유럽 ​​생물정보학 시장에서의 AI – 2029년까지의 산업 동향 및 예측

유럽 ​​AI in Bioinformatics 시장 분석 및 규모

유전자 시퀀싱 비용 의 감소는 시장 수요를 증가시켰습니다. 더 나은 건강 서비스를 위한 의료비 지출 증가도 시장 성장에 기인합니다. 주요 시장 참여자들은 이 중요한 기간 동안 다양한 서비스 출시와 서비스 승인에 매우 집중하고 있습니다. 또한, 생물정보학에 대한 수요 증가와 생물정보학 에 대한 공공-민간 부문 자금 지원 증가 도 시장 수요 증가에 기여하고 있습니다.

유럽 ​​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 증가함에 따라 시장 성장이 더욱 촉진되고 있습니다. 그러나 생물정보학의 계측기 비용 과 사이버 보안 문제가 예측 기간 동안 유럽 AI in bioinformatics 시장의 성장을 방해할 수 있습니다.

Data Bridge Market Research는 생물정보학 분야의 AI 시장이 2029년까지 11,023.14백만 달러에 도달할 것으로 예상하며, 예측 기간 동안 CAGR은 43.0%라고 분석했습니다. "서비스"는 생물정보학 분야에서 핸드헬드 AI 사용을 상용화하기 위한 기술 경로의 빠른 발전으로 인해 생물정보학 분야의 AI 시장에서 가장 큰 기술 부문을 차지합니다. 생물정보학 분야의 AI 시장 보고서는 또한 가격 분석, 특허 분석 및 심층적인 기술 발전을 다룹니다.         

Market Definition

Bioinformatics is a sub-discipline that has to do with the analysis of sequences of biological molecules. It usually refers to genes, DNA, RNA, or protein and is particularly useful in comparing genes and other sequences in proteins and other sequences within an organism or between organisms, looking at the evolutionary relationships between organisms, and using the patterns that exist across DNA and protein sequences to figure out what their function is.

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.

From genetics to toxicology to mycology and radiobiology, there are scores of branches of Biology to specialize in. And out of the many, Bioinformatics is one of the intriguing fields which enables you to identify, evaluate, store, and retrieve 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 like DNA sequencing, protein analysis, evolutionary genetics, and others.

In the coming future, important decisions related to bioinformatics, on drug discovery will be made by individuals who not only understand the biology but can also use the bioinformatics tools and the knowledge they release to develop hypotheses and identify the quality target.

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 as below:

• Growing demand for bioinformatics

As genomics focused pharmacology continues to play a greater role in the treatment of 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, which involves biologists who learn programming, computer programmers, mathematicians, or database managers to learn the foundations of biology.

• 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 the name next-generation sequencing (NGS). Thousands or millions of sequences in a single bioinformatics cycle are generated simultaneously. Dramatic upgrades to industrial NGS technologies have culminated in dramatic cutbacks in DNA sequencing cost-per-base. Thus recently, the main sequencing techniques have become the key subject of research, with sample design optimization taking a secondary function.

• Increasing public-private sector funding for bioinformatics

In order to improve the workflow for bioinformatics, the federal agencies, the public, and the private agencies are providing funds in order to carry out bioinformatics projects and to scientists for research purposes. It is important to approach possible funders with a clear proposal and strategy of what is to be achieved in terms of bioinformatics capacity building in the institution as well as the intended outputs and outcomes. Many government bodies and private organizations across the globe are increasingly investing in the field of bioinformatics. These investments have largely resulted in data and technological advancements in bioinformatics services, which, in turn, have improved the quality of these services.

• High cost of instrumentation

The cost of the device plays a major factor in the market. The AI based bioinformatics instrument is highly sophisticated and need high validation and other specification which increase. Genomics instruments are also equipped with advanced features and functionalities and are thus priced at a premium, ranging between ~USD 10–20 million. As pharmaceutical companies and research laboratories require many such systems, their capital expenditure on procuring multiple genomic instruments is very high. In the case of small and medium-sized pharmaceutical companies and research laboratories, it is not feasible for them to make such high investments in multiple genomics instruments. Hence, the high cost of AI based equipment is expected to restrain the market growth.

• Strategic initiatives of key players

The dramatic rise in the quality of research coupled with increasing research opportunities is because of various strategic initiatives taken by key market players. They are taking initiatives such as product launches, collaborations, mergers, acquisitions, and many more over the years and are expected to lead and create more opportunities in the market.

By successfully working with new technology firms to ensure continued growth, creativity, and viability in the industry, healthcare product suppliers have a huge opportunity. Health enterprises that implement technology-enabled technologies will explore new modes of goods for patient care, streamline processes and engage patients more.

Companies discover and develop advanced bioinformatics products, and these companies are launching new initiatives and collaborating with other key players to deliver more reliable results and services.

• Advancement in bioinformatics technology

The dimensions and cost of bioinformatics platforms and instruments are decreasing, allowing easier uptake by public health laboratories. Although currently, AI based bioinformatics requires highly specialized equipment and substantially skilled staff to analyze the data, it is unlikely that the bioinformatics revolution has finished. With rising technology up-gradation of instruments and techniques is also needed, moreover, the bioinformatics market has a vast potential to upgrade in various applications, and there are high chances of the advancement of bioinformatics techniques in the forecasted period.

