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    Artificial Intelligence In Bioinformatics Market

    ID: MRFR/HCIT/20635-HCR
    144 Pages
    Rahul Gotadki
    September 2025

    Artificial Intelligence in Bioinformatics Market Research Report By Application (Drug Discovery & Development, Transcriptomics, Genomics Analysis, Proteomics Analysis, Metabolomics Analysis, DNA Sequencing, and Others), By Offering (Software, Services), By Deployment Mode (On-Premise, Cloud-Based), By End User (Pharmaceutical and Biotechnology Companies, Research Institutions, CDMO & CROs, Others) and By Regional (North America, Europe, South America, Asia-Pacific, Middle East, and Africa) - Forecast to 2034

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    Artificial Intelligence In Bioinformatics Market Summary

    The Global Artificial Intelligence in Bioinformatics Market is projected to grow significantly from 8.76 USD Billion in 2024 to 38.0 USD Billion by 2035.

    Key Market Trends & Highlights

    Artificial Intelligence in Bioinformatics Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 14.28% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 38.0 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 8.76 USD Billion, reflecting the increasing integration of AI technologies in bioinformatics.
    • Growing adoption of artificial intelligence due to the need for advanced data analysis is a major market driver.

    Market Size & Forecast

    2024 Market Size 8.76 (USD Billion)
    2035 Market Size 38.0 (USD Billion)
    CAGR (2025-2035) 14.28%

    Major Players

    IBM, Illumina, Thermo Fisher Scientific, QIAGEN, Agilent Technologies, Roche, BioRad Laboratories, Bionano Genomics, MGI Tech, NanoString Technologies, Oxford Nanopore Technologies, 10x Genomics, PacBio

    Artificial Intelligence In Bioinformatics Market Trends

    The Artificial Intelligence (AI) in the Bioinformatics market is poised for significant growth, driven by the rising adoption of AI technologies in healthcare and the increasing demand for personalized medicine. The market is expected to expand at a CAGR of 14.27%, reaching a market size of USD 25.5 billion by 2032. Some of the key market drivers in the AI in bioinformatics market include a higher rate of occurrence of chronic diseases, the increased necessity for early diagnosis and treatment, the fast development of AI algorithms, and computational power.

    Equally important, government policies aimed at encouraging personalized medicine and health IT are stimulating market growth.

    Opportunities for expansion are present in incorporating AI into different bioinformatics uses, including drug discovery, disease diagnosis, and customized therapy plans. In addition, AI's utilization in cloud computing and edge computing is giving birth to new prospects for its growth in the market. The most recent trends encompass AI-fueled bioinformatics platforms, machine learning employed in genetic variant interpretation, and deep learning applied to image-based diagnostics. With these advancements harnessed, the Artificial Intelligence Market will continue revolutionizing healthcare, leading to better personalized treatments and opening up new possibilities.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    The integration of artificial intelligence in bioinformatics is poised to revolutionize the field by enhancing data analysis capabilities and accelerating the discovery of novel therapeutic solutions.

    U.S. National Institutes of Health (NIH)

    Artificial Intelligence In Bioinformatics Market Drivers

    Market Growth Projections

    The Global Artificial Intelligence in Bioinformatics Market Industry is poised for substantial growth, with projections indicating a market value of 8.76 USD Billion in 2024 and an anticipated increase to 38.0 USD Billion by 2035. This growth trajectory reflects a compound annual growth rate (CAGR) of 14.28% from 2025 to 2035. The increasing integration of AI technologies in various bioinformatics applications, including genomics, drug discovery, and personalized medicine, is expected to drive this expansion. As the industry evolves, stakeholders are likely to explore innovative solutions to leverage AI's potential in addressing complex biological challenges.

    Increased Funding for AI Research

    Increased funding for artificial intelligence research is a critical driver of the Global Artificial Intelligence in Bioinformatics Market Industry. Governments and private organizations are recognizing the potential of AI to revolutionize healthcare and bioinformatics. For instance, various national initiatives are allocating substantial resources to support AI research projects aimed at improving disease diagnosis and treatment. This influx of funding is likely to foster innovation and accelerate the development of AI applications in bioinformatics. As a result, the market is expected to witness robust growth, with a projected CAGR of 14.28% from 2025 to 2035.

