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생명공학 분야 AI 시장 보고서(2025년)
AI In Biotechnology Global Market Report 2025
상품코드 : 1760030
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

생명공학 분야 AI 시장 규모는 향후 수년간 비약적인 성장이 전망될 예정입니다. 이 기간에 예상되는 주요 동향에는 딥러닝과 신경 네트워크의 발전, AI와 유전체학 및 단백질체학의 통합, AI 주도형 CRISPR 유전자 편집의 진전, 약물감시에 있어서의 AI의 이용, AI 기반의 동반진단약의 개발 등이 있습니다.

인공지능(AI)의 채용 확대가 생명공학 분야 AI 시장의 확대를 견인할 것으로 예상되고 있습니다. 도입이 증가하고 있는 배경에는 특히 복잡한 데이터 분석을 높은 정밀도로 자동화함으로써 폭넓은 산업에서 효율성, 정밀도, 의사결정을 개선하는 능력이 있다는 것을 들 수 있습니다. 예를 들어, 2024년 10월 영국 과학혁신기술부(DSIT)는 2022년 대비 2023년 AI 기업 수 17% 증가(+543개), AI로 창출한 수익 34% 증가(+36억 파운드), 고용 29% 증가(+14,500명), 총 부가가치(GVA) 약 57% 증가(+21억 파운드) 등 AI 활동이 두드러지게 증가했다고 발표했습니다.

생명공학 분야 AI의 주요 기업은 시장에서의 지위를 강화하기 위해 항체 탐색을 위한 AI 탑재 플랫폼 등의 선진 기술 개발을 우선하고 있습니다. AION Labs는 2023년 2월 치료용 항체 de novo 탐색에 특화된 혁신적인 플랫폼 DenovAI를 발표했습니다. 정밀도 향상, 개발 사이클 단축을 실현합니다.DenovAI는 생명공학에서 큰 도약을 의미하며, 보다 신속하고 저렴한 창약을 촉진하고 다양한 질병 영역에서의 임상 성공 가능성을 높입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 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

KTH
영문 목차

영문목차

Artificial intelligence (AI) in biotechnology involves the application of machine learning and data-driven algorithms to interpret biological data and accelerate scientific research. It plays a vital role in areas such as drug discovery, genomics, diagnostics, and personalized medicine by recognizing patterns and forecasting outcomes. AI improves operational efficiency, reduces research costs, and provides deeper insights into complex biological systems, fueling innovation in healthcare and life sciences.

The primary components of AI in biotechnology include software, hardware, and services. Software in this context consists of sophisticated computational tools and algorithms that analyze biological data, simulate complex biological systems, and speed up processes such as drug development, genomic analysis, and precision medicine. It supports applications such as drug discovery and development, clinical trial optimization, medical imaging, diagnostics, and more, serving end users such as pharmaceutical and biotechnology companies, academic and research institutions, healthcare providers, contract research organizations (CROs), contract development and manufacturing organizations (CDMOs), and others.

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

The AI in biotechnology market size has grown exponentially in recent years. It will grow from$4.46 billion in 2024 to $5.56 billion in 2025 at a compound annual growth rate (CAGR) of 24.8%. The growth during the historic period can be attributed to the rise in computational capabilities, the expansion of AI-driven drug discovery efforts, the increasing application of AI in microbiome research, the emergence of AI in regenerative medicine, and the growing adoption of AI in agricultural biotechnology.

The AI in biotechnology market size is expected to see exponential growth in the next few years. It will grow to$13.40 billion in 2029 at a compound annual growth rate (CAGR) of 24.6%. The growth in the forecast period can be attributed to the increasing adoption of AI technologies, rising investments in AI-biotech startups, growing use of AI in toxicology studies, the emergence of AI-driven predictive models in cancer research, and the expanding field of AI-driven drug repurposing. Key trends expected during this period include advancements in deep learning and neural networks, the integration of AI with genomics and proteomics, progress in AI-driven CRISPR gene editing, the use of AI in pharmacovigilance, and the development of AI-based companion diagnostics.

he growing adoption of artificial intelligence (AI) is anticipated to drive the expansion of the AI in biotechnology market. AI refers to the simulation of human cognitive functions by machines, particularly computer systems, to execute tasks such as learning, reasoning, and problem-solving. The rise in AI adoption is fueled by its ability to improve efficiency, precision, and decision-making across a wide range of industries, particularly through automating complex data analysis with high accuracy. In biotechnology, AI significantly accelerates drug discovery, streamlines research processes, and enhances predictive modeling, ultimately contributing to better healthcare outcomes. For example, in October 2024, the UK's Department for Science, Innovation & Technology (DSIT) reported a notable increase in AI activity in 2023, including a 17% rise in the number of AI companies (+543), a 34% boost in AI-generated revenue (+£3.6 billion), a 29% growth in employment (+14,500), and a nearly 57% increase in gross value added (GVA) (+£2.1 billion) compared to 2022. As a result, the expanding adoption of AI is propelling growth in the AI-driven biotechnology market.

