AI For Drug Discovery Market Report
RA01445
AI for Drug Discovery Market, by Application (Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, Other Applications), End User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes), Technology (Machine Learning, Other Technologies), Offering (Software, Services): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global ai for drug discovery market is estimated to surpass $3,910.5 million by 2027, exhibiting a CAGR of 40.4% from 2020 to 2027.
The report aims to offer a clear view of the present scenario and future growth of the market. The report delivers scrupulous analysis of global ai for drug discovery market by exhaustively reviewing several factors of the market such as key segments, market dynamics, regional market circumstances, investment suitability, and foremost players operating in the market. Moreover, the report offers sharp insights into present and prospective trends & developments in the market.
Furthermore, key opportunities and factors fueling the market growth are articulated in the report. Also, limitations and threats that have the possibility to impede the market growth are outlined in the report. Moreover. Porter’s five forces analysis that explains the bargaining power of consumers and suppliers, competitive landscape, threats of new players, and development of substitutes in the market is also profiled in the report.
By analyzing the major factors shaping the market, the report reveals statistics such as predicted market size and forecast by deeply assessing every segment of the global ai for drug discovery market. Regional market analysis of these segments is also provided in the report. The report segments the global ai for drug discovery market into four main regions including Asia-Pacific, Europe, North America, and LAMEA. Moreover, these regions are sub-divided to offer an exhaustive landscape of the ai for drug discovery market across key countries in respective regions. Furthermore, the report divulges some of the latest advances, trends, and upcoming opportunities in every region.
In addition to these insights, the profiles of top players active in the global ai for drug discovery market are articulated in the report. An exhaustive summary of 10 foremost players functioning in the global ai for drug discovery market is delivered to comprehend their position and footmark in the market. The report highlights various data points such as short summary of the company, chief company executives, company’s financial status and proceeds, key business strategies executed by company, advanced developments or initiatives taken by company to thrust their position and grasp a remarkable position in the global ai for drug discovery market.
RESEARCH METHODOLOGY
The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights delivered in the report can help stakeholders in understanding investment suitability and market players to seize opportunities for partnerships, investments, and advancements in the global market.
The research report is formulated by collecting different information, news, and statistics about the ai for drug discovery market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes. Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.
KEY MARKET BENEFITS
- The report provides the market size and predictions for the period from 2020 to 2027.
- This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the ai for drug discovery market during the period of forecast.
- The prevailing and forthcoming investment opportunities along with the strategic assessment of the global ai for drug discovery market growth is delivered.
- The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the ai for drug discovery market.
- Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided.
- Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market.
KEY MARKET SEGMENTS
The report segments the global market into application ,end user ,technology ,offering .
- Application: Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, Other Applications
- End User: Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes
- Technology: Machine Learning, Other Technologies
- Offering: Software, Services
Region:
The global ai for drug discovery market is divided into North America, Europe, Asia Pacific, and LAMEA.
The above-mentioned regions are further dived in countries as follows:
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Argentina
- Saudi Arabia
- South Africa
- UAE
- Rest of LAMEA
KEY PLAYERS
The leading players stated in the report are BIOAGE, Cloud Pharmaceuticals, Atomwise, Inc., Numerate. The report articulates the business overview including financial and annual performance, newest strategic plans & developments, product range, and SWOT analysis of all the players mentioned in the report.
1. IBM Corporation
2. Microsoft
3. and Google
4. NVIDIA Corporation
5. Atomwise, Inc.
6. Deep Genomics
7. Cloud Pharmaceuticals
8. Insilico Medicine
9. BenevolentAI
10. Exscientia
11. Cyclica
12. BIOAGE
13. Numerate
14. NuMedii
15. Envisagenics
16. twoXAR
17. OWKIN, Inc.
18. XtalPi
19. Verge Genomics
20. BERG LLC
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1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
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2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global AI for Drug Discovery Market
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3. EXECUTIVE SUMMARY
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4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on AI for Drug Discovery Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
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5. AI For Drug Discovery Market, By Technology
5.1. Overview
5.2 Immuno-oncology
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 Neurodegenerative Diseases
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Cardiovascular Diseases
5.4.1 Definition, key trends, growth factors, and opportunities
5.4.2 Market size analysis, by region, 2020-2027
5.4.3 Market share analysis, by country, 2020-2027
5.5 Metabolic Diseases
5.5.1 Definition, key trends, growth factors, and opportunities
5.5.2 Market size analysis, by region, 2020-2027
5.5.3 Market share analysis, by country, 2020-2027
5.6 Other Applications
5.6.1 Definition, key trends, growth factors, and opportunities
5.6.2 Market size analysis, by region, 2020-2027
5.6.3 Market share analysis, by country, 2020-2027
5.7 Research Dive Exclusive Insights
5.7.1 Market attractiveness
5.7.2 Competition heatmap
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6. AI For Drug Discovery Market, By Distribution Channel
6.1. Overview
6.2 Pharmaceutical & Biotechnology Companies
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Contract Research Organizations
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Research Centers and Academic & Government Institutes
6.4.1 Definition, key trends, growth factors, and opportunities
6.4.2 Market size analysis, by region, 2020-2027
6.4.3 Market share analysis, by country, 2020-2027
6.5 Research Dive Exclusive Insights
6.5.1 Market attractiveness
6.5.2 Competition heatmap
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7. AI For Drug Discovery Market, By Procedure
7.1. Overview
7.2 Machine Learning
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Other Technologies
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 Research Dive Exclusive Insights
7.4.1 Market attractiveness
7.4.2 Competition heatmap
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8. AI For Drug Discovery Market, By Testing Type
8.1. Overview
8.2 Software
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Services
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Research Dive Exclusive Insights
8.4.1 Market attractiveness
8.4.2 Competition heatmap
9. AI For Drug Discovery Market, By Region
9.1 North America
9.1.1 U.S
9.1.1.1 Market size analysis, By Technology, 2020-2027
9.1.1.2 Market size analysis, By Distribution Channel, 2020-2027
9.1.1.3 Market size analysis, By Procedure, 2020-2027
9.1.1.4 Market size analysis, By Testing Type, 2020-2027
9.1.2 Canada
9.1.2.1 Market size analysis, By Technology, 2020-2027
9.1.2.2 Market size analysis, By Distribution Channel, 2020-2027
9.1.2.3 Market size analysis, By Procedure, 2020-2027
9.1.2.4 Market size analysis, By Testing Type, 2020-2027
9.1.3 Mexico
9.1.3.1 Market size analysis, By Technology, 2020-2027
9.1.3.2 Market size analysis, By Distribution Channel, 2020-2027
9.1.3.3 Market size analysis, By Procedure, 2020-2027
9.1.3.4 Market size analysis, By Testing Type, 2020-2027
9.1.4 Research Dive Exclusive Insights
9.1.4.1 Market attractiveness
9.1.4.2 Competition heatmap
9.2 Europe
9.2.1 Germany
9.2.1.1 Market size analysis, By Technology, 2020-2027
9.2.1.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.1.3 Market size analysis, By Procedure, 2020-2027
9.2.1.4 Market size analysis, By Testing Type, 2020-2027
9.2.2 UK
9.2.2.1 Market size analysis, By Technology, 2020-2027
9.2.2.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.2.3 Market size analysis, By Procedure, 2020-2027
9.2.2.4 Market size analysis, By Testing Type, 2020-2027
9.2.3 France
9.2.3.1 Market size analysis, By Technology, 2020-2027
9.2.3.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.3.3 Market size analysis, By Procedure, 2020-2027
9.2.3.4 Market size analysis, By Testing Type, 2020-2027
9.2.4 Spain
9.2.4.1 Market size analysis, By Technology, 2020-2027
9.2.4.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.4.3 Market size analysis, By Procedure, 2020-2027
9.2.4.4 Market size analysis, By Testing Type, 2020-2027
9.2.5 Italy
9.2.5.1 Market size analysis, By Technology, 2020-2027
9.2.5.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.5.3 Market size analysis, By Procedure, 2020-2027
9.2.5.4 Market size analysis, By Testing Type, 2020-2027
9.2.6 Rest of Europe
9.2.6.1 Market size analysis, By Technology, 2020-2027
9.2.6.2 Market size analysis, By Distribution Channel, 2020-2027
9.2.6.3 Market size analysis, By Procedure, 2020-2027
9.2.6.4 Market size analysis, By Testing Type, 2020-2027
9.2.7 Research Dive Exclusive Insights
9.2.7.1 Market attractiveness
9.2.7.2 Competition heatmap
9.3 Asia-Pacific
9.3.1 China
9.3.1.1 Market size analysis, By Technology, 2020-2027
9.3.1.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.1.3 Market size analysis, By Procedure, 2020-2027
9.3.1.4 Market size analysis, By Testing Type, 2020-2027
9.3.2 Japan
9.3.2.1 Market size analysis, By Technology, 2020-2027
9.3.2.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.2.3 Market size analysis, By Procedure, 2020-2027
9.3.2.4 Market size analysis, By Testing Type, 2020-2027
9.3.3 India
9.3.3.1 Market size analysis, By Technology, 2020-2027
9.3.3.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.3.3 Market size analysis, By Procedure, 2020-2027
9.3.3.4 Market size analysis, By Testing Type, 2020-2027
9.3.4 Australia
9.3.4.1 Market size analysis, By Technology, 2020-2027
9.3.4.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.4.3 Market size analysis, By Procedure, 2020-2027
9.3.4.4 Market size analysis, By Testing Type, 2020-2027
9.3.5 South Korea
9.3.5.1 Market size analysis, By Technology, 2020-2027
9.3.5.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.5.3 Market size analysis, By Procedure, 2020-2027
