Data for sequence comparison of commamox genomes and genes identified. This dataset is associated with the following publication: Camejo, P., J. Santodomingo, K. McMahon, and D. Noguera. Genome-enabled insights into the ecophysiology of the comammox bacterium Ca. Nitrospira nitrosa. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2(5): 1-16, (2017).

BackgroundHealth sciences research is increasingly focusing on big data applications, such as genomic technologies and precision medicine, to address key issues in human health. These approaches rely on biological data repositories and bioinformatic analyses, both of which are growing rapidly in size and scope. Libraries play a key role in supporting researchers in navigating these and other information resources.MethodsWith the goal of supporting bioinformatics research in the health sciences, the University of Arizona Health Sciences Library established a Bioinformation program. To shape the support provided by the library, I developed and administered a needs assessment survey to the University of Arizona Health Sciences campus in Tucson, Arizona. The survey was designed to identify the training topics of interest to health sciences researchers and the preferred modes of training.ResultsSurvey respondents expressed an interest in a broad array of potential training topics, including "traditional" information seeking as well as interest in analytical training. Of particular interest were training in transcriptomic tools and the use of databases linking genotypes and phenotypes. Staff were most interested in bioinformatics training topics, while faculty were the least interested. Hands-on workshops were significantly preferred over any other mode of training. The University of Arizona Health Sciences Library is meeting those needs through internal programming and external partnerships.ConclusionThe results of the survey demonstrate a keen interest in a variety of bioinformatic resources; the challenge to the library is how to address those training needs. The mode of support depends largely on library staff expertise in the numerous subject-specific databases and tools. Librarian-led bioinformatic training sessions provide opportunities for engagement with researchers at multiple points of the research life cycle. When training needs exceed library capacity, partnering with intramural and extramural units will be crucial in library support of health sciences bioinformatic research.

The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other critical areas of research. Studies suggest that bioinformatics skills in the Latin American and Caribbean region are relatively incipient, and thus its scientific systems cannot take full advantage of the increasing availability of bioinformatic tools and data. This dataset is a catalog of bioinformatics software for researchers and professionals working in life sciences. It includes more than 300 different tools for varied uses, such as data analysis, visualization, repositories and databases, data storage services, scientific communication, marketplace and collaboration, and lab resource management. Most tools are available as web-based or desktop applications, while others are programming libraries. It also includes 10 suggested entries for other third-party repositories that could be of use.

RNA expression analysis was performed on the corpus luteum tissue at five time points after prostaglandin F2 alpha treatment of midcycle cows using an Affymetrix Bovine Gene v1 Array. The normalized linear microarray data was uploaded to the NCBI GEO repository (GSE94069). Subsequent statistical analysis determined differentially expressed transcripts ± 1.5-fold change from saline control with P ≤ 0.05. Gene ontology of differentially expressed transcripts was annotated by DAVID and Panther. Physiological characteristics of the study animals are presented in a figure. Bioinformatic analysis by Ingenuity Pathway Analysis was curated, compiled, and presented in tables. A dataset comparison with similar microarray analyses was performed and bioinformatics analysis by Ingenuity Pathway Analysis, DAVID, Panther, and String of differentially expressed genes from each dataset as well as the differentially expressed genes common to all three datasets were curated, compiled, and presented in tables. Finally, a table comparing four bioinformatics tools' predictions of functions associated with genes common to all three datasets is presented. These data have been further analyzed and interpreted in the companion article "Early transcriptome responses of the bovine mid-cycle corpus luteum to prostaglandin F2 alpha includes cytokine signaling". Resources in this dataset:Resource Title: Supporting information as Excel spreadsheets and tables. File Name: Web Page, url: http://www.sciencedirect.com/science/article/pii/S2352340917304031?via=ihub#s0070

The Bioinformatics Market is Segmented by Products & Services (Knowledge Management Tools, Bioinformatics Platforms, and More), by Application (Genomics & Transcriptomics, Proteomics & Metabolomics, and More), by End-User (Pharmaceutical & Biotechnology Companies, Academics, and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Sizes and Forecasts are Provided in Terms of Value (USD).

