report cover1

Bioinformatics Market - Global Industry, Analysis, Size, Share, Growth, Trends, and Forecasts 2023-2030

Bioinformatics is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when data sets are large and complex. Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics, and statistics to analyze and interpret biological data. The subsequent process of analyzing and interpreting data is referred to as computational biology. The first definition of the term bioinformatics was coined by Paulien Hogweg and Ben Hesper in 1970, to refer to the study of information processes in biotic systems. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human genome project and by rapid advances in DNA sequencing technology.

Image and signal processing allow the extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. Bioinformatics includes text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in comparing, analyzing, and interpreting genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. Software tools for bioinformatics include simple command-line tools, more complex graphical programs, and standalone web services. They are made by bioinformatics companies or by public institutions.

Global Bioinformatics Market – Competitive Landscape

On October 25, 2023, Two Bear Capital expands its Silicon Valley Team as VC Firm pursues new opportunities in Biotechnology, Bioinformatics, Healthcare IT, Machine Learning, and AI. On November 3, 2022, Arima Genomics announced a new partnership with Basepair to accelerate bioinformatics analysis of 3D genomics data.  On May 30, 2022, MedGenome raised USD 50 million to expand its global footprint. On September 28, 2021, Federated Genomics data startup Lifebit raised a USD 60 million round led by Tiger Global. On October 8, 2020, Walther Cancer Foundation Invested USD 11 million to expand the IU-Purdue bioinformatics collaboration.

Some of the Key Players in the Global Bioinformatics Market Include –

  • InSyBio
  • I-Ab
  • BiomeSense
  • ai
  • OSbiome
  • FlowIntell
  • Regeneration Health
  • BatchX Inc
  • Biomage

Global Bioinformatics Market – Growth Drivers

The rising volume of genomic data from various research activities, including DNA sequencing and gene expression studies, is a key driver for the growth of the global bioinformatics market. According to National Human Genome Research, about 220 million genomes (40 Exabytes) are produced per year. That genomics research will generate between 2 and 40 exabytes of data within the next decade. Continuous improvement in NGS technologies contributes to the growth by enabling faster and more cost-effective sequencing, driving demand for advanced bioinformatics tools to analyze complex genomic data. The growing emphasis on personalized medicine, driven by advancements in understanding individual genetic variations, boosts the demand for bioinformatics tools to interpret and apply genomic information for tailored medical treatments. Bioinformatics plays a crucial role in accelerating drug discovery and development processes by analyzing biological data and drug interactions and optimizing therapeutic outcomes. The healthcare industry’s increasing reliance on big data analytics for insights into disease patterns, patient outcomes, and treatment effectiveness drives the demand for bioinformatics solutions capable of handling and interpreting large-scale biological datasets. Collaboration between bioinformatics companies, pharmaceutical firms, and research institutions fosters innovation and drives market growth by combining expertise in bioinformatics with domain-specific knowledge. Integrating bioinformatics tools with cloud computing facilities efficient data storage processing, and collaboration, offering scalability and accessibility that contribute to the market’s expansion.

Global Bioinformatics Market – Restraints

The increasing volume of sensitive biological and genomic data raises concerns about data security and privacy, posing a significant restraint to the widespread adoption of bioinformatics solutions. According to the National Center for Biotechnology Information (NCBI), the volume of genomic data by YouTube has currently 300 hours of video being uploaded every minute ( 1-2 exabytes of video data per year) By 2025, Twitter will generate 500 million tweets/day each about 3 kilobyte. The absence of standardized formats for genomic data and analysis methods hampers interoperability among different bioinformatics platforms, leading to challenges in data integration and collaboration. The initial investment and ongoing costs associated with implementing and maintaining bioinformatics infrastructure, including computational resources and skilled personnel, can be a barrier for smaller research institutions and companies. The complex nature of bioinformatics requires skilled professionals, and there is a shortage of trained personnel, leading to a talent gap that can impede the effective utilization of bioinformatics tools and technologies. The complexity of biological data, especially in fields like system biology, creates bottlenecks in data analysis, requiring sophisticated algorithms and computational resources that may not be readily available or accessible.

Global Bioinformatics Market – Opportunities

The increasing focus on personalized medicine creates opportunities for bioinformatics to play a pivotal role in tailoring treatments based on individual genetic profiles, driving demand for advanced analysis tools and interpretation services. Bioinformatics offers opportunities for enhanced diagnostic capabilities, such as biomarker discovery and disease prediction, contributing to the growth of bioinformatics applications in clinical settings. Integrating AI and ML technologies in bioinformatics provides opportunities for more efficient data analysis, pattern recognition, and accuracy and speed of genomic data interpretation. Bioinformatics enables the identification of potential drug targets and the repurposing of existing drugs, presenting opportunities to accelerate drug development processes and reduce costs.

