Future Demand and Leading Companies Shaping the Machine Learning (ML) in The Pharmaceutical Industry Market to 2029
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What Are the Forecasted Growth Rate and Market Size of the Machine Learning (ML) in The Pharmaceutical Industry Market?
In recent times, the market size for machine learning (ML) within the pharmaceutical industry has witnessed tremendous growth. It’s projected to elevate from $3.02 billion in 2024 to $4.08 billion in 2025, registering a compound annual growth rate (CAGR) of 34.9%. The significant growth during the historic period is due to the rising adoption of federated learning, expedited timelines for drug discovery, improved drug safety and pharmacovigilance, along with the growth in the realm of precision medicine applications.
The market size of machine learning (ML) in the pharmaceutical industry is projected to experience a substantial surge in the upcoming years. It is estimated to reach “$13.76 billion by 2029 with a compound annual growth rate (CAGR) of 35.5%“. This projected growth during the forecast period can be credited to the escalating complexity of biological data, the rise in computational power, enhanced industry awareness and education, and the emergence of patient-focused healthcare solutions. Key trends predicted to drive this growth in the forecast period include collaborations and partnerships between AI and pharma, therapy approaches that are drug-agnostic, ML system interoperability, decentralization of clinical trials, and discovery of biomarkers driven by AI.
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Which Factor Is Shaping The Future Of The Machine Learning (ML) in The Pharmaceutical Industry Market?
There’s a rising uptake of artificial intelligence (AI) which is propelling the use of machine learning (ML) in the pharmaceutical sector. AI, a computer software simulating human cognitive function to carry out intricate tasks like analysis, reasoning, and learning, often works in tandem with ML. ML, which is a part of AI, employs algorithms trained on data to create models capable of executing complex tasks. The application of AI and ML in pharmaceutical technology and drug delivery design offers prompt solutions to intricate problems. This technology could revolutionize the drug delivery process, advance decision-making methodologies, and manage large data quantities for more efficient decisions. As an illustration, Forbes, an American business magazine, reported in June 2023 that around 432,000 UK firms, roughly one in six, have put at least one AI technology into operation. Furthermore, 68% of large businesses, 33% of medium-sized firms, and 15% of small businesses have also implemented at least one AI technology. Hence, the upward trend in the use of artificial intelligence (AI) is likely to spearhead machine learning (ML) in the pharmaceutical industry.
The machine learning (ml) in the pharmaceutical industry market covered in this report is segmented –
1) By Component: Solution, Services
2) By Component: Cloud, On-premise
3) By Enterprise Size: Small and Medium Enterprises (SMEs), Large Enterprises
Subsegments:
1) By Solution: Drug Discovery Platforms, Predictive Analytics Tools, Clinical Trial Optimization Solutions, Patient Data Management Systems, Personalized Medicine Applications
2) By Services: Consulting Services, Implementation And Integration Services, Data Analysis And Modeling Services, Training And Support Services, Managed Services
What Trends Are Currently Influencing Growth In The Machine Learning (ML) in The Pharmaceutical Industry Market?
Leading businesses in the pharmaceutical sector that utilize machine learning (ML) are emphasizing the creation of intuitive software solutions such as drug discovery software to boost their potential in discovering new drugs. Drug discovery software is a general term referring to a range of specific tools and platforms implemented during the process of discovering and developing new pharmaceutical drugs. For example, in December 2023, Merck & Co. Inc., a pharmaceutical company based in the United States, introduced the AIDDISON drug discovery software. It’s the pioneering software-as-a-service platform combining drug discovery and synthesis attributes with generative AI, machine learning, and computer-assisted drug design. This platform aids labs in identifying appropriate drug candidates from an extensive chemical space, virtually screening compounds from a pool of over 60 billion chemical targets, and appraising synthesis routes for a safer, more affordable, and larger yield manufacturing of drugs.
Which Companies Hold The Largest Market Share In The Machine Learning (ML) in The Pharmaceutical Industry Sector?
Major companies operating in the machine learning (ML) in the pharmaceutical industry market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Dell Technologies Inc., Hitachi Ltd., International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., Hewlett Packard Enterprise, NVIDIA Corporation, Thales SA, Atos SE, Hexagon AB, Palantir Technologies Inc., Verient Systems Inc., Alteryx Inc., Comet ML Inc., GAVS Technologies, NEC Corporation, Veritone Inc., H2O.ai Inc., Sparkcognition Inc., Akira AI, Deep Genomics Inc., Cloud Pharmaceuticals Inc., Atomwise Inc., Cyclica Inc., BioSymetrics Inc., Neptune Labs
How Does Regional Performance Compare Across The Machine Learning (ML) in The Pharmaceutical Industry Industry?
North America was the largest region in the machine learning in the pharmaceutical industry market in 2024. 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.
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