Deep Learning in Drug Discovery and Diagnostics Market - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2016-2024

Deep learning is machine learning that analyzes large volumes of labeled and unlabeled data along with multi-dimensional and complex data with non-trivial patterns. It is touted to be a replacement for manual feature engineering with unsupervised feature learning. Massive influx of multimodality data in recent times further necessitates use of artificial intelligence for data analytics in health information systems. This in turn has impelled rise in deployment of analytical data-driven models generation, which are based on machine learning in health informatics. This is expected to be one of the vital factors supporting growth of deep learning in drug discovery and diagnostics market in the near future. Deep learning in drug discovery and diagnostics market is an upcoming technique deeply rooted in artificial neural networks and is expected to gain traction in the near future. It is expected to evolve as an important tool deep learning about the healthcare information system and would be utilized to restructure the future of healthcare sector and artificial intelligence. Rapid developments in computer-based operations and efficient and quick data storage are also contributing to fast uptake of the technology. The technique automatically generates optimum high level features with semantic effective input data interpretation, which is expected to support growth of deep learning in drug discovery and diagnostics market over the forecast period (2016–2024).

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

The provision of reducing time interval in drug discovery is expected to underpin the growth of deep learning in drug discovery and diagnostics market:

Conventionally, drug discovery and drug development was considered to be a complex and time consuming process. Various analytical approaches are being used to further usher in developments. Latest methods such as data mining, homology modeling, conventional machine learning and its biologically inspired branch technique, deep learning are the sources for next-generation drug discovery methods. The abovementioned reason is projected to fuel growth rate of deep learning in drug discovery and diagnostics market. Furthermore, healthcare and life sciences organizations are leveraging artificial intelligence and deep learning approach to enhance their product portfolio.

Pharmaceutical companies and other drug manufacturers are focusing on integrating in deep learning in drug discovery and diagnostics to introduce novel treatments to effectively address the increasing burden of diseases. This would help ensure that prospective drugs would attack the source of any ailment along with satisfaction of restrictive metabolic and toxic constraints. As mentioned earlier, drug discovery involves significant investment of time and resources, and the outcome is rather uncertain. Deep learning in drug discovery and diagnostics plays a pivotal role in increasing the probability of getting a successful outcome. This is expected to be a crucial driver for the deep learning in drug discovery and diagnostics market over the forecast period.

Rise in number of application is projected to favor growth of the deep learning in drug discovery and diagnostics market:

The global deep learning in drug discovery and diagnostics market is consolidated, with major players holding up the maximum share due to their extensive expertise in the subject of artificial intelligence, attained through several score years of intensive studies. Players in the market are developing novel techniques to understand the nature of the diagnostic biomarkers and drug discovery through major spending on R&D. For instance, Google Inc. is making significant inroads in better understanding of daily health and wellbeing habits to reach out to the global healthcare concerns in the best possible way.

Key players operating in the deep learning in drug discovery and diagnostics market include 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.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


Smiley face

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.
Smiley face

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization:

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

Choose License Type

"How Can I Help You" ?

Key Benifits

  • Custom Research Solution

    Talk to our research consultant to design an exclusive report as per your research needs.

  • Customer Fulfilment

    We aim to fulfil client's research demands with tailored research solutions.

  • Quick Turnaround Time Reports

    We aim to provide research studies in quickest turnaround time and in a much cost effective manner.

  • 360-degree Approach

    We cover each industry from supply and demand side with an aim to provide a most holistic research study.

  • Assured Quality

    We strive to provide most accurate and reliable research findings in our research reports.