Artificial Intelligence (AI) In Drug Discovery Market Overview 2023-2032 – Market Growth Analysis, Trends And Drivers

The Business Research Company’s Artificial Intelligence (AI) In Drug Discovery Global Market Report 2023 is the most detailed report available on the market, including broad forecast periods and multiple geographies. The report covers the historic period – 2010-2021, and the forecast period – 2023-2032. The Artificial Intelligence (AI) In Drug Discovery Global Market Report 2023 evaluates artificial intelligence ai in drug discovery market size, growth rate, drivers, trends, and major companies.

The report provides a global perspective by covering 60 geographies and focusing on major economies in each region – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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The global artificial intelligence ai in drug discovery market is expected to grow from $3,739.2 million in 2027 at a rate of 29.1%. The market is then expected to grow at a CAGR of 25.7% from 2027 and reach $11,729.1 million in 2032.

Government support is expected to drive the growth of the artificial intelligence (AI) in drug discovery market going forward. Governments recognize the potential of AI technologies in revolutionizing drug discovery, and they are increasingly implementing policies and initiatives to promote their adoption. For example, in April 2022, the Australian government unveiled a financing program worth AUD44 million ($29.61 million), to aid in the promotion of artificial intelligence research among small and medium-sized enterprises. To increase the application of AI in Australia’s national manufacturing priority sectors and digital growth priority areas, including pharmaceuticals, digital capability centers will be established. Such government support will help in the growth of the artificial intelligence (AI) in drug discovery market.

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The artificial intelligence ai in drug discovery market segments in the report are:

1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning

2) By Drug Type: Small Molecules; Large Molecules

3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Anti-Infective Diseases; Respiratory Diseases; Other Therapeutics

4) By End User: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Other End-Users

The table of contents in TBRC’s artificial intelligence ai in drug discovery market report includes:

  1. Executive Summary
  2. Table Of Contents
  3. List Of Figures
  4. List Of Tables
  5. Report Structure
  6. Introduction And Market Characteristics
  7. Major Market Trends

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  1. Opportunities And Strategies
  2. Artificial Intelligence (AI) In Drug Discovery Market, Conclusions And Recommendations
  3. Appendix

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