Artificial Intelligence in Bioinformatic Market to See Huge Growth by 2029 | Fios Genomics, QIAGEN, Thermo Fisher Scientific

According to HTF Market Intelligence, the Global Artificial Intelligence in Bioinformatic market to witness a CAGR of 31.86% during the forecast period (2023-2029). The Latest Released Artificial Intelligence in Bioinformatic Market Research assesses the future growth potential of the Artificial Intelligence in Bioinformatic market and provides information and useful statistics on market structure and size.

This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the Artificial Intelligence in Bioinformatic market. The Artificial Intelligence in Bioinformatic market size is estimated to increase by USD 38284 Million at a CAGR of 31.86% by 2029. The report includes historic market data from 2023 to 2029. The Current market value is pegged at USD 7284 Million.

The Major Players Covered 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)

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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.

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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The titled segments and sub-sections of the market are illuminated below:
In-depth analysis of Marine Propulsion Engines market segments by Types: Machine Learning, Deep Learning, Others
Detailed analysis of Marine Propulsion Engines market segments by Applications: Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others

Major Key Players of the Market: 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)

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report:
- -To carefully analyse and forecast the size of the Artificial Intelligence in Bioinformatic market by value and volume.
- -To estimate the market shares of major segments of the Artificial Intelligence in Bioinformatic market.
- -To showcase the development of the Artificial Intelligence in Bioinformatic market in different parts of the world.
- -To analyse and study micro-markets in terms of their contributions to the Artificial Intelligence in Bioinformatic market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the Artificial Intelligence in Bioinformatic market.
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Artificial Intelligence in Bioinformatic market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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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Key takeaways from the Artificial Intelligence in Bioinformatic market report:
- Detailed consideration of Artificial Intelligence in Bioinformatic market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
- Comprehensive valuation of all prospects and threats in the
- In-depth study of industry strategies for growth of the Artificial Intelligence in Bioinformatic market-leading players.
- Artificial Intelligence in Bioinformatic market latest innovations and major procedures.
- Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
- Conclusive study about the growth conspiracy of Artificial Intelligence in Bioinformatic market for forthcoming years.

Major questions answered:
- What are influencing factors driving the demand for Artificial Intelligence in Bioinformatic near future?
- What is the impact analysis of various factors in the Global Artificial Intelligence in Bioinformatic market growth?
- What are the recent trends in the regional market and how successful they are?
- How feasible is Artificial Intelligence in Bioinformatic market for long-term investment?

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Major highlights from Table of Contents:
Artificial Intelligence in Bioinformatic Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of Artificial Intelligence in Bioinformatic Market Size, Changing Dynamics and Future Growth Trend 2022-2029 market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- Artificial Intelligence in Bioinformatic Market Size, Changing Dynamics and Future Growth Trend 2022-2029 Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- Artificial Intelligence in Bioinformatic Market Production by Region Artificial Intelligence in Bioinformatic Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in Artificial Intelligence in Bioinformatic Market Report:
- Artificial Intelligence in Bioinformatic Overview, Definition and Classification Market drivers and barriers
- Artificial Intelligence in Bioinformatic Market Competition by Manufacturers
- Artificial Intelligence in Bioinformatic Capacity, Production, Revenue (Value) by Region (2023-2029)
- Artificial Intelligence in Bioinformatic Supply (Production), Consumption, Export, Import by Region (2023-2029)
- Artificial Intelligence in Bioinformatic Production, Revenue (Value), Price Trend by Type {Machine Learning, Deep Learning, Others}
- Artificial Intelligence in Bioinformatic Market Analysis by Application {Genomics, Chemoinformatics & Drug Design, Proteomics, DNA Sequencing, System Biology, Transcriptomics, Text Mining, Others}
- Artificial Intelligence in Bioinformatic Manufacturers Profiles/Analysis Artificial Intelligence in Bioinformatic Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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