    Integration of AI in Drug Discovery

    The integration of artificial intelligence in drug discovery is a pivotal driver for the Global Artificial Intelligence in Bioinformatics Market Industry. AI algorithms can analyze biological data at unprecedented speeds, identifying potential drug candidates more efficiently than traditional methods. This capability not only reduces the time and cost associated with drug development but also enhances the accuracy of predictions regarding drug interactions and efficacy. As a result, the market is projected to grow significantly, with an anticipated value of 38.0 USD Billion by 2035. The ongoing collaboration between pharmaceutical companies and AI technology firms underscores the importance of this trend.

    Advancements in Computational Biology

    Advancements in computational biology are transforming the Global Artificial Intelligence in Bioinformatics Market Industry. The development of sophisticated algorithms and machine learning techniques allows researchers to model complex biological systems and predict outcomes with greater precision. For example, AI-driven simulations can elucidate protein folding processes, which are crucial for understanding diseases. This capability not only accelerates research but also enhances the potential for innovative therapeutic strategies. As computational biology continues to evolve, it is likely to attract significant investment, further driving the growth of the market.

    Rising Demand for Personalized Medicine

    The Global Artificial Intelligence in Bioinformatics Market Industry is experiencing a surge in demand for personalized medicine, driven by advancements in genomics and biotechnology. AI technologies enable the analysis of vast genomic data, facilitating tailored treatment plans for patients. For instance, AI algorithms can identify genetic mutations that influence drug responses, enhancing therapeutic efficacy. This trend is expected to contribute to the market's growth, with projections indicating a market value of 8.76 USD Billion in 2024. The increasing focus on precision medicine is likely to propel investments in AI-driven bioinformatics solutions, thereby expanding the market further.

    Growing Data Availability and Accessibility

    The growing availability and accessibility of biological data are significantly influencing the Global Artificial Intelligence in Bioinformatics Market Industry. The proliferation of genomic sequencing technologies and biobanks has resulted in an unprecedented volume of biological data. AI technologies can harness this data to uncover patterns and insights that were previously unattainable. For example, large-scale genomic datasets can be analyzed to identify biomarkers for diseases, enhancing diagnostic capabilities. This trend is likely to drive the adoption of AI solutions in bioinformatics, contributing to the market's expansion.

    Market Segment Insights

    Artificial Intelligence in Bioinformatics Application Insights

    The Artificial Intelligence in Bioinformatics Market segmentation by Application is expected to reach a value of USD 10.2 billion by 2027, exhibiting a CAGR of 12.5% during the forecast period (2025-2034). Drug Discovery is a major application of AI in bioinformatics, with a market size of USD 2.5 billion in 2023 and an expected growth of USD 5.2 billion by 2027. AI can be used to analyze large datasets of biological data, including genomics, proteomics, and metabolomics data, to identify potential drug targets and develop new drugs more quickly and efficiently.

    Biomarker Identification is another important application of AI in bioinformatics, with a market size of USD 1.8 billion in 2023 and an expected growth of USD 3.6 billion by 2027. AI can be used to identify biomarkers that can be used to diagnose diseases earlier and more accurately, as well as to develop personalized treatments. Genomics Analysis is a rapidly growing application of AI in bioinformatics, with a market size of USD 1.5 billion in 2023 and an expected growth of USD 2.9 billion by 2027.

    AI can be used to analyze large datasets of genomic data to identify genetic variants that are associated with diseases and to develop new treatments for genetic diseases.

    Proteomics Analysis is another important application of AI in bioinformatics, with a market size of USD 1.2 billion in 2023 and an expected growth of USD 2.3 billion by 2027. AI can be used to analyze large datasets of proteomics data to identify proteins that are associated with diseases and to develop new treatments for diseases that are caused by protein dysfunction. Metabolomics Analysis is a rapidly growing application of AI in bioinformatics, with a market size of USD 1.0 billion in 2023 and an expected growth of USD 2.0 billion by 2027.

    AI can be used to analyze large datasets of metabolomics data to identify metabolites that are associated with diseases and to develop new treatments for diseases that are caused by metabolic disorders.

    Artificial Intelligence in Bioinformatics Deployment Mode Insights

    On the basis of deployment mode, Artificial Intelligence in Bioinformatics Market can be categorized into cloud-based and on-premise. The bioinformatics field is witnessing widespread acceptance of cloud computing, a development that may have the cloud-based category controlling most of the market by 2023. All this has been possible thanks to cloud-based deployments, which are cost-effective, flexible, and scalable, among other benefits. Moreover, as they are web-based AI-driven bioinformatics tools and applications for planet-wide use, they do not call for any on-site infrastructure or maintenance.

    However, it is anticipated that there will be a sluggish growth rate in the on-premise segment during the forecast period. On-premise deployments offer greater control and data security, particularly when supporting sensitive bioinformatics software.

