Market Overview

Global AI In Bioinformatics Market size is expected to be worth around USD 136.3 Million by 2033, from USD 3.8 Million in 2023, growing at a CAGR of 42.9% during the forecast period from 2024 to 2033.

The AI bioinformatics market is the industry segment where artificial intelligence (AI) technologies—e.g., machine learning (ML), deep learning, and natural language processing (NLP)—are combined with bioinformatics to improve data analysis, predictive modelling, and decision-making in medical and biological research.

Bioinformatics is a branch that deals with the analysis of sequences, i.e., to identify the function of biological molecules by using computer programming, big data and molecular biology, which allows the scientists to comprehend and recognize patterns in biological data. The discipline also assists the scientists in arranging bulky amount of data by analyzing genomes and DNA sequencing. The most important reason for the need to apply bioinformatics is rising demand for infant nutrition food owing to the change in lifestyles together with increasing numbers of working women around the world. Only 39 to 40% of infants are breastfed all over the world, stated by World Health Organization.

Artificial intelligence (AI) in bioinformatics is aggressively driven with an increase in the number of market players along with the sophisticated services being offered. Additionally, the manufacturers have a sharp interest in R&D activities with the objective to introduce new technologies into the market. The market success rate over the past few years is also contributed by the reduction in generic sequences costs along with the rising healthcare spending for offering adequate health services.

Key Findings:

• By analysis, the service segment dominantly had a 57.8% market share in 2023.
• By type analysis, machine learning led the Al in bioinformatics market globally and has 49.3% market share in 2023.
• Based on product and services, the market earns huge profits regarding the bioinformatics service segment which has 61.5% share in 2023.
• With applications, genomic segments dominate the market due to scaling benefits it contains in relation to other segments and takes up 27.7% of the market share in 2023.
• In terms of sector, the medical biotechnology segment dominated the market by claiming a phenomenal revenue share of 38.4% in 2023.
• North America emerged as a leading contender in the world AI in bioinformatics market with over 46.5% share and retains USD 1.7 million market worth in the year in 2023.

Market Drivers

Rising ultimatum for bioinformatics

• The growing need for bioinformatics plays a significant role in propelling the market of AI in bioinformatics to a surprising extent. This is attributable to widespread adoption of informatics in biological sciences, including biologists who come to study computer programming or programmers, database experts and mathematicians to learn knowledge of biology's foundation. Besides, as genomics becomes more intensified, critical chronic diseases like cancer are treated with the help of pharmacology, where next generation sequencing have a central role in offering a deeper and precise view of molecular field of individual tumours and particular receptors. With this, next generation sequencing has effectively lowered sequencing costs. For example, Illumina has made bioinformatics instrumentation cheaper through regular innovations so that the USD 1000 human genome.

Market Opportunities

The market for AI in bioinformatics gains immense growth opportunities with the escalating initiatives including product launches

• collaborations, mergers, and acquisitions over the years, resulting in increased quality of research. In addition, the developments achieved in AI based bioinformatics lowered the cost of bioinformatics platforms and equipment, enabling the healthcare laboratories to bear the necessary tasks. Therefore, these aspects result in further development in the concerned field acquiring highly innovative products and results, thus increasing the market reach.

Latest Trends

Single-cell analysis

It produces heavy amount of data using single cell sequencing technologies to reveal secrets of cellular heterogenicity along with mechanism of disease. Single cell data analysis with the process of clustering cells is widely used by Al algorithm. The analysis relies heavily on gene expression profiles for cell type identification and cell lineage reconstruction.

Data Integration and Interpretation

An increasing demand for Al tools in direct proportion to mounting volume and complexity of biological data. These Al tools can analyse and interpret various datasets from the fields of metabolomics, genomics and proteomics. Additionally, to pull out useful information from biomedical articles, Al tools are heavily utilized, for instance, Natural Language Processing (NLP).

Impact of Macroeconomic factors

The bioinformatics AI market is significantly influenced by population trends such as increasing aging population along with the spread of diseases. Al helps the market players to customize their products by fulfilling healthcare requirements based on the demographic factors. Public health is significantly influenced by alteration in environmental factors like climate change and pollution, which demands innovative solutions in healthcare and bioinformatics. Therefore, analyzing environmental data and impact on health in terms of population can be carried out in a large measure by Al technologies.

