Intelligent Drug Discovery Market
The global Intelligent Drug Discovery Market is forecasted to be worth USD 3,711.8 Million by 2027, according to a current analysis by Emergen Research. The intelligent drug technology market is growing, and several pharmaceutical companies are focusing on the development of drugs using artificial intelligence. The pharma companies are taking advantage of the technology to discover drugs for more complex diseases.
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The report covers in-depth profiling of the prominent players of the industry and includes IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others. Furthermore, it offers a detailed analysis of the competitive landscape of the market with massive data on recent trends, technological developments, product advancements, methodologies, and strategic business decisions such as mergers and acquisitions, joint ventures, collaborations, and product launches, among others.
For the purpose of this report, Emergen Research has segmented into the global Intelligent Drug Discovery Market on the offering, technology, application, and end-user:
The report further covers extensive regional analysis of the Intelligent Drug Discovery industry with regards to market scope, market size, market share, revenue generation, production and consumption ratio, supply and demand ratio, and analysis of the key players operating in those regions. The regional analysis covers North America, Europe, AsiaPacific, Latin America, and Middle East & Africa.
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Key questions answered in the Report:
The report studies dynamic market elements such as drivers, restraints, challenges, threats, opportunities, and growth prospects, among others. The report presents the statistical data in an organized format with pictorial representations in charts, graphs, tables, figures, and diagrams. The report offers strategic recommendations to the new entrants as well as established players to assist them in capitalizing on the advantageous opportunities. The detailed analysis of the competitive landscape offers a competitive advantage to the reader and helps them gain a better understanding of the industry.
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Table of Content
Chapter 1. Methodology & Sources 1.1. Market Definition 1.2. Research Scope 1.3. Methodology 1.4. Research Sources 1.4.1. Primary 1.4.2. Secondary 1.4.3. Paid Sources 1.5. Market Estimation Technique Chapter 2. Executive Summary 2.1. Summary Snapshot, 2019-2027 Chapter 3. Key Insights Chapter 4. Intelligent Drug Discovery Market Segmentation & Impact Analysis 4.1. Intelligent Drug Discovery Market Material Segmentation Analysis 4.2. Industrial Outlook 4.2.1. Market indicators analysis 4.2.2. Market drivers analysis 4.2.2.1. Need to Control Drug Discovery & Development Costs and Reduce Time 4.2.2.2. Growing Number of Cross-Industry Collaborations and Partnerships 4.2.3. Market restraints analysis 4.2.3.1. Limited Availability of Data Sets 4.3. Technological Insights 4.4. Regulatory Framework 4.5. Porter’s Five Forces Analysis 4.6. Competitive Metric Space Analysis 4.7. Price trend Analysis 4.8. Covid-19 Impact Analysis
Chapter 5. Intelligent Drug Discovery Market By Offering Insights & Trends Revenue (USD Million) 5.1. Offering Dynamics & Market Share, 2019 & 2027 5.1.1. Software 5.1.2. Services
Chapter 6. Intelligent Drug Discovery Market By Technology Insights & Trends Revenue (USD Million) 6.1. Technology Dynamics & Market Share, 2019 & 2027 6.1.1. Machine Learning 6.1.1.1. Supervised Learning 6.1.1.2. Deep Learning 6.1.1.3. Reinforcement Learning 6.1.1.4. Unsupervised Learning 6.1.2. Other Technologies
Chapter 7. Intelligent Drug Discovery Market By Application Insights & Trends Revenue (USD Million) 7.1. Application Dynamics & Market Share, 2019 & 2027 7.1.1. Neurodegenerative Diseases 7.1.2. Metabolic Diseases 7.1.3. Immuno-Oncology 7.1.4. Cardiovascular Disease 7.1.5. Others
CONTINUED…!!
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