovery Market are shown below:
By Offering (Software, Services),
By Technology (Machine Learning, Other Technologies)
By Drug Type (Small Molecule, Large Molecules)
By Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications)
By End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes)
List of Companies Profiled in the Artificial Intelligence (AI) in Drug Discovery Market Report are:
- Microsoft
- NVIDIA Corporation
- IBM Corporation
- Atomwise, Inc
- DEEP GENOMICS
- Cloud Pharmaceuticals, Inc
- Insilico Medicine
- BenevolentAI Ltd
- Exscientia
- Cyclica Inc
- Numerate
- NuMedii, Inc
- Envisagenics
- twoXAR, Incorporated
- OWKIN, INC
- XtalPi Inc
- BERG LLC
- ……
Complete Report is Available (Including Full TOC, List of Tables & Figures, Graphs, and Chart) @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market
Artificial Intelligence (AI) in Drug Discovery Report displays data on key players, major collaborations, merger & acquisitions along with trending innovation and business policies. The report highlights current and future market trends and carries out analysis of the effect of buyers, substitutes, new entrants, competitors, and suppliers on the market. The key topics that have been explained in this Artificial Intelligence (AI) in Drug Discovery market report include market definition, market segmentation, key developments, competitive analysis and research methodology. To accomplish maximum return on investment (ROI), it’s very essential to be acquainted with market parameters such as brand awareness, market landscape, possible future issues, industry trends and customer behavior where this Artificial Intelligence (AI) in Drug Discovery report comes into play.
Market Size Segmentation by Region & Countries (Customizable):
- North America (Canada, United States & Mexico)
- Europe (Germany, the United Kingdom, Benelux, France, Russia & Italy)
- Asia-Pacific (Japan, South Korea, China, India & Southeast Asia)
- South America (Argentina, Brazil, Peru, Colombia, Etc.)
- Middle East & Africa (United Arab Emirates, Egypt, Saudi Arabia, Nigeria & South Africa)
North America dominates the artificial intelligence (AI) in drug discovery market due to the high prevalence of pharmaceutical companies, increasing research activities.
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Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size
Artificial intelligence (AI) in drug discovery market is segmented on the basis of offering, technology, drug type, application and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
Based on offering, artificial intelligence (AI) in drug discovery market is segmented into software and services.
On the basis of technology, artificial intelligence (AI) in drug discovery market is segmented into machine learning and other technologies. Machine learning has been further segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.
Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules.
On the basis of application, artificial intelligence (AI) in drug discovery market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases and other applications.
Artificial intelligence (AI) in drug discovery market has also been segmented based on the end user into pharmaceutical & biotechnology companies, contract research organizations, research centres and academic & government institutes.
Key questions answered
– What impact does COVID-19 have made on Global Artificial Intelligence (AI) in Drug Discovery Market Growth & Sizing?
– Who are the Leading key players and what are their Key Business plans in the Global Artificial Intelligence (AI) in Drug Discovery market?
– What are the key concerns of the five forces analysis of the Global Artificial Intelligence (AI) in Drug Discovery market?
– What are different prospects and threats faced by the dealers in the Global Artificial Intelligence (AI) in Drug Discovery market?
– What are the strengths and weaknesses of the key vendors?
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Strategic Points Covered in Table of Content of Global Artificial Intelligence (AI) in Drug Discovery Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence (AI) in Drug Discovery market
Chapter 2: Exclusive Summary – the basic information of the Artificial Intelligence (AI) in Drug Discovery Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence (AI) in Drug Discovery
Chapter 4: Presenting the Artificial Intelligence (AI) in Drug Discovery Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying market size by Type, End User and Region 2010-2019
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence (AI) in Drug Discovery market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries (2020-2027).
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Artificial Intelligence (AI) in Drug Discovery Market is a valuable source of guidance for individuals and companies in decision framework.
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