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. These facts and figures help readers evaluate the global market growth, production, and consumption rates, volatility in demand and product prices, and upcoming market trends over the projected period. 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 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 is formulated with the updated and latest information of the global Intelligent Drug Discovery market further validated and verified by the industry experts and professionals. 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.
The pandemic has led to some devastating effects on the global economy, besides disrupting the functioning of the Intelligent Drug Discovery industry. It offers an exhaustive analysis of the present and future effects of the pandemic on this business sphere. Moreover, the adverse effects of the coronavirus pandemic on the global Intelligent Drug Discovery market, as well as its fundamental segments, have also been elucidated in this report. 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.
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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 latest research report by Emergen research, named ‘Global Intelligent Drug Discovery Market – Forecast to 2027’, entails a comprehensive review of the global Intelligent Drug Discovery market’s present and future trends. The report additionally sheds light on the emerging growth opportunities in the business sphere that are anticipated to bolster the growth of the market.
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.
- Machine learning help in optimizing therapy by integrating clinical and biomedical data with computational models. It is used to build software for combinational therapies and testing drugs. Machine learning offers a lucrative potential for drug discovery and personalized medicine.
Key participants include IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.
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Additionally, the report provides an extensive analysis of the Intelligent Drug Discovery market, including key data, such as factors influencing the growth of the market, buyers and vendors, production and consumption, and revenue. Furthermore, the report provides a comprehensive overview of the Intelligent Drug Discovery market along with product portfolio and market performance. The report offers key insights into market share, supply chain analysis, demand and supply ratio, import/export details, and product and consumption patterns. To gain a better understanding, the report is further segmented into sections such as product types offered by the market, application spectrum, companies, and key geographical regions where the market has established its presence.
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)
- 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 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.
The various regions analyzed in the report include:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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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
Continue..
Report Highlights:
- The report scrutinizes the salient factors influencing the growth of the market in the near future.
- Besides offering a vivid depiction of the global Intelligent Drug Discovery business sphere and its fundamental operations, the latest report provides the industrial chain analysis and list down the current and future market trends and growth opportunities.
- The report includes information on the present and historical market scenarios, which helps forecast the market conditions over the next eight years (2020-2027).
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