Global Intelligent Drug Discovery Market Forecast to 2027

The Global Intelligent Drug Discovery Market research report is a comprehensive document that outlines the most recent advancements and developments in the Intelligent Drug Discovery industry, with 2018 as the base year and 2020-2027 as the forecast period. The report provides useful insights into market size, market share, sales channel and distribution network, market segmentation, demands and trends, and growth prospects. The report also examines market growth on a global and regional scale. The report investigates the COVID-19 pandemic's impact on the Intelligent Drug Discovery Market and its key segments.

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 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.

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.

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Competitive Landscape:

Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment covers a comprehensive overview of the company profiles along with product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share. The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

Key Companies Profiled in the Report:

IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, Envisagenics

Market Dynamics:

The report offers insightful information about the market dynamics of the Intelligent Drug Discovery market. It offers SWOT analysis, PESTEL analysis, and Porter’s Five Forces analysis to present a better understanding of the Intelligent Drug Discovery market, competitive landscape, factors affecting it, and to predict the growth of the industry. It also offers the impact of various market factors along with the effects of the regulatory framework on the growth of the Intelligent Drug Discovery market.

Radical Highlights of the Intelligent Drug Discovery Market Report:

• Comprehensive overview of the Intelligent Drug Discovery market along with analysis of the changing dynamics of the market
• Growth Assessment of various market segments throughout the forecast period
• Regional and global analysis of the market players, including their market share and global position
• Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
• Impact of the technological developments and RD advancements on the Intelligent Drug Discovery market
• Information about profit-making strategies and developmental strategies of major companies and manufacturers
• Insightful information for the new entrants willing to enter the market
• Details and insights about business expansion strategies, product launches, and other collaborations
• The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis

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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 RD 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.

Intelligent Drug Discovery Market Segmentation:

Market Overview:

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)
• Software
• Services

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

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

Regional Segmentation;

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)

In conclusion, the Intelligent Drug Discovery Market report is an exhaustive database that will help readers formulate lucrative strategies. The Intelligent Drug Discovery Market report studies the latest economic scenario with value, drivers, constraints, growth opportunities, challenges, demand and supply ratio, production capacity, import/export status, growth rate, and others. Additionally, the report also undertakes SWOT Analysis and Porter’s Five Forces Analysis to study the leading companies.

How will this Report Benefit you?

A 250-page report from Emergen Research includes 194 tables and 189 charts and graphics. Anyone in need of commercial, in-depth assessments for the global Intelligent Drug Discovery market, as well as comprehensive market segment analysis, can benefit from our new study. You can assess the whole regional and global market for Intelligent Drug Discovery with the aid of our recent study. To increase market share, obtain financial analysis of the whole market and its various segments. We think there are significant prospects in this industry for rapidly expanding energy storage technology. Look at how you may utilise the current and potential revenue-generating prospects in this sector. The research will also assist you in making better strategic decisions, enabling you to build growth strategies, strengthen competitor analysis, and increase business productivity.

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