Global Machine Learning in Drug Discovery and Development Supply, Demand and Key Producers, 2023-2029
The global Machine Learning in Drug Discovery and Development market size is expected to reach $ 6107.5 million by 2029, rising at a market growth of 27.4% CAGR during the forecast period (2023-2029).
This report studies the global Machine Learning in Drug Discovery and Development demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Machine Learning in Drug Discovery and Development, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Machine Learning in Drug Discovery and Development that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Machine Learning in Drug Discovery and Development total market, 2018-2029, (USD Million)
Global Machine Learning in Drug Discovery and Development total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Machine Learning in Drug Discovery and Development total market, key domestic companies and share, (USD Million)
Global Machine Learning in Drug Discovery and Development revenue by player and market share 2018-2023, (USD Million)
Global Machine Learning in Drug Discovery and Development total market by Type, CAGR, 2018-2029, (USD Million)
Global Machine Learning in Drug Discovery and Development total market by Application, CAGR, 2018-2029, (USD Million)
This reports profiles major players in the global Machine Learning in Drug Discovery and Development market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine and NVIDIA, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Machine Learning in Drug Discovery and Development market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.
Global Machine Learning in Drug Discovery and Development Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Machine Learning in Drug Discovery and Development Market, Segmentation by Type
Supervised Learning
Semi-supervised Learning
Unsupervised Learning
Reinforcement Learning
Global Machine Learning in Drug Discovery and Development Market, Segmentation by Application
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
Companies Profiled:
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, Inc
Key Questions Answered
1. How big is the global Machine Learning in Drug Discovery and Development market?
2. What is the demand of the global Machine Learning in Drug Discovery and Development market?
3. What is the year over year growth of the global Machine Learning in Drug Discovery and Development market?
4. What is the total value of the global Machine Learning in Drug Discovery and Development market?
5. Who are the major players in the global Machine Learning in Drug Discovery and Development market?
6. What are the growth factors driving the market demand?