Report on Artificial Intelligence (AI) in Drug Discovery Market Research 2028 - Value Market Research
COVID-19 Impact Analysis on Artificial Intelligence (AI) in Drug Discovery Market report published by Value Market Research provides a detailed market analysis comprising market size, share, value, growth and trends for the period 2022-2028. The report encompasses data regarding market share and recent developments by key players. Moreover, this market report also covers regional and country markets in detail.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence ( ai) in drug discovery market include Microsoft Corporation (US), Exscientia (UK), NVIDIA Corporation (US), Schrödinger (US), Atomwise, Inc. (US), BenevolentAI (UK), NuMedii (US), Google (US), Insilico Medicine (US), BERG LLC (US), Cloud Pharmaceuticals (US), Cyclica (Canada), Deep Genomics (Canada), IBM (US), BIOAGE (US), Valo Health (US), Envisagenics (US), twoXAR (US), XtalPi (US), Verge Genomics (US), Owkin, Inc. (US), Biovista (US), Evaxion Biotech (Denmark), Iktos (France), Standigm (South Korea), and BenchSci (Canada). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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Market
Dynamics
Some of the main drivers propelling the
growth of AI in the drug delivery market include the rising usage of cloud-based
applications and services and the impending patent expiration of blockbuster
pharmaceuticals. Additional factors boosting demand are the growing need to
control drug discovery costs and less time required for drug development.
Further, the technology demand is also rising due to the discovery and
development of novel pharmacological therapies and the expanding manufacturing
capabilities of the life science industry. However, several problems are
anticipated to impede the growth of this industry in the years to come,
including a lack of skilled AI workers, hazy regulatory requirements for
medical software, and a lack of data sets in this area. Nonetheless, the
growing frequency of cross-industry partnerships will be a major driver
influencing the market's development rate.
The report covers Porter’s Five Forces
Model, Market Attractiveness Analysis, and Value Chain analysis. These tools
help to get a clear picture of the industry’s structure and evaluate the
competition attractiveness at a global level. Additionally, these tools also
give an inclusive assessment of each segment in the global market of artificial
intelligence ( ai) in drug discovery. The growth and trends of Artificial
Intelligence ( AI) in Drug Discovery Industry provide a holistic approach to
this study.
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Global Artificial Intelligence (AI) in Drug Discovery Market Research Report
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Market
Segmentation
This section of the artificial intelligence
( ai) in drug discovery market report provides detailed data on the segments by
analyzing them at country and regional level, thereby assisting the strategist
in identifying the target demographics for the respective product or services
with the upcoming opportunities.
By
Offering
·
Software
·
Services
By
Technology
·
Machine Learning
·
Deep Learning
·
Supervised Learning
·
Reinforcement Learning
·
Unsupervised Learning
·
Other Machine Learning Technologies
·
Other Technologies
By
Application
·
Immuno-Oncology
·
Neurodegenerative Diseases
·
Cardiovascular Diseases
·
Metabolic Diseases
·
Other Applications
By
End User
·
Pharmaceutical & Biotechnology Companies
·
Contract Research Organizations
·
Research Centers And Academic & Government Institutes
Regional
Analysis
This section covers the regional outlook,
which accentuates current and future demand for the Artificial Intelligence (
AI) in Drug Discovery market across North America, Europe, Asia-Pacific, Latin
America, and Middle East & Africa. Further, the report focuses on demand,
estimation, and forecast for individual application segments across all the
prominent regions.
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