Market Restraining Factors

High cost and lack of Skilled professionals likely to hamper market growth

• While AI in bioinformatics simplifies the market growth, even then the market faces obstacles limiting its revenue shares. The market is largely influenced by instrumentation cost as AI based bioinformatics instruments are highly advanced requiring specific validation and specification. Besides, the high-end prices of genomic instruments fall in the range of USD 11-22 million by virtue of the high-end features and functionalities it possesses. Therefore, this aspect appears to be problematic for most small and medium size pharma firms and research centres, inhibiting them from investing heavily in varied genomic equipment. Further, bioinformatics platforms being very automated and expensive, requires proper care to prevent damages, but the lack of skilled personnel is bound to lead to hindrance towards the expansion in the market.

Segmentation Analysis

The market scope is segmented because of by Component, by Technology, by Application, by End-User, by Deployment Mode.

• By Component

Based on the Component of the market is segmented into Software, Hardware, Services.

The AI-based bioinformatics market is led by software solutions, and these are the primary drivers for drug development, genomic sequencing, and data analysis. AI-based software platforms interpret huge biological data sets through machine learning and deep learning algorithms to help researchers identify genetic patterns and forecast the progression of diseases. For instance, protein structure prediction has been transformed by DeepMind's AlphaFold, which has greatly sped up drug discovery and personalized medicine. Hardware is another key area, encompassing cloud-based infrastructure for computationally intensive bioinformatics computations, AI accelerators, and HPC systems. NVIDIA, for instance, offers specialized GPUs for genomic analysis based on AI, enabling the processing of DNA sequencing data more efficiently and rapidly.

Services are AI consulting, cloud-based bioinformatics platforms, and data integration solutions provided by companies such as Illumina and Thermo Fisher Scientific. The services facilitate researchers and pharma companies to apply AI-driven analytics, work with large genomic databases, and improve clinical diagnostics. For example, cloud-based AI bioinformatics services facilitate real-time collaboration in genomic research between global teams. While software has the lead in adoption because of direct usage in healthcare and research, hardware and services are also key enablers facilitating AI-driven innovation in bioinformatics. Taken together, all these elements are powering innovation in genomics, drug discovery, and precision medicine.

• By Technology

Based on the Technology of the market is segmented into Machine Learning & Deep Learning, Natural Language Processing (NLP), Computer Vision.

Machine learning and deep learning lead the field of AI-driven bioinformatics, transforming drug discovery, precision medicine, and genomics. These methods analyse enormous biological datasets through protein structure prediction, gene sequence trend identification, and clinical diagnosis improvement. For instance, DeepMind's AlphaFold employs deep learning to predict protein folding with unprecedented accuracy, accelerating the development of new drugs. Natural language processing (NLP), another key AI technology in bioinformatics, facilitates automatic knowledge extraction from large sets of clinical records, genetic databases, and biological literature. NLP-based tools like IBM Watson Health, which help researchers browse academic journals for information on relevant genetic markers and disease associations, improve clinical decision-making.

Medical imaging and pathology have computer vision at their core, facilitating disease diagnosis and classification. AI-based imaging systems scan histopathological slides, MRI scans, and CT images to detect abnormalities with greater precision. For instance, PathAI employs deep learning-based computer vision to enhance cancer diagnosis by analyzing tissue samples automatically. Although deep learning and machine learning find most widespread application in bioinformatics, NLP and computer vision are complementary aids that enhance medical research, diagnosis, and tailored treatments. These AI technologies combined are transforming the healthcare industry through the acceleration of data analysis, eradication of errors, and speeding up the development of drugs.

• Regional Snapshots

By region, Insights into the markets in North America, Europe, Asia-Pacific, Latin America and MEA are provided by the study. North America is dominating the AI-based bioinformatics market due to its strong biotech and pharmaceutical industries, strong research and development (R&D) activities, and better healthcare infrastructure. Pioneers in AI and bioinformatics companies like IBM Watson Health, NVIDIA, and Illumina are also favouring market growth. The U.S. is also rapidly adopting AI-based genomics research in initiatives like the All of Us Research Program, driving the adoption of AI-based bioinformatics solutions to precision medicine and genomics. European evolution is being fuelled by government-funded genomic research programs and collaborations between health care firms and AI companies. The Genomics England program within the UK and the drive of AI in biotech in Germany are driving adoption. Besides, regulatory legislation like the EU's AI Act guides the industry towards responsible use of AI in bioinformatics. Pioneers like DeepMind (UK) and Sophia Genetics (Switzerland) are pioneering AI-driven drug discovery and in vitro diagnostics.

The most rapidly expanding market is the Asia-Pacific region, spurred by increasing investments in healthcare enabled by AI, increasing government support, and a growing biotechnology sector. China, India, and Japan are significant investors in genomic research and AI infrastructure. China, for instance, is a world leader in AI-enabled drug discovery with players like Insilico Medicine and BGI Genomics, while Japan applies AI-enabled bioinformatics for the development of precision medicine. India's increasing bioinformatics research culture, supported by organizations like the Centre for Cellular and Molecular Biology (CCMB), is also contributing to market growth.

