Gene Prediction Tools

Global Gene Prediction Tools Market to Reach US$462.8 Million by 2030

The global market for Gene Prediction Tools estimated at US$159.6 Million in the year 2024, is expected to reach US$462.8 Million by 2030, growing at a CAGR of 19.4% over the analysis period 2024-2030. Software Type, one of the segments analyzed in the report, is expected to record a 20.9% CAGR and reach US$349.6 Million by the end of the analysis period. Growth in the Services Type segment is estimated at 15.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$43.5 Million While China is Forecast to Grow at 25.7% CAGR

The Gene Prediction Tools market in the U.S. is estimated at US$43.5 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$105.7 Million by the year 2030 trailing a CAGR of 25.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 14.3% and 17.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 15.5% CAGR.

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.

SCOPE OF STUDY:

The report analyzes the Gene Prediction Tools market in terms of units by the following Segments, and Geographic Regions/Countries:

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.

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 FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

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APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA
CHINA
MEXICO
CANADA
EU
JAPAN
INDIA
176 OTHER COUNTRIES.

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