Artificial Intelligence in Bioinformatics Market Analysis Shows Increasing Adoption in Transcriptomics and Metabolomics Applications

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global Artificial Intelligence in Bioinformatics Market- (By Offering (Software, Services, Others), By Type (Machine Learning, Deep Learning and Others), By Products and Services (Knowledge Management Tools, Bioinformatics Platforms, Bioinformatic Services), By Application (Genomics, Microarrays, System Biology, Text Mining, Chemoinformatics & Drug Design, Proteomics, Transcriptomics, DNA Sequencing, Metabolomics, Others)), By Sector, By Region, Trends, Industry Competition Analysis, Revenue and Forecast To 2033."

According to the latest research by InsightAce Analytic, the Global Artificial Intelligence in Bioinformatics Market is valued at US$ 3.97 Mn in 2023, and it is expected to reach US$ 125.3 Mn by 2033, with a CAGR of 42.1% during the forecast period of 2024-2033.

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Artificial intelligence (AI) in bioinformatics entails the utilization of machine learning algorithms and advanced computational frameworks to analyze, interpret, and manage complex biological datasets. By integrating principles from life sciences with cutting-edge information technology, AI-driven bioinformatics enhances the efficiency, accuracy, and scalability of biological data processing, storage, and dissemination, thereby supporting significant advancements in biomedical research and allied disciplines. High-performance computing infrastructures are essential for the development, maintenance, and analysis of expansive biological databases, accommodating the growing complexity and volume of biological information.

The rapid proliferation of genomic data has created a pressing need for sophisticated bioinformatics tools capable of delivering precise and efficient data interpretation, driving widespread adoption of AI-based solutions in both research and clinical environments. Increasing demand for gene and protein sequencing, alongside strategic investments from government agencies and private sector stakeholders, is further fueling market growth.

Ongoing innovations in genetics, proteomics, molecular biology, and drug development are accelerating progress within the field. In parallel, emerging applications in ecological biology and pharmaceutical genomics are advancing personalized medicine, signaling a paradigm shift from conventional disease-focused treatment approaches toward integrative, data-driven healthcare solutions.

List of Prominent Players in the Artificial Intelligence in Bioinformatics Market:
• JADBio
• Gnosis Data Analysis
• Fios Genomics
• SOPHiA GENETICS
• Biomax Informatics Inc.
• DNASTAR
• Ardigen (Parent Company Selvita Group)
• Source BioScience
• QIAGEN
• NeoGenomics Laboratories
• CelbridgeScience
• Eurofins Scientific
• Illumina, Inc.
• Thermo Fisher Scientific, Inc.
• Insilico Medicine
• Strand Life Sciences
• Dassault Systèmes
• iNDX.Ai
• Paige AI, Inc.
• SomaLogic Operating Co., Inc.

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Market Dynamics
Drivers:
The increasing adoption of artificial intelligence (AI) within the bioinformatics sector is largely driven by intensified research and development efforts aimed at evaluating the safety, efficacy, and performance of novel therapeutics, medical devices, and healthcare methodologies. AI technologies enhance the efficiency of clinical research by enabling the analysis of large, complex datasets derived from electronic health records and other digital health sources. This capability facilitates the precise identification of suitable candidates for clinical trials, thereby improving trial quality, reliability, and outcomes. As clinical studies grow in scale and complexity, AI integration in bioinformatics has become essential, supporting sustained market expansion.

Challenges:
Despite its transformative potential, the broad adoption of AI in bioinformatics faces several challenges. A primary obstacle is the shortage of skilled professionals with expertise in advanced data modeling and analytical techniques, as the transition from traditional statistical methods to AI-driven analytics requires specialized technical proficiency. Additionally, bioinformatics platforms are inherently sophisticated and capital-intensive, demanding precise operation, continual maintenance, and robust data management practices. Operational inefficiencies or mismanagement can compromise data integrity and undermine the accuracy of biological interpretations. These skill gaps and technical complexities continue to constrain large-scale implementation and market scalability.

Regional Trends:
North America is projected to maintain a leading position in the AI-enabled bioinformatics market, supported by strong technological infrastructure, sustained revenue growth, and continued government-backed research funding. The United States, in particular, serves as a primary driver of regional expansion due to ongoing investments in AI-driven healthcare innovation. Europe is also experiencing significant growth, underpinned by increased investment in genetic and biomedical research. The region's emphasis on personalized medicine, coupled with advancements in computational technologies and genomic sequencing, is accelerating the adoption of AI solutions across diverse bioinformatics applications.

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Recent Developments:
• In January 2024, Eurofins Scientific is expanding its chlor-alkali electrolysis cell rental service in a European trial run with Nobian GmbH and LOGISTEED Europe B.V. The Nobian company, headquartered in North Rhine-Westphalia, Germany, is one of the most prominent European chlor-alkali1 producers.
• In June 2024, Thermo Fisher Scientific Inc. unveiled the first entirely automated mega-scale plasmid nuclear DNA extraction structure. By offering total automation for both micro and macro expand cleaning and supplying high-purity plasmid without the need for mechanical column organizing or instruction, PlasmidPro facilitates development at growth. This is the newest tool in the Thermo Scientific KingFisher gadget lineup, which provides a variety of plasmid DNA extraction solutions to promote uniformity and productivity.

Segmentation of Artificial Intelligence in Bioinformatics Market-
Artificial Intelligence in Bioinformatics Market- By Offering
• Services
• Software
• Others
Artificial Intelligence in Bioinformatics Market- By Type
• Machine Learning
• Deep Learning
• Others
Artificial Intelligence in Bioinformatics Market- By Products and Services
• Bioinformatics Services
• Bioinformatics Platforms
• Knowledge Management Tools
Artificial Intelligence in Bioinformatics Market- By Application
• Genomics
• Chemoinformatics & Drug Design
• Proteomics
• DNA Sequencing
• System Biology
• Transcriptomics
• Text Mining
• Microarrays
• Metabolomics
• Others
Artificial Intelligence in Bioinformatics Market- By Sector
• Medical Biotechnology
• Animal Biotechnology
• Plant Biotechnology
• Environmental Biotechnology
• Forensic Biotechnology
• Others
Artificial Intelligence in Bioinformatics Market- By Region
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of the Middle East and Africa

Read Overview Report- https://www.insightaceanalytic.com/report/artificial-intelligence-in-bioinformatics-market/2689

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InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.

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This release was published on openPR.