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Global Artificial Intelligence (AI) In Pharmaceutical Market is estimated to be valued at USD 1,466.1 Mn in 2025 and is expected to reach USD 10,406.9 Mn by 2032, growing at a compound annual growth rate (CAGR) of 32.3% from 2025 to 2032.

Report Coverage Report Details
Base Year: 2024 Market Size in 2025: USD 1,466.1 Mn
Historical Data for: 2020 To 2024 Forecast Period: 2025 To 2032
Forecast Period 2025 to 2032 CAGR: 32.30% 2032 Value Projection: USD 10,406.9 Mn
Figure. Global Artificial Intelligence (AI) In Pharmaceutical Market Share (%), By Region 2025
Global Artificial Intelligence (AI) In Pharmaceutical Market - IMG1

Artificial intelligence (AI) has emerged as a transformative technology that is poised to revolutionize the pharmaceutical industry. By leveraging huge amounts of data and sophisticated algorithms, AI has the potential to help drug makers to accelerate drug discovery, streamline clinical trials and enable more precise diagnosis and treatment. AI augments the work of pharmaceutical scientists by swiftly analyzing huge datasets to identify relationships that may lead to new therapies. With AI, researchers can analyze genetic sequencing information or electronic health records at an unprecedented scale and speed. The technology helps discover new therapies and predict which existing drugs could be repurposed to treat other conditions. AI promises to augment human capabilities, make pharmaceutical R&D more efficient and bring innovative new medicines to patients faster.

Market Dynamics:

Global artificial intelligence (AI) in pharmaceutical market growth is driven by rising need to control drug discovery and development costs, reduce the drug development cycle time and advance precision medicine. AI can accelerate drug discovery, reduce expensive late-stage clinical trial failures and help launch drugs faster. However, lack of interpretability of AI models and skepticism about integrating it into decision-making can hamper its adoption. Growing availability of pharma data sets and encouraging regulatory frameworks can offer significant growth opportunities. If addressed properly, interpretability issues and lack of expertise can be overcome to extract full potential from this transformative technology.

Key Features of the Study:

Detailed Segmentation-

Table of Contents

1. Research Objectives and Assumptions

2. Market Purview

3. Market Dynamics, Regulations, and Trends Analysis

4. Global Artificial Intelligence (AI) in Pharmaceutical Market- Impact of Coronavirus (COVID-19) Pandemic

5. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Deployment Mode, 2021 - 2032, (USD Mn)

6. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Offering, 2021 - 2032, (USD Mn)

7. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Technology, 2021 - 2032, (USD Mn)

8. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Drug Type, 2021 - 2032, (USD Mn)

9. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Application, 2021 - 2032, (USD Mn)

10. Global Artificial Intelligence (AI) in Pharmaceutical Market, By End User, 2021 - 2032, (USD Mn)

11. Global Artificial Intelligence (AI) in Pharmaceutical Market, By Region, 2021 - 2032, (USD Mn)

12. Competitive Landscape

13. Analyst Recommendations

14. References and Research Methodology

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