    Nevertheless, some firms might find it costly to set up and maintain infrastructure. In general, organizations will focus on deploying this technology through cloud-based methods since they want to enjoy its advantages, such as the low costs associated with procuring hardware and software, among others, in their bioinformatics requirements.

    Artificial Intelligence in Bioinformatics End User Insights

    One of the key benefits of Artificial Intelligence in Bioinformatics Market is that it has been adopted by top-end users such as pharmaceutical and biotechnology companies, research institutes, CDMOs & CROs, etc., as a major tool. The Application of AI in drug discovery or development has made pharmaceutical and biotechnology companies dominate the market extensively. The global artificial intelligence bioinformatics market revenue was valued at USD 7.67 billion in 2023. This gives rise to an increased adoption of AI as a means of analysis and interpretation to drive the market.

    AI is necessary for healthcare providers since it improves patient care in personalized medicine and early disease detection. To expand the market, governments invest in AI as part of public health initiatives. This industry's growth and innovation are driven by its adaptability to various end-users within bioinformatics, such as AI, based on different types of data sets across all types of medical information system users.

    Get more detailed insights about Artificial Intelligence In Bioinformatics Market Research Report — Global Forecast till 2034

    Regional Insights

    North America is anticipated to be the market leader in the region, and it will take up a sizeable amount by 2023. This region’s domination is due to having major technology players, advanced healthcare infrastructure developments, and AI-based surrogates in the biotechnology industry. Europe will come second because of increased spending on AI research and development as well as other government incentives that also support their use in healthcare and life sciences industries.

    The APAC region will experience outstanding growth during the forecast period compared to other regions, mainly due to an increase in personalized medicine demand, high healthcare costs, and government support for AI adoption into medical practice.

    Nevertheless, South America and MEA are projected to have lower contributions towards the whole market, but they are forecasted to grow at considerable rates owing to advances made in AI-based drug discovery and precision medicines.

    Artificial Intelligence in Bioinformatics Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    Artificial intelligence in Bioinformatics market has been dominated by key players who are always striving to be ahead of their competitors through the creation of new products and solutions. The leading players in the Artificial intelligence bioinformatics market heavily invest in R&D so as to stay ahead of the current and adapt to the changing needs of customers. Strategic collaborations, partnerships, and acquisitions are among the characteristics that define the development landscape of Artificial Intelligence in Bioinformatics Market as firms seek to expand their portfolios, reach into new technologies, and explore new markets.

    IBM is one of the major players in the Artificial Intelligence in Bioinformatics Market. Watson for Genomics represents a comprehensive portfolio of AI-enabled bioinformatics tools developed by IBM. It helps researchers process enormous genomics data sets. IBM has a strong presence across healthcare and life sciences industries, thus leveraging its domain expertise to drive AI adoption in bioinformatics. Another key player within this industry is Illumina, which is an AI-based high-throughput sequencing provider with various supportive genomic research tools they developed.

    The main objective behind developing these AI-based approaches at Illumina includes identifying genetic variations, analyzing gene expression data, and coming up with personalized medications.

    Thermo Fisher Scientific, QIAGEN, and Agilent Technologies are also other significant participants of Artificial Intelligence in Bioinformatics Market besides IBM and Illumina. These firms provide a wide array of AI-driven bioinformatic solutions that include analytics tools for drug discovery or precision medicine. There is stiff competition among these companies, so they constantly innovate to avoid being outdone.

    Key Companies in the Artificial Intelligence In Bioinformatics Market market include

    Industry Developments

    To sum up, the adoption of AI in life sciences and healthcare will drive AI bioinformatics market growth significantly in the next few years. Increased database availability is among the major factors that are increasing market expansion. Moreover, the rise in cases of chronic ailments and individualized medication are also some of the drivers of this industry.

    Of note, there have been recent changes that have led to the Introduction of new bioinformatics platforms based on AI. For instance, in 2023, IBM and Recursion Pharmaceuticals joined forces to use artificial intelligence (AI) in searching for drugs that can cure various rare diseases.

    Major companies such as Microsoft, Google, Amazon, Oracle, and IBM are among the notable players here. These firms have made considerable investments towards developing AI-driven innovative bioinformatics solutions through research and development activities.

    Future Outlook

    Artificial Intelligence In Bioinformatics Market Future Outlook

    The Artificial Intelligence in Bioinformatics Market is projected to grow at a 14.28% CAGR from 2024 to 2035, driven by advancements in data analytics, personalized medicine, and genomic research.

