Top Key Companies for Artificial Intelligence Drug R&D Market: Genpact Cora, Phenomic AI, Cyclica Inc, Google DeepMind, Insilico Medicine, QuantumBlack, Nq Medical, BioXel, Gatehouse Bio, IBM Watson.
Global Artificial Intelligence Drug R&D Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2023-2030, Considering the Base Year As 2022.
Global Artificial Intelligence Drug R&D Market Overview And Scope:
The Global Artificial Intelligence Drug R&D Market Report 2023 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence Drug R&D utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2023 and 2030. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Global Artificial Intelligence Drug R&D Market Segmentation
By Type, Artificial Intelligence Drug R&D market has been segmented into:
AI Platform
Analytics Service
By Application, Artificial Intelligence Drug R&D market has been segmented into:
Drug Discovery
Precision Medicine
Regional Analysis of Artificial Intelligence Drug R&D Market:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape of Artificial Intelligence Drug R&D Market:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence Drug R&D market study focused on including all the primary level, secondary level and tertiary level competitors in the report.The data generated by conducting the primary and secondary research. The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence Drug R&D market.
Top Key Companies Covered in Artificial Intelligence Drug R&D market are:
Genpact Cora
Phenomic AI
Cyclica Inc
Google DeepMind
Insilico Medicine
QuantumBlack
Nq Medical
BioXel
Gatehouse Bio
IBM Watson
Key Questions answered in the Artificial Intelligence Drug R&D Market Report:
1. What is the expected Artificial Intelligence Drug R&D Market size during the forecast period, 2022-2028?
2. Which region is the largest market for the Artificial Intelligence Drug R&D Market?
3. What is the expected future scenario and the revenue generated by different regions and countries in the Artificial Intelligence Drug R&D Market, such as North America, Europe, AsiaPacific & Japan, China, U.K., South America, and Middle East and Africa?
4. What is the competitive strength of the key players in the Artificial Intelligence Drug R&D Market on the basis of the analysis of their recent developments, product offerings, and regional presence?
5. Where do the key Artificial Intelligence Drug R&D companies lie in their competitive benchmarking compared to the factors of market coverage and market potential?
6. How are the adoption scenario, related opportunities, and challenges impacting the Artificial Intelligence Drug R&D Markets?
7. How is the funding and investment landscape in the Artificial Intelligence Drug R&D Market?
8. Which are the leading consortiums and associations in the Artificial Intelligence Drug R&D Market, and what is their role in the market?
Research Methodology for Artificial Intelligence Drug R&D Market Report:
The report presents a detailed assessment of the Artificial Intelligence Drug R&D Market, along with qualitative inputs and insights from Company. This research study involved the extensive use of both primary and secondary sources.Various factors affecting the industry were studied to identify the segmentation types; industry trends; key players; competitive landscape of different products and services provided by separate market players;key market dynamics, such as drivers, restraints, opportunities, challenges, and industry trends; and key player strategies. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights.Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence Drug R&D Market by Type
5.1 Artificial Intelligence Drug R&D Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence Drug R&D Market Overview
5.3 AI Platform
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2030F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 AI Platform: Geographic Segmentation
5.4 Analytics Service
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2030F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Analytics Service: Geographic Segmentation
Chapter 6: Artificial Intelligence Drug R&D Market by Application
6.1 Artificial Intelligence Drug R&D Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence Drug R&D Market Overview
6.3 Drug Discovery
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2030F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Drug Discovery: Geographic Segmentation
6.4 Precision Medicine
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2030F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Precision Medicine: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence Drug R&D Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence Drug R&D Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence Drug R&D Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 GENPACT CORA
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 PHENOMIC AI
7.4 CYCLICA INC
7.5 GOOGLE DEEPMIND
7.6 INSILICO MEDICINE
7.7 QUANTUMBLACK
7.8 NQ MEDICAL
7.9 BIOXEL
7.10 GATEHOUSE BIO
7.11 IBM WATSON
Chapter 8: Global Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 AI Platform
8.2.2 Analytics Service
8.3 Historic and Forecasted Market Size By Application
8.3.1 Drug Discovery
8.3.2 Precision Medicine
Chapter 9: North America Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 AI Platform
9.4.2 Analytics Service
9.5 Historic and Forecasted Market Size By Application
9.5.1 Drug Discovery
9.5.2 Precision Medicine
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 AI Platform
10.4.2 Analytics Service
10.5 Historic and Forecasted Market Size By Application
10.5.1 Drug Discovery
10.5.2 Precision Medicine
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 AI Platform
11.4.2 Analytics Service
11.5 Historic and Forecasted Market Size By Application
11.5.1 Drug Discovery
11.5.2 Precision Medicine
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 AI Platform
12.4.2 Analytics Service
12.5 Historic and Forecasted Market Size By Application
12.5.1 Drug Discovery
12.5.2 Precision Medicine
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 AI Platform
13.4.2 Analytics Service
13.5 Historic and Forecasted Market Size By Application
13.5.1 Drug Discovery
13.5.2 Precision Medicine
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence Drug R&D Market Analysis, Insights and Forecast, 2016-2030
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 AI Platform
14.4.2 Analytics Service
14.5 Historic and Forecasted Market Size By Application
14.5.1 Drug Discovery
14.5.2 Precision Medicine
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence Drug R&D Scope:
Report Data
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Artificial Intelligence Drug R&D Market
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Artificial Intelligence Drug R&D Market Size in 2022
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USD XXX million
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Artificial Intelligence Drug R&D CAGR 2023 - 2030
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XX%
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Artificial Intelligence Drug R&D Base Year
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2022
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Artificial Intelligence Drug R&D Forecast Data
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2023 - 2030
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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Genpact Cora, Phenomic AI, Cyclica Inc, Google DeepMind, Insilico Medicine, QuantumBlack, Nq Medical, BioXel, Gatehouse Bio, IBM Watson.
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Key Segments
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By Type
AI Platform Analytics Service
By Applications
Drug Discovery Precision Medicine
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