Global Bioinformatics Market – Geographical Insight

The market for global bioinformatics market is segmented into the regions such as North America, Latin America, Europe, Asia-Pacific, the Middle East, & Africa. North America is the largest market for bioinformatics due to renowned academic and research institutions actively engaged in genomics and bioinformatics, fostering innovation and technological advancements. Europe is a key player market for bioinformatics due to growing research collaborations, especially in the fields of genomics, personalized medicine, and drug discovery. Asia-Pacific is a rapidly expanding market for bioinformatics due to increasing investments in life sciences research, rising awareness of genomics, and a growing emphasis on precision medicine.

Global Bioinformatics Market – Key Development

  • On November 3, 2023, Allelica Launched the Allelica precision server, an on-premises solution for clinical bioinformatics analyses.
  • On October 31, 2023, Lonpath launched MIBIplus and MIBIsight, a new service offering and user-friendly bioinformatics tools, at SITC 2023.
  • On July 28, 2023, FOXO Technologies Launched bioinformatics services and hopes to revolutionize epigenetic data.
  • On April 14, 2023, IP University launched courses in Bioinformatics.
  • On April 3, 2023, Africa CDC launched a pathogen genomics and bioinformatics fellowship program.
  • On September 21, 2022, BioBam released OmicsBox 2.2, the latest bioinformatics software solution.
Complete the form below and we'll get back to you shortly
Table of Content
Complete the form below and we'll get back to you shortly

Research Methodology: Aspects

Market research is a crucial tool for organizations aiming to navigate the dynamic landscape of customer preferences, business trends, and competitive landscapes. At Cognizance Market Research, acknowledging the importance of robust research methodologies is vital to delivering actionable insights to our clientele. The significance of such methodologies lies in their capability to offer clarity in complexity, guiding strategic management with realistic evidence rather than speculation. Our clientele seek insights that excel superficial observations, reaching deep into the details of consumer behaviours, market dynamics, and evolving opportunities. These insights serve as the basis upon which businesses craft tailored approaches, optimize product offerings, and gain a competitive edge in an ever-growing marketplace.

The frequency of information updates is a cornerstone of our commitment to providing timely, relevant, and accurate insights. Cognizance Market Research adheres to a rigorous schedule of data collection, analysis, and distribution to ensure that our reports reflect the most current market realities. This proactive approach enables our clients to stay ahead of the curve, capitalize on emerging trends, and mitigate risks associated with outdated information.

Our research process is characterized by meticulous attention to detail and methodological rigor. It begins with a comprehensive understanding of client objectives, industry dynamics, and research scope. Leveraging a combination of primary and secondary research methodologies, we gather data from diverse sources including surveys, interviews, industry reports, and proprietary databases. Rigorous data analysis techniques are then employed to derive meaningful insights, identify patterns, and uncover actionable recommendations. Throughout the process, we remain vigilant in upholding the highest standards of data integrity, ensuring that our findings are robust, reliable, and actionable.

Key phases involved in in our research process are mentioned below:


Understanding Clients’ Objectives:

Extensive Discussions and Consultations:

  • We initiate in-depth discussions and consultations with our clients to gain a comprehensive understanding of their objectives. This involves actively listening to their needs, concerns, and aspirations regarding the research project.
  • Through these interactions, we aim to uncover the underlying motivations driving their research requirements and the specific outcomes they hope to achieve.

Industry and Market Segment Analysis:

  • We invest time and effort in comprehensively understanding our clients’ industry and market segment. This involves conducting thorough research into market trends, competitive dynamics, regulatory frameworks, and emerging opportunities or threats.
  • By acquiring a deep understanding of the broader industry landscape, we can provide context-rich insights that resonate with our clients’ strategic objectives.

Target Audience Understanding:

  • We analyze our clients’ target audience demographics, behaviors, preferences, and needs to align our research efforts with their consumer-centric objectives. This entails segmenting the audience based on various criteria such as age, gender, income level, geographic location, and psychographic factors.
  • By understanding the nuances of the target audience, we can tailor our research methodologies to gather relevant data that illuminates consumer perceptions, attitudes, and purchase intent.


Identifying Challenges and Opportunities:

  • We proactively identify the challenges and opportunities facing our clients within their respective industries. This involves conducting SWOT (Strengths, Weaknesses, Opportunities, Threats) analyses and competitive benchmarking exercises.
  • By identifying potential obstacles and growth drivers, we can provide strategic recommendations that help our clients navigate complexities and capitalize on emerging opportunities effectively.

Grasping Specific Goals:

  • We delve into the intricacies of our clients’ objectives to gain clarity on the specific goals they aim to accomplish through the research. This entails understanding their desired outcomes, such as market expansion, product development, or competitive analysis.
  • By gaining a nuanced understanding of our clients’ goals, we can tailor our research approach to address their unique challenges and opportunities effectively.

Data Collection:


Primary Research Process:

  • Surveys: We design and administer surveys tailored to capture specific information relevant to our clients’ objectives. This may involve employing various survey methodologies, such as online, telephone, or face-to-face interviews, to reach target audiences effectively.
  • Interviews: We conduct structured or semi-structured interviews with key stakeholders, industry experts, or target consumers to gather in-depth insights and perspectives on relevant topics. These interviews allow us to probe deeper into specific issues and uncover valuable qualitative data.
  • Focus Groups: We organize focus group discussions with carefully selected participants to facilitate interactive discussions and gather collective opinions, attitudes, and preferences. This qualitative research method provides rich contextual insights into consumer behaviors and perceptions.
  • Observations: We conduct observational research by directly observing consumer behaviors, interactions, and experiences in real-world settings. This method enables us to gather objective data on consumer actions and reactions without relying on self-reported information.

Secondary Research Process:

  • Literature Review: We conduct comprehensive literature reviews to identify existing studies, academic articles, and industry reports relevant to the research topic. This helps us gain insights into previous research findings, theoretical frameworks, and best practices.
  • Industry Reports: We analyze industry reports published by reputable trade associations (whitepapers, research studies, etc.), and government agencies (U.S. Census Bureau, Bureau of Labor Statistics, and Securities and Exchange Commission etc.) to obtain macro-level insights into market trends, competitive landscapes, and industry dynamics.
  • Government Publications: We review government publications, such as economic reports, regulatory documents, and statistical databases, to gather relevant data on demographics, market size, consumer spending patterns, and regulatory frameworks.
  • Online Databases: We leverage online databases, such as industry portals, and academic repositories (PubMed Central (PMC), ScienceDirect, SSRN (Social Science Research Network), Directory of Open Access Journals (DOAJ), NCBI, etc.), to access a wide range of secondary data sources, including market statistics, financial data, and industry analyses.



Data Analysis:

The data analysis phase serves as a critical juncture where raw data is transformed into actionable insights that inform strategic decision-making. Through the utilization of analytical methods such as statistical analysis and qualitative techniques like thematic coding, we uncover patterns, correlations, and trends within the data. By ensuring the integrity and validity of our findings, we strive to provide clients with accurate and reliable insights that accurately reflect the realities of the market landscape.


Transformation of Raw Data:

  • Upon collecting the necessary data, we transition into the data analysis phase, where raw data is processed and transformed into actionable insights. This involves organizing, cleaning, and structuring the data to prepare it for analysis.

Utilization of Analytical Methods:

  • Depending on the research objectives, we employ a diverse range of analytical methods to extract meaningful insights from the data. These methods include statistical analysis, trend analysis, regression analysis, and qualitative coding.

Statistical Analysis:

  • Statistical tools are instrumental in uncovering patterns, correlations, and trends within the data. By applying statistical techniques such as descriptive statistics, hypothesis testing, and multivariate analysis, we can discern relationships and derive valuable insights.

Qualitative Analysis Techniques:

  • In addition to quantitative analysis, we leverage qualitative analysis techniques to gain deeper insights from qualitative data sources such as interviews or open-ended survey responses. One such technique is thematic coding, which involves systematically categorizing and interpreting themes or patterns within qualitative data.

Integrity and Validity Maintenance:

  • Throughout the analysis process, we maintain a steadfast commitment to upholding the integrity and validity of our findings. This entails rigorous adherence to established methodologies, transparency in data handling, and thorough validation of analytical outcomes.

Data Validation:

The final phase of our research methodology is data validation, which is essential for ensuring the reliability and credibility of our findings. Validation involves scrutinizing the collected data to identify any inconsistencies, errors, or biases that may have crept in during the research process. We employ various validation techniques, including cross-referencing data from multiple sources, conducting validity checks on survey instruments, and seeking feedback from independent experts or peer reviewers. Additionally, we leverage internal quality assurance protocols to verify the accuracy and integrity of our analysis. By subjecting our findings to rigorous validation procedures, we instill confidence in our clients that the insights they receive are robust, reliable, and trustworthy.


Importance of Data Validation:

  • Data validation is the final phase of the research methodology, crucial for ensuring the reliability and credibility of the findings. It involves a systematic process of reviewing and verifying the collected data to detect any inconsistencies, errors, or biases.

Scrutiny of Collected Data:

  • The validation process begins with a thorough scrutiny of the collected data to identify any discrepancies or anomalies. This entails comparing data points, checking for outliers, and verifying the accuracy of data entries against the original sources.

Validation Techniques:

  • Various validation techniques are employed to ensure the accuracy and integrity of the data. These include cross-referencing data from multiple sources to corroborate findings, conducting validity checks on survey instruments to assess the reliability of responses, and seeking feedback from independent experts or peer reviewers to validate the interpretation of results.

Internal Quality Assurance Protocols:

  • In addition to external validation measures, internal quality assurance protocols are implemented to further validate the accuracy of the analysis. This may involve conducting internal audits, peer reviews, or data validation checks to ensure that the research process adheres to established standards and guidelines.
- Get Started -

Get insights that lead to new growth opportunities

Need a Custom Report?

We can customize every report – free of charge – including purchasing stand-alone sections or country-level reports

Want to Buy a Report but have a Limited Budget?

We help clients to procure the report or sections of the report at their budgeted price. Kindly click on the below to avail

Business Development

small c popup.png
Buy Now
small c popup.png
Complete the form below and we'll get back to you shortly
small c popup.png
Complete the form below and we'll get back to you shortly
small c popup.png
Complete the form below and we'll get back to you shortly
Ask an Expert