Global AI in Bioinformatics Market
The global AI in Bioinformatics market is estimated to be worth over USD124.29 Mnin 2033 and is expected to grow at CAGR of 42.5% during the forecast period (2024-2033).
The global AI in bioinformatics market is rapidly proliferating, fuelled by the increasing need to evaluate vast and complicated biological data sets effectively. Leading driving factors comprise the growing volume of data generated from high-throughput technologies like next-generation sequencing (NGS) and mass spectrometry, which demand innovative analytical tools for meaningful interpretation. AI technologies, specifically machine learning and deep learning, offer the capability to process and assess these large datasets with unprecedented speed and precision, making them indispensable in modern bioinformatics.
Significant opportunities in this market arise from the incorporation of AI with cloud computing, which provides scalable resources and improves data accessibility and collaboration among researchers worldwide. The adoption of cloud-based AI solutions is specifically significant, as it minimizes the need for extensive on-premises infrastructure and makes advanced bioinformatics tools more accessible to smaller institutions and emerging markets. In addition, the surging use of AI in personalized medicine and drug discovery presents significant growth potential. AI algorithms can predict molecular interactions and bioactivity, propelling the identification of drug candidates and reducing development costs and timeframes.
Major developments in the market comprise the continuous evolution of AI algorithms to enhance their predictive power and reliability. The consolidation of AI with high-throughput sequencing technologies has led to advancements in genome assembly, variant detection, and the interpretation of intricate genetic data. Moreover, strategic initiatives such as product launches, collaborations, acquisitions, and mergers are fostering innovation and expanding capabilities. These initiatives allow the pooling of resources and expertise, resulting in the development of more comprehensive and advanced AI bioinformatics tools.
All in all, the global AI in bioinformatics market is marked by swift technological advancements and growing adoption across different applications. Led by the pressing need for efficient data analysis and interpretation, and facilitated by major opportunities in cloud computing and personalized medicine, the market is poised for substantial growth, with continuous innovation and strategic initiatives improving its trajectory.
The market report presents an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this industry, across different geographies. Amongst other elements, the market report includes:
A preface providing an introduction to the full report, AI in Bioinformatics market, 2023-2033.
An outline of the systematic research methodology adopted to conduct the study on AI in Bioinformatics market, providing insights on the various assumptions, methodologies, and quality control measures employed to ensure accuracy and reliability of our findings.
An overview of economic factors that impact the overall AI in Bioinformatics market, including historical trends, currency fluctuation, foreign exchange impact, recession, and inflation measurement.
An executive summary of the insights captured during our research, offering a high-level view of the current state of the AI in Bioinformatics market and its likely evolution in the mid-to-long term.
A brief introduction to the AI in Bioinformatics , highlighting their historical background, as well as information on their types, key aspects, key challenges and the advantages of using AI in Bioinformatics.
A detailed assessment of the market landscape of AI in Bioinformatics that are either approved or being evaluated in different stages of development, based on several relevant parameters, such as By Offering (Software, Services, Others), By Type (Machine Learning, Deep Learning, Others), By Products and Services (Knowledge Management Tools, Bioinformatics Platform, Bioinformatics Services), By Application (Genomics, System Biology, Chemoinformatics and Drug Design, Transcriptomics, Metabolomics, Microarrays, Text mining, Proteomics, DNA Sequencing, Others), By Sector (Medical Biotechnology, Plant Biotechnology, Forensic Biotechnology, Animal Biotechnology, Environmental Biotechnology, Others). Further, the chapter features analysis on key niche market segments. In addition, the chapter features analysis of various AI in Bioinformatics developers, based on their year of establishment, company size, location of headquarters and most active players.
An in-depth analysis of partnerships and collaborations that have been inked between various stakeholders, since 2019, based on several relevant parameters, such as the year of partnership, type of partnership, focus of partnership, purpose of partnership, therapeutic applications and most active players (in terms of number of partnerships). It also highlights the regional distribution of partnership activity in this market.
A detailed analysis of various investments made by companies engaged in this industry, since 2019, based on several relevant parameters, such as year of funding, type of funding (grants, seed, venture capital, initial public offering, secondary offerings, private equity and debt financing), type of HPAPIs, amount invested, geography, purpose of funding, stage of development, therapeutic area, most active players (in terms of number and amount of funding instances) and leading investors (in terms of number of funding instances).
An in-depth analysis of the various AI in Bioinformatics focused initiatives undertaken by big market players, based on several relevant parameters, such as number of initiatives, year of initiative, type of initiative, purpose of initiative, focus of initiative and location of headquarters of the big pharma players.
One of the key objectives of this market report was to estimate the current market size and the future growth potential of the AI in Bioinformatics over the forecast period. Based on several parameters, such as regional analysis as well as segmental analysis rates, we have developed informed estimates of the likely evolution of the AI in Bioinformatics market over the forecast period 2023-2033. Our year-wise projections of the current and future opportunity have further been segmented based on relevant parameters, such as By Offering (Software, Services, Others), By Type (Machine Learning, Deep Learning, Others), By Products and Services (Knowledge Management Tools, Bioinformatics Platform, Bioinformatics Services), By Application (Genomics, System Biology, Chemoinformatics and Drug Design, Transcriptomics, Metabolomics, Microarrays, Text mining, Proteomics, DNA Sequencing, Others), By Sector (Medical Biotechnology, Plant Biotechnology, Forensic Biotechnology, Animal Biotechnology, Environmental Biotechnology, Others), by key geographical regions (North America, Europe, Asia-Pacific, Middle East and Africa, and South America) and leading players. In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s evolution.