AI (Artificial Intelligence) in Drug Discovery Market Professional Survey: Impact of COVID-19 to Make Big Changes in Estimates| Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, BenevolentAI

What's more, the AI (Artificial Intelligence) in Drug Discovery Market 2020 research report also presents an in-depth explanation of the emerging trends in the global market and the unsettling technologies that could be key areas for investment. This report provides the market growth rate, size, future trends, revenue, demand, and forecasts at the global level in addition as for the geographic areas including Latin America, Europe, Asia Pacific, North America, and Middle East & Africa. This report deals with the new business challenges and investment research that includes market attributes, industry structure, and competitive scenario, the problems, desire concepts, together with business strategies and market effectiveness.

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 forecast period.

Get Sample Report: To Know the Impact of COVID-19 on this Industry@https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market

Relevant features of the study that is being offered with major highlights from report:

1) How Study Have Considered the Impact of COVID-19 / Economic Slowdown of 2020?

Analyst at Data Bridge Market Research have conducted special survey and have connected with opinion leaders and Industry experts from various region to minutely understand impact on growth as well as local reforms to fight the situation. A special chapter in the study presents Impact Analysis of COVID-19 on Global AI (Artificial Intelligence) in Drug Discovery Market along with tables and graphs related to various country and segments showcasing impact on growth trends.

2) Which companies are profiled in current version of the report? Can list of players be customize based on regional geographies we are targeting

Considering heat map analysis and based on market buzz or voice the profiled list of companies in the the report are " Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI? Ltd, Exscientia, Cyclica, Numerate, NuMedii, Envisagenics, twoXAR, Incorporated, OWKIN, XtalPi, BERG LLC.". Yes, further list of players can also be customized as per your requirement keeping in mind your areas of interest and adding local emerging players and leaders from targeted geography.

** List of companies covered may vary in the final report subject to Name Change / Merger & Acquisition Activity etc. based on the difficulty of survey since data availability needs to be confirmed by research team specially in case of privately held company. Up to 2 players can be added at no additional cost.

3) Can Market be broken down by different set of application and types?

Additional segmentation / Market breakdown is possible subject to data availability, feasibility and depending upon timeline and toughness of survey. However a detailed requirement needs to be prepared before making any final confirmation.

** An additional country of your interest can be included at no added cost feasibility test would be conducted by Analyst team of HTF based on the requirement shared and accordingly deliverable time will also be disclosed.

Complete Report Details with Full TOC, List of Tables & Figures, and Chart@https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market

2-Page company profiles for 10+ leading players are included with 5 years financial history to illustrate the recent performance of the market. Latest and updated discussion for 2020 major macro and micro elements influencing market and impacting the sector are also provided with thought-provoking qualitative remarks on future opportunities and likely threats. The study is a mix of both statistically relevant quantitative data from the industry, coupled with insightful qualitative comment and analysis from Industry experts and consultants.

Market Overview: - The growing awareness amongst the physicians and patients regarding the benefits of artificial intelligence has been directly impacting the growth of the market.

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.

The Global AI (ArtificialIntelligence) in Drug Discovery segments and Market Data Break Down are illuminated below:

Global AI (ArtificialIntelligence) in Drug Discovery by Technology (Machine Learning, Other Technologies)

Global AI (Artificial Intelligence) in Drug Discovery Major Applications(Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications)/End users: Architecture, Flood & Others

Global AI (Artificial Intelligence) in Drug Discovery Major Applications by End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes)

Regional Analysis for Global Artificial Intelligence (AI) in Drug Discovery Market:

North America (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.)

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

Competitive Landscape & Analysis:

Major players of AI (Artificial Intelligence) in Drug Discovery Market are focusing highly on innovation in new technologies to improve production efficiency and re-arrange product lifecycle. Long-term growth opportunities for this sector are captured by ensuring ongoing process improvements of related players following NAICS standard by understanding their financial flexibility to invest in the optimal strategies. Company profile section of players such as Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI? Ltd, Exscientia, Cyclica, Numerate, NuMedii, Envisagenics, twoXAR, Incorporated, OWKIN, XtalPi, BERG LLC, includes vital information like legal name, website, headquarter, its market position, distribution and marketing channels, historical background and top 4 closest competitors by Market capitalization / turnover along with sales contact information. Each company / manufacturers revenue figures, growth rate, net profit and gross profit margin is provided in easy to understand tabular format for past 3 years and a separate section on market entropy covering recent development activities like mergers &acquisition, new product/service launch, funding activity etc.

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In this study, the years considered to estimate the market size of Global AI (Artificial Intelligence) in Drug Discovery are as follows:

History Year: 2010-2020, Base Year: 2019, Forecast Year 2020 to 2027

Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size

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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 Stakeholders / Target Audience Covered:

In order to better analyze value chain/ supply chain of the Industry, a lot of attention given to backward & forward Integration

- AI (Artificial Intelligence) in Drug Discovery Manufacturers

- AI (Artificial Intelligence) in Drug Discovery Distributors/Traders/Wholesalers

- AI (Artificial Intelligence) in Drug Discovery Sub-component Manufacturers

- Industry Association

- Downstream Vendors

Actual Numbers & In-Depth Analysis of AI (Artificial Intelligence) in Drug Discovery Market Size Estimation, Business opportunities, Available in Full Report.

We can also customize this report and provide individual chapters or a region-wise breakdown report such as North America, Europe or Asia. Also, if you have any special requirements, (Corporatesales@databridgemarketresearch.com) please let us know and we will offer you the report as you want.

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