Bioinformatics Services Market will grow from USD 4,399.58 Million to USD 16,297.10 Million by 2034, showing an impressive CAGR of 15.7%.

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Bioinformatics Market Size 2025-2029

The bioinformatics market size is forecast to increase by USD 15.98 billion, at a CAGR of 17.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the reduction in the cost of genetic sequencing and the development of advanced bioinformatics tools for Next-Generation Sequencing (NGS) technologies. These advancements enable faster and more accurate analysis of genomic data, leading to new discoveries and applications in various industries, including healthcare, agriculture, and research. However, the market faces a major challenge: the shortage of trained laboratory professionals capable of handling and interpreting the vast amounts of data generated by these technologies.
This skills gap poses a significant obstacle to the full realization of the potential of bioinformatics, necessitating strategic investments in workforce development and training programs. Companies seeking to capitalize on the opportunities presented by the market must address this challenge while continuing to innovate and develop sophisticated tools to meet the evolving needs of their customers.

What will be the Size of the Bioinformatics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in genome editing, data mining, and sequence alignment, among other techniques. Molecular modeling and high-throughput screening are essential tools in drug discovery, while bioimage analysis and gene ontology play a pivotal role in systems biology. Metabolomics data and phylogenetic analysis contribute to a deeper understanding of biological processes.

Machine learning and artificial intelligence are increasingly being integrated into bioinformatics pipelines, enabling more accurate predictions of protein structures, disease modeling, and biomarker discovery. Next-generation sequencing and transcriptomics profiling have revolutionized genomic variation studies, leading to a wealth of new insights. For instance, a recent study employing single-cell sequencing and deep learning identified over 60 distinct cell types in the human brain, expanding our knowledge of neurobiology.

The market is expected to grow at a robust rate, with industry experts projecting a 15% annual increase in demand for these advanced analytical solutions. Genome sequencing, epigenomics studies, RNA interference, and proteomics analysis are just a few more applications of bioinformatics, continually pushing the boundaries of scientific discovery. From gene expression to network analysis, the potential applications of bioinformatics are vast and ever-expanding.

How is this Bioinformatics Industry segmented?

The bioinformatics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Molecular phylogenetics
  Transcriptomic
  Proteomics
  Metabolomics


Product

  Platforms
  Tools
  Services


End-user

  Pharmaceutical and biotechnology companies
  CROs and research institutes
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Application Insights

The molecular phylogenetics segment is estimated to witness significant growth during the forecast period.

In the dynamic and innovative realm of bioinformatics, various techniques and tools are propelling research forward. Molecular phylogenetics, a branch of bioinformatics, is a prime example of this progress. This technique, which uses molecular data to explore evolutionary relationships among species, has significantly advanced our understanding of living organisms in fields such as drug discovery, disease diagnosis, and conservation biology.

For instance, molecular phylogenetics plays a pivotal role in studying viral evolution. By analyzing the molecular data of distinct virus strains, researchers can trace their evolution and uncover their origins and transmission patterns. Furthermore, industry growth in bioinformatics is anticipated to expand by approximately 15% annually, as per recent estimates, underscoring the market's continuous evolution and impact.

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The Molecular phylogenetics segment was valued at USD 4.48 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 43% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the for

Introduction

Global AI In Bioinformatics Market size is expected to be worth around US$ 136.3 Million by 2033, from US$ 3.8 Million in 2023, growing at a CAGR of 42.9% during the forecast period from 2024 to 2033. In 2023, North America led the market, achieving over 46.5% share with a revenue of US$ 1.7 Million.

This growth is driven by increasing demand for bioinformatics, decreasing sequencing costs, and significant funding from both public and private sectors for bioinformatics research. Technological advancements and strategic collaborations among leading players, such as Thermo Fisher Scientific, Illumina Inc., and Qiagen, are further fueling market expansion. These collaborations often focus on developing or upgrading bioinformatics tools to efficiently manage biological data essential for gene therapy, drug discovery, and personalized medicine.

