Product Code: GVR-4-68040-361-4
Gene Prediction Tools Market Size & Trends
The global gene prediction tools market size was estimated at USD 139.8 million in 2023 and is projected to grow at a CAGR of 18.57% from 2024 to 2030. This 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 are 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 an advanced genomic healthcare system.
The growing prevalence of genetic disorders and the need for early diagnosis and intervention are driving 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 of the gene prediction tools market. 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. 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, Grand View Research 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
UK
Germany
France
Italy
Spain
Denmark
Sweden
Norway
Japan
China
India
Australia
South Korea
Thailand
Brazil
Argentina
South Africa
Saudi Arabia
UAE
Kuwait
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definitions
- 1.2.1. Type Segment
- 1.2.2. Method Segment
- 1.2.3. Application Segment
- 1.2.4. End use Segment
- 1.3. Information analysis
- 1.3.1. Market formulation & data visualization
- 1.4. Data validation & publishing
- 1.5. Information Procurement
- 1.6. Information or Data Analysis
- 1.7. Market Formulation & Validation
- 1.8. Market Model
- 1.9. Total Market: CAGR Calculation
- 1.10. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Snapshot
- 2.3. Competitive Insights Landscape
Chapter 3. Gene Prediction Tools Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook.
- 3.2. Market Dynamics
- 3.2.1. Market driver analysis
- 3.2.1.1. Increasing advancements in genomic research and the growing demand for personalized medicines
- 3.2.1.2. Rising adoption of bioinformatics and growing applications of genomics
- 3.2.1.3. Technological advancements in gene prediction algorithms
- 3.2.2. Market restraint analysis
- 3.2.2.1. Low adoption of bioinformatics tools in developing countries
- 3.3. Gene Prediction Tools Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.2. PESTEL Analysis
- 3.3.3. COVID-19 Impact Analysis
Chapter 4. Gene Prediction Tools Market: Type Estimates & Trend Analysis
- 4.1. Type Segment Dashboard
- 4.2. Global Gene Prediction Tools Market Type Movement Analysis
- 4.3. Global Gene Prediction Tools Market Size & Trend Analysis, by Type, 2018 to 2030 (USD Million)
- 4.4. Software
- 4.4.1. Software market estimates and forecasts 2018 to 2030 (USD Million)
- 4.5. Services
- 4.5.1. Services market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 5. Gene Prediction Tools Market: Method Estimates & Trend Analysis
- 5.1. Method Segment Dashboard
- 5.2. Global Gene Prediction Tools Market Method Movement Analysis
- 5.3. Global Gene Prediction Tools Market Size & Trend Analysis, by Method, 2018 to 2030 (USD Million)
- 5.4. Empirical Methods
- 5.4.1. Empirical Methods market estimates and forecasts 2018 to 2030 (USD Million)
- 5.5. Ab initio Methods
- 5.5.1. Ab Initio Methods market estimates and forecasts 2018 to 2030 (USD Million)
- 5.6. Others
- 5.6.1. Others market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 6. Gene Prediction Tools Market: Application Estimates & Trend Analysis
- 6.1. Application Segment Dashboard
- 6.2. Global Gene Prediction Tools Market Application Movement Analysis
- 6.3. Global Gene Prediction Tools Market Size & Trend Analysis, by Application, 2018 to 2030 (USD Million)
- 6.4. Drug Discovery & Development
- 6.4.1. Drug discovery & development market estimates and forecasts 2018 to 2030 (USD Million)
- 6.5. Diagnostics development
- 6.5.1. Diagnostics development market estimates and forecasts 2018 to 2030 (USD Million)
- 6.6. Others
- 6.6.1. Other market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 7. Gene Prediction Tools Market: End use Estimates & Trend Analysis
- 7.1. End-use Segment Dashboard
- 7.2. Global Gene Prediction Tools Market End use Movement Analysis
- 7.3. Global Gene Prediction Tools Market Size & Trend Analysis, by End use, 2018 to 2030 (USD Million)
- 7.4. Academic & Research
- 7.4.1. Academic & research market estimates and forecasts 2018 to 2030 (USD Million)
- 7.5. Industrial
- 7.5.1. Industrial market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 8. Gene Prediction Tools Market: Regional Estimates & Trend Analysis by Type, Method, Application, and End-use
- 8.1. Regional Market Share Analysis, 2023 & 2030
- 8.2. Regional Market Dashboard
- 8.3. Market Size, & Forecasts Trend Analysis, 2018 to 2030
- 8.4. North America
- 8.4.1. North America market estimates and forecasts 2018 to 2030 (USD Million)
- 8.4.2. U.S.
