Artificial Intelligence (AI) in Drug Discovery Market 2027 – Robust Growth Driven by Technologies, Industry Analysis and Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS Cloud Pharmaceuticals

A New Business Research Report released by DBMR with title Global Artificial Intelligence (AI) in Drug Discovery Market Study Forecast till 2028. This Report presents detailed competitive analysis including the market share, size, growth, trends, demand, revenue, cost structure, segment and future scope 2028. This study categorizes the global Health and Safety Products breakdown data by manufacturers, region, type and applications, also analyzes the market drivers, opportunities and challenges. This Global Artificial Intelligence (AI) in Drug Discovery market report brings data for the estimated year 2020 and forecasted till 2028 in terms of both, value (US$ MN) and volume (MT). The report also consists of forecast factors, macroeconomic factors, and a market outlook of the Artificial Intelligence (AI) in Drug Discovery market. The study is conducted by applying both top-down and bottom-up approaches and further iterative methods used to validate and size market estimation and trends of the Global Artificial Intelligence (AI) in Drug Discovery market. Artificial Intelligence (AI) in Drug Discovery Market Report will add the analysis of the impact of COVID-19 on this industry.

Artificial Intelligence (AI) in Drug Discovery Market is estimated to grow at a CAGR of 40.5% to an estimated value of USD 3,932.87 million by 2027 with factors such as lack of data sets and dearth of skilled labor will act as a restrain to the growth of the market in the forecast period of 2020 to 2027.

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Brief Overview on Artificial Intelligence (AI) in Drug Discovery:           

Post operative infection is the most common site complication of surgical procedures in gynaecology. The Centres for Disease Control and Prevention (CDC) defines a SSI as an infection occurring within 30 days of an operation which occurs in one of 3 locations: superficial at the incision site, deep at the incision site or in other organs or spaces opened or manipulated during an operation.

The increasing incidence of gynaecological diseases, increasing awareness of gynaecological infection and rising investment for providing advanced healthcare facilities are the factors which drives the Artificial Intelligence (AI) in Drug Discovery market growth. In addition to this, the increasing facilities of robotic surgeries may hamper the growth of the Artificial Intelligence (AI) in Drug Discovery market.

The patient who develop surgical site infection are most likely to die, spend more time in ICU units and are more prone to re-admitting in the hospitals and thus, restraints the Artificial Intelligence (AI) in Drug Discovery market. Gynecologic procedures pose a unique challenge for the potential pathogenic microorganisms from the skin or vagina and endocervix which may migrate to operative sites and can result in vaginal cuff cellulitis, pelvic cellulitis, and pelvic abscesses.

The Global Artificial Intelligence (AI) in Drug Discovery Market 2021 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Artificial Intelligence (AI) in Drug Discovery Market Share analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. 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, cost, price, revenue and gross margins. For each manufacturer covered, this report analyzes their Artificial Intelligence (AI) in Drug Discovery manufacturing sites, capacity, production, ex-factory price, revenue and market share in global market.

According to this report Global Artificial Intelligence (AI) in Drug Discovery Market will rise from Covid-19 crisis at moderate growth rate during 2020 to 2028. Artificial Intelligence (AI) in Drug Discovery Market includes comprehensive information derived from depth study on Artificial Intelligence (AI) in Drug Discovery Industry historical and forecast market data. Global Artificial Intelligence (AI) in Drug Discovery Market Size To Expand moderately as the new developments in Artificial Intelligence (AI) in Drug Discovery and Impact of COVID19 over the forecast period 2020 to 2028.

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Artificial Intelligence (AI) in Drug Discovery Market report provides depth analysis of the market impact and new opportunities created by the COVID19/CORONA Virus pandemic. Report covers Artificial Intelligence (AI) in Drug Discovery Market report is helpful for strategists, marketers and senior management, And Key Players in Artificial Intelligence (AI) in Drug Discovery Industry.

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 TOP KEY PLAYERS in 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

The report also focuses on global major leading industry players of Global Artificial Intelligence (AI) in Drug Discovery Market Share providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out. Competitive analysis performed in this report puts forth the moves of the key players in the Artificial Intelligence (AI) in Drug Discovery industry such as new product launches, expansions, agreements, joint ventures, partnerships, and recent acquisitions. All the data, statistics, and information gathered to generate this report has been studied and analyzed with the established tools and techniques such as SWOT analysis and Porter's Five Forces analysis.

Highlights of the Report:

Analysis of the impact of Covid-19 that the market would face in the near future.
In-depth analysis of the growth drivers and obstacles.
Profile of all the companies operating in the market.
Elaborate data about the dominating region.
Competitive landscape consisting of mergers & acquisitions, investments, partnerships, new product launches, opening of new facilities, and new contracts.
Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size

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.

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Data Sources & Methodology         

The primary sources involve the industry experts from the Global Artificial Intelligence (AI) in Drug Discovery Market including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.

In the extensive primary research process undertaken for this study, the primary sources - Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company's Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weightage.

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KEY QUESTIONS ANSWERED: Study Explore COVID 19 Outbreak Impact Analysis

What should be entry strategies, countermeasures to economic impact, and marketing channels?
What are market dynamics?
What are challenges and opportunities?
What is economic impact on market?
What is market chain analysis by upstream raw materials and downstream industry?
What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
What were capacity, production value, cost and profit?
Who are the global key players in this industry? What are their company profile, their product information, and contact information?
Which manufacturing technology is used, what are their company profile, their product information, and contact information?
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Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.

With tables and figures helping analyses worldwide Global Artificial Intelligence (AI) in Drug Discovery Market Forecast this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

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 Global Artificial Intelligence (AI) in Drug Discovery market

Chapter 2: Exclusive Summary - the basic information of the Global Artificial Intelligence (AI) in Drug Discovery Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Global Artificial Intelligence (AI) in Drug Discovery

Chapter 4: Presenting the Global 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 the by Type, End User and Region 2010-2020

Chapter 6: Evaluating the leading manufacturers of the Global 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 in these various regions.

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Global Artificial Intelligence (AI) in Drug Discovery Market is a valuable source of guidance for individuals and companies.

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