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药品市场产生人工智慧报告：2030 年趋势、预测与竞争分析
市场调查报告书
商品编码
1416292

药品市场产生人工智慧报告：2030 年趋势、预测与竞争分析

Generative AI in Pharmaceutical Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3个工作天内

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简介目录

製药领域生成式人工智慧的趋势与预测

全球生成人工智慧在製药市场的未来看起来充满希望，在临床试验研究、药物发现和研发市场方面存在着机会。预计 2024 年至 2030 年，全球製药市场生成人工智慧将以 29.5% 的复合年增长率成长。该市场的主要驱动力是对创新药物发现和开发流程、临床试验设计的需求不断增长，以及产生药品合成资料的需求不断增长。临床试验正在进行中，这增加了监测安全性和有效性以及分析患者资料以确定个别化治疗计划的需求。

洞察製药领域的生成人工智慧市场

Lucintel 预测，深度学习将继续成为整个预测期内最大的细分市场，因为它是发现模式并从大型资料集集中删除重要表示的高效方法。

由于对大型资料集和化学结构分析的需求不断增加，药物发现将继续成为该市场的最大部分。

由于慢性病盛行率不断上升、对药物发现和开发的高度需求以及主要企业在该地区的存在，北美在整个预测期内仍将是最大的地区。

常问问题

Q1.市场成长预测是多少：

A1. 2024 年至 2030 年，全球生成人工智慧市场预计将以 29.5% 的复合年增长率成长。

Q2. 影响製药市场生成人工智慧成长的关键因素有哪些：

A2. 该市场的主要驱动力是对创新药物发现和开发流程以及临床试验设计的需求不断增长，对临床试验的合成资料生成、安全性和有效性监测的要求不断增加，患者对特定资料分析和分析的需求不断增长。

Q3.市场的主要细分市场是：

A3. 製药领域的生成人工智慧市场前景广阔，在临床试验研究、药物发现和研发市场方面存在机会。

Q4. 製药领域的生成式人工智慧公司有哪些？

A4. 製药市场中的一些公司是：

  • 拜耳
  • In Silico医学
  • 原子方面
  • 仁慈的人工智慧
  • 量化
  • XtalPi
  • 伯格健康
  • 辅项
  • 富士通
  • 秋葵

Q5.未来最大的细分市场是什么？

A5.Lucintel 预测，深度学习将在整个预测期内继续成为最大的细分市场，因为它是发现模式并从大型资料集集中删除重要表示的高效方法。

Q6.未来五年预计哪些地区的市场成长最大？

A6. 由于慢性病盛行率不断上升、对药物发现和开发的高度需求以及主要企业在该地区的存在，北美在整个预测期内仍将是最大的地区。

Q7. 可以客製化报告吗？

A7。

目录

第一章执行摘要

第二章全球製药人工智慧市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球製药生成人工智慧市场趋势（2018-2023）与预测（2024-2030）
  • 按类型分類的全球药品生成人工智慧市场
    • 低分子
    • 高分子
  • 科技驱动催生全球医药AI市场
    • 深度学习
    • 自然语言处理
    • 如何联络我们
    • 情境感知处理
    • 其他的
  • 按应用分類的全球製药人工智慧市场
    • 临床试验调查
    • 药物发现
    • 研究与开发
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 全球药品生成人工智慧市场（按地区）
  • 北美製药业的生成式人工智慧市场
  • 欧洲製药业的生成式人工智慧市场
  • 亚太地区药品生成人工智慧市场
  • 其他地区製药领域的生成式人工智慧市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球生成人工智慧在药品市场的成长机会（按类型）
    • 全球生成人工智慧在製药市场的技术成长机会
    • 全球生成人工智慧在製药市场的成长机会（按应用）
    • 全球生成人工智慧在製药市场的成长机会（按地区）
  • 全球医药生成人工智慧市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球製药业生成人工智慧市场容量不断扩大
    • 全球生成人工智慧製药市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

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

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