The global gene prediction tools market size was estimated at USD 164.5 million in 2024 and is projected to grow at a CAGR of 18.69% from 2025 to 2030. This growth can be attributed to the increasing R&D in biotechnology and pharmaceuticals, technological advancements in genomics, the growing demand for personalized medicine, and the rising prevalence of genetic disorders. Moreover, growth in government initiatives and funding, and the integration of AI and ML is driving the adoption of gene prediction tools. For instance, in December 2022, the UK government announced to invest around USD 190 million in cutting-edge genomics research to establish the advanced genomic healthcare system.
The growing prevalence of genetic disorders and the need for early diagnosis and intervention drive the demand for gene prediction tools. Accurate gene prediction can facilitate the identification of genetic mutations associated with various diseases, enabling early diagnosis and improved patient outcomes. For instance, genetic disorders such as cystic fibrosis, muscular dystrophy, and certain types of cancer can be better managed with early and precise genetic identification.
The rapid progress in genomic technologies, such as next-generation sequencing (NGS) and bioinformatics, has revolutionized gene prediction. These advancements have enabled more accurate and efficient identification of genes, driving the adoption of gene prediction tools. For instance, the advent of high-throughput sequencing technologies allows for comprehensive analysis of entire genomes, providing vast amounts of data that can be analyzed using sophisticated gene prediction algorithms. By identifying specific genetic variations, healthcare providers can customize treatments for conditions like cancer, cardiovascular diseases, and rare genetic disorders.
Government initiatives and increased funding for genomic research are also significant drivers for the gene prediction tools industry growth. Governments and research institutions worldwide are investing in genomic projects to advance scientific understanding and improve public health. For instance, the National Institutes of Health (NIH) in the U.S. has funded numerous genomic research initiatives, including the Human Genome Project and the All of Us Research Program. In February 2024, the Australian Government announced the investment of USD 500.1 million in genomic research under the Genomics Health Futures Mission to enhance disease testing and diagnosis, provide personalized treatment options, and improve health outcomes while reducing unnecessary interventions and health costs.
Similarly, in November 2024, the Department of Biotechnology (DBT) and the Biotechnology Research and Innovation Council (BRIC) launched the 'One Day One Genome' initiative to explore India's rich microbial diversity. Shri Amitabh Kant, G-20 Sherpa and former NITI Aayog CEO, announced it during BRIC's first foundation day at the National Institute of Immunology, New Delhi. Such initiatives provide substantial support for the development and adoption of gene prediction tools, fostering market growth.
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The growing prevalence of genetic disorders and the need for early diagnosis and intervention drive the demand for gene prediction tools. Accurate gene prediction can facilitate the identification of genetic mutations associated with various diseases, enabling early diagnosis and improved patient outcomes. For instance, genetic disorders such as cystic fibrosis, muscular dystrophy, and certain types of cancer can be better managed with early and precise genetic identification.
The rapid progress in genomic technologies, such as next-generation sequencing (NGS) and bioinformatics, has revolutionized gene prediction. These advancements have enabled more accurate and efficient identification of genes, driving the adoption of gene prediction tools. For instance, the advent of high-throughput sequencing technologies allows for comprehensive analysis of entire genomes, providing vast amounts of data that can be analyzed using sophisticated gene prediction algorithms. By identifying specific genetic variations, healthcare providers can customize treatments for conditions like cancer, cardiovascular diseases, and rare genetic disorders.
Government initiatives and increased funding for genomic research are also significant drivers for the gene prediction tools industry growth. Governments and research institutions worldwide are investing in genomic projects to advance scientific understanding and improve public health. For instance, the National Institutes of Health (NIH) in the U.S. has funded numerous genomic research initiatives, including the Human Genome Project and the All of Us Research Program. In February 2024, the Australian Government announced the investment of USD 500.1 million in genomic research under the Genomics Health Futures Mission to enhance disease testing and diagnosis, provide personalized treatment options, and improve health outcomes while reducing unnecessary interventions and health costs.
Similarly, in November 2024, the Department of Biotechnology (DBT) and the Biotechnology Research and Innovation Council (BRIC) launched the 'One Day One Genome' initiative to explore India's rich microbial diversity. Shri Amitabh Kant, G-20 Sherpa and former NITI Aayog CEO, announced it during BRIC's first foundation day at the National Institute of Immunology, New Delhi. Such initiatives provide substantial support for the development and adoption of gene prediction tools, fostering market growth.
Global Gene Prediction Tools Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, the analyst has segmented the global gene prediction tools market report based on type, method, application, end use, and region:Type Outlook (Revenue, USD Million, 2018 - 2030)
- Software
- Services
Method Outlook (Revenue, USD Million, 2018 - 2030)
- Empirical Methods
- Ab initio Methods
- Others
Application Outlook (Revenue, USD Million, 2018 - 2030)
- Drug Discovery & Development
- Diagnostics Development
- Others
End-use Outlook (Revenue, USD Million, 2018 - 2030)
- Academic & Research
- Industrial
Regional Outlook (Revenue, USD Million, 2018 - 2030)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- Japan
- China
- India
- Australia
- South Korea
- Thailand
- Latin America
- Brazil
- Argentina
- MEA
- South Africa
- Saudi Arabia
- UAE
- Kuwait
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. Gene Prediction Tools Market Variables, Trends & Scope
Chapter 4. Gene Prediction Tools Market: Type Estimates & Trend Analysis
Chapter 5. Gene Prediction Tools Market: Method Estimates & Trend Analysis
Chapter 6. Gene Prediction Tools Market: Application Estimates & Trend Analysis
Chapter 7. Gene Prediction Tools Market: End Use Estimates & Trend Analysis
Chapter 8. Gene Prediction Tools Market: Regional Estimates & Trend Analysis by Type, Method, Application, and End Use
Chapter 9. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
- Thermo Fisher Scientific
- Bio-Techne
- Charles River Laboratories
- Eurofins
- GenScript
- Danaher
- MedGenome
- Sino Biological
- Syngene
- Twist Bioscience
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 120 |
Published | January 2025 |
Forecast Period | 2024 - 2030 |
Estimated Market Value ( USD | $ 164.5 Million |
Forecasted Market Value ( USD | $ 457.2 Million |
Compound Annual Growth Rate | 18.6% |
Regions Covered | Global |
No. of Companies Mentioned | 10 |