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Gene Prediction Tools Market: Growth, Size, Share, and Trends

Gene Prediction Tools Market - Global Forecast to 2030

Report Code: UC-HC-6841 Jul, 2025, by marketsandmarkets.com

Gene prediction tools are software platforms that are used to identify, annotate, and predict gene locations, structures, and functions within genomic data. These tools employs advanced algorithms, machine learning, and statistical models to analyze sequencing data, enabling accurate gene predictions and functional insights. The gene prediction tools market is mainly driven by factors such as advancements in genomic sequencing technologies such as Next-Generation Sequencing (NGS) and long-read sequencing and rising demand for personalized medicine and precision oncology. The growing prevalence of genetic disorders and the increasing focus on genetic research, particularly in drug discovery and biomarker identification, have further amplified the demand for accurate gene prediction.

ATTRACTIVE OPPORTUNITIES IN THE GENE PREDICTION TOOLS MARKET

Attractive Opportunities in Radioligand therapy (RLT) Market

Global Gene Prediction Tools Market Dynamics

DRIVER: Advancements in Genomic Technologies

The gene prediction tools market is witnessing a rapid evolution due to development of advanced, precise, scalable, and cost-effective platforms. The development of NGS platforms such as Illumina’s NovaSeq series, has significantly reduced sequencing costs while increasing throughput, accelerating large-scale genetic studies. Similarly, integration of artificial intelligence (AI) and machine learning (ML) into gene prediction software is further transforming the market. Solutions such as GeneMark, AUGUSTUS, and DeepGene leverage AI-driven algorithms to enhance gene annotation accuracy, supporting applications in precision medicine, oncology, and rare disease research. These technological advancements are pivotal in driving innovations in driving innovation across drug discovery, biomarker development, and gene-editing applications. For example, The Cancer Genome Atlas (TCGA) utilizes high-throughput sequencing and predictive modeling to identify disease-associated genetic variants, facilitating the development of targeted therapies. Likewise, CRISPR-based genome editing companies, including Editas Medicine and CRISPR Therapeutics, rely on sophisticated gene prediction tools to optimize gene-targeting strategies.

RESTRAINT: High Computational Costs & Complexity

Despite the promising advancements in gene prediction, its widespread adoption is hindered by high computational costs and data complexity, limiting accessibility for smaller research institutions and emerging biotech firms. Advanced gene prediction algorithms, particularly those leveraging AI, machine learning, and multi-omics analysis, require significant computing power, scalable cloud infrastructure, and high-performance storage solutions, driving up operational expenses.

The lack of standardization in gene prediction methodologies complicates data interpretation, necessitating extensive customization, validation, and regulatory compliance efforts. Thus, the high cost of computation and data complexity remain major barriers to market growth.

Recent Developments:

  • In February 2024, the Australian Government invested USD 500.1 million in genomic research through its 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
  • In November 2024, the Department of Biotechnology (DBT) and the Biotechnology Research and Innovation Council (BRIC), in collaboration, launched the 'One Day One Genome' initiative to explore India's rich microbial diversity.
  • In November 2022, DNASTAR (US) launched Lasergene 17.4. It features a large amount of additional functionality geared toward variant analysis for multiple sequence alignments.
  • In September 2022, QIAGEN (Netherlands) and Neuron23 (US) entered into a collaboration agreement to develop a companion diagnostic for Neuron23’s brain penetrant leucine-rich repeat kinase (LRRK2) inhibitor for Parkinson’s disease.