    New opportunities lie in:

    • Develop AI-driven platforms for real-time genomic data analysis to enhance precision medicine.
    • Create partnerships with pharmaceutical companies for AI applications in drug discovery.
    • Invest in AI algorithms for predictive modeling in disease outbreaks and epidemiology.

    By 2035, the market is expected to be a pivotal component of bioinformatics, driving innovation and efficiency.

    Market Segmentation

    Artificial Intelligence in Bioinformatics End User Outlook

    • Pharmaceutical & Biotechnology Companies
    • Academic & Research Institutes
    • CDMO & CROs
    • Others

    Artificial Intelligence in Bioinformatics Regional Outlook

    • North America
    • Europe
    • South America
    • Asia-Pacific
    • Middle East and Africa

    Artificial Intelligence in Bioinformatics Application Outlook

    • Drug Discovery
    • Biomarker Identification
    • Genomics Analysis
    • Proteomics Analysis
    • Metabolomics Analysis

    Artificial Intelligence in Bioinformatics Data Offering Outlook

    • Software
    • Services

    Artificial Intelligence in Bioinformatics Deployment Mode Outlook

    • On-Premise
    • Cloud-Based

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024    8.76 (USD Billion)
    Market Size 2025   10.02 (USD Billion)
    Market Size 2034   33.28 (USD Billion)
    Compound Annual Growth Rate (CAGR)   14.27 % (2025 - 2034)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2034
    Historical Data 2020 - 2024
    Market Forecast Units USD Billion
    Key Companies Profiled Roche, Illumina, Agilent Technologies, BioRad Laboratories, QIAGEN, Bionano Genomics, MGI Tech, NanoString Technologies, Oxford Nanopore Technologies, 10x Genomics, Thermo Fisher Scientific, PacBio
    Segments Covered Application, Deployment Mode, Data Source, Function, End User, Regional
    Key Market Opportunities Drug Discovery Precision Medicine Genomics Bioinformatics Healthcare
    Key Market Dynamics Growing demand for personalized medicine, Advancements in computing technologies Increasing adoption of cloud-based solutions, Growing focus on precision medicine and Government initiatives supporting AI research
    Countries Covered North America, Europe, APAC, South America, MEA

    FAQs

    How fast is the Artificial Intelligence in Bioinformatics Market?

    This is projected to reach approximately USD 33.28 bn by 2034, growing at a CAGR of about 14.27% from 2025-2034.

    What are some applications of Artificial Intelligence in Bioinformatics?

    These include diverse areas such as drug discovery, disease diagnosis, personalized medicine, and bioinformatics research.

    What are the major regions involved in the Artificial Intelligence in Bioinformatics Market?

    The largest market share should be expected for North America, followed by Europe and Asia-Pacific, but during the forecast period, it is also anticipated that the latter will grow with a high CAGR.

    Who are the key players in the Artificial Intelligence in Bioinformatics Market?

    Major rivals include IBM, Google, Microsoft, Amazon and Oracle.

    What challenges need to be addressed by stakeholders about artificial intelligence technology used as applied to bioinformatics?

    To mention a few problems here, we may note the absence of well-trained AI experts, the high utilization costs associated with AI, and the ethical issues relating to the medical use of AI.

    What are some trends seen in the Artificial Intelligence in Bioinformatics Market?

    This includes increased adoption of cloud-based AI platforms, the Introduction of new AI algorithms, and the rise in AI use for precision medicine.

    What opportunities can be observed for participants within the global artificial intelligence market for bioinformatics?

    It is worth mentioning such issues as increasing demand for personalized medicine, fast growth rates on drug discovery with respect to usage of AI technologies, and the emergence of novel tools containing elements of AI into bioinformatic studies as well – all this gives other answers concerning prospective development rates for this market segment effectively guided towards finding hope for potential success among newbies entering or those already operating here themselves.

    Point out what growth rate is projected for global artificial intelligence (AI) technology used specifically for bioinformatic analysis within 2032, according to this source.

    Global market size will reach 25.5 million USD by 2032 from an estimated 16 billion USD at a CAGR of 14% up until the end of year 2023.

    List three factors that drive global AI in Bioinformatics market.

    The surging demand for personalized drugs is resulting from the widespread adoption of various healthcare systems alongside an increasing number of health problems requiring individual approaches. The growing application sphere includes new AI-based bioinformatics tools and the increasing use of AI in healthcare.

    Identify the three main obstacles that companies will face as they expand into new markets.

    Lack of trained, skilled AI professionals, the cost of implementing AI is high, and there are ethical issues related to using it in the medical field.

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