The Worldwide Artificial Intelligence for Drug Discovery and Development Industry is Expected to Reach $4.8 Billion by 2027 – ResearchAndMarkets.com

DUBLIN–(BUSINESS WIRE)–The “Global Artificial Intelligence for Drug Discovery and Development Market (2022-2027) by Offering, Application, End User, Technology, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis” report has been added to ResearchAndMarkets.com’s offering.

The Global Artificial Intelligence for Drug Discovery and Development Market is estimated to be USD 1.22 Bn in 2022 and is expected to reach USD 4.8 Bn by 2027, growing at a CAGR of 31.54%.

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.

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 for Drug Discovery and Development 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 for Drug Discovery and Development 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 for Drug Discovery and Development 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.

Market Dynamics

Drivers

• Need for Control Drug Discovery Process and Cost Reduction
• Increasing Need to Manage the Large Data Generated During Preclinical Studies
• Increasing Adoption Across Biopharmaceutical Companies

Restraints

• Unavailability of Skilled Professionals

Opportunities

• AI Cloud to Create a Streamlined and Automated Approach in Drug Discovery
• Increasingly Growing R&D Investments

Challenges

• Limited Availability of Data Sets

Market Segmentation

The Global Artificial Intelligence for Drug Discovery and Development Market is segmented based on Offering, Application, End User, Technology, and Geography.

• By Offering, the market is classified into Services and Software.
• By Application, the market is classified into Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases, and Neurodegenerative Diseases.
• By End User, the market is classified into Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers and Academic & Government Institutes.
• By Technology, the market is classified into Machine Learning, Machine Learning Technologies, and Other Technologies.
• By Geography, the market is classified into Americas, Europe, Middle-East & Africa and Asia-Pacific.

Companies Mentioned

• Aria Pharmaceuticals Inc
• Atomwise Inc BenevolentAI
• BioSymetrics
• Cloud Pharmaceuticals
• Cyclica
• Deep Genomics
• Envisagenics
• Exscientia
• IBM
• Insitro
• Novartis AG
• Nvidia
• Owkin Inc
• Verge Genomics
• XtalPi

For more information about this report visit https://www.researchandmarkets.com/r/9bekz7

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