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The growing demand for cost-effective medicines and the adoption of cloud-based applications will drive the demand for intelligent drug discovery.

CANADA, BC, VANCOUVER, December 28, 2021 /EINPresswire.com/ -- 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. The latest report offers a profound analysis of the present market scenario, its key product types, end-user landscape, application outlook, leading regions, competitive terrain, and the leading companies’ detailed profiles. Region-wise, the performance of the industry along with the prominent vendors operating in the geography also illuminates stakeholders, business owners, and field marketing, executives.

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 different facets of the business based on parameters including new launches, acquisition and mergers and new entrants are discussed extensively during the study. The report emphasizes the demands and ongoing trends of the global Intelligent Drug Discovery market, more importantly, across the major regions of the market. The report sheds light on the mergers and acquisitions, collaborations, joint ventures, brand promotions and product launches, agreements and partnerships, and corporate and government deals.

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

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. 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.

Based on the types, the Intelligent Drug Discovery market has been further classified based on geography, application and consumption capability. On the basis of the product application, the industry is bifurcated taking into consideration those in demand and are an outcome of technology advancement. Additionally, our analysts have included SWOT analysis and Porter’s Five Forces analysis in the report to offer a better understanding of the competitive spectrum of this ever-evolving industry. The study performs a historical assessment of the Intelligent Drug Discovery from 2017 to 2018, focusing on the market trends, revenue share, growth rate, production capacity, pricing structure, and other vital aspects during that period.

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The global Intelligent Drug Discovery market report evaluates the latest economic scenario in terms of value and volume. It highlights the key growth drivers, restraints, production capacity, demand & supply ratio, import/export status, growth rate, and other critical aspects. Additionally, the report also performs SWOT analysis, Porter’s Five Forces analysis, speculation attainability investigation, and venture return investigation.

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
The report further provides information regarding the value chain, emerging market sectors, and the technological advancements in the industry to benefit readers and businesses looking to invest in this industry. The global Intelligent Drug Discovery market consists of various segments, including product type outlook, application spectrum, end-user overview, leading regions, and the competitive analysis.

In market segmentation by geographical regions, the report has analysed the following regions-

North America (USA, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Columbia etc.)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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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

Continue...

The research provides answers to the following key questions:

What is the expected growth rate of the Intelligent Drug Discovery market for the forecast period 2020 - 2027? What is the market size likely to be during the estimated period?
What are the key driving forces shaping the future of the industry across different countries?
Who are the prominent market players dominating the Intelligent Drug Discovery market? How have they managed to maintain a competitive edge over their competitors?
What are the major trends and opportunities responsible for the progress of the Intelligent Drug Discovery market during the estimated period?
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