According to our (Global Info Research) latest study, the global Artificial Intelligence-driven Drug Development market size was valued at USD 1405.9 million in 2022 and is forecast to a readjusted size of USD 8513.8 million by 2029 with a CAGR of 29.3% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed.
This report is a detailed and comprehensive analysis for global Artificial Intelligence-driven Drug Development market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Key Features:
Global Artificial Intelligence-driven Drug Development market size and forecasts, in consumption value ($ Million), 2018-2029
Global Artificial Intelligence-driven Drug Development market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global Artificial Intelligence-driven Drug Development market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global Artificial Intelligence-driven Drug Development market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Artificial Intelligence-driven Drug Development
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Artificial Intelligence-driven Drug Development market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Exscientia, Google(Alphabet), Microsoft and Atomwise, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Market segmentation
Artificial Intelligence-driven Drug Development market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software
Service
Market segment by Application
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
Market segment by players, this report covers
IBM
Exscientia
Google(Alphabet)
Microsoft
Atomwise
Schrodinger
Aitia
Insilico Medicine
NVIDIA
XtalPi
BPGbio
Owkin
CytoReason
Deep Genomics
Cloud Pharmaceuticals
BenevolentAI
Cyclica
Verge Genomics
Valo Health
Envisagenics
Euretos
BioAge Labs
Iktos
BioSymetrics
Evaxion Biotech
Aria Pharmaceuticals
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial Intelligence-driven Drug Development product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Intelligence-driven Drug Development, with revenue, gross margin and global market share of Artificial Intelligence-driven Drug Development from 2018 to 2023.
Chapter 3, the Artificial Intelligence-driven Drug Development competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Artificial Intelligence-driven Drug Development market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence-driven Drug Development.
Chapter 13, to describe Artificial Intelligence-driven Drug Development research findings and conclusion.
Summary:
Get latest Market Research Reports on Artificial Intelligence-driven Drug Development. Industry analysis & Market Report on Artificial Intelligence-driven Drug Development is a syndicated market report, published as Global Artificial Intelligence-driven Drug Development Market 2023 by Company, Regions, Type and Application, Forecast to 2029. It is complete Research Study and Industry Analysis of Artificial Intelligence-driven Drug Development market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.