북미 생물정보학 AI 시장 – 2029년까지의 산업 동향 및 예측

북미 AI in Bioinformatics 시장 분석 및 규모

유전자 시퀀싱 비용 감소로 시장 수요가 증가했습니다. 더 나은 건강 서비스를 위한 의료비 지출 증가도 시장 성장에 기여합니다. 주요 시장 참여자들은 이 중요한 기간 동안 다양한 서비스 출시와 승인에 집중합니다. 또한, 생물정보학에 대한 수요 증가와 생물정보학에 대한 공공-민간 부문 자금 지원 증가도 시장 수요 증가에 기여하고 있습니다.

북미 AI in bioinformatics 시장은 시장 참여자의 증가와 고급 서비스의 가용성으로 인해 예측 연도에 성장하고 있습니다. 이와 함께 제조업체는 시장에서 새로운 서비스를 출시하기 위한 R&D 활동에 참여하고 있습니다. 생물정보학 기술의 발전이 시장 성장을 더욱 촉진하고 있습니다. 그러나 생물정보학의 계측 및 사이버 보안 우려의 높은 비용은 예측 기간 동안 북미 AI in bioinformatics 시장의 성장을 방해할 수 있습니다.

증가하는 기술적 진보와 현대화, 그리고 시장 참여자들의 전략적 이니셔티브는 시장 기회를 제공하고 있습니다. 그러나 AI 기반 생물정보학 기술을 수행할 숙련된 전문가의 부족과 임상 실험실에서 생물정보학 기술을 구현하는 데 있어서의 과제는 시장 성장에 대한 주요 과제입니다.

Data Bridge Market Research는 북미 AI in bioinformatics 시장이 2030년까지 19,677.40백만 달러에 도달할 것으로 예상하며, 예측 기간 동안 CAGR은 45.2%라고 분석했습니다. 북미 AI in bioinformatics 시장 보고서는 또한 가격 분석, 특허 분석 및 기술 발전을 포괄적으로 다룹니다.     

Market Definition

The North America AI in bioinformatics market refers to the sector within the North American region where artificial intelligence (AI) technologies are applied in the field of bioinformatics. Bioinformatics involves the use of computational methods and techniques to analyze and interpret biological data, such as genomic sequences, protein structures, and large-scale biological experiments.

Bioinformatics combines computer programming, big data, and molecular biology, which enables scientists to understand and identify patterns in biological data. It is particularly useful in studying genomes and DNA sequencing, as it allows scientists to organize large amounts of data.

There are scores of branches of biology to specialize in, from genetics, toxicology, mycology, and radiobiology. And out of the many, bioinformatics is one of the intriguing fields that enables identifying, evaluating, storing, and retrieving biological information. Being an interdisciplinary field of study, it incorporates various applications of Computer Science, Statistics, and Biology to develop software applications for understanding biological data such as DNA sequencing, protein analysis, evolutionary genetics, and others.

North America AI in Bioinformatics Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints, and challenges. All of this is discussed in detail below:

Drivers

• Reduction in the Genetic Sequencing Cost

The strong demand for decreasing the cost of genomics and biomarker prediction has contributed to the creation of high-throughput genome sequencing, which often goes by next-generation sequencing (NGS). Thousands or millions of sequences in a single bioinformatics cycle are generated simultaneously. Dramatic upgrades to industrial NGS technologies have resulted in dramatic cutbacks in cost-per-base DNA sequencing. Thus, the main sequencing techniques have recently become the key research subject, with sample design optimization taking a secondary function.

With its parallel capacity to handle hundreds of millions of DNA templates, next-generation sequencing has greatly improved sequencing efficiency and reduced sequencing costs. Moreover, the cost of bioinformatics has decreased dramatically since the completion of the Human Genome Project, outpacing Moore's Law. Illumina has helped reduce the cost of bioinformatics instrumentation through continuous innovation, allowing the USD 1000 human genome.

