The latest independent research document on Global Artificial Intelligence in Bioinformatic examines investment in Market. It describes how companies deploying these technologies across various industry verticals aim to explore their potential to become major business disrupters. The Artificial Intelligence in Bioinformatic study eludes very useful reviews & strategic assessments including the generic market trends, emerging technologies, industry drivers, challenges, and regulatory policies that propel the market growth, along with major players’ profiles and strategies. This version of Artificial Intelligence in Bioinformatic market report advocates the analysis of 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).
The Artificial Intelligence in Bioinformatic market size is estimated to reach by USD 38284 Million at a CAGR of 31.86% by 2030. The report includes historic market data from 2019 to 2023. The Current market value is pegged at USD 7284 Million.
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As Artificial Intelligence in Bioinformatic research and application [Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others] continue to expand in scope, the market will see deeper integration and application of more technologies in the future. This commercialization of the market is playing a positive role in accelerating Artificial Intelligence in Bioinformatic business digitalization, improving industry chain structures, and enhancing information use efficiency. The findings mainly focus on category or product type: , Machine Learning, Deep Learning, Others etc., which underpins many recent advances in the other Artificial Intelligence in Bioinformatic technologies.
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.
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.
Market Challenges:
- Ensuring the quality and standardization of biological data is essential for accurate AI-driven analysis. Variability in data sources and formats can pose challenges.
- Complex AI models can be difficult to interpret, which is a concern in medical and research contexts where transparent decision-making is crucial.
- Handling sensitive patient data raises ethical and privacy concerns, necessitating careful data management and compliance with regulations.
Market Restraints:
- Integrating AI into existing bioinformatics workflows may require significant investments in infrastructure, training, and expertise.
- Regulatory bodies may require rigorous validation and testing of AI-driven solutions in healthcare and drug development settings, which can delay adoption.
- Data sharing between institutions can be limited due to intellectual property concerns, making it challenging to train AI models on diverse datasets.
Market Scope
Based on the type of product, the market segmented into : Machine Learning, Deep Learning, Others
Based on the End use application, the market segmented into : Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others
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Regional Landscape
Geographically, the Artificial Intelligence in Bioinformatic market size by revenue is broken down by 18+ countries from North America, LATAM, the Middle East, Asia Pacific, Africa, and Europe based on various characteristics such as geographic footprints and business operation locations of players.
Analysts at HTF MI sheds light on Artificial Intelligence in Bioinformatic market data by Country
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, South Korea, Thailand, India, Indonesia, Australia, and Others)
Europe (Germany, Russia, the UK, Italy, France, Spain, Belgium, Netherlands, Switzerland, Nordic Nations, and the Rest of Europe.)
North America (the United States, Mexico, and Canada)
South America (Brazil, Argentina, Chile, Rest of South America)
The Middle East and Africa (GCC Countries, Turkey, Israel, South Africa, Egypt, and the Rest of MEA)
The Artificial Intelligence in Bioinformatic study cites various market development activities and business strategies such as new product/services development, Joint Ventures, partnerships, mergers, and acquisitions, etc that Industry players such as 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) are utilizing to overcome macro-economic scenarios. The Artificial Intelligence in Bioinformatic Market company profiles include Business Overview, Product / Service Offerings, SWOT Analysis, Segment & Total Revenue, Gross Margin, and % Market Share.
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Extracts from Global Artificial Intelligence in Bioinformatic Market Study
1. Market Snapshot
2. Global Artificial Intelligence in Bioinformatic Market Factor Analysis
– Value Chain Analysis
– Growth Drivers, Trends, and Challenges
– Porter 5- Forces Analysis
– PESTEL Analysis
3.Artificial Intelligence in Bioinformatic Market by Type (2019-2031) [Machine Learning, Deep Learning, Others]
4. Market by Applications/ End Users (2019-2031) [Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others]
5.Artificial Intelligence in Bioinformatic Market: Country Landscape
6. Market Size Breakdown for Each Country
7. Competitive Landscape
– Market Share Analysis by Players
– Company Profiles
……….. Continued
Data Sources & Methodology
The primary sources involve the industry experts from the Global Artificial Intelligence in Bioinformatic Market including the management organizations, processing organizations, and service providers of the industrial value chain. In the extensive research process undertaken for this study, the primary sources considered such as Postal Surveys, telephone, Online & Face-to-Face Surveys to obtain and verify both qualitative and quantitative aspects. When it comes to secondary sources Company’s Annual reports, press Releases, Websites, Investor presentations, Conference Call transcripts, webinars, Journals, Regulators, National Customs, and Industry Associations were used.
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