Deep Learning in Drug Discovery and Diagnostics Market Top-Vendor And Industry Analysis By End-User Segments Till 2028 | Google Inc., IBM Corp., Microsoft Corporation, Qualcomm Technologies, Inc., General Vision Inc., Insilico Medicine, Inc., NVIDIA Corpo

Overview:

Artificial intelligence and deep learning have recently contributed to numerous drug discovery applications. Deep learning has a wide range of benefits for drug discovery, including prediction of pharmacokinectic properties, virtual screening, and quantitative structure-activity relationships. Traditional approaches, however, have outperformed these newer approaches in some cases. Along with their speed and efficiency, deep learning is also able to handle large datasets with high levels of complexity, diversity, and dimensionality. Deep learning has made significant advances in image and natural language processing.

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Market Dynamics:

Increasing demand for development and discovery of new drug therapies and rise in production capacities of the life science industry is projected to augment growth of the deep learning in drug discovery and diagnostics market over the forecast period. For instance, in April 2022, a team of researchers at MIT developed a new artificial intelligence technique that proposes only candidate molecules that can actually be developed in a lab.

However, factors like low quality, inconsistent available data, high cost of technology and lack of skilled professionals is expected to hamper growth of the global deep learning in drug discovery and diagnostics market over the forecast period.

Major Keyplayers are: Google Inc., IBM Corp., Microsoft Corporation, Qualcomm Technologies, Inc., General Vision Inc., Insilico Medicine, Inc., NVIDIA Corporation, Zebra Medical Vision, Inc., Enlitic, Ginger.io, MedAware and Lumiata.

Impact of COVID-19:

The outbreak of COVID-19 affected more than 100 countries all over the world. The virus outbreak led to countries closing down borders and imposing stringent regulations to curb the virus spread. The COVID-19 cases increased rapidly across the globe. The global deep learning in drug discovery and diagnostics market witnessed positive impact of the pandemic as demand for deep learning increased during this period to find drug and diagnostics for COVID-19. It was proven to be useful to fine active chemicals to prevent the COVID-19 virus.

Key Takeaways:

The global deep learning in drug discovery and diagnostics market is expected to grow, over the forecast period due to increasing cross-industry partnerships and collaborations. For instance, in January 2022, AstraZeneca and BenevolentAI expanded their partnership of artificial intelligence (AI)-powered drug discovery to include disease areas, heart failure and systemic lupus erythematosus (SLE).

North America is anticipated to witness substantial growth in the global deep learning in drug discovery and diagnostics market over the forecast period. This is due to growing investment in research and development, strong presence of market players, adoption of deep learning technology in medicine discovery in the region.

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Some of the Major Highlights of TOC covers:

Regional Market Analysis -

Global Production by Regions
Global Revenue by Regions
Consumption by Regions

Segment Market Analysis (by Type) -

Global Production by Type
Global Revenue by Type
Price by Type

Segment Market Analysis (by Application) -

Global Consumption by Application
Global Consumption Market Share by Application

Major Manufacturers Analysis -

Production Sites and Area Served
Product Introduction, Application, and Specification
Production, Revenue, Ex-factory Price and Gross Margin
Main Business and Markets Served

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