세계의 생물정보학 AI 시장 보고서(2025년)
AI In Bioinformatics Global Market Report 2025
상품코드 : 1815675
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

생물정보학 AI 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에 CAGR은 43.7%를 나타낼 것으로 예측되고 261억 5,000만 달러로 성장할 전망입니다. 예측 기간 동안의 성장은 단일 세포 기술의 확대, 다중 오믹스 통합에 대한 강조 증가, 기능적 유전체학에 대한 관심 증대, 의약품 재개발 가속화, 병리학 분야에서의 AI 채택 증가 등에 기인할 수 있습니다. 예측 기간의 주요 동향으로는 윤리적 AI 및 책임 있는 데이터 사용, AI 기반 가상 실험실, 양자 컴퓨팅 통합, AI 촉진 임상 시험, 안전한 데이터 공유를 위한 블록체인 등이 포함됩니다.

향후 5년간 43.7% 성장 전망은 이전 예측 대비 0.2% 소폭 하향 조정된 수치입니다. 이 조정은 주로 미국과 타국 간 관세 영향 때문입니다. 관세 부과로 이스라엘 및 캐나다에서 개발된 AI 기반 생물정보학 플랫폼 비용이 증가하여 미국 의약품 개발에 상당한 도전이 될 수 있으며, 정밀의학 발전 지연 및 계산생물학 연구 비용 증가로 이어질 수 있습니다. 또한 상호 보복 관세와 무역 긴장 및 제한 강화로 인한 전 세계 경제 및 무역에 대한 부정적 영향으로 그 효과가 더 광범위하게 나타날 것입니다.

임상 시험 건수의 예상 증가가 가까운 미래에 생물정보학 시장에서 AI 성장을 촉진할 것으로 보입니다. 임상시험은 인간 참가자를 대상으로 의학 연구를 수행하기 위한 체계적이고 신중하게 설계된 과정으로, 새로운 의료 개입, 치료법, 의약품, 기기 또는 치료 전략의 안전성, 유효성 및 효과를 평가하는 것을 목표로 합니다. 생물정보학 분야에서 AI는 전자건강기록(EHR) 및 기타 플랫폼에서 수집된 환자 데이터를 분석하여 특정 기준을 충족하는 임상시험 잠재적 후보자를 식별하는 데 핵심적인 역할을 합니다. 이러한 AI 용도는 임상시험 과정에서의 모집 효율성과 표적화 능력을 향상시킵니다. 캐나다 기반 생명과학 및 의료기기 플랫폼 Xtalks에 따르면, 2023년 5월 기준 ClinicalTrials.gov에 전 세계적으로 등록된 임상시험은 45만 2,604건이며, 이 중 6만 4,838건이 참가자를 적극적으로 모집 중입니다. 이는 2021년 초 보고된 36만 5,000건 이상의 임상시험 대비 상당한 증가로, 임상시험의 중요성이 커지고 있음을 보여줌과 동시에 생물정보학 시장에서 AI 도입을 촉진하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별, 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

HBR
영문 목차

영문목차

AI in Bioinformatics refers to the application of artificial intelligence (AI) techniques and algorithms to analyze and interpret biological data. Bioinformatics involves the management and analysis of large and complex biological datasets, such as genomic sequences, protein structures, and other biological information.

The main types of AI in bioinformatics include machine learning, deep learning, and others. Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to perform tasks without explicit programming. AI in bioinformatics offers various services and software solutions. It is applied across different applications such as genomics, chemoinformatics, drug design, proteomics, DNA sequencing, system biology, transcriptomics, text mining, microarrays, metabolomics, and other domains to facilitate the analysis and interpretation of biological data.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the pharmaceutical sector. Companies are grappling with higher costs on imported active pharmaceutical ingredients (APIs), glass vials, and laboratory equipment-many of which have limited alternative sources. Generic drug manufacturers, already operating with minimal profit margins, are particularly affected, with some scaling back production of low-margin medications. Biotech firms are also experiencing delays in clinical trials due to shortages of specialized reagents linked to tariffs. In response, the industry is shifting API production to regions like India and Europe, building up inventory reserves, and advocating for tariff exemptions on essential medicines.

The AI in bioinformatics market research report is one of a series of new reports from The Business Research Company that provides AI in bioinformatics market statistics, including AI in bioinformatics industry global market size, regional shares, competitors with AI in bioinformatics market share, detailed AI in bioinformatics market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in bioinformatics industry. This AI in bioinformatics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI in bioinformatics market size has grown exponentially in recent years. It will grow from $4.3 billion in 2024 to $6.14 billion in 2025 at a compound annual growth rate (CAGR) of 42.9%. The growth in the historic period can be attributed to increased genomic data availability, rise of precision medicine, demand for biomarker discovery, clinical trial optimization, and increased collaboration.

The AI in bioinformatics market size is expected to see exponential growth in the next few years. It will grow to $26.15 billion in 2029 at a compound annual growth rate (CAGR) of 43.7%. The growth in the forecast period can be attributed to expansion of single-cell technologies, growing emphasis on multi-omics integration, rising focus on functional genomics, acceleration of drug repurposing, increasing adoption of AI in pathology. Major trends in the forecast period include ethical AI and responsible data use, AI-driven virtual laboratories, integration of quantum computing, AI-powered clinical trials, and blockchain for secure data sharing.

