Global Artificial Intelligence (AI) in Drug Discovery Market Segmentation, Demand And Supply 2020-2021
Summary – A New Market Study, “Global
Artificial Intelligence (AI) in Drug Discovery Market 2020-2026 by Offering,
Technology, Drug Type, Therapeutic Area, Application, End User, and Region:
Trend Forecast and Growth Opportunity” Has Been Featured On Wiseguyreports.
Highlighted
with 86 tables and 86 figures, this 178-page report “Global Artificial
Intelligence (AI) in Drug Discovery Market 2020-2026 by Offering, Technology,
Drug Type, Therapeutic Area, Application, End User, and Region: Trend Forecast
and Growth Opportunity” is based on a comprehensive research of the entire
global AI in drug discovery market and all its sub-segments through extensively
detailed classifications. Profound analysis and assessment are generated from
premium primary and secondary information sources with inputs derived from
industry professionals across the value chain. The report provides historical
market data for 2015-2019, revenue estimates for 2020, and forecasts from 2021
till 2026. (Please note: The report will be updated before delivery so that the
latest historical year is the base year and the forecast covers at least 5
years over the base year.)
In-depth
qualitative analyses include identification and investigation of the following
aspects:
• Market
Structure
• Growth
Drivers
• Restraints
and Challenges
• Emerging
Product Trends & Market Opportunities
• Porter’s
Fiver Forces
The trend and
outlook of global market is forecast in optimistic, balanced, and conservative
view by taking into account of COVID-19. The balanced (most likely) projection
is used to quantify global AI in drug discovery market in every aspect of the
classification from perspectives of Offering, Technology, Drug Type,
Therapeutic Area, Application, End User, and Region.
Based on
offering, the global market is segmented into the following sub-markets with
annual revenue for 2015-2026 (historical and forecast) included in each
section.
• Software
• Service
Based on
technology, the global market is segmented into the following sub-markets with
annual revenue for 2015-2026 (historical and forecast) included in each
section.
• Deep
Learning
• Supervised
Learning
•
Reinforcement Learning
• Unsupervised
Learning
• Other
Technologies
Based on drug
type, the global market is segmented into the following sub-markets with annual
revenue for 2015-2026 (historical and forecast) included in each section.
•
Large-molecule Drugs
•
Small-molecular Drugs
Based on
therapeutic area, the global market is segmented into the following sub-markets
with annual revenue for 2015-2026 (historical and forecast) included in each
section.
• Oncology
•
Neurodegenerative Diseases
•
Cardiovascular Disease
• Metabolic
Diseases
• Other
Therapeutic Areas
Based on
application, the global market is segmented into the following sub-markets with
annual revenue for 2015-2026 (historical and forecast) included in each
section.
• Information
& Data Analysis
• Drug Design
• Drug
Evaluation
• Clinical
Trials
• Other
Applications
Based on end
user, the global market is segmented into the following sub-markets with annual
revenue for 2015-2026 (historical and forecast) included in each section.
•
Pharmaceutical & Biotechnology Companies
• Academic
& Research Institutes
• Contract
Research Organizations
Geographically,
the following regions together with the listed national/local markets are fully
investigated:
• APAC
(Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is
further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand,
Vietnam, and Sri Lanka)
• Europe
(Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is
further segmented into Belgium, Denmark, Austria, Norway, Sweden, The
Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North
America (U.S., Canada, and Mexico)
• South
America (Brazil, Chile, Argentina, Rest of South America)
• RoW (Saudi
Arabia, UAE, Egypt)
For each of
the aforementioned regions and countries, detailed analysis and data for annual
revenue are available for 2015-2026. The breakdown of all regional markets by
country and split of key national markets by Technology, Therapeutic Area, and
End User over the forecast years are also included.
The report
also covers current competitive scenario and the predicted trend; and profiles
key vendors including market leaders and important emerging players.
Specifically,
potential risks associated with investing in global AI in drug discovery market
are assayed quantitatively and qualitatively through GMD’s Risk Assessment
System. According to the risk analysis and evaluation, Critical Success Factors
(CSFs) are generated as a guidance to help investors & stockholders
identify emerging opportunities, manage and minimize the risks, develop
appropriate business models, and make wise strategies and decisions.
Key Players
(this may not be a complete list and extra companies can be added upon
request):
Atomwise,
Inc.
BenevolentAI
Berg LLC
Bioage
BIOAGE
Cloud
Pharmaceuticals, Inc.
Cyclica
Deep Genomics
Envisagenics
Exscientia
Google
IBM
Corporation
Insilico
Medicine
Microsoft
Corporation
Numedii, Inc.
Numerate
NVIDIA
Corporation
Owkin, Inc.
Twoxar,
Incorporated
Verge
Genomics
Xtalpi, Inc.
(Please note:
The report will be updated before delivery so that the latest historical year
is the base year and the forecast covers at least 5 years over the base year.)..
For More Details : https://www.wiseguyreports.com/reports/5397494-global-artificial-intelligence-ai-in-drug-discovery-market
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