The latest Intelligent Drug Discovery market research report comprises an extensive analysis of the micro- and macro-economic indicators that influence the global market development during the forecast period of 2020-2027. Most importantly, the document empowers business owners to seek information about potential consumers and where they can find them. With an exclusive coverage of the top vendors, the study enables business owners to know more about the local market and locate potential consumers.
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.
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The global Intelligent Drug Discovery market is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector. The global Intelligent Drug Discovery market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers & acquisitions, new product launches, and joint ventures.
Some of the key participants in this industry include:
IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.
The competitive analysis also includes regional analysis of major geographical regions. The report covers regions such as North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. The report also offers a country wise analysis to impart better understanding of the global Intelligent Drug Discovery market with regards to market share, market size, production and consumption ratio, product launches and R&D activities, investment opportunities, and presence of key players in the region.
The report further segments the global Intelligent Drug Discovery market on the basis of product types and applications and provides insights into key factors influencing the revenue growth of the segments.
Intelligent Drug Discovery segmentation based on product types:
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
- Cardiovascular Disease
Global Intelligent Drug Discovery Market Report – Table of Contents:
- Chapter 1 includes the global Intelligent Drug Discovery market introduction, followed by the market scope, product offerings, growth opportunities, market risks, driving forces, and others.
- Chapter 2 broadly categorizes the Intelligent Drug Discovery market on the basis of geography, and determines the sales, revenue, and market shares of each region over the estimated period.
- Chapter 3 elaborates on the competitive outlook of the Intelligent Drug Discovery market, focusing on the major manufacturers and vendor landscape.
- Chapter 4 exhaustively studies the key manufacturers of the Intelligent Drug Discovery industry, along with their anticipated sales and revenue shares.
- Chapters 5 includes market segmentation based on product type, application range, and market players.
The report focuses on current and future market growth, technological advancements, volume, raw materials, and profiles of the key companies involved in the market. The report provides valuable insights to the stakeholders, investors, product managers, marketing executives, and other industry professionals.
Regional segmentation comprises of a current and forecast estimation of the market in the key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.