Artificial Intelligence (AI) In Biopharmaceuticals Growth Trajectory: Key Forecasts and Strategic Insights
Discover trends, market shifts, and competitive outlooks for the artificial intelligence (ai) in biopharmaceuticals industry through 2025-2034 with The Business Research Company’s reliable data and in-depth research
How Has The Artificial Intelligence (AI) In Biopharmaceuticals Market Growth Evolved From 2024 To 2025, And What’s Ahead?
The market size of artificial intelligence (AI) in biopharmaceuticals has seen a significant surge in the past years. It is forecasted to increase from $1.59 billion in 2024 to $2.12 billion in 2025, with a compound annual growth rate (CAGR) of 33.1%. The growth experienced during the historic period is credited to the progression in computational capabilities, a boom in biomedical data, the rise of precision medicine paradigm, as well as support and guidance from regulatory authorities.
Expectations are high for a significant expansion of the artificial intelligence (AI) in biopharmaceuticals market in the coming years. The market is predicted to reach $6.67 billion in 2029, reflecting a compound annual growth rate (CAGR) of 33.2%. This growth projection for the period is based on several factors, such as improvements in computational biology, multi-modal data integration, the merger of ai and life sciences, enhanced regulatory support and frameworks, and the adoption of principled AI. Key trends for the forecast period consist of the incorporation of multi-omics data, AI-enabled drug design and discovery, explainable AI and regulatory compliance, technological progression, regulatory advancements, and an array of emerging opportunities.
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Which Factors and External Forces Are Driving Demand in the Artificial Intelligence (AI) In Biopharmaceuticals Market?
The surge in chronic illnesses is predicted to fuel the expansion of the artificial intelligence (AI) in the biopharmaceutical industry going forward. Chronic diseases, typically characterized by slow progression over years or potentially throughout an individual’s lifetime, are often resultant of lifestyle characteristics, an advancing aging demographic, genetic tendencies, and environmental contributors. AI, within the realm of biopharmaceuticals, has seen an upward trend in its usage for managing these chronic ailments, owing to its capacity to process large quantities of diverse data, spot trends and provide bespoke treatment plans. For example, the Department of Health and Human Services registered an 11 percent rise in newly reported chronic hepatitis B cases in November 2023, compared to 2021. Hence, the escalating occurrence of chronic diseases is propelling the growth of artificial intelligence (AI) in the biopharmaceutical sector.
Which Segments in the Artificial Intelligence (AI) In Biopharmaceuticals Offer the Most Growth?
The artificial intelligence (AI) in biopharmaceuticals market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Deployment: Cloud, On-Premises
3) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Other Technologies
4) By Application: Business Process And Supply Chain, Drug Discovery, Medical Imaging And Diagnostics, Precision Medicine
5) By End-Users: Manufacturers, Contract Research Organizations, Academic And Government Research Institutes
Subsegments:
1) By Hardware: High-Performance Computing Systems, AI-Enabled Laboratory Equipment, Data Storage Solutions
2) By Software: Drug Discovery Platforms, Clinical Trial Management Software, Predictive Analytics Tools, Natural Language Processing Solutions
3) By Services: Consulting Services, Implementation And Integration Services, Data Management And Analytics Services, Training And Support Services
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What Are the Fastest-Growing Geographies in the Artificial Intelligence (AI) In Biopharmaceuticals Market?
North America was the largest region in the artificial intelligence (AI) in biopharmaceuticals market in 2024. 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.
Which Cutting-Edge Market Trends Are Expected to Drive the Artificial Intelligence (AI) In Biopharmaceuticals Market’s Growth?
Key players in the biopharmaceutical artificial intelligence (AI) sector are concentrating on creating pioneering advancements like AI-powered target and lead identification suite solutions to expedite the process of drug discovery and precision medicine. They are transforming life sciences firms with their groundbreaking methods for producing new drugs and customizing treatments for individual patients. For example, US-based cloud computing service provider Google LLC launched two AI-powered tools known as target and lead identification suites in May 2023, which are meant to assist researchers in predicting and understanding protein structures – a crucial aspect of drug development. Moreover, the suite will enable scientists to input, preserve, scrutinize, and disseminate large volumes of genomic data, which is essential for precision medicine. These tools aim to expedite the drug discovery process, cut costs, and accelerate the introduction of new treatments to the market. They offer efficient data management, precise predictions of protein structures, and superior genomic analysis abilities – hoping to revolutionize drug development processes and enhance patient results.
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What Are the Key Elements That Define the Artificial Intelligence (AI) In Biopharmaceuticals Market?
Artificial intelligence (AI) in biopharmaceuticals refers to applying various AI techniques to analyze complex biological data and improve various aspects of drug discovery, development, and delivery within the pharmaceutical industry. AI in biopharmaceuticals holds great promise for revolutionizing drug discovery, development, and delivery processes by accelerating timelines, reducing costs, and improving the efficiency and effectiveness of treatments.
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