AI, its end-to-end drug discovery platform using generative artificial intelligence to discover new targets, design new molecules, and predict the outcome of clinical trials.
Newest research report, the “AI-driven Drug Discovery Industry Forecast” looks at past sales and reviews total world AI-driven Drug Discovery sales in 2022, providing a comprehensive analysis by region and market sector of projected AI-driven Drug Discovery sales for 2023 through 2029. With AI-driven Drug Discovery sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-driven Drug Discovery industry.
This Insight Report provides a comprehensive analysis of the global AI-driven Drug Discovery landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI-driven Drug Discovery portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-driven Drug Discovery market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-driven Drug Discovery and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-driven Drug Discovery.
The global AI-driven Drug Discovery market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.
United States market for AI-driven Drug Discovery is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
China market for AI-driven Drug Discovery is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Europe market for AI-driven Drug Discovery is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Global key AI-driven Drug Discovery players cover Entos, Selvita, Benevolent, Exscientia, Euretos, Illumina with AstraZeneca, Novo Nordisk with Microsoft, Iktos and Aqemia, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-driven Drug Discovery market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Small Molecule Drug
Biological Modeling
Structural Biology
Others
Segmentation by application
Pharmaceutical and Biotechnology Companies
Research Laboratories
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Entos
Selvita
Benevolent
Exscientia
Euretos
Illumina with AstraZeneca
Novo Nordisk with Microsoft
Iktos
Aqemia
Zephyr AI
Cyclicarx
Eli Lilly
Terray Therapeutics
Ardigen
ReviveMed
Insilico Medicine
XtalPi
MindRank
DP Technology
Summary:
Get latest Market Research Reports on AI-driven Drug Discovery. Industry analysis & Market Report on AI-driven Drug Discovery is a syndicated market report, published as Global AI-driven Drug Discovery Market Growth (Status and Outlook) 2023-2029. It is complete Research Study and Industry Analysis of AI-driven Drug Discovery market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.