The latest published report namely Global Artificial Intelligence (AI) in Drug Discovery Market Size, Share, Growth, Industry Trends and Forecast to 2028 added by Data Bridge Market Research contains point by point data which enlarge understanding, scope, and application of this market. The report basic offers a basic understanding of the global Artificial Intelligence (AI) in Drug Discovery industry competitors, the sales channel, growth potential, potentially disruptive trends, industry product innovations, and the value/volume of size, market segments, and market share of the best actors/products. Analysis of important industry trends, market size, market share estimates is mentioned in the report. The fundamental objective of this report is to help readers to get market definition, potential, dynamics, and segmentation assessment. The report covers market trends, and industry growth analysis.
Artificial Intelligence (Ai) In Drug Discovery Market is expected to gain market growth in the forecast period of 2021 to 2027. Data Bridge Market Research analyses the market to account to USD 3,932.87 million by 2027 growing at a CAGR of 40.5% in the above-mentioned forecast period. The growing awareness amongst the physicians and patients regarding the benefits of artificial intelligence has been directly impacting the growth of the market.
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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.
Artificial Intelligence (AI) in Drug Discovery Market Scenario
E-prescribing or electronic prescribing is a technique which is used by the healthcare providers in which the prescription is sent to the patients or pharmacy electronically. Integrated solutions and standalone solutions are two common types of the e- prescribing solutions.
Increasing focus to reduce the fraud & abuse of controlled substance is expected to drive the market growth. Some of the other factors such as growing need to curtail the healthcare costs, increasing government initiatives & incentive programs, increasing popularity of e- prescription system, and minimisation of the prescription error will further accelerate the e- prescribing solutions market growth in the forecast period of 2020 to 2027.
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 –
- NVIDIA Corporation
- IBM Corporation
- Atomwise, Inc
- DEEP GENOMICS
- Cloud Pharmaceuticals, Inc
- Insilico Medicine
- BenevolentAI Ltd
- Cyclica Inc
- NuMedii, Inc
- twoXAR, Incorporated
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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.
Scope of Report:
The report Primarily studies the size, recent trends, and development status of the Artificial Intelligence (AI) in Drug Discovery market, as well as investment opportunities, market dynamics (such as driving factors, restraining factors), and industry news (like mergers, acquisitions, and investments). Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. This study categorizes the global Artificial Intelligence (AI) in Drug Discovery breakdown data by manufacturers, region, type and application, also analyses the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter’s Five Forces Analysis.
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.
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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.
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.
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.
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 2010-2021
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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