openPR Logo
Press release

Artificial Intelligence (AI) in Drug Discovery Market is Grow at a CAGR of 53.3% and is Expected to Reach the Value of USD 24,618.25 million by 2029

11-28-2022 06:43 AM CET | Health & Medicine

Press release from: Data Bridge Market Research

/ PR Agency: DBMR
Artificial Intelligence (AI) in Drug Discovery Market

Artificial Intelligence (AI) in Drug Discovery Market

A Qualitative Research Study accomplished by Data Bridge Market research's database of 350 pages, titled as "Artificial Intelligence (AI) in Drug Discovery Market " with 100+ market data Tables, Pie Charts, Graphs & Figures spread through Pages and easy to understand detailed analysis.

Artificial Intelligence (AI) is expected to be a lucrative technology in the healthcare industry. The implementation of AI reduces R&D gap in the drug manufacturing process and helps in targeted manufacturing of drug. Hence, biopharmaceutical companies are turning to AI to enhance their market share. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure.

The adoption of AI solutions in the clinical trial process eliminates possible obstacles, reduces clinical trial cycle time and increases the productivity and accuracy of the clinical trial process. Technological advancements in AI for drug discovery and reduction in total time involved in drug discovery process are other factors driving the market growth in the forecast period. However, low quality and inconsistent available data will obstruct the market growth. Also, high cost associated with technology and technical limitations will restrain the market growth.

Data Bridge Market Research analyzes that the global Artificial Intelligence (AI) in drug discovery market is expected to reach the value of USD 24,618.25 million by 2029, at a CAGR of 53.3% during the forecast period. Software accounts for the largest technology segment in the market due to rapid developments in technological advancements to commercialize the use of AI in drug discovery market. This market report also covers pricing analysis, patent analysis and technological advancements in depth.

Download the PDF Sample Report (Including FULL TOC, Graphs, and Tables) of this report @



Key Market Competitors Covered in the report


NVIDIA Corporation

IBM Corporation

Atomwise, Inc.


Cloud Pharmaceuticals, Inc.

Insilico Medicine

BenevolentAI   Ltd


Cyclica Inc.


NuMedii, Inc.


twoXAR, Incorporated


XtalPi Inc.


Global Artificial Intelligence (AI) in Drug Discovery Market Definition

AI has caught the attention and minds of medical technology practitioners in the past few years, as several companies and major research laboratories have worked to perfect these technologies for clinical use. The first commercialized demonstrations of how AI (also known as Deep Learning (DL), Machine Learning (ML), or Artificial Neural Networks (ANNs)) could assist clinicians are now available. These systems could lead to a paradigm shift in clinician workflow and increase productivity while simultaneously enhancing treatment and patient throughput. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure. The adoption of AI solutions in the clinical trial process eliminates possible obstacles, reduces clinical trial cycle time and increases the productivity and accuracy of the clinical trial process. Therefore, the adoption of these advanced AI solutions in drug discovery processes is gaining popularity amongst life science industry stakeholders. In the pharmaceutical sector, it aids in the discovery of novel compounds, therapeutic target identification and the development of customized medications. AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases. 

Global Artificial Intelligence (AI) in Drug Discovery Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail below:    


Rise in incidence of chronic diseases propels need for AI in drug discovery

The incidence of chronic diseases is increasing at a rapid pace across the globe. According to the Centers for Disease Control and Prevention (CDC), six in 10 adults in the U.S. have a chronic disease. Furthermore, the CDC also highlights that chronic diseases such as heart disease and diabetes are the leading causes of death in the U.S. Such statistics shed light on the growing prevalence of chronic diseases and the need to bring down the fatality rate caused due to these diseases.

AI platforms used for drug discovery can prove to be a feasible option for deriving insights into the discovery of drugs to treat and minimize the severity of various chronic diseases. Thus, these factors are expected to act as a driver for the market growth during the forecast period.

Strategic collaborations, partnerships and products launch

AI has the potential to transform drug discovery by rapidly accelerating the R&D timeline, making drug development cheaper and faster and improving the probability of approval. AI can also increase the effectiveness of drug repurposing research.

An increase in cross-industry alliances and collaborations drives the market. Rise in relevance of AI in drug discovery & development and a surge in funding for R&D activities, including AI technology in the field of drug research, are projected to propel the global market growth. Hence, increase in cross-industry collaborations and partnerships is driving the market.


High cost associated with technology and technical limitations

The current healthcare sector is facing several complex challenges, such as the increased cost of drugs and therapies and society needs specific significant changes in this area. The entire success of AI depends on the availability of a substantial amount of data because these data are used for the subsequent training provided to the system. Access to data from various database providers can incur extra costs for a company. Clinical trials are directed towards establishing the safety and efficacy of a drug product in humans for a particular disease condition and require six to seven years along with a substantial financial investment. However, only one out of ten molecules entering these trials gain successful clearance, which is a massive loss for the industry. These failures can result from inappropriate patient selection, shortage of technical requirements and poor infrastructure. Thus, increasing costs with the technology is acting as a restraint for the market growth.

