Articles

The new ‘IT’ thing in drug discovery

Global pharma drug discovery IT solutions to reach $5.3B by 2020, says Frost & Sullivan
Written byLori Lesko
| 3 min read

SANTA CLARA, Calif.—With a growing interest in big data analytics and artificial intelligence (AI)-based solutions, coupled with short-term growth in information technology (IT) spending, global pharmaceutical companies are shifting toward big data and cloud-based solutions, according to Frost & Sullivan. The analytical firm issued a report recently which predicts the global pharmaceutical drug discovery IT solutions market will reach $5.3 billion by 2020 at a compound annual growth rate of 8.9 percent.

That report, entitled “Growth Insights—Global Pharmaceutical Drug Discovery IT Solutions Market, Forecast to 2020 Digitalization in Drug Discovery Presents Significant Growth Opportunities for Healthcare IT Companies,” provides an analysis of key market dynamics, forecast and trends, current adoption of IT solutions, market growth opportunities, segments to watch and competitive analysis, thus painting a picture of the growing reliance on technological advances amidst the explosion of social media through the 21st century.

To continue reading this article, subscribe for FREE toDrug Discovery News Logo

Subscribe today to keep up to date with the latest advancements and discoveries in drug development achieved by scientists in pharma, biotech, non-profit, academic, clinical, and government labs.

Add Drug Discovery News as a preferred source on Google

Add Drug Discovery News as a preferred Google source to see more of our trusted coverage.

About the Author

Here are some related topics that may interest you:

Subscribe to Newsletter

Subscribe to our eNewsletters

Stay connected with all of the latest from Drug Discovery News.

Subscribe

Sponsored

Researcher examining a multiwell plate alongside cell culture dishes in a laboratory.
Explore how direct cell lysis can reduce sample preparation steps and support efficient gene expression analysis by RT-qPCR.
Abstract rainbow-colored beams of light spreading across a dark background.
Compare fluorochromes based on resolution, spillover, antigen expression, and other factors that can affect panel performance.
Illustration of multiple glowing blue and purple spherical cells against a dark blue background.
As researchers embrace more complex cellular models, high-content analysis brings new opportunities and challenges to drug discovery.