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Global Artificial Intelligence in Drug Discovery Market (2022-2027) by Offering, Applications, End-users, and Geography, with Competitive Analysis, Impact of COVID-19, and Ansoff Analysis

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    Report

  • 195 Pages
  • July 2022
  • Region: Global
  • Infogence Global Research
  • ID: 5650770

AI can assist in structure-based drug discovery by predicting the 3D protein structure because the design is in accordance with the chemical environment of the target protein site

The Global Artificial Intelligence in Drug Discovery Market is estimated to be worth USD 869.3 million in 2022, and is expected to reach USD 2,718.26 million by 2027, growing at a CAGR of 25.61%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals. As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentation

The Global Artificial Intelligence in Drug Discovery Market is segmented based on Offering, Applications, End-users, and Geography.
  • By Offering, the market is classified into Services and Software.
  • By Applications, the market is classified into Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases, and Neurodegenerative Diseases.
  • By End-users, the market is classified into Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers, and Academic & Government Institutes.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Aria Pharmaceuticals, Atomwise, Inc., BenevolentAI Ltd., BioSymetrics Inc., Cloud Pharmaceuticals, Inc., Cyclica Inc., Deep Genomics, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

The Competitive Quadrant

The report includes the Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Drug Discovery Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The Global Artificial Intelligence in Drug Discovery Market is analyzed using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, suitable strategies have been devised for market growth.

Why Buy This Report?

  • The report offers a comprehensive evaluation of the Global Artificial Intelligence in Drug Discovery Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel within the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of COVID-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario within the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules & regulations imposed on this sector across various geographies.
  • The report also contains competitive analysis using 'Positioning Quadrants'; a proprietary competitive positioning tool.

Report Highlights

  • A complete analysis of the market, including the parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Proprietary Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Growing Need to Control Drug Discovery & Development Costs and Reduce Time Involved in Drug Development
4.1.2 Increasing Need to Manage the Large Data Generated During Preclinical Studies
4.1.3 Growing Number of Cross-industry Collaborations and Partnerships
4.2 Restraints
4.2.1 Ambiguous Regulatory Guidelines for Medical Software
4.2.2 Unavailability of Skilled Professionals
4.3 Opportunities
4.3.1 AI Cloud to Create a Streamlined and Automated Approach in Drug Discovery
4.3.2 Increasingly Growing R&D Investments
4.4 Challenges
4.4.1 Limited Availability of Data Sets
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Artificial Intelligence in Drug Discovery Market, by Offering
6.1 Introduction
6.2 Services
6.3 Software
7 Global Artificial Intelligence in Drug Discovery Market, by Applications
7.1 Introduction
7.2 Cardiovascular Disease
7.3 Immuno-Oncology
7.4 Metabolic Diseases
7.5 Neurodegenerative Diseases
8 Global Artificial Intelligence in Drug Discovery Market, by End-users
8.1 Introduction
8.2 Contract Research Organizations
8.3 Pharmaceutical & Biotechnology Companies
8.4 Research Centers and Academic & Government Institutes
9 Americas’ Artificial Intelligence in Drug Discovery Market
9.1 Introduction
9.2 Argentina
9.3 Brazil
9.4 Canada
9.5 Chile
9.6 Colombia
9.7 Mexico
9.8 Peru
9.9 United States
9.10 Rest of Americas
10 Europe’s Artificial Intelligence in Drug Discovery Market
10.1 Introduction
10.2 Austria
10.3 Belgium
10.4 Denmark
10.5 Finland
10.6 France
10.7 Germany
10.8 Italy
10.9 Netherlands
10.10 Norway
10.11 Poland
10.12 Russia
10.13 Spain
10.14 Sweden
10.15 Switzerland
10.16 United Kingdom
10.17 Rest of Europe
11 Middle East and Africa’s Artificial Intelligence in Drug Discovery Market
11.1 Introduction
11.2 Egypt
11.3 Israel
11.4 Qatar
11.5 Saudi Arabia
11.6 South Africa
11.7 United Arab Emirates
11.8 Rest of MEA
12 APAC’s Artificial Intelligence in Drug Discovery Market
12.1 Introduction
12.2 Australia
12.3 Bangladesh
12.4 China
12.5 India
12.6 Indonesia
12.7 Japan
12.8 Malaysia
12.9 Philippines
12.10 Singapore
12.11 South Korea
12.12 Sri Lanka
12.13 Thailand
12.14 Taiwan
12.15 Rest of Asia-Pacific
13 Competitive Landscape
13.1 Competitive Quadrant
13.2 Market Share Analysis
13.3 Strategic Initiatives
13.3.1 M&A and Investments
13.3.2 Partnerships and Collaborations
13.3.3 Product Developments and Improvements
14 Company Profiles
14.1 Aria Pharmaceuticals
14.2 Atomwise, Inc.
14.3 BenevolentAI Ltd.
14.4 BioSymetrics Inc.
14.5 Cloud Pharmaceuticals, Inc.
14.6 Cyclica Inc.
14.7 Deep Genomics
14.8 Envisagenics, Inc.
14.9 Evaxion Biotech A/S
14.10 Exscientia PLC
14.11 IBM Crop.
14.12 Iktos Inc.
14.13 Insitro, Inc.
14.14 Novartis AG
14.15 Nvidia Corp.
14.16 Owkin, Inc.
14.17 Standigm Inc.
14.18 Valo Health, Inc.
14.19 Verge Genomics
14.20 XtalPi Inc.
15 Appendix
15.1 Questionnaire

Companies Mentioned

  • Aria Pharmaceuticals
  • Atomwise, Inc.
  • BenevolentAI Ltd.
  • BioSymetrics Inc.
  • Cloud Pharmaceuticals, Inc.
  • Cyclica Inc.
  • Deep Genomics
  • Envisagenics, Inc.
  • Evaxion Biotech A/S
  • Exscientia PLC
  • IBM Crop.
  • Iktos Inc.
  • Insitro, Inc.
  • Novartis AG
  • Nvidia Corp.
  • Owkin, Inc.
  • Standigm Inc.
  • Valo Health, Inc.
  • Verge Genomics
  • XtalPi Inc.

Table Information