Leading companies in the AI in biotechnology sector are prioritizing the development of advanced technologies, such as AI-powered platforms for antibody discovery, to strengthen their market position. These platforms leverage AI to efficiently identify and optimize therapeutic antibodies, accelerating drug development while reducing costs and improving clinical outcomes. For instance, in February 2023, AION Labs, a venture studio based in Israel, introduced DenovAI-an innovative platform dedicated to the de novo discovery of therapeutic antibodies. This state-of-the-art system integrates machine learning with computational biophysics to identify high-affinity antibody candidates, offering greater sequence diversity, enhanced precision, and shorter development cycles. DenovAI represents a significant leap in biotechnology, facilitating faster, more affordable drug discovery and increasing the likelihood of clinical success across various disease areas.

In February 2025, Incyte Corporation, a U.S.-based biopharmaceutical firm, entered into a strategic partnership with Genesis Therapeutics Inc. to harness the potential of AI in enhancing drug discovery efficiency. The partnership combines Incyte's deep expertise in drug development with Genesis Therapeutics' proprietary AI platform to accelerate the discovery and refinement of innovative small molecule therapies for targeted oncology treatments. Genesis Therapeutics Inc. is a U.S.-based biotechnology company that specializes in AI-powered drug discovery, aiming to revolutionize therapeutic development through advanced technological applications.

Major players in the ai in biotechnology market are Google LLC, Pfizer Inc., Johnson & Johnson Services Inc., F. Hoffmann-La Roche Ltd., International Business Machines Corporation (IBM), Bayer AG, Sanofi S.A., Bristol-Myers Squibb Company, AstraZeneca Plc, Abbott Laboratories, Novartis AG, Roivant Sciences Ltd., Gilead Sciences Inc., NVIDIA Corporation, Amgen Inc., Novo Nordisk A/S, Merck KGaA, Biogen Inc., CareDx Inc., Clario Inc., BenevolentAI Limited, Recursion Pharmaceuticals Inc., Insilico Medicine Inc., and Genesis Therapeutics Inc.

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

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

The AI in biotechnology market consists of revenues earned by entities providing services such as genomics analysis, precision medicine development, biomanufacturing optimization, and AI-driven diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in biotechnology market also includes sales of bioinformatics tools, automation systems, and AI-integrated laboratory equipment. 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 Biotechnology 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 biotechnology 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 biotechnology ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in biotechnology 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. AI In Biotechnology Market Characteristics

3. AI In Biotechnology Market Trends And Strategies

4. AI In Biotechnology 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 Biotechnology Growth Analysis And Strategic Analysis Framework

6. AI In Biotechnology Market Segmentation

7. AI In Biotechnology Market Regional And Country Analysis

8. Asia-Pacific AI In Biotechnology Market

9. China AI In Biotechnology Market

10. India AI In Biotechnology Market

11. Japan AI In Biotechnology Market

12. Australia AI In Biotechnology Market

13. Indonesia AI In Biotechnology Market

14. South Korea AI In Biotechnology Market

15. Western Europe AI In Biotechnology Market

16. UK AI In Biotechnology Market

17. Germany AI In Biotechnology Market

18. France AI In Biotechnology Market

19. Italy AI In Biotechnology Market

20. Spain AI In Biotechnology Market

21. Eastern Europe AI In Biotechnology Market

22. Russia AI In Biotechnology Market

23. North America AI In Biotechnology Market

24. USA AI In Biotechnology Market

25. Canada AI In Biotechnology Market

26. South America AI In Biotechnology Market

27. Brazil AI In Biotechnology Market

28. Middle East AI In Biotechnology Market

29. Africa AI In Biotechnology Market

30. AI In Biotechnology Market Competitive Landscape And Company Profiles

31. AI In Biotechnology Market Other Major And Innovative Companies

32. Global AI In Biotechnology Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The AI In Biotechnology Market

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

36. Appendix

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