Recent developments highlight the market's dynamic growth, with investments accelerating genomic and proteomic data analysis. These advancements are critical for understanding disease mechanisms and identifying therapeutic strategies. AI-powered bioinformatics is revolutionizing the field by enhancing data analysis speed, facilitating discoveries of new disease pathways, and identifying potential therapeutic targets.

Despite its promising growth, the market faces challenges such as the lack of standardized data formats, the need for user-friendly tools, and the complexities of managing large biological datasets. However, with ongoing technological innovations and increased investments, these challenges are expected to be addressed, creating a robust environment for further market expansion.

The size of the Bioinformatics Platforms Market market was valued at USD 16.36 Million in 2023 and is projected to reach USD 27.93 Million by 2032, with an expected CAGR of 7.94% during the forecast period. The Bioinformatics Platforms Market includes the software and tools required to understand biological data that contain genomic, proteomic, or metabolic data. These platforms include support for various applications like drug discovery, individualized medicine, and clinically related diagnostics through helps of data integration, statistical analysis and visualization. Some of the emerging trends that are driving the bioinformatics market are cloud-based bioinformatics solutions to support scalability and collaboration, advanced machine learning and artificial intelligence (AI) technologies to accurately analyze raised significance of multi-omics data integration for profound tumor bioinformatics analysis. Such factors pulling the market ahead include increasing volume of biological data in facets like research and clinical trials, evolving sequencing technologies, along with the increasing requirement for enhanced data management and analysis in genomics and proteomics. Further, the rising usage of bioinformatics for customized treatment and the growing number of research studies in genomics complement the market’s growth. Recent developments include: In June 2022, California's biotechnology research startup LatchBio launched an end-to-end bioinformatics platform for handling big biotech data to accelerate scientific discovery., In March 2022, ARUP launched Rio, a bioinformatics pipeline and analytics platform for better, faster next-generation sequencing test results.. Key drivers for this market are: Increasing Demand for Nucleic Acid and Protein Sequencing, Increasing Initiatives from Governments and Private Organizations; Accelerating Growth of Proteomics and Genomics; Increasing Research on Molecular Biology and Drug Discovery. Potential restraints include: Lack of Well-defined Standards and Common Data Formats for Integration of Data, Data Complexity Concerns and Lack of User-friendly Tools. Notable trends are: Sequence Analysis Platform Segment is Expected Hold a Significant Share Over the Forecast Period.

Virus reads reported by the bioinformatic pipeline.

Ameloblastoma is a highly aggressive odontogenic tumor, and its pathogenesis is associated with multiple participating genes. Objective: Our aim was to identify and validate new critical genes of conventional ameloblastoma using microarray and bioinformatics analysis. Methods: Gene expression microarray and bioinformatic analysis were performed to use CHIP H10KA and DAVID software for enrichment. Protein-protein interactions (PPI) were visualized using STRING-Cytoscape with MCODE plugin, followed by Kaplan-Meier and GEPIA analysis that were employed for the candidate's postulation. RT-qPCR and IHC assays were performed to validate the bioinformatic approach. Results: 376 upregulated genes were identified. PPI analysis revealed 14 genes that were validated by Kaplan-Meier and GEPIA resulting in PDGFA and IL2RA as candidate genes. The RT-qPCR analysis confirmed their intense expression. Immunohistochemistry analysis showed that PDGFA expression is parenchyma located. Conclusion: With bioinformatics methods, we can identify upregulated genes in conventional ameloblastoma, and with RT-qPCR and immunoexpression analysis validate that PDGFA could be a more specific and localized therapeutic target.

Survey participant demographics (total number of responses: 72).

Commented custom scripts for bioinformatics, analysis and producing figures. See Readme.txt file for a full description of each script.

Data used to compare gene vs domain based methods found in figure 5

Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.

• Not available on www.mooc-list.com before July 28, 2014.** This course had no available session at the time we checked its Coursera homepage (September 13, 2014).Existing and upcoming MOOCs on bioinformatics and computational biology.

Bioinformatics Market Outlook

The global bioinformatics market size was projected at $10.4 billion in 2023 and is anticipated to grow to $24.8 billion by 2032, with a compound annual growth rate (CAGR) of 10.2%. This rapid growth is primarily attributed to the increasing demand for bioinformatics tools in genomics and proteomics research, thereby enhancing data interpretation and analysis capabilities. Additionally, the surge in the adoption of cloud-based solutions and the increasing volume of biological data generated through research activities are key factors driving the market growth. Furthermore, the rising emphasis on precision medicine and personalized healthcare approaches plays a significant role in the expansion of this market.

One of the major growth factors driving the bioinformatics market is the vast amount of biological data being generated, necessitating advanced data analysis and management tools. The advent of next-generation sequencing technologies has revolutionized genetic research, leading to exponential data generation. Bioinformatics provides the necessary computational solutions to manage, analyze, and interpret this data efficiently. Moreover, the increasing collaboration between biological scientists and computer experts is further accelerating the development of novel bioinformatics tools, enhancing their application across various domains. This interdisciplinary approach is not only improving research outcomes but also facilitating the discovery of new biological insights.

Another significant growth driver is the rising investment in research and development in the field of genomics and proteomics. Governments and private organizations across the globe are investing heavily in life sciences research to understand complex biological processes and diseases better. These investments are expected to increase the demand for sophisticated bioinformatics tools and services. Additionally, the integration of artificial intelligence and machine learning with bioinformatics is opening new avenues for research, enabling more precise data analysis and prediction models. This technological convergence is expected to provide significant growth opportunities for the bioinformatics market during the forecast period.

The increasing prevalence of chronic diseases and the growing need for personalized medicine are also contributing to the expansion of the bioinformatics market. Personalized medicine, which tailors healthcare to individual patients, relies heavily on bioinformatics to analyze genetic information and develop targeted therapies. As healthcare systems worldwide shift towards more personalized approaches, the demand for bioinformatics solutions is expected to rise significantly. Moreover, bioinformatics plays a crucial role in drug discovery and development processes, providing insights that accelerate the identification of potential drug targets and biomarkers.

The role of Life Sciences Software in the bioinformatics market is becoming increasingly prominent as researchers and healthcare providers seek more sophisticated tools to manage and analyze complex biological data. These software solutions are essential for processing the vast amounts of data generated by modern research techniques, such as next-generation sequencing and mass spectrometry. By providing robust data management and analysis capabilities, Life Sciences Software enables researchers to gain deeper insights into genetic and proteomic information, facilitating the discovery of new therapeutic targets and the development of personalized medicine approaches. As the demand for precision medicine continues to grow, the importance of Life Sciences Software in bioinformatics is expected to rise, driving innovation and market expansion.

Regionally, North America holds the largest share of the bioinformatics market due to the presence of a well-established healthcare infrastructure and significant investments in biotechnological research. The region is home to several leading bioinformatics companies and research institutions, which are at the forefront of innovation and technological advancements. Additionally, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by increasing government funding for genomics research and the growing adoption of bioinformatics in emerging economies like China and India. The expansion of biopharmaceutical industries and a rising focus on precision medicine in these regions are further contributing to market growth.

Pro

Metabarcoding provides a powerful tool for investigating biodiversity and trophic interactions, but the high sensitivity of this methodology makes it vulnerable to errors, resulting in artefacts in the final data. Metabarcoding studies thus often utilise minimum sequence copy thresholds (MSCTs) to remove artefacts that remain in datasets; however, there is no consensus on best practice for the use of MSCTs. To mitigate erroneous reporting of results and inconsistencies, this study discusses and provides guidance for best-practice filtering of metabarcoding data for the ascertainment of conservative and accurate data. The most common MSCTs identified in the literature were applied to example datasets of Eurasian otter (Lutra lutra) and cereal crop spider (Araneae: Linyphiidae and Lycosidae) diets. Changes in both the method and threshold value considerably affected the resultant data. Of the MSCTs tested, it was concluded that the optimal method for the examples given combined a sample-b...

