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Artificial Intelligence (AI) in Precision Medicine Market Poised To Hit $12.02 Billion By 2030 With A 32.2% CAGR
The artificial intelligence (AI) in precision medicine market has experienced rapid expansion in recent years. It will grow from $2.98 billion in 2025 to $3.93 billion in 2026 at a compound annual growth rate (CAGR) of 31.8%. Historically, this growth has been fueled by an increase in genomic sequencing data, progress in healthcare analytics, the rising occurrence of chronic illnesses, the imperative for personalized treatments, and the broadening availability of digital health records.
The artificial intelligence (AI) in precision medicine market size is anticipated to undergo rapid growth over the coming years. It is projected to reach $12.02 billion in 2030, at a compound annual growth rate (CAGR) of 32.2%. This projected growth stems from factors such as the integration of AI with genomics research, the increasing adoption of personalized medicine, greater investment in precision healthcare, a rising utilization of real world evidence, and advancements in clinical AI platforms. Key trends anticipated during the forecast period involve AI driven genomic data analysis, personalized treatment recommendation systems, predictive disease risk modeling, clinical decision support automation, and real time patient data integration.
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Artificial Intelligence (AI) in Precision Medicine Market Growth Momentum: What Factors Are Shaping Demand?
The widespread occurrence of chronic illnesses and respiratory conditions is anticipated to fuel the expansion of artificial intelligence in the precision medicine market in the future. Chronic illnesses are defined as health conditions persisting for over a year and necessitating continuous medical care, whereas respiratory disorders encompass diseases impacting the airways and lungs. Within precision medicine, artificial intelligence assists in diagnosing and forecasting outcomes for individuals with respiratory diseases by utilizing clinical data and chest imaging. Its application in precision medicine for treating chronic illnesses stems from its ability to lower costs and optimize resource deployment. As an illustration, in May 2023, the United Nations, a US-based intergovernmental organisation, projected that chronic diseases including cardiovascular diseases, cancer, diabetes, and respiratory illnesses would be responsible for 86% of the 90 million deaths by 2050. Furthermore, in June 2024, data from the Australian Institute of Health and Welfare, an Australia-based government agency, indicated a rise in the death rate linked to chronic conditions by 490 deaths per 100,000 people in 2022. Consequently, the substantial prevalence of chronic illnesses and respiratory diseases is set to drive artificial intelligence in the precision medicine market.
Artificial Intelligence (AI) in Precision Medicine Market Segment Performance And Emerging Opportunities
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
Artificial Intelligence (AI) in Precision Medicine Market Trends Redefining Industry Growth
Leading companies in the artificial intelligence (AI) in precision medicine market are concentrating on developing advanced AI-based life sciences solutions, such as protein structure prediction suites, to quicken drug discovery, improve target identification, and enhance the efficiency of personalized treatment development. Protein structure prediction suites are artificial intelligence (AI)-driven tools designed to accurately model the three-dimensional structures of proteins, thereby accelerating drug discovery and deepening the understanding of biological functions. For instance, in May 2023, Google LLC, a US-based technology corporation, introduced the Target and Lead Identification Suite, an AI-based life sciences solution aimed at accelerating in silico drug development. This suite assists research teams in predicting protein structures and accurately determining amino acid functions, thus increasing the efficiency and precision of drug discovery and development within precision medicine.
Artificial Intelligence (AI) in Precision Medicine Market Key Players: Which Companies Lead Industry Competition?
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 Regional Breakdown: Where Is Demand Concentrated?
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.
