The global market for Gene Prediction Tools was estimated at US$159.6 Million in 2024 and is projected to reach US$462.8 Million by 2030, growing at a CAGR of 19.4% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Gene Prediction Tools market.
The increasing availability of next-generation sequencing (NGS) data has driven the demand for sophisticated gene prediction software that can process vast genomic datasets with high accuracy. Researchers rely on these tools to annotate genomes, identify disease-associated genes, and explore gene regulatory networks. Additionally, AI-powered gene prediction models are transforming genomic research by improving the accuracy of gene annotation and enabling the discovery of novel genetic elements. As genomic technologies evolve, gene prediction tools are playing a critical role in advancing personalized medicine, drug discovery, and synthetic biology applications.
In agriculture, gene prediction technologies are enabling crop scientists to identify genes responsible for yield, drought resistance, and pest resistance. By predicting gene functions in plant genomes, researchers can develop genetically improved crops without the need for extensive field trials. The field of synthetic biology is also leveraging gene prediction tools to engineer microbial genomes for biofuel production, bioremediation, and industrial enzyme development. As computational biology continues to advance, gene prediction tools are being integrated into a wide range of scientific disciplines, driving innovation across multiple sectors.
Additionally, cloud-based gene prediction platforms have revolutionized data processing, enabling researchers to conduct large-scale genomic analysis without requiring extensive computational infrastructure. The integration of gene prediction with single-cell sequencing technologies has further expanded the capabilities of these tools, allowing for more detailed exploration of gene expression patterns. These innovations are making gene prediction more accessible to researchers and accelerating discoveries in genomics and molecular biology.
Additionally, advancements in cloud computing and AI-driven genomic analysis have improved the scalability and efficiency of gene prediction tools, making them more accessible to researchers worldwide. The growing integration of computational biology in agriculture, synthetic biology, and biotechnology is also driving demand for gene prediction technologies. As genomic data continues to grow and bioinformatics capabilities advance, the market for gene prediction tools is expected to expand, facilitating groundbreaking discoveries in genetics, medicine, and beyond.
Segments: Type (Software Type, Services Type); Method (Empirical Methods, AB Initio Methods, Other Methods); Application (Drug Discovery & Development Application, Diagnostics Development Application, Other Applications); End-Use (Academic & Research End-Use, Industrial End-Use)
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Gene Prediction Tools Market - Key Trends & Drivers Summarized
How Are Gene Prediction Tools Enhancing Genomic Research?
Gene prediction tools have become a cornerstone of genomic research, enabling scientists to identify genes within DNA sequences, analyze genetic functions, and understand evolutionary relationships. These computational tools use advanced algorithms, machine learning models, and bioinformatics techniques to predict protein-coding genes, regulatory elements, and non-coding RNA sequences. As genomic data continues to expand, gene prediction tools have become essential for accelerating discoveries in genetics, biotechnology, and precision medicine.The increasing availability of next-generation sequencing (NGS) data has driven the demand for sophisticated gene prediction software that can process vast genomic datasets with high accuracy. Researchers rely on these tools to annotate genomes, identify disease-associated genes, and explore gene regulatory networks. Additionally, AI-powered gene prediction models are transforming genomic research by improving the accuracy of gene annotation and enabling the discovery of novel genetic elements. As genomic technologies evolve, gene prediction tools are playing a critical role in advancing personalized medicine, drug discovery, and synthetic biology applications.
Which Scientific Fields Are Benefiting the Most from Gene Prediction Technologies?
The healthcare and pharmaceutical industries are among the primary beneficiaries of gene prediction tools, using these technologies to identify potential drug targets, understand disease mechanisms, and develop gene-based therapies. Predictive genomics is increasingly being integrated into precision medicine, allowing clinicians to tailor treatments based on an individual’s genetic profile. Additionally, gene prediction tools are facilitating the identification of cancer-related mutations, leading to the development of targeted therapies and immunotherapies.In agriculture, gene prediction technologies are enabling crop scientists to identify genes responsible for yield, drought resistance, and pest resistance. By predicting gene functions in plant genomes, researchers can develop genetically improved crops without the need for extensive field trials. The field of synthetic biology is also leveraging gene prediction tools to engineer microbial genomes for biofuel production, bioremediation, and industrial enzyme development. As computational biology continues to advance, gene prediction tools are being integrated into a wide range of scientific disciplines, driving innovation across multiple sectors.