View Detailed Report@

Post-COVID-19 Impact on Global Artificial Intelligence (AI) in Drug Discovery Market

The COVID-19 outbreak had a beneficial impact on the expansion of AI in drug discovery industry due to its widespread use by various organizations for the identification as well as screening of existing medicines used in the treatment of COVID-19. AI is useful in detecting active chemicals for the prevention of SARS-CoV, HIV, SARS-CoV-2, influenza virus and others. During the pandemic, economies all over the world relied on AI-based medication discovery rather than traditional vaccine detection processes, which take years to create and are equally expensive, contributing to the growth of the market.

Manufacturers are making various strategic decisions to bounce back post-COVID-19. The players are conducting multiple R&D activities to improve the technology involved in the Wireless microphone. With this, the companies will bring advanced and accurate AI software to the market.

Recent Developments

In March 2022, NVIDIA Corporation launched Clara Holoscan MGX to develop and deploy real-time AI applications. Clara Holoscan MGX expands the Clara Holoscan platform to provide an all-in-one, medical-grade reference architecture, as well as long-term software support, to accelerate innovation in the medical device industry. This will help the company for better AI performance in health sector for surgery, diagnostics and drug discovery.

In May 2022, Benevolent AI, a leading clinical-stage AI-enabled drug discovery company, announced that AstraZeneca has selected an additional novel target for Idiopathic Pulmonary Fibrosis (IPF) for its drug development portfolio, resulting in a milestone payment to Benevolent AI.  This is the third novel target from the collaboration that has been identified using the Benevolent Platform across two disease areas, IPF and chronic kidney disease and subsequently validated and selected for portfolio entry by AstraZeneca. This builds upon the recent extension of the collaboration with AstraZeneca to include two new disease areas, systemic lupus erythematosus and heart failure, signed in January 2022. This has helped the company to make its collaboration stronger.

Global Artificial Intelligence (AI) In Drug Discovery Market Scope

Global Artificial Intelligence (AI) in drug discovery market is segmented into application, technology, drug type, offering, indication and end use. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.


Novel Drug Candidates

Drug Optimization and Repurposing Preclinical Testing and Approval

 Drug Monitoring

 Finding New Diseases Associated Targets and Pathways

 Understanding Disease Mechanisms

 Aggregating and Synthesizing Information

 Formation & Qualification of Hypotheses

 De Novo Drug Design

 Finding Drug Targets of an Old Drug


Based on application, the market is segmented into novel drug candidates, drug optimization and repurposing preclinical testing and approval, drug monitoring, finding new diseases associated targets and pathways, understanding disease mechanisms, aggregating and synthesizing information, formation & qualification of hypotheses, de novo drug design, finding drug targets of an old drug and others.


Machine Learning (ML)

Deep Learning (DL)

Natural Language Processing (NLP)


Based on technology, the market is segmented into Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and others.


Small Molecule

Large Molecule

Based on drug type, the market is segmented into small molecule and large molecule.




Based on offering, the market is segmented into software and services.



Neurodegenerative Diseases

Cardiovascular Diseases

Metabolic Diseases


Based on indication, the market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases and others.


Pharmaceutical & Biotechnology Companies

Contract Research Organizations (CROs)

Research Centres And Academic Institutes


The complete Report is available (Including the full TOC, Tables, and Figures, Graphs as well as Chart) @

Global Artificial Intelligence (AI) in Drug Discovery Market Regional Analysis/Insights

The global Artificial Intelligence (AI) in drug discovery market is analyzed and market size information is provided by application, technology, drug type, offering, indication and end use.

The countries covered in this market report are U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Russia, Turkey, Belgium, Netherlands, Switzerland, rest of Europe, China, Japan, India, South Korea, Singapore, Thailand, Malaysia, Australia & New Zealand, Philippines, Indonesia, rest of Asia-Pacific, U.A.E, Israel, South Africa, Saudi Arabia, Egypt, rest of Middle East and Africa, Brazil, Argentina and rest of South America.

North America is dominating the market. The increasing investment in R&D and adoption of AI technology in medicine discovery and development in the North America region over the past few years is expected to boost the market growth. The U.S. dominates North America region due to strong presence of AI technology providers such as IBM, Google, Microsoft and others.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the Medical Display market

Product Development/Innovation: Detailed insights on upcoming technologies, R&D activities, and product launches in the market

Competitive Assessment: In-depth assessment of the market strategies, and geographic and business segments of the leading players in the market

Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavours to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Data Bridge Market Research has over 500 analysts working in different industries. We have catered more than 40% of the fortune 500 companies globally and have a network of more than 5000+ clientele around the globe. Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude. We are content with our glorious 99.9 % client satisfying rate.

Contact Us:-
Data Bridge Market research
US: +1 888 387 2818
UK: +44 208 089 1725
Hong Kong: +852 8192 7475

This release was published on openPR.

Permanent link to this press release:

Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.