- 8.4.2.1. Key country dynamics
- 8.4.2.2. Competitive scenario
- 8.4.2.3. U.S. market estimates and forecasts 2018 to 2030 (USD Million)
- 8.4.3. Canada
- 8.4.3.1. Key country dynamics
- 8.4.3.2. Competitive scenario
- 8.4.3.3. Canada market estimates and forecasts 2018 to 2030 (USD Million)
- 8.4.4. Mexico
- 8.4.4.1. Key country dynamics
- 8.4.4.2. Competitive scenario
- 8.4.4.3. Mexico market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5. Europe
- 8.5.1. Europe market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.2. UK
- 8.5.2.1. Key country dynamics
- 8.5.2.2. Competitive scenario
- 8.5.2.3. UK market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.3. Germany
- 8.5.3.1. Key country dynamics
- 8.5.3.2. Competitive scenario
- 8.5.3.3. Germany market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.4. France
- 8.5.4.1. Key country dynamics
- 8.5.4.2. Competitive scenario
- 8.5.4.3. France market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.5. Italy
- 8.5.5.1. Key country dynamics
- 8.5.5.2. Competitive scenario
- 8.5.5.3. Italy market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.6. Spain
- 8.5.6.1. Key country dynamics
- 8.5.6.2. Competitive scenario
- 8.5.6.3. Spain market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.7. Denmark
- 8.5.7.1. Key country dynamics
- 8.5.7.2. Competitive scenario
- 8.5.7.3. Denmark market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.8. Sweden
- 8.5.8.1. Key country dynamics
- 8.5.8.2. Competitive scenario
- 8.5.8.3. Sweden market estimates and forecasts 2018 to 2030 (USD Million)
- 8.5.9. Norway
- 8.5.9.1. Key country dynamics
- 8.5.9.2. Competitive scenario
- 8.5.9.3. Norway market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6. Asia Pacific
- 8.6.1. Asia Pacific market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.2. Japan
- 8.6.2.1. Key country dynamics
- 8.6.2.2. Competitive scenario
- 8.6.2.3. Japan market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.3. China
- 8.6.3.1. Key country dynamics
- 8.6.3.2. Competitive scenario
- 8.6.3.3. China market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.4. India
- 8.6.4.1. Key country dynamics
- 8.6.4.2. Competitive scenario
- 8.6.4.3. India market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.5. Australia
- 8.6.5.1. Key country dynamics
- 8.6.5.2. Competitive scenario
- 8.6.5.3. Australia market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.6. South Korea
- 8.6.6.1. Key country dynamics
- 8.6.6.2. Competitive scenario
- 8.6.6.3. South Korea market estimates and forecasts 2018 to 2030 (USD Million)
- 8.6.7. Thailand
- 8.6.7.1. Key country dynamics
- 8.6.7.2. Competitive scenario
- 8.6.7.3. Thailand market estimates and forecasts 2018 to 2030 (USD Million)
- 8.7. Latin America
- 8.7.1. Latin America market estimates and forecasts 2018 to 2030 (USD Million)
- 8.7.2. Brazil
- 8.7.2.1. Key country dynamics
- 8.7.2.2. Competitive scenario
- 8.7.2.3. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
- 8.7.3. Argentina
- 8.7.3.1. Key country dynamics
- 8.7.3.2. Competitive scenario
- 8.7.3.3. Argentina market estimates and forecasts 2018 to 2030 (USD Million)
- 8.8. MEA
- 8.8.1. MEA market estimates and forecasts 2018 to 2030 (USD Million)
- 8.8.2. South Africa
- 8.8.2.1. Key country dynamics
- 8.8.2.2. Competitive scenario
- 8.8.2.3. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
- 8.8.3. Saudi Arabia
- 8.8.3.1. Key country dynamics
- 8.8.3.2. Competitive scenario
- 8.8.3.3. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
- 8.8.4. UAE
- 8.8.4.1. Key country dynamics
- 8.8.4.2. Competitive scenario
- 8.8.4.3. UAE market estimates and forecasts 2018 to 2030 (USD Million)
- 8.8.5. Kuwait
- 8.8.5.1. Key country dynamics
- 8.8.5.2. Competitive scenario
- 8.8.5.3. Kuwait market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Company/Competition Categorization
- 9.2. Strategy Mapping
- 9.3. Company Market Position Analysis, 2023
- 9.4. Company Profiles/Listing
- 9.4.1. Thermo Fisher Scientific
- 9.4.1.1. Company overview
- 9.4.1.2. Financial performance
- 9.4.1.3. Product benchmarking
- 9.4.1.4. Strategic initiatives
- 9.4.2. Bio-Techne
- 9.4.2.1. Company overview
- 9.4.2.2. Financial performance
- 9.4.2.3. Product benchmarking
- 9.4.2.4. Strategic initiatives
- 9.4.3. Charles River Laboratories
- 9.4.3.1. Company overview
- 9.4.3.2. Financial performance
- 9.4.3.3. Product benchmarking
- 9.4.3.4. Strategic initiatives
- 9.4.4. Eurofins
- 9.4.4.1. Company overview
- 9.4.4.2. Financial performance
- 9.4.4.3. Product benchmarking
- 9.4.4.4. Strategic initiatives
- 9.4.5. GenScript
- 9.4.5.1. Company overview
- 9.4.5.2. Financial performance
- 9.4.5.3. Product benchmarking
- 9.4.5.4. Strategic initiatives
- 9.4.6. Danaher
- 9.4.6.1. Company overview
- 9.4.6.2. Financial performance
- 9.4.6.3. Product benchmarking
- 9.4.6.4. Strategic initiatives
- 9.4.7. MedGenome
- 9.4.7.1. Company overview
- 9.4.7.2. Financial performance
- 9.4.7.3. Product benchmarking
- 9.4.7.4. Strategic initiatives
- 9.4.8. Sino Biological
- 9.4.8.1. Company overview
- 9.4.8.2. Financial performance
- 9.4.8.3. Product benchmarking
- 9.4.8.4. Strategic initiatives
- 9.4.9. Syngene
- 9.4.9.1. Company overview
- 9.4.9.2. Financial performance
- 9.4.9.3. Product benchmarking
- 9.4.9.4. Strategic initiatives
- 9.4.10. Twist Bioscience
- 9.4.10.1. Company overview
- 9.4.10.2. Financial performance
- 9.4.10.3. Product benchmarking
- 9.4.10.4. Strategic initiatives