FROST RADAR™: Artificial Intelligence for Drug Discovery in the Pharmaceutical Industry, 2020
Benchmarking Future Growth Potential
05-May-2020
North America
Frost Radar
Pharmaceutical drug discovery and development suffers from declining success rates with new molecules and the rate of return shrinking from 16% in 2011 to almost 11% in 2018. Frost & Sullivan research indicates that traditional solutions that have focused primarily on data from limited sources and rule-based computational techniques to address the understanding around targets and leads are inefficient. The increasing volume and veracity of clinical and research data compels traditional providers to leverage converging technologies such as artificial intelligence (AI), machine learning, natural language processing, and advanced analytics to shift from static to dynamic and adaptive data management practices. The ecosystem for supporting this growth has matured: several technology start-ups and large commercial vendors have already started delivering the impact through their products and solutions catering to drug discovery. While the benefits over the next 2 to 3 years are expected to be achieved through improved drug pipelines and faster clinical approval of new molecules, beyond that companies that integrate AI solutions will see significant impact on efficiency, cost savings and commercial success depending on their business goals.
Frost & Sullivan analysis shows that the AI impact over the pharma value chain can more than double what is achievable using traditional analytics and capture between 2% and 3% of the industry revenue, amounting to more than $50 billion in potential annual impact. This Frost Radar™ recognizes the participants that are at the forefront of developing and employing the tools. This is an industry-first benchmarking study that provides an introduction to the ecosystem and recognizes the pioneering companies.
The Frost Radar reveals the market positioning of companies in an industry using their Growth and Innovation scores as highlighted in the Frost Radar methodology. The document presents competitive profiles on each of the companies in the Frost Radar based on their strengths, opportunities, and a small discussion on their positioning. Frost & Sullivan analyzes hundreds of companies in the industry and benchmarks them across 10 criteria on the Frost Radar, where the leading companies in the industry are then positioned. Industry leaders on both the Growth and Innovation indices are recognized as best practice recipients.
Author: Amol Dilip Jadhav
Strategic Imperative
Strategic Imperative (continued)
AI for Drug Discovery Market Segmentation
Growth Environment
Growth Environment (continued)
Frost Radar™
Frost Radar™
Frost Radar™
Frost Radar™
ACURASTEM, INC.
ACURASTEM, INC. (continued)
AI THERAPEUTICS
AI THERAPEUTICS (continued)
ATOMWISE
ATOMWISE (continued)
BenevolentAI
BenevolentAI (continued)
BERG
BERG (continued)
BIOVISTA INC.
BIOVISTA INC. (continued)
COTINGA PHARMACEUTICALS INC.
COTINGA PHARMACEUTICALS INC. (continued)
EVAXION BIOTECH
EVAXION BIOTECH (continued)
EXSCIENTIA LTD.
EXSCIENTIA LTD. (continued)
GRITSTONE ONCOLOGY, INC.
GRITSTONE ONCOLOGY, INC. (continued)
HEALX
HEALX (continued)
INSILICO MEDICINE
INSILICO MEDICINE (continued)
LANTERN PHARMA, INC.
LANTERN PHARMA, INC. (continued)
PHARNEXT
PHARNEXT (continued)
RECURSION PHARMACEUTICALS
RECURSION PHARMACEUTICALS (continued)
twoXAR
twoXAR (continued)
Strategic Insights
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FROST Radar™ EMPOWERS INVESTORS
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FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL
FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL
FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL
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Growth Dialog™
A tailored session with you where we identify the:- Strategic Imperatives
- Growth Opportunities
- Best Practices
- Companies to Action
Impacting your company's future growth potential.
Deliverable Type | Frost Radar |
---|---|
No Index | No |
Podcast | No |
Author | Amol Dilip Jadhav |
Industries | Healthcare |
WIP Number | K409-01-00-00-00 |
Is Prebook | No |
GPS Codes | 9564-B1,9575-B1,9600-B1,9612-B1,9562-B1,9571-B1,9573-B1,99BC-B1,99C1-B1,99C6-B1,9568-B1,9611-B1,9627-B1 |