Research report on Smart Drug Discovery Market size, share, growth, analysis, trends and forecast by 2027

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The growing demand for profitable drugs and the adoption of cloud-based applications will drive the demand for smart drug discovery.

CANADA, BC, VANCOUVER, Dec. 28, 2021 /EINPresswire.com/ – Global smart drug discovery market expected to reach $ 3,711.8 million by 2027, according to current Emergen analysis Research. The smart drug technology market is growing, and several pharmaceutical companies are focusing on the development of drugs using artificial intelligence. Pharmaceutical companies are taking advantage of technology to discover drugs for more complex diseases. The latest report offers an in-depth analysis of the current market scenario, its major product types, end-user landscape, application outlook, major regions, competitive terrain, and detailed profiles of major companies. At the regional level, the performance of the industry as well as the major vendors operating in the geography also inform stakeholders, business owners and field marketers.

The growing adoption of cloud-based applications and the expiration of patented drugs will pave the way for new generic and OTC drugs, which will influence market demand. Advances in deep learning and machine learning will allow pharmaceutical companies to rearrange the binding properties of molecules with great precision. The different facets of the business depending on parameters such as new launches, acquisitions and mergers and new entrants are widely discussed during the study. The report emphasizes current market demands and trends in the global intelligent drug discovery, more importantly, across key market regions. The report sheds light on mergers and acquisitions, collaborations, joint ventures, brand promotions and product launches, agreements and partnerships, and agreements with companies and governments.

Highlights of the report

In October 2020, Optibrium launched Cerella, an intelligence platform for active learning in drug discovery. Cerella’s architecture combines cloud computing and on-premise deployment providing both scalability and data security.
Software segment held larger market share, and factors such as less cost and time, low failure rate, large number of drug discovery software developers, and high demand for large products pharmaceuticals are driving demand in the segment.
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Major 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 smart drug discovery will be the availability of various options to run standard options such as personalization capabilities and data mining on the AI ​​platform. However, the lack of drug discovery datasets and the shortage of skilled professionals will hamper market demand. The constant increase in the number of patients suffering from chronic diseases and the pharmaceutical companies investing heavily in the development of various drugs are also influencing the growth of the market. The intelligent drug discovery process assists in the design and development of new products.

On the basis of types, the Intelligent Drug Discovery market has been further classified on the basis of geography, application, and consumption capacity. Based on the application of the product, the industry is divided taking into account those in demand and is the result of technological advancements. Additionally, our analysts have included SWOT analysis and Porter’s five forces analysis in the report to provide a better understanding of the competitive spectrum of this ever-changing industry. The study performs a historic assessment of smart drug discovery from 2017 to 2018, focusing on market trends, revenue share, growth rate, production capacity, price structure and others. vital aspects during this period.

To learn more about the Global Intelligent Drug Discovery Market report, visit @ https://www.emergenresearch.com/industry-report/intelligent-drug-discovery-market

The global Intelligent Drug Discovery market report assesses the latest economic scenario in terms of value and volume. It highlights the main growth drivers, constraints, production capacity, supply and demand ratio, import / export status, growth rate and other critical aspects. In addition, the report also performs a SWOT analysis, Porter’s Five Forces Analysis, Speculation Feasibility Investigation, and Business Return Investigation.

For the purpose of this report, Emergen Research has segmented into the global smart drug discovery market in terms of offer, technology, application, end user, and region:

Supply Outlook (Revenue, USD Billion; 2017-2027)
Software
Services
Technology Outlook (Revenue, USD Billion; 2017-2027)
Machine learning
Supervised teaching
Deep learning
Reinforcement learning
Unsupervised learning
Other technologies
Application Outlook (Revenue, USD Billion; 2017-2027)
Neurodegenerative diseases
Metabolic diseases
Immuno-Oncology
Heart disease
Others
End User Outlook (Revenue, USD Billion; 2017-2027)
Contract research organizations
Pharmaceutical and biotechnology companies
University and government research centers and institutes
The report further provides information on the value chain, emerging market sectors and technological advancements in the industry for the benefit of the readers and companies wishing to invest in this industry. The global smart drug discovery market consists of various segments including product type outlook, application spectrum, end-user overview, major regions, and competitive analysis.

In market segmentation by geographic regions, the report analyzed the following regions:

North America (United States, Canada and Mexico)

Europe (Germany, France, United Kingdom, Russia and Italy)

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

South America (Brazil, Argentina, Colombia etc.)

Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa)

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Contents
Chapter 1. Methodology and sources
1.1. Market definition
1.2. Scope of research
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 overview, 2019-2027
Chapter 3. Key information
Chapter 4. Smart Drug Discovery Market Segmentation and Impact Analysis
4.1. Materials Segmentation Analysis of Smart Drug Discovery Market
4.2. Industrial outlook
4.2.1. Market indicators analysis
4.2.2. Market Driver Analysis
4.2.2.1. Need to control drug discovery and development costs and reduce time
4.2.2.2. Growing number of cross-sector collaborations and partnerships
4.2.3. Analysis of market constraints
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 assessment

Continue …

The research provides answers to the following key questions:

What is the expected growth rate of the smart drug discovery market for the forecast period 2020-2027? What is the likely size of the market over the estimated time frame?
What are the main driving forces shaping the future of the industry in different countries?
Who are the major market players dominating the Smart Drug Discovery market? How did they manage to maintain a competitive advantage over their competitors?
What are the key trends and opportunities responsible for the advancement of the Intelligent Drug Discovery market during the estimated period?
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