The latest market research report from Emergen Research, titled Global Intelligent Drug Discovery Market, provides estimated market size and shares, latest industry trends, global market growth rates, key drivers and opportunities, constraints, product segmentation, and major market players. Cost structure, market size, competitive landscape, product portfolio and specifications, and company profiles.
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.
New generic and over-the-counter medications will be made possible by the increasing use of cloud-based apps and the expiration of proprietary treatments, which will affect market demand. Pharmaceutical businesses will be able to accurately reorganise molecular binding characteristics thanks to advances in deep learning and machine learning.
The availability of many alternatives to carry out the standard options, such as customisation capabilities and data mining on the AI platform, will be another market boosting the demand for intelligent drug discovery. The market need will be hampered, nonetheless, by a paucity of data sets for drug discovery and a shortage of qualified personnel.
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The latest study provides an insightful analysis of the broad competitive landscape of the global Intelligent Drug Discovery market, emphasizing the key market rivals and their company profiles. A wide array of strategic initiatives, such as new business deals, mergers & acquisitions, collaborations, joint ventures, technological upgradation, and recent product launches, undertaken by these companies has been discussed in the report. The report analyzes various elements of the market’s competitive scenario, such as the regulatory standards and policies implemented across the industry over recent years. Our team of experts has leveraged several powerful analytical tools, such as Porter’s Five Forces analysis and SWOT analysis, to deliver a comprehensive overview of the global Intelligent Drug Discovery market and pinpoint the fundamental growth trends.
The leading market contenders listed in the report are:
IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, Envisagenics
Global Intelligent Drug Discovery Market Highlights:
- Regional demand estimation and forecast
- Product Mix Matrix
- R&D Analysis
- Cost-Benefit Analysis
- Pre-commodity pricing volatility
- Supply chain optimization analysis
- Technological updates analysis
- Raw Material Sourcing Strategy
- Competitive Analysis
- Mergers & Acquisitions
- Location Quotients Analysis
- Carbon Footprint Analysis
- Patent Analysis
- Vendor Management
Key Parameters Analyzed in This Section:
- Company Profiles
- Gross Revenue
- Profit margins
- Product sales trends
- Product pricing
- Industry Analysis
- Sales & distribution channels
- North America
- Latin America
- Middle East & Africa
- Asia Pacific
Key Points Covered in This Section:
- Regional contribution
- Estimated revenue generation
- Vital data and information about the consumption rate in all the leading regional segments
- An expected rise in market share
- Forecast growth in the overall consumption rate
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Some 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.
- The growing incidence of oncology and the potential to affect several facets of cancer therapy will affect the demand for the market. The convergence of cancer therapy and AI has resulted in multiple solutions that address complex challenges. Intelligent platforms can accelerate the drug discovery process.
- AI in medical imaging is witnessing lucrative growth in the Asia Pacific region due to a rise in R&D activities and development in the biotechnology and pharmaceutical sectors. Moreover, the presence of a significant patient pool will fuel the demand for better healthcare services, which will drive the demand for the market.
The report bifurcates the Intelligent Drug Discovery market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
Segments Covered in this report are:
- Offering Outlook (Revenue, USD Billion; 2017-2027)
- Technology Outlook (Revenue, USD Billion; 2017-2027)
- Machine Learning
- Supervised Learning
- Deep Learning
- Reinforcement Learning
- Unsupervised Learning
- Application Outlook (Revenue, USD Billion; 2017-2027)
- Neurodegenerative Diseases
- Metabolic Diseases
- Cardiovascular Disease
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Key reasons to buy the Global Intelligent Drug Discovery Market report:
- The latest report comprehensively studies the global Intelligent Drug Discovery market size and provides useful inference on numerous aspects of the market, such as the current business trends, market share, product offerings, and product share.
- The report offers an insightful analysis of the regional outlook of the market.
- It offers a detailed account of the end-use applications of the products services offered by this industry.
- The report holistically covers the latest developments taking place in this industry. Therefore, it lists the most effective business strategies implemented by the market rivals for ideal business expansion.
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