Top Factor Driving Artificial Intelligence (AI) In Biopharmaceuticals Market Growth in 2025: Chronic Disease Prevalence Fueling Growth Of AI In Biopharmaceuticals Market

How Are the key drivers contributing to the expansion of the artificial intelligence (ai) in biopharmaceuticals market?
The rise in chronic diseases is predicted to fuel the expansion of the artificial intelligence (AI) in the biopharmaceuticals market. Chronic illnesses are enduring conditions that usually develop slowly and can last for several years or possibly a lifetime. These diseases can be attributed to lifestyle factors, a growing ageing population, genetic predisposition, and environmental influences. AI in biopharmaceuticals is being utilized more and more to manage chronic illnesses because it can process large amounts of varied data, identify trends, and tailor treatment methods. For example, the Department of Health and Human Services reported in November 2023, that in contrast to 2021, there was an 11 percent surge in newly diagnosed cases of chronic hepatitis B in 2022. Thus, the escalating occurrence of chronic illnesses is prompting the growth of the artificial intelligence (AI) in biopharmaceuticals market.

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What growth opportunities are expected to drive the artificial intelligence (ai) in biopharmaceuticals market's CAGR through 2034?
The biopharmaceutical sector's artificial intelligence (AI) market size has seen significant expansion in the past few years. Projected growth shows it increasing from $1.59 billion in 2024 to $2.12 billion in 2025, boasting a compound annual growth rate (CAGR) of 33.1%. Factors such as enhanced computational capacity, the surge in biomedical data, the emergence of precision medicine, and regulatory assistance and direction have contributed to the growth during the historic period.

Over the next several years, the market size for artificial intelligence (AI) in biopharmaceuticals is projected to enjoy substantial growth, reaching a valuation of $6.67 billion in 2029, with a compound annual growth rate (CAGR) of 33.2%. The uptick during this forecast period can be credited to progress in computational biology, merging of diverse data modalities, the intersection of AI and life sciences, supportive regulatory frameworks, and adherence to AI principles ensuring fairness and ethicality. Future trends to watch for include the incorporation of multi-omics data, the drive towards AI-fuelled drug design and discovery, comprehensible AI gaining regulatory approval, technological progress, evolving regulatory landscapes, and emerging opportunities.

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How are the latest trends influencing the growth of the artificial intelligence (ai) in biopharmaceuticals market?
Prominent organizations in the sector of artificial intelligence (AI) for biopharmaceuticals are channeling their resources into groundbreaking advances like AI-driven solutions for target and lead identification, aimed at expediting drug discovery and precision medicine to bring about substantial change in the life sciences field. These solutions take an inventive approach to the creation of new drugs and the customization of treatments for each patient. For example, in May 2023, Google LLC, an American cloud computing services' provider, launched two revolutionary AI-powered tools namely, target and lead identification suites. These tools are engineered to assist researchers in predicting and understanding protein structures, a critical aspect of drug development. Furthermore, this suite enables researchers to gather, store, analyze, and disseminate vast quantities of genomic data, a key element in precision medicine. The intention behind these tools is to make the drug discovery process more efficient, cut costs, and expedite the introduction of new treatments in the market. By offering effective data management, precise predictions of protein structures, and sophisticated genomic analysis capabilities, these tools aspire to overhaul drug development procedures and enhance patient outcomes.

Which growth-oriented segments of the artificial intelligence (ai) in biopharmaceuticals market are leading the industry's development?
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 regions are leading the charge 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.

What companies are at the forefront of innovation in the artificial intelligence (ai) in biopharmaceuticals market?
Major companies operating in the artificial intelligence (AI) in biopharmaceuticals market are Apple Inc., Google LLC, Microsoft Corporation, Tencent Holdings Limited, Amazon Web Services Inc., International Business Machines Corporation, Exscientia Limited, NVIDIA Corporation, Amgen Inc., DeepMind Technologies Limited, Schrödinger Inc., XtalPi Inc., ConcertAI Inc., Insilico Medicine Inc., Recursion Pharmaceuticals, BenevolentAI, BioXcel Therapeutics, Atomwise Inc., BioAge Labs Inc., GNS Healthcare, Berg Health, Deep 6 AI Inc., Cloud Pharmaceuticals Inc., Numerate Inc., AI Therapeutics, Envisagenics, twoXAR Inc., Cyclica Inc.

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What Is Covered In The Artificial Intelligence (AI) In Biopharmaceuticals Global Market Report?

• Market Size Forecast: Examine the artificial intelligence (ai) in biopharmaceuticals market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in biopharmaceuticals market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) in biopharmaceuticals market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in biopharmaceuticals market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in biopharmaceuticals market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in biopharmaceuticals market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in biopharmaceuticals market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in biopharmaceuticals market, including expansions, agreements, and new product launches.

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