Global AI in Genomics Market

Global AI in Genomics Market size was valued at USD 696.01 million in 2024 and is projected to reach USD 10,103.50 million by 2032, growing at a CAGR of 41.7% during the forecast period (2024-2032).

The market growth is driven by increasing adoption of AI technologies in genomics research, drug discovery, diagnostics, and precision medicine. Key enablers include advancements in machine learning, deep learning, natural language processing, and computer vision applied to genomic data analysis. Rising investments from biotech and pharmaceutical companies, government initiatives supporting genomic research, and growing applications in healthcare and agriculture further fuel the market expansion. AI facilitates enhanced understanding of genetic variations, disease mechanisms, and personalized treatment strategies. Leading players focus on software innovation, cloud-based deployment, and collaboration with research institutions to capitalize on emerging opportunities. Challenges such as data privacy concerns and regulatory complexities are mitigated through evolving frameworks and technological advancements.

Top-down and bottom-up research approaches were employed to estimate and validate the market size, with market shares and segment splits triangulated using financial reports, expert interviews, and extensive secondary research. The comprehensive data set provides actionable insights into geographic regions, components, technologies, deployment modes, applications, end users, and genomics types.

Global AI in Genomics Market Segments Analysis
The market is segmented by component into software solutions and services. Technologies include machine learning, deep learning, natural language processing, computer vision, and others. Deployment segmentation comprises cloud-based, on-premises, and hybrid modes. Genomics types include functional genomics, pharmacogenomics, epigenomics, comparative genomics, and structural genomics. Application areas cover diagnostics, drug discovery development, precision medicine, agriculture, and other applications. End-users include pharmaceutical and biotech companies, academic research institutions, hospitals and clinics, diagnostic laboratories, contract research organizations, and government and regulatory bodies. Geographic segmentation covers North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

Drivers of the Global AI in Genomics Market
Key drivers include the increasing demand for precision medicine and personalized healthcare, advancements in AI and genomic sequencing technologies, growing government and private sector investments, expanding applications in diagnostics and drug development, and rising awareness about genomics benefits across industries. The integration of AI with next-generation sequencing and large-scale genomic data sets enhances research capabilities and accelerates innovation.

Restraints in the Global AI in Genomics Market
Major restraints include high implementation costs, concerns about data privacy and security, regulatory hurdles, and the need for skilled professionals to manage complex AI-genomics workflows.

Market Trends of the Global AI in Genomics Market
Notable trends comprise rapid adoption of cloud-based AI solutions, growing use of hybrid deployment models, increasing focus on integration of AI with multi-omics data, rising collaborations between AI technology providers and genomic research organizations, and expanding applications in agriculture for crop improvement alongside healthcare.

Leading companies in the global AI in Genomics market emphasize continuous innovation, strategic collaborations, expanding AI capabilities, and providing flexible deployment models to meet varied client needs and maintain competitive advantage. Show more