Published by Coherent Market Insights
Posted on September 28, 2021
5 min readLast updated: February 1, 2026
The deep learning market in drug discovery and diagnostics is set to grow by 2028, driven by AI advancements and increased data analysis capabilities.
Deep Learning in Drug Discovery and Diagnostics Market (Forecast Period 2021-2028): The report provides a valuable source of insightful data for business strategists and competitive analysis of Deep Learning in Drug Discovery and Diagnostics Market. The study covers important knowledge that makes the analysis document a handy resource for managers, analysts, business consultants and different key individuals get ready-to-access and self-analyzed study in conjunction with graphs and tables to assist perceive market trends, drivers and market challenges.It also highlights the restraints and opportunities expected to influence the market’s growth during the said period. The study provides a holistic perspective on the market’s growth throughout the above mentioned forecast period in terms of revenue(in US$ Mn) and Volume (Thousand Units), across different geographies.
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Major Players In This Market 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.
Deep learning is branch of machine learning that investigates large volumes of organized and unorganized data. The approach also analyzes multi-dimensional and complex data with non-trivial patterns and can be an effective alternative to manual feature engineering. Increasing use of big data and internet has led to generation of huge amount of data in various forms. Such scenario has led to high adoption of Artificial Intelligence (AI) for data analysis in the healthcare sector and development of analytical data-driven models that rely on machine learning. These factors are expected to boost growth of the deep learning in drug discovery and diagnostics market over the forecast period.
The emerging field of deep learning in drug discovery and diagnostics is based on Artificial Neural Networks (ANNs). The approach can find wide number of applications in healthcare information system. Significant advancements in computer-based operations and data storage technologies is expected to increase adoption of deep learning in drug discovery and diagnostics. Moreover, the ability of deep learning to automatically generate ideal high level features with semantic effective input data interpretation is also expected to contribute to growth of the market over the forecast period.
Deep Learning in Drug Discovery and Diagnostics Market Taxonomy:
By Application
Drug Discovery
Diagnostics
Forensic Interventions
Others
By End-use Industry
Pharmaceutical Companies
Biotechnology Companies
Contract Research Organizations
Healthcare IT
Deep Learning in Drug Discovery and Diagnostics Market Drivers:
Conventional methods used in drug discovery and development are complex and time consuming. Adoption of analytical processes and emerging approaches such as data mining, homology modeling, conventional machine learning, and deep learning have led to decrease in time required for drug discovery. This in turn is expected to propel growth of the global deep learning in drug discovery and diagnostics market.
Key players in the healthcare, life sciences, and the pharmaceutical sectors are focused on adopting AI and deep learning in order to expand their product portfolio. Use of AI and Deep Learning can aid in development of target specific therapies with low side effects. Use of conventional drug discovery approaches involves high investment of time and resources with no assurance of desired outcome. However, deep learning can be used in drug discovery and diagnostics to enhance the probability of desired results. Such advantages of deep learning over conventional methods are expected to contribute to growth of the deep learning in drug discovery and diagnostics market.
Key Developments
Research and development activities related to deep learning in drug discovery and diagnostics is expected to boost the market growth. For instance, on September 2, 2019, Insilico Medicine Hong Kong Ltd. reported development of a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL was used to discover potent inhibitors of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, in 21 days.
Key players in the market are focused on adopting collaboration and partnership strategies to enter in the emerging market. For instance, in February 2019, Juvenescence AI, Ltd., a drug development company focused on combating ageing and age-related diseases, collaborated with NetraMark Corp., a company that uses machine learning algorithms to redesign failing drugs, to form a joint venture, NetraPharma.
Major market players are also focused on raising funding to support their product development. For instance, in August 2019, Verisim Life, Inc., a U.S.-based biotechnology startup that uses AI-powered biosimulations to replace animal drug testing, announced it has raised $5.2 million in a round of funding led by Serra Ventures and OCA Ventures.
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In this study, the years considered to estimate the market size of Deep Learning in Drug Discovery and Diagnostics are as follows:
History Year: 2017-2020
Base Year: 2020
Estimated Year: 2021
Forecast Year 2021 to 2028
The next part also sheds light on the gap between supply and consumption. Apart from the mentioned information, growth rate of Deep Learning in Drug Discovery and Diagnostics Market in 2028 is also explained. Additionally, type wise and application wise consumption tables and figures of Deep Learning in Drug Discovery and Diagnostics Market are also given.
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The post Deep Learning in Drug Discovery and Diagnostics Market:New Technology, Growth, Insights, Trend, Demand & Forecast 2028 appeared first on Gatorledger.
The article focuses on the growth of deep learning in drug discovery and diagnostics market, highlighting AI advancements.
Major players include Google Inc., IBM Corp., Microsoft Corporation, and NVIDIA Corporation.
Market growth is driven by the adoption of AI and big data technologies in healthcare sectors.
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