You can edit or delete your press release Artificial Intelligence (AI) in Drug Discovery Market is Grow at a CAGR of 53.3% and is Expected to Reach the Value of USD 24,618.25 million by 2029 here

News-ID: 2823041 • Views: 1082

More Releases from Data Bridge Market Research

Augmented Analytics Market will Exhibit a CAGR of 30.2% Forecast by Period of 20 …
Data Bridge Market Research has recently published the comprehensive business research on "Global Augmented Analytics Market" includes historic data, present market trends, future product environment, marketing strategies, technological innovation, upcoming technologies, emerging trends or opportunities, and the technical progress in the related industry. Augmented Analytics Market research report gives critical information about the market and business landscape. It suggests how the company is perceived by the target customers and clients
Africa MDI, TDI, Polyurethane Market - Growing at CAGR of 3.9%, Current Key Play …
An all-inclusive Africa MDI, TDI, Polyurethane market report is prepared using data sourced from in-house databases, secondary and primary research performed by a team of industry experts. This report employs the SWOT analysis technique for the assessment of the development of the most remarkable market players. An excellent market report can be explored in terms of breakdown of data by manufacturers, region, type and application, market status, market share, growth
Middle East & Africa Quicklime Market is expected to Reach USD 585,677.67 thousa …
Middle East & Africa quicklime market is expected to gain significant growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyzes that the market is growing at a CAGR of 3.7% in the forecast period of 2022 to 2029 and is expected to reach USD 585,677.67 thousand by 2029. Quicklime is an amorphous white solid with a high melting point of 2600 degrees Celsius. It forms slaked
Stem Cell Manufacturing Market Scope and Overview, Report Overview, Consumption …
Stem Cell Manufacturing Market report provides information about the industry, including valuable Analysis and Detailed study. This research study explores the Global Stem Cell Manufacturing Market in detail such as industry chain structures, raw material suppliers, with manufacturing. The Stem Cell Manufacturing market examines the primary segments of the market. This intelligent study provides historical data from forecast.It also provides the details such as whether the customers will spend a

All 5 Releases

More Releases for Drug

Alcohol Testing And Drug Testing Equipment Market 2025 Segmentation, Application …
Market Study Report, LLC, has compiled an exhaustive research study of the ‘Alcohol Testing And Drug Testing Equipment market’, detailing every single market driver and intricately analyzing the business vertical. This ‘Alcohol Testing And Drug Testing Equipment market’ study will aid in seeking out new business opportunities and fine-tuning existing marketing strategies through insights regarding SWOT analysis, market valuation, competitive spectrum, regional share, and revenue predictions. Alcohol abuse and drug
How much Diabetes Drug Market Impact Worldwide Medical Drug Industry?
Diabetes Drug Market From an insight perspective, the market report focuses on various levels of analyses — industry analysis, market rank analysis, and company profiles, which together comprise and discuss basic views on the competitive landscape, high-growth regions, and countries as well as their respective regulatory policies, Types ,Applications and opportunities in the market.  Diabetes is a metabolic disorder in which the body glucose level is elevated. There are two types of diabetes
Hepatitis Drug Market Hepatitis Drug Clinical Pipeline Report 2023
For Report Sample Contact: or +91-11-47067990 Report Table of Contents 1. Introduction to Hepatitis Disease 1.1 Prologue 1.1.1 History of Hepatitis 1.1.2 Causes of Hepatitis Disease 1.2 Types of Viruses which are Responsible for Hepatitis Disease 2. Global Prevalence of Hepatitis Infection 3. Available Drug Classes for Hepatitis Disease Treatment 3.1 Interferon Alfa Therapy 3.2 Protease Inhibitors Therapy 3.3 Polymerase
Microcapsules Drug Delivery Market Microcapsules Drug Delivery Sales Report 2022
For Report Sample Contact: or +91-11-47067990 Report Table of Contents 1. Indispensable Advent of Microcapsules 1.1 Trajectory of Microencapsulation 1.2 Why and wherefores for Microencapsulation 2. Characterization of Microcapsules 2.1 Composition of Microcapsules 2.2 Parameters Influencing Microcapsules 3. Engineering Technology of Microcapsules 3.1 Physical Manufacturing Technologies 3.2 Physicochemical and Chemical Technologies 4. Applicability of Microcapsules 4.1 Microcapsules in Pharmaceuticals 4.2 Microcapsules in Nutraceuticals
AstraZeneca’s NMOSD Drug receives orphan drug designation
April 18, 2017 Orphan Drug European Medicine Agency has Announced orphan drug designation for inebilizumab (earlier known as MEDI-551) developed by AstraZeneca PLC (AZN) for the treatment of neuromyelitis optica spectrum disorder (NMOSD). The drug has already received orphan drug status from US Food and Drug Administration (FDA). NMOSD, also called Devic’s disease, is a rare, autoimmune disorder of the central nervous system (CNS) that affects the functioning
Drug Discovery Strategies, PBPK Modeling and Drug-Drug Interaction Explored and …
This year’s 12th annual ADMET conference and exhibition promises to deliver appearances from experienced pharmaceutical professionals from ADME and PK/PD organisations such as AbbVie, GSK, Roche and Bayer when it returns to London this June. The carefully selected speaker line up will be addressing early ADME application strategies and discussing the latest technologically advanced screening and testing models along with exploring ADMET technologies which will identify properties of a drug