Artificial Intelligence in Bioinformatic Market May Set Epic Growth Story | QIAGEN, Illumina, Thermo Fisher Scientific
Akash Kamlesh Singh
Web Analyst - Team Lead @ HTF Market Intelligence Pvt Ltd., SEO | Google Analytics | Energy & Resources | Speciality Chemicals | Pharma & Health Care | Consumer Goods | Aerospace & Defence
A new?research study on Global Artificial Intelligence in Bioinformatic Market?is added by HTF MI in its repository with an aim to offer a complete assessment of the factors influencing and overall market growth trend. The study covers the latest development insights with disrupted trends and breakdown of Artificial Intelligence in Bioinformatic products and offering correlated with macro-economic headwinds and slowdown. Quantitative statistics with qualitative reasoning related to market size, share, and growth influencing factors of Artificial Intelligence in Bioinformatic market are evaluated with Pre and Post 2023 by studying market dominant and emerging player’s ecosystem. Some of the leading players that are listed in the study are ADBio & Gnosis Data Analysis (United Kingdom), Fios Genomics (United Kingdom), SOPHiA GENETICS (Switzerland), Biomax Informatics Inc. (Germany), DNASTAR (United States), Ardigen (Poland), Source BioScience (United Kingdom), QIAGEN (Netherlands), NeoGenomics Laboratories (United States), CelbridgeScience (Ireland), Eurofins Scientific (Luxembourg), Illumina, Inc. (United States), Thermo Fisher Scientific, Inc. (United States), Insilico Medicine (United States), Strand Life Sciences (India).
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?The global Artificial Intelligence in Bioinformatic market may touch new levels of USD 38284 Million in 2029, exhibiting at a CAGR of 31.86% backed by increasing market development activities in the industry. The current market size is seen at USD 7284 Million as per latest publication of HTF MI.
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? Definition: The term "Artificial Intelligence (AI) in Bioinformatics" refers to the application of AI techniques and technologies to the field of bioinformatics. Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze and interpret biological data, such as DNA sequences, protein structures, and gene expression profiles. AI, on the other hand, involves the creation of intelligent systems that can perform tasks that typically require human intelligence, such as reasoning, learning, problem-solving, and decision-making.
Market Trends:
·???????? AI is being used to integrate data from various omics disciplines such as genomics, proteomics, metabolomics, and transcriptomics. This enables a more comprehensive understanding of biological systems and disease mechanisms.
·???????? As AI models become more complex, there is a growing need for explainable AI in bioinformatics. Interpretability is crucial for gaining insights into how AI-driven decisions are made, especially in critical medical and research contexts.
Market Drivers:
·???????? The exponential growth of biological data, fueled by advancements in technologies like next-generation sequencing, creates a need for AI-driven tools to manage and analyze this data effectively.
·???????? Increasing computational power allows for the training of more complex AI models, enabling more accurate predictions and analyses.
·???????? With the increasing demand for personalized medicine and more efficient drug development, there's a strong drive to adopt AI to address these challenges.
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Market Opportunities:
·???????? The vast amount of biological data generated presents opportunities for AI to mine and integrate this data to extract meaningful insights and drive new discoveries.
·???????? AI can aid in identifying biomarkers associated with diseases, allowing for early detection, diagnosis, and monitoring of various conditions.
·???????? AI can be used to identify existing drugs that could potentially be repurposed for new therapeutic uses, saving time and resources in drug development.
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Target Audience:
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·???????? New Entrants/Investors
·???????? Analysts and Strategic Business Planners
·???????? Venture and Capitalist
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·???????? Government Research Organizations
·???????? Private Research Organization
·???????? Government Bodies
·???????? End-Users
·???????? Others
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The titled segments and sub-section of the market are illuminated below: Global Artificial Intelligence in Bioinformatic Market Breakdown by Application (Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others) by Type (Machine Learning, Deep Learning, Others) by Offering (Software, Services) by End Users (Medical Biotechnology, Animal Biotechnology, Plant Biotechnology, Environmental Biotechnology, Forensic Biotechnology) and by Geography (North America, South America, Europe, Asia Pacific, MEA)
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With this report you will learn: ? Who the leading players are in Artificial Intelligence in Bioinformatic Market? ? What you should look for in a Artificial Intelligence in Bioinformatic ? What trends are driving the Market ? About the changing market behaviour over time with strategic view point to examine competition Also included in the study are profiles of 15 Artificial Intelligence in Bioinformatic vendors, pricing charts, financial outlook, swot analysis, products specification &comparisons matrix with recommended steps for evaluating and determining latest product/service offering. List of players profiled in this report: ADBio & Gnosis Data Analysis (United Kingdom), Fios Genomics (United Kingdom), SOPHiA GENETICS (Switzerland), Biomax Informatics Inc. (Germany), DNASTAR (United States), Ardigen (Poland), Source BioScience (United Kingdom), QIAGEN (Netherlands), NeoGenomics Laboratories (United States), CelbridgeScience (Ireland), Eurofins Scientific (Luxembourg), Illumina, Inc. (United States), Thermo Fisher Scientific, Inc. (United States), Insilico Medicine (United States), Strand Life Sciences (India)
who should get most benefit from this report insights? ? Anyone who are directly or indirectly involved in value chain cycle of this industry and needs to be up to speed on the key players and major trends in the market for Artificial Intelligence in Bioinformatic
? Marketers and agencies doing their due diligence in selecting a Artificial Intelligence in Bioinformatic for large and enterprise level organizations ? Analysts and vendors looking for current intelligence about this dynamic marketplace. ? Competition who would like to benchmark and correlate themselves with market position and standings in current scenario.
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Quick Snapshot and Extracts from TOC of Latest Edition Overview of Artificial Intelligence in Bioinformatic Market Artificial Intelligence in Bioinformatic Size (Sales Volume) Comparison by Type [Machine Learning, Deep Learning, Others] (2023-2028) Artificial Intelligence in Bioinformatic Size (Consumption) and Market Share Comparison by Application [Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others] (2023-2028) Artificial Intelligence in Bioinformatic Size (Value) Comparison by Region (2023-2028) Artificial Intelligence in Bioinformatic Sales, Revenue and Growth Rate (2023-2028) Artificial Intelligence in Bioinformatic Competitive Situation and Current Scenario Analysis Strategic proposal for estimating sizing of core business segments Players/Suppliers High Performance Pigments Manufacturing Base Distribution, Sales Area, Product Type Analyse competitors, including all important parameters of Artificial Intelligence in Bioinformatic Artificial Intelligence in Bioinformatic Manufacturing Cost Analysis Latest innovative headway and supply chain pattern mapping of leading and merging industry players
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