Artificial Intelligence (AI) in Drug Discovery Market – Industry Trends and Forecast to 2029
Data Bridge Market Research
analyzes that the global Artificial Intelligence (AI) in drug discovery market
is expected to reach the value of USD 24,618.25 million by 2029, at a CAGR of
53.3% during the forecast period.
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INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET research report, a nice
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INTELLIGENCE (AI) IN DRUG DISCOVERY market report is the ideal solution. CAGR
values for the market for an estimated forecast period of 2021 to 2028 are
mentioned in the report which helps determine costing and investment values or
strategies.
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INTELLIGENCE (AI) IN DRUG DISCOVERY market survey report deals with ample of
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importers who are dominating the market.
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Artificial Intelligence (AI) in Drug
Discovery Market Analysis and Insights
Artificial Intelligence (AI)
is expected to be a lucrative technology in the healthcare industry. The
implementation of AI reduces R&D gap in the drug manufacturing process and
helps in targeted manufacturing of drug. Hence, biopharmaceutical companies are
turning to AI to enhance their market share. AI for drug discovery is a
technology that uses machines to simulate human intelligence to solve
complicated challenges in the drug development procedure.
Global Artificial Intelligence (AI)
In Drug Discovery Market Scope
Global
Artificial Intelligence (AI) in drug discovery market is segmented into
application, technology, drug type, offering, indication and end use. The
growth among segments helps you analyze niche pockets of growth and strategies
to approach the market and determine your core application areas and the
difference in your target markets.
APPLICATION
o Novel
Drug Candidates
o Drug
Optimization and Repurposing Preclinical Testing and Approval
o Drug
Monitoring
o Finding
New Diseases Associated Targets and Pathways
o Understanding
Disease Mechanisms
o Aggregating
and Synthesizing Information
o Formation
& Qualification of Hypotheses
o De
Novo Drug Design
o Finding
Drug Targets of an Old Drug
o Others
Based on
application, the market is segmented into novel drug candidates, drug
optimization and repurposing preclinical testing and approval, drug monitoring,
finding new diseases associated targets and pathways, understanding disease
mechanisms, aggregating and synthesizing information, formation &
qualification of hypotheses, de novo drug design, finding drug targets of an
old drug and others.
TECHNOLOGY
o Machine
Learning (ML)
o Deep
Learning (DL)
o Natural
Language Processing (NLP)
o Others
Based on
technology, the market is segmented into Machine Learning (ML), Deep Learning
(DL), Natural Language Processing (NLP) and others.
DRUG TYPE
o Small
Molecule
o Large
Molecule
Based on
drug type, the market is segmented into small molecule and large molecule.
OFFERING
o Software
o Services
Based on
offering, the market is segmented into software and services.
INDICATION
o Immuno-Oncology
o Neurodegenerative
Diseases
o Cardiovascular
Diseases
o Metabolic
Diseases
o Others
Based on
indication, the market is segmented into immuno-oncology, neurodegenerative
diseases, cardiovascular diseases, metabolic diseases and others.
END USE
o Pharmaceutical
& Biotechnology Companies
o Contract
Research Organizations (CROs)
o Research
Centres And Academic Institutes
o Others
Global Artificial Intelligence (AI)
in Drug Discovery Market Regional Analysis/Insights
The
countries covered in this market report are U.S., Canada, Mexico, Germany,
France, U.K., Italy, Spain, Russia, Turkey, Belgium, Netherlands, Switzerland,
rest of Europe, China, Japan, India, South Korea, Singapore, Thailand,
Malaysia, Australia & New Zealand, Philippines, Indonesia, rest of Asia-Pacific,
U.A.E, Israel, South Africa, Saudi Arabia, Egypt, rest of Middle East and
Africa, Brazil, Argentina and rest of South America.
Global Artificial Intelligence (AI)
in Drug Discovery Market Share Analysis
Global
Artificial Intelligence (AI) in drug discovery market competitive landscape
provides details by competitor. Details included are company overview, company
financials, revenue generated, market potential, investment in R&D, new
market initiatives, production sites and facilities, company strengths and
weaknesses, product launch, product trials pipelines, product approvals,
patents, product width and breath, application dominance, technology lifeline
curve. The above data points provided are only related to the company’s focus
on the global Artificial Intelligence (AI) in drug discovery market.
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