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 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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Key Highlights from the Report:
- The software sub-segment occupied the largest share of the industry, majorly driven by the cost and time efficiency, low failure rate, presence of numerous software developers for drug discovery, and bolstering demand from pharmaceutical giants across the world.
- Machine learning enables optimization of therapies through the integration of clinical and biomedical data with computational models. Machine learning is extensively used for building software solutions for combinational therapies and drug testing. It offers a lucrative potential for the development of personalized medicine and comprehensive drug discovery.
- The increasing occurrences of oncology and the potential to affect several aspects of cancer therapy are forecast to influence the market demand. The amalgamation of artificial intelligence and cancer therapy has influenced the development of multiple solutions that address complicated challenges. Intelligent solutions can accelerate the drug discovery process significantly.
- Incorporation of artificial intelligence in medical imaging is exhibiting lucrative growth potential in the Asia Pacific region due to a sharp escalation in the R&D activities and rapid advancement in the biopharmaceutical sector. Additionally, the escalating patient pool suffering from complex chronic illnesses is fueling the need for improved healthcare infrastructure, thereby driving the market growth in the region.
- Major companies operating in the industry include Exscientia, IBM Corporation, Google, Envisagenics, Microsoft Corporation, Cloud Pharmaceuticals, Inc., Insilico Medicine, Bioage, Atomwise, Inc., and NVIDIA Corporation, among others.
- Optibrium, a U.K.-based software provider for small molecule design and optimization, launched Cerella, an intelligent platform for active learning in drug discovery, in October 2020. Cerella’s architecture is an amalgamation of cloud computing and on-premise deployment that offers enhanced data security and scalability.
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For the purpose of this report, Emergen Research has segmented the Global Intelligent Drug Discovery Market on the basis of offering, technology, application, end-user, and region:
Offering Outlook (Revenue, USD Billion; 2017-2027)
- Services
- Software
Technology Outlook (Revenue, USD Billion; 2017-2027)
- Machine Learning
- Unsupervised Learning
- Supervised Learning
- Reinforcement Learning
- Deep Learning
- Other Technologies
Application Outlook (Revenue, USD Billion; 2017-2027)
- Immuno-Oncology
- Neurodegenerative Diseases
- Cardiovascular Disease
- Metabolic Diseases
- Others
End-User Outlook (Revenue, USD Billion; 2017-2027)
- Contract Research Organizations
- Research Centers and Academic & Government Institutes
- Pharmaceutical & Biotechnology Companies
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Regional Outlook (Revenue, USD Billion; 2017-2027)
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- BENELUX
- Rest of Europe
- Asia Pacific
- China
- Japan
- South Korea
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- Saudi Arabia
- U.A.E.
- Rest of MEA
Reasons to buy the report:
- This study segments the Intelligent Drug Discovery market and derives the precise valuation of the overall, as well as segment-based, market across different industry verticals, geographies, and products.
- The report will help participants understand the trajectory of the progress of the market and provide information on key drivers, restraints, challenges, threats, and opportunities for the growth of the Intelligent Drug Discovery sectors.
- This Intelligent Drug Discovery report would allow readers to be well-versed with the existing competition and gain more insights to improve their standing in the worldwide business. The competitive landscape considers the dominant competitors, along with product launches and technological advancements, strategic expansions, mergers and acquisitions, and procurement strategies implemented by key players in the Intelligent Drug Discovery market.
Key features of the report:
- To study the key aspects impacting the Intelligent Drug Discovery market size.
- To identify growth prospects in the Intelligent Drug Discovery market.
- To analyze the Intelligent Drug Discovery market segments and deduce the dominant trends observed in the industry.
- To examine the Intelligent Drug Discovery market by investigating the available products, market share, and value proposition of the products.
- To analyze the industry by assessing the scope and application of the Intelligent Drug Discovery market and highlight the growth of each application.
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, 2020-2030
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
4.2.3. Market restraints analysis
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
Continued…
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