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Artificial Intelligence (AI) in Precision Medicine Market Size Analysis: Historical Growth And Future Revenue Projections
The market size for artificial intelligence (AI) in precision medicine has experienced significant growth in recent years. It is projected to expand from $2.98 billion in 2025 to $3.93 billion in 2026, showing a compound annual growth rate (CAGR) of 31.8%. The historic growth can be attributed to several factors, including an increase in genomic sequencing data, advancements in healthcare analytics, the rising prevalence of chronic diseases, a strong demand for personalized therapies, and the broader expansion of digital health records.
The artificial intelligence (AI) in precision medicine market is projected to experience significant expansion in the coming years. It is expected to reach $12.02 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 32.2%. This growth during the forecast period is driven by factors such as the integration of AI with genomics research, the increasing adoption of personalized medicine, growing investment in precision healthcare, the rising utilization of real-world evidence, and ongoing advancements in clinical AI platforms. Key trends anticipated in the forecast period include AI-driven genomic data analysis, systems for personalized treatment recommendations, predictive disease risk modeling, automation of clinical decision support, and real-time patient data integration.
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Artificial Intelligence (AI) in Precision Medicine Market Drivers: What Is Fueling Demand Through 2030?
The increasing prevalence of chronic illnesses and respiratory disorders is anticipated to fuel the expansion of artificial intelligence in the precision medicine market moving forward. Chronic illnesses are defined as medical conditions lasting over a year and necessitating ongoing medical attention, while respiratory disorders encompass diseases affecting the airways and lungs. Artificial intelligence within precision medicine aids in diagnosing and predicting outcomes for individuals with respiratory diseases, leveraging clinical data and chest imaging. It is also employed in precision medicine for treating chronic illnesses due to its capacity to lower costs and optimize resource utilization. For example, in May 2023, the United Nations, a US-based intergovernmental organization, estimated that chronic diseases such as cardiovascular diseases, cancer, diabetes, and respiratory illnesses would contribute to 86% of the 90 million deaths by 2050. Additionally, in June 2024, the Australian Institute of Health and Welfare, an Australia-based government agency, indicated that the death rate associated with chronic conditions rose by 490 deaths per 100,000 people in 2022. Thus, the widespread occurrence of chronic illnesses and respiratory diseases will be a key driver for artificial intelligence in the precision medicine market.
Artificial Intelligence (AI) in Precision Medicine Market Segmentation Analysis: Core Categories And Subcategories
The artificial intelligence (AI) in precision medicine market covered in this report is segmented –
1) By Component: Hardware, Software, Service
2) By Technology: Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing
3) By Therapeutic Application: Oncology, Cardiology, Neurology, Respiratory, Other Therapeutic Applications
Subsegments:
1) By Hardware: AI Processors, High-Performance Computing Systems, Diagnostic Devices
2) By Software: AI Algorithms And Models, Data Analytics Platforms, Genomic Analysis Software, Clinical Decision Support Systems
3) By Service: Consulting Services, Integration Services, Maintenance And Support Services, Training And Education Services
Which Trends Will Define The Artificial Intelligence (AI) in Precision Medicine Market Through 2030?
Major companies operating in the artificial intelligence (AI) in precision medicine market are focusing on developing advanced AI-based life sciences solutions, such as protein structure prediction suites. These developments aim to accelerate drug discovery, enhance target identification, and improve the efficiency of personalized treatment development. Protein structure prediction suites are AI-driven tools that accurately model the three-dimensional structures of proteins, serving to expedite drug discovery and improve the understanding of biological functions. For instance, in May 2023, Google LLC, a US-based technology company, introduced an AI-based life sciences solution named the Target and Lead Identification Suite, specifically designed to accelerate in silico drug development. This suite assists research teams in predicting protein structures and accurately determining amino acid functions, thereby boosting the efficiency and precision of drug discovery and development within the field of precision medicine.
Artificial Intelligence (AI) in Precision Medicine Market Major Companies And Industry Participants
Major companies operating in the artificial intelligence (AI) in precision medicine market are Alphabet Inc.; Microsoft Corporation; Intel Corporation; International Business Machines Corporation; AstraZeneca PLC; Sanofi S.A.; NVIDIA Corporation; GE HealthCare Technologies Inc.; Illumina Inc.; QIAGEN N.V.; Helix Inc.; Sema4 Holdings Corp.; SOPHiA GENETICS SA; Insilico Medicine; BenevolentAI Limited; Fabric Genomics Inc.; Tempus Technologies Inc.; Enlitic Inc.; PathAI Inc.; Genuity Science Inc.; BERG LLC; Perthera Inc.; Vuno Inc.; CureMetrix Inc.; Zephyr AI; Freenome Inc.; PetaGene Ltd.; BioXcel Therapeutics Inc.
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Artificial Intelligence (AI) in Precision Medicine Market Geographic Analysis: Which Region Accounts For The Biggest Share?
North America was the largest region in the artificial intelligence (AI) in the precision medicine market in 2025. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in precision medicine market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