• Growing Demand for Bioinformatics

As genomics-focused pharmacology continues to play a greater role in treating various chronic diseases, especially cancer, next-generation sequencing (NGS) is evolving as a powerful tool for providing a deeper and more precise insight into the molecular underpinnings of individual tumors and specific receptors. Informatics is essential in biological research involving biologists who learn programming, computer programmers, mathematicians, or database managers who learn the foundations of biology.

NGS offers advantages in accuracy, sensitivity, and speed compared to traditional methods that have the potential to make a significant impact on the field of oncology. Because NGS can assess multiple genes in a single assay, the need to order multiple tests to identify the causative mutation is eliminated. AI in bioinformatics is important for data management in modern biology and medicine.

The increasing use of bioinformatics is driven by the explosion of biological data, the need for data integration and analysis, its applications in drug discovery and personalized medicine, its contribution to understanding complex biological systems, and its role in evolutionary biology and phylogenetic. Bioinformatics plays a significant role in advancing biological research, improving healthcare, and addressing various challenges in the life sciences.

Opportunity

• Rise in Healthcare Expenditure

The rise in healthcare expenditure by governments has been observed in many countries around the world. Healthcare expenditure has increased worldwide as people's disposable income in various countries increases. Moreover, to accomplish the population requirements, government bodies, and healthcare organizations are taking the initiative by accelerating healthcare expenditure. As populations age, there is an increased demand for healthcare services, including chronic disease management, long-term care, and end-of-life care. The elderly population tends to require more healthcare resources and services, leading to higher healthcare expenditures. There are some instances where many government organizations improved the solid funding for healthcare which boosted the healthcare market and it made a significant opportunity for North America AI in bioinformatics market.

Restraint/Challenge

• Cybersecurity Concerns in Bioinformatics

Bioinformatics datasets contain sensitive information, including genomic data, personal health information, and research data. If unauthorized individuals gain access to this data through breaches in cybersecurity defences, it can lead to privacy violations, identity theft, or misuse of the data.

However, the increasing computerization of DNA technology and biotechnology, more generally, raises new bio-cyber security concerns. Vulnerabilities typically associated with traditional computer systems – such as the processing of untrusted input, side-channel leaks, poor authentication, falsified data, and vulnerabilities in cyber-physical systems -- now exist in biotechnology. The emerging bio-cyber security threats have threatened the DNA-information systems in bioinformatics.

Post-COVID-19 Impact on North America AI in Bioinformatics Market

The AI in bioinformatics industry noted a decrease in demand due to the lockdown and COVID-19. Governmental laws, as manufacturing facilities and services were closed. COVID-19 created a major impact on various industries as almost every country has opted for the shutdown of every facility except the ones dealing in the essential goods segment. The government has taken some strict actions such as the shutdown of facilities and sale of non-essential goods, blocked international trade, and many more to prevent the spread of COVID-19. This boosted the North America AI in bioinformatics market, as the consumers were availing insurance to avoid huge capital payments at hospitals just in case of medical needs. Hence, COVID-19 impacted positively North America AI in the bioinformatics market.

Recent Developments

• In September 2022, Elucidata, a TechBio company, successfully raised USD 16 million in a Series A fundraising round. The funding was led by Eight Roads Ventures. The company plans to utilize the newly acquired capital to enhance product capabilities in translational drug research and related markets. Additionally, the funds will support the expansion of go-to-market initiatives and enable the company to grow its operations globally.
• In January 2022, Shanghai Fosun Pharmaceutical (Group) Co., Ltd, a leading innovation-driven international healthcare group in China, and Insilico Medicine, an end-to-end artificial intelligence (AI)-driven drug discovery and Development Company. The Company entered into a collaboration agreement to advance the discovery and development of drugs targeting several targets globally through AI technology. This has helped the company expand its market product portfolio and increase its global presence

North America AI in Bioinformatics Market Scope

North America AI in bioinformatics market is segmented on the basis of offering, type, product and services, application, and sector. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

• Services
• Software
• Others

On the basis of offering, the North America AI in bioinformatics market is segmented into services, software and others.   

