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Artificial Intelligence (AI) in Precision Medicine Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) in precision medicine market size has experienced significant expansion in recent years. This market is set to expand from $2.98 billion in 2025 to $3.93 billion in 2026, achieving a compound annual growth rate (CAGR) of 31.8%. Several factors contributed to its growth during the historical period, including the increase in genomic sequencing data, progress in healthcare analytics, the rising prevalence of chronic diseases, the demand for personalized therapies, and the broader expansion of digital health records.
The artificial intelligence (AI) in precision medicine market is projected to experience substantial expansion in the coming years. This market is anticipated to reach $12.02 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 32.2%. Factors contributing to this growth during the forecast period include the integration of AI with genomics research, an increase in the adoption of personalized medicine, growing investment in precision healthcare, the escalating use of real-world evidence, and continuous advancements in clinical AI platforms. Key trends emerging in the forecast period encompass AI-driven genomic data analysis, systems for personalized treatment recommendations, predictive disease risk modeling, the automation of clinical decision support, and real-time patient data integration.
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Artificial Intelligence (AI) in Precision Medicine Market Growth Momentum: Which Factors Are Influencing Demand?
The widespread occurrence of chronic illnesses and respiratory disorders is anticipated to fuel the expansion of artificial intelligence in the precision medicine market going forward. Chronic illnesses are defined as medical conditions persisting over a year and necessitating continuous medical attention, while respiratory disorders encompass diseases affecting the airways and lungs. Artificial intelligence in precision medicine plays a crucial role in diagnosing and forecasting outcomes for individuals suffering from respiratory diseases, utilizing clinical data and chest imaging. It is employed in precision medicine to manage chronic illnesses, as it contributes to cost reduction and optimized resource utilization. For instance, 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, revealed that the death rate linked to chronic conditions rose by 490 deaths per 100,000 people in 2022. Therefore, the significant incidence of chronic illnesses and respiratory diseases will undeniably drive artificial intelligence in the precision medicine market.
Artificial Intelligence (AI) in Precision Medicine Market Segmentation And Category Breakdown
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 Industry Trends Shaping Future Revenue Growth
Leading companies operating within the artificial intelligence (AI) in precision medicine market are concentrating on developing advanced AI-based life sciences solutions, such as protein structure prediction suites. These efforts aim to expedite drug discovery, refine target identification, and enhance the efficiency of personalized treatment development. Protein structure prediction suites are AI-driven tools that precisely model the three-dimensional structures of proteins, facilitating quicker drug discovery and a better understanding of biological functions. For instance, in May 2023, Google LLC, a US-based technology corporation, unveiled an AI-based life sciences solution named the Target and Lead Identification Suite, engineered to accelerate in silico drug development. This suite empowers research teams to forecast protein structures and accurately ascertain amino acid functions, thereby significantly improving the efficiency and precision of drug discovery and development within the precision medicine domain.
Artificial Intelligence (AI) in Precision Medicine Market Competitive Analysis Of Major 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 Global Footprint: Which Region Holds Market Leadership?
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.