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Artificial Intelligence in Drug Discovery Market

Artificial Intelligence in Drug Discovery Market Size study, Share & Segment by Components (software and service), by Technology (Machine learning, deep learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Others), by Application, by End Use, and by Region | Global Market Forecast 2022-2028

Report Id: SNS/HC/1011 | May 2022 | Region: Global | 125 Pages

Report Scope & Overview:

Artificial intelligence in drug discovery market is projected to arrive at USD 5632 million by 2028 from USD 513 million of every 2021, at a CAGR of 40.8% during the gauge time frame 2022-2028. The development of the man-made brainpower in drug revelation market is fundamentally determined by elements like the developing number of cross-industry coordinated efforts and associations, the rising need to control drug disclosure and improvement costs and lessen the general time taken in this interaction, the rising reception of cloud-based applications and administrations, and the approaching patent expiry of blockbuster drugs.

Artificial intelligence in drug discovery market

Then again, an absence of informational collections in the field of medication disclosure and the deficient accessibility of gifted work are a portion of the elements testing the development of the market. Man-made reasoning has huge applications in the medication revelation field as it helps track sicknesses, make illness fixes and foresee which creature infections seem to transform. Man-made consciousness has been known to upgrade R&D in drug disclosure, which has assisted analysts with finding constant illness medicines. Drug disclosure and advancement in the fields of medication, pharmacology, and biotechnology are processes for the creation, plan, and acquisition of a medication through distinguishing a natural objective, like catalyst protein, quality, or receptor. Beforehand, the medications were found by distinguishing the dynamic fixing regular medicines. Subsequently, drug disclosure is the initial phase during the time spent distinguishing possible novel medications and their restorative reason. New standards for drugs are estimated in light of their bioavailability, adequacy, power, and poisonousness.

Impact of COVID on artificial intelligence for drug discovery
It is assessed that computerized reasoning for drug revelation and advancement market would show a critical market development because of the Covid-19 pandemic, inferable from ascending in the reception of AI to find and foster medications for treatment of COVID-19. For example, in June 2020 Repurpose.AI teamed up with Scripps Research to foster COVID-19 therapeutics with an emphasis on drug reusing. Man-made reasoning based drug screening strategies will hypothetically assist with making sense of significant pieces of the infection, (for example, protein structure) to survey how the elements of the infection can assume a fundamental part in a drug plan and speed up antibody advancements to battle COVID-19. Besides, Artificial knowledge can help drug disclosure and advancement process by rapidly recognizing drugs having viability against COVID-19. This overcomes any issues between a number of reused drugs (involving existing medications for different illnesses), clinical testing, and the last medication approval process.

The product section represented the biggest portion of the AI in the medication revelation market, by type, in 2021

In view of offering, the man-made brainpower in the medication disclosure market is sectioned into programming and administration. In 2020, the product fragment represented a bigger portion of the overall industry during the conjecture time frame. Factors, for example, less expense and time to advertise the medication, low disappointment rate, an enormous number of programming engineers for drug disclosure, and solid interest for the product among large pharma and biotech organizations and examination foundations are driving the development of the product fragment.

The neurodegenerative illnesses section is supposed to develop at the most elevated CAGR during the gauge time frame.

In view of the application, the computerized reasoning in the medication disclosure market is divided into neurodegenerative sicknesses, immuno-oncology, cardiovascular illness, metabolic infections, and different applications. Neurodegenerative illnesses structure the quickest developing application fragment, with a most noteworthy CAGR during the estimated time frame. The capacity of AI to find drugs for complex circumstances and the accentuation of market players on giving AI-based stages to neurological illnesses are liable for the quick development of this application portion.

The drug and biotechnology organizations portion represented the biggest portion of the AI in the medication disclosure market in 2021

In light of end-client, the AI in the medication disclosure market is sectioned into drug and biotechnology organizations, contract research associations, examination focuses, and scholarly, and government establishments. In 2018, the drug and biotechnology organizations section represented the biggest offer in the AI in the medication disclosure market.

North America represented the biggest portion of the AI in the medication revelation market in 2021

The worldwide AI in the medication disclosure market is sectioned into four significant areas, specifically, North America, Europe, APAC, and the Rest of the World. In 2022, North America was the biggest and the quickest developing provincial market for AI in drug revelation. North America, which involves the US, Canada, and Mexico, frames the biggest market for AI in drug disclosure. These nations have been early adopters of AI innovation in drug disclosure and advancement. In the North American market, the US is a significant supporter. Likewise, unmistakable AI innovation suppliers, like IBM, Google, Microsoft, NVIDIA, and Intel, are settled in the US; their solid presence is a critical supporter of market development. Different drivers incorporate the deep-rooted drug industry, high spotlight on R&D and significant speculation, and the presence of worldwide driving drug organizations. These are a portion of the central point answerable for the huge offer and high development pace of this market.

Key players in the AI in the drug discovery market

The AI in the medication revelation market is divided in nature, with an enormous number of players, including level 1, mid-level organizations, and startup firms, going after portions of the overall industry. The conspicuous players in the worldwide AI in drug revelation market incorporate IBM Corporation, Microsoft, and Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, and BERG LLC.


By Component

  • Software

  • Services

By Technology

  • Machine Learning

  • Deep Learning

  • Supervised Learning

  • Reinforcement Learning

  • Unsupervised Learning

  • Others Technologies

By End-Use

  • Pharmaceutical & Biotechnology Companies

  • Contract Research Organizations

  • Research Centres

  • Academic & Government Institutes

By Application

  • Excavation and mining

  • Immuno-Oncology

  • Neurodegenerative Diseases

  • Cardiovascular Diseases

  • Metabolic Diseases

  • Other Applications 

Artificial intelligence in drug discovery market


North America held the major man-made consciousness for drug disclosure and improvement portion of the overall industry in 2021 and is supposed to proceed with its strength during the estimated time frame, attributable to solid economies like the U.S. furthermore, Canada; high reception pace of AI innovations because of an enormous number of speculations to support the medication disclosure industry; and a huge number of cross-industry joint efforts and associations, which significantly fuel the market development. Be that as it may, Asia-Pacific is supposed to develop at the most noteworthy CAGR during the estimated time frame, inferable from ascending in the reception of cutting edge AI advancements and development in the focal point of central parts on expanding their presence in arising Asian nations.

Exhaustive cutthroat examination and profiles of the major man-made consciousness for drug revelation and improvement market players like Alphabet Inc., Atomwise, Inc., Benevolent AI, Cloud Pharmaceutical, Deep Genomics, Exscientia, IBM Corporation, Insilico Medicine Inc., Microsoft Corporation, and Nvidia Corporation are given in this report.   


North America

  • USA

  • Canada

  • Mexico


  • Germany

  • UK

  • France

  • Italy

  • Spain

  • The Netherlands

  • Rest of Europe


  • Japan

  • south Korea

  • China

  • India

  • Australia

  • Rest of Asia-Pacific

The Middle East & Africa

  • Israel

  • UAE

  • South Africa

  • Rest of Middle East & Africa

Latin America

  • Brazil

  • Argentina

  • Rest of Latin America

Artificial Intelligence in Drug Discovery Market Report Scope:
Report Attributes Details
Market Size in 2021 US$ 513 Million
Market Size by 2028 US$ 5632 Million
CAGR CAGR of 40.8% From 2022 to 2028
Base Year 2021
Forecast Period 2022-2028
Historical Data 2017-2020
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Components (software and service)
• By Technology (Machine learning, deep learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Others)
• By Application
• By End Use
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles IBM Corporation, Microsoft, and Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, and BERG LLC.

Frequently Asked Questions (FAQ) :

Ans. Manufacturer and service provider, research institutes, university and private libraries, suppliers and distributers.

Ans. Neurodegenerative diseases, immuno-oncology, cardiovascular diseases, and metabolic diseases form AI in the drug discovery industry. Due to the growing demand for effective cancer treatment, the immuno-oncology segment holds the highest share of AI in the drug discovery market.

Ans. North America has the largest market share in AI in Drug Discovery Market.

Ans. The drivers of AI in Drug Discovery Market include Increasing Adoption of Artificial Intelligence in Healthcare Sector and growing Investment in Healthcare Sector

Ans. The Global Artificial Intelligence in Diagnostics Market is estimated to reach $162.9billion by 2028.

Table of Contents


1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions


2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges


4. Impact Analysis


4.1 COVID 19 Impact Analysis


5. Value Chain Analysis


6. Porter’s 5 forces model


7.  PEST Analysis


8. The SNS Graph


9. Artificial Intelligence in Drug Discovery Market Segmentation,by Component




10. Artificial Intelligence in Drug Discovery Market Segmentation, by  technology

10.1 Machine Learning

10.2 Deep Learning

10.3 Supervised Learning

10.4 Reinforcement Learning

10.5 Unsupervised Learning

10.7 Others Technologies


11 .Artificial Intelligence in Drug Discovery Market Segmentation, By end use

11.1 Pharmaceutical & Biotechnology Companies

11.2 Contract Research Organizations

11.3 Research Centres

11.4 Academic & Government Institutes


12. Artificial Intelligence in Drug Discovery Market Segmentation, By application

12.1Excavation and mining

12.2 Immuno-Oncology

12.3 Neurodegenerative Diseases

12.4 Cardiovascular Diseases

12.5 Metabolic Diseases

12.6 Others


13. Regional Analysis

13.1 Introduction

13.2 North America

13.2.1 USA

13.2.2     Canada

13.2.3     Mexico

13.3        Europe

13.3.1     Germany

13.3.2     UK

13.3.3     France

13.3.4     Italy

13.3.5     Spain

13.3.6     The Netherlands

13.3.7     Rest of Europe

13.4        Asia-Pacific

13.4.1     Japan

13.4.2     South Korea

13.4.3     China

13.4.4     India

13.4.5     Australia

13.4.6     Rest of Asia-Pacific

13.5        The Middle East & Africa

13.5.1     Israel

13.5.2     UAE

13.5.3     South Africa

13.5.4     Rest

13.6        Latin America

13.6.1     Brazil

13.6.2     Argentina

13.6.3     Rest of Latin America


14. Company Profiles

14.1 IBM

14.1.1 Financial

14.1.2 Products/ Services Offered

14.1.3 SWOT Analysis

14.1.4 The SNS view








14.9 Liebherr-international AG



15. Competitive Landscape

15.1 Competitive Benchmarking

15.2 Market Share analysis

15.3 Recent Developments


16. Conclusion


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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

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