Global Artificial Intelligence (AI) In Drug Discovery Market to Grow at a CAGR of 37.67% by 2027, Estimates DelveInsight | Key Companies – IBM, NuMedii, Deep Genomics, NVIDIA., Atomwise, Insilico

March 13 22:14 2023
Global Artificial Intelligence (AI) In Drug Discovery Market to Grow at a CAGR of 37.67% by 2027, Estimates DelveInsight | Key Companies - IBM, NuMedii, Deep Genomics, NVIDIA., Atomwise, Insilico
Las Vega (Nevada), United States – The Artificial Intelligence (AI) In Drug Discovery Market is expected to grow in the coming years owing to the factors such as the rising prevalence of various diseases across the globe, which have necessitated the need for faster development of highly safe and efficacious drugs. Moreover, the realization of the advantages of AI in the pharmaceutical sector is further motivating pharma companies and institutes to invest further in drug research and development.

Additionally, the extensive partnerships and collaborations between public and private entities and both national and international levels are further expected to boost AI in the drug discovery market. The leading companies in Artificial Intelligence (AI) In Drug Discovery Market include IBM Corporation, NuMedii Inc, Deep Genomics, NVIDIA Corporation., Atomwise Inc., Cloud Pharmaceuticals, Inc, Alphabet Inc (Deep Mind), Insilico Medicine, BenevolentAI, Exscientia, Cyclica., Valo Health Owkin, Verge Genomics, BioSymetics., and BeiGene others.

DelveInsight’s “Artificial Intelligence (AI) In Drug Discovery Market” research report provides the current and forecasted Artificial Intelligence (AI) In Drug Discovery market size, share, and trends analysis for the next five years, upcoming innovations in the segment, and major market drivers & barriers. The report also covers the key competitors and emerging products in the domain.

Artificial Intelligence (AI) In Drug Discovery: Overview

Artificial intelligence (AI) in drug discovery utilizes advanced computing techniques such as machine learning, artificial neural networks, and natural language processing to process large amounts of data to help with the target, lead identification, and other required inputs for drug discovery and development. AI in the drug discovery process helps in faster identification of targets, lead compounds, and subsequent development of drugs, thereby presenting a positive growth outlook for AI in the drug discovery market.

Artificial Intelligence (AI) In Drug Discovery Market – Key Takeaways 

  • The high capital investment in the drug discovery and development process is one of the key aspects influencing the growth of AI in the drug discovery market. 
  • Some of the key factors, such as the knowledge gaps between biologists, chemists, and AI scientists, as well as the limitations of traditional machine learning tools in handling the volume of data generated in the pharmaceutical field, may hamper AI in the drug discovery market growth.  
  • In the type segment of AI in the drug discovery market, the de novo drug design category is estimated to account for a prominent revenue share in the market during the forecast period (2022-2027) owing to the advantages associated with AI in de novo drug design and optimization. 
  • As per the assessment, amongst all the regions, North America is estimated to amass the largest revenue share in the global AI in drug discovery market in the coming years owing to the presence of a large patient population associated with various diseases, including cancers, neurological disorders which in turn drive the demand for various drugs with minimal side effects. 

Artificial Intelligence (AI) In Drug Discovery Market – Key Developments and Breakthroughs

Over the years, Artificial Intelligence (AI) In the Drug Discovery market has evolved significantly owing to the active participation of global companies and technological advancements in the domain. Some of the major advancements in recent years in Artificial Intelligence (AI) In Drug Discovery market are –

  • In January 2022, Sanofi entered into a research collaboration with Exscientia, which uses artificial intelligence to discover new drug candidates that could be worth up to USD 5.2 billion for the latter company.
  • In December 2021, Insilico Medicine announced the start of the world’s first Phase I clinical trial of a drug developed from scratch using AI. Its end-to-end platform applies AI to biology for target discovery and to chemistry for drug design. The AI-designed drug is a small-molecule inhibitor and is developed for the treatment of idiopathic pulmonary fibrosis.
  • In November 2021, Alphabet Inc. announced the launch of a new company-Isomorphic Laboratories, which will leverage AI for drug discovery.

As per DelveInsight, the ongoing clinical & commercial development activities and research in the domain will contribute immensely to the Artificial Intelligence (AI) In Drug Discovery Market growth in the coming years.

Key Companies in the Artificial Intelligence (AI) In Drug Discovery Market

Some of the leading companies in the Artificial Intelligence (AI) In Drug Discovery market include IBM Corporation, NuMedii Inc, Deep Genomics, NVIDIA Corporation., Atomwise Inc., Cloud Pharmaceuticals, Inc, Alphabet Inc (Deep Mind), Insilico Medicine, BenevolentAI, Exscientia, Cyclica., Valo Health Owkin, Verge Genomics, BioSymetics., and BeiGene others.

As per DelveInsight, due to the high growth rate and positive return, several new players are expected to enter the Artificial Intelligence (AI) In Drug Discovery market in the coming years. The entry of new players and the launch of emerging products will immensely drive market growth.

Learn How New Players’ Entries Will Transform the Artificial Intelligence (AI) In Drug Discovery Market Dynamics in the Coming Years @ 

https://www.delveinsight.com/sample-request/artificial-intelligence-ai-in-drug-discovery-market

Scope of the Artificial Intelligence (AI) In Drug Discovery Market Report:

  • Study Period – 2019-2027
  • Geography Covered – Global (North America, Europe, Asia-Pacific, and the Rest of the World)
  • Artificial Intelligence (AI) In Drug Discovery Market By Type – De Novo Drug Design and Optimization, Preclinical Testing, and Others
  • Artificial Intelligence (AI) In Drug Discovery Market By Application – Oncology, Cardiovascular, Infection Diseases, and Others
  • Artificial Intelligence (AI) In Drug Discovery Market By End User – Pharmaceutical & Biotechnology Companies, Contract Research Organizations, and Others
  • Porter’s Five Forces Analysis, Product Profiles, Case Studies, KOL’s Views, Analyst’s View

DelveInsights’ Remark: The “Artificial Intelligence (AI) In Drug Discovery Market” is anticipated to grow at a significant CAGR of 37.67% till 2027. North America is expected to dominate the Global Artificial Intelligence (AI) In Drug Discovery Market.

Learn More About Key Trends and Developments in the Artificial Intelligence (AI) In Drug Discovery Market @

https://www.delveinsight.com/sample-request/artificial-intelligence-ai-in-drug-discovery-market

Table of Content

1. Report Introduction

2. Executive summary

3. Regulatory and Patent Analysis

4. Artificial Intelligence (AI) In Drug Discovery Market Key factors analysis

5. Artificial Intelligence (AI) In Drug Discovery Porter’s Five Forces Analysis

6. COVID-19 Impact Analysis on Artificial Intelligence (AI) In Drug Discovery Market

7. Artificial Intelligence (AI) In Drug Discovery Market Layout

8. Artificial Intelligence (AI) In Drug Discovery Global Company Share Analysis

9. Artificial Intelligence (AI) In Drug Discovery Product Profiles and Key Companies

10. Project Approach

11. KOL Views

12. DelveInsight Capabilities

13. Disclaimer

14. About DelveInsight

*The Table of Contents (TOC) is not exhaustive. Refer to the sample report for the complete TOC. The final TOC may vary as per the customization and requirements.

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About DelveInsight

DelveInsight is a leading Business Consultant and Market Research Firm focused exclusively on life sciences. It supports pharma companies by providing comprehensive end-to-end solutions to improve their performance.

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