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 Global Intelligent Drug Discovery Market Report offers extensive knowledge and information about the Intelligent Drug Discovery market pertaining to market size, market share, growth influencing factors, opportunities, and current and emerging trends. 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. The Global Intelligent Drug Discovery Market report contains historical, current, and forecast estimation of the revenue generation and profits for each segment and sub-segment of the Intelligent Drug Discovery market in each key region of the world. Furthermore, the report also covers a present and future impact analysis of the pandemic on market growth.

The report additionally sheds light on the emerging growth opportunities in the business sphere that are anticipated to bolster the growth of the market. The market evaluations over the forecast years are based on a comprehensive analysis of the leading market segments, such as product type outlook, application continuum, regional overview, and competitive landscape of the global Intelligent Drug Discovery market. The growing adoption of cloud-based applications and the expiration of patented drugs will pave the way for new generic and OTC medicines, which will influence market demand. The advancement in deep learning and machine learning will allow pharmaceutical companies to reorganize molecule binding properties with high accuracy. The report on the global Intelligent Drug Discovery market presents the expected growth rate and market value the market is expected to achieve in the coming years.

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Key participants include IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.

The constant increase in the number of patients suffering from chronic diseases and pharmaceutical companies investing heavily in the development of various drugs are also influencing the market growth. Intelligent drug discovery process help in the design and development of novel products. Another market driving the demand for intelligent drug discovery will be the availability of various options to carry out the standard options such as customization capabilities and data mining on the AI platform. However, lack of data sets in drug discovery and scarcity of skilled professionals will hinder market demand.

Key Highlights From The Report

• In October 2020, Optibrium launched Cerella, an intelligence platform for active learning in drug discovery. Cerella's architecture combines cloud computing with on-premises deployment offering both scalability and data security.
• The software segment held a larger market share, and factors such as less cost and time, low rate of failure, a large number of software developers for the discovery of drugs, and strong demand from big pharmaceuticals are driving the segment's demand.

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The report aims to deliver a comprehensive understanding of the Intelligent Drug Discovery market growth and expansion in each key region of the world. It offers accurate estimations about the expected market size and growth over the projected timeline of 2020-2027.

Key Geographies Profiled in the Report:

• North America(the U.S., Mexico, and Canada)
• Asia Pacific(China, Japan, India, and Rest of Asia Pacific)
• Europe(the U.K., France, Germany, and Rest of Europe)
• Latin America(Brazil and Rest of Latin America)
• Middle East & Africa(GCC Countries and Rest of Middle East & Africa)

For the purpose of this report, Emergen Research has segmented into the global Intelligent Drug Discovery Market on the offering, technology, application, end-user, and region:

• Offering Outlook (Revenue, USD Billion; 2017-2027)
  • Software
  • Services

• Technology Outlook (Revenue, USD Billion; 2017-2027)
  • Machine Learning
  • Supervised Learning
  • Deep Learning
  • Reinforcement Learning
  • Unsupervised Learning
  • Other Technologies

• Application Outlook (Revenue, USD Billion; 2017-2027)
  • Neurodegenerative Diseases
  • Metabolic Diseases
  • Immuno-Oncology
  • Cardiovascular Disease
  • Others

• End-User Outlook (Revenue, USD Billion; 2017-2027)
  • Contract Research Organizations
  • Pharmaceutical & Biotechnology Companies
  • Research Centers and Academic & Government Institutes

Key Reasons to Buy This Report:

• The report presents a thorough examination of the Intelligent Drug Discovery market, elaborating on its core segments. The report conducts historical and future assessments of the market dynamics and offers precise data in a well-organized order.
• The report evaluates the most prominent market growth potentials, dynamic market trends, driving factors, restraints, investment opportunities, and threats.
• The report is inclusive of an in-depth study of the industry variables, manufacturers' value chain, sales volume, market share, competitive landscape, and effective business tactics.
• The report further identifies the key regions and segments dominating the market. These regions are foreseen to register fast-paced growth over the forecast duration.

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Table of ContentChapter 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 TechniqueChapter 2. Executive Summary 2.1. Summary Snapshot, 2019-2027Chapter 3. Key InsightsChapter 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

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Key Objectives of the Global Intelligent Drug Discovery Market Report:

• An all-inclusive analysis and forecast estimation of the market have been included in this report.
• The report offers valuable insights into the major drivers, limitations, opportunities, and challenges faced by the global Intelligent Drug Discovery market and its leading players.
• The report sheds light on the prominent market contenders, as well as their business strategies and long-term expansion plans.

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