The global market for Artificial Intelligence (AI) in Genomics was valued at US$1.1 Billion in 2024 and is projected to reach US$8.7 Billion by 2030, growing at a CAGR of 40.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.
In gene therapy, AI plays a pivotal role by providing tools to design effective interventions by analyzing complex genetic data. This capability is vital in enhancing the understanding and treatment of diseases at the genetic level. RNA sequencing technologies, especially RNA-Seq, benefit from AI by offering more accurate quantifications of gene expressions and their variations, thus providing deeper insights into biological processes and potential disease mechanisms. These advancements are not only accelerating the pace of research but also improving the quality and effectiveness of medical treatments and gene therapies, underscoring the critical role of AI in pushing the boundaries of modern medicine and scientific understanding.
However, the integration of AI into genomics raises significant challenges and ethical considerations, particularly concerning the protection and privacy of genetic data and the moral implications of genetic editing. Ensuring the security of sensitive genetic information and adhering to strict regulatory standards are paramount as AI and genomics become more intertwined. Moreover, ethical debates surrounding the potential for creating designer genes highlight the need for careful consideration of how these technologies are applied. The growth of AI in genomics is also driven by factors such as advancements in AI and machine learning technologies, the exponential increase in genomic data, and the growing emphasis on precision medicine. Additionally, reduced sequencing costs, the demand for drug development, strategic collaborations, and increased public and private investment all contribute to the expansion of AI applications in genomics, promising to further advance the field and expand its impact on various aspects of healthcare and medicine.
Global Artificial Intelligence (AI) in Genomics Market - Key Trends and Drivers Summarized
Artificial Intelligence (AI) is revolutionizing genomics, significantly enhancing the accuracy and speed of genome sequencing and genetic analysis. By integrating AI with genomics, researchers and healthcare providers can more quickly decode genetic material, facilitating advancements in personalized medicine where treatment plans are tailored to individual genetic profiles. AI's capacity to handle vast datasets gleaned from electronic medical records has expanded its applications across healthcare, agriculture, and environmental science, contributing to more targeted disease management and therapy options. For instance, AI algorithms can analyze patient health trajectories and predict outcomes with greater precision than traditional methods, profoundly impacting the development of personalized medical approaches and treatments.In gene therapy, AI plays a pivotal role by providing tools to design effective interventions by analyzing complex genetic data. This capability is vital in enhancing the understanding and treatment of diseases at the genetic level. RNA sequencing technologies, especially RNA-Seq, benefit from AI by offering more accurate quantifications of gene expressions and their variations, thus providing deeper insights into biological processes and potential disease mechanisms. These advancements are not only accelerating the pace of research but also improving the quality and effectiveness of medical treatments and gene therapies, underscoring the critical role of AI in pushing the boundaries of modern medicine and scientific understanding.
However, the integration of AI into genomics raises significant challenges and ethical considerations, particularly concerning the protection and privacy of genetic data and the moral implications of genetic editing. Ensuring the security of sensitive genetic information and adhering to strict regulatory standards are paramount as AI and genomics become more intertwined. Moreover, ethical debates surrounding the potential for creating designer genes highlight the need for careful consideration of how these technologies are applied. The growth of AI in genomics is also driven by factors such as advancements in AI and machine learning technologies, the exponential increase in genomic data, and the growing emphasis on precision medicine. Additionally, reduced sequencing costs, the demand for drug development, strategic collaborations, and increased public and private investment all contribute to the expansion of AI applications in genomics, promising to further advance the field and expand its impact on various aspects of healthcare and medicine.
Report Scope
The report analyzes the Artificial Intelligence (AI) in Genomics market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments
Component (Software, Services, Hardware); Technology (Machine Learning, Other Technologies); Functionality (Genome Sequencing, Gene Editing, Other Functionalities); Application (Drug Discovery & Development, Precision Medicine, Diagnostics, Other Applications); End-User (Pharma & Biotech Companies, Hospitals & Healthcare Providers, Research Centers, Other End-Users).Geographic Regions/Countries
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.Key Insights:
- Market Growth: Understand the significant growth trajectory of the Genomics AI Software segment, which is expected to reach US$4.6 Billion by 2030 with a CAGR of a 43.7%. The Genomics AI Services segment is also set to grow at 39.7% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $319.4 Million in 2024, and China, forecasted to grow at an impressive 37.4% CAGR to reach $1.2 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of major players such as Data4Cure, Deep Genomics, Fabric Genomics (formerly Omicia), Freenome, Inc., Genoox and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence (AI) in Genomics Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence (AI) in Genomics Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence (AI) in Genomics Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Some of the 23 major companies featured in this Artificial Intelligence (AI) in Genomics market report include:
- Data4Cure
- Deep Genomics
- Fabric Genomics (formerly Omicia)
- Freenome, Inc.
- Genoox
- IBM Corporation
- Illumina, Inc.
- Microsoft Corporation
- NVIDIA Corporation
- Sophia Genetics
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAITALYREST OF EUROPEREST OF WORLDIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
UNITED KINGDOM
ASIA-PACIFIC
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Data4Cure
- Deep Genomics
- Fabric Genomics (formerly Omicia)
- Freenome, Inc.
- Genoox
- IBM Corporation
- Illumina, Inc.
- Microsoft Corporation
- NVIDIA Corporation
- Sophia Genetics
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 210 |
| Published | March 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 1.1 Billion |
| Forecasted Market Value ( USD | $ 8.7 Billion |
| Compound Annual Growth Rate | 40.6% |
| Regions Covered | Global |