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TABLE OF CONTENTS
 
1 INTRODUCTION 
 
2 RESEARCH METHODOLOGY 
 
3 EXECUTIVE SUMMARY 
 
4 PREMIUM INSIGHTS 
 
5 MARKET OVERVIEW 
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           5.2.1 DRIVERS
           5.2.2 RESTRAINTS
           5.2.3 OPPORTUNITIES
           5.2.4 CHALLENGES
    5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS BUSINESS 
    5.4 PRICING ANALYSIS 
           5.4.1 INDICATIVE PRICE OF GENE PREDICTION SOFTWARE , BY KEY PLAYERS 2024
           5.4.2 INDICATIVE PRICE OF GENE PREDICTION SOFTWARE, BY REGION 2024
    5.5 SUPPLY CHAIN ANALYSIS 
    5.6 VALUE CHAIN ANALYSIS 
    5.7 ECOSYSTEM ANALYSIS 
    5.8 TECHNOLOGY ANALYSIS 
           5.8.1 KEY TECHNOLOGIES
                    5.8.1.1  COMPUTATIONAL MODELS AND ALGORITHMS
                    5.8.1.2 HIGH-THROUGHPUT SEQUENCING TECHNOLOGIES 
                    5.8.1.3 ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)
           5.8.2 COMPLEMENTARY TECHNOLOGIES
                    5.8.2.1  MASS SPECTROMETRY
                    5.8.2.2  SUPPORT VECTOR MACHINES
           5.8.3 ADJACENT TECHNOLOGIES
                    5.8.3.1  GENOME EDITING AND ENGINEERING TECHNOLOGIES
    5.9 PATENT ANALYSIS 
    5.10 TRADE ANALYSIS 
    5.11 KEY CONFERENCES & EVENTS, 2025-2026 
    5.12 REGULATORY LANDSCAPE 
           5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES & OTHER ORGANIZATIONS
           5.12.2 REGULATORY FRAMEWORK
    5.13 PORTER’S FIVE FORCES ANALYSIS 
           5.13.1 THREAT OF NEW ENTRANTS
           5.13.2 THREAT OF SUBSTITUTES
           5.13.3 BARGAINING POWER OF SUPPLIERS
           5.13.4 BARGAINING POWER OF BUYERS
           5.13.5 INTENSITY OF COMPETITION RIVALRY
    5.14 KEY STAKEHOLDERS & BUYING CRITERIA  
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    5.14.2  BUYING CRITERIA FOR END USERS
    5.15 INVESTMENT AND FUNDING SCENARIO 
    5.16 IMPACT OF AI/ GEN AI ON GENE PREDICTION TOOLS MARKET 
 
6 GENE PREDICTION TOOLS MARKET, BY TYPE, 2023-2030 (USD MILLION) 
    6.1 INTRODUCTION  
    6.2 SOFTWARE 
    6.3 SERVICE 
 
7 GENE PREDICTION TOOLS MARKET, BY METHOD, 2023-2030 (USD MILLION) 
    7.1 INTRODUCTION  
    7.3 EMPIRICAL METHODS 
    7.4 AB INITIO METHODS 
    7.4 OTHER METHODS 
 
Note1: Other method include hybrid methods, RNA-based methods and etc. 
 
8 GENE PREDICTION TOOLS MARKET, BY APPLICATION, 2023-2030 (USD MILLION) 
    8.1 INTRODUCTION  
    8.2 DRUG DISCOVERY & DEVELOPMENT 
    8.3 DIAGNOSTICS DEVELOPMENT 
    8.4 OTHER APPLICATIONS 
 
Note4: Other applications include personalized medicine, gene therapy, gene function analysis, oncology research, microbiome research and etc. 
 
9 GENE PREDICTION TOOLS MARKET, BY END USER, 2023-2030 (USD MILLION) 
    9.1 INTRODUCTION  
    9.2 ACADEMIC & RESEARCH INSTITUTES 
    9.3 BIOTECHNOLOGY COMPANIES 
    9.4 OTHER END USER 
 
Note4: Other end user include hospitals & clinic laboratories and diagnostic laboratories 
 
