Artificial Intelligence (AI) In Drug Discovery Market Report
RA01302
Artificial Intelligence (AI) in Drug Discovery Market, by Offerings (Software, Services), Technology (Machine Learning, Others Technologies), 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): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global artificial intelligence (ai) in drug discovery market is estimated to surpass $3,955.3 million by 2027, exhibiting a CAGR of 40.6% from 2020 to 2027.
This report provides detailed insights on the present position and future perspective of the industry by deeply analyzing key factors of the market including major segments and regions, market drivers and restraints, rewarding investment opportunities, major players, and competitive outlook.
The report also furnishes the significant forces that are impacting market growth. Moreover, the report provides Porter’s Five Forces analysis which reveals the forte of prevailing players and the condition of the market in terms of growth and future opportunities. Furthermore, the report offers clear insights on the market size and scope by analyzing the global artificial intelligence (ai) in drug discovery market across different segments and sub-segments. The report offers detailed insights on the regional market condition of these segments and each segment is meticulously analyzed at regional as well as country level to get a broader scenario of the global artificial intelligence (ai) in drug discovery market. The report divides the global artificial intelligence (ai) in drug discovery market into four key regions including North America, Europe, Asia-Pacific, and LAMEA which are further segmented into major countries to cover the artificial intelligence (ai) in drug discovery market lookout in respective areas.
Additionally, competitive landscape of the global artificial intelligence (ai) in drug discovery market is deliberated in the report. Key players active in the global artificial intelligence (ai) in drug discovery market are also evaluated to understand their position in the global market. The report also provides information on product portfolio, company initiatives, winning business strategies, novel developments, and financial position of these players.
Research Methodology
We claim to offer our clients with reliable research and analysis garnered from various industry parameters and inputs such as recent trends, interview with participants of the industry, trustworthy sources of information & statistics, and regional acumen. Our expert market analysts have formulated this report by keenly scrutinizing every aspect of the market. Moreover, various top research and analysis approaches and tools have been used to draft this report with fine points, quality, and precision.
Various activities such as detailed deliberations and interviews with various leading investors and market professionals have been performed to collate every detail as well as driving forces of the global market. Both primary as well as secondary research techniques have been implemented for capturing detailed market predictions and forecasts. A huge variety of industry related documents such as industry releases, product type literatures, yearly reports, and others have been keenly studied for obtaining a clearer picture of the global artificial intelligence (ai) in drug discovery market scenario. Moreover, certified and renowned resources such as independent studies, medical journals, technical journals, releases by trade association, materials published by government & regulatory authorities, and others have been reviewed to better understand the global market condition.
KEY MARKET BENEFITS
- This report caters detailed analysis, information, and valid inputs from industry specialists & contributors across the value chain
- The report offers an inclusive breakdown along with the latest trends and developments in the market during the forecast period from 2019 to 2027, thus highlighting upcoming investment opportunities and future scope of the market
- The report highlights all the major factors and events in the market from 2019 to 2027 and reveals the qualitative impact of other forces on market segments and geographies
- The report delivers reliable market forecasts and size by deeply scrutinizing key segments, driving and restraining factors, and recent & key developments by major players in the artificial intelligence (ai) in drug discovery market
- The report presents winning growth tactics and plans adopted by the key industry players for understanding the competitive landscape of the global artificial intelligence (ai) in drug discovery market
KEY MARKET SEGMENTS
The report deliberates the following segments of the market:
- Offerings: Software, Services
- Technology: Machine Learning, Others Technologies
- 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
Region:
The global artificial intelligence (ai) in drug discovery market was evaluated across 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 MARKET PLAYERS
The report provides in-depth insights on the key players operating in the global artificial intelligence (ai) in drug discovery market. The major players enlisted in the report include Numerate, IBM Corporation, twoXAR, BIOAGE.
