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세계의 제약 분야 생성형 AI 시장 보고서 : 동향, 예측 및 경쟁 분석(-2030년)

Generative AI in Pharmaceutical Market Report: Trends, Forecast and Competitive Analysis to 2030
발행일: | 리서치사: Lucintel | 페이지 정보: 영문 150 - page report | 배송안내 : 3일 (영업일 기준)

    
    
    




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제약 분야 생성형 AI 동향과 전망

세계 제약 분야 생성형 AI 시장의 미래는 임상시험 연구, 신약 개발 및 연구 개발 시장에서의 기회로 인해 유망해 보입니다. 세계 제약 분야 생성형 AI 시장은 2024년부터 2030년까지 29.5%의 연평균 복합 성장률(CAGR)를 나타낼 전망입니다. 이 시장의 주요 촉진요인은 혁신적인 신약 개발 및 개발 프로세스, 임상시험 설계에 대한 수요 증가, 의약품 합성 데이터 생성에 대한 요구 사항 증가입니다. 임상시험을 통해 안전성과 유효성을 모니터링하고 환자 데이터를 분석하여 맞춤 치료 계획을 수립하기 위한 필요성이 증가하고 있습니다.

제약 분야 생성형 AI 시장에 대한 인사이트

Lucintel은 딥러닝이 거대한 데이터 세트에서 패턴을 발견하고 중요한 표현을 제거하는 데 매우 효과적인 방법이기 때문에 예측 기간 동안 가장 큰 부문을 차지할 것으로 예상하고 있습니다.

대규모 데이터 세트와 화학 구조 분석에 대한 요구가 증가함에 따라 신약 개발이 이 시장에서 가장 큰 부문을 차지할 것으로 보입니다.

북미는 만성 질환의 유병률 증가, 신약 개발 및 신약 개발의 높은 수요, 그리고 이 지역의 주요 기업들의 존재로 인해 예측 기간 동안 가장 규모가 큰 지역으로 남을 것입니다.

자주 묻는 질문

Q1. 시장 성장 예측은 다음과 같습니다.

A1. 세계 제약 분야 생성형 AI 시장은 2024년부터 2030년까지 연평균 29.5%의 연평균 복합 성장률(CAGR)를 나타낼 전망입니다.

Q2. 제약 분야 생성형 AI 시장 성장에 영향을 미치는 주요 요인은?

A2. 이 시장의 주요 촉진요인은 혁신적인 신약 개발 및 개발 프로세스 및 임상시험 설계에 대한 수요 증가, 임상시험용 합성 데이터 생성에 대한 요구 증가, 안전성 및 유효성 모니터링, 환자 데이터 분석 및 개별화 된 치료 계획에 대한 특정 요구 사항 증가입니다.

Q3. 시장의 주요 부문은 다음과 같습니다.

A3. 제약 분야 생성형 AI 시장의 미래는 임상시험 조사, 신약 개발 및 연구 개발 시장에서의 기회로 인해 더욱 유망해 보입니다.

Q4. 제약 분야 생성형 AI 기업은?

A4. 제약 분야 생성형 AI 시장 기업 중 일부는 다음과 같습니다.

  • Bayer
  • Insilico Medicine
  • Atomwise
  • BenevolentAI
  • Numerate
  • XtalPi
  • Berg Health
  • Conduent Incorporated
  • Fujitsu
  • OKRA

Q5. 향후 가장 큰 시장 부문은 다음과 같습니다.

A5. Lucintel은 딥러닝이 거대한 데이터 세트에서 패턴을 발견하고 중요한 표현을 제거하는 데 매우 효과적인 방법이기 때문에 예측 기간 동안 딥러닝이 계속해서 가장 큰 부문이 될 것으로 예상했습니다.

Q6. 시장에서 향후 5년간 가장 큰 시장이 될 것으로 예상되는 지역은 어디입니까?

A6. 북미는 만성 질환의 유병률 증가, 신약 개발 및 신약 개발의 높은 수요, 그리고 이 지역의 주요 기업의 존재로 인해 예측 기간 동안 가장 규모가 큰 지역으로 남을 것입니다.

Q7. 보고서 사용자 정의가 가능합니까?

A7. 네. Lucintel은 추가 비용없이 10%의 사용자 정의를 제공합니다.

