세계의 바이오 의약품 분야 인공지능(AI) 시장 보고서(2025년)
Artificial Intelligence (AI) In Biopharmaceuticals Global Market Report 2025
상품코드 : 1815682
리서치사 : The Business Research Company
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한글목차

바이오 의약품 분야 인공지능(AI) 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에 CAGR은 33.0%를 나타낼 것으로 예측되고 65억 8,000만 달러로 성장할 전망입니다. 예측 기간 동안의 성장은 계산 생물학의 발전, 다중 모드 데이터 통합, AI와 생명과학의 융합, 규제 지원 및 프레임워크, 윤리적이고 공정한 AI 원칙 등에 기인할 수 있습니다. 예측 기간의 주요 동향으로는 다중 오믹스 데이터 통합, AI를 촉진한 신약 설계 및 발견, 설명 가능한 AI와 규제 수용, 기술적 발전, 규제 발전, 신흥 기회 등이 포함됩니다.

향후 5년간 33.0% 성장률 전망은 이전 예측 대비 0.2% 소폭 하향 조정된 수치입니다. 이 같은 하향 조정은 주로 미국과 타국 간 관세 영향 때문입니다. 관세 인상으로 영국과 이스라엘에서 원하는 인공지능 기반 의약품 설계 플랫폼 비용이 상승하여 미국 신약 개발 노력에 부담이 될 것으로 예상됩니다. 이는 연구개발 비용을 악화시키고 바이오의약품 혁신 부담을 가중시키며 신약 개발을 지연시킬 것입니다. 또한 상호 보복 관세와 무역 긴장 및 제한 강화로 인한 전 세계 경제 및 무역에 대한 부정적 영향으로 그 효과가 더 광범위하게 나타날 것입니다.

만성 질환의 증가 추세는 향후 바이오의약품 시장 내 인공지능(AI) 성장을 촉진할 전망입니다. 만성 질환은 일반적으로 서서히 진행되며 수년 또는 평생 지속될 수 있는 장기적 상태를 의미합니다. 이러한 질환의 요인은 생활습관 선택, 인구 고령화, 유전적 소인, 환경적 영향 등이 복합적으로 작용합니다. AI는 방대한 양의 다양한 데이터를 분석하고 패턴을 식별하며 치료 전략을 개인화할 수 있기 때문에 만성 질환 관리를 위한 바이오 의약품에서 점점 더 활용되고 있습니다. 예를 들어, 2023년 11월 미국 정부 기관인 보건복지부(Department of Health and Human Services)는 2022년 새로 기록된 만성 B형 간염 사례가 2021년 대비 11% 증가했다고 보고했습니다. 결과적으로 만성 질환의 증가하는 유병률은 AI 바이오의약품 시장을 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

Artificial intelligence (AI) applied in the biopharmaceutical sector involves the utilization of diverse AI techniques to analyze intricate biological data and enhance different aspects of drug discovery, development, and delivery within the pharmaceutical domain. This application of AI holds significant potential for transforming drug discovery, development, and delivery processes by expediting timelines, cutting costs, and enhancing the efficiency and efficacy of treatments.

The primary categories of offerings in artificial intelligence (AI) within the biopharmaceutical sector encompass hardware, software, and services. Hardware pertains to the tangible components of a computer system, including devices such as memory, disk drives, controllers, and specialized software such as database management systems. These offerings span various deployment models, encompassing both cloud-based and on-premises solutions. The technologies employed include machine learning, natural language processing, and deep learning, with applications spanning business processes, supply chains, drug discovery, medical imaging and diagnostics, and precision medicine. The end users of these AI solutions are diverse, ranging from manufacturers and contract research organizations to academic and government research institutes.

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 artificial intelligence (AI) in biopharmaceuticals market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in biopharmaceuticals market statistics, including artificial intelligence (AI) in biopharmaceuticals industry global market size, regional shares, competitors with an artificial intelligence (AI) in biopharmaceuticals market share, detailed artificial intelligence (AI) in biopharmaceuticals market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in biopharmaceuticals industry. This artificial intelligence (AI) in biopharmaceuticals 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 artificial intelligence (AI) in biopharmaceuticals market size has grown exponentially in recent years. It will grow from $1.59 billion in 2024 to $2.1 billion in 2025 at a compound annual growth rate (CAGR) of 32.2%. The growth in the historic period can be attributed to advancements in computational power, biomedical data explosion, precision medicine paradigm, regulatory support and guidance.

The artificial intelligence (AI) in biopharmaceuticals market size is expected to see exponential growth in the next few years. It will grow to $6.58 billion in 2029 at a compound annual growth rate (CAGR) of 33.0%. The growth in the forecast period can be attributed to advancements in computational biology, integration of multi-modal data, convergence of ai and life sciences, regulatory support and frameworks, ethical and fair ai principles. Major trends in the forecast period include integration of multi-omics data, AI-driven drug design and discovery, explainable AI and regulatory acceptance, technological advancements, regulatory developments, and emerging opportunities.

The forecast of 33.0% 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. Tariff escalations are likely to burden U.S. drug discovery efforts by driving up costs of artificial intelligence-powered drug design platforms sourced from the UK and Israel, exacerbating research and development expenses and increasing biopharmaceutical innovation burdens while delaying novel therapy development. 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 increasing prevalence of chronic diseases is projected to drive the growth of the artificial intelligence (AI) in biopharmaceuticals market in the future. Chronic diseases are long-term conditions that typically progress slowly and can persist for years or even a lifetime. Factors contributing to these diseases include lifestyle choices, an aging population, genetic predispositions, and environmental influences. AI is increasingly utilized in biopharmaceuticals for managing chronic diseases as it can analyze vast amounts of diverse data, identify patterns, and personalize treatment strategies. For example, in November 2023, the Department of Health and Human Services, a US government agency, reported an 11 percent increase in newly documented chronic hepatitis B cases in 2022 compared to 2021. Consequently, the rising prevalence of chronic diseases is driving growth in the AI biopharmaceuticals market.

