Global Machine Learning (ML) in The Pharmaceutical Industry Market Analysis: Size, Drivers, Trends, Opportunities, And Strategies
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What is the Expected Growth Rate of the Machine Learning (ML) in The Pharmaceutical Industry Market from 2024 to 2033?
The machine learning in the pharmaceutical industry market has seen substantial growth, expected to rise from $2.22 billion in 2023 to $3.02 billion in 2024, at a CAGR of 36.1%. This growth can be attributed to the adoption of federated learning, accelerated drug discovery, enhanced drug safety, and the expansion of precision medicine applications.
The machine learning in the pharmaceutical industry market is anticipated to grow significantly, reaching $10.2 billion by 2028 at a CAGR of 35.7%. This growth is driven by biological data complexity, enhanced computational power, industry education, and patient-centric solutions. Key trends include AI-pharma collaborations, drug-agnostic therapies, ML system interoperability, decentralized trials, and AI-driven biomarker discovery.
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What Key Factors Are Fueling the Growth of the Machine Learning (ML) in The Pharmaceutical Industry Market?
The growing adoption of artificial intelligence is fueling machine learning in the pharmaceutical sector. AI mimics human cognition for complex tasks, while machine learning, a subset of AI, utilizes algorithms to generate models for various applications. In pharmaceuticals, AI and ML streamline drug delivery and enhance decision-making. Forbes reported in June 2023 that 432,000 organizations in the UK, or one in six, have adopted AI technology, with higher adoption rates among larger businesses. Thus, the increased use of AI is expected to drive machine learning in pharmaceuticals.
What Are the Major Segments of the Machine Learning (ML) in The Pharmaceutical Industry Market?
1) By Component: Solution, Services
2) By Component: Cloud, On-premise
3) By Enterprise Size: Small and Medium Enterprises (SMEs), Large Enterprises
What New Trends Are Transforming the Machine Learning (ML) in The Pharmaceutical Industry Market?
In the machine learning (ML) sector of the pharmaceutical industry, companies are focusing on user-friendly software. For instance, in December 2023, Merck & Co. launched AIDDISON, a SaaS platform that integrates drug discovery with generative AI and machine learning for better drug candidate identification.
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Which Regions Are Driving Growth in the Machine Learning (ML) in The Pharmaceutical Industry Market?
North America was the largest region in the machine learning in the pharmaceutical industry market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ml) in the pharmaceutical industry market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The Machine Learning (ML) in The Pharmaceutical Industry 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 machine learning (ml) in the pharmaceutical industry market, its market share, and analyzes key competitors along with their market positions.
The Table Of Content For The Machine Learning (ML) in The Pharmaceutical Industry Market Include
1. Machine Learning (ML) in The Pharmaceutical Industry Market Executive Summary
2. Machine Learning (ML) in The Pharmaceutical Industry Market Segments
3. Machine Learning (ML) in The Pharmaceutical Industry Market Size And Template Market Growth Rate
4. Key Machine Learning (ML) in The Pharmaceutical Industry Market Trends
5. Major Machine Learning (ML) in The Pharmaceutical Industry Market Drivers
……
25. Key Mergers And Acquisitions In The Machine Learning (ML) in The Pharmaceutical Industry Market
26. Top Machine Learning (ML) in The Pharmaceutical Industry Companies
27. Machine Learning (ML) in The Pharmaceutical Industry Market Opportunities And Strategies
28. Machine Learning (ML) in The Pharmaceutical Industry Market, Conclusions And Recommendations
29. Appendix
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