Middle East and Africa Artificial Intelligence (AI) in Drug Discovery Market Size, Demand, and Future Outlook: Global Industry Trends and Forecast to 2029
Being a proficient and all-inclusive Middle East and Africa Artificial
Intelligence (AI) in Drug Discovery Market report
puts a light on primary and secondary drivers, market share, leading segments,
possible sales volume, and geographical analysis. This market research report
is a significant source of information about the industry, important facts and
figures, expert opinions, and the newest developments across the globe. This
report has reviews about key players in the market, major collaborations,
merger and acquisitions along with trending innovation and business policies.
Furthermore, the world Middle East and Africa Artificial
Intelligence (AI) in Drug Discovery Market report deeply analyses the potential
of the market with respect to current state of affairs and the future prospects
by considering all aspects of Proprietary HMI (Human Machine Interface)
Software Market industry. Not to mention, in this competitive market place,
market research report has a very central role to play by offering important
and consequential market insights for the business. The market drivers and
restraints have been explained using SWOT analysis. With an absolute devotion
and commitment, Europe Middle East and Africa Artificial Intelligence (AI) in
Drug Discovery market report has been provided with the best reasonable service
and recommendations which can be relied upon confidently.
Data Bridge Market Research
analyzes that the Middle East and Africa artificial intelligence (AI) in drug
discovery market is expected to reach the value of USD 548.76 million by 2029,
at a CAGR of 47.1% during the forecast period. Software accounts for the
largest technology segment in the market due to rapid developments in
technological advancements to commercialize the use of AI in drug discovery
market. This market report also covers pricing analysis, patent analysis, and
technological advancements in depth.
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Market Overview:
AI
has caught the attention and minds of medical technology practitioners in the
past few years, as several companies and major research laboratories have
worked to perfect these technologies for clinical use. The first commercialized
demonstrations of how AI (also known as Deep Learning (DL), Machine Learning
(ML), or Artificial Neural Networks (ANNs)) could assist clinicians are now
available. These systems could lead to a paradigm shift in clinician workflow,
and increase productivity while simultaneously enhancing treatment and patient
throughput. AI for drug discovery is a technology that uses machines to
simulate human intelligence to solve complicated challenges in the drug
development procedure. The adoption of AI solutions in the clinical trial
process eliminates possible obstacles, reduces clinical trial cycle time, and
increases the productivity and accuracy of the clinical trial process.
Therefore, the adoption of these advanced AI solutions in drug discovery
processes is gaining popularity amongst life science industry stakeholders. In
the pharmaceutical sector, it aids in the discovery of novel compounds,
therapeutic target identification, and the development of customized
medications. AI platforms used for drug discovery can prove to be a feasible
option for deriving insights into the discovery of drugs to treat and minimize
the severity of various chronic diseases.
Some
of the key players operating in the market are NVIDIA Corporation, IBM Corp.,
Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP
GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc.,
Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE
Inc. among others.
Middle East and
Africa Artificial Intelligence (AI) in Drug Discovery Market Dynamics
This section deals with understanding the market drivers,
advantages, opportunities, restraints, and challenges. All of this is discussed
in detail below:
Drivers
Rise in incidence of chronic diseases propels need for AI in
drug discovery
The incidence of chronic diseases is increasing at a rapid
pace across the globe. According to the Centers for Disease Control and
Prevention (CDC), six in 10 adults in the U.S. have a chronic disease.
Furthermore, the CDC also highlights that chronic diseases such as heart
disease and diabetes are the leading causes of death in the U.S. Such
statistics shed light on the growing prevalence of chronic diseases and the
need to bring down the fatality rate caused due to these diseases.
AI platforms used for drug discovery can prove to be a
feasible option for deriving insights into the discovery of drugs to treat and
minimize the severity of various chronic diseases. Thus, these factors are
expected to act as a driver for the market growth during the forecast period.
Strategic collaborations, partnerships, and products launch
AI has the potential to transform drug discovery by rapidly
accelerating the R&D timeline, making drug development cheaper and faster,
and improving the probability of approval. AI can also increase the
effectiveness of drug repurposing research.
An increase in cross-industry alliances and collaborations
drives the market. Rise in relevance of AI in drug discovery & development,
and a surge in funding for R&D activities, including AI technology in the
field of drug research, are projected to propel the global market growth.
Hence, increase in cross-industry collaborations and partnerships is driving
the market.
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TABLE OF CONTENTS
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Research Methodology
Part 04: Market Landscape
Part 05: Pipeline Analysis
Part 06: Market Sizing
Part 07: Five Forces Analysis
Part 08: Market Segmentation
Part 09: Customer Landscape
Part 10: Regional Landscape
Part 11: Decision Framework
Part 12: Drivers and Challenges
Part 13: Market Trends
Part 14: Vendor Landscape
Part 15: Vendor Analysis
Part 16: Appendix
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