Key players in artificial intelligence (AI) in biopharmaceuticals are focused on developing innovative advancements such as target and lead identification suite AI-powered solutions to expedite drug discovery and enable precision medicine, thereby transforming life sciences organizations. These solutions for drug discovery and precision medicine encompass a variety of innovative approaches to developing new drugs and tailoring treatments to individual patients. For example, in May 2023, Google LLC, a US-based provider of cloud computing services, introduced two new AI-powered tools named target and lead identification suites. These tools are designed to assist researchers in predicting and understanding the structure of proteins, a fundamental aspect of drug development. Additionally, the suite facilitates the ingestion, storage, analysis, and sharing of large volumes of genomic data, crucial for precision medicine initiatives. Furthermore, these tools streamline the drug discovery process, reduce costs, and expedite the introduction of new treatments to market. By offering efficient data management, accurate predictions of protein structures, and advanced genomic analysis capabilities, these tools aim to revolutionize drug development processes and enhance patient outcomes.

In February 2023, ZS Associates, a management consulting and technology firm based in the United States, successfully acquired Trials.ai Inc. for an undisclosed sum. This strategic acquisition is geared towards elevating design processes within the pharmaceutical industry by harnessing artificial intelligence (AI). The goal is to optimize operational speed, enhance participant experiences, and accelerate the delivery of pharmaceutical therapies to the market. Trials.ai Inc., headquartered in the US, specializes in revolutionizing clinical trials through the application of artificial intelligence (AI) and machine learning (ML) technologies.

Major companies operating in the artificial intelligence (AI) in biopharmaceuticals market are Apple Inc., Google LLC, Microsoft Corporation, Tencent Holdings Limited, Amazon Web Services Inc., International Business Machines Corporation, Exscientia Limited, NVIDIA Corporation, Amgen Inc., DeepMind Technologies Limited, Schrodinger Inc., XtalPi Inc., ConcertAI Inc., Insilico Medicine Inc., Recursion Pharmaceuticals, BenevolentAI, BioXcel Therapeutics, Atomwise Inc., BioAge Labs Inc., GNS Healthcare, Berg Health, Deep 6 AI Inc., Cloud Pharmaceuticals Inc., Numerate Inc., AI Therapeutics, Envisagenics, twoXAR Inc., Cyclica Inc.

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

The countries covered in the artificial intelligence (ai) in biopharmaceuticals market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in biopharmaceuticals market consists of revenues earned by entities by services such as drug discovery, personalized medicine analytics, clinical trial optimization, healthcare decision support, and data integration and analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in biopharmaceuticals market also includes of sales of decision support System, predictive modeling tools, robotics, and automation systems. 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.

Artificial Intelligence (AI) In Biopharmaceuticals 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 artificial intelligence (ai) in biopharmaceuticals 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 artificial intelligence (ai) in biopharmaceuticals ? 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 artificial intelligence (ai) in biopharmaceuticals 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. Artificial Intelligence (AI) In Biopharmaceuticals Market Characteristics

3. Artificial Intelligence (AI) In Biopharmaceuticals Market Trends And Strategies

4. Artificial Intelligence (AI) In Biopharmaceuticals 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 Artificial Intelligence (AI) In Biopharmaceuticals Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) In Biopharmaceuticals Market Segmentation

7. Artificial Intelligence (AI) In Biopharmaceuticals Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) In Biopharmaceuticals Market

9. China Artificial Intelligence (AI) In Biopharmaceuticals Market

10. India Artificial Intelligence (AI) In Biopharmaceuticals Market

11. Japan Artificial Intelligence (AI) In Biopharmaceuticals Market

12. Australia Artificial Intelligence (AI) In Biopharmaceuticals Market

13. Indonesia Artificial Intelligence (AI) In Biopharmaceuticals Market

14. South Korea Artificial Intelligence (AI) In Biopharmaceuticals Market

15. Western Europe Artificial Intelligence (AI) In Biopharmaceuticals Market

16. UK Artificial Intelligence (AI) In Biopharmaceuticals Market

17. Germany Artificial Intelligence (AI) In Biopharmaceuticals Market

18. France Artificial Intelligence (AI) In Biopharmaceuticals Market

19. Italy Artificial Intelligence (AI) In Biopharmaceuticals Market

20. Spain Artificial Intelligence (AI) In Biopharmaceuticals Market

21. Eastern Europe Artificial Intelligence (AI) In Biopharmaceuticals Market

22. Russia Artificial Intelligence (AI) In Biopharmaceuticals Market

23. North America Artificial Intelligence (AI) In Biopharmaceuticals Market

24. USA Artificial Intelligence (AI) In Biopharmaceuticals Market

25. Canada Artificial Intelligence (AI) In Biopharmaceuticals Market

26. South America Artificial Intelligence (AI) In Biopharmaceuticals Market

27. Brazil Artificial Intelligence (AI) In Biopharmaceuticals Market

28. Middle East Artificial Intelligence (AI) In Biopharmaceuticals Market

29. Africa Artificial Intelligence (AI) In Biopharmaceuticals Market

30. Artificial Intelligence (AI) In Biopharmaceuticals Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) In Biopharmaceuticals Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) In Biopharmaceuticals Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Biopharmaceuticals Market

34. Recent Developments In The Artificial Intelligence (AI) In Biopharmaceuticals Market

35. Artificial Intelligence (AI) In Biopharmaceuticals Market High Potential Countries, Segments and Strategies

36. Appendix

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