2024-2033 Global Artificial Intelligence (AI) In Biopharmaceuticals Market Outlook: Projected Size and Growth Rate
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What is the Expected Growth Rate of the Artificial Intelligence (AI) In Biopharmaceuticals Market from 2024 to 2033?
The artificial intelligence (AI) in biopharmaceuticals market has expanded rapidly, expected to grow from $1.19 billion in 2023 to $1.59 billion in 2024 at a CAGR of 33.8%. Growth factors include advancements in computational power and precision medicine.
The AI in biopharmaceuticals market is expected to see exponential growth, reaching $4.99 billion by 2028 with a CAGR of 33.1%. Growth drivers include advancements in computational biology and regulatory support. Trends involve AI-driven drug discovery and technological advancements.
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What Key Factors Are Fueling the Growth of the Artificial Intelligence (AI) In Biopharmaceuticals Market?
The rising prevalence of chronic diseases is projected to enhance the growth of the artificial intelligence (AI) in biopharmaceuticals market. Chronic diseases are long-term health conditions often influenced by lifestyle, aging, genetics, and environmental factors. AI is increasingly utilized in biopharmaceuticals to manage these conditions by analyzing large datasets, recognizing patterns, and personalizing treatments. According to the National Library of Medicine, chronic diseases are predicted to increase by 99.5%, from 71.522 million in 2020 to 142.66 million by 2050. Hence, the growing incidence of chronic diseases is driving the AI in biopharmaceuticals market.
What Are the Major Segments of the Artificial Intelligence (AI) In Biopharmaceuticals Market?
1) By Component: Software; Hardware
2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Gesture Control; Other Technologies
3) By Genre: Action; Adventure; Puzzle; Simulation; Role-Playing; Other Genres
4) By Application: PC Gaming; TV Gaming; Smartphone And Tablet Gaming
What New Trends Are Transforming the Artificial Intelligence (AI) In Biopharmaceuticals Market?
Major companies in artificial intelligence (AI) in biopharmaceuticals are developing target and lead identification suite solutions to accelerate drug discovery. In May 2023, Google LLC launched AI-powered tools to aid researchers in predicting protein structures and managing genomic data, streamlining drug development processes.
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Which Regions Are Driving Growth in the Artificial Intelligence (AI) In Biopharmaceuticals Market?
North America was the largest region in the artificial intelligence (AI) in biopharmaceuticals market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in biopharmaceuticals market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The Artificial Intelligence (AI) In Biopharmaceuticals Global Market Report 2024 offers a comprehensive overview of the audio equipment market, covering historical data from 2010 to 2021 and providing a ten-year forecast from 2023 to 2032. This report examines the size of the artificial intelligence (ai) in biopharmaceuticals market, its market share, and analyzes key competitors along with their market positions.
The Table Of Content For The Artificial Intelligence (AI) In Biopharmaceuticals Market Include
1. Artificial Intelligence (AI) In Biopharmaceuticals Market Executive Summary
2. Artificial Intelligence (AI) In Biopharmaceuticals Market Segments
3. Artificial Intelligence (AI) In Biopharmaceuticals Market Size And Template Market Growth Rate
4. Key Artificial Intelligence (AI) In Biopharmaceuticals Market Trends
5. Major Artificial Intelligence (AI) In Biopharmaceuticals Market Drivers
……
25. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Biopharmaceuticals Market
26. Top Artificial Intelligence (AI) In Biopharmaceuticals Companies
27. Artificial Intelligence (AI) In Biopharmaceuticals Market Opportunities And Strategies
28. Artificial Intelligence (AI) In Biopharmaceuticals Market, Conclusions And Recommendations
29. Appendix
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