9.3.5.4 Market size analysis, By Testing Type, 2020-2027
9.3.6 Rest of Asia-Pacific
9.3.6.1 Market size analysis, By Technology, 2020-2027
9.3.6.2 Market size analysis, By Distribution Channel, 2020-2027
9.3.6.3 Market size analysis, By Procedure, 2020-2027
9.3.6.4 Market size analysis, By Testing Type, 2020-2027
9.3.7 Research Dive Exclusive Insights
9.3.7.1 Market attractiveness
9.3.7.2 Competition heatmap
9.4 LAMEA
9.4.1 Brazil
9.4.1.1 Market size analysis, By Technology, 2020-2027
9.4.1.2 Market size analysis, By Distribution Channel, 2020-2027
9.4.1.3 Market size analysis, By Procedure, 2020-2027
9.4.1.4 Market size analysis, By Testing Type, 2020-2027
9.4.2 Saudi Arabia
9.4.2.1 Market size analysis, By Technology, 2020-2027
9.4.2.2 Market size analysis, By Distribution Channel, 2020-2027
9.4.2.3 Market size analysis, By Procedure, 2020-2027
9.4.2.4 Market size analysis, By Testing Type, 2020-2027
9.4.3 UAE
9.4.3.1 Market size analysis, By Technology, 2020-2027
9.4.3.2 Market size analysis, By Distribution Channel, 2020-2027
9.4.3.3 Market size analysis, By Procedure, 2020-2027
9.4.3.4 Market size analysis, By Testing Type, 2020-2027
9.4.4 South Africa
9.4.4.1 Market size analysis, By Technology, 2020-2027
9.4.4.2 Market size analysis, By Distribution Channel, 2020-2027
9.4.4.3 Market size analysis, By Procedure, 2020-2027
9.4.4.4 Market size analysis, By Testing Type, 2020-2027
9.4.5 Rest of LAMEA
9.4.5.1 Market size analysis, By Technology, 2020-2027
9.4.5.2 Market size analysis, By Distribution Channel, 2020-2027
9.4.5.3 Market size analysis, By Procedure, 2020-2027
9.4.5.4 Market size analysis, By Testing Type, 2020-2027
9.4.6 Research Dive Exclusive Insights
9.4.6.1 Market attractiveness
9.4.6.2 Competition heatmap
10. Competitive Landscape
10.1 Top winning strategies, 2020-2027
10.1.1 By strategy
10.1.2 By year
10.2 Strategic overview
10.3 Market share analysis, 2020-2027
11. Company Profiles
11.1 IBM Corporation
11.1.1 Overview
11.1.2 Business segments
11.1.3 Product portfolio
11.1.4 Financial performance
11.1.5 Recent developments
11.1.6 SWOT analysis
11.2 Microsoft
11.2.1 Overview
11.2.2 Business segments
11.2.3 Product portfolio
11.2.4 Financial performance
11.2.5 Recent developments
11.2.6 SWOT analysis
11.3 and Google
11.3.1 Overview
11.3.2 Business segments
11.3.3 Product portfolio
11.3.4 Financial performance
11.3.5 Recent developments
11.3.6 SWOT analysis
11.4 NVIDIA Corporation
11.4.1 Overview
11.4.2 Business segments
11.4.3 Product portfolio
11.4.4 Financial performance
11.4.5 Recent developments
11.4.6 SWOT analysis
11.5 Atomwise, Inc.
11.5.1 Overview
11.5.2 Business segments
