Gene Prediction Tools Market - By Component (Software, Service), Application (Drug Discovery & Designing, Diagnostics), End-user (Research & Academic Institutes, Biotechnology & Pharmaceutical Companies, Hospital & Clinics), Global Forecast (2023-2032)

Gene Prediction Tools Market Size

Gene Prediction Market is valued to be USD 104 million in 2022 and is projected to grow at CAGR of 18% and reach USD 541.2 million by the end of 2032. The factors such as rising demand for personalized medicines, increasing advancements in genomic research, increasing adoption of bioinformatics, and growing applications of genomics are surging the growth of the global gene prediction tools.
 

Gene prediction tools are computational algorithms and software applications designed to recognise and predict the position and structure of genes inside a DNA sequence. They are also known as gene finding tools or gene annotation tools. These tools are widely used in genomics and bioinformatics to assist researchers in understanding the genetic information contained within an organism's genome.
 

COVID-19 Impact

Due to the pandemic, there has been a significant increase in genetic research on the SARS-CoV-2 virus, which causes COVID-19. Gene prediction tools played a crucial role in identifying viral genes, mutations, and functional components. Researchers utilized these tools not only to identify potential vaccination candidates but also to assess their effectiveness and safety. As a result, mRNA vaccines and viral vector vaccines were developed with the aid of these tools.
 

However, as the pandemic unfolded, resource reallocation, lockdowns, and disruptions in research activities led to the postponement or cancellation of other research initiatives unrelated to COVID-19. This, in turn, resulted in a slowdown in the adoption and utilization of gene prediction tools in non-COVID-19 research. Clinical studies that relied on gene prediction algorithms as part of their research methods were particularly affected. Issues such as delayed patient recruitment, sample collection, and data analysis ensued, causing setbacks in drug development and therapeutic research.
 

Gene Prediction Tools Market Driving Factors

Several factors including rising demand for personalized medicines, increasing advancements in genomic research, increasing adoption of bioinformatics and genomic services, and growing applications of genomics are majorly driving the market demand. The rise of precision medicine emphasizes the importance of identification of specific genes and genetic markers associated with diseases. Gene prediction tools aid in identification of disease-associated genetic variants and enable personalized treatment strategies. In addition to this, the pharmaceutical and biotechnology companies rely on genomics for drug discovery services and development. These tools help in identifying drug targets, disease mechanisms, and predicts drug responses.
 

Gene Prediction Tools Market Restraining Factors

The gene prediction market faces challenges due to the complexity and variability of data. Genomes exhibit significant variation in terms of size, structure, and complexity among different species. Additionally, the presence of alternative splicing, which generates numerous transcript variants from a single gene, further complicates gene prediction. Accurately predicting splice isoforms is particularly challenging in this context.
 

Gene Prediction Tools Market Analysis

Based on component, the gene prediction tools market is classified as software and service. Among the components, the software segment accounted for highest market share of 64.5% in 2022. Gene prediction software allows customization of parameters, algorithms, and settings to fit their unique requirements. This flexibility is essential because different organisms and research questions may demand specialized approaches. In addition to this, the software provides privacy and security to the data and analysis. Gene prediction software typically involves a one-time or periodic licensing fee. This cost efficiency is particularly attractive to academic institutions and research laboratories with budget constraints.
 

Based on application, the gene prediction tools market is classified into drug discovery & designing, diagnostics, and other applications. Drug discovery & designing segment accounted for highest business share in 2022 and is projected to witness growth at CAGR of 18.5%. Gene prediction tools facilitates the identification of potential drug targets. Genes involved in disease pathways or encoding proteins with essential functions in disease development can be targeted for drug development efforts. These tools facilitate researchers to uncover the molecular mechanisms underlying diseases. Researchers gain insights into potential therapeutic intervention points by identifying disease-associated genes and their functions.
 

Based on the end-user, the gene prediction tools market is segmented into research & academic institutes, biotechnology & pharmaceutical companies, hospitals & clinics, and diagnostic laboratories. In 2022, research & academic institutes segment valued to be USD 48.7 million. Research centers and institutes, often associated with universities or governmental organizations, are primary end-users of gene prediction tools. Research in genomics, genetics, molecular biology, and bioinformatics is a particular area of emphasis for these institutions. Gene prediction tools plays a crucial role in genome annotation, functional genomics studies, and understanding the genetic basis of diseases. Due to increasing demand for personalized medicines and increasing investments in biotechnology and pharmaceutical companies have led to an increase in adoption of gene prediction tools in such industries. 
 

North America gene prediction tools market dominated with business share of 48.4% in 2022. The developed countries such as the United States and Canada, is home to numerous leading research institutions, universities, and biotechnology companies at the forefront of genomics research. Advances in genomics have driven the need for accurate and efficient gene prediction tools. In addition to this, North America has a robust biotechnology sector, with substantial investments in drug discovery, and biomanufacturing. Increasing number of biotechnology and pharmaceutical companies that heavily rely on gene prediction tools for drug development are expected to boost the growth of this.
 

Gene Prediction Tools Market Share

The key players in the gene prediction tools market are

• AzoLifeScience
• Softberry Technologies
• DNASTAR
• Qiagen NV
• Illumina, Inc.
• BGI Genomics
• Genscript
• Exiqon
• Geneious
• Thermo Fisher Scientific, Inc.

These companies are implementing several strategies such as collaborations, acquisitions, partnerships, mergers, and product launches to maintain a competitive edge in the industry.
 

Gene Prediction Tools Industry News:

• In June 2023, Illumina, Inc. disclosed the AI software for predicting disease-causing genetic mutations in patients. Through this, the company has enhanced its product portfolio and revenue growth.
   
• In November 2022, DNASTAR launched Lasergene 17.4 software that focuses on variant analysis for multiple sequence alignments. This strategic initiative helped the company to boost their revenue and strengthen its product portfolio.
   

Gene prediction tools market research report includes an in-depth coverage of the industry with estimates & forecast in terms of revenue in USD Million from 2018 to 2032 for the following segments:

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Market Size, By Component

• Software
• Service

Market Size, By Application

• Drug discovery & designing
• Diagnostics
• Other applications

Market Size, By End-user

• Research & academic institutes
• Biotechnology companies
• Hospitals & clinics
• Diagnostic laboratories

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada 
• Europe
  • Germany
  • UK
  • France
  • Spain
  • Italy
  • Switzerland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • Rest of Middle East & Africa