What Are the Latest Technological Innovations in Gene Prediction?
Gene prediction tools have undergone significant technological advancements, improving accuracy, efficiency, and scalability. Machine learning and AI-driven models have enhanced the ability to detect coding and non-coding genes, even in complex or poorly annotated genomes. Deep learning algorithms are now capable of analyzing vast genomic datasets to identify functional gene elements with unprecedented precision.Additionally, cloud-based gene prediction platforms have revolutionized data processing, enabling researchers to conduct large-scale genomic analysis without requiring extensive computational infrastructure. The integration of gene prediction with single-cell sequencing technologies has further expanded the capabilities of these tools, allowing for more detailed exploration of gene expression patterns. These innovations are making gene prediction more accessible to researchers and accelerating discoveries in genomics and molecular biology.
What Factors Are Fueling the Growth of the Gene Prediction Tools Market?
The growth in the gene prediction tools market is driven by several factors, including increasing investments in genomic research, the rising adoption of AI in bioinformatics, and the growing need for precision medicine. The expansion of large-scale sequencing projects, such as the Human Genome Project and various national genome initiatives, has created a demand for advanced gene annotation tools. The pharmaceutical industry’s reliance on gene prediction for drug discovery and biomarker identification has further propelled market growth.Additionally, advancements in cloud computing and AI-driven genomic analysis have improved the scalability and efficiency of gene prediction tools, making them more accessible to researchers worldwide. The growing integration of computational biology in agriculture, synthetic biology, and biotechnology is also driving demand for gene prediction technologies. As genomic data continues to grow and bioinformatics capabilities advance, the market for gene prediction tools is expected to expand, facilitating groundbreaking discoveries in genetics, medicine, and beyond.
Report Scope
The report analyzes the Gene Prediction Tools market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments: Type (Software Type, Services Type); Method (Empirical Methods, AB Initio Methods, Other Methods); Application (Drug Discovery & Development Application, Diagnostics Development Application, Other Applications); End-Use (Academic & Research End-Use, Industrial End-Use)
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Software Type segment, which is expected to reach US$349.6 Million by 2030 with a CAGR of a 20.9%. The Services Type segment is also set to grow at 15.5% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, estimated at $43.5 Million in 2024, and China, forecasted to grow at an impressive 25.7% CAGR to reach $105.7 Million by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Gene Prediction Tools Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Gene Prediction Tools Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Gene Prediction Tools Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ 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 players such as Bio-Techne, Bupa, Charles River Laboratories, Danaher Corporation, Eurofins Scientific and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Select Competitors (Total 36 Featured):
- Bio-Techne
- Bupa
- Charles River Laboratories
- Danaher Corporation
- Eurofins Scientific
- Evogene Ltd.
- Geneious (Biomatters Ltd.)
- GenomeThreader
- GenScript
- Georgia Institute of Technology
- Jigsaw (Johns Hopkins Univ.)
- MedGenome
- MutationTaster (Charité Berlin)
- SIB Swiss Institute of Bioinformatics
- Sino Biological
- SnapGene (Dotmatics)
- SnpEff
- Syngene International
- Thermo Fisher Scientific
- Twist Bioscience
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What’s Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
III. MARKET ANALYSIS
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Bio-Techne
- Bupa
- Charles River Laboratories
- Danaher Corporation
- Eurofins Scientific
- Evogene Ltd.
- Geneious (Biomatters Ltd.)
- GenomeThreader
- GenScript
- Georgia Institute of Technology
- Jigsaw (Johns Hopkins Univ.)
- MedGenome
- MutationTaster (Charité Berlin)
- SIB Swiss Institute of Bioinformatics
- Sino Biological
- SnapGene (Dotmatics)
- SnpEff
- Syngene International
- Thermo Fisher Scientific
- Twist Bioscience
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 459 |
| Published | April 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 159.6 Million |
| Forecasted Market Value ( USD | $ 462.8 Million |
| Compound Annual Growth Rate | 19.4% |
| Regions Covered | Global |