The report profiles several facts of all these key players as follows:
1. IBM Corporation
2. Microsoft
3. Google
4. NVIDIA Corporation
5. Atomwise, Inc.
6. Deep Genomics
7. Cloud Pharmaceuticals
8. Insilico Medicine
9. Benevolent AI
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 Artificial Intelligence (AI) in 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 Artificial Intelligence (AI) in Drug Discovery Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
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5. Artificial Intelligence (AI) In Drug Discovery Market, By Usage
5.1. Overview
5.2 Software
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 Services
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 Research Dive Exclusive Insights
5.4.1 Market attractiveness
5.4.2 Competition heatmap
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6. Artificial Intelligence (AI) In Drug Discovery Market, By Lumen
6.1. Overview
6.2 Machine Learning
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 Others Technologies
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 Dive Exclusive Insights
6.4.1 Market attractiveness
6.4.2 Competition heatmap
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7. Artificial Intelligence (AI) In Drug Discovery Market, By Resorbability
7.1. Overview
7.2 Immuno-oncology
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 Neurodegenerative Diseases
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 Cardiovascular Diseases
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 Metabolic Diseases
7.5.1 Definition, key trends, growth factors, and opportunities
7.5.2 Market size analysis, by region, 2020-2027
7.5.3 Market share analysis, by country, 2020-2027
7.6 Other Applications
7.6.1 Definition, key trends, growth factors, and opportunities
7.6.2 Market size analysis, by region, 2020-2027
7.6.3 Market share analysis, by country, 2020-2027
7.7 Research Dive Exclusive Insights
7.7.1 Market attractiveness
7.7.2 Competition heatmap
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8. Artificial Intelligence (AI) In Drug Discovery Market,
8.1. Overview
8.2 Pharmaceutical & Biotechnology Companies
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 Contract Research Organizations
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 Centers and Academic & Government Institutes
8.4.1 Definition, key trends, growth factors, and opportunities
8.4.2 Market size analysis, by region, 2020-2027
8.4.3 Market share analysis, by country, 2020-2027
8.5 Research Dive Exclusive Insights
8.5.1 Market attractiveness
8.5.2 Competition heatmap
9. Artificial Intelligence (AI) In Drug Discovery Market, By Region
9.1 North America
9.1.1 U.S
9.1.1.1 Market size analysis, By Usage, 2020-2027
9.1.1.2 Market size analysis, By Lumen, 2020-2027
9.1.1.3 Market size analysis, By Resorbability, 2020-2027
9.1.1.4 Market size analysis, , 2020-2027
9.1.2 Canada
9.1.2.1 Market size analysis, By Usage, 2020-2027
9.1.2.2 Market size analysis, By Lumen, 2020-2027
9.1.2.3 Market size analysis, By Resorbability, 2020-2027
9.1.2.4 Market size analysis, , 2020-2027
9.1.3 Mexico
9.1.3.1 Market size analysis, By Usage, 2020-2027
9.1.3.2 Market size analysis, By Lumen, 2020-2027
9.1.3.3 Market size analysis, By Resorbability, 2020-2027
9.1.3.4 Market size analysis, , 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 Usage, 2020-2027
9.2.1.2 Market size analysis, By Lumen, 2020-2027
9.2.1.3 Market size analysis, By Resorbability, 2020-2027
9.2.1.4 Market size analysis, , 2020-2027
9.2.2 UK
9.2.2.1 Market size analysis, By Usage, 2020-2027