목차

제1장 주요 요약

제2장 세계의 의약품 분야 생성형 AI 시장 : 시장 역학

  • 서론, 배경, 분류
  • 공급망
  • 업계 촉진요인과 과제

제3장 시장 동향과 예측 분석(2018-2030년)

  • 거시경제 동향(2018-2023년)과 예측(2024-2030년)
  • 세계의 의약품 분야 생성형 AI 시장 동향(2018-2023년)과 예측(2024-2030년)
  • 유형별 세계의 의약품 분야 생성형 AI 시장
    • 저분자
    • 고분자
  • 기술별 세계의 의약품 분야 생성형 AI 시장
    • 딥러닝
    • 자연언어처리
    • Querying Method
    • 상황인식형 처리
    • 기타
  • 용도별 세계의 의약품 분야 생성형 AI 시장
    • 임상시험 연구
    • Drug Discovery
    • 연구개발
    • 기타

제4장 지역별 시장 동향과 예측 분석(2018-2023년)

  • 지역별 세계의 의약품 분야 생성형 AI 시장
  • 북미의 의약품 분야 생성형 AI 시장
  • 유럽의 의약품 분야 생성형 AI 시장
  • 아시아태평양의 의약품 분야 생성형 AI 시장
  • 기타 지역의 의약품 분야 생성형 AI 시장

제5장 경쟁 분석

  • 제품 포트폴리오 분석
  • 운영상 통합
  • Porter의 Five Forces 분석

제6장 성장 기회와 전략적 분석

  • 성장 기회 분석
    • 유형별 세계의 의약품 분야 생성형 AI 시장 성장 기회
    • 기술별 세계의 의약품 분야 생성형 AI 시장 성장 기회
    • 용도별 세계의 의약품 분야 생성형 AI 시장 성장 기회
    • 지역별 세계의 의약품 분야 생성형 AI 시장 성장 기회
  • 세계 의약품 분야 생성형 AI 시장의 새로운 동향
  • 전략적 분석
    • 신제품 개발
    • 세계의 의약품 분야 생성형 AI 시장 능력 확대
    • 세계 의약품 분야 생성형 AI 시장의 인수합병(M&A) 및 합작투자(JV)
    • 인증 및 라이선싱

제7장 유력 기업 개요

  • Bayer
  • Insilico Medicine
  • Atomwise
  • BenevolentAI
  • Numerate
  • XtalPi
  • Berg Health
  • Conduent Incorporated
  • Fujitsu
  • OKRA
LSH 24.04.22

Generative AI in Pharmaceutical Trends and Forecast

The future of generative AI in the global pharmaceutical market looks promising with opportunities in the clinical trial research, drug discovery, research and development markets. Generative AI in the global pharmaceutical market is expected to grow with a CAGR of 29.5% from 2024 to 2030. The major drivers for this market are rising demand for innovative drug discovery and development processes and design clinical trials, growing requirement to generate synthetic data for clinical trials, and increasing need to monitor the safety and efficacy, and analyze patient data and identify personalized treatment plans.

A more than 150-page report is developed to help in your business decisions.

Generative AI in Pharmaceutical by Segment

The study includes a forecast for generative AI in the global pharmaceutical by type, technology, application, and region.

Generative AI in Pharmaceutical Market by Type [Shipment Analysis by Value from 2018 to 2030]:

  • Small Molecule
  • Large Molecule

Generative AI in Pharmaceutical Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Deep Learning
  • Natural Language Processing
  • Querying Method
  • Context-Aware Processing
  • Others

Generative AI in Pharmaceutical Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Clinical Trial Research
  • Drug Discovery
  • Research and Development
  • Others

Generative AI in Pharmaceutical Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Generative AI Companies in Pharmaceutical Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies generative AI companies in pharmaceutical market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI companies in pharmaceutical market are profiled in this report include-

  • Bayer
  • Insilico Medicine
  • Atomwise
  • BenevolentAI
  • Numerate
  • XtalPi
  • Berg Health
  • Conduent Incorporated
  • Fujitsu
  • OKRA

Generative AI in Pharmaceutical Market Insights

Lucintel forecasts that deep learning will remain the largest segment over the forecast period as it is highly effective method for discovering patterns and removing significant representations from huge datasets.

