Insights on the Artificial Intelligence for Drug Discovery and Development Global Market to 2027 - AI Cloud to Create a Streamlined and Automated Approach in Drug Discovery
DUBLIN, Aug. 18, 2022 /PRNewswire/ -- 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.
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 Inc, Atomwise Inc., BenevolentAI, BioSymetrics, Cloud Pharmaceuticals, 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 for Drug Discover 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.
Key Topics Covered:
1 Report Description
2 Research Methodology
3 Executive Summary 3.1 Introduction 3.2 Market Size, Segmentations and Outlook
4 Market Dynamics 4.1 Drivers 4.1.1 Need for Control Drug Discovery Process and Cost Reduction 4.1.2 Increasing Need to Manage the Large Data Generated During Preclinical Studies 4.1.3 Increasing Adoption Across Biopharmaceutical Companies 4.2 Restraints 4.2.1 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 for Drug Discovery and Development Market, By Offering 6.1 Introduction 6.2 Services 6.3 Software
7 Global Artificial Intelligence for Drug Discovery and Development Market, By Application 7.1 Introduction 7.2 Cardiovascular Disease 7.3 Immuno-Oncology 7.4 Metabolic Diseases 7.5 Neurodegenerative Diseases
8 Global Artificial Intelligence for Drug Discovery and Development Market, By End User 8.1 Introduction 8.2 Contract Research Organizations 8.3 Pharmaceutical & Biotechnology Companies 8.4 Research Centers and Academic & Government Institutes
9 Global Artificial Intelligence for Drug Discovery and Development Market, By Technology 9.1 Introduction 9.2 Machine Learning 9.2.1 Deep Learning 9.2.2 Supervised Learning 9.2.3 Reinforcement Learning 9.2.4 Unsupervised Learning 9.2.5 Other Machine Learning Technologies 9.3 Other Technologies
10 Americas' Artificial Intelligence for Drug Discovery and Development Market 10.1 Introduction 10.2 Argentina 10.3 Brazil 10.4 Canada 10.5 Chile 10.6 Colombia 10.7 Mexico 10.8 Peru 10.9 United States 10.10 Rest of Americas
11 Europe's Artificial Intelligence for Drug Discovery and Development Market 11.1 Introduction 11.2 Austria 11.3 Belgium 11.4 Denmark 11.5 Finland 11.6 France 11.7 Germany 11.8 Italy 11.9 Netherlands 11.10 Norway 11.11 Poland 11.12 Russia 11.13 Spain 11.14 Sweden 11.15 Switzerland 11.16 United Kingdom 11.17 Rest of Europe
12 Middle East and Africa's Artificial Intelligence for Drug Discovery and Development Market 12.1 Introduction 12.2 Egypt 12.3 Israel 12.4 Qatar 12.5 Saudi Arabia 12.6 South Africa 12.7 United Arab Emirates 12.8 Rest of MEA
13 APAC's Artificial Intelligence for Drug Discovery and Development Market 13.1 Introduction 13.2 Australia 13.3 Bangladesh 13.4 China 13.5 India 13.6 Indonesia 13.7 Japan 13.8 Malaysia 13.9 Philippines 13.10 Singapore 13.11 South Korea 13.12 Sri Lanka 13.13 Thailand 13.14 Taiwan 13.15 Rest of Asia-Pacific
14 Competitive Landscape 14.1 Competitive Quadrant 14.2 Market Share Analysis 14.3 Strategic Initiatives 14.3.1 M&A and Investments 14.3.2 Partnerships and Collaborations 14.3.3 Product Developments and Improvements
15 Company Profiles 15.1 Aria Pharmaceuticals Inc 15.2 Atomwise Inc 15.3 BenevolentAI 15.4 BioSymetrics 15.5 Cloud Pharmaceuticals 15.6 Cyclica 15.7 Deep Genomics 15.8 Envisagenics 15.9 Exscientia 15.10 IBM 15.11 Insitro 15.12 Novartis AG 15.13 Nvidia 15.14 Owkin Inc 15.15 Verge Genomics 15.16 XtalPi
16 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/awqyve
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