Type

• Machine Learning
•  Deep Learning
•  Others

On the basis of type, North America AI in bioinformatics market is segmented into machine learning, deep learning, and others.

Products and Services

• Bioinformatics Services
• Bioinformatics Platforms
• Knowledge Management Tools

On the basis of product and services, the North America AI in bioinformatics market is segmented into bioinformatics services, bioinformatics platforms and knowledge management tools.

Application

• Genomics
• Chemoinformatics & Drug Design
• Proteomics
• DNA Sequencing
• System Biology
• Transcriptomics
• Text Mining
• Microarrays
• Metabolomics
• Others

On the basis of the application, the North America AI in bioinformatics market is segmented into genomics, chemoinformatics & drug design, proteomics, DNA sequencing, system biology, transcriptomics, text mining, microarrays, metabolomics and others.

Sector

• Medical Biotechnology
• Animal Biotechnology
• Plant Biotechnology
• Environmental Biotechnology
• Forensic Biotechnology
• Others

On the basis of the sector, the North America AI in bioinformatics market is segmented into medical biotechnology, animal biotechnology, plant biotechnology, environmental biotechnology, forensic biotechnology, and others.

North America AI in Bioinformatics Market Regional Analysis/Insights

North America AI in bioinformatics market is analyzed, and market size insights and trends are provided by country, offering, type, products and services, application, and the sector as referenced above.

The countries covered in the North America AI in bioinformatics market report are U.S., Canada, and Mexico. U.S. dominates in the North America region due to the high demand for AI in bioinformatics devices. Additionally, The U.S. has a robust R&D ecosystem with a significant investment in scientific research. Leading universities and research institutions in the country have made substantial contributions to the field of bioinformatics, including the application of AI techniques.

보고서의 국가 섹션은 또한 현재 및 미래 시장 추세에 영향을 미치는 개별 시장 영향 요인과 시장 규제의 변화를 제공합니다. 하류 및 상류 가치 사슬 분석, 기술 추세, 포터의 5가지 힘 분석, 사례 연구와 같은 데이터 포인트는 개별 국가의 시장 시나리오를 예측하는 데 사용되는 몇 가지 포인터입니다. 또한 북미 브랜드의 존재 및 가용성과 지역 및 국내 브랜드와의 대규모 또는 희소한 경쟁으로 인해 직면한 과제, 국내 관세의 영향 및 무역 경로가 국가 데이터의 예측 분석을 제공하는 동안 고려됩니다.   

경쟁 환경 및 북미 AI in Bioinformatics 시장 점유율 분석

북미 AI in bioinformatics 시장 경쟁 구도는 경쟁자에 대한 세부 정보를 제공합니다. 포함된 세부 정보는 회사 개요, 회사 재무, 창출된 수익, 시장 잠재력, 연구 개발 투자, 새로운 시장 이니셔티브, 북미 지역, 생산 현장 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 우세입니다. 제공된 위의 데이터 포인트는 북미 AI in bioinformatics 시장과 관련된 회사의 초점에만 관련이 있습니다.

북미 AI 생물정보학 시장에서 활동하는 주요 기업으로는 JADBio & Gnosis Data Analysis, SOPHiA GENETICS, Biomax Informatics AG, DNASTAR, Ardigen, QIAGEN, Source BioScience., NeoGenomics Laboratories, Eurofins Scientific, Illumina, Inc., Thermo Fisher Scientific Inc., CelbridgeScience., Dassault Systemes Fios Genomics, Insilico Medicine, Strand Life Sciences, Paige AI, Inc., SomaLogic Operating Co., Inc., iNDX. Ai., Elucidata 등이 있습니다.

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