9.2.2.2 Market size analysis, By Lumen, 2020-2027
9.2.2.3 Market size analysis, By Resorbability, 2020-2027
9.2.2.4 Market size analysis, , 2020-2027
9.2.3 France
9.2.3.1 Market size analysis, By Usage, 2020-2027
9.2.3.2 Market size analysis, By Lumen, 2020-2027
9.2.3.3 Market size analysis, By Resorbability, 2020-2027
9.2.3.4 Market size analysis, , 2020-2027
9.2.4 Spain
9.2.4.1 Market size analysis, By Usage, 2020-2027
9.2.4.2 Market size analysis, By Lumen, 2020-2027
9.2.4.3 Market size analysis, By Resorbability, 2020-2027
9.2.4.4 Market size analysis, , 2020-2027
9.2.5 Italy
9.2.5.1 Market size analysis, By Usage, 2020-2027
9.2.5.2 Market size analysis, By Lumen, 2020-2027
9.2.5.3 Market size analysis, By Resorbability, 2020-2027
9.2.5.4 Market size analysis, , 2020-2027
9.2.6 Rest of Europe
9.2.6.1 Market size analysis, By Usage, 2020-2027
9.2.6.2 Market size analysis, By Lumen, 2020-2027
9.2.6.3 Market size analysis, By Resorbability, 2020-2027
9.2.6.4 Market size analysis, , 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 Usage, 2020-2027
9.3.1.2 Market size analysis, By Lumen, 2020-2027
9.3.1.3 Market size analysis, By Resorbability, 2020-2027
9.3.1.4 Market size analysis, , 2020-2027
9.3.2 Japan
9.3.2.1 Market size analysis, By Usage, 2020-2027
9.3.2.2 Market size analysis, By Lumen, 2020-2027
9.3.2.3 Market size analysis, By Resorbability, 2020-2027
9.3.2.4 Market size analysis, , 2020-2027
9.3.3 India
9.3.3.1 Market size analysis, By Usage, 2020-2027
9.3.3.2 Market size analysis, By Lumen, 2020-2027
9.3.3.3 Market size analysis, By Resorbability, 2020-2027
9.3.3.4 Market size analysis, , 2020-2027
9.3.4 Australia
9.3.4.1 Market size analysis, By Usage, 2020-2027
9.3.4.2 Market size analysis, By Lumen, 2020-2027
9.3.4.3 Market size analysis, By Resorbability, 2020-2027
9.3.4.4 Market size analysis, , 2020-2027
9.3.5 South Korea
9.3.5.1 Market size analysis, By Usage, 2020-2027
9.3.5.2 Market size analysis, By Lumen, 2020-2027
9.3.5.3 Market size analysis, By Resorbability, 2020-2027
9.3.5.4 Market size analysis, , 2020-2027
9.3.6 Rest of Asia-Pacific
9.3.6.1 Market size analysis, By Usage, 2020-2027
9.3.6.2 Market size analysis, By Lumen, 2020-2027
9.3.6.3 Market size analysis, By Resorbability, 2020-2027
9.3.6.4 Market size analysis, , 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 Usage, 2020-2027
9.4.1.2 Market size analysis, By Lumen, 2020-2027
9.4.1.3 Market size analysis, By Resorbability, 2020-2027
9.4.1.4 Market size analysis, , 2020-2027
9.4.2 Saudi Arabia
9.4.2.1 Market size analysis, By Usage, 2020-2027
9.4.2.2 Market size analysis, By Lumen, 2020-2027
9.4.2.3 Market size analysis, By Resorbability, 2020-2027
9.4.2.4 Market size analysis, , 2020-2027
9.4.3 UAE
9.4.3.1 Market size analysis, By Usage, 2020-2027
9.4.3.2 Market size analysis, By Lumen, 2020-2027
9.4.3.3 Market size analysis, By Resorbability, 2020-2027
9.4.3.4 Market size analysis, , 2020-2027
9.4.4 South Africa
9.4.4.1 Market size analysis, By Usage, 2020-2027
9.4.4.2 Market size analysis, By Lumen, 2020-2027
9.4.4.3 Market size analysis, By Resorbability, 2020-2027
9.4.4.4 Market size analysis, , 2020-2027
9.4.5 Rest of LAMEA
9.4.5.1 Market size analysis, By Usage, 2020-2027
9.4.5.2 Market size analysis, By Lumen, 2020-2027
9.4.5.3 Market size analysis, By Resorbability, 2020-2027
9.4.5.4 Market size analysis, , 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 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 Benevolent AI
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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