Global Artificial Intelligence (AI) In Drug Discovery Market Size and Forecast 2023-2032| IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals,

The Artificial Intelligence (AI) In Drug Discovery Global Market Report 2023 by The Business Research Company, provides artificial intelligence (ai) in drug discovery market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten-year historic period – 2010-2021, and a ten-year forecast period – 2023-2032.

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According to The Business Research Company’s Artificial Intelligence (AI) In Drug Discovery Global Market Report 2023, the market size is expected to grow from $1.04 billion in 2022 to $1.38 billion in 2023 at a compound annual growth rate (CAGR) of 31.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global artificial intelligence (ai) in drug discovery market size is expected to grow to $3.74 billion in 2027 at a CAGR of 28.4%.

The rise in demand for a reduction in the overall time taken for the drug discovery process is a key driver propelling the growth of the artificial intelligence (AI) in drug discovery market. Traditionally, it takes three to five years for animal models to identify and optimize molecules before they are evaluated in humans whereas start-ups based on AI have been identifying and designing new drugs in a matter of few days or months.

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The artificial intelligence (ai) in drug discovery market is segmented:

1) By echnology: Deep Learning, Machine Learning

2) By Drug Type: Small Molecule, Large Molecules

3) By Therapeutic Type: Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Other Therapeutics

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

The shortage of skilled professionals is expected to hamper the AI in drug discovery market. The employees have to re-train or learn new skill sets to work efficiently on the complex AI machines to get the desired results for the drug. The shortage of skills acts as a major hindrance to drug discovery through AI, discouraging companies to adopt AI-based machines for drug discovery. in 2020, according to a study by National Skills Coalition, one-third of America’s workers lacked digital skills. This figure accounted for 18% of workers with only a few skills and 13% with no digital abilities.

The artificial intelligence (ai) in drug discovery market report table of contents includes:

1. Executive Summary

2. Artificial Intelligence (AI) In Drug Discovery Market Characteristics

3. Artificial Intelligence (AI) In Drug Discovery Market Trends And Strategies

4. Artificial Intelligence (AI) In Drug Discovery Market – Macro Economic Scenario

5. Artificial Intelligence (AI) In Drug Discovery Market Size And Growth

26. Africa Artificial Intelligence (AI) In Drug Discovery Market

27. Artificial Intelligence (AI) In Drug Discovery Market Competitive Landscape And Company Profiles

28. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Drug Discovery Market

29. Artificial Intelligence (AI) In Drug Discovery Market Future Outlook and Potential Analysis

30. Appendix

Top Major Players: