Global Artificial Intelligence (AI) in Drug Discovery Market (2022-2027) by Offering, Drug Type, Technology, Applications, End-Users, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

Several AI-drug discovery companies build their own end-to-end drug discovery capabilities and internal pipelines, launching a new biotech firm

The Global Artificial Intelligence (AI) in Drug Discovery Market is estimated to be USD 792.45 Mn in 2022 and is expected to reach USD 2337.25 Mn by 2027, growing at a CAGR of 24.15%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence (AI) in Drug Discovery Market 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 Segmentations

The Global Artificial Intelligence (AI) in Drug Discovery Market is segmented based on Offering, Drug Type, Technology, Applications, End-Users, and Geography.

• By Offering, the market is classified into Software and Services.
• By Drug Type, the market is classified into Small Molecules and Large Molecules.
• By Technology, the market is classified into Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, and Other Technologies.
• By Applications, the market is classified into Oncology, Infectious Diseases, Neurological Disorders, Metabolic Diseases, Cardiovascular Diseases, and Others.
• By End-Users, the market is classified into Pharmaceutical & Biotechnology Companies, Contract Research Organizations, 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, Cloud Pharmaceuticals, Inc., Cyclica Inc., Google LLC, IBM Corp., Microsoft Corp., Owkin, Inc., Verge Genomics Inc., XtalPi Inc., 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)

Competitive Quadrant

The report includes 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 (AI) 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 analyst analyses the Global Artificial Intelligence (AI) in Drug Discovery Market 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, the analyst has devised suitable strategies for market growth.

Why buy this report?

• The report offers a comprehensive evaluation of the Global Artificial Intelligence (AI) 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 in 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 in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
• The report also contains the competitive analysis using Positioning Quadrants, the analyst's 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