Within this market, drug discovery will remain the largest segment due to rising need for analysis of large datasets and chemical structures.

North America will remain the largest region over the forecast period due to increasing prevalence of chronic diseases, high need for drug discovery and development, and presence of major players in the region.

Features of Generative AI in the Global Pharmaceutical Market

Market Size Estimates: Generative AI in pharmaceutical market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Generative AI in pharmaceutical market size by type, technology, application, and region in terms of value ($B).

Regional Analysis: Generative AI in pharmaceutical market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, technologies, applications, and regions for generative AI in the pharmaceutical market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the pharmaceutical market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the growth forecast for generative AI in pharmaceutical market?

Answer: Generative AI in the global pharmaceutical market is expected to grow with a CAGR of 29.5% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of generative AI in pharmaceutical market?

Answer: The major drivers for this market are rising demand for innovative drug discovery and development processes and design clinical trials, growing requirement to generate synthetic data for clinical trials, and increasing need to monitor the safety and efficacy, and analyze patient data and identify personalized treatment plans.

Q3. What are the major segments for generative AI in pharmaceutical market?

Answer: The future of generative AI in the pharmaceutical market looks promising with opportunities in the clinical trial research, drug discovery, research and development markets.

Q4. Who are the key generative AI companies in pharmaceutical market?

Answer: Some of the key generative AI companies in pharmaceutical market are as follows:

  • Bayer
  • Insilico Medicine
  • Atomwise
  • BenevolentAI
  • Numerate
  • XtalPi
  • Berg Health
  • Conduent Incorporated
  • Fujitsu
  • OKRA

Q5. Which generative AI in pharmaceutical market segment will be the largest in future?

Answer: Lucintel forecasts that deep learning will remain the largest segment over the forecast period as it is highly effective method for discovering patterns and removing significant representations from huge datasets.

Q6. In generative AI in pharmaceutical market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to increasing prevalence of chronic diseases, high need for drug discovery and development, and presence of major players in the region.

Q.7 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for generative AI in the pharmaceutical market by type (small molecule and large molecule), technology (deep learning, natural language processing, querying method, context-aware processing, and others), application (clinical trial research, drug discovery, research and development, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Generative AI in the Global Pharmaceutical Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Generative AI in the Global Pharmaceutical Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Generative AI in the Global Pharmaceutical Market by Type
    • 3.3.1: Small Molecule
    • 3.3.2: Large Molecule
  • 3.4: Generative AI in the Global Pharmaceutical Market by Technology
    • 3.4.1: Deep Learning
    • 3.4.2: Natural Language Processing
    • 3.4.3: Querying Method
    • 3.4.4: Context-aware Processing
    • 3.4.5: Others
  • 3.5: Generative AI in the Global Pharmaceutical Market by Application
    • 3.5.1: Clinical Trial Research
    • 3.5.2: Drug Discovery
    • 3.5.3: Research and Development
    • 3.5.4: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Generative AI in the Global Pharmaceutical Market by Region
  • 4.2: Generative AI in the North American Pharmaceutical Market
    • 4.2.1: Generative AI in the North American Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
    • 4.2.2: Generative AI in the North American Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
  • 4.3: Generative AI in the European Pharmaceutical Market
    • 4.3.1: Generative AI in the European Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
    • 4.3.2: Generative AI in the European Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
  • 4.4: Generative AI in the APAC Pharmaceutical Market
    • 4.4.1: Generative AI in the APAC Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
    • 4.4.2: Generative AI in the APAC Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
  • 4.5: Generative AI in the ROW Pharmaceutical Market
    • 4.5.1: Generative AI in the ROW Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
    • 4.5.2: Generative AI in the ROW Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Type
    • 6.1.2: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Technology
    • 6.1.3: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Application
    • 6.1.4: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Region
  • 6.2: Emerging Trends of Generative AI in the Global Pharmaceutical Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of Generative AI in the Global Pharmaceutical Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures of Generative AI in the Global Pharmaceutical Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Bayer
  • 7.2: Insilico Medicine
  • 7.3: Atomwise
  • 7.4: BenevolentAI
  • 7.5: Numerate
  • 7.6: XtalPi
  • 7.7: Berg Health
  • 7.8: Conduent Incorporated
  • 7.9: Fujitsu
  • 7.10: OKRA
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