11.5.3 Product portfolio
11.5.4 Financial performance
11.5.5 Recent developments
11.5.6 SWOT analysis
11.6 Deep Genomics
11.6.1 Overview
11.6.2 Business segments
11.6.3 Product portfolio
11.6.4 Financial performance
11.6.5 Recent developments
11.6.6 SWOT analysis
11.7 Cloud Pharmaceuticals
11.7.1 Overview
11.7.2 Business segments
11.7.3 Product portfolio
11.7.4 Financial performance
11.7.5 Recent developments
11.7.6 SWOT analysis
11.8 Insilico Medicine
11.8.1 Overview
11.8.2 Business segments
11.8.3 Product portfolio
11.8.4 Financial performance
11.8.5 Recent developments
11.8.6 SWOT analysis
11.9 BenevolentAI
11.9.1 Overview
11.9.2 Business segments
11.9.3 Product portfolio
11.9.4 Financial performance
11.9.5 Recent developments
11.9.6 SWOT analysis
11.10 Exscientia
11.10.1 Overview
11.10.2 Business segments
11.10.3 Product portfolio
11.10.4 Financial performance
11.10.5 Recent developments
11.10.6 SWOT analysis
11.11 Cyclica
11.11.1 Overview
11.11.2 Business segments
11.11.3 Product portfolio
11.11.4 Financial performance
11.11.5 Recent developments
11.11.6 SWOT analysis
11.12 BIOAGE
11.12.1 Overview
11.12.2 Business segments
11.12.3 Product portfolio
11.12.4 Financial performance
11.12.5 Recent developments
11.12.6 SWOT analysis
11.13 Numerate
11.13.1 Overview
11.13.2 Business segments
11.13.3 Product portfolio
11.13.4 Financial performance
11.13.5 Recent developments
11.13.6 SWOT analysis
11.14 NuMedii
11.14.1 Overview
11.14.2 Business segments
11.14.3 Product portfolio
11.14.4 Financial performance
11.14.5 Recent developments
11.14.6 SWOT analysis
11.15 Envisagenics
11.15.1 Overview
11.15.2 Business segments
11.15.3 Product portfolio
11.15.4 Financial performance
11.15.5 Recent developments
11.15.6 SWOT analysis
11.16 twoXAR
11.16.1 Overview
11.16.2 Business segments
11.16.3 Product portfolio
11.16.4 Financial performance
11.16.5 Recent developments
11.16.6 SWOT analysis
11.17 OWKIN, Inc.
11.17.1 Overview
11.17.2 Business segments
11.17.3 Product portfolio
11.17.4 Financial performance
11.17.5 Recent developments
11.17.6 SWOT analysis
11.18 XtalPi
11.18.1 Overview
11.18.2 Business segments
11.18.3 Product portfolio
11.18.4 Financial performance
11.18.5 Recent developments
11.18.6 SWOT analysis
11.19 Verge Genomics
11.19.1 Overview
11.19.2 Business segments
11.19.3 Product portfolio
11.19.4 Financial performance
11.19.5 Recent developments
11.19.6 SWOT analysis
11.20 BERG LLC
11.20.1 Overview
11.20.2 Business segments
11.20.3 Product portfolio
11.20.4 Financial performance
11.20.5 Recent developments
11.20.6 SWOT analysis
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