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藥品市場產生人工智慧報告：2030 年趨勢、預測與競爭分析
市場調查報告書
商品編碼
1416292

藥品市場產生人工智慧報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

製藥領域生成式人工智慧的趨勢與預測

全球生成人工智慧在製藥市場的未來看起來充滿希望，在臨床試驗研究、藥物發現和研發市場方面存在著機會。預計 2024 年至 2030 年，全球製藥市場生成人工智慧將以 29.5% 的複合年成長率成長。該市場的主要驅動力是對創新藥物發現和開發流程、臨床試驗設計的需求不斷成長，以及產生藥品合成資料的需求不斷成長。臨床試驗正在進行中，這增加了監測安全性和有效性以及分析患者資料以確定個別化治療計劃的需求。

洞察製藥領域的生成人工智慧市場

Lucintel 預測，深度學習將繼續成為整個預測期內最大的細分市場，因為它是發現模式並從大型資料集集中刪除重要表示的高效方法。

由於對大型資料集和化學結構分析的需求不斷增加，藥物發現將繼續成為該市場的最大部分。

由於慢性病盛行率不斷上升、對藥物發現和開發的高度需求以及主要企業在該地區的存在，北美在整個預測期內仍將是最大的地區。

常問問題

Q1.市場成長預測是多少：

A1. 2024 年至 2030 年，全球生成人工智慧市場預計將以 29.5% 的複合年成長率成長。

Q2. 影響製藥市場生成人工智慧成長的關鍵因素有哪些：

A2. 該市場的主要驅動力是對創新藥物發現和開發流程以及臨床試驗設計的需求不斷成長，對臨床試驗的合成資料生成、安全性和有效性監測的要求不斷增加，患者對特定資料分析和分析的需求不斷成長。

Q3.市場的主要細分市場是：

A3. 製藥領域的生成人工智慧市場前景廣闊，在臨床試驗研究、藥物發現和研發市場方面存在機會。

Q4. 製藥領域的生成式人工智慧公司有哪些？

A4. 製藥市場中的一些公司是：

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

Q5.未來最大的細分市場是什麼？

A5.Lucintel 預測，深度學習將在整個預測期內繼續成為最大的細分市場，因為它是發現模式並從大型資料集集中刪除重要表示的高效方法。

Q6.未來五年預計哪些地區的市場成長最大？

A6. 由於慢性病盛行率不斷上升、對藥物發現和開發的高度需求以及主要企業在該地區的存在，北美在整個預測期內仍將是最大的地區。

Q7. 可以客製化報告嗎？

A7。

目錄

第1章執行摘要

第2章全球製藥人工智慧市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球製藥生成人工智慧市場趨勢（2018-2023）與預測（2024-2030）
  • 按類型分類的全球藥品生成人工智慧市場
    • 低分子
    • 高分子
  • 科技驅動催生全球醫藥AI市場
    • 深度學習
    • 自然語言處理
    • 如何聯絡我們
    • 情境感知處理
    • 其他
  • 按應用分類的全球製藥人工智慧市場
    • 臨床試驗調查
    • 藥物發現
    • 研究與開發
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球藥品生成人工智慧市場（按地區）
  • 北美製藥業的生成式人工智慧市場
  • 歐洲製藥業的生成式人工智慧市場
  • 亞太地區藥品生成人工智慧市場
  • 其他地區製藥領域的生成式人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球生成人工智慧在藥品市場的成長機會（按類型）
    • 全球生成人工智慧在製藥市場的技術成長機會
    • 全球生成人工智慧在製藥市場的成長機會（按應用）
    • 全球生成人工智慧在製藥市場的成長機會（按地區）
  • 全球醫藥生成人工智慧市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球製藥業生成人工智慧市場容量不斷擴大
    • 全球生成人工智慧製藥市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業概況

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

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