Latin America, the Middle East, and Africa are developing economies with increasing investments in genomic research and AI-driven healthcare solutions. Public and private players are investing in AI-driven disease diagnosis and precision medicine, though infrastructure limitations and regulatory hurdles deter adoption. Overall, North America is leading, and Asia-Pacific is expanding the most, shaping the future of AI-driven bioinformatics globally.

List of Companies Profiled

• Fios Genomics (U.K)
• Source BioScience (U.K)
• Eurofins Scientific (Luxembourg)
• Thermo Fisher Scientific, Inc. (U.S)
• Insilico Medicine (U.S)
• Paige Al, Inc. (U.S)
• SomaLogic Operating Co., Inc. (U.S)
• SOPHiA Genetics
• QIAGEN
• Strand Lifescience

Key Industry Developments

• In August 2023, SOPHiA GENETICS launched its newest AI-powered platform, SOPHiA AI Clinical Exome. Designed specifically to simplify clinical exome analysis and reporting for clinicians, the platform is based on AI-driven algorithms to interpret genetic data and identify potentially disease-causing variants, facilitating rapid and accurate delivery of diagnoses.
• By July 2023, Thermo Fisher Scientific had acquired Biomatics, a life sciences data management and analytics cloud solutions pioneer. The acquisition added further vigor to Thermo Fisher's market position in the AI-based bioinformatics sector through an foray into Biomatics' biological data management capabilities and analytics solutions.
• In June 2023, QIAGEN partnered with NVIDIA to innovate AI-driven solutions for next-generation sequencing (NGS) data analysis. The partnership utilizes NVIDIA's Clara AI platform and computer hardware know-how to accelerate NGS data analysis, opening new possibilities for precision medicine and drug discovery.

Report Coverage

The report will cover the qualitative and quantitative data on the Global AI In Powered Bioinformatics Market. The qualitative data includes latest trends, market players analysis, market drivers, market opportunity, and many others. Also, the report quantitative data includes market size for every region, country, and segments according to your requirements. We can also provide customize report in every industry vertical.

Report Scope and Segmentations

Global AI In Powered Bioinformatics Market Regional Analysis

North America accounted for the highest AI In Powered Bioinformatics Market% market share in terms of revenue in the AI In Powered Bioinformatics Market and is expected to expand at a CAGR of AI In Powered Bioinformatics Market% during the forecast period. This growth can be attributed to the growing adoption of AI In Powered Bioinformatics Market. The market in APAC is expected to witness significant growth and is expected to register a CAGR of AI In Powered Bioinformatics Market% over upcoming years, because of the presence of key AI In Powered Bioinformatics Market companies in economies such as Japan and China.

The objective of the report is to present comprehensive analysis of Global AI In Powered Bioinformatics Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language.

AI In Powered Bioinformatics Market Report is also available for below Regions and Country Please Ask for that

North America

• U.S.
• Canada

Europe

• Switzerland
• Belgium
• Germany
• France
• U.K.
• Italy
• Spain
• Sweden
• Netherland
• Turkey
• Rest of Europe

Asia-Pacific

• India
• Australia
• Philippines
• Singapore
• South Korea
• Japan
• China
• Malaysia
• Thailand
• Indonesia
• Rest Of APAC

Latin America

• Mexico
• Argentina
• Peru
• Colombia
• Brazil
• Rest of South America

Middle East and Africa

• Saudi Arabia
• UAE
• Egypt
• South Africa
• Rest Of MEA

Points Covered in the Report

• The points that are discussed within the report are the major market players that are involved in the market such as market players, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.
• The complete profile of the companies is mentioned. And the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that they are making are also included within the report. This report analysed 5 years data history and forecast.
• The growth factors of the market are discussed in detail wherein the different end users of the market are explained in detail.
• Data and information by market player, by region, by type, by application and etc., and custom research can be added according to specific requirements.
• The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.

Key Questions

• How much the global AI In Powered Bioinformatics Market valued?
• Which region has the largest share in 2024 for the global AI In Powered Bioinformatics Market ?
• What are the driving factors for the market?
• Which is the leading segment in the global market?
• What are the major players in the market?

Research Scope of AI In Powered Bioinformatics Market

• Historic year: 2019- 2022
• Base year: 2023
• Forecast: 2024 to 2032
• Representation of Market revenue in USD Million

AI In Powered Bioinformatics Market Trends: Market key trends which include Increased Competition and Continuous Innovations Trends: