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Artificial Intelligence in Drug Discovery Market Size, Share & Industry Analysis, By Technology (Machine Learnings, Other Technologies), By Offerings (Software, Services), By Applications (Metabolic Disease, Cardiovascular Diseases, Oncology, Others), By End Users (Pharmaceutical & Biotechnological Companies, Academic & Research Institutes, Others) And Regional Forecast 2023-2030

Region : Global | Report ID: FBI105354 | Status : Ongoing



The use of AI has been increasing in various sectors, particularly the pharmaceutical industry. Drug companies rapidly understand the importance of introducing systems focused on Artificial Intelligence that can exploit data on gene variants, receptor targets, disease events, and clinical studies to find hidden associations in drug-disease. Increasing number of patients affected by chronic diseases, flourishing healthcare sector, including manufacturers approach towards lowering the manufacturing cost associated to drug development are a number of the factors driving the market. Adoption of cloud based services and applications will further create new and ample opportunities for growth in artificial intelligence in Drug discovery market

Artificial Intelligence in Drug Discovery market is expected to register a strong growth rate during the forecast period due to factors such as advancement in the technology, increasing need to reduce cost and drug discovery along with reduce time, growing number of cross-industry collaborations and partnerships along with rising adoption of cloud based applications like AbbVie used AiCure's AI-based patient monitoring platform to advance adherence in phase 2 schizophrenia trial. Increasing investment by major players in biopharma companies and rising R&D activities are other factors expected to boost the growth of the target market.

However, a lack of data sets in the field of drug discovery and the inadequate availability of skilled labor are some of the major factors likely to restrict the growth of global market.

Key Market Driver -

Technological Advancements and increasing diversification of Drug discovery pipeline.

Key Market Restraint -

Unavailability of skilled labor

Market Segmentation:

Globally, the Artificial Intelligence in Drug Discovery market can be segmented on the basis of technology, offerings, application, end-user, and region. Based on technology, the market can be segmented into machine learning and other technologies. Based on offerings, the market can be segmented into Software and services. Based on applications market can be segmented into Metabolic Disease, Cardiovascular Diseases, Oncology, Others. Based on End Users market is segmented into Pharmaceutical & Biotechnological Companies, Academic & Research Institutes, Others Geographically, the Artificial Intelligence in Drug Discovery market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.

Key Players Covered:

Some of the major companies that are present in the Artificial Intelligence in Drug Discovery market are Microsoft, NVIDIA Corporation, IBM Corporation, Atomwise, Inc., DEEP GENOMICS, Cloud Pharmaceuticals, Inc., Insilco Medicine and other prominent players.

Key Insights:

  • Prevalence of Key Diseases, By Key Regions, 2020

  • Snapshot of the Regulatory Scenario of the Clinical Workflow Solutions

  • Impact of COVID-19 on Artificial Intelligence in Drug Discovery Market

  • New Product Launches

  • Key Industry Developments (Mergers, Acquisitions, And Collaborations)

Regional Analysis:

Geographically, the Artificial Intelligence in Drug Discovery market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. North America is projected to account as the prevailing market. Countries like USA have been early adopters of AI technology in drug discovery and development. In the North American market, the US is a major contributor. The prominent AI technology providers, such as IBM, Google, Microsoft, NVIDIA, and Intel, are headquartered in the US. Europe is expected to grow moderately in global market owing to the rising need for AI technology in drug discovery and development. Strong healthcare expenditure are primarily responsible for Europe’s strong share in the global market. The United Kingdom is the leading country in terms of investment and number of AI tech companies, and it is maintaining the same pace of growth. The Asia Pacific region is projected to grow at the highest CAGR primarily owing to fast adoption of AI technology in pharmaceutical industry and drug development with the implementation of favorable government initiatives and strategies. Latin America and the Middle East & Africa are estimated to account for comparatively lower market revenue shares and growth rates.

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By Technology

  • Machine Learnings

  • Other Technologies

By Offerings

  • Software

  • Services

By Applications

  • Metabolic Disease

  • Cardiovascular Diseases

  • Oncology

  • Others

By End Users

  • Pharmaceutical & Biotechnological Companies

  • Academic & Research Institutes, Others

  • Others

By Geography

  • North America (USA, and Canada)

  • Europe (UK, Germany, France, Italy, Spain and Rest of Europe)

  • Asia Pacific (Japan, China, India, Australia and Rest of Asia Pacific)

  • Latin America (Brazil, Mexico, Rest of Latin America)

  • Middle East & Africa (South Africa and Rest of the Middle East & Africa)

Artificial Intelligence in Drug Discovery Market Industry Developments

  • In Sept 2019: Atomwise Inc. and Jiangsu Hansoh Pharmaceutical Group Co. Ltd announced the collaboration of $1.5 billion to design and discover the potential drug candidates for up to 11 undisclosed target proteins in cancer and other therapeutic areas.

  • Benevolent AI, company technically reached ‘unicorn’ status in 2018 when it achieved a valuation of €1.7B after a big fundraising. The company is working on its own drug candidates, it also has various partnerships including with the big pharma companies AstraZeneca and Novartis

  • Ongoing
  • 2022
  • 2019-2021


  • $4850

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