The forecast of 43.7% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. The imposition of tariffs may pose a significant challenge for U.S. drug discovery by increasing costs of AI-powered bioinformatics platforms developed in Israel and Canada, potentially delaying precision medicine advancements and raising computational biology research expenditures. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The anticipated increase in the number of clinical trials is poised to propel the growth of AI in the bioinformatics market in the foreseeable future. Clinical trials, which are systematic and carefully designed processes for conducting medical research involving human participants, aim to evaluate the safety, efficacy, and effectiveness of new medical interventions, treatments, drugs, devices, or therapeutic strategies. In the realm of bioinformatics, AI plays a crucial role in analyzing patient data sourced from electronic health records and other platforms to identify potential candidates for clinical trials who meet specific criteria. This application of AI improves recruitment efficiency and targeting in clinical trial processes. According to Xtalks, a Canada-based life science and medical device platform, as of May 2023, there were 452,604 clinical trials registered worldwide on ClinicalTrials.gov, with 64,838 actively seeking participants. The substantial increase from over 365,000 trials reported at the beginning of 2021 underscores the growing significance of clinical trials and, consequently, drives the adoption of AI in the bioinformatics market.

Prominent companies in the AI in bioinformatics market are actively innovating technological advancements on platforms such as Bionl.AI to enhance profitability in the market. Bionl.AI, developed by Bionl Inc., a US-based biomedical and bioinformatics research platform company, represents an all-in-one workspace for exploration, analysis, and visualization. This platform significantly reduces the time required to complete complex tasks, offering a revolutionary solution for biomedical and bioinformatics research. Launched in October 2023, Bionl.AI operates as a no-code solution, enabling researchers, students, and professionals to investigate biomedicine using natural language queries. Leveraging state-of-the-art GenAI models, the platform provides instant insights and makes complex analyses accessible and engaging, exemplifying the integration of AI advancements to streamline and enhance bioinformatics research processes.

In August 2024, Seqera, a Spain-based company that provides scientific data analysis for life sciences and is the creator of Nextflow, acquired Tinybio for an undisclosed sum. This acquisition is part of Seqera's strategy to bolster its capabilities in AI-powered bioinformatics tools and enhance its online platform designed to empower scientists. Tinybio is a US-based tech-bio startup that specializes in bioinformatics solutions.

Major companies operating in the AI in bioinformatics market report are Thermo Fisher Scientific Inc., Eurofins Scientific SE, Dassault Systemes SE, Illumina Inc., NeoGenomics Laboratories Inc., QIAGEN N.V., SomaLogic Operating Co. Inc., Seven Bridges Genomics Inc., Genialis Inc., SOPHiA GENETICS SA, DNAnexus Inc., Insilico Medicine Inc., Deep Genomics Inc., Biomax Informatics Inc., Ardigen SA, Strand Life Sciences Pvt. Ltd., Genomenon Inc., SourceBio International Limited, Fios Genomics Limited, CelbridgeScience, BlueBee Holding BV, JADBio, Elucidata Corporation, Gnosis DA, DNASTAR Inc., iNDX.Ai, Paige AI Inc.

North America was the largest region in the AI in bioinformatics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in bioinformatics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in bioinformatics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the bioinformatics market includes revenues earned by entities by providing services such as data analysis and interpretation, biomarker discovery services, clinical decision support, diagnostic imaging software, and biomarker discovery tools. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI in the bioinformatics market also includes sales of high-performance computing (HPC) clusters, graphics processing units (GPUs), and field-programmable gate arrays (FPGAs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Bioinformatics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in bioinformatics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai in bioinformatics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in bioinformatics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. AI In Bioinformatics Market Characteristics

3. AI In Bioinformatics Market Trends And Strategies

4. AI In Bioinformatics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI In Bioinformatics Growth Analysis And Strategic Analysis Framework

6. AI In Bioinformatics Market Segmentation

7. AI In Bioinformatics Market Regional And Country Analysis

8. Asia-Pacific AI In Bioinformatics Market

9. China AI In Bioinformatics Market

10. India AI In Bioinformatics Market

11. Japan AI In Bioinformatics Market

12. Australia AI In Bioinformatics Market

13. Indonesia AI In Bioinformatics Market

14. South Korea AI In Bioinformatics Market

15. Western Europe AI In Bioinformatics Market

16. UK AI In Bioinformatics Market

17. Germany AI In Bioinformatics Market

18. France AI In Bioinformatics Market

19. Italy AI In Bioinformatics Market

20. Spain AI In Bioinformatics Market

21. Eastern Europe AI In Bioinformatics Market

22. Russia AI In Bioinformatics Market

23. North America AI In Bioinformatics Market

24. USA AI In Bioinformatics Market

25. Canada AI In Bioinformatics Market

26. South America AI In Bioinformatics Market

27. Brazil AI In Bioinformatics Market

28. Middle East AI In Bioinformatics Market

29. Africa AI In Bioinformatics Market

30. AI In Bioinformatics Market Competitive Landscape And Company Profiles

31. AI In Bioinformatics Market Other Major And Innovative Companies

32. Global AI In Bioinformatics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Bioinformatics Market

34. Recent Developments In The AI In Bioinformatics Market

35. AI In Bioinformatics Market High Potential Countries, Segments and Strategies

36. Appendix

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