10 GENE PREDICTION TOOLS MARKET, BY REGION, 2023-2030 (USD MILLION) 
     10.1 INTRODUCTION 
     10.2 NORTH AMERICA 
             10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
             10.2.2 US
             10.2.3 CANADA
     10.3 EUROPE 
             10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
             10.3.2 GERMANY
             10.3.3 UK
             10.3.4 FRANCE
             10.3.5 ITALY
             10.3.6 SPAIN
             10.3.7 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
             10.4.2 JAPAN
             10.4.3 CHINA
             10.4.4 INDIA
             10.4.5 REST OF ASIA PACIFIC
     10.5 LATIN AMERICA 
             10.5.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA
             10.5.2 BRAZIL
             10.5.3 MEXICO
             10.5.4 REST OF LATIN AMERICA
     10.6 MIDDLE EAST 
             10.6.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST
             10.6.2 GCC COUNTRIES
                        10.6.2.1 UNITED ARAB EMIRATES (UAE)
                        10.6.2.2 SAUDI ARABIA (KSA)
                        10.6.2.3 REST OF GCC COUNTRIES
             10.6.3 REST OF MIDDLE EAST
     10.7 AFRICA 
             10.7.1 MACROECONOMIC OUTLOOK FOR AFRICA
 
11 COMPETITIVE LANDSCAPE 
     11.1 OVERVIEW 
     11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 
     11.3 REVENUE ANALYSIS, 2021-2023 
     11.4 MARKET SHARE ANALYSIS, 2023 
     11.5 COMPANY EVALUATION MATRIX, 2023 
             11.5.1 STARS
             11.5.2 EMERGING LEADERS
             11.5.3 PERVASIVE PLAYERS
             11.5.4 PARTICIPANTS
             11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 
                        11.5.5.1 COMPANY FOOTPRINT
                        11.5.5.2 REGION FOOTPRINT
                        11.5.5.3 TYPE FOOTPRINT
                        11.5.5.4 METHOD FOOTPRINT
                        11.5.5.4 APPLICATION FOOTPRINT
     11.6 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2024 
             11.6.1 PROGRESSIVE COMPANIES
             11.6.2 RESPONSIVE COMPANIES
             11.6.3 DYNAMIC COMPANIES
             11.6.4 STARTING BLOCKS
             11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
             11.6.1 GENE PREDICTION TOOLS MARKET: KEY STARTUPS/SMES
             11.6.2 GENE PREDICTION TOOLS MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     11.7 COMPETITIVE SCENARIO  
             11.7.1 DEALS
             11.7.2 OTHER DEVELOPMENTS
     11.8 BRAND/PRODUCT COMPARATIVE ANALYSIS 
             11.8.1 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE
     11.9 VENDOR VALUATION AND FINANCIAL METRICS 
 
12 COMPANY PROFILES* 
     12.1 KEY PLAYERS 
             12.1.1 THERMO FISHER SCIENTIFIC INC.
             12.1.2 DANAHER CORPORATION
             12.1.3 AGILENT TECHNOLOGIES, INC.
             12.1.4 QIAGEN
             12.1.5 ILLUMINA INC
             12.1.6 GENSCRIPT
             12.1.7 EUROFINS
             12.1.8 CHARLES RIVER LABORATORIES
             12.1.9 DNASTAR 
             12.1.10 SOFTBERRY TECHNOLOGIES
             12.1.11 BGI GENOMICS
             12.1.12 AZOLIFESCIENCE
             12.1.13 MEDGENOME
             12.1.14 DOTMATICS
             12.1.15 BIOINFORMATICS SOLUTIONS INC.
     12.2 OTHER PLAYERS 
             12.2.1 GENOMICS LTD
             12.2.2 SYNTHEGO
             12.2.3 SEQWELL
             12.2.4 SINO BIOLOGICAL
             12.2.5 PACBIO
             12.2.6 SYNGENE INTERNATIONAL LIMITED
             12.2.7 TWIST BIOSCIENCE
             12.2.8 AGENA BIOSCIENCE, INC
             12.2.9 FABRIC GENOMICS, INC.
             12.2.10 SOFTGENETICS, LLC.
 
* The details on business overview, financial information, product portfolio, recent developments, MarketsandMarkets view will be provided for key players. These details might not be captured in the case of unlisted companies. The provided list of players is tentative and subject to change during the research.
 
13 APPENDIX 
     13.1 DISCUSSION GUIDE 
     13.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.3 AVAILABLE CUSTOMIZATIONS 
     13.4 RELATED REPORTS 
     13.5 AUTHOR DETAILS 

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