This dataset contains scripts and code that can be used to compare metabarcoding pipelines using a fungal mock community. These bioinformatics scripts were applied to the sequences available at https://doi.org/10.15454/8CVWRR (Pauvert et al. Bioinformatics matters: the accuracy of plant and soil community data is highly dependent on the metabarcoding pipeline. Submitted). They can be used to compare the performance of 360 software and parameter combinations. They are based on several softwares, including USEARCH (Edgar 2010), VSEARCH (Rognes et al. 2016) and DADA2 (Callahan et al. 2016). The code corresponds mainly to bash scripts and R files. README files are provided for clarity.

Bioinformatics Market Outlook

According to our latest research, the global bioinformatics market size reached USD 16.2 billion in 2024, reflecting robust industry momentum. The market is exhibiting a healthy compound annual growth rate (CAGR) of 13.1% and is projected to attain a value of USD 42.7 billion by 2033. This vigorous expansion is driven by the rapid integration of computational tools in life sciences, accelerating advancements in genomics, proteomics, and drug discovery. The increasing demand for personalized medicine and the surge in big data analytics within biological research are pivotal growth factors shaping the bioinformatics landscape.

One of the principal growth factors fueling the bioinformatics market is the explosive rise in genomics research, particularly in the context of next-generation sequencing (NGS) technologies. The cost of sequencing has plummeted over the past decade, making large-scale genomic projects more accessible to both public and private sector entities. This democratization of sequencing technology has led to a significant influx of biological data, necessitating sophisticated bioinformatics tools for analysis, interpretation, and storage. The development of cloud-based bioinformatics platforms further enables researchers to manage and analyze vast datasets efficiently, fostering greater collaboration and innovation in genomics-driven healthcare, agriculture, and environmental sciences.

Another critical driver is the increasing adoption of bioinformatics in drug discovery and development. Pharmaceutical and biotechnology companies are leveraging bioinformatics solutions to accelerate target identification, drug candidate screening, and biomarker discovery. The integration of artificial intelligence (AI) and machine learning algorithms within bioinformatics workflows is enhancing the predictive accuracy of drug response models and facilitating the identification of novel therapeutic targets. This not only shortens the drug development lifecycle but also reduces costs and improves the likelihood of clinical success. As precision medicine gains traction, bioinformatics is becoming indispensable in tailoring treatments based on individual genetic profiles, further propelling market growth across the healthcare sector.

The expanding application of bioinformatics beyond human health is another significant growth factor. In agriculture, bioinformatics is instrumental in crop improvement, pest resistance, and livestock management through the analysis of genomic and phenotypic data. Environmental biotechnology also benefits from bioinformatics in monitoring biodiversity, tracking pathogen outbreaks, and assessing ecosystem health. Moreover, forensic biotechnology utilizes bioinformatics for DNA profiling and criminal investigations. These diverse applications underscore the versatility and critical importance of bioinformatics across multiple sectors, driving sustained investment and innovation in the market.

From a regional perspective, North America continues to dominate the global bioinformatics market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major industry players, significant government funding for genomics research, and a well-established healthcare infrastructure. Europe follows closely, supported by strong academic research and collaborative initiatives such as the European Bioinformatics Institute. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rising investments in life sciences, expanding biotechnology industries, and increasing adoption of digital health solutions. Latin America and the Middle East & Africa are also emerging as promising markets, albeit at a comparatively nascent stage, driven by growing awareness and infrastructural improvements.

Product & Service Analysis

The bioinformatics market by product & service is segmented into software, hardware, and services, each playing a pivotal role in driving the