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Artificial Intelligence (AI) in Drug Discovery Market 2020 Opportunity Analysis, Economic Forecasting, Competitive Landscaping And Benchmarking, Leading Players are Microsoft, NVIDIA Corporation, IBM Corporation, Numerate
Artificial Intelligence (AI) in Drug Discovery Market
The credible Artificial Intelligence (AI) in Drug Discovery Market report brings into focus several aspects related to industry and market. Few of these can be given here as market definition, market segmentation, competitive analysis and research methodology. In addition, the uniqueness of respondents is kept secretive and no promotional approach is made to them while analysing the data. This market document displays better market insights with which driving the business into right direction becomes simple and easy. Businesses can surely look forward to the reduced risk of failure with this all inclusive market research report. This global Artificial Intelligence (AI) in Drug Discovery Market report evaluates chief factors of the market which provides precise data and information for the business growth.
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Market Analysis and Insights of Artificial Intelligence (AI) in Drug Discovery Market
Artificial intelligence (AI) in drug discovery market is expected to gain market growth in the forecast period of 2020 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.
The major players covered 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, among other domestic and global players. Market share data is available for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Increasing need to reduce cost and drug discovery along with reduce time, growth of pharmaceutical industries by collaborations with other industries, adoption of cloud based services and applications, delay in patent expiry are some of the factors that will enhance the growth of artificial intelligence (AI) in drug discovery market in the forecast period of 2020-2027. On the other hand, expansion of biotechnology industries will further create new and ample opportunities for the growth of artificial intelligence (AI) in drug discovery market in the above mentioned forecast period.
Unavailability of skilled labour and lack of data sets are acting as market challenges for the growth of artificial intelligence (AI) in drug discovery in the above mentioned forecast period.
This artificial intelligence (AI) in drug discovery market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on artificial intelligence (AI) in drug discovery market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
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.
Growth of Pharmaceutical Companies and Cloud Based Services :
Artificial intelligence (AI) in drug discovery market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment’s, installed base of different kind of products for artificial intelligence (AI) in drug discovery market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the artificial intelligence (AI) in drug discovery market. The data is available for historic period 2010 to 2018.
Artificial Intelligence (AI) in Drug Discovery Market Reports - Table of Contents
1. Preface
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global Artificial Intelligence (AI) in Drug Discovery Market
4. Market Overview
4.1. Introduction
4.2. Overview
4.3. Market Dynamics
4.4. Porter’s Five Force Analysis
5. Key Insights
5.1. Technological Advancements
5.2. Pricing Analysis
5.3. Recent Developments
6. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By Product
7. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By Detector
8. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By Technology
9. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By Application
10. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By End-user
11. Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, By Region
12. North America Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast
13. Europe Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast
14. Asia Pacific Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast
15. Latin America Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast
16. Middle East & Africa Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast
17. Competitive Landscape
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