• Lack of skilled professionals to perform AI based bioinformatics technology

One of biology's most rapidly developing fields of study is bioinformatics, which involves the development and use of computational tools for the collection, archiving, organization, analysis, and visualization of biological data. The advancement of technology has made it possible to reach the level of next-generation analysis from conventional data analysis methods. The advancement of the technology of bioinformatics requires various skill sets for its handling. As the bioinformatics platforms are highly automated and costly machines, the improper handling of such machines can damage their parts which can hamper achieving analysis and visualization of biological data. Thereby, it will proportionally hamper the result of data processing. The dearth of skilled professionals having adequate skills and knowledge to perform next-generation sequencing, therefore, hampers the growth of the market.

Post COVID-19 Impact on AI in Bioinformatics Market

During the pandemic, the North bioinformatics sector is one that focused on using the combination of biology and information technology. At the heart of the industry is biological data, which is analyzed and transformed using IT techniques. Bioinformatics has always had huge potential when it comes to providing essential support to many areas of scientific research. The tools that bioinformatics can provide allow scientists to get to grips with larger data sets to mine and analyses them to discover crucial information that could lead to key discoveries. Genetics and genomes have been the primary focus of bioinformatics in recent years, including comparative genomics, DNA microarrays, and functional genomics.

The growth of the AI in bioinformatics market is increasing with the growing demand for analysis tools in drug discovery and development and the integration of AI in various fields to interpret the data more conveniently. Hence, the market is expected to grow significantly in the forecast period, whereas the cost and the complexity of AI integration may hamper the market growth. The intervention of COVID-19 has increased the R&D activities, which in turn positively add to the market growth.

Recent Developments

• In June 2022, SOPHiA GENETICS, a leader in data-driven medicine, announced from the ESHG Conference in Vienna that it has achieved CE-IVD certification for the analytical functionality supported by its cloud-based SOPHiA DDM™ Platform, an accessory to diagnostic applications. With this certification, the SOPHiA DDM™ Platform is now IVD-ready to support all applications and modules designed for diagnostic purposes in the European Union and other markets recognizing this certification. This has helped company to increase their Europe presence in the market.
• In December 2021, JADBio and BioLizard announced their partnership. BioLizard is agile bioinformatics and AI/ML company in Europe servicing clients in the life sciences, biotechnology, and pharmaceutical industries. JADBio is a robust Automated Machine Learning platform that allows intuitive, timely, and interactive creation of ML predictive models on BioMedical and Multi-omics data while allowing for knowledge (biomarker signature) discovery through its vast range of reporting and analysis. This has helped the company to expand its products and services portfolio in the market.

Europe AI in Bioinformatics Market Scope

Europe AI in bioinformatics market is segmented on the basis of offering, type, products and services, application, and sector. The growth amongst these segments will help you analyze major 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 Europe AI in bioinformatics market is segmented into services, software, and others.

Type

• Machine Learning
• Deep Learning
• Others

On the basis of type, the Europe AI in bioinformatics market has been segmented into machine learning, deep learning, and others.

Products and Services

• Bioinformatics Services
• Bioinformatics Platforms
• Knowledge Management Tools

On the basis of products and services, the Europe AI in bioinformatics market has been 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

유럽의 생물정보학 AI 시장은 응용 분야별로 유전체학, 화학정보학 및 약물 설계, 단백체학, DNA 시퀀싱, 시스템 생물학, 전사체학, 텍스트 마이닝, 마이크로어레이, 대사체학 등으로 세분화되었습니다.

부문

• 의료 생명공학
• 동물 생명공학
• 식물 생명공학
• 환경생물공학
• 법의학 생명공학
• 기타

아시아 태평양 지역 AI 생물정보학 시장은 분야별로 의료 생명공학, 동물 생명공학, 식물 생명공학, 환경 생명공학, 법의학 생명공학 등으로 구분됩니다.

생물정보학 시장 지역 분석/통찰력의 AI

생물정보학 분야의 AI 시장이 분석되고, 위에 언급된 대로 국가, 제공 서비스, 유형, 제품 및 서비스, 응용 프로그램, 부문별로 시장 규모에 대한 통찰력과 추세가 제공됩니다.

유럽 ​​AI in bioinformatics 시장 보고서에서 다루는 국가는 영국, 독일, 프랑스, ​​스페인, 이탈리아, 네덜란드, 스위스, 러시아, 벨기에, 터키 및 기타 유럽 국가입니다. 영국은 생물정보학에서 AI 기술에 초점을 맞춘 신생 기업의 성장과 생물정보학에 대한 수요 증가 및 연구 개발에서의 높은 응용으로 인해 유럽 AI in bioinformatics 시장을 지배할 것으로 예상됩니다.

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 유럽 브랜드의 존재 및 가용성과 지역 및 국내 브랜드와의 대규모 또는 희소한 경쟁으로 인해 직면한 과제, 국내 관세의 영향 및 무역 경로가 국가 데이터에 대한 예측 분석을 제공하는 동안 고려됩니다.   

경쟁 환경 및 생물정보학 시장 점유율 분석의 AI

생물정보학 분야의 AI 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, 유럽의 입지, 생산 현장 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 우세입니다. 위에 제공된 데이터 포인트는 회사가 생물정보학 분야의 AI 시장에 집중하는 것과만 관련이 있습니다.

생물정보학 분야의 AI 시장에서 활동하는 주요 기업으로는 JADBio & Gnosis Data Analysis, Fios Genomics, SOPHiA GENETICS, Biomax Informatics Inc., Ardigen(모회사 Selvita Group), Source BioScience, QIAGEN, NeoGenomics Laboratories, Eurofins Scientific, Illumina, Inc., Thermo Fisher Scientific, Inc., Insilico Medicine, Dassault Systèmes, SomaLogic Operating Co., Inc. 등이 있습니다.

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