Artificial Intelligence in Genomics Market Demand Growth 2025 To...

Artificial Intelligence in Genomics Market Demand Growth 2025 To 2032

Posté 2026-02-09 05:04:15

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Market Overview:

The Artificial Intelligence (AI) in Genomics Market utilizes sophisticated AI technologies, such as machine learning and deep learning together with natural language processing to handle intricate genomic data analysis and interpretation. AI technology speeds up the process of identifying genetic disease relationships along with drug development and precision medicine and genome sequencing applications that transform genomic study and healthcare practices.

Key players:

IBM, Google, Microsoft, Amazon, NVIDIA, Intel, Illumina, Qiagen, Thermo Fisher Scientific, Sophia Genetics, Freenome, x Genomics and more.

Sample Link- https://www.trendbridgeinsights.com/industry-report/artificial-intelligence-in-genomics-market

Market segmentation:

Application

· Personalized Medicine

· Diagnostics

· Drug Discovery

· Research

· Others

Technology

· Machine Learning

· Natural Language Processing

· Computer Vision

· Predictive Analytics

· Others

End User

· Pharmaceutical Biotechnology Companies

· Academic Research Institutes

· Hospitals Clinics

· Contract Research Organizations CROs

· Others

Function

· Data Analysis

· Data Interpretation

· Data Integration

· Data Mining

· Others

Mega Trend Connect:

This report offers deep insights into how mega trends such as precision medicine, biologics innovation, AI-driven discovery, and advanced biomanufacturing are transforming the biotechnology sector. It further examines the impact of recombinant technologies, cell-based platforms, synthetic biology, and data-integrated R&D pipelines. The report assesses regulatory complexity, scale-up challenges, funding cycles, and ecosystem maturity shaping commercialization and global competitiveness.

Global Trade Outlook:

Biotechnology trade is increasingly shaped by regulatory approval regimes, IP protection frameworks, and localization requirements for biologics manufacturing. Cross-border scalability is constrained by clinical validation timelines, technology transfer controls, and cold-chain dependencies. Competitive advantage depends on regulatory agility, localized manufacturing partnerships, and secure innovation ecosystems.

Region Analysis:

The Artificial Intelligence in Genomics Market is geographically segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, with clear regional distinctions. North America leads in market adoption due to advanced healthcare systems, strong genomic research funding, and early integration of AI technologies by pharmaceutical and research institutions in the United States and Canada. Europe holds a substantial share, supported by favorable government policies, strong biotechnology sectors in Germany, the UK, and France, and growing collaborations between AI developers and genomic researchers. Asia-Pacific records the highest production levels, driven by rapidly expanding biotech and pharmaceutical industries, government-backed genomic data initiatives, rising AI research investment, and a strong presence of CROs across China, India, Japan, and South Korea. Latin America and the Middle East & Africa are gradually expanding capabilities, but their production volumes remain lower than Asia-Pacific.

Recent Development

In April 2025, Google DeepMind revealed an AI model that delivers superior precision for predicting protein function modifications due to genetic alterations.

F&Q:

Q1 What is the projected market size & growth rate of the Artificial Intelligence in Genomics Market?

Artificial Intelligence in Genomics Market was valued at USD 1 billion in 2024 and is expected to reach to USD 1.7 billion by 2032, growing at a CAGR of 6.1% from 2025 to 2032.

Q2 What are the key driving factors for the growth of the Artificial Intelligence in Genomics Market?

Artificial Intelligence in Genomics Market is driven by Rising Demand for Personalized Medicine, Exponential Growth in Genomic Data, Growing Applications in Cancer and Rare Disease Diagnostics, Government and Private Sector Investment in Genomics Research, High Cost of Genomic Sequencing and AI Integration, Data Privacy and Ethical Concerns, Lack of Standardization and Interoperability, Expansion into Emerging Markets and Population Genomics Projects, Direct Integration of AI-generated genomic information into Electronic Health Records (EHRs) streamlines clinical operations while helping physicians make better decisions that lead to superior patient results in oncology and neurology and chronic disease management., AI-Driven Drug Discovery and Development, Shortage of Skilled Professionals in Genomics and Data Science, Regulatory and Validation Complexities.

Q3 What segments are covered in the Artificial Intelligence in Genomics Market?

The Global Artificial Intelligence in Genomics Market is segmented based